‏إظهار الرسائل ذات التسميات retrospective. إظهار كافة الرسائل
‏إظهار الرسائل ذات التسميات retrospective. إظهار كافة الرسائل

الاثنين، 27 أغسطس 2012

Risk of fracture after bariatric surgery in the United Kingdom: population based, retrospective cohort study

Risk of fracture after bariatric surgery in the United Kingdom: population based, retrospective cohort study | BMJ

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Research Risk of fracture after bariatric surgery in the United Kingdom: population based, retrospective cohort study BMJ 2012; 345 doi: 10.1136/bmj.e5085 (Published 7 August 2012) Cite this as: BMJ 2012;345:e5085 Calcium and bone Musculoskeletal syndromes Osteoporosis Epidemiologic studies Article Related content Article metrics Arief Lalmohamed, pharmacoepidemiologist1, Frank de Vries, assistant professor 123, Marloes T Bazelier, pharmacoepidemiologist1, Alun Cooper, general practitioner 4, Tjeerd-Pieter van Staa, head of research and honorary professor of epidemiology 125, Cyrus Cooper, director and professor of rheumatology26, Nicholas C Harvey, senior lecturer and honorary consultant rheumatologist 2
1Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
2MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
3Maastricht University Medical Centre, Department of Clinical Pharmacy and Toxicology, Maastricht, Netherlands
4Bridge Medical Centre, Crawley, UK
5General Practice Research Database, Medicines and Healthcare Products Regulatory Agency, London, UK
6Institute of Musculoskeletal Sciences, University of Oxford, Oxford, UKCorrespondence to: C Cooper, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK cc{at}mrc.soton.ac.ukAccepted 6 July 2012AbstractObjectives To estimate fracture risk in patients receiving bariatric surgery versus matched controls.

Design Population based, retrospective cohort study.

Setting Use of records from the United Kingdom General Practice Research Database, now known as the Clinical Practice Research Datalink (from January 1987 to December 2010).

Participants Patients with a body mass index of at least 30, with a record of bariatric surgery (n=2079), and matched controls without a record (n=10?442). Each bariatric surgery patient was matched to up to six controls by age, sex, practice, year, and body mass index. Patients were followed from the date of bariatric surgery for the occurrence of any fracture. We used time dependent Cox regression to calculate relative rates of fracture, adjusted for disease and previous drug treatment, and time-interaction terms to evaluate fracture timing patterns.

Main outcome measure Relative rates of any, osteoporotic, and non-osteoporotic fractures.

Results Mean follow-up time was 2.2 years. Overall, there was no significantly increased risk of fracture in patients who underwent bariatric surgery, compared with controls (8.8 v 8.2 per 1000 person years; adjusted relative risk 0.89, 95% confidence interval 0.60 to 1.33). Bariatric surgery also did not affect risk of osteoporotic and non-osteoporotic fractures. However, we saw a trend towards an increased fracture risk after three to five years following surgery, as well as in patients who had a greater decrease in body mass index after surgery, but this was not significant.

Conclusion Bariatric surgery does not have a significant effect on the risk of fracture. For the first few years after surgery, these results are reassuring for patients undergoing such operations, but do not exclude a more protracted adverse influence on skeletal health in the longer term.

IntroductionObesity is an increasing public health problem worldwide. The prevalence of obesity (body mass index >30), among middle aged Europeans has been estimated as 15-20%.1 Data for the prevalence of morbid obesity (body mass index >40) are lacking in Europe. In the United States, at least 5% of the population is morbidly obese.2 It is now recognised that surgical treatment is the most effective route to weight loss for people with morbid obesity, accompanied by reduction of mortality and improvement of comorbid conditions.3 4 5

Bariatric surgical procedures (conventionally grouped as restrictive or malabsorptive) negatively affect bone remodelling, as suggested by studies on bone resorption markers, and bone mineral density. Restrictive procedures, such as vertical banded gastroplasty and laparoscopic adjustable banding, have been consistently reported to increase bone resorption,6 7 8 9 10 11 an increase that is similar in magnitude to that observed in other forms of weight reduction.8 The mechanisms behind the increase in bone resorption after weight loss are not fully understood, but two factors seem to be involved.

Firstly, reduced fat volume may lead to a reduction in circulating concentrations of oestrogens, which are partly synthesised in adipose tissue.10 Secondly, a fall in leptin could result in an increase in osteoclast recruitment and bone turnover.12 13 Malabsorptive procedures such as jejuno-ileal bypass and bilio-pancreatic diversion have also been associated with an increase of bone resorption and a decrease in bone mineral density14 15 16 17 18 19; contributory factors clearly include calcium and vitamin D malabsorption, and secondary hyperparathyroidism.20 The Roux-en-Y gastric bypass surgery (a combined restrictive and malabsorptive operation) is also associated with increased bone resorption and decreased bone mineral density.14 21 22 23 24 25 26 27

Although evidence indicates that patients may have decreased bone mineral density after bariatric surgery, the effect of the procedure on fracture risk has not been determined. Furthermore, the link between change in body mass index and fracture risk is unknown. Therefore, the aims of this study were to estimate the risk of fracture in patients with bariatric surgery compared with morbidly obese patients who did not undergo surgery, and to quantify the influence of the magnitude of body mass index decrease after surgery on fracture risk.

MethodsStudy populationA retrospective cohort study was conducted within the General Practice Research Database, now known as the Clinical Practice Research Datalink (www.cprd.com). The Clinical Practice Research Datalink contains computerised medical records of 625 primary care practices in the United Kingdom, representing 8% of the population. The database provides detailed information on demographics, drug prescriptions, clinical events, specialist referrals, and hospital admissions. Previous studies using the database have shown a high level of data validity with respect to the reporting of fractures (>90% of fractures were confirmed),28 and several systematic reviews have reported high degrees of validity and completeness of other diagnoses or smoking status.29 30 31

The study population consisted of all patients with a Clinical Practice Research Datalink read code for bariatric surgery during the period of valid data collection (from January 1987 to December 2010). Gastrointestinal surgery for cancer was excluded in this study, because cancer itself could influence bone metabolism. The index date was defined as the first record for bariatric surgery. Bariatric surgery patients were only included if they had a body mass index record with a value of at least 30 at some point before surgery. Bariatric surgery patients were stratified by surgical technique, including adjustable gastric banding, Roux-en-Y gastric bypass, and other techniques (for example, gastrectomy, and malabsorptive procedures).

Selection of controlsEach patient was matched by age, sex, body mass index (within a 10% difference), calendar time, and practice to up to six patients without a history of bariatric surgery (at any time during the study period). Body mass index entries were selected as the latest record before surgery (measured at any time before the index date).

OutcomesWe followed up patients from the index date to either the end of data collection, the date of transfer of the patient out of the practice area, the patient’s death, or fracture (Clinical Practice Research Datalink read codes), whichever came first. Fracture type was stratified according to World Health Organization definitions into osteoporotic fracture (spine, hip, forearm, or humerus) and non-osteoporotic fracture.32 33 For the analyses of these two different fracture groups, we followed up all patients for the occurrence of a fracture in the specific group, regardless of whether a fracture had already occurred in the other group (that is, patients could have sustained both an osteoporotic and non-osteoporotic fracture).

Potential confoundersGeneral risk factors considered in this study included age, sex, smoking status (a record of currently smoking, ex-smoker, or never smoked before; missing data were treated as a separate category in the analyses), a record of falls in the previous 6-12 months (any fall recorded by the general practitioner; falls in the previous six months were excluded), history of fracture, history of a chronic disease (cerebrovascular disease, heart failure, inflammatory bowel disease, asthma or chronic obstructive pulmonary disease, anaemia, and dementia), and a prescription in the previous six months for glucocorticosteroids, antiobesity drugs, calcium or vitamin D supplements, antihypertensive drugs, loop diuretics, hypnotics or anxiolytics, antipsychotics, antidepressants, proton pump inhibitors, or antiepileptic substances, and drugs for Parkinson’s disease treatment.34 35 36 37 Age and the most recent record of body mass index before the index date were handled as continuous variables in the analyses.

Statistical analysisWe conducted two main analyses using stratified Cox proportional hazards models (SAS 9.2, PHREG procedure; stratified matched cohort analysis). The first analysis compared the fracture rate in patients with bariatric surgery with that in control patients (with the same body mass index), to yield an estimate of the relative risk of fracture in bariatric surgery patients (stratified by type of fracture and type of bariatric surgical technique). We divided the total follow-up period into 30 day intervals. The presence of risk factors was assessed by reviewing the computerised medical records of risk factors before the start of an interval. We included potential confounders in the final model if they independently changed the ß coefficient for bariatric surgery by at least 10%.

The second analysis studied the effect of excess loss in body mass index after surgery on fracture risk (with the limit of normality defined as body mass index of 25). For that purpose, we divided all patients with bariatric surgery into four different groups: those with no excess loss after surgery, those with 0-50% excess loss after surgery, those with at least 50% excess loss after surgery, and those whose amount of excess loss was unknown. We calculated excess loss as follows: 100×(preoperative body mass index-present body mass index)÷(preoperative body mass index-25). Based on this excess loss, person time was allocated to one of these four defined categories. In the event of no body mass index assessments in that specific period, the person time was allocated to the category in which excess loss was unknown.

We examined timing of fracture occurrence after bariatric surgery by including time interaction terms (time period×bariatric surgery) into the model for the following time intervals: less than three months, three to 12 months, one to two years, two to five years, and more than five years. Using smoothing spline regression,38 we visualised the time trend for risk of fracture for these given time intervals.

In a sensitivity analysis, we restricted bariatric surgery patients to those with a body mass index record within two months before bariatric surgery, and reset the index date for controls as the date of most recent body mass index recording. These analyses were further adjusted for calendar year and age at the newly defined index date (along with all other confounders).

Our power analysis demonstrated a power of 88%, assuming a relative risk of 1.6, a type I probability of 0.05, and based on our cohort sizes (2079 bariatric surgery patients, with an average of 5.02 matched controls per patient, and a fracture probability in the control group of 2.0%).

ResultsBaseline characteristicsTable 1? shows baseline characteristics of bariatric surgery patients and matched controls. We identified 2079 patients who underwent bariatric surgery (mean age 44.6 years, 83.9% female patients, mean body mass index 43.2), and a total of 10?442 matched controls (mean age 44.9 years, 85.3%, 40.8). Adjustable gastric banding was the most frequent surgical technique for bariatric surgery (1249 (60%)), followed by Roux-en-Y gastric bypass (613 (29%), fig 1?). The median difference between the index date and most recent record of body mass index was 109 days (interquartile range 241) for patients who underwent bariatric surgery and 321 days (680) for matched controls. Bariatric surgery patients were more likely to have used antidiabetics, antidepressants, anxiolytics or hypnotics, and proton pump inhibitors in the previous six months. Total duration of follow-up was 28?899 person years (mean 2.2 years for bariatric surgery patients and 2.3 years for matched controls).

View this table:View PopupView InlineTable 1 Baseline characteristics of bariatric surgery patients and controls matched by age, sex, and body mass index. Data are no (%) of patients unless stated otherwise

View larger version:In a new windowDownload as PowerPoint SlideFig 1 Number of bariatric surgery procedures performed between 1990 and 2010, by year and type of bariatric surgery

Overall risk of fractureTable 2? shows the overall risk of fracture in bariatric surgery patients compared with matched controls, stratified by fracture type. We did not observe an increase in overall risk for any fracture (8.8 v 8.2 per 1000 person years; adjusted relative risk 0.89, 95% confidence interval 0.60 to 1.33), osteoporotic fracture (0.67, 0.34 to 1.32), or non-osteoporotic fracture (0.90, 0.56 to 1.45). Similar rates for any fracture were observed throughout the different surgical techniques.

View this table:View PopupView InlineTable 2 Risk of fracture in bariatric surgery patients compared with controls matched by age, sex, and body mass index, by type of fracture

Figure 2? and table 3? demonstrate the change in adjusted relative risk with time after surgery, showing a modestly increased risk over the first three months, followed by a reduction and then a trend towards increasing fracture risk after three to five years. However, none of these trends achieved statistical significance, and overall there was no significant interaction between bariatric surgery and time. Our sensitivity analysis showed similar findings when we restricted the sets to bariatric surgery with only recent records of body mass index. Table 2 lists confounders that were included in the final adjusted models.

View larger version:In a new windowDownload as PowerPoint SlideFig 2 Spline regression plot of time since bariatric surgery and risk of any fracture in bariatric surgery patients versus matched controls. Risk adjusted for confounders as shown in table 2

View this table:View PopupView InlineTable 3 Risk of any fracture in bariatric surgery patients and matched controls over time

Risk factors for fracture in bariatric surgery patientsFor bariatric surgery patients, use of anxiolytics in the previous six months (adjusted relative risk 1.82, 95% confidence interval 1.06 to 3.15), and a history of cerebrovascular disease (8.26, 4.40 to 15.52) or previous fracture (2.44, 1.59 to 3.76) raised the risk of fracture. Use of antidepressants, antidiabetics, proton pump inhibitors, or statins within six months did not significantly alter fracture risk within these patients (data not shown).

Influence of excess reduction in body mass index after surgeryAlthough we saw a trend towards an increased risk of fracture with greater reduction of excess body mass index after surgery, this was not significant (table 4?). However, this analysis had limited statistical power. Thus, compared with patients with a medium excess loss in body mass index (1-50%), the adjusted relative risk was 0.32 (95% confidence interval 0.04 to 2.57) in those with no excess loss in body mass index, and 1.46 (0.55 to 3.85) in those who lost over 50% of their excess body mass index. The association between body mass index loss and fracture risk remained similar after we included only patients with a body mass index recording in the two months before bariatric surgery.

View this table:View PopupView InlineTable 4 Risk of any fracture in bariatric surgery patients, by excess body mass index change during follow-up

DiscussionTo our knowledge, this is the first study to investigate fracture risk in patients who underwent bariatric surgery versus matched controls. Although we observed a possible rise in fracture risk at three to five years after surgery, overall, we were not able to demonstrate a significantly increased risk of any, non-osteoporotic, or osteoporotic fracture with bariatric surgery. We saw a trend towards increasing fracture risk with greater magnitude of excess reduction in body mass index after bariatric surgery, but again, this was not significant.

Comparison with other studiesAlthough no fracture studies have compared bariatric surgery patients with matched controls so far, our findings are indirectly supported by a meta-analysis by De Laet and colleagues.39 They showed that a decrease in body mass index was less predictive of fracture in obese patients (>30) than in those with a body mass index of less than 30. For example, when comparing patients with a body mass index of 15 and 20, the researchers found a 3.7-fold elevated risk of hip fracture in the leaner patients. However, when comparing those with a body mass index of 30 and 35, the relative risk was much lower (non-significant 1.1-fold increase in leaner patients). The authors suggested that leanness is a much more important risk factor for fracture, rather than considering obesity as a protective factor. A study by Nakamura and colleagues estimated fracture rates in bariatric surgery patients, but could not compare this group with controls matched by body mass index.40 Although they do suggest an increased risk based on expected age and sex specific incidence, this difference may well be the effect of obesity related comorbidities (as we have shown in our baseline characteristics).

So far, studies on bariatric surgery and bone effects have been limited to a number of reports on bone resorption markers and bone mineral density.10 14 15 16 17 18 19 21 22 23 24 25 26 27 Although the effect seemed to be small and varied between studies, the results suggested that bariatric surgery might negatively affect bone outcomes. For example, Giusti and colleagues reported a slight decrease in bone mineral density at the femoral neck (-5.8%), trochanter (-6.5%), but not at the lumbar spine (+8.0%), two years after gastric banding procedures.6 Similarly, Guney and colleagues showed a 9.9% drop in bone mineral density at the femoral neck, one year after vertical banded gastroplasty.6 10 The detrimental effect on bone seemed to be less apparent with malabsorptive procedures. Ten years after biliopancreatic diversion, a 4.2% decrease in spinal bone mineral density was found, but no significant change in hip bone mineral density.16 For the Roux-en-Y gastric bypass, a combined restrictive and malabsorptive procedure, decreases in femoral bone mineral density were found to be as low as 3.5% after two years,23 and as high as 10% after one year.27

The reduction in bone mineral density after bariatric surgery may have several biological mechanisms. Firstly, a fall in bone active adipocyte hormones (oestrogen and leptin) following bariatric surgery may initiate bone loss. Oestrogen depletion has been associated with vertical banded gastroplasty (22% reduction after one year),10 and is strongly linked to bone loss in perimenopausal women.41 Decreased leptin levels as a result of weight loss could enhance osteoclast activity and therefore initiate bone loss,12 13 and alter the balance between osteoblast and adipocyte formation.

Secondly, lowered levels of insulin and amylin could follow weight loss, resulting in enhanced osteoclast recruitment and inhibition of osteoblast activity.12 Thirdly, although evidence is conflicting, malabsorptive procedures could be linked with calcium and vitamin D deficiency (both are associated with a decrease in bone mineral density and increased fracture risk).42 Since malabsorptive procedures (including combined restrictive or malabsorptive procedures, such as the Roux-en-Y gastric bypass) are more likely to lead to malnutrition (hypocalcaemia) and vitamin deficiencies than restrictive procedures (for example, gastric banding),43 risk of fracture could differ between these surgical techniques. Although limited in statistical power, our study did not observe such a difference in fracture risk between gastric banding and Roux-en-Y gastric bypass. Finally, the effect of bariatric surgery on bone might also depend not only on the type of surgical procedure itself, but also on the degree of sarcopenia caused or accelerated by marked weight loss.

Alternatively, the observed decrease in bone mineral density might be explained by measurement errors of bone mineral density in morbidly obese patients.6 Variability of bone mineral density rises substantially when soft tissue depths exceed 25 cm.44 Moreover, Madsen and colleagues showed that fat around bone could falsely increase measured levels of bone mineral density.45 As a consequence, reported falls in bone mineral density at femoral and trochanter sites after bariatric surgery could have been overestimated.

Strengths and limitations of the studyOur study has several strengths. To the best of our knowledge, this is the first cohort of bariatric surgery patients in which the risk of fracture has been investigated. We had a statistical power of 88% to detect a relative risk of at least 1.6. Our data sources had detailed longitudinal information on drug prescribing and other risk factors for fracture, such as smoking status. Furthermore, since 2004, body mass index is very well registered within the Clinical Practice Research Datalink (>85%), which is a result of the introduction of the Quality Outcomes Framework in 2004. This allowed us to match controls by body mass index accurately, which is important given the association between body weight and bone mineral density.12

A major limitation of this study was that body mass index was not routinely collected over short time intervals. We therefore selected the most recent recording of body mass index, assuming this information has not substantially changed over time (before surgery). This lack of data also limited our statistical power in the analysis evaluating the influence of excess reduction in body mass index. Therefore, it was not possible to draw definite conclusions about the role of the magnitude of reduction in body mass index after bariatric surgery. Although obese patients probably change weight continuously, and we did not have information on body mass index at the exact day of bariatric surgery, restricting the study population to those with records in the previous two months did not substantially change the results. Furthermore, the Clinical Practice Research Datalink describes events that occurred or were recorded in general practice. Events occurring in secondary or intermediary services could therefore be incompletely ascertained. In addition, we did not have information on bone mineral density, which could have been useful for determining the underlying biological mechanism in the association between bariatric surgery and fracture.

We cannot exclude the possibility of confounding by (contra)indication in this study. The National Institute for Health and Clinical Excellence guidelines recommend bariatric surgery in morbidly obese patients, preferably with coexisting diseases (for example, type 2 diabetes and hypertension) that could be improved by weight loss.43 We did not have information on whether patients were considered for bariatric surgery and then did not undergo an operation because of lack of associated comorbidities. However, since these comorbidities were probably not associated with reduced fracture rate, it is unlikely that this consideration would reduce our ability to detect a difference in fracture rate between bariatric surgery and control patients.

Although a possibility of residual confounding due to unmeasured unbalances between the two study groups still exists, controls in this study seemed to be healthier (with fewer obesity related comorbidities) than patients who underwent bariatric surgery, and could therefore not have masked a true association between bariatric surgery and fracture. Furthermore, poor general fitness (associated with a loss in bone mineral density) may be a reason to not undergo bariatric surgery. Sjöström and colleagues showed that bariatric surgery patients were more physically active than obese controls.46 Although we adjusted for factors such as hypertension and use of glucose lowering drugs, we could not adjust for physical activity. However, this healthy user bias would have probably resulted in a decreased fracture risk shortly after surgery, whereas we found a trend towards the opposite. It is usual for patients to modify their diet before surgery to reduce the fat and glycogen content of the liver. This diet may be based on solid or liquid foods. We did not have information on perioperative diet, and therefore were not able to adjust for this potential confounder, but feel that such dietary change over the period of a few weeks would be unlikely to substantially alter fracture risk, particularly because the diet is aimed to preserve muscle tissue.

We used a widely accepted definition of osteoporotic and non-osteoporotic fracture types, but it is difficult to be sure about fracture cause based simply on fracture site, with no information on the level of trauma. Finally, we had a relatively short follow-up time (median time 2.2 years for bariatric surgery patients), which yielded a reduced power to exclude an increase in fracture risk beyond five years.

What is already known on this topicBariatric surgery can be considered among patients with morbid obesity

Bariatric surgery has been linked to a reduction in bone mineral density, although fracture rates compared with matched controls are unknown

What this study addsBariatric surgery does not have a significant effect on fracture risk

However, there could be an increase in risk after three to five years and in patients who have a greater decrease in body mass index after surgery

NotesCite this as: BMJ 2012;345:e5085

FootnotesContributors: All authors drafted the article, revised it critically for important intellectual content, and approved the final version to be published. CC had full access to all the data in the study and is the study guarantor. All authors were responsible for the study concept and design, and participated in the analysis and interpretation of data. AL led the statistical analysis. CC and NCH were responsible for the data acquisition.

Funding: This study was funded by a research grant from the International Osteoporosis Foundation and SERVIER. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: All authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: support from the International Osteoporosis Foundation and SERVIER for the submitted work; AL, FV, MB, and TS are employed by the Division of Pharmacoepidemiology and Clinical Pharmacology at Utrecht Institute for Pharmaceutical Sciences, which has received unrestricted research funding from the Netherlands Organisation for Health Research and Development, Dutch Health Care Insurance Board, Royal Dutch Pharmacists Association, private-publicly funded Top Institute Pharma (www.tipharma.nl, which includes cofunding from universities, government, and industry), EU Innovative Medicines Initiative, EU 7th Framework Program, Dutch Medicines Evaluation Board, Dutch Ministry of Health and industry (including GlaxoSmithKline, Pfizer); no financial relationships with any organisations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work.

Ethical approval: The Clinical Practice Research Datalink group obtained ethical approval from a multicentre research ethics committee for a purely observational research using data from the database, such as ours. This study obtained approval for the independent scientific advisory committee of the Clinical Practice Research Datalink, which is responsible for reviewing protocols for scientific quality.

Data sharing: No additional data available

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

References?Björntorp P. Obesity. Lancet1997;350:423-6.OpenUrlCrossRefMedlineWeb of Science?Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999-2008. JAMA2010;303:235-41.OpenUrlCrossRefMedline?Martin LF, Hunter SM, Lauve RM, O’Leary JP. Severe obesity: expensive to society, frustrating to treat, but important to confront. South Med J 1995;88:895-902.OpenUrlCrossRefMedlineWeb of Science?Stunkard AJ. Current views on obesity. Am J Med 1996;100:230-6.OpenUrlCrossRefMedlineWeb of Science?Kolanowski J. Surgical treatment for morbid obesity. Br Med Bull1997;53:433-44.OpenUrlFREE Full Text?Giusti V, Gasteyger C, Suter M, Heraief E, Gaillard RC, Burckhardt P. Gastric banding induces negative bone remodelling in the absence of secondary hyperparathyroidism: potential role of serum C telopeptides for follow-up. Int J Obes (Lond)2005;29:1429-35.OpenUrlCrossRefMedline?Cundy T, Evans MC, Kay RG, Dowman M, Wattie D, Reid IR. Effects of vertical-banded gastroplasty on bone and mineral metabolism in obese patients. Br J Surg1996;83:1468-72.OpenUrlMedlineWeb of Science?Olmos JM, Vázquez LA, Amado JA, Hernández JL, González Macías J. Mineral metabolism in obese patients following vertical banded gastroplasty. Obes Surg2008;18:197-203.OpenUrlCrossRefMedlineWeb of Science?Pugnale N, Giusti V, Suter M, Zysset E, Heraief E, Gaillard RC, et al. Bone metabolism and risk of secondary hyperparathyroidism 12 months after gastric banding in obese pre-menopausal women. Int J Obes (Lond)2003;27:110-6.OpenUrlCrossRef?Guney E, Kisakol G, Ozgen G, Yilmaz C, Yilmaz R, Kabalak T. Effect of weight loss on bone metabolism: comparison of vertical banded gastroplasty and medical intervention. Obes Surg2003;13:383-8.OpenUrlCrossRefMedline?DiGiorgi M, Daud A, Inabnet WB, Schrope B, Urban-Skuro M, Restuccia N, et al. Markers of bone and calcium metabolism following gastric bypass and laparoscopic adjustable gastric banding. Obes Surg2008;18:1144-8.OpenUrlCrossRefMedline?Reid IR. Relationships among body mass, its components, and bone. Bone2002;31:547-55.OpenUrlCrossRefMedlineWeb of Science?Meier CA, Bobbioni E, Gabay C, Assimacopoulos-Jeannet F, Golay A, Dayer J-M. IL-1 receptor antagonist serum levels are increased in human obesity: a possible link to the resistance to leptin? J Clin Endocrinol Metab 2002;87:1184-8.OpenUrlFREE Full Text?Bano G, Rodin DA, Pazianas M, Nussey SS. Reduced bone mineral density after surgical treatment for obesity. Int J Obes (Lond)1999;23:361-5.OpenUrlCrossRef?Adachi Y, Shiota E, Matsumata T, Iso Y, Yoh R, Kitano S. Osteoporosis after gastrectomy: bone mineral density of lumbar spine assessed by dual-energy X-ray absorptiometry. Calcif Tissue Int 2000;66:119-22.OpenUrlCrossRefMedlineWeb of Science?Marceau P, Biron S, Lebel S, Marceau S, Hould FS, Simard S, et al. Does bone change after biliopancreatic diversion? J Gastrointest Surg 2002;6:690-8.OpenUrlCrossRefMedlineWeb of Science?Newbury L, Dolan K, Hatzifotis M, Low N, Fielding G. Calcium and vitamin D depletion and elevated parathyroid hormone following biliopancreatic diversion. Obes Surg2003;13:893-5.OpenUrlCrossRefMedlineWeb of Science?Slater GH, Ren CJ, Siegel N, Williams T, Barr D, Wolfe B, et al. Serum fat-soluble vitamin deficiency and abnormal calcium metabolism after malabsorptive bariatric surgery. J Gastrointest Surg2004;8:48-55.OpenUrlCrossRefMedlineWeb of Science?Hamoui N, Kim K, Anthone G, Crookes PF. The significance of elevated levels of parathyroid hormone in patients with morbid obesity before and after bariatric surgery. Arch Surg2003;138:891-7.OpenUrlCrossRefMedlineWeb of Science?Chapin BL, LeMar HJ, Knodel DH, Carter PL. Secondary hyperparathyroidism following biliopancreatic diversion. Arch Surg1996;131:1048-52.OpenUrlCrossRefMedlineWeb of Science?Valderas JP, Velasco S, Solari S, Liberona Y, Viviani P, Maiz A, et al. Increase of bone resorption and the parathyroid hormone in postmenopausal women in the long-term after Roux-en-Y gastric bypass. Obes Surg2009;19:1132-8.OpenUrlCrossRefMedline?Coates PS, Fernstrom JD, Fernstrom MH, Schauer PR, Greenspan SL. Gastric bypass surgery for morbid obesity leads to an increase in bone turnover and a decrease in bone mass. J Clin Endocrinol Metab2004;89:1061-5.OpenUrlFREE Full Text?Von Mach M-A, Stoeckli R, Bilz S, Kraenzlin M, Langer I, Keller U. Changes in bone mineral content after surgical treatment of morbid obesity. Metab Clin Exp2004;53:918-21.OpenUrlCrossRefMedline?Goode LR, Brolin RE, Chowdhury HA, Shapses SA. Bone and gastric bypass surgery: effects of dietary calcium and vitamin D. Obes Res 2004;12:40-7.OpenUrlMedlineWeb of Science?Vilarrasa N, Gómez JM, Elio I, Gómez-Vaquero C, Masdevall C, Pujol J, et al. Evaluation of bone disease in morbidly obese women after gastric bypass and risk factors implicated in bone loss. Obes Surg2009;19:860-6.OpenUrlCrossRefMedline?Gómez JM, Vilarrasa N, Masdevall C, Pujol J, Solano E, Soler J, et al. Regulation of bone mineral density in morbidly obese women: a cross-sectional study in two cohorts before and after bypass surgery. Obes Surg2009;19:345-50.OpenUrlCrossRefMedline?Johnson JM, Maher JW, Samuel I, Heitshusen D, Doherty C, Downs RW. Effects of gastric bypass procedures on bone mineral density, calcium, parathyroid hormone, and vitamin D. J Gastrointest Surg 2005;9:1106-10.OpenUrlCrossRefMedlineWeb of Science?Van Staa TP, Abenhaim L, Cooper C, Zhang B, Leufkens HG. The use of a large pharmacoepidemiological database to study exposure to oral corticosteroids and risk of fractures: validation of study population and results. Pharmacoepidemiol Drug Saf2000;9:359-66.OpenUrlCrossRefMedlineWeb of Science?Herrett E, Thomas SL, Schoonen WM, Smeeth L, Hall AJ. Validation and validity of diagnoses in the General Practice Research Database: a systematic review. Br J Clin Pharmacol2010;69:4-14.OpenUrlCrossRefMedlineWeb of Science?Khan NF, Harrison SE, Rose PW. Validity of diagnostic coding within the General Practice Research Database: a systematic review. Br J Gen Pract2010;60:e128-36.OpenUrlCrossRefMedline?Lewis JD, Brensinger C. Agreement between GPRD smoking data: a survey of general practitioners and a population-based survey. Pharmacoepidemiol Drug Saf2004;13:437-41.OpenUrlCrossRefMedlineWeb of Science?FRAX. WHO Fracture Risk Assessment Tool. 2001. shef.ac.uk. www.shef.ac.uk/FRAX/charts.jsp.?Lalmohamed A, Welsing PMJ, Lems WF, Jacobs JWG, Kanis JA, Johansson H, et al. Calibration of FRAX ® 3.1 to the Dutch population with data on the epidemiology of hip fractures. Osteoporos Int2012;23:861-9.OpenUrlCrossRefMedline?Pouwels S, Lalmohamed A, Leufkens B, de Boer A, Cooper C, van Staa T, et al. Risk of hip/femur fracture after stroke: a population-based case-control study. Stroke2009;40:3281-5.OpenUrlFREE Full Text?Pouwels S, Lalmohamed A, Souverein P, Cooper C, Veldt BJ, Leufkens HG, et al. Use of proton pump inhibitors and risk of hip/femur fracture: a population-based case-control study. Osteoporos Int2011;22:903-10.OpenUrlCrossRefMedline?Pouwels S, Van Staa TP, Egberts ACG, Leufkens HGM, Cooper C, De Vries F. Antipsychotic use and the risk of hip/femur fracture: a population-based case-control study. Osteoporos Int2009;20:1499-506.OpenUrlCrossRefMedline?De Vries F, Pouwels S, Lammers JWJ, Leufkens HGM, Bracke M, Cooper C, et al. Use of inhaled and oral glucocorticoids, severity of inflammatory disease and risk of hip/femur fracture: a population-based case-control study. J Intern Med2007;261:170-7.OpenUrlMedlineWeb of Science?Lalmohamed A, Vestergaard P, Klop C, Grove EL, de Boer A, Leufkens HG, et al. Timing of acute myocardial infarction in patients undergoing total hip or knee replacement: a nationwide cohort study. Arch Intern Med2012, 23 July, doi:10.1001/archinternmed.2012.2713.?De Laet C, Kanis JA, Odén A, Johanson H, Johnell O, Delmas P, et al. Body mass index as a predictor of fracture risk: a meta-analysis. Osteoporos Int2005;16:1330-8.OpenUrlCrossRefMedlineWeb of Science?Nakamura K, Haglind E, Clowes J, Achenbach S, Atkinson E, Melton LJ, et al. ENDO conference abstract: fracture risk after bariatric surgery. ENDO Conference, 2009.?Recker R, Lappe J, Davies K, Heaney R. Characterization of perimenopausal bone loss: a prospective study. J Bone Miner Res2000;15:1965-73.OpenUrlCrossRefMedlineWeb of Science?Viégas M, Vasconcelos RS de, Neves AP, Diniz ET, Bandeira F. Bariatric surgery and bone metabolism: a systematic review. Arq Bras Endocrinol Metabol2010;54:158-63.OpenUrlCrossRefMedline?Leff DR, Heath D. Surgery for obesity in adulthood. BMJ2009;339:b3402.OpenUrlFREE Full Text?Van Loan MD, Johnson HL, Barbieri TF. Effect of weight loss on bone mineral content and bone mineral density in obese women. Am J Clin Nutr 1998;67:734-8.OpenUrlFREE Full Text?Madsen OR, Jensen JE, Sørensen OH. Validation of a dual energy X-ray absorptiometer: measurement of bone mass and soft tissue composition. Eur J Appl Physiol Occup Physiol1997;75:554-8.OpenUrlCrossRefMedlineWeb of Science?Sjöström L, Lindroos A, Peltonen M, Torgerson J, Bouchard C, Carlsson B, et al. Lifestyle, diabetes, and cardiovascular risk factors 10 years after bariatric surgery. 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Medical students’ characteristics as predictors of career practice location: retrospective cohort study tracking graduates of Nepal’s first medical college

Medical students’ characteristics as predictors of career practice location: retrospective cohort study tracking graduates of Nepal’s first medical college | BMJ

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Research Medical students’ characteristics as predictors of career practice location: retrospective cohort study tracking graduates of Nepal’s first medical college BMJ 2012; 345 doi: 10.1136/bmj.e4826 (Published 14 August 2012) Cite this as: BMJ 2012;345:e4826 Undergraduate Epidemiologic studies Article Related content Read responses (2) Article metrics Mark Zimmerman, executive director1, Rabina Shakya, administrative assistant1, Bharat M Pokhrel, professor, head of research committee2, Nir Eyal, assistant professor3, Basista P Rijal, professor, assistant dean2, Ratindra N Shrestha, professor, assistant dean2, Arun Sayami, professor, dean2
1Nick Simons Institute, Box 8975, EPC 1813, Kathmandu, Nepal
2Institute of Medicine, Kathmandu, Nepal
3Harvard Medical School, Boston, MassachusettsCorrespondence to: M Zimmerman markz{at}nsi.edu.npAccepted 6 July 2012AbstractObjective To determine, in one low income country (Nepal), which characteristics of medical students are associated with graduate doctors staying to practise in the country or in its rural areas.

Design Observational cohort study.

Setting Medical college registry, with internet, phone, and personal follow-up of graduates.

Participants 710 graduate doctors from the first 22 classes (1983-2004) of Nepal’s first medical college, the Institute of Medicine.

Main outcome measures Career practice location (foreign or in Nepal; in or outside of the capital city Kathmandu) compared with certain pre-graduation characteristics of medical student.

Results 710 (97.7%) of the 727 graduates were located: 193 (27.2%) were working in Nepal in districts outside the capital city Kathmandu, 261 (36.8%) were working in Kathmandu, and 256 (36.1%) were working in foreign countries. Of 256 working abroad, 188 (73%) were in the United States. Students from later graduating classes were more likely to be working in foreign countries. Those with pre-medical education as paramedics were twice as likely to be working in Nepal and 3.5 times as likely to be in rural Nepal, compared with students with a college science background. Students who were academically in the lower third of their medical school class were twice as likely to be working in rural Nepal as those from the upper third. In a regression analysis adjusting for all variables, paramedical background (odds ratio 4.4, 95% confidence interval 1.7 to 11.6) was independently associated with a doctor remaining in Nepal. Rural birthplace (odds ratio 3.8, 1.3 to 11.5) and older age at matriculation (1.1, 1.0 to 1.2) were each independently associated with a doctor working in rural Nepal.

Conclusions A cluster of medical students’ characteristics, including paramedical background, rural birthplace, and lower academic rank, was associated with a doctor remaining in Nepal and with working outside the capital city of Kathmandu. Policy makers in medical education who are committed to producing doctors for underserved areas of their country could use this evidence to revise their entrance criteria for medical school.

IntroductionDoctors tend to migrate from medically less well served areas to better served areas. This paradoxical flow occurs over a continuum that includes internal migration (often from rural to urban areas) and external migration (from low income to high income countries). Both result in adverse outcomes for patients in the areas of origin.1 2 In recent policy documents, the World Health Organization and others have issued calls to “build the evidence base” on retention of healthcare workers in underserved areas.3 4 5 6

Existing retention studies, mainly from high income countries, report associations of rural upbringing and male sex with career practice in a rural setting.7 8 9 10 International migration studies likewise usually derive their data from destination (high income) countries, and none has compared the rates of emigration with medical students’ characteristics.11 12 13 14 15 16 17

Nepal is an Asian country with a population of 28 million; its mountainous topography and poverty (annual gross domestic product $300 (£193; €245) per capita) pose barriers to adequate healthcare. According to WHO’s statistics, Nepal ranks near the bottom of countries in the region,18 and like many other nations it struggles with inequitable distribution of its health workers.19 In 1978 Nepal’s Institute of Medicine, which was founded with an ethos of serving the country’s remote population, admitted Nepal’s first class of medical students. Initially, the institute selected students from rural Nepal and admitted only those with a paramedical background. In Nepal, two possible pre-medical tracks exist: “paramedical” education involves three years of training after high school and leads to clinical practice; “intermediate science” involves two years of purely classroom education with no medical exposure. Although it remained Nepal’s sole medical college for 13 years (and was still the country’s premier medical college at the time of this study), the Institute of Medicine gradually shifted away from its original selection system, eventually taking only intermediate science students on the basis of their entrance examination scores.

Certain characteristics of medical students—sex, age at matriculation, rural upbringing, type of pre-medical education, and academic rank—may be associated with doctors choosing to practise in Nepal rather than abroad or in Nepal’s rural areas rather than in the capital city of Kathmandu. To test this hypothesis, we tracked the graduate doctors of the first 22 classes (1983-2004) of the Institute of Medicine to determine their eventual locations of practice. If associations between medical students’ characteristics and career practice location are validated, they could be used to construct admission criteria for medical schools that favour subsequent practice in less well served areas.

MethodsSelection of medical student related factorsTo determine which characteristics of medical student predicted location of practice in underserved areas, we analysed seven factors. We chose to study place of birth, place of high school, and sex to test the conclusions of previous studies done in high income countries. We also included type of pre-medical education because of the undocumented observation in Nepal that more doctors from a paramedical background seemed to stay in Nepal. We included year of graduation in the analysis to account for historical trends. Finally, we included final academic score and age at matriculation because these were potential confounders.

Data collectionWe did this study in partnership with the Nepal Institute of Medicine’s Dean’s Office, Research Department, and Examination Control Division. We collected data continuously from August 2008 to July 2010 (24 months) in three phases: a review of records at the Institute of Medicine, a written questionnaire from graduates, and reporting by classmates. The study depended on extensive cooperation from the Institute of Medicine and its network of alumni.

We chose to collect data covering the institute’s first to 22nd graduating classes (1983 to 2004), thereby leaving a minimum of four years of post-graduation follow-up. This was to allow for “settling” in a doctor’s practice location. We derived data from three sources.

Institute of Medicine recordsThe Examination Control Division provided complete lists of the first 22 entering classes of its Bachelor of Medicine Bachelor of Surgery (MBBS) student doctors. Data included class number and graduation year, name, sex, type of pre-medical education, and final examination score.

Questionnaire from graduatesWe developed a standardised three page questionnaire and uploaded it for online response. We recruited respondents through newspaper advertisements, the NepalNews internet site, social networks, and personal contacts. If no response came through internet or email, we used phone interviews to complete questionnaires. Questionnaire data included each doctor’s class number, birthplace, place of high school, and pre-medical training (paramedical or intermediate science); spouse’s birthplace; postgraduate work history, current practice location, and postgraduate degrees; perceived personal factors influencing career practice location; and contact information for classmates.

Because after one year we had received filled questionnaires from just over half of all graduates, we added a “mop-up” phase. This final phase, which simultaneously collected questionnaires and took classmates’ reports, required an additional 12 months to complete.

Classmates’ reportsFor those doctors who did not complete questionnaires, we used multiple methods to collect “proxy” information from fellow graduates. All questionnaire respondents received a list of non-responders from their class and from the four nearest classes. We also re-contacted questionnaire respondents by phone to ask about classmates. In each class, we interviewed multiple graduates to provide cross validation. Data in this phase included only current practice location.

ParticipantsThe first 22 classes of Nepal’s Institute of Medicine had 727 graduates. Of this total, we obtained filled data questionnaires from 436 (60.0%), classmates’ reports on an additional 286 (39.3%), and no information on 5 (0.7 %) (fig1?). Twelve were reported to have died.

View larger version:In a new windowDownload as PowerPoint SlideFig 1 Study participants

Our data contained two subsets. For the 60% (n=436) of graduates who completed questionnaires, we had information on their career location as well as all seven medical student related factors. For the 38% (n=274) of graduates whose career location came from classmates’ reports, we had data for only four of the seven factors (sex, type of pre-medical education, year of graduation, and final examination score). Table 1? shows the compilation of both data subsets, including the characteristics of all 710 graduates. The regression analyses include only those graduates for whom we had data on all seven factors (the “filled questionnaire” subset). We did case-wise deletion for all analyses and made no attempt to impute missing data. All numbers in tables reflect the number of observations with complete data available for analysis.

View this table:View PopupView InlineTable 1 Characteristics of Institute of Medicine graduates. Values are numbers (row percentages) of doctors in each practice location

Data analysisTo explore the relation between medical students’ characteristics and doctors’ current location of practice, we did two separate logistic regressions. The first compared doctors who remained in Nepal with those who practised in foreign countries (reference group). The second compared doctors who practised in Nepal’s rural districts with those who practised in Kathmandu (reference group). We report odds ratios for the likelihood of remaining in Nepal and for working in the rural districts for both unadjusted and adjusted models. Fully adjusted models include all the variables in table 1?. Because of the small sample size, we excluded respondents whose birthplace or place of high school graduation was outside of Nepal (foreign). We modelled academic class rank as a continuous variable standardised within the graduating class. We also modelled age at matriculation as a continuous variable. We used SAS 9.2 for all analyses.

ResultsPractice locationOf 710 living graduates, we found that 193 (27.2%) worked in districts of Nepal outside of Kathmandu, 261 (36.8%) in Kathmandu, and 256 (36.1%) outside of Nepal. Of the 256 graduates working outside Nepal, we received reports on the specific country for all of them: 188 (73%) doctors were working in the United States, 20 (8%) in the United Kingdom, 8 (3%) in Australia, 8 (3%) in South Africa, and 32 (13%) in other countries (table 2?).

View this table:View PopupView InlineTable 2 Foreign country practice location

Figure 2? shows the proportion of doctors located in different countries by their era of graduating class. The number of Institute of Medicine graduates going to the United States increased over the period that this study covered, while decreasing numbers went to the UK and to other countries. We noted some “clustering” of graduates within an era: for example, a group of graduates in the early classes went to South Africa, and in later years a group went to China.

View larger version:In a new windowDownload as PowerPoint SlideFig 2 Country location by graduation era

Of the 436 graduates who filled in questionnaires, 332 (76%) were in Nepal; of the 274 whose location data came by classmates’ reports, 122 (44%) were in Nepal. That is, full questionnaire data was more readily available for those doctors whom we could contact directly inside the country. Although these two data subsets (filled questionnaire and classmate reported) thus differed in terms of practice location, for the four characteristics of medical students available for all graduates, the odds ratios for the two subsets were similar.

Factors associated with practice locationOver the span of 22 classes, doctors graduating in later years were more likely to practise in foreign countries (53% of era 3 students versus 14% of era 1 students) and less likely to practise in rural Nepal (7% v 38%) (table 1?). Male students made up 88.3% of all graduates. Compared with their female classmates, men were twice as likely to remain in Nepal and to work in rural areas.

For the first five classes (era 1), the institute admitted only students with a paramedical background; from the sixth class onwards, intermediate science students were admitted. Compared with those with science background, students with a paramedical background were twice as likely to remain in Nepal and 3.5 times as likely to practise in rural Nepal.

To graduate, students at the institute had to pass an academic examination (written and oral), and this final examination score determined their rank in the class. Compared with students ranked in the top third of their class, those who ranked in the lower third of their classes were twice as likely to remain in rural areas of the country.

Data on birthplace, place of high school, and age at matriculation were available only for the subset of doctors who completed questionnaires. Students with rural birthplace and graduation from rural high school were three to four times as likely to work in rural Nepal, compared with students raised in Kathmandu.

For a contemporaneous comparison between students with paramedical and intermediate science backgrounds, we analysed the subset of graduates from the era 1988 to 2002—the period of mixed intake of the two pre-medical streams. For this period, those with a paramedical background were twice as likely to eventually work in Nepal (79% v 42%) and three times as likely to be in rural Nepal (42% v 13%) compared with those with a science background.

Table 3? gives the odds ratio for doctors remaining in Nepal (versus emigrating to work in a foreign country) for each of the seven medical student related factors. Of 351 graduates included in this analysis, 71 (20%) were working in foreign countries. The unadjusted odds ratios for the subset of doctors who provided complete data were similar to the crude ratios for the four common factors (graduation era, sex, pre-medical education, and final examination score) shown in table 1? (the whole cohort of graduates).

View this table:View PopupView InlineTable 3 Odds ratio of remaining in Nepal (versus working in foreign countries) (n=351)

When adjusted for each of the other characteristics of medical students, the only factor found to have a significant independent association with retention in Nepal was paramedical background. After adjustment, the odds ratio for paramedical background (versus intermediate science) was 4.4 (95% confidence interval 1.7 to 11.6).

Among those doctors who stayed in Nepal, table 4? gives the odds ratio for working in rural areas (versus in Kathmandu). Without adjustment, all of the factors except sex were associated with working in rural Nepal. The unadjusted odds ratios were again similar to the crude ratios for these same factors in table 1? (the total sample). When adjusted for each of the other characteristics, the two factors found to have a significant independent association with rural retention were rural birthplace (odds ratio 3.8, 1.3 to 11.5) and older age at matriculation (1.1, 1.0 to 1.2).

View this table:View PopupView InlineTable 4 Odds ratio of working in rural Nepal (versus Kathmandu) (n=280)

DiscussionWe tracked graduates of Nepal’s first medical college, the Institute of Medicine, to their current locations of practice. Diverse modes of communication applied over a two year period, a tight knit alumni network, and the cooperation of the college authorities enabled us to locate 98% of the doctors 4-26 years after their graduation. They were approximately distributed in thirds: located in Nepal’s rural districts, in the capital Kathmandu, or in foreign countries. The institute’s changing admission policy over the decades provided an internal comparison to study the effects of different intake criteria for medical students on the eventual practice location of graduates. We found an association between rural birthplace, paramedical pre-medical education, lower academic rank, male sex, and older age at matriculation and eventually working in a relatively underserved area.

The WHO’s and other recent reviews on international and internal migration of health workers highlight the paucity of evidence, particularly for low income countries and with regard to potential interventions.3 4 5 6 20 Most studies on international migration use databases from destination (high income) countries rather than indexing from source countries.11 12 14 Dovlo studied Ghanaian medical students and found that 9.5 years after graduation, 75% had left their home country.13 Two South African studies located doctors by their postal addresses, and one found that rural service was associated with rural birthplace.9 21 Others mentioned successful retention among graduates of certain medical colleges in low income countries, but evidence was not presented.22 23 24

Across the Institute of Medicine’s first 22 classes (1983-2004), graduates from later years were more likely to work abroad or, if they stayed in Nepal, to work in Kathmandu. It is tempting to relate their foreign migration to the increased availability of postgraduate training posts in the United States or to Nepal’s civil war (1996-2006). However, in our study, location of practice was not independently associated with a student’s era of graduation but was linked to several other factors.

High income countries have documented the association of rural upbringing with doctors’ eventual rural practice, although in those cohorts selection of students on the basis of rural background was usually part of a mixed intervention that included scholarships and career practice incentives.7 8 25 26 A review study found that male sex was also associated with rural practice of doctors.27

In Nepal, we collected data on factors that could be evaluated at the time of medical school attendance: age at matriculation, sex, places of birth and high school, type of pre-medical education, and final academic score/class rank. The data on rural background and matriculation age were available only for the 60% of the graduates who completed questionnaires; data on the other four factors were available for 98% of the institute’s graduates.

Our study validated the independent association of rural birthplace with the eventual rural practice of the doctor. Compared with other studies, in Nepal this association was not complicated by overlaid incentives for rural practice: few such programmes existed in the country over the previous decades. Students who have spent all or part of their childhood in a rural setting may feel more at home in a remote medical practice. Selecting students with this background does not guarantee eventual rural practice, but it seems to increase the likelihood.

The Institute of Medicine began by admitting only students with a paramedical background (usually health assistants) whose pre-medical training and work experience were in clinical medicine; it later also admitted pre-medical science students. We found a significant, independent association between students from a paramedical background and doctors remaining to work in Nepal. In other words, the alternative pre-medical track of intermediate science made it more likely that an admitted student would eventually establish a practice abroad. This association was independent of historical era and persisted for the years (1988-2002) when students from both types of background were admitted into the same classes.

Paramedical students’ previous experience of working in rural healthcare institutions may have encouraged them to choose to work (and stay) in underserved areas after they became doctors. Vietnam and China have medical school programmes that enable paramedical intake.3 Although Nepal’s Institute of Medicine did not use any “catch-up” academic programmes, others have reported successful bridging programmes that bring students from alternative pathways up to an acceptable academic standard.24 28

WHO categorised interventions to redress inequitable distribution of doctors into four areas: education, regulation, financial incentives, and personal support.3 Our study focused on factors that could be targeted at the time of selection for medical school (the education phase).

Although each of the six medical student related factors in our study—along with earlier era of graduation—was associated with practice either in Nepal or in its rural areas, the multivariable analyses showed that these were mostly clustered, rather than isolated, factors. For example, a common profile of a paramedical student included rural upbringing, later entry into medical school, and lower academic rank. One could interpret this as being a student with broader practical experience but not necessarily the highest academic prowess or ability to take tests. The experience of the Institute of Medicine would argue that this did not promote mediocrity in medical practice: rather, over the decades, both the institute’s paramedical graduates and its science graduates have a solid track record in a wide range of practice settings.29 Furthermore, we found that higher academic rank in the class was not independently associated with foreign migration but was clustered with other factors. Selection for medical school based less on entrance examination scores and more on non-academic factors could produce a graduating class of doctors more likely to serve the wider, local population, without forfeiting professional excellence.

LimitationsOur study has several limitations. Firstly, for our regression analyses, we used the data from the 60% of graduates who provided full information on questionnaires. Because that group was somewhat more likely to be in Nepal at the time of our study, they may not fully represent the whole population of graduates. Nevertheless, for the students’ characteristics that we measured, the crude ratios of the full cohort were very similar to the odds ratios of the questionnaire subset.

Secondly, as a measure of academic ability, we had access to final academic examination scores. Entrance examination scores would have been more relevant to selection criteria for medical school.

Thirdly, we placed doctors into three categories of location of practice: Nepal districts, Kathmandu, and foreign. Because Nepal has other cities, the first category is not purely “rural.” However, a distinct drop-off in medical service and living conditions occurs on leaving the city of Kathmandu.

Finally, we located doctors only at one point in time. This left open the possibility that doctors were still in transit when we located them or that they had worked in several sectors over their career. We tried to minimise this source of error by leaving a minimum of four years’ lead time from graduation to our study contact time. Our experience is that most Nepalese doctors do not move to and from overseas locations after a period of settling.

Application of findingsThe findings of our retrospective study in one low income country in Asia need to be validated in others settings, perhaps through interventions in selection for medical school. Policy makers in medical education who are committed to producing doctors for underserved populations could consider adjusting their selection of students. An intake process that gives higher emphasis to rural birthplace, rural high school, and paramedical education—while using an academic minimum cut-off criterion, rather than entrance scores—may result in more of the graduating class “staying home.”

What is already known on this topicMigration of doctors from low income to high income countries and from rural to urban areas is extensive

In high income countries, doctors with rural backgrounds are more likely to work in rural locations of their own countries

What this study addsFor Nepalese graduate doctors, an association existed between rural birthplace, paramedical pre-medical education, lower academic rank, male sex, and older age at matriculation and eventually working in a relatively underserved area

Policy makers in medical education who are committed to producing doctors for underserved areas of their country could use this evidence to revise entrance criteria for medical school

NotesCite this as: BMJ 2012;345:e4826

FootnotesWe acknowledge the contributions of Robert Gerzoff, who did the statistical analysis of the data. We also acknowledge Dikshya Adhikari for recruitment of participants and Arjun Karki for the conceptual challenge.

Contributors: MZ and BMP were involved in the conception and design of the study; data collection, analysis, and interpretation; and writing the paper. RS was involved in study conception and design and in data collection, analysis, and interpretation. NE was involved in study design, data analysis and interpretation, and writing the paper. BPR and RNS were involved in study conception and in data collection and interpretation. AS was involved in study conception and design and in data interpretation. MZ is the guarantor.

Funding: Funding came entirely from the Nick Simons Institute, a charitable organisation that works to train and support healthcare workers for rural Nepal (www.ndi.edu.np). Neither the Nick Simons Institute nor the authors stands to receive material gain from the publication of this study. The Nick Simons Institute carried out this study as part of its mission to train and support healthcare workers for rural Nepal. It will use the study results to lobby for changes in medical education policy, in Nepal and internationally.

Competing interests: All authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: the submitted work was supported by the Nick Simons Institute; BMP, BPR, RNS, and AS are all on the faculty of the Institute of Medicine; AS is the Dean; no other relationships or activities that could appear to have influenced the submitted work.

Ethical approval: The Institute of Medicine (Nepal) Research Committee, which functions as that institution’s ethics review board, approved this study in July 2008. The Research Committee also approved the “mop-up phase” and use of data from non-responding doctors.

Data sharing: The spreadsheet containing the data for this study can be downloaded from ftp://nsi.edu.np (user name: iom_data@nsi.edu.np; password: admin123).

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

References?Joint Learning Initiative. Human resources for health: overcoming the crisis. Harvard College, 2004 (available at www.healthgap.org/camp/hcw_docs/JLi_Human_Resources_for_Health.pdf).?Speybroeck N, Kinfu Y, Dal Poz MR, Evans DB. Reassessing the relationship between human resources for health, intervention coverage and health outcomes. World Health Organization, 2006 (available at www.who.int/hrh/documents/reassessing_relationship.pdf).?World Health Organization. Increasing access to health workers in remote and rural areas through improved retention: global policy recommendations. WHO, 2010 (available at http://whqlibdoc.who.int/publications/2010/9789241564014_eng.pdf).?World Health Organization. Global code of practice on the international recruitment of health personnel. (Sixty Third World Health Assembly WHA63.16 Agenda item 11.5 21 May 2010.) WHO, 2010 (available at http://apps.who.int/gb/ebwha/pdf_files/WHA63/A63_R16-en.pdf).?Grobler L, Marais BJ, Mabunda S, Marindi P, Reuter H, Volmink J. Interventions for increasing the proportion of health professionals practicing in rural and other underserved areas. Cochrane Database Syst Rev2009;(1):CD005314.?Wilson NW, Couper ID, De Vries E, Reid S, Fish T, Marais BJ. A critical review of interventions to redress the inequitable distribution of healthcare professionals to rural and remote areas. Rural Remote Health2009;9:1060.OpenUrlMedline?Rabinowitz HK, Diamond JJ, Markham FW, Rabinowitz C. Long-term retention of graduates from a program to increase the supply of rural family physicians. Acad Med2005;80:728-32.OpenUrlCrossRefMedlineWeb of Science?Matsumoto M, Inoue K, Kajii E. Long-term effect of the home prefecture recruiting scheme of Jichi Medical University, Japan. Rural Remote Health2008;8:930.OpenUrlMedline?De Vries E, Reid S. Do South African medical students of rural origin return to rural practice? S Afr Med J2003;93:789-93.OpenUrlMedline?Woloschuk W, Tarrant M. Do students from rural backgrounds engage in rural family practice more than their urban-raised peers? Med Educ2004;38:259-61.OpenUrlCrossRefMedline?Mullan F. The metrics of the physician brain drain. N Engl J Med2005;353:1810-8.OpenUrlCrossRefMedlineWeb of Science?Hagopian A, Thompson MJ, Fordyce M, Johnson KE, Hart LG. The migration of physicians from sub-Saharan Africa to the United States of America: measures of the African brain drain. Hum Resour Health2004;2:17.OpenUrlCrossRefMedline?Dovlo D, Nyonator F. Migration by graduates of the University of Ghana Medical School: a preliminary rapid appraisal. Human Resources for Health Development Journal1999;3(1):40.OpenUrl?Clemens MA, Pettersson G. New data on African health professionals abroad. Hum Res Health2008;6:1.OpenUrlCrossRef?Awofeso N. Improving health workforce recruitment and retention in rural and remote regions of Nigeria. Rural Remote Health2010;10:1319.OpenUrlMedline?Akl EA, Maroun N, Major S, Chahoud B, Schunemann HJ. Graduates of Lebanese medical schools in the United States: an observational study of international migration of physicians. BMC Health Serv Res2007;7:49.OpenUrlCrossRefMedline?Adkoli BV. Migration of health workers: perspectives from Bangladesh, India, Nepal, Pakistan, and Sri Lanka. Reg Health Forum2006;10:49-58.OpenUrl?World Health Organization. World health statistics 2011. www.who.int/gho/publications/world_health_statistics/2011/en/index.html.?Nepal Ministry of Health and Population. Nepal Health Sector Programme—implementation plan II, 2010-15. Government of Nepal, 2010.?Dieleman M, Kane S, Zwanikken P, Gerretsen B. Realist review and synthesis of retention studies for health workers in rural and remote areas. WHO, 2011 (available at http://whqlibdoc.who.int/publications/2011/9789241501262_eng.pdf).?Igumbor EU, Kwizera EN. The positive impact of rural medical schools on rural intern choices. Rural Remote Health2005;5:417.OpenUrlMedline?Christobal F, Worley P. Can medical education in poor rural areas be cost-effective and sustainable: the case of the Ateneo de Zamboanga University School of Medicine. Rural Remote Health2012;12:1835.OpenUrlMedline?Huish R. Going where no doctor has gone before: the role of Cuba’s Latin American School of Medicine in meeting the needs of some of the world’s most vulnerable populations. Public Health2008;122:552-7.OpenUrlCrossRefMedlineWeb of Science?Iputo JE. Faculty of Health Sciences, Walter Sisulu University: training doctors from and for rural South African communities. MEDICC Review Fall2008;10(4):25.OpenUrlWeb of Science?Eley D, Baker P. Does recruitment lead to retention? Rural clinical school training experiences and subsequent intern choices. Rural Remote Health2006;6:511.OpenUrlMedline?Walker JH, Dewitt DE, Pallant JF, Cunningham CE. Rural origin plus a rural clinical school placement is a significant predictor of medical students’ intentions to practice rurally: a multi-university study. Rural Remote Health2012;12:1908.OpenUrlMedline?Laven G, Wilkinson D. Rural doctors and rural backgrounds: how strong is the evidence? A systematic review. Aust J Rural Health2003;11:277-284.OpenUrlCrossRefMedline?Polasek O, Kolcic I. Academic performance and scientific involvement of final year medical students coming from urban and rural backgrounds. Rural Remote Health2006;6:530.OpenUrlMedline?Dixit H. Nepal’s quest for health. Educational Publishing House, 2005. 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