Dataset Information

Wrong schools or wrong students? The potential role of medical education in regional imbalances of the health workforce in the United Republic of Tanzania.

ABSTRACT:

Background

The United Republic of Tanzania, like many other countries in sub-Saharan Africa, faces a human resources crisis in its health sector, with a small and inequitably distributed health workforce. Rural areas and other poor regions are characterised by a high burden of disease compared to other regions of the country. At the same time, these areas are poorly supplied with human resources compared to urban areas, a reflection of the situation in the whole of Sub-Saharan Africa, where 1.3% of the world's health workforce shoulders 25% of the world's burden of disease. Medical schools select candidates for training and form these candidates' professional morale. It is therefore likely that medical schools can play an important role in the problem of geographical imbalance of doctors in the United Republic of Tanzania.

Methods

This paper reviews available research evidence that links medical students' characteristics with human resource imbalances and the contribution of medical schools in perpetuating an inequitable distribution of the health workforce.Existing literature on the determinants of the geographical imbalance of clinicians, with a special focus on the role of medical schools, is reviewed. In addition, structured questionnaires collecting data on demographics, rural experience, working preferences and motivational aspects were administered to 130 fifth-year medical students at the medical faculties of MUCHS (University of Dar es Salaam), HKMU (Dar es Salaam) and KCMC (Tumaini University, Moshi campus) in the United Republic of Tanzania. The 130 students represented 95.6% of the Tanzanian finalists in 2005. Finally, we apply probit regressions in STATA to analyse the cross-sectional data coming from the aforementioned survey.

Results

The lack of a primary interest in medicine among medical school entrants, biases in recruitment, the absence of rural related clinical curricula in medical schools, and a preference for specialisation not available in rural areas are among the main obstacles for building a motivated health workforce which can help correct the inequitable distribution of doctors in the United Republic of Tanzania.

Conclusion

This study suggests that there is a need to re-examine medical school admission policies and practices.

SUBMITTER: Leon BK

PROVIDER: S-EPMC2837610 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature

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Publications

Wrong schools or wrong students? The potential role of medical education in regional imbalances of the health workforce in the United Republic of Tanzania.

Leon Beatus K BK Riise Kolstad Julie J

Human resources for health 20100226

<h4>Background</h4>The United Republic of Tanzania, like many other countries in sub-Saharan Africa, faces a human resources crisis in its health sector, with a small and inequitably distributed health workforce. Rural areas and other poor regions are characterised by a high burden of disease compared to other regions of the country. At the same time, these areas are poorly supplied with human resources compared to urban areas, a reflection of the situation in the whole of Sub-Saharan Africa, wh ...[more]

PMID: 20187942

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Project description:BackgroundA nationwide, school, malaria survey was implemented to assess the risk factors of malaria prevalence and bed net use among primary school children in mainland Tanzania. This allowed the mapping of malaria prevalence at council level and assessment of malaria risk factors among school children.MethodsA cross-sectional, school, malaria parasitaemia survey was conducted in 25 regions, 166 councils and 357 schools in three phases: (1) August to September 2014; (2) May 2015; and, (3) October 2015. Children were tested for malaria parasites using rapid diagnostic tests and were interviewed about household information, parents' education, bed net indicators as well as recent history of fever. Multilevel mixed effects logistic regression models were fitted to estimate odds ratios of risk factors for malaria infection and for bed net use while adjusting for school effect.ResultsIn total, 49,113 children were interviewed and tested for malaria infection. The overall prevalence of malaria was 21.6%, ranging from <?0.1 to 53% among regions and from 0 to 76.4% among councils. The malaria prevalence was below 5% in 62 of the 166 councils and above 50% in 18 councils and between 5 and 50% in the other councils. The variation of malaria prevalence between schools was greatest in regions with a high mean prevalence, while the variation was marked by a few outlying schools in regions with a low mean prevalence. Overall, 70% of the children reported using mosquito nets, with the highest percentage observed among educated parents (80.7%), low land areas (82.7%) and those living in urban areas (82.2%).ConclusionsThe observed prevalence among school children showed marked variation at regional and sub-regional levels across the country. Findings of this survey are useful for updating the malaria epidemiological profile and for stratification of malaria transmission by region, council and age groups, which is essential for guiding resource allocation, evaluation and prioritization of malaria interventions.

Project description:Objectives There is a paucity of data on pathway programs that seek to increase underrepresented in medicine (URiM) students in medicine. Therefore, this investigation aimed to describe the status and associations of pathway programs at US medical schools. Methods From May to July 2021, the authors obtained information by (1) accessing pathway programs listed on the Association of American Medical Colleges (AAMC) website, (2) reviewing websites of US medical schools, (3) calling medical schools to obtain further information. The data retrieved from the medical school websites was compiled into a 27-item checklist based on the maximum number of different items that was extracted from any of the medical school websites. The data included program characteristics, curricula, activities, and outcomes. Each program was assessed on the number of categories of which information was available. Statistical analyses determined significant associations of URiM-focused pathways and other factors. Results The authors identified 658 pathway programs: 153 (23%) listed on AAMC website and 505 (77%) identified from medical school websites. Only 88 (13%) programs listed outcomes and 143 (22%) had adequate website information. URiM-focused programs (48%) were independently associated with AAMC website listing (adjusted odds ratio [aOR] = 2.62, P = .001), no fees requirement (aOR = 3.33, P = .001), oversight by diversity departments (aOR = 2.05, P = .012), Medical College Admission Test preparations (aOR = 2.70, P = .001), research opportunities (aOR = 1.51, P = .022), and mentoring (aOR = 2.58., P < .001). Programs targeting K1-12 were less likely to offer mentoring, shadowing or research or include URiM students. Programs with outcomes were more likely to be college programs with longer durations and offer research, while programs listed on AAMC website provided more resources. Conclusion Although pathway programs are available for URiM students, accessibility issues due to inadequate websites information and early exposure are barriers. Most programs have insufficient data on their website, including a lack of outcome data which is detrimental in today's virtual climate. Medical schools should update their websites to ensure that students requiring support to matriculate into medical school have adequate and relevant information to make informed decisions regarding participation.

Dataset Information

Wrong schools or wrong students? The potential role of medical education in regional imbalances of the health workforce in the United Republic of Tanzania.

Background

Methods

Results

Conclusion

Publications

Wrong schools or wrong students? The potential role of medical education in regional imbalances of the health workforce in the United Republic of Tanzania.

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