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Record W2798139691 · doi:10.1186/s12913-018-3059-0

Retention of medical doctors at the district level: a qualitative study of experiences from Tanzania

2018· article· en· W2798139691 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBMC Health Services Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
FundersAfrican Population and Health Research CenterInternational Development Research CentreStyrelsen för Internationellt Utvecklingssamarbete
KeywordsTanzaniaIncentiveQualitative researchMedicineFocus groupHealth administrationNursing researchHealth facilityCommunity healthPublic healthHealth carePopulationNursingSocioeconomicsEnvironmental healthEconomic growthBusinessMarketingHealth servicesSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Retention of Human Resources for Health (HRH), particularly doctors at district level is a big challenge facing the decentralized health systems in poorly resourced countries. Tanzania, with 75% of its population in rural areas, has only 26% of doctors serving in rural areas. We aimed to analyze the experiences regarding the retention of doctors at district level in Tanzania from doctors' and district health managers' perspectives. METHODS: A qualitative study was carried out in three districts from June to September 2013. We reviewed selected HRH documents and then conducted 15 key informant interviews with members of the District Health Management teams and medical doctors working at the district hospitals. In addition, we conducted three focus group discussions with Council Health Management Team members in the three districts. Incentive package plans, HRH establishment, and health sector development plans from the three districts were reviewed. Data analysis was performed using qualitative content analysis. RESULTS: None of the districts in this study has the number of doctors recommended. Retention of doctors in the districts faced the following challenges: unfavourable working conditions including poor working environment, lack of assurance of career progression, and a non-uniform financial incentive system across districts; unsupportive environment in the community, characterized by: difficulty in securing houses for rent, lack of opportunities to earn extra income, lack of appreciation from the community and poor social services. Health managers across districts endeavour to retain their doctors through different retention strategies, including: career development plans, minimum financial incentive packages and avenues for private practices in the district hospitals. However, managers face constrained financial resources, with many competing priorities at district level. CONCLUSIONS: Retention of doctors at district level faces numerous challenges. Assurance of career growth, provision of uniform minimum financial incentives and ensuring availability of good social services and economic opportunities within the community are among important retention strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.294
GPT teacher head0.616
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it