MétaCan
Menu
Back to cohort
Record W3046484365 · doi:10.22605/rrh5772

Factors explaining the shortage and poor retention of qualified health workers in rural and remote areas of the Kayes, region of Mali: a qualitative study

2020· article· en· W3046484365 on OpenAlex
Mohamed Ali Ag Ahmed, Soumaà ̄la Diakité, Koman Sissoko, Marie Pierre Gagnon, Sylvie Charron

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRural and Remote Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversité LavalPublic Health OntarioUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsEconomic shortageRural areaSocioeconomicsQualitative researchGeographyRural healthEnvironmental healthMedicineSociologySocial science

Abstract

fetched live from OpenAlex

INTRODUCTION: Shortage of health workers is a worldwide problem but is particularly critical in sub-Saharan Africa. In Mali, the number of health workers is insufficient and their retention is low, particularly in rural and remote areas. Rural postings are unattractive to health workers. Very few studies have examined the factors contributing to the shortage and poor retention of health workers in Mali. The objective of this study is to identify and understand these factors with regards to skilled health workers in two rural health districts (Yélimané and Bafoulabé) in the region of Kayes, Mali. METHODS: This qualitative study is based on the conceptual framework of Lehman, Dieleman and Martineau. Data were collected through 46 in-depth interviews with health workers and decision-makers. A thematic content analysis was conducted with the support of QDA Miner software. RESULTS: The study identified factors contributing to the insufficient allocation and poor retention of rural health workers in these districts. They are individual-level factors (gender, family situation, age), unattractive living and working conditions, community recognition and participation, quality of leadership, an unfavourable recruitment/assignment process and insufficient financial incentives. It shows that female staff have specific constraints that prevent them from deploying to or staying in rural areas for long periods. In addition, the number of staff recruited at the national level is unpredictable and insufficient, while their recruitment and assignment process is perceived to be inequitable and not very transparent, disadvantaging rural health structures. Some strategies were identified to improve the availability and retention of health workers in these areas. They take into account certain social norms, notably gender roles, and include the improvement of living and working conditions, as well as the strengthening of health workforce management. CONCLUSION: This study's findings highlight the multifaceted nature of factors contributing to the availability and retention of health workers in rural and remote areas of sub-Saharan Africa and the challenges associated with them. This study identifies some strategies that can be combined to facilitate the retention and availability of health workers in these areas. Some strategies involve actors outside the health sector, requiring joint efforts for their implementation. This research provides decision-makers with evidence to support informed decision making with regards to the retention of health workers in rural areas.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.132
GPT teacher head0.444
Teacher spread0.312 · 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