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Record W4400567944 · doi:10.1108/samamj-05-2024-0012

Brain drain incidence and health-care infrastructural deficit challenges: the role of capacity development among “JAPA” physicians in Nigeria

2024· article· en· W4400567944 on OpenAlexaboutno aff
Olusegun Emmanuel Akinwale, Owolabi Lateef Kuye, Olusoji James George

Bibliographic record

VenueSAM Advanced Management Journal · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsBrain drainIncidence (geometry)Neurological deficitBusinessEnvironmental healthMedicineDevelopment economicsEconomicsSurgery

Abstract

fetched live from OpenAlex

Purpose The brain drain challenge has become a cankerworm confronting not only the public health-care sector in Nigeria but almost all sectors of the national economy. This study aims to explore the push factors responsible for brain drain incidence among the migrated, JAPA, physicians to other global work environments. The study investigates the mediating role of capacity development among migrated, JAPA, physicians between the health-care infrastructural deficit and brain drain syndrome. Design/methodology/approach This study used a survey cross-sectional research design to examine the 214 migrated physicians in four notable perceived countries (UK, USA, Canada and Australia). The study used a probability sampling strategy to survey a self-administered online research instrument. The study adapted a battery of scales from several authors to measure the relevant constructs of this study. Hierarchical multiple regression was used to examine factors that provoke the incidence of brain drain burden among the JAPA Physicians. While Macro Hayes Process was used to investigate the mediating role of capacity development among migrated physicians. Findings The study revealed from the “JAPA” physicians that working conditions are turbulent and utterly poor which led to the incidence of brain drain. The study indicated that poor remuneration and benefits are the predominant reason for JAPA physicians to European countries and USA/UK. The findings of the study demonstrated that restricted opportunities and poor standard of living in the country were additional factors responsible for the brain drain of Nigerian physicians to other international countries. The outcome of the study also illustrated that inadequate infrastructure and facilities are the dominant variables that pushed physicians to foreign nations. It was revealed that there is a toxic mix of several issues that led to a brain drain albatross among the migrated physicians from Nigeria. The last part of the study indicated that physicians’ capacity development was a game changer that would discourage brain drain incidence and establish motivation for working in Nigeria's public health-care sector. Originality/value The study has given a direction for providing succinct solutions to the cankerworm of brain drain that has depleted the Nigerian public health-care industry. It has proffered a possible trajectory that will reverse the JAPA syndrome among the professional health-care workforce. This will not only benefit the public health-care personnel but also be significant for all the human capital across all the sectors of the national economy of Nigeria.

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.

How this classification was reachedexpand

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.249
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2024
Admission routes1
Has abstractyes

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