Evidence map›Paper›PMID 28589031›Full record

ArticleBMJ global health2017

Governing the mixed health workforce: learning from Asian experiences.

Kabir Sheikh, Lakshmi K Josyula, Xiulan Zhang, Maryam Bigdeli, Syed Masud Ahmed

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.7field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. Regulatory and HTA framework for herbal medicines in Indonesia.Journal of pharmaceutical policy and practice · 2026
    Review
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  6. Equitable mosaic: the ideal for medical pluralism.Philosophy, ethics, and humanities in medicine : PEHM · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 4 countries.

Kabir SheikhPublic Health Foundation of India, New Delhi, India.
Lakshmi K JosyulaPrevious affiliation: Indian Institute of Public Health, Hyderabad, Public Health Foundation of India; Present affiliation: The George Institute for Global Health, Hyderabad, India.ORCID 0000-0002-9141-7324
Xiulan ZhangChina Institute of Health, School of Social Development and Public Policy, Beijing Normal University, Beijing, China.
Maryam BigdeliPast: Alliance for Health Policy and Systems Research, WHO; Present: Department of Health Systems Governance, Policy and Aid Effectiveness, World Health Organization (WHO), Geneva, Switzerland.
Syed Masud AhmedCentre of Excellence for UHC, James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Beijing Normal University · CNBRAC University · BDInstitute of Public Health Bengaluru · INPublic Health Foundation of India · INWorld Health Organization · CH

Funding

Wellcome TrustWorld Health Organization 001
6 · The paper itself

Abstract

Examination of the composition of the health workforce in many low and middle-income countries (LMICs) reveals deep-seated heterogeneity that manifests in multiple ways: varying levels of official legitimacy and informality of practice; wide gradation in type of employment and behaviour (public to private) and diverse, sometimes overlapping, systems of knowledge and variably specialised cadres of providers. Coordinating this mixed workforce necessitates an approach to governance that is responsive to the opportunities and challenges presented by this diversity. This article discusses some of these opportunities and challenges for LMICs in general, and illustrates them through three case studies from different Asian country settings.

Identifiers

PMID28589031
PMCPMC5435263
OpenAlexW2605171782

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.