Evidence map›Paper›PMID 34313307›Full record

ArticleHealth policy and planning2021

Stated job preferences of three health worker cadres in Ethiopia: a discrete choice experiment.

Shyam Lamba, Nikita Arora, Dorka Woldesenbet Keraga, Abiyou Kiflie, Birkety Mengistu Jembere, Della Berhanu, Mehret Dubale, Tanya Marchant, Joanna Schellenberg, Nasir Umar and 2 more

Abstract read
In one paragraph

Article in Health policy and planning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Shyam LambaFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Nikita AroraFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Dorka Woldesenbet KeragaSchool of Public Health, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia.
Abiyou KiflieInstitute for Healthcare Improvement, Addis Ababa, Ethiopia.
Birkety Mengistu JembereInstitute for Healthcare Improvement, Addis Ababa, Ethiopia.
Della BerhanuFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Mehret DubaleFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Tanya MarchantFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Joanna SchellenbergFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.ORCID 0000-0002-0708-3676
Nasir UmarFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Abiy Seifu EstafinosSchool of Public Health, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia.
Matthew QuaifeFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.ORCID 0000-0001-9291-1511

Funding

Bill and Melinda Gates Foundation OPP1149259Wellcome Trust 212771/Z/18/Z
6 · The paper itself

Abstract

Attracting, training and retaining high-quality health workers are critical for a health system to function well, and it is important to know what health workers value in their roles. Many studies eliciting the labour market preferences of health workers have interviewed doctors or medical students, and there has been little research on the job preferences of lower-skilled cadres such as community health workers, mid-skilled clinical care staff such as nurses and midwives, or non-patient facing staff who manage health facilities. This study estimated the job preferences of public health sector community health extension workers (HEWs), care providers including nurses and midwives, and non-patient-facing administrative and managerial staff in Ethiopia. We used a discrete choice experiment to estimate which aspects of a job are most influential to health worker choices. A multinomial logistic regression model estimated the importance of six attributes to respondents: salary, training, workload, facility quality, management and opportunities to improve patient outcomes. We found that non-financial factors were important to respondents from all three cadres: e.g., supportive management [odds ratio (OR) = 2.96, P-value = 0.001] was the only attribute that influenced the job choices of non-patient-facing administrative and managerial staff. Training opportunities (OR = 3.45, P-value < 0.001), supportive management (OR = 3.26, P-value < 0.001) and good facility quality (OR = 2.42, P-value < 0.001) were valued the most amongst HEWs. Similarly, supportive management (OR = 3.22, P-value < 0.001), good facility quality (OR = 2.69, P-value < 0.001) and training opportunities (OR = 2.67, P-value < 0.001) influenced the job choices of care providers the most. Earning an average salary also influenced the jobs choices of HEWs (OR = 1.43, P-value = 0.02) and care providers (OR = 2.00, P-value < 0.001), which shows that a combination of financial and non-financial incentives should be considered to motivate health workers in Ethiopia.

Indexed as

Career ChoiceMotivationCommunity Health WorkersEthiopiaHumansSalaries and Fringe Benefitscare providersDiscrete choice experimentEthiopiahealth extension workershuman resources for healthjob preferencesnon-patient-facing staffstated preference

Identifiers

PMID34313307
PMCPMC8505867

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Registered trials

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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.