Evidence map›Paper›PMID 38570839›Full record

ArticleBMC health services research2024

Health workforce incentives and dis-incentives during the COVID-19 pandemic: experiences from Democratic Republic of Congo, Nigeria, Senegal, and Uganda.

Suzanne N Kiwanuka, Ziyada Babirye, Steven N Kabwama, Andrew K Tusubira, Susan Kizito, Rawlance Ndejjo, Marc Bosonkie, Landry Egbende, Berthold Bondo, Mala Ali Mapatano and 12 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
13.3field-weighted citation impact, top 1% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

22 authors at 5 institutions in 4 countries.

Suzanne N KiwanukaDepartment of Health Policy, Planning and Management, Makerere University College of Health Sciences School of Public Health, Kampala, P.O Box 7072, Uganda. skiwanuka@musph.ac.ug.
Ziyada BabiryeDepartment of Health Policy, Planning and Management, Makerere University College of Health Sciences School of Public Health, Kampala, P.O Box 7072, Uganda.
Steven N KabwamaDepartment of Health Policy, Planning and Management, Makerere University College of Health Sciences School of Public Health, Kampala, P.O Box 7072, Uganda.
Andrew K TusubiraDepartment of Health Policy, Planning and Management, Makerere University College of Health Sciences School of Public Health, Kampala, P.O Box 7072, Uganda.
Susan KizitoDepartment of Health Policy, Planning and Management, Makerere University College of Health Sciences School of Public Health, Kampala, P.O Box 7072, Uganda.
Rawlance NdejjoDepartment of Health Policy, Planning and Management, Makerere University College of Health Sciences School of Public Health, Kampala, P.O Box 7072, Uganda.
Marc BosonkieKinshasa School of Public Health, Kinshasa, Democratic Republic of Congo.
Landry EgbendeKinshasa School of Public Health, Kinshasa, Democratic Republic of Congo.
Berthold BondoBarumbu General Referral Hospital, Kinshasa, Democratic Republic of Congo.
Mala Ali MapatanoKinshasa School of Public Health, Kinshasa, Democratic Republic of Congo.
Ibrahima SeckThe Cheikh-Anta-Diop University (UCAD), Dakar, Senegal.
Oumar BassoumThe Cheikh-Anta-Diop University (UCAD), Dakar, Senegal.
Mamadou Mm LeyeThe Cheikh-Anta-Diop University (UCAD), Dakar, Senegal.
Issakha DialloThe Cheikh-Anta-Diop University (UCAD), Dakar, Senegal.
Olufunmilayo I FawoleFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Segun BelloFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Mobolaji M SalawuFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Eniola A BamgboyeFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Magbagbeola David DairoFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Ayo Steven AdebowaleFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Rotimi F AfolabiFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Rhoda K WanyenzeDepartment of Health Policy, Planning and Management, Makerere University College of Health Sciences School of Public Health, Kampala, P.O Box 7072, Uganda.
Makerere University · UGUniversity of Ibadan · NGCheikh Anta Diop University · SNMinistry of Public Health · CDKinshasa General Hospital · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic presented a myriad of challenges for the health workforce around the world due to its escalating demand on service delivery. A motivated health workforce is critical to effectual emergency response and in some settings, incentivizing health workers motivates them and ensures continuity in the provision of health services. We describe health workforce experiences with incentives and dis-incentives during the COVID-19 response in the Democratic Republic of Congo (DRC), Senegal, Nigeria, and Uganda.

methodsThis is a multi-country qualitative research study involving four African countries namely: DRC, Nigeria, Senegal, and Uganda which assessed the workplace incentives instituted in response to the COVID-19 pandemic. Key informant interviews (n = 60) were conducted with staff at ministries of health, policy makers and health workers. Interviews were virtual using the telephone or Zoom. They were audio recorded, transcribed verbatim, and analyzed thematically. Themes were identified and quotes were used to support findings.

resultsHealth worker incentives included (i) financial rewards in the form of allowances and salary increments. These motivated health workers, sustaining the health system and the health workers' efforts during the COVID-19 response across the four countries. (ii) Non-financial incentives related to COVID-19 management such as provision of medicines/supplies, on the job trainings, medical care for health workers, social welfare including meals, transportation and housing, recognition, health insurance, psychosocial support, and supervision. Improvised determination and distribution of both financial and non-financial incentives were common across the countries. Dis-incentives included the lack of personal protective equipment, lack of transportation to health facilities during lockdown, long working hours, harassment by security forces and perceived unfairness in access to and inadequacy of financial incentives.

conclusionAlthough important for worker motivation, financial and non-financial incentives generated some dis-incentives because of the perceived unfairness in their provision. Financial and non-financial incentives deployed during health emergencies should preferably be pre-determined, equitably and transparently provided because when arbitrarily applied, these same financial and non-financial incentives can potentially become dis-incentives. Moreover, financial incentives are useful only as far as they are administered together with non-financial incentives such as supportive and well-resourced work environments. The potential negative impacts of interventions such as service delivery re-organization and lockdown within already weakened systems need to be anticipated and due precautions exercised to reduce dis-incentives during emergencies.

Indexed as

COVID-19MotivationCommunicable Disease ControlDemocratic Republic of the CongoEmergenciesHealth WorkforceHumansNigeriaPandemicsSenegalUgandaCOVID-19Dis-incentivesHealth workforceIncentives

Identifiers

PMID38570839
PMCPMC10993439
OpenAlexW4393854013

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.