Evidence map›Paper›PMID 37419635›Full record

ArticleBMJ open2023

How can we elicit health workers' preferences for measures to reduce informal payments? A mixed methods approach to developing a discrete choice experiment in Tanzania.

Peter Binyaruka, Blake Angell, Martin McKee, Antonio Andreoni, Masuma Mamdani, Eleanor Hutchinson, Dina Balabanova

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Peter BinyarukaDepartment of Health System, Impact Evaluation and Policy, Ifakara Health Institute, Ifakara, Tanzania pbinyaruka@ihi.or.tz.ORCID 0000-0002-1892-7985
Blake AngellUniversity of New South Wales Sydney, The George Institute for Global Health, Newtown, New South Wales, Australia.ORCID 0000-0002-7188-7740
Martin McKeeDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-0121-9683
Antonio AndreoniDepartment of Economics, SOAS University of London, London, UK.
Masuma MamdaniDepartment of Health System, Impact Evaluation and Policy, Ifakara Health Institute, Ifakara, Tanzania.
Eleanor HutchinsonDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK.
Dina BalabanovaDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWhile discrete choice experiments (DCEs) have been used in other fields as a means of eliciting respondent preferences, these remain relatively new in studying corrupt practices in the health sector. This study documents and discusses the process of developing a DCE to inform policy measures aimed at addressing informal payments for healthcare in Tanzania.

designA mixed methods design was used to systematically develop attributes for the DCE. It involved five stages: a scoping literature review, qualitative interviews, a workshop with health providers and managers, expert review and a pilot study.

settingDar es Salaam and Pwani regions in Tanzania.

participantsHealth workers and health managers.

resultsA large number of factors were identified as driving informal payments in Tanzania and thus represent potential areas for policy intervention. Through iterative process involving different methods (qualitative and quantitative) and seeking consensus views by diverse actors, we derived six attributes for a DCE: mode of payment, supervision at the facility level, opportunity for private practice, awareness and monitoring, disciplinary measures against informal payments and incentive payment for staff if a facility has less informal payments. 12 choice sets were generated and piloted with 15 health workers from 9 health facilities. The pilot study revealed that respondents could easily understand the attributes and levels, answered all the choice sets and appeared to be trading between the attributes. The results from the pilot study had expected signs for all attributes.

conclusionsWe elicited attributes and levels for a DCE to identify the acceptability and preferences of potential policy interventions to address informal payments in Tanzania through a mixed-methods approach. We argue that more attention is needed to the process of defining attributes for the DCE, which needs to be rigorous and transparent in order to derive reliable and policy-relevant findings.

Indexed as

Health PersonnelPolicyChoice BehaviorHumansPatient PreferencePilot ProjectsTanzaniahealth economicshealth policyhuman resource managementqualitative researchstatistics & research methods

Identifiers

PMID37419635
PMCPMC10335481

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.