Evidence map›Paper›PMID 34485519›Full record

ArticleBioMed research international2021

How Different Motivations for Making Informal Out-Of-Pocket Payments Vary in Their Influence on Users' Satisfaction with Healthcare, Local and National Government, and Satisfaction with Life?

Nazim Habibov, Alena Auchynnikava, Lida Fan, Yunhong Lyu

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Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

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4 · The record

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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

4 authors.

Nazim HabibovSchool of Social Work, University of Windsor, 167 Ferry Street, Windsor, Ontario, Canada N9A0C5.ORCID https://orcid.org/0000-0003-3862-4348
Alena AuchynnikavaUniversity of Windsor, Ontario, Canada.ORCID https://orcid.org/0000-0002-2637-5471
Lida FanLakehead University, Thunder Bay, Ontario, Canada.ORCID https://orcid.org/0000-0002-3059-8264
Yunhong LyuUniversity of Windsor, Ontario, Canada.ORCID https://orcid.org/0000-0003-3343-3729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dominant view in the literature is that informal payments in healthcare universally are a negative phenomenon. By contrast, we theorize that the motivation healthcare users for making informal payments (IP) can be classified into three categories: (1) a cultural norm, (2) "grease the wheels" payments if users offered to pay to get better services, and (3) "sand the wheels" payments if users were asked to pay by healthcare personnel or felt that payments were expected. We further hypothesize that these three categories of payments are differently associated with a user's outcomes, namely, satisfaction with healthcare, local and national government, satisfaction with life, and satisfaction with life of children in the future.

methodsWe used microdata from the 2016 Life-in-Transition survey. Multivariate regression analysis is used to quantify relationships between these categories of payments and users' outcomes.

resultsPayments that are the result of cultural norms are associated with better outcomes. On the contrary, "sand the wheel" payments are associated with worse outcomes. We find no association between making "grease the wheels" payments and outcomes.

conclusionsThis is the first paper which evaluates association between three different categories of informal payments with a wide range of users' outcomes on a diverse sample of countries. Focusing on informal payments in general, rather than explicitly examining specific motivations, obscures the true outcomes of making IP. It is important to distinguish between three different motivations for informal payment, namely, cultural norms, "grease the wheels," and "sand the wheels" since they have varying associations with user outcomes. From a policy making standpoint, variation in the links between different motivations for making IP and measures of satisfaction suggest that decision-makers should put their primary focus on situations where IP are explicitly asked for or are implied by the situation and that they should differentiate this from cases of gratitude payments. If such measures are not implemented, then policy makers may unintentionally ban the behaviour that is linked with increased satisfaction with healthcare, government, and life (i.e., paying gratitude).

Indexed as

MotivationFederal GovernmentHealth Care SurveysHealth ExpendituresHealth FacilitiesHumansPersonal SatisfactionQuality of Health Care

Identifiers

PMID34485519
PMCPMC8416363

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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.