Evidence map›Paper›PMID 31390364›Full record

ArticlePLoS medicine2019

Expectations of healthcare quality: A cross-sectional study of internet users in 12 low- and middle-income countries.

Sanam Roder-DeWan, Anna D Gage, Lisa R Hirschhorn, Nana A Y Twum-Danso, Jerker Liljestrand, Kwanele Asante-Shongwe, Viviana Rodríguez, Talhiya Yahya, Margaret E Kruk

Abstract read
In one paragraph

Article in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

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

  1. Pooled it
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  17. Population assessment of health system performance in 16 countries.Bulletin of the World Health Organization · 2024
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  18. Article
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  20. Pandemic stressors and mental health indicators in eight countries.Social psychiatry and psychiatric epidemiology · 2024
    Article

2 more citing papers are in PubMed but not listed here.

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

9 authors.

Sanam Roder-DeWanHarvard T. H. Chan School of Public Health, Department of Global Health and Population, Boston, Massachusetts, United States of America.ORCID 0000-0003-0114-2505
Anna D GageHarvard T. H. Chan School of Public Health, Department of Global Health and Population, Boston, Massachusetts, United States of America.ORCID 0000-0002-4422-0545
Lisa R HirschhornNorthwestern University, Feinberg School of Medicine, Chicago, Illinois, United States of America.
Nana A Y Twum-DansoMAZA, Accra, Ghana.
Jerker LiljestrandBill & Melinda Gates Foundation, Seattle, Washington, United States of America.
Kwanele Asante-ShongweAfrican Organisation for Research and Training in Cancer, Cape Town, South Africa.ORCID 0000-0001-7298-2435
Viviana RodríguezInstituto de Efectividad Clínica Sanitaria, Buenos Aires, Argentina.ORCID 0000-0002-4862-5486
Talhiya YahyaQuality Management Unit, Health Quality Assurance Department, Ministry of Health, Dar es Salaam, Tanzania.
Margaret E KrukHarvard T. H. Chan School of Public Health, Department of Global Health and Population, Boston, Massachusetts, United States of America.ORCID 0000-0002-9549-8432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh satisfaction with healthcare is common in low- and middle-income countries (LMICs), despite widespread quality deficits. This may be due to low expectations because people lack knowledge about what constitutes good quality or are resigned about the quality of available services. METHODS AND

findingsWe fielded an internet survey in Argentina, China, Ghana, India, Indonesia, Kenya, Lebanon, Mexico, Morocco, Nigeria, Senegal, and South Africa in 2017 (N = 17,996). It included vignettes describing poor-quality services-inadequate technical or interpersonal care-for 2 conditions. After applying population weights, most of our respondents lived in urban areas (59%), had finished primary school (55%), and were under the age of 50 (75%). Just over half were men (51%), and the vast majority reported that they were in good health (73%). Over half (53%) of our study population rated the quality of vignettes describing poor-quality services as good or better. We used multilevel logistic regression and found that good ratings were associated with less education (no formal schooling versus university education; adjusted odds ratio [AOR] 2.22, 95% CI 1.90-2.59, P < 0.001), better self-reported health (excellent versus poor health; AOR 5.19, 95% CI 4.33-6.21, P < 0.001), history of discrimination in healthcare (AOR 1.47, 95% CI 1.36-1.57, P < 0.001), and male gender (AOR 1.32, 95% CI 1.23-1.41, P < 0.001). The survey did not reach nonusers of the internet thus only representing the internet-using population.

conclusionsMajorities of the internet-using public in 12 LMICs have low expectations of healthcare quality as evidenced by high ratings given to poor-quality care. Low expectations of health services likely dampen demand for quality, reduce pressure on systems to deliver quality care, and inflate satisfaction ratings. Policies and interventions to raise people's expectations of the quality of healthcare they receive should be considered in health system quality reforms.

Indexed as

AdolescentAdultCross-Sectional StudiesDeveloping CountriesFemaleHumansInternetMaleMiddle AgedPatient SatisfactionQuality of Health CareSurveys and QuestionnairesYoung Adult

Identifiers

PMID31390364
PMCPMC6685603

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.