Evidence map›Paper›PMID 38933484›Full record

ArticleBulletin of the World Health Organization2024

Patient satisfaction and value based purchasing in hospitals, Odisha, India.

Liana Woskie, Anuska Kalita, Bijetri Bose, Arpita Chakraborty, Kirti Gupta, Winnie Yip

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2024. 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. Policy approaches to health system performance assessment.Bulletin of the World Health Organization · 2024
    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

6 authors.

Liana WoskieDepartment of Community Health, Tufts University, 574 Boston Ave, Suite 208, MedfordMA02155, United States of America (USA).
Anuska KalitaDepartment of Global Health and Population, Harvard University, Boston, USA.
Bijetri BoseDepartment of Global Health and Population, Harvard University, Boston, USA.
Arpita ChakrabortyOxford Policy Management India Pvt Ltd, New Delhi, India.
Kirti GuptaOxford Policy Management India Pvt Ltd, New Delhi, India.
Winnie YipDepartment of Global Health and Population, Harvard University, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine how a general inpatient satisfaction survey functions as a hospital performance measure. Methods: We conducted a mixed-methods pilot study of the Hospital Consumer Assessment of Health Providers and Systems survey in Odisha, India. We divided the study into three steps: cognitive testing of the survey, item testing with exploratory factor analysis and content validity indexing. Cognitive testing involved 50 participants discussing their interpretation of survey items. The survey was then administered to 507 inpatients across five public hospitals in Odisha, followed by exploratory factor analysis. Finally, we interviewed 15 individuals to evaluate the content validity of the survey items. Findings: Cognitive testing revealed that six out of 18 survey questions were not consistently understood within the Odisha inpatient setting, highlighting issues around responsibilities for care. Exploratory factor analysis identified a six-factor structure explaining 66.7% of the variance. Regression models showed that interpersonal care from doctors and nurses had the strongest association with overall satisfaction. An assessment of differential item functioning revealed that patients with a socially marginalized caste reported higher disrespectful care, though this did not translate into differences in reported satisfaction. Content validity indexing suggested that discordance between experiences of disrespectful care and satisfaction ratings might be due to low patient expectations. Conclusion: Using satisfaction ratings without nuanced approaches in value-based purchasing programmes may mask poor-quality interpersonal services, particularly for historically marginalized patients. Surveys should be designed to accurately capture true levels of dissatisfaction, ensuring that patient concerns are not hidden.

Indexed as

Patient SatisfactionValue-Based PurchasingAdultFactor Analysis, StatisticalFemaleHospitals, PublicHumansIndiaMaleMiddle AgedPilot ProjectsQuality of Health CareSurveys and QuestionnairesYoung Adult

Identifiers

PMID38933484
PMCPMC11197647

What OpenQuestion holds

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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.