ArticleAfrican health sciences2025
Determinants of patients' satisfaction with health-care services: the role of patient demographics and individual factors.
Article in African health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Editorial: Infections, reproductive health and non-communicable diseases.African health sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patient satisfaction is a fundamental measure of healthcare quality and service responsiveness. In Kenya's public health system, understanding patient experiences is essential for enhancing care delivery under the UHC agenda. This study examined the influence of socio-demographic and individual factors on patient satisfaction. Methods: A cross-sectional descriptive design was employed involving 277 adult patients selected through simple random sampling. Data were collected via a questionnaire and analyzed using SPSS version 27. Descriptive statistics summarized patient characteristics, while chi-square tests and binary logistic regression identified associations and predictors of satisfaction (p < 0.05). Results: Overall, 49.8% of respondents reported being satisfied, while 24.6% were dissatisfied. Employment status showed a borderline significant association with satisfaction ( Conclusion: Patient satisfaction was moderate and influenced more by interpersonal interactions than demographic profiles. Communication quality emerged as the most important determinant. Enhancing relational aspects of care through communication training and routine feedback systems may improve satisfaction and align public health services with patient-centered care goals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.