ArticleHealth science reports2026
Variability in Perceived Healthcare Data Quality Across Tanzanian Regional Referral Hospitals: A Hospital-Based Cross-Sectional Study.
Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background and Aim: Healthcare data quality is critical for informed decision-making and effective healthcare management. However, variability in perceived data quality exists across different healthcare facilities. This study aimed to explore the differences in healthcare data quality perceptions among healthcare workers across four dimensions: data accuracy, completeness, timeliness, and consistency. Methods: Between August and October 2024, we conducted a cross‑sectional survey of 336 healthcare workers, selected via simple random sampling from the eight RRHs. Participants completed a validated questionnaire (Cronbach's Results: Significant hospital‑level differences emerged for accuracy (F(7, 328) = 5.03, Conclusion: Perceptions of data quality vary markedly across RRHs in Tanzania, with medium‑to‑large effect sizes indicating substantive differences. However, the cross‑sectional, perception‑based design precludes causal inference and lacks objective data-quality verification. Future work should integrate objective metrics (e.g., audit logs, error rates) and apply a guiding framework such as Donabedian's structure-process-outcome to identify the facility‑level determinants driving these perceptual gaps and their impact on patient‑care outcomes.
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