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December 8, 2025BMC Health Services ResearchOpen Access

Predictive power of socio-demographic attributes of healthcare workers on data quality in Tanzanian regional referral hospitals

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Authors

RPRogate I. PhiniasMMMikidadi MuhangaJMJoshua J. Malago

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Overview

Observational analysis shows predictive power of socio-demographic attributes on data quality in healthcare workers, suggesting targeted training may improve accuracy.

Key Points

  • Enhanced data quality is linked to healthcare workers influenced by socio-demographic attributes.
  • Age and sex were found to significantly affect the accuracy and completeness of healthcare data.
  • Analysis of the characteristics of patient data collectors indicated room for improvement through targeted training programs.
  • These findings highlight the importance of addressing socio-demographic attributes to maintain high-quality healthcare data.

Cite This Study

Phinias et al. (2025) studied this question.

synapsesocial.com/papers/69401f0f2d562116f28fa176https://doi.org/10.1186/s12913-025-13219-1
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