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

ABSTRACT:

Background

Healthcare data quality is essential towards effective decision-making. Data of high quality are accurate, complete, consistent, and timely. Any mistake in patient information is likely to result in serious life-threatening issues. Monitoring and evaluation systems have been introduced to address these data quality issues. These systems are affected by human inputs which can subsequently introduce errors that lower the quality of data. This study examined the influence of socio-demographic attributes of healthcare workers on data quality in selected regional referral hospitals in Tanzania.

Methodology

A cross-sectional study design was conducted from August to October 2024 across eight regional referral hospitals in Tanzania. Using simple random sampling, 336 heal

SUBMITTER: Phinias R 

PROVIDER: S-EPMC12687510 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature