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September 1, 2026SSM - Health SystemsOpen Access

The Extent and Factors Influencing the Quality of Routine Healthcare Data in Bahi and Dodoma Councils in Tanzania

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Authors

MMMasoud MahundiWSWilfred SenyoniMLMerina Marcelino Luambano

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Overview

Mixed-methods study reveals high overall completeness alongside critical gaps in essential healthcare records, highlighting the need to evaluate item-level data quality.

Key Points

  • To examine the quality and determinants of routine healthcare facility data by assessing completeness, consistency, and timeliness.
  • Conducted a mixed-methods assessment of routine health facility data across outpatient and antenatal services in Bahi District Council and Dodoma City Council, Tanzania.
  • Evaluated data quality across core dimensions, comparing form-level completeness, essential element completeness, and external consistency against population survey estimates.
  • Form completeness reached 98.1% for outpatient department records in Dodoma City Council and 98.4% for antenatal services in Bahi District Council.
  • External consistency showed strong agreement, with early antenatal care visits recorded at approximately 35% in both facility datasets and population surveys.
  • Form submission rates masked poor element completeness; while Bahi child health form submissions exceeded 90%, only 6% of facilities completed all essential data elements within them.

Cite This Study

Mahundi et al. (2026) studied this question.

synapsesocial.com/papers/6a9bb95393701560bbbb003dhttps://doi.org/10.1016/j.ssmhs.2026.100304
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