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Data quality of routine health information systems and associated factors among public health facilities in Banadir region, Somalia: A cross-sectional study

Nor Haji Osman et al.

Health Informatics Journal2026https://doi.org/10.1177/14604582261428311article
ABDC C
Weight
0.50

What the paper says

BackgroundData quality encompasses completeness, accuracy, integrity, timeliness, and confidentiality. In many low- and middle-income countries, including Somalia, data from RHIS are often poor, limiting their usefulness for public health actions. This study assessed the quality of RHIS data and associated factors among public health facilities in the Banadir region, Somalia.MethodsA facility-based cross-sectional study was conducted from October to December 2024 across 36 public health facilities using a multistage sampling approach. Data were collected through document reviews, interviews, and observations using PRISM-based standardized tools. Data were analyzed in SPSS version 27 after checking logistic regression assumptions. Data quality was assessed by the dimensions of accuracy (≥80%), completeness (≥85%), and timeliness (≥85%). Bivariable and multivariable logistic regression analyses identified associated factors.ResultsA total of 398 healthcare workers (59.5% female) participated, yielding a 98% response rate. Overall, good-quality data were observed in 65.3% of departments. Departments in health centers were 2.7 times more likely to report good-quality data than hospitals. Feedback, refresher training, and user-friendly reporting formats were significantly associated with better data quality.ConclusionData quality across the three dimensions was scored at (65.3%). Strengthening supervision, feedback, and context-specific training can improve data reporting and management.

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https://doi.org/https://doi.org/10.1177/14604582261428311

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@article{nor2026,
  title        = {{Data quality of routine health information systems and associated factors among public health facilities in Banadir region, Somalia: A cross-sectional study}},
  author       = {Nor Haji Osman et al.},
  journal      = {Health Informatics Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/14604582261428311},
}

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Data quality of routine health information systems and associated factors among public health facilities in Banadir region, Somalia: A cross-sectional study

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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