作者
HR Kagoya, D Kibuule, TW Rennie, C Wuletaw, KH Mitonga
发表日期
2020/6/1
期刊
Research in Social and Administrative Pharmacy
卷号
16
期号
6
页码范围
828-835
出版商
Elsevier
简介
Background
Robust pharmaceutical management information systems (PMIS) strengthen healthcare planning and delivery. Few nationwide studies in resource limited settings in Africa validate the data quality of PMIS in public healthcare.
Objective
To determine predictors and quality of data in a nationwide PMIS database in Namibia.
Methods
A population-level analysis of the quality of data i.e. completeness, accuracy and consistency in a nationwide PMIS database, 2007–2015. Data quality of the PMIS was determined by three domains, completeness, accuracy and consistency. Data completeness was determined by level of missing data in SPSSv25, with acceptable level set at <5%. Data accuracy was determined by proportion of PMIS indicators with extreme outliers. Data consistence was determined by patterns of missingness, i.e. random or systematic. Predictors of data quality were determined using logistic …
引用总数
202020212022202320243421
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