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DOI 10.1093/jamia/ocw075

Медицинская библиотека · Journal of the American Medical Informatics Association : JAMIA · 2017

Availability and quality of routine morbidity data: review of studies in South Africa.

Roomaney Rifqah A, Pillay-van Wyk Victoria, Awotiwon Oluwatoyin F, Nicol Edward, Joubert Jané D, Bradshaw Debbie, Hanmer Lyn A

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Аннотация

OBJECTIVES

Routine health information systems (RHISs) provide data that are vital for planning and monitoring individual health. Data from RHISs could also be used for purposes for which they were not originally intended, provided that the data are of sufficient quality. For example, morbidity data could be used to inform burden of disease estimations, which serve as important evidence to prioritize interventions and promote health. The objective of this study was to identify and assess published quantitative assessments of data quality related to patient morbidity in RHISs in use in South Africa.

MATERIALS AND

METHODS

We conducted a review of literature published between 1994 and 2014 that assessed the quality of data in RHISs in South Africa. World Health Organization (WHO) data quality components were used as the assessment criteria.

RESULTS

Of 420 references identified, 11 studies met the inclusion criteria. The studies were limited to tuberculosis and HIV. No study reported more than 3 WHO data quality components or provided a quantitative assessment of quality that could be used for burden of disease estimation.

DISCUSSION: The included studies had limited geographical focus and evaluated different source data at different levels of the information system. All studies reported poor data quality.

CONCLUSION

This review confirmed concerns about the quality of data in RHISs, and highlighted the need for a comprehensive evaluation of the quality of patient-level morbidity data in RHISs in South Africa.

Для цитирования: Roomaney Rifqah A, Pillay-van Wyk Victoria, Awotiwon Oluwatoyin F, Nicol Edward, Joubert Jané D, Bradshaw Debbie, Hanmer Lyn A. Availability and quality of routine morbidity data: review of studies in South Africa.. Journal of the American Medical Informatics Association : JAMIA. 2017. DOI: 10.1093/jamia/ocw075.

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