Availability and quality of routine morbidity data: review of studies in South Africa
Author(s) -
Rifqah Abeeda Roomaney,
Victoria Pillayvan Wyk,
O F Awotiwon,
Edward Nicol,
Jané Joubert,
Debbie Bradshaw,
Lyn A Hanmer
Publication year - 2016
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocw075
Subject(s) - data quality , medicine , psychological intervention , quality (philosophy) , environmental health , data collection , data science , computer science , operations management , statistics , nursing , metric (unit) , philosophy , mathematics , epistemology , economics
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom