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Evaluation of health information systems with ISO 9241-10 standard: A systematic review and meta-analysis

Saeed Hosseini Teshnizi, Mohammad Hosein Hayavi Haghighi, Jahanpour Alipour

2021Informatics in Medicine Unlocked16 citationsDOIOpen Access PDF

Abstract

This study aimed to summarize available data about health information system evaluation using the ISO 9241–110 (previously 9241–10) standard. A systematic review of literature from January 2000 to November 2020 was conducted in PubMed, Scopus, ScienceDirect, Web of Science, and Google Scholar as well as two Iranian national databases, Scientific Information Database and Magiran. Pooled estimates were calculated using random-effects meta-analysis. Data analyses were conducted using Stata version 14. From total of 179 studies subjected to initial screening, fifteen studies were eligible to enter the meta-analysis. The pooled mean estimates of the health information systems' overall scores (3.11; 95% confidence interval [CI], 2.82–3.41), suitability for individualization (3.82; 95% CI, 2.59–3.04), and controllability (3.82; 95% CI, 2.91–3.47) commonly had better performance compared with other dimensions. High heterogeneity was seen among the seven dimensions (I2 ≥ 98.6%, p < .001). According to the viewpoints of HIS users, suitability for individualization (3.82; 95% CI, 2.59–3.04) and controllability (3.82; 95% CI, 2.91–3.47) had better performance compared with other dimensions, and the results of the subgroup meta-analysis confirmed this difference (z = 4.75, p < .001). For each dimension, Egger's and Begg's tests showed no publication bias (p > .1). Most of the studies used the ISO 9241-110 standard as a summative assessment for evaluation of the usability of the HIS and results indicated the relative success of the evaluated systems based on this standard.

Topics & Concepts

Meta-analysisConfidence intervalScopusPublication biasWeb of scienceDimension (graph theory)MedicineUsabilitySubgroup analysisStatisticsPsychologyMEDLINEMathematicsComputer scienceInternal medicineChemistryPure mathematicsBiochemistryHuman–computer interactionElectronic Health Records SystemsMobile Health and mHealth ApplicationsData Quality and Management