Sociotechnical factors influencing unsafe use of hospital information systems: A qualitative study in Malaysian government hospitals

Salahuddin, Lizawati; Ismail, Zuraini; Hashim, Ummi Rabaah; Ikram, Raja Rina Raja; Ismail, Nor Haslinda; Mohayat, Mohd Hariz Naim

doi:10.1177/1460458218759698

Cited by 14 publications

(8 citation statements)

References 32 publications

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“…understanding the relationship between human and computer/processes by addressing technical features, such as hardware, software, and techniques, as well as social factors, such as culture, acceptance, and environment). 121–123 For instance, a study by Salahuddin et al 124 highlights five major sociotechnical factors influencing the safe use of HIT, such as knowledge, system quality, task stressor, organization resources, and teamwork. One of the most comprehensive conceptual models that has been proposed is the eight-dimensional sociotechnical model: (1) hardware and software computing infrastructure; (2) clinical content; (3) human–computer interface; (4) people; (5) workflow and communication; (6) internal organizational policies, procedures, and culture; (7) external rules, regulations, and pressures; and (8) system measurement and monitoring (see Table 6).…”

Section: Resultsmentioning

confidence: 99%

Computerized provider order entry–related medication errors among hospitalized patients: An integrative review

Elshayib

Pawola

2020

Health Informatics J

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The Institute of Medicine estimates that 7,000 lives are lost yearly as a result of medication errors. Computerized physician and/or provider order entry was one of the proposed solutions to overcome this tragic issue. Despite some promising data about its effectiveness, it has been found that computerized provider order entry may facilitate medication errors. The purpose of this review is to summarize current evidence of computerized provider order entry -related medication errors and address the sociotechnical factors impacting the safe use of computerized provider order entry. By using PubMed and Google Scholar databases, a systematic search was conducted for articles published in English between 2007 and 2019 regarding the unintended consequences of computerized provider order entry and its related medication errors. A total of 288 articles were screened and categorized based on their use within the review. One hundred six articles met our pre-defined inclusion criteria and were read in full, in addition to another 27 articles obtained from references. All included articles were classified into the following categories: rates and statistics on computerized provider order entry -related medication errors, types of computerized provider order entry -related unintended consequences, factors contributing to computerized provider order entry failure, and recommendations based on addressing sociotechnical factors. Identifying major types of computerized provider order entry -related unintended consequences and addressing their causes can help in developing appropriate strategies for safe and effective computerized provider order entry. The interplay between social and technical factors can largely affect its safe implementation and use. This review discusses several factors associated with the unintended consequences of this technology in healthcare settings and presents recommendations for enhancing its effectiveness and safety within the context of sociotechnical factors.

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Section: Resultsmentioning

confidence: 99%

Computerized provider order entry–related medication errors among hospitalized patients: An integrative review

Elshayib

Pawola

2020

Health Informatics J

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“…In Malaysian tertiary referral centers, the use of clinical care IS was found to contradict doctors' workflows, their task complexities, and their work environments [7]. The doctors appeared to resist using the systems due to an inconvenient interface and functions, which have created many data entry mistakes and medication errors [8].…”

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confidence: 99%

Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers

Salleh

Abdullah

Zakaria

2021

BMC Med Inform Decis Mak

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Background The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the post-implementation primary care providers’ performance impact. Methods Convenience sampling was employed for data collection in three government hospitals for 7 months. A standardized effectiveness survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing. Results The results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the most substantial system quality component. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas the increased quality of knowledge improved user performance. Conclusion Given these findings, knowledge quality and effective use should be incorporated into evaluating EHR system effectiveness in health institutions. Data mining features can be integrated into current systems for efficiently and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers, and increasing their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.

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“…Results from the systematic literature review and interviews with physicians showed that socioeconomic factors such as knowledge, system quality, information quality, service quality, training, organizational resources, teamwork, task-related stress, physical disposition, and noise influence the unsafe use of hospital information systems. Therefore, health information technologies (HIT) are recommended to reduce errors in HIS usability [ 50 , 51 ].…”

Section: Discussionmentioning

confidence: 99%

Assessing the Use of Hospital Information Systems (HIS) to Support Decision-Making: A Cross-Sectional Study in Public Hospitals in the Huíla Health Region of Southern Angola

2022

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Hospital information systems could be relevant tools to inform hospital managers, support better management decisions in healthcare, and increase efficiency. Nonetheless, hospital managers’ effective use of these systems to support decision-making in Angola is unknown. Our study aimed to analyse the use of hospital information systems as a tool to support decision-making by hospital managers in Huíla, Angola. It was a descriptive, cross-sectional study inducted between July and September 2017 in seven hospitals in Huíla Province, Angola, specifically in the cities of Lubango and Matala. Thirty-six members of the hospital boards filled out a self-questionnaire that consisted of twenty questions based on the following issues: Characterisation of the interviewee’s profile; availability of information in the institution; and quality and usefulness of the available operational information. At least two thirds of the participants reported being unsatisfied or relatively satisfied with each assessed hospital information systems-specific feature. More than 50% have rarely or never used the health information system to support decision-making. Most managers do not use hospital information systems to support management-related decision-making in Angola. Improving the ability of hospital information systems to compute adequate indicators and training for hospital managers could be targets for future interventions to support better management-related decision-making in Angolan healthcare.

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Sociotechnical factors influencing unsafe use of hospital information systems: A qualitative study in Malaysian government hospitals

Cited by 14 publications

References 32 publications

Computerized provider order entry–related medication errors among hospitalized patients: An integrative review

Computerized provider order entry–related medication errors among hospitalized patients: An integrative review

Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers

Assessing the Use of Hospital Information Systems (HIS) to Support Decision-Making: A Cross-Sectional Study in Public Hospitals in the Huíla Health Region of Southern Angola

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