Nabila Clydea Harahap, Putu Wuri Handayani, Achmad Nizar Hidayanto
{"title":"Barriers and facilitators of personal health record adoption in Indonesia: Health facilities’ perspectives","authors":"Nabila Clydea Harahap, Putu Wuri Handayani, Achmad Nizar Hidayanto","doi":"10.1016/j.ijmedinf.2022.104750","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Personal health record (PHR) has been extensively used in developed countries; however, it has been limitedly adopted in developing countries. This study was conducted in Indonesia: a developing country with the largest population in Southeast Asia. PHR that is integrated with health providers is needed to achieve a transformation from a health provider-centered to a patient-centered healthcare system.</p></div><div><h3>Objective</h3><p>To qualitatively analyze barriers and facilitators of PHR adoption by health facilities in Indonesia from the technological, organizational, environmental, and individual factors.</p></div><div><h3>Methods</h3><p>In this qualitative study, we used semi-structured interviews with three health facility directors, 17 IT heads, eight physicians, and three nurses from 10 primary healthcare facilities, nine government hospitals, and six private hospitals in Indonesia. Interview data were analyzed using thematic analysis in NVivo 12. The analysis stages involved familiarizing data, generating initial codes, searching themes, evaluating themes, defining and naming themes, and writing reports.</p></div><div><h3>Results</h3><p>Regarding technological factors, the barriers to PHR adoption include security and privacy, interoperability, and infrastructure. Organizational support can facilitate PHR adoption in terms of organizational factors, while a lack of human resources is a barrier to PHR adoption. Regarding environmental factors, the lack of government regulations is the barrier to PHR adoption, while competition between health facilities and vendor support could facilitate PHR adoption. Finally, regarding individual factors, perceived usefulness and ease of use can be facilitators of PHR adoption, while user attitudes and e-health literacy can be barriers to PHR adoption.</p></div><div><h3>Conclusions</h3><p>This study is expected to comprehensively understand PHR adoption in Indonesia and could be applied to other developing countries with similar technological, legal, or cultural characteristics as Indonesia. This study also provides information that can guide health regulators, health facilities, or PHR vendors in planning the implementation of integrated PHR.</p></div>","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"162 ","pages":"Article 104750"},"PeriodicalIF":4.1000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386505622000648","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 7
Abstract
Background
Personal health record (PHR) has been extensively used in developed countries; however, it has been limitedly adopted in developing countries. This study was conducted in Indonesia: a developing country with the largest population in Southeast Asia. PHR that is integrated with health providers is needed to achieve a transformation from a health provider-centered to a patient-centered healthcare system.
Objective
To qualitatively analyze barriers and facilitators of PHR adoption by health facilities in Indonesia from the technological, organizational, environmental, and individual factors.
Methods
In this qualitative study, we used semi-structured interviews with three health facility directors, 17 IT heads, eight physicians, and three nurses from 10 primary healthcare facilities, nine government hospitals, and six private hospitals in Indonesia. Interview data were analyzed using thematic analysis in NVivo 12. The analysis stages involved familiarizing data, generating initial codes, searching themes, evaluating themes, defining and naming themes, and writing reports.
Results
Regarding technological factors, the barriers to PHR adoption include security and privacy, interoperability, and infrastructure. Organizational support can facilitate PHR adoption in terms of organizational factors, while a lack of human resources is a barrier to PHR adoption. Regarding environmental factors, the lack of government regulations is the barrier to PHR adoption, while competition between health facilities and vendor support could facilitate PHR adoption. Finally, regarding individual factors, perceived usefulness and ease of use can be facilitators of PHR adoption, while user attitudes and e-health literacy can be barriers to PHR adoption.
Conclusions
This study is expected to comprehensively understand PHR adoption in Indonesia and could be applied to other developing countries with similar technological, legal, or cultural characteristics as Indonesia. This study also provides information that can guide health regulators, health facilities, or PHR vendors in planning the implementation of integrated PHR.
期刊介绍:
International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings.
The scope of journal covers:
Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.;
Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc.
Educational computer based programs pertaining to medical informatics or medicine in general;
Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.