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Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals

BACKGROUND: Healthcare organizations have begun to adopt personal health records (PHR) systems to engage patients, but little is known about factors associated with the adoption of PHR systems at an organizational level. The objective of this study is to investigate factors associated with healthcar...

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Autores principales: Choi, Byung Kwan, Park, Young-Taek, Park, Hyeoun-Ae, Lane, Chris, Jo, Emmanuel C., Kang, Sunghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555279/
https://www.ncbi.nlm.nih.gov/pubmed/34715863
http://dx.doi.org/10.1186/s12911-021-01666-9
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author Choi, Byung Kwan
Park, Young-Taek
Park, Hyeoun-Ae
Lane, Chris
Jo, Emmanuel C.
Kang, Sunghong
author_facet Choi, Byung Kwan
Park, Young-Taek
Park, Hyeoun-Ae
Lane, Chris
Jo, Emmanuel C.
Kang, Sunghong
author_sort Choi, Byung Kwan
collection PubMed
description BACKGROUND: Healthcare organizations have begun to adopt personal health records (PHR) systems to engage patients, but little is known about factors associated with the adoption of PHR systems at an organizational level. The objective of this study is to investigate factors associated with healthcare organizations’ adoption of PHR systems in South Korea. METHODS: The units of analysis were hospitals with more than 100 beds. Study data of 313 hospitals were collected from May 1 to June 30, 2020. The PHR adoption status for each hospital was collected from PHR vendors and online searches. Adoption was then confirmed by downloading the hospital’s PHR app and the PHR app was examined to ascertain its available functions. One major outcome variable was PHR adoption status at hospital level. Data were analysed by logistic regressions using SAS 9.4 version. RESULTS: Out of 313 hospitals, 103 (32.9%) hospitals adopted PHR systems. The nurse-patient ratio was significantly associated with PHR adoption (OR 0.758; 0.624 to 0.920, p = 0.005). The number of health information management staff was associated with PHR adoption (OR 1.622; 1.228 to 2.141, p = 0.001). The number of CTs was positively associated with PHR adoption (OR 5.346; 1.962 to 14.568, p = 0.001). Among the hospital characteristics, the number of beds was significantly related with PHR adoption in the model of standard of nursing care (OR 1.003; 1.001 to 1.005, p < 0.001), HIM staff (OR 1.004; 1.002 to 1.006, p < 0.001), and technological infrastructure (OR 1.050; 1.003 to 1.006, p < 0.001). CONCLUSIONS: One-third of study hospitals had adopted PHR systems. Standard of nursing care as well as information technology infrastructure in terms of human resources for health information management and advanced technologies were significantly associated with adoption of PHR systems. A favourable environment for adopting new technologies in general may be associated with the adoption and use of PHR systems.
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spelling pubmed-85552792021-10-29 Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals Choi, Byung Kwan Park, Young-Taek Park, Hyeoun-Ae Lane, Chris Jo, Emmanuel C. Kang, Sunghong BMC Med Inform Decis Mak Research Article BACKGROUND: Healthcare organizations have begun to adopt personal health records (PHR) systems to engage patients, but little is known about factors associated with the adoption of PHR systems at an organizational level. The objective of this study is to investigate factors associated with healthcare organizations’ adoption of PHR systems in South Korea. METHODS: The units of analysis were hospitals with more than 100 beds. Study data of 313 hospitals were collected from May 1 to June 30, 2020. The PHR adoption status for each hospital was collected from PHR vendors and online searches. Adoption was then confirmed by downloading the hospital’s PHR app and the PHR app was examined to ascertain its available functions. One major outcome variable was PHR adoption status at hospital level. Data were analysed by logistic regressions using SAS 9.4 version. RESULTS: Out of 313 hospitals, 103 (32.9%) hospitals adopted PHR systems. The nurse-patient ratio was significantly associated with PHR adoption (OR 0.758; 0.624 to 0.920, p = 0.005). The number of health information management staff was associated with PHR adoption (OR 1.622; 1.228 to 2.141, p = 0.001). The number of CTs was positively associated with PHR adoption (OR 5.346; 1.962 to 14.568, p = 0.001). Among the hospital characteristics, the number of beds was significantly related with PHR adoption in the model of standard of nursing care (OR 1.003; 1.001 to 1.005, p < 0.001), HIM staff (OR 1.004; 1.002 to 1.006, p < 0.001), and technological infrastructure (OR 1.050; 1.003 to 1.006, p < 0.001). CONCLUSIONS: One-third of study hospitals had adopted PHR systems. Standard of nursing care as well as information technology infrastructure in terms of human resources for health information management and advanced technologies were significantly associated with adoption of PHR systems. A favourable environment for adopting new technologies in general may be associated with the adoption and use of PHR systems. BioMed Central 2021-10-29 /pmc/articles/PMC8555279/ /pubmed/34715863 http://dx.doi.org/10.1186/s12911-021-01666-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Choi, Byung Kwan
Park, Young-Taek
Park, Hyeoun-Ae
Lane, Chris
Jo, Emmanuel C.
Kang, Sunghong
Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals
title Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals
title_full Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals
title_fullStr Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals
title_full_unstemmed Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals
title_short Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals
title_sort factors of quality of care and their association with smartphone based phr adoption in south korean hospitals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555279/
https://www.ncbi.nlm.nih.gov/pubmed/34715863
http://dx.doi.org/10.1186/s12911-021-01666-9
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