Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System

(1) Background: The appearance of physician rating websites (PRWs) has raised researchers’ interest in the online healthcare field, particularly how users consume information available on PRWs in terms of online physician reviews and providers’ information in their decision-making process. The aim o...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Adnan Muhammad Shah, Wazir Muhammad, Kangyoon Lee, Rizwan Ali Naqvi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	systematic review physician rating websites online physician reviews clinical decision support system Medicine R
Acceso en línea:	https://doaj.org/article/70ade48f656442ebb9d617cc3debf91b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:70ade48f656442ebb9d617cc3debf91b
record_format	dspace
spelling	oai:doaj.org-article:70ade48f656442ebb9d617cc3debf91b2021-11-11T16:22:39ZExamining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System10.3390/ijerph1821112261660-46011661-7827https://doaj.org/article/70ade48f656442ebb9d617cc3debf91b2021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11226https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601(1) Background: The appearance of physician rating websites (PRWs) has raised researchers’ interest in the online healthcare field, particularly how users consume information available on PRWs in terms of online physician reviews and providers’ information in their decision-making process. The aim of this study is to consistently review the early scientific literature related to digital healthcare platforms, summarize key findings and study features, identify literature deficiencies, and suggest digital solutions for future research. (2) Methods: A systematic literature review using key databases was conducted to search published articles between 2010 and 2020 and identified 52 papers that focused on PRWs, different signals in the form of PRWs’ features, the findings of these studies, and peer-reviewed articles. The research features and main findings are reported in tables and figures. (3) Results: The review of 52 papers identified 22 articles for online reputation, 15 for service popularity, 16 for linguistic features, 15 for doctor–patient concordance, 7 for offline reputation, and 11 for trustworthiness signals. Out of 52 studies, 75% used quantitative techniques, 12% employed qualitative techniques, and 13% were mixed-methods investigations. The majority of studies retrieved larger datasets using machine learning techniques (44/52). These studies were mostly conducted in China (38), the United States (9), and Europe (3). The majority of signals were positively related to the clinical outcomes. Few studies used conventional surveys of patient treatment experience (5, 9.61%), and few used panel data (9, 17%). These studies found a high degree of correlation between these signals with clinical outcomes. (4) Conclusions: PRWs contain valuable signals that provide insights into the service quality and patient treatment choice, yet it has not been extensively used for evaluating the quality of care. This study offers implications for researchers to consider digital solutions such as advanced machine learning and data mining techniques to test hypotheses regarding a variety of signals on PRWs for clinical decision-making.Adnan Muhammad ShahWazir MuhammadKangyoon LeeRizwan Ali NaqviMDPI AGarticlesystematic reviewphysician rating websitesonline physician reviewsclinical decision support systemMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11226, p 11226 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	systematic review physician rating websites online physician reviews clinical decision support system Medicine R
spellingShingle	systematic review physician rating websites online physician reviews clinical decision support system Medicine R Adnan Muhammad Shah Wazir Muhammad Kangyoon Lee Rizwan Ali Naqvi Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System
description	(1) Background: The appearance of physician rating websites (PRWs) has raised researchers’ interest in the online healthcare field, particularly how users consume information available on PRWs in terms of online physician reviews and providers’ information in their decision-making process. The aim of this study is to consistently review the early scientific literature related to digital healthcare platforms, summarize key findings and study features, identify literature deficiencies, and suggest digital solutions for future research. (2) Methods: A systematic literature review using key databases was conducted to search published articles between 2010 and 2020 and identified 52 papers that focused on PRWs, different signals in the form of PRWs’ features, the findings of these studies, and peer-reviewed articles. The research features and main findings are reported in tables and figures. (3) Results: The review of 52 papers identified 22 articles for online reputation, 15 for service popularity, 16 for linguistic features, 15 for doctor–patient concordance, 7 for offline reputation, and 11 for trustworthiness signals. Out of 52 studies, 75% used quantitative techniques, 12% employed qualitative techniques, and 13% were mixed-methods investigations. The majority of studies retrieved larger datasets using machine learning techniques (44/52). These studies were mostly conducted in China (38), the United States (9), and Europe (3). The majority of signals were positively related to the clinical outcomes. Few studies used conventional surveys of patient treatment experience (5, 9.61%), and few used panel data (9, 17%). These studies found a high degree of correlation between these signals with clinical outcomes. (4) Conclusions: PRWs contain valuable signals that provide insights into the service quality and patient treatment choice, yet it has not been extensively used for evaluating the quality of care. This study offers implications for researchers to consider digital solutions such as advanced machine learning and data mining techniques to test hypotheses regarding a variety of signals on PRWs for clinical decision-making.
format	article
author	Adnan Muhammad Shah Wazir Muhammad Kangyoon Lee Rizwan Ali Naqvi
author_facet	Adnan Muhammad Shah Wazir Muhammad Kangyoon Lee Rizwan Ali Naqvi
author_sort	Adnan Muhammad Shah
title	Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System
title_short	Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System
title_full	Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System
title_fullStr	Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System
title_full_unstemmed	Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System
title_sort	examining different factors in web-based patients’ decision-making process: systematic review on digital platforms for clinical decision support system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/70ade48f656442ebb9d617cc3debf91b
work_keys_str_mv	AT adnanmuhammadshah examiningdifferentfactorsinwebbasedpatientsdecisionmakingprocesssystematicreviewondigitalplatformsforclinicaldecisionsupportsystem AT wazirmuhammad examiningdifferentfactorsinwebbasedpatientsdecisionmakingprocesssystematicreviewondigitalplatformsforclinicaldecisionsupportsystem AT kangyoonlee examiningdifferentfactorsinwebbasedpatientsdecisionmakingprocesssystematicreviewondigitalplatformsforclinicaldecisionsupportsystem AT rizwanalinaqvi examiningdifferentfactorsinwebbasedpatientsdecisionmakingprocesssystematicreviewondigitalplatformsforclinicaldecisionsupportsystem
_version_	1718432362496262144

Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System

Ejemplares similares