Socio-demographic predictors associated with capacity to engage in health care

Patient engagement is essential to improve outcomes and reduce healthcare costs. This study aimed to examine the socio-demographic factors associated with one’s capacity to engage in their health care. An observational, cross-sectional study was performed including patients from five medical/surgica...

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Autores principales:	Ran Sun, Linden Wu, Scott Barnett, Patsy Deyo, Ellen Swartwout
Formato:	article
Lenguaje:	EN
Publicado:	The Beryl Institute 2019
Materias:	patient-centered care patient engagement precision engagement Medicine (General) R5-920 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/86d49c29f87d429c858f82f9a37585f4
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spelling	oai:doaj.org-article:86d49c29f87d429c858f82f9a37585f42021-11-15T04:28:44ZSocio-demographic predictors associated with capacity to engage in health care2372-0247https://doaj.org/article/86d49c29f87d429c858f82f9a37585f42019-07-01T00:00:00Zhttps://pxjournal.org/journal/vol6/iss2/8https://doaj.org/toc/2372-0247Patient engagement is essential to improve outcomes and reduce healthcare costs. This study aimed to examine the socio-demographic factors associated with one’s capacity to engage in their health care. An observational, cross-sectional study was performed including patients from five medical/surgical units of four health systems. Patients’ engagement capacity was assessed using the person engagement index (PEI) instrument which contains four subscales: engagement in health care, technology use in health care, proactive approach to health care, and psychosocial support for health care. Separate general linear models were applied for the PEI total score and each of the four subscale scores. Our results show that younger age was associated with greater technology use in health care. Individuals with higher educational levels have a greater overall engagement and the use of technology in their health care. A higher level of psychosocial support was found among blacks and those being employed. No difference in the proactive approach was found by one’s socio-demographic factors. This study illustrated that an individual’s age, race, educational level, and employment status were associated with the capacity to engage in different aspects of health care activities. Providers need to assess one’s readiness for engagement to deliver customized interventions based on their needs and capacity to engage. <strong>Experience Framework</strong> This article is associated with the Innovation & Technology lens of The Beryl Institute Experience Framework. (<a href="http://bit.ly/ExperienceFramework">http://bit.ly/ExperienceFramework</a>) <ul> <li><a href="https://www.theberylinstitute.org/page/PXSEARCH#resource-list-all/?view_28_page=1&view_28_filters=%5B%7B%22field%22%3A%22field_38%22%2C%22operator%22%3A%22in%22%2C%22value%22%3A%5B%22PXJ%20Article%22%5D%7D%2C%7B%22field%22%3A%22field_20%22%2C%22operator%22%3A%22is%22%2C%22value%22%3A%5B%22%22%5D%7D%2C%7B%22field%22%3A%22field_40%22%2C%22operator%22%3A%22is%22%2C%22value%22%3A%5B%22%22%2C%22Innovation%20%26%20Technology%22%5D%7D%2C%7B%22field%22%3A%22field_41%22%2C%22operator%22%3A%22is%22%2C%22value%22%3A%5B%22%22%5D%7D%5D">Access other PXJ articles</a> related to this lens.</li> <li><a href="https://www.theberylinstitute.org/page/Ecosystem-InnovationTechnology">Access other resources</a> related to this lens</li> </ul>Ran SunLinden WuScott BarnettPatsy DeyoEllen SwartwoutThe Beryl Institutearticlepatient-centered carepatient engagementprecision engagementMedicine (General)R5-920Public aspects of medicineRA1-1270ENPatient Experience Journal (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	patient-centered care patient engagement precision engagement Medicine (General) R5-920 Public aspects of medicine RA1-1270
spellingShingle	patient-centered care patient engagement precision engagement Medicine (General) R5-920 Public aspects of medicine RA1-1270 Ran Sun Linden Wu Scott Barnett Patsy Deyo Ellen Swartwout Socio-demographic predictors associated with capacity to engage in health care
description	Patient engagement is essential to improve outcomes and reduce healthcare costs. This study aimed to examine the socio-demographic factors associated with one’s capacity to engage in their health care. An observational, cross-sectional study was performed including patients from five medical/surgical units of four health systems. Patients’ engagement capacity was assessed using the person engagement index (PEI) instrument which contains four subscales: engagement in health care, technology use in health care, proactive approach to health care, and psychosocial support for health care. Separate general linear models were applied for the PEI total score and each of the four subscale scores. Our results show that younger age was associated with greater technology use in health care. Individuals with higher educational levels have a greater overall engagement and the use of technology in their health care. A higher level of psychosocial support was found among blacks and those being employed. No difference in the proactive approach was found by one’s socio-demographic factors. This study illustrated that an individual’s age, race, educational level, and employment status were associated with the capacity to engage in different aspects of health care activities. Providers need to assess one’s readiness for engagement to deliver customized interventions based on their needs and capacity to engage. <strong>Experience Framework</strong> This article is associated with the Innovation & Technology lens of The Beryl Institute Experience Framework. (<a href="http://bit.ly/ExperienceFramework">http://bit.ly/ExperienceFramework</a>) <ul> <li><a href="https://www.theberylinstitute.org/page/PXSEARCH#resource-list-all/?view_28_page=1&view_28_filters=%5B%7B%22field%22%3A%22field_38%22%2C%22operator%22%3A%22in%22%2C%22value%22%3A%5B%22PXJ%20Article%22%5D%7D%2C%7B%22field%22%3A%22field_20%22%2C%22operator%22%3A%22is%22%2C%22value%22%3A%5B%22%22%5D%7D%2C%7B%22field%22%3A%22field_40%22%2C%22operator%22%3A%22is%22%2C%22value%22%3A%5B%22%22%2C%22Innovation%20%26%20Technology%22%5D%7D%2C%7B%22field%22%3A%22field_41%22%2C%22operator%22%3A%22is%22%2C%22value%22%3A%5B%22%22%5D%7D%5D">Access other PXJ articles</a> related to this lens.</li> <li><a href="https://www.theberylinstitute.org/page/Ecosystem-InnovationTechnology">Access other resources</a> related to this lens</li> </ul>
format	article
author	Ran Sun Linden Wu Scott Barnett Patsy Deyo Ellen Swartwout
author_facet	Ran Sun Linden Wu Scott Barnett Patsy Deyo Ellen Swartwout
author_sort	Ran Sun
title	Socio-demographic predictors associated with capacity to engage in health care
title_short	Socio-demographic predictors associated with capacity to engage in health care
title_full	Socio-demographic predictors associated with capacity to engage in health care
title_fullStr	Socio-demographic predictors associated with capacity to engage in health care
title_full_unstemmed	Socio-demographic predictors associated with capacity to engage in health care
title_sort	socio-demographic predictors associated with capacity to engage in health care
publisher	The Beryl Institute
publishDate	2019
url	https://doaj.org/article/86d49c29f87d429c858f82f9a37585f4
work_keys_str_mv	AT ransun sociodemographicpredictorsassociatedwithcapacitytoengageinhealthcare AT lindenwu sociodemographicpredictorsassociatedwithcapacitytoengageinhealthcare AT scottbarnett sociodemographicpredictorsassociatedwithcapacitytoengageinhealthcare AT patsydeyo sociodemographicpredictorsassociatedwithcapacitytoengageinhealthcare AT ellenswartwout sociodemographicpredictorsassociatedwithcapacitytoengageinhealthcare
_version_	1718428816265707520

Socio-demographic predictors associated with capacity to engage in health care

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