Measuring patient-centered care for specific populations: A necessity for improvement

The measurement of patient-centered care (PCC) is a fundamental component of assessing and improving health care quality. There are a variety of PCC measures available which have been tailored to different health care conditions and settings. These distinct measures are valuable given the diversity...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sara Handley, Ingrid Nembhard
Formato:	article
Lenguaje:	EN
Publicado:	The Beryl Institute 2020
Materias:	patient-centered care survey measurement patient populations dyadic care maternal-infant dyad Medicine (General) R5-920 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/ed0e0c95979a41fa87dd5ee167349b42
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ed0e0c95979a41fa87dd5ee167349b42
record_format	dspace
spelling	oai:doaj.org-article:ed0e0c95979a41fa87dd5ee167349b422021-11-15T04:31:12ZMeasuring patient-centered care for specific populations: A necessity for improvement2372-0247https://doaj.org/article/ed0e0c95979a41fa87dd5ee167349b422020-04-01T00:00:00Zhttps://pxjournal.org/journal/vol7/iss1/3https://doaj.org/toc/2372-0247The measurement of patient-centered care (PCC) is a fundamental component of assessing and improving health care quality. There are a variety of PCC measures available which have been tailored to different health care conditions and settings. These distinct measures are valuable given the diversity of health conditions and contexts encountered in the health care system. However, the type of patient has received significantly less attention when measuring PCC despite the multitude of unique patient populations that exist. Specific patient populations raise several core challenges for PCC measurement to which researchers and practitioners need to attend: identifying <em>what </em>principles to measure, <em>who</em> is the most appropriate assessor, and <em>how</em> best to measure PCC. Examples of specific patient populations include geriatric patients, refugees, migrants and dyadic patients. Dyadic patients, such as the mother-infant dyad, are two individual, independent, yet inextricably linked patients who require simultaneous care. In this commentary, we use the mother-infant dyad as one example of a specific population to illustrate the challenges and argument for why additional specific patient populations warrant dedicated measures of PCC. <strong>Experience Framework</strong> This article is associated with the Policy & Measurement 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%22Policy%20%26%20Measurement%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-PolicyMeasurement">Access other resources</a> related to this lens.</li> </ul>Sara HandleyIngrid NembhardThe Beryl Institutearticlepatient-centered caresurvey measurementpatient populationsdyadic carematernal-infant dyadMedicine (General)R5-920Public aspects of medicineRA1-1270ENPatient Experience Journal (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	patient-centered care survey measurement patient populations dyadic care maternal-infant dyad Medicine (General) R5-920 Public aspects of medicine RA1-1270
spellingShingle	patient-centered care survey measurement patient populations dyadic care maternal-infant dyad Medicine (General) R5-920 Public aspects of medicine RA1-1270 Sara Handley Ingrid Nembhard Measuring patient-centered care for specific populations: A necessity for improvement
description	The measurement of patient-centered care (PCC) is a fundamental component of assessing and improving health care quality. There are a variety of PCC measures available which have been tailored to different health care conditions and settings. These distinct measures are valuable given the diversity of health conditions and contexts encountered in the health care system. However, the type of patient has received significantly less attention when measuring PCC despite the multitude of unique patient populations that exist. Specific patient populations raise several core challenges for PCC measurement to which researchers and practitioners need to attend: identifying <em>what </em>principles to measure, <em>who</em> is the most appropriate assessor, and <em>how</em> best to measure PCC. Examples of specific patient populations include geriatric patients, refugees, migrants and dyadic patients. Dyadic patients, such as the mother-infant dyad, are two individual, independent, yet inextricably linked patients who require simultaneous care. In this commentary, we use the mother-infant dyad as one example of a specific population to illustrate the challenges and argument for why additional specific patient populations warrant dedicated measures of PCC. <strong>Experience Framework</strong> This article is associated with the Policy & Measurement 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%22Policy%20%26%20Measurement%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-PolicyMeasurement">Access other resources</a> related to this lens.</li> </ul>
format	article
author	Sara Handley Ingrid Nembhard
author_facet	Sara Handley Ingrid Nembhard
author_sort	Sara Handley
title	Measuring patient-centered care for specific populations: A necessity for improvement
title_short	Measuring patient-centered care for specific populations: A necessity for improvement
title_full	Measuring patient-centered care for specific populations: A necessity for improvement
title_fullStr	Measuring patient-centered care for specific populations: A necessity for improvement
title_full_unstemmed	Measuring patient-centered care for specific populations: A necessity for improvement
title_sort	measuring patient-centered care for specific populations: a necessity for improvement
publisher	The Beryl Institute
publishDate	2020
url	https://doaj.org/article/ed0e0c95979a41fa87dd5ee167349b42
work_keys_str_mv	AT sarahandley measuringpatientcenteredcareforspecificpopulationsanecessityforimprovement AT ingridnembhard measuringpatientcenteredcareforspecificpopulationsanecessityforimprovement
_version_	1718428840979595264

Measuring patient-centered care for specific populations: A necessity for improvement

Ejemplares similares