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Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach
BACKGROUND: Patients in health systems across the world can now choose between different health care providers. Patients are increasingly using websites and apps to compare the quality of health care services available in order to make a choice of provider. In keeping with many patient-facing platfo...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526909/ https://www.ncbi.nlm.nih.gov/pubmed/26048441 http://dx.doi.org/10.2196/mhealth.3808 |
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author | King, Dominic Zaman, Sameer Zaman, Saman Sara Kahlon, Gurnaaz Kaur Naik, Aditi Jessel, Amar Singh Nanavati, Niraj Shah, Akash Cox, Benita Darzi, Ara |
author_facet | King, Dominic Zaman, Sameer Zaman, Saman Sara Kahlon, Gurnaaz Kaur Naik, Aditi Jessel, Amar Singh Nanavati, Niraj Shah, Akash Cox, Benita Darzi, Ara |
author_sort | King, Dominic |
collection | PubMed |
description | BACKGROUND: Patients in health systems across the world can now choose between different health care providers. Patients are increasingly using websites and apps to compare the quality of health care services available in order to make a choice of provider. In keeping with many patient-facing platforms, most services currently providing comparative information on different providers do not take account of end-user requirements or the available evidence base. OBJECTIVE: To investigate what factors were considered most important when choosing nonemergency secondary health care providers in the United Kingdom with the purpose of translating these insights into a ratings platform delivered through a consumer mHealth app. METHODS: A mixed methods approach was used to identify key indicators incorporating a literature review to identify and categorize existing quality indicators, a questionnaire survey to formulate a ranked list of performance indicators, and focus groups to explore rationales behind the rankings. Findings from qualitative and quantitative methodologies were mapped onto each other under the four categories identified by the literature review. RESULTS: Quality indicators were divided into four categories. Hospital access was the least important category. The mean differences between the other three categories hospital statistics, hospital staff, and hospital facilities, were not statistically significant. Staff competence was the most important indicator in the hospital staff category; cleanliness and up-to-date facilities were equally important in hospital facilities; ease of travel to the hospital was found to be most important in hospital access. All quality indicators within the hospital statistics category were equally important. Focus groups elaborated that users find it difficult to judge staff competence despite its importance. CONCLUSIONS: A mixed methods approach is presented, which supported a patient-centered development and evaluation of a hospital ratings mobile app. Where possible, mHealth developers should use systematic research methods in order to more closely meet the needs of the end user and add credibility to their platform. |
format | Online Article Text |
id | pubmed-4526909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | JMIR Publications Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45269092015-08-11 Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach King, Dominic Zaman, Sameer Zaman, Saman Sara Kahlon, Gurnaaz Kaur Naik, Aditi Jessel, Amar Singh Nanavati, Niraj Shah, Akash Cox, Benita Darzi, Ara JMIR Mhealth Uhealth Original Paper BACKGROUND: Patients in health systems across the world can now choose between different health care providers. Patients are increasingly using websites and apps to compare the quality of health care services available in order to make a choice of provider. In keeping with many patient-facing platforms, most services currently providing comparative information on different providers do not take account of end-user requirements or the available evidence base. OBJECTIVE: To investigate what factors were considered most important when choosing nonemergency secondary health care providers in the United Kingdom with the purpose of translating these insights into a ratings platform delivered through a consumer mHealth app. METHODS: A mixed methods approach was used to identify key indicators incorporating a literature review to identify and categorize existing quality indicators, a questionnaire survey to formulate a ranked list of performance indicators, and focus groups to explore rationales behind the rankings. Findings from qualitative and quantitative methodologies were mapped onto each other under the four categories identified by the literature review. RESULTS: Quality indicators were divided into four categories. Hospital access was the least important category. The mean differences between the other three categories hospital statistics, hospital staff, and hospital facilities, were not statistically significant. Staff competence was the most important indicator in the hospital staff category; cleanliness and up-to-date facilities were equally important in hospital facilities; ease of travel to the hospital was found to be most important in hospital access. All quality indicators within the hospital statistics category were equally important. Focus groups elaborated that users find it difficult to judge staff competence despite its importance. CONCLUSIONS: A mixed methods approach is presented, which supported a patient-centered development and evaluation of a hospital ratings mobile app. Where possible, mHealth developers should use systematic research methods in order to more closely meet the needs of the end user and add credibility to their platform. JMIR Publications Inc. 2015-06-05 /pmc/articles/PMC4526909/ /pubmed/26048441 http://dx.doi.org/10.2196/mhealth.3808 Text en ©Dominic King, Sameer Zaman, Saman Sara Zaman, Gurnaaz Kaur Kahlon, Aditi Naik, Amar Singh Jessel, Niraj Nanavati, Akash Shah, Benita Cox, Ara Darzi. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 05.06.2015. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper King, Dominic Zaman, Sameer Zaman, Saman Sara Kahlon, Gurnaaz Kaur Naik, Aditi Jessel, Amar Singh Nanavati, Niraj Shah, Akash Cox, Benita Darzi, Ara Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach |
title | Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach |
title_full | Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach |
title_fullStr | Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach |
title_full_unstemmed | Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach |
title_short | Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach |
title_sort | identifying quality indicators used by patients to choose secondary health care providers: a mixed methods approach |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526909/ https://www.ncbi.nlm.nih.gov/pubmed/26048441 http://dx.doi.org/10.2196/mhealth.3808 |
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