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Development and Validation of Patient Engagement Index : = Conceptualizing and Measuring Engagement in Patients in Hong Kong.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Development and Validation of Patient Engagement Index :/
Reminder of title:
Conceptualizing and Measuring Engagement in Patients in Hong Kong.
Author:
Xu, Huan.
Description:
1 online resource (497 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 80-08, Section: B.
Contained By:
Dissertations Abstracts International80-08B.
Subject:
Public health. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13837782click for full text (PQDT)
ISBN:
9780438850804
Development and Validation of Patient Engagement Index : = Conceptualizing and Measuring Engagement in Patients in Hong Kong.
Xu, Huan.
Development and Validation of Patient Engagement Index :
Conceptualizing and Measuring Engagement in Patients in Hong Kong. - 1 online resource (497 pages)
Source: Dissertations Abstracts International, Volume: 80-08, Section: B.
Thesis (Ph.D.)--The Chinese University of Hong Kong (Hong Kong), 2018.
Includes bibliographical references
In recent years, patient engagement has been recognised increasingly as an important and essential driver in encouraging both professionals and patients to work together towards patient-centred healthcare system. Patient engagement initiatives have been found to be significant drive to improve treatment efficiency, increase patient and professional satisfaction, reduce hospital visits, decrease morbidity and mortality rates and reduce costs. However, the operational framework, definition and measure of patient engagement remain underdeveloped. In recent years, Hong Kong policymakers have focused considerable efforts in dispelling the mist and in transforming the patients' role in healthcare. However, evaluating the effectiveness of any substantial change in the culture, processes and pattern of healthcare service has proved to be difficulty. The lack of suitable instrument which takes both international experience and local culture into consideration to assess patient engagement is the main obstacle. Therefore, this thesis aimed to translate of concept of patient engagement into operational framework, develop of the Patient Engagement Index (PEI) scale and measure patient engagement with a rigorous, systematic and scientific methods that can provide a view on the level of patient engagement in out-patient service provision in Hong Kong. This study is composed of three phases. The objective of phase one was to identify the construct of patient engagement measure and generate the domains and items for patient engagement. The patient engagement framework was therefore derived and served as the basis for the development of scale. The development process involved literature review, secondary analysis of qualitative data in the past patient experience projects, expert panel discussions (internal and external experts), and two rounds of pilot studies in clinic. At the end of phase one, the operational framework of patient engagement tool, namely Patient Engagement Index (PEI) with content validity was affirmed and proceeded to succeeding psychometric test. The objective of phase two was to test the psychometric properties of PEI scale. A total of 324 participants were successfully recruited from general out-patient clinic and completed the survey with response rate of 52.4%. The data collected from the survey were used to conduct a series of psychometric tests to confirm the validity and reliability of the PEI. The psychometric structure of PEI was confirmed with four ascending levels of patient engagement at each stage of patient-doctor interaction (diagnosis, treatment, rehabilitation, and health maintenance) namely, 'self-information search,' 'communication with professionals,' 'partnership' and 'health maintenance'. The model could explain 64% of total variance. Also, test-retest showed the weighted kappa values of 20 items ranged between 0.41 and 0.87 whereas the intraclass correlation coefficients of four domains ranged between 0.64 and 0.82. For the internal consistency, Cronbach's alpha ranged from 0.73 to 0.91. The results demonstrated PEI to be reliable. No DIF item was found and Rasch model also confirmed PEI has good validity and reliability. Min-max normalization was employed to transfer the PEI score into the range between 0 and 100. Phase three focused on two objectives which are re-confirmation of the structural stability of PEI; and establishment of the baseline value of patient engagement in general out-patient clinics in Hong Kong. The CFA confirmed the 4-factor structure of PEI suggests the good fit of the model with the new data. The result of survey indicates the overall performance of patient engagement in out-patient clinic is not high (mean=37.02/100). The respondents, who are younger, highly educated, fully employed, live with family, and without long-term conditions performed better on PEI. Furthermore, other factors from organizational and political perspectives, like professional support, have enough choice, the communication time, family support, patient organization support and personal spending on health care also showed the significant relationship with patient engagement. Patients have been increasing promoted to play a more active role in the management of their health and healthcare. PEI would serve as a solution to effectively evaluate the level of engagement in healthcare, where current measures yet failed to provide help. The PEI is able to grasp the variations of the patient-professional relationship in engaging in the journey of healthcare services. The PEI could be easily understood and used in the practice of clinical encounter in order to help both patients and professionals to develop the strategies to enhance the engagement to improve the health. In addition, the result of patient engagement survey reminds our health care system that respecting patients' preference and values, listening to their voice and providing more alternative choices for them to better involve in the process of decision making is very important. Such transformation could provide more flexible care, long-term cost-effectiveness, better experience and good health.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9780438850804Subjects--Topical Terms:
534748
Public health.
Subjects--Index Terms:
EngagementIndex Terms--Genre/Form:
542853
Electronic books.
Development and Validation of Patient Engagement Index : = Conceptualizing and Measuring Engagement in Patients in Hong Kong.
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Source: Dissertations Abstracts International, Volume: 80-08, Section: B.
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Advisor: Ying, Zee Chung Benny.
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Includes bibliographical references
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In recent years, patient engagement has been recognised increasingly as an important and essential driver in encouraging both professionals and patients to work together towards patient-centred healthcare system. Patient engagement initiatives have been found to be significant drive to improve treatment efficiency, increase patient and professional satisfaction, reduce hospital visits, decrease morbidity and mortality rates and reduce costs. However, the operational framework, definition and measure of patient engagement remain underdeveloped. In recent years, Hong Kong policymakers have focused considerable efforts in dispelling the mist and in transforming the patients' role in healthcare. However, evaluating the effectiveness of any substantial change in the culture, processes and pattern of healthcare service has proved to be difficulty. The lack of suitable instrument which takes both international experience and local culture into consideration to assess patient engagement is the main obstacle. Therefore, this thesis aimed to translate of concept of patient engagement into operational framework, develop of the Patient Engagement Index (PEI) scale and measure patient engagement with a rigorous, systematic and scientific methods that can provide a view on the level of patient engagement in out-patient service provision in Hong Kong. This study is composed of three phases. The objective of phase one was to identify the construct of patient engagement measure and generate the domains and items for patient engagement. The patient engagement framework was therefore derived and served as the basis for the development of scale. The development process involved literature review, secondary analysis of qualitative data in the past patient experience projects, expert panel discussions (internal and external experts), and two rounds of pilot studies in clinic. At the end of phase one, the operational framework of patient engagement tool, namely Patient Engagement Index (PEI) with content validity was affirmed and proceeded to succeeding psychometric test. The objective of phase two was to test the psychometric properties of PEI scale. A total of 324 participants were successfully recruited from general out-patient clinic and completed the survey with response rate of 52.4%. The data collected from the survey were used to conduct a series of psychometric tests to confirm the validity and reliability of the PEI. The psychometric structure of PEI was confirmed with four ascending levels of patient engagement at each stage of patient-doctor interaction (diagnosis, treatment, rehabilitation, and health maintenance) namely, 'self-information search,' 'communication with professionals,' 'partnership' and 'health maintenance'. The model could explain 64% of total variance. Also, test-retest showed the weighted kappa values of 20 items ranged between 0.41 and 0.87 whereas the intraclass correlation coefficients of four domains ranged between 0.64 and 0.82. For the internal consistency, Cronbach's alpha ranged from 0.73 to 0.91. The results demonstrated PEI to be reliable. No DIF item was found and Rasch model also confirmed PEI has good validity and reliability. Min-max normalization was employed to transfer the PEI score into the range between 0 and 100. Phase three focused on two objectives which are re-confirmation of the structural stability of PEI; and establishment of the baseline value of patient engagement in general out-patient clinics in Hong Kong. The CFA confirmed the 4-factor structure of PEI suggests the good fit of the model with the new data. The result of survey indicates the overall performance of patient engagement in out-patient clinic is not high (mean=37.02/100). The respondents, who are younger, highly educated, fully employed, live with family, and without long-term conditions performed better on PEI. Furthermore, other factors from organizational and political perspectives, like professional support, have enough choice, the communication time, family support, patient organization support and personal spending on health care also showed the significant relationship with patient engagement. Patients have been increasing promoted to play a more active role in the management of their health and healthcare. PEI would serve as a solution to effectively evaluate the level of engagement in healthcare, where current measures yet failed to provide help. The PEI is able to grasp the variations of the patient-professional relationship in engaging in the journey of healthcare services. The PEI could be easily understood and used in the practice of clinical encounter in order to help both patients and professionals to develop the strategies to enhance the engagement to improve the health. In addition, the result of patient engagement survey reminds our health care system that respecting patients' preference and values, listening to their voice and providing more alternative choices for them to better involve in the process of decision making is very important. Such transformation could provide more flexible care, long-term cost-effectiveness, better experience and good health.
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click for full text (PQDT)
based on 0 review(s)
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