語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
The eHealth Trust Model: Understandi...
~
Shen, Nelson.
FindBook
Google Book
Amazon
博客來
The eHealth Trust Model: Understanding the Patient Privacy Perspective in a Digital Health Environment.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The eHealth Trust Model: Understanding the Patient Privacy Perspective in a Digital Health Environment./
作者:
Shen, Nelson.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
223 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
Contained By:
Dissertations Abstracts International81-06B.
標題:
Health care management. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13885659
ISBN:
9781392345535
The eHealth Trust Model: Understanding the Patient Privacy Perspective in a Digital Health Environment.
Shen, Nelson.
The eHealth Trust Model: Understanding the Patient Privacy Perspective in a Digital Health Environment.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 223 p.
Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
Thesis (Ph.D.)--University of Toronto (Canada), 2019.
This item must not be sold to any third party vendors.
Patient privacy is an issue on the forefront of health information exchange (HIE) discussions as patient privacy concerns are often cited as an implementation barrier. While protecting patient privacy is crucial in healthcare, the limited evidence suggests that patient privacy needs may be overstated by the healthcare community. Through three interrelated studies, this dissertation argues that patient privacy perspectives are more nuanced than suggested in the patient privacy discourse. A greater understanding of their perspectives is required to ensure patient-centric privacy policy decisions are made about HIE. The first study in this dissertation is a systematic review that explores how patient privacy has been characterized in the empirical literature on HIE. The review highlights context-dependency of the patient privacy perspective and identifies knowledge and methodological gaps in the current evidence. In the second study, patients with mental health conditions were interviewed to understand their views on privacy, trust, personal health information (PHI) regulations, and HIE. The study found that privacy concerns varied among the patients; moreover, trust and perceived benefits were equally important factors in their decision to share their health data (i.e., PHI). The findings from these studies were used to develop the eHealth Trust Model (eHTM)-an evidence-based theory-grounded privacy framework. The proposed eHTM was then validated and improved through an eDelphi study, where a panel of privacy experts and patients provided feedback on the theoretical relevance and applicability of the model constructs. The final product of this dissertation is a content-validated eHTM, which provides an evidence-based, theory-grounded approach to conceptualizing the patient privacy perspective. The purpose of the eHTM is to guide future policy-oriented research that provides knowledge users with insights on how to implement innovative uses of PHI while meeting patient expectations of privacy.
ISBN: 9781392345535Subjects--Topical Terms:
2122906
Health care management.
Subjects--Index Terms:
Digital health
The eHealth Trust Model: Understanding the Patient Privacy Perspective in a Digital Health Environment.
LDR
:03236nmm a2200385 4500
001
2270995
005
20201008063037.5
008
220629s2019 ||||||||||||||||| ||eng d
020
$a
9781392345535
035
$a
(MiAaPQ)AAI13885659
035
$a
AAI13885659
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Shen, Nelson.
$3
3548392
245
1 4
$a
The eHealth Trust Model: Understanding the Patient Privacy Perspective in a Digital Health Environment.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
223 p.
500
$a
Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
500
$a
Advisor: Wiljer, David.
502
$a
Thesis (Ph.D.)--University of Toronto (Canada), 2019.
506
$a
This item must not be sold to any third party vendors.
520
$a
Patient privacy is an issue on the forefront of health information exchange (HIE) discussions as patient privacy concerns are often cited as an implementation barrier. While protecting patient privacy is crucial in healthcare, the limited evidence suggests that patient privacy needs may be overstated by the healthcare community. Through three interrelated studies, this dissertation argues that patient privacy perspectives are more nuanced than suggested in the patient privacy discourse. A greater understanding of their perspectives is required to ensure patient-centric privacy policy decisions are made about HIE. The first study in this dissertation is a systematic review that explores how patient privacy has been characterized in the empirical literature on HIE. The review highlights context-dependency of the patient privacy perspective and identifies knowledge and methodological gaps in the current evidence. In the second study, patients with mental health conditions were interviewed to understand their views on privacy, trust, personal health information (PHI) regulations, and HIE. The study found that privacy concerns varied among the patients; moreover, trust and perceived benefits were equally important factors in their decision to share their health data (i.e., PHI). The findings from these studies were used to develop the eHealth Trust Model (eHTM)-an evidence-based theory-grounded privacy framework. The proposed eHTM was then validated and improved through an eDelphi study, where a panel of privacy experts and patients provided feedback on the theoretical relevance and applicability of the model constructs. The final product of this dissertation is a content-validated eHTM, which provides an evidence-based, theory-grounded approach to conceptualizing the patient privacy perspective. The purpose of the eHTM is to guide future policy-oriented research that provides knowledge users with insights on how to implement innovative uses of PHI while meeting patient expectations of privacy.
590
$a
School code: 0779.
650
4
$a
Health care management.
$3
2122906
650
4
$a
Behavioral sciences.
$3
529833
650
4
$a
Information technology.
$3
532993
653
$a
Digital health
653
$a
eHealth
653
$a
Health Information Exchange
653
$a
Patient perspective
653
$a
Privacy
653
$a
Trust
690
$a
0769
690
$a
0602
690
$a
0489
710
2
$a
University of Toronto (Canada).
$b
Health Policy, Management and Evaluation.
$3
2105918
773
0
$t
Dissertations Abstracts International
$g
81-06B.
790
$a
0779
791
$a
Ph.D.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13885659
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9423229
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入