東華大學圖書館 |

語系: 繁體中文

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

Development and evaluation of a comp...

Choi, Jeeyae.

FindBook

Google Book

Amazon

博客來

Development and evaluation of a computer-interpretable guideline for depression screening and initial management in primary care.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development and evaluation of a computer-interpretable guideline for depression screening and initial management in primary care./
作者:	Choi, Jeeyae.
面頁冊數:	195 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-04, Section: B, page: 1915.
Contained By:	Dissertation Abstracts International67-04B.
標題:	Health Sciences, Nursing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3213488
ISBN:	9780542637018

Development and evaluation of a computer-interpretable guideline for depression screening and initial management in primary care.
Choi, Jeeyae.

Development and evaluation of a computer-interpretable guideline for depression screening and initial management in primary care. - 195 p.

Source: Dissertation Abstracts International, Volume: 67-04, Section: B, page: 1915.

Thesis (D.N.Sc.)--Columbia University, 2006.

Purpose: Clinical practice guidelines (CPGs) are designed to improve the quality of care by promoting proven interventions and consistency of care. The overall goal of this study was to develop a web-based decision support system (DSS) for depression screening and initial management that would be perceived as easy to use and potentially useful by system end-users (Advance Practice Nurses [APNs]). Translation of a CPG into a computer-interpretable guideline (CIG) is an essential step. Methods: This study consisted of six phases: (1) analysis of the prevalence of depression in an APN Student Clinical Log and evaluation of the ability of standardized terminologies to represent CPG concepts; (2) identification of functional requirements for the web-based DSS; (3) translation of a CPG into Guideline Interchange Format (GLIF) to create a CIG and measurement of the CIG's level of accuracy and completeness including comparison with primary care experts (n=4) on 21 clinical simulations; (4) technical integration and debugging of the web-based DSS; (5) heuristic evaluation by usability experts (n=3) to identify user interface problems; and (6) description of end-users (n=5) perceptions of ease of use and potential usefulness using quantitative (survey) and qualitative (think aloud) techniques. Results: (1) Depression as an assessment diagnosis was found in 300 out of 9,864 encounters in the APN Student Clinical Log database. Concepts extracted from the depression CPG were adequately represented by three standardized terminologies. (2) Functional specifications were identified and formalized in Unified Modeling Language diagrams. (3) Proficiency and efficiency scores were 100% for the performance of the CIG on 21 scenarios run by the Guideline Execution Engine. (4) Web-based DSS was implemented. (5) The average severity ratings for all heuristics, except for User control and freedom (M=3.3---major usability problem) ranged from 0.7 to 2.3. (6) Perceptions of potential usefulness and ease of use were 1.6 and 1.4 respectively (1=strongly agree and 5=strongly disagree). All qualitative comments reflected cosmetic, rather than functional issues. Discussion: This study contributes to the body of knowledge regarding creation of CIGs and their implementation into DSSs and to the design and implementation of DSSs for APN practice in primary care.

ISBN: 9780542637018Subjects--Topical Terms:

1017798
Health Sciences, Nursing.

Development and evaluation of a computer-interpretable guideline for depression screening and initial management in primary care.
LDR:03311nmm 2200277 4500 001 1824368
005 20061130141919.5
008 130610s2006 eng d
020 $a 9780542637018
035 $a (UnM)AAI3213488
035 $a AAI3213488
040 $a UnM $c UnM
100 1 $a Choi, Jeeyae. $3 1913447
245 1 0 $a Development and evaluation of a computer-interpretable guideline for depression screening and initial management in primary care.
300 $a 195 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-04, Section: B, page: 1915.
500 $a Adviser: Suzanne Bakken.
502 $a Thesis (D.N.Sc.)--Columbia University, 2006.
520 $a Purpose: Clinical practice guidelines (CPGs) are designed to improve the quality of care by promoting proven interventions and consistency of care. The overall goal of this study was to develop a web-based decision support system (DSS) for depression screening and initial management that would be perceived as easy to use and potentially useful by system end-users (Advance Practice Nurses [APNs]). Translation of a CPG into a computer-interpretable guideline (CIG) is an essential step. Methods: This study consisted of six phases: (1) analysis of the prevalence of depression in an APN Student Clinical Log and evaluation of the ability of standardized terminologies to represent CPG concepts; (2) identification of functional requirements for the web-based DSS; (3) translation of a CPG into Guideline Interchange Format (GLIF) to create a CIG and measurement of the CIG's level of accuracy and completeness including comparison with primary care experts (n=4) on 21 clinical simulations; (4) technical integration and debugging of the web-based DSS; (5) heuristic evaluation by usability experts (n=3) to identify user interface problems; and (6) description of end-users (n=5) perceptions of ease of use and potential usefulness using quantitative (survey) and qualitative (think aloud) techniques. Results: (1) Depression as an assessment diagnosis was found in 300 out of 9,864 encounters in the APN Student Clinical Log database. Concepts extracted from the depression CPG were adequately represented by three standardized terminologies. (2) Functional specifications were identified and formalized in Unified Modeling Language diagrams. (3) Proficiency and efficiency scores were 100% for the performance of the CIG on 21 scenarios run by the Guideline Execution Engine. (4) Web-based DSS was implemented. (5) The average severity ratings for all heuristics, except for User control and freedom (M=3.3---major usability problem) ranged from 0.7 to 2.3. (6) Perceptions of potential usefulness and ease of use were 1.6 and 1.4 respectively (1=strongly agree and 5=strongly disagree). All qualitative comments reflected cosmetic, rather than functional issues. Discussion: This study contributes to the body of knowledge regarding creation of CIGs and their implementation into DSSs and to the design and implementation of DSSs for APN practice in primary care.
590 $a School code: 0054.
650 4 $a Health Sciences, Nursing. $3 1017798
650 4 $a Health Sciences, Mental Health. $3 1017693
690 $a 0569
690 $a 0347
710 2 0 $a Columbia University. $3 571054
773 0 $t Dissertation Abstracts International $g 67-04B.
790 1 0 $a Bakken, Suzanne, $e advisor
790 $a 0054
791 $a D.N.Sc.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3213488