An Outcome Study on Decision Support Computer Program for Cancer Pain Management

2.50
Hdl Handle:
http://hdl.handle.net/10755/165465
Category:
Abstract
Type:
Presentation
Title:
An Outcome Study on Decision Support Computer Program for Cancer Pain Management
Author(s):
Im, E.; Chee, W.
Author Details:
E. Im, University of Texas at Austin, Austin, Texas, USA; W. Chee
Abstract:
Considering the increasing number of ethnic minority groups in the U.S., it is imperative to develop a knowledge base on ethnic differences in cancer pain experience and to develop a decision support system that can help nurses to make culturally appropriate and adequate decisions on cancer pain management. Purpose: An initial version of a standardized decision support computer program (DSCP) was recently developed by Im and Chee, but it has been rarely validated through empirical studies. The purpose of this study was to validate the initial version of the standardized DSCP through an Internet intervention study among oncology nurses. Theoretical/Scientific Framework: Fuzzy logic by Zadeh was used as a theoretical basis to process vague descriptions on cancer pain and validate the DSCP. Methods: Among 60 oncology nurses recruited through the Internet and e-mail system, an Internet intervention study was conducted using a project website. The participants were self-identified registered nurses with active status working with cancer patients in clinical and/or home care settings related to cancer pain assessment and management who could read and write English. The project website included the DSCP, and questions for registration, refinement, and evaluation (validity and reliability of these instruments are being tested). When the participants agreed to participate, they were asked to register by entering their answers for the questions for registration through the Internet. Then, they were asked to answer the questions for refinement and to generate cancer pain management strategies by using the DSCP. After generating the strategies, the participants were asked to answer the questions for evaluation. Data Analysis: The data entered for refinement were automatically uploaded and used to upgrade the DSCP through the self-adaptation module. The data entered for registration and evaluation of the DSCP were analyzed using descriptive statistics including frequency, percentage, mean, standard deviation, and range. Findings and Implications: The participants evaluated the DSCP as appropriate (82%), accurate (84%) and acceptable (92%), and the DSCP was successfully upgraded and refined. The DSCP will provide computerized evidence based practice guidelines for cancer pain assessment and management and facilitate more accurate cancer pain assessment and more adequate cancer pain management.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2004
Conference Name:
29th Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
Anaheim, California, USA
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleAn Outcome Study on Decision Support Computer Program for Cancer Pain Managementen_GB
dc.contributor.authorIm, E.en_US
dc.contributor.authorChee, W.en_US
dc.author.detailsE. Im, University of Texas at Austin, Austin, Texas, USA; W. Cheeen_US
dc.identifier.urihttp://hdl.handle.net/10755/165465-
dc.description.abstractConsidering the increasing number of ethnic minority groups in the U.S., it is imperative to develop a knowledge base on ethnic differences in cancer pain experience and to develop a decision support system that can help nurses to make culturally appropriate and adequate decisions on cancer pain management. Purpose: An initial version of a standardized decision support computer program (DSCP) was recently developed by Im and Chee, but it has been rarely validated through empirical studies. The purpose of this study was to validate the initial version of the standardized DSCP through an Internet intervention study among oncology nurses. Theoretical/Scientific Framework: Fuzzy logic by Zadeh was used as a theoretical basis to process vague descriptions on cancer pain and validate the DSCP. Methods: Among 60 oncology nurses recruited through the Internet and e-mail system, an Internet intervention study was conducted using a project website. The participants were self-identified registered nurses with active status working with cancer patients in clinical and/or home care settings related to cancer pain assessment and management who could read and write English. The project website included the DSCP, and questions for registration, refinement, and evaluation (validity and reliability of these instruments are being tested). When the participants agreed to participate, they were asked to register by entering their answers for the questions for registration through the Internet. Then, they were asked to answer the questions for refinement and to generate cancer pain management strategies by using the DSCP. After generating the strategies, the participants were asked to answer the questions for evaluation. Data Analysis: The data entered for refinement were automatically uploaded and used to upgrade the DSCP through the self-adaptation module. The data entered for registration and evaluation of the DSCP were analyzed using descriptive statistics including frequency, percentage, mean, standard deviation, and range. Findings and Implications: The participants evaluated the DSCP as appropriate (82%), accurate (84%) and acceptable (92%), and the DSCP was successfully upgraded and refined. The DSCP will provide computerized evidence based practice guidelines for cancer pain assessment and management and facilitate more accurate cancer pain assessment and more adequate cancer pain management.en_GB
dc.date.available2011-10-27T12:19:02Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:19:02Z-
dc.conference.date2004en_US
dc.conference.name29th Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationAnaheim, California, USAen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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