2.50
Hdl Handle:
http://hdl.handle.net/10755/621444
Category:
Full-text
Format:
Text-based Document
Type:
Poster
Level of Evidence:
N/A
Research Approach:
N/A
Title:
Factors Predicting Readmission Among Coronary Artery Disease
Author(s):
Polsook, Rapin; Aungsuroch, Yupin
Lead Author STTI Affiliation:
Pi Omega
Author Details:
Rapin Polsook, PhD, RN, Professional Experience: Cardiovascular nursing,Adult Nursing, and Critical care nursing 2013-Factor influencing medication adherence among Thai post-myocardial infarction patients.INDEN at Prague 2013-Factor predicting medication adherence among Thai post-myocardial infarction patients.24th international nursing research congress at Prague 2014-Psychometric testing of Self-efficacy for Appropriate Medication Use Scale (SEAMS) among Thai post-myocardial infarction patients.25th international nursing research congress at Hong Kong Author Summary: Pol.Capt Dr. Rapin Polsook is a lecturer of Faculty of Nursing, Chulalongkorn University. I had an experience to taking care cardiovascular patient about 8 years (CCU). I am teaching adulty nursing and conduct researches related to Cardiovascular nursing and Critical care nursing.
Abstract:

Purpose: Coronary artery disease is a serious, chronic, progressive of symptom, unpredictable exacerbation, and incurable medical condition that are a major cause of mobility, mortality, and high readmission rates. Especially heart failure and myocardial infarction are growing epidemic and affects many people world wild. Hospital readmissions for heart failure and myocardial infarction are a major clinical problem and associated financial burden. Additionally, readmission in the hospital is a drain on the health care system and recognized as a maker of quality of care and a significant contributor to rising health care cost. Despite the fact that readmission is a marker of quality of care, prior studies have found that readmission rates vary between 15 % and 30% respectively, within 30 to 60 days post-discharge and between 25 % and 50 % within 6 months after the first hospitalization as well as increasing 80% within one year and account for approximately 70% of the health care cost. Various reasons are given for readmission, such as other medical health problems, nonadherence to health recommendations such as medication adherence, diet, fluid restriction, emotional or mental factors such as pain anxiety, depression, substance abuse and cognitive disorder, environment, and inadequate discharge planning. Thus, readmission remains an important health problem which is frequent, costly, and life threatening event were associated with quality of care. So, the purpose of the study was to examine the predictive ability between selected factors and readmission among Thai coronary artery disease patients.

Methods: A descriptive –correlational study was conducted to examine whether the potential factors can predict readmission among coronary artery disease. A total 77 patient with heart failure and myocardial infarction were recruited from all regions of Thailand. The participants who met the inclusion criteria were approached and requested to participate in the study, creating a purposive sample. All research instruments used showed adequate validity and reliability. Preliminary data analysis was analyzed using descriptive statistic and multiple regressions.

Results: The overall regression model shown Multiple R (.465) and R2 (.216), followed by the adjusted R2 (.161) and the standard error of estimate (1.946). Five factors were correlated with readmission (R=0.216), explaining 21.6% of the variance of the criterion variables. The overall F ratio for this analysis was 3.919 (df=5,71, p=0.003). Thus, the independent variables as a group were significantly correlated with the dependent variable, readmission. The coefficient for depression was significant beyond the .05 level which is consistent with other literature. Co-mobility, symptom severity, social support, and quality of life were not significant.

Conclusion: The preliminary analysis examined the predictive ability between selected factors and readmission and found that only one predictor- depression explained readmission among Thai with coronary artery disease patients. However, the influence of depression on readmission in this preliminary data analysis was consistent with previous studies.

Keywords:
Thailand; Coronary Artery Disease; Readmission
Repository Posting Date:
7-Jun-2017
Date of Publication:
7-Jun-2017
Other Identifiers:
INRC17PST160
Conference Date:
2017
Conference Name:
28th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International
Conference Location:
Dublin, Ireland
Description:
Event Theme: Influencing Global Health Through the Advancement of Nursing Scholarship

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.type.categoryFull-texten
dc.formatText-based Documenten
dc.typePosteren
dc.evidence.levelN/Aen
dc.research.approachN/Aen
dc.titleFactors Predicting Readmission Among Coronary Artery Diseaseen_US
dc.contributor.authorPolsook, Rapinen
dc.contributor.authorAungsuroch, Yupinen
dc.contributor.departmentPi Omegaen
dc.author.detailsRapin Polsook, PhD, RN, Professional Experience: Cardiovascular nursing,Adult Nursing, and Critical care nursing 2013-Factor influencing medication adherence among Thai post-myocardial infarction patients.INDEN at Prague 2013-Factor predicting medication adherence among Thai post-myocardial infarction patients.24th international nursing research congress at Prague 2014-Psychometric testing of Self-efficacy for Appropriate Medication Use Scale (SEAMS) among Thai post-myocardial infarction patients.25th international nursing research congress at Hong Kong Author Summary: Pol.Capt Dr. Rapin Polsook is a lecturer of Faculty of Nursing, Chulalongkorn University. I had an experience to taking care cardiovascular patient about 8 years (CCU). I am teaching adulty nursing and conduct researches related to Cardiovascular nursing and Critical care nursing.en
dc.identifier.urihttp://hdl.handle.net/10755/621444-
dc.description.abstract<p><strong>Purpose: </strong><span>Coronary artery disease is a serious, chronic, progressive of symptom, unpredictable exacerbation, and incurable medical condition that are a major cause of mobility, mortality, and high readmission rates. Especially heart failure and myocardial infarction are growing epidemic and affects many people world wild. Hospital readmissions for heart failure and myocardial infarction are a major clinical problem and associated financial burden. Additionally, readmission in the hospital is a drain on the health care system and recognized as a maker of quality of care and a significant contributor to rising health care cost. Despite the fact that readmission is a marker of quality of care, prior studies have found that readmission rates vary between 15 % and 30% respectively, within 30 to 60 days post-discharge and between 25 % and 50 % within 6 months after the first hospitalization as well as increasing 80% within one year and account for approximately 70% of the health care cost. Various reasons are given for readmission, such as other medical health problems, nonadherence to health recommendations such as medication adherence, diet, fluid restriction, emotional or mental factors such as pain anxiety, depression, substance abuse and cognitive disorder, environment, and inadequate discharge planning. Thus, readmission remains an important health problem which is frequent, costly, and life threatening event were associated with quality of care. So, the purpose of the study was to examine the predictive ability between selected factors and readmission among Thai coronary artery disease patients.</span></p> <p><strong>Methods: </strong>A descriptive –correlational study was conducted to examine whether the potential factors can predict readmission among coronary artery disease. A total 77 patient with heart failure and myocardial infarction were recruited from all regions of Thailand. The participants who met the inclusion criteria were approached and requested to participate in the study, creating a purposive sample. All research instruments used showed adequate validity and reliability. Preliminary data analysis was analyzed using descriptive statistic and multiple regressions.</p> <p><strong>Results: </strong>The overall regression model shown Multiple R (.465) and R<sup>2</sup> (.216), followed by the adjusted R<sup>2</sup> (.161) and the standard error of estimate (1.946). Five factors were correlated with readmission (<em>R</em><sup>2 </sup>=0.216), explaining 21.6% of the variance of the criterion variables. The overall F ratio for this analysis was 3.919<em> (df=5,71, p=0.003</em>). Thus, the independent variables as a group were significantly correlated with the dependent variable, readmission. The coefficient for depression was significant beyond the .05 level which is consistent with other literature. Co-mobility, symptom severity, social support, and quality of life were not significant.</p> <p><strong>Conclusion: </strong>The preliminary analysis examined the predictive ability between selected factors and readmission and found that only one predictor- depression explained readmission among Thai with coronary artery disease patients. However, the influence of depression on readmission in this preliminary data analysis was consistent with previous studies.</p>en
dc.subjectThailanden
dc.subjectCoronary Artery Diseaseen
dc.subjectReadmissionen
dc.date.available2017-06-07T13:35:31Z-
dc.date.issued2017-06-07-
dc.date.accessioned2017-06-07T13:35:31Z-
dc.conference.date2017en
dc.conference.name28th International Nursing Research Congressen
dc.conference.hostSigma Theta Tau Internationalen
dc.conference.locationDublin, Irelanden
dc.descriptionEvent Theme: Influencing Global Health Through the Advancement of Nursing Scholarshipen
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.