Importance of Predictors of Rehospitalisation in Heart Failure: A Survey of Heart Failure Experts

Betihavas, V; Newton, PJ; Frost, SA; Alexandrou, E; Macdonald, PS; Davidson, PM

Importance of Predictors of Rehospitalisation in Heart Failure: A Survey of Heart Failure Experts

Betihavas, V

Newton, PJ

Frost, SA Alexandrou, E Macdonald, PS

Davidson, PM

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Publication Type:: Journal Article
Citation:: Heart Lung and Circulation, 2013, 22 (3), pp. 179 - 183
Issue Date:: 2013-03-01

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Field	Value	Language
dc.contributor.author	Betihavas, V https://orcid.org/0000-0002-9841-2630	en_US
dc.contributor.author	Newton, PJ https://orcid.org/0000-0002-5006-2037	en_US
dc.contributor.author	Frost, SA	en_US
dc.contributor.author	Alexandrou, E	en_US
dc.contributor.author	Macdonald, PS https://orcid.org/0000-0001-5378-2825	en_US
dc.contributor.author	Davidson, PM https://orcid.org/0000-0003-2050-1534	en_US
dc.date.available	2012-05-17	en_US
dc.date.issued	2013-03-01	en_US
dc.identifier.citation	Heart Lung and Circulation, 2013, 22 (3), pp. 179 - 183	en_US
dc.identifier.issn	1443-9506	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27646
dc.description.abstract	Aims: We investigated the opinion of clinical experts and researchers involved in chronic heart failure disease management regarding the ranking of patient, provider and system factors that predict the risk of rehospitalisation. Methods: Item generation for the online survey was informed by a literature review and current risk prediction models. Consultation with experts was undertaken via a secure online survey platform. Invitations to participate in the 10 question online survey were sent through Listserves of professional nursing and medical associations within Australia and New Zealand. Results: Data were collected in August 2011. A total of 119 respondents completed the survey. Respondents ranged from researchers, registered nurses, cardiologists and allied health personnel. A mean importance score was used to rank risk factors for rehospitalisation. Risk factors that scored high for predicting the risk for rehospitalisation included poor adherence to medications (9.04) and prior hospitalisation for heart failure (8.33). Having private health insurance (4.8) and being female (4.9) scored lower in influencing rehospitalisation for adults with heart failure. Conclusions: No new risk factors were identified from the experts in predicting the risk of rehospitalisation. The survey results will contribute to the development of a nomogram to convey prognostic information related to adults with heart failure that will guide clinicians in management decisions. © 2012 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ).	en_US
dc.relation.ispartof	Heart Lung and Circulation	en_US
dc.relation.isbasedon	10.1016/j.hlc.2012.05.008	en_US
dc.subject.classification	Cardiovascular System & Hematology	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Recurrence	en_US
dc.subject.mesh	Patient Readmission	en_US
dc.subject.mesh	Data Collection	en_US
dc.subject.mesh	Risk Factors	en_US
dc.subject.mesh	Attitude of Health Personnel	en_US
dc.subject.mesh	Sex Factors	en_US
dc.subject.mesh	Insurance, Health	en_US
dc.subject.mesh	Australia	en_US
dc.subject.mesh	New Zealand	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Heart Failure	en_US
dc.subject.mesh	Medication Adherence	en_US
dc.title	Importance of Predictors of Rehospitalisation in Heart Failure: A Survey of Heart Failure Experts	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	22	en_US
utslib.for	1102 Cardiorespiratory Medicine and Haematology	en_US
utslib.for	1117 Public Health and Health Services	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/IMPACCT
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Nursing
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	22	en_US

Abstract:

Aims: We investigated the opinion of clinical experts and researchers involved in chronic heart failure disease management regarding the ranking of patient, provider and system factors that predict the risk of rehospitalisation. Methods: Item generation for the online survey was informed by a literature review and current risk prediction models. Consultation with experts was undertaken via a secure online survey platform. Invitations to participate in the 10 question online survey were sent through Listserves of professional nursing and medical associations within Australia and New Zealand. Results: Data were collected in August 2011. A total of 119 respondents completed the survey. Respondents ranged from researchers, registered nurses, cardiologists and allied health personnel. A mean importance score was used to rank risk factors for rehospitalisation. Risk factors that scored high for predicting the risk for rehospitalisation included poor adherence to medications (9.04) and prior hospitalisation for heart failure (8.33). Having private health insurance (4.8) and being female (4.9) scored lower in influencing rehospitalisation for adults with heart failure. Conclusions: No new risk factors were identified from the experts in predicting the risk of rehospitalisation. The survey results will contribute to the development of a nomogram to convey prognostic information related to adults with heart failure that will guide clinicians in management decisions. © 2012 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ).

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http://hdl.handle.net/10453/27646