The cardiac rehabilitation inventory a new method of tailoring patient support
Journal of Cardiovascular Nursing, ISSN: 1550-5049, Vol: 31, Issue: 2, Page: 175-185
2016
- 11Citations
- 88Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations11
- Citation Indexes11
- 11
- CrossRef4
- Captures88
- Readers88
- 84
Article Description
Background: Uptake and adherence to cardiac rehabilitation (CR) are low, and a contributing factor to this may be the practical difficulties of providing a tailored CR environment suited to individual preferences and needs. Objective: The aim of this study was to develop and test a short questionnaire that CR practitioners can use to understand individual patient need and tailor support accordingly. Methods: A conceptual framework of engagement in CR was derived from a comprehensive literature review and the content analysis of semistructured interviews with 15 CR patients. The conceptual framework was used to construct the first version of the Cardiac Rehabilitation Inventory (CRI), which comprised 42 items. Responses on the CRI were measured using a 5-point Likert scale. The CRI was administered to 380 phase III and IV CR patients, and factor analysis (FA) was used to identify salient CR engagement factors. Results: The simplest structure found using FA was three 6-item subscales that all had good levels of internal consistency (Cronbach's !) and were labeled (a) outcome anxiety, ! = .726; (2) process anxiety, ! = .724; and (3) autonomy, ! = .653. The 3-factor CRI model was verified using confirmatory FA (CMin/df = 3.2, root-mean-square error of approximation = 0.073). Attenders were found to have higher levels of outcome anxiety than nonattenders (P G .001), and precontemplator nonattenders were found to have lower autonomy compared with attenders (P G .001). Standard multiple regression analysis indicated outcome anxiety was a strong predictor of CR intentions (r2 = 0.716), followed by autonomy (r 2 = 0.110) and process anxiety (r2 = 0.031). Conclusions: The CRI is a reliable method of measuring CR outcome anxiety, process anxiety, and autonomy. These CRI measurements provide rehabilitation practitioners with valuable information that can help provide individual tailored support.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84958974343&origin=inward; http://dx.doi.org/10.1097/jcn.0000000000000220; http://www.ncbi.nlm.nih.gov/pubmed/25829135; http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00005082-201603000-00013; https://journals.lww.com/00005082-201603000-00013; https://dx.doi.org/10.1097/jcn.0000000000000220; https://journals.lww.com/jcnjournal/Abstract/2016/03000/The_Cardiac_Rehabilitation_Inventory__A_New_Method.13.aspx
Ovid Technologies (Wolters Kluwer Health)
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