Understanding the influence of urban- or
rural-living on cardiac patients' decisions about diet and physical activity: descriptive decision modeling.
Int J Nurs Stud 2013;
50:1513-23. [PMID:
23597917 DOI:
10.1016/j.ijnurstu.2013.03.003]
[Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2012] [Revised: 02/23/2013] [Accepted: 03/05/2013] [Indexed: 11/24/2022]
Abstract
BACKGROUND
It is challenging to assist people to attend to risk factors for coronary artery disease (CAD). There is potential for cultural elements associated with place of residence (i.e., urban- or rural-living) to have an effect on peoples' decision-making about managing CAD risk.
AIM
To better understand patient's decision-making processes regarding having a heart-healthy diet and engaging in regular physical activity (major CAD risk factors), and the potential influence of urban- or rural-living.
METHODS
Based on a previous series of qualitative interviews with 42 cardiac patients (21 urban-living, 21 rural-living), hierarchical decision-models regarding eating a heart-healthy diet and engaging in regular physical activity were developed, and a survey based on the decision-models generated. The models were then tested for 'fit' with another group of 42 cardiac patients, and were revised to make them more parsimonious. The final models were tested with a novel group of 647 CAD patients from Alberta, Canada (327 urban-living, 320 rural-living). The primary analysis was focused on determining the extent to which patients completing the survey fell in the correct behavioral group. Thereafter individual nodes were examined to determine decision-making constructs that were different between urban- and rural-living patients.
RESULTS
When tested, the models had overall accuracy of 93.5% for diet and 97.5% for physical activity. The most salient model nodes that led to differing behavioral outcomes reflected these constructs: perception of control over health; time, effort, or competing priorities; receipt of appropriate information; and appeal of the activity.
CONCLUSIONS
This information is potentially useful to assist healthcare providers to: (1) understand patients' decisions regarding their cardiac risk factor modification behavior, and (2) better direct conversations about risk factor modification and educational activities.
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