Path analysis of influencing factors of outpatient cardiac rehabilitation program participation of patients with coronary heart disease in Shanghai

doi:10.3969/j.issn.1674-8115.2022.08.016

Abstract

Abstract:

Objective ·To understand the current situation of outpatient cardiac rehabilitation participation of patients with coronary heart disease (CHD) in Shanghai and explore its influencing factors. Methods ·From October to December 2017, by using the convenience sampling method, a cross-sectional study was conducted to obtain information of CHD patients who visited the cardiovascular outpatient departments from 7 tertiary hospitals in Shanghai, concerning sociodemographics, Chinese/Mandarin Cardiac Rehabilitation Barriers Scale (CRBS-C/M) and Cardiac Rehabilitation Information Awareness Questionnaire (CRIAQ). The viarate analysis and Spearman analysis were applied to correlation analysis and the structural equation model was applied to path analysis. Results ·A total of 273 questionnaires were distributed and 234 valid questionnaires were collected with the effective rate of recovery at 85.7%. The average age of the respondents was (66.78±10.42) years. Only 17 (7.26%) patients self-reported that they participated in the outpatient cardiac rehabilitation at least once after discharge. There was no significant difference in participation rates in different sociodemographics. The Spearman correlation analysis demonstrated that cardiac rehabilitation information awareness, perceived cardiac rehabilitation barriers, and participation in outpatient cardiac rehabilitation were significantly correlated (all P=0.000). Path analysis showed that the cardiac rehabilitation information had a direct promoting effect on the behavior of participating in outpatient cardiac rehabilitation (β=0.384, P=0.000), and could also be partially mediated by cardiac rehabilitation barriers. Conclusion ·Regarding the patients with CHD, the awareness of cardiac rehabilitation information can directly promote their participation in outpatient cardiac rehabilitation, and can also partially alleviate the adverse effect of perceived cardiac rehabilitation barriers. Health care providers should start with improving patients' cardiac rehabilitation information and adopt various forms of health education to improve their cardiac rehabilitation cognition and overcome perceived cardiac rehabilitation barriers. Ultimately, the participation in outpatient cardiac rehabilitation programs will be facilitated for patients with CHD.

Key words: coronary heart disease (CHD), cardiac rehabilitation, information, barrier

CLC Number:

LIU Xia, WEN Fule, ZHANG Yaqing. Path analysis of influencing factors of outpatient cardiac rehabilitation program participation of patients with coronary heart disease in Shanghai[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(8): 1110-1115.

Figures/Tables 4

TrendMD

References 21

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Item	Score	Maximum
CRIAQ	47.56±12.26	93
CRBS-C/M	3.05 （2.67， 3.43）	5
External logistical factor	3.50 （3.00， 4.00）	5
Comorbidities/functional status	3.00 （2.50， 3.50）	5
Program and health system-level factor	3.00 （2.33， 3.67）	5
CR need	3.00 （2.33， 3.50）	5
Time conflict	3.00 （2.00， 3.50）	5

Item	Score	Maximum
CRIAQ	47.56±12.26	93
CRBS-C/M	3.05 （2.67， 3.43）	5
External logistical factor	3.50 （3.00， 4.00）	5
Comorbidities/functional status	3.00 （2.50， 3.50）	5
Program and health system-level factor	3.00 （2.33， 3.67）	5
CR need	3.00 （2.33， 3.50）	5
Time conflict	3.00 （2.00， 3.50）	5

Model	χ²	df	CFI	TLI	WRMR	RMSEA （90%CI）
Measurement	23.167	13	0.958	0.932	0.468	0.058 （0.012‒0.095）
Recommendation	‒	‒	>0.90	>0.90	≤1.00	<0.08

Model	χ²	df	CFI	TLI	WRMR	RMSEA （90%CI）
Measurement	23.167	13	0.958	0.932	0.468	0.058 （0.012‒0.095）
Recommendation	‒	‒	>0.90	>0.90	≤1.00	<0.08

Model	χ²	df	CFI	TLI	WRMR	RMSEA （90%CI）
Structural	18.832	13	0.976	0.962	0.526	0.044 （0‒0.084）
Recommendation	‒	‒	>0.90	>0.90	≤1.00	<0.08