Identification of factors associated with self-care behaviors using the COM-B model in patients with chronic heart failure

Zou, Huijing; Chen, Yuxia; Fang, Wenzhang; Zhang, Yanting; Fan, Xiaoxi

doi:10.1177/1474515117695722

Cited by 63 publications

(91 citation statements)

References 47 publications

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“…One possible reason is that patients living with family members have more social support, including emotional support, financial assistance and daily care (Sun et al, ; Wang et al, ; Xie et al, ). Earlier studies revealed that social support from family members was linked to lower readmission and higher medication adherence, whereas a lack of social support and living alone was related to psychosocial distress in HF patients (Chamberlain, ; Zou et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…The total score of each subscale is transformed into a centesimal score between 0–100 according to a transform formula from previous studies (Riegel et al, ; Xie et al, ). A score ≥ 70 in each subscale can be used as the cut‐off point to decide self‐care adequacy based on prior studies (Xie et al, ; Zou, Chen, Fang, Zhang, & Fan, ). The schfi v. 6.2 has been translated into Chinese, and its psychometric properties have been confirmed.…”

Section: Methodsmentioning

confidence: 99%

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Rehospitalisation rates and associated factors within 6 months after hospital discharge for patients with chronic heart failure: A longitudinal observational study

2019

Journal of Clinical Nursing

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Aims and objectives To examine the rate of rehospitalisation within 6 months after hospital discharge for patients with chronic heart failure (CHF) and to investigate the potential factors influencing rehospitalisation. Background The rehospitalisation rates of heart failure (HF) patients show large differences from previous studies. It is not clear whether HF patients readmit due to exacerbation of HF or to comorbidities or other diseases. Although many studies have investigated the factors influencing rehospitalisation of HF patients, the impacts of depression and self‐care on rehospitalisation in this population remain unclear in China. Design A longitudinal observational study was conducted. The study adheres to the STROBE guideline. Methods Four hundred thirty‐two CHF inpatients were recruited by using a convenience sampling method from three tertiary teaching hospitals in Guangzhou, southern China. The scales used included the demographic and clinical questionnaires, the Centre for Epidemiologic Studies Depression Scale, the Self‐Care of Heart Failure Index and the Charlson Comorbidity Index. Data were collected at two time points. A binary logistic regression was employed to determine factors associated with rehospitalisation of HF patients. Results The rehospitalisation rate of CHF patients was 23.6% (n = 102) within 6 months after hospital discharge. Of those patients, 74 (72.6%) were readmitted once, 20 patients (19.6%) were readmitted twice and eight patients (7.8%) were readmitted three times. The results from logistic regression showed that CHF patients who maintained self‐care behaviours (OR = 0.763, p = 0.026) and had better self‐care management (OR = 0.516, p = 0.041) and stronger self‐care confidence (OR = 0.854, p = 0.039) were less likely to readmit. The odds of rehospitalisation were 2.239 times higher in HF patients with depressive symptoms (OR = 2.239, p = 0.013) than in those without these symptoms. Compared to patients living alone, those who lived with family members were less likely to be readmitted to hospital (OR = 0.361, p = 0.048). Conclusions Rehospitalisation commonly occurs in CHF patients within 6 months after hospital discharge in China. A lower level of self‐care, the presence of depressive symptoms and not living with family members are key determinants that influence rehospitalisation for this population. Relevance to clinical practice Effective measures are required to improve CHF patients’ self‐care, reduce depressive symptoms and receive full support from family members.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Rehospitalisation rates and associated factors within 6 months after hospital discharge for patients with chronic heart failure: A longitudinal observational study

2019

Journal of Clinical Nursing

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“…The characteristics of all 20 studies included in this review are detailed in Table 2. Most of the studies were published in the United States (n = 13) (Brega et al, 2012;Chen, 2014;Cho, Lee, Arozullah, & Crittenden, 2008;Como, 2018;Crook et al, 2016;Guo et al, 2014;Hickman, Clochesy, & Alaamri, 2016;Jin, Lee, & Dia, 2019;Osborn, Cavanaugh, et al, 2011;Osborn, Cavanaugh, Wallston, & Rothman, 2010;Osborn, Paasche-Orlow, Bailey, & Wolf, 2011;Schillinger, Barton, Karter, Wang, & Adler, 2006;Soones et al, 2017), with the remaining studies published in China (n = 2) (Sun et al, 2013;Zou, Chen, Fang, Zhang, & Fan, 2017), Taiwan (n = 2) (Hou et al, 2018; Y. J. , Thailand (n = 2) (Intarakamhang & Intarakamhang, 2017;Photharos, Wacharasin, & Duongpaeng, 2018), and South Korea (n = 1) (E. H. Lee, Lee, & Moon, 2016). Study designs included cross-sectional (n = 19) (Brega et al, 2012;Chen, 2014;Cho et al, 2008;Como, 2018;Crook et al, 2016;Guo et al, 2014;Hickman et al, 2016;Hou et al, 2018;Jin et al, 2019;E.…”

Section: Overview Of Studies Includedmentioning

confidence: 99%

“…H. Lee et al, 2016; Y. J. Osborn, Cavanaugh, et al, 2011;Osborn et al, 2010;Osborn, Paasche-Orlow, et al, 2011;Photharos et al, 2018;Schillinger et al, 2006;Soones et al, 2017;Sun et al, 2013;Zou et al, 2017) and mixed methods (n = 1) (Intarakamhang & Intarakamhang, 2017). Sample sizes ranged from 62 to 2,594, with only seven studies calculating sample sizes a priori (Chen, 2014;Como, 2018;Hou et al, 2018;Intarakamhang & Intarakamhang, 2017;E.…”

Section: Overview Of Studies Includedmentioning

confidence: 99%

Empirically Tested Health Literacy Frameworks

Cudjoe¹,

Delva²,

Cajita³

et al. 2020

HLRP: Health Literacy Research and Practice

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Background: Health literacy is a significant determinant of health behaviors, but the pathways through which health literacy influences health behaviors are not completely clear nor consistent. The purpose of this systematic review is to critically appraise studies that have empirically tested the potential pathways linking health literacy to health behavior. Methods: We performed searches of the electronic databases PubMed, Embase, and CINAHL to identify studies that proposed a conceptual framework and empirically tested the proposed mechanism through which health literacy influences certain health behaviors. Twenty eligible studies were included for analysis. Key Results: The 20 studies addressed various health behaviors: chronic disease self-management (n = 8), medication adherence (n = 2), overall health status (n = 4), oral care (n = 1), cancer screening (n = 1), shared decision-making (n = 1), health information sharing (n = 1), physical activity and eating behaviors (n = 1), and emergency department visits (n = 1). Most studies were conducted in the United States (n = 13) and used a cross-sectional design (n = 15). The Short Test of Functional Health Literacy in Adults was commonly used to assess health literacy levels. Selection of variables and their operationalization were informed by a theoretical model in 12 studies. Age, gender, race/ethnicity, and insurance status were reported antecedents to health literacy. The most commonly tested mediators were self-efficacy (n = 8) and disease knowledge (n = 4). Fit indices reported in the studies ranged from acceptable to excellent. Discussion: Current evidence supports self-efficacy as a mediator between health literacy and health behavior. Further research is needed to identify how health literacy interplays with known psychosocial factors to inform people's use of preventive care services. Future studies should include more disadvantaged populations such as immigrants with high disease burden and those with low health literacy. Theory-based, empirically tested health literacy models can serve as the conceptual basis for developing effective health interventions to improve health behaviors and ultimately decrease the burden of disease in such vulnerable populations. [HLRP: Health Literacy Research and Practice. 2020;4(1):e21-e44.] Plain Language Summary: This review systemically compiles, and critically appraises 20 existing studies that test conceptual frameworks that propose potential pathways through which health literacy affects health behaviors. The findings from this review can help inform the development of health literacy-focused interventions to improve the health behaviors of populations with disease burdens.

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“…However, they may lack knowledge on how to monitor and interpret their symptoms, as well as when and where to seek treatment. In addition, they may have limited access to HF services that aid them to actively engage in self-care [10,11]. A scientific statement from the American Heart Association for healthcare professionals (HCP) presents technology as a promising way to support patients' self-care and encourages HCPs to have an active role in the development and use of technology to improve active patient and HCP engagement in patient self-care [12].…”

Section: Introductionmentioning

confidence: 99%

Health Care Professionals’ Perceptions of Home Telemonitoring in Heart Failure Care: Cross-Sectional Survey (Preprint)

Aamodt¹,

Lycholip²,

Čelutkienė³

et al. 2018

Preprint

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Identification of factors associated with self-care behaviors using the COM-B model in patients with chronic heart failure

Cited by 63 publications

References 47 publications

Rehospitalisation rates and associated factors within 6 months after hospital discharge for patients with chronic heart failure: A longitudinal observational study

Rehospitalisation rates and associated factors within 6 months after hospital discharge for patients with chronic heart failure: A longitudinal observational study

Empirically Tested Health Literacy Frameworks

Health Care Professionals’ Perceptions of Home Telemonitoring in Heart Failure Care: Cross-Sectional Survey (Preprint)

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