A meta-analysis of the association between caregiver burden and the dependent’s illness

Rodríguez-González, Ana-María; Rodríguez-Míguez, Eva

doi:10.1080/08952841.2019.1700728

Cited by 19 publications

(15 citation statements)

References 49 publications

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“…Although these 2 caregiving factors negatively impact caregivers’ self-care [ 5 ], our findings suggest that they may not be relevant to caregivers’ decisions about whether to adopt mHealth apps for self-management. The median time spent caring in our sample (18.3 hours) was lower than the US population average for dementia caregivers (26.3 hours) [ 1 ], although our sample had high levels of burden (mean ZBI score of 21), which reflects the findings of other researchers [ 49 , 71 , 72 ]. Nevertheless, our sample consisted of middle-aged and well-educated caregivers.…”

Section: Discussionsupporting

confidence: 71%

Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study

Mendez

Budhathoki

Labrique

et al. 2021

JMIR Mhealth Uhealth

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Background In the United States, nearly 80% of family caregivers of people with dementia have at least one chronic condition. Dementia caregivers experience high stress and burden that adversely affect their health and self-management. mHealth apps can improve health and self-management among dementia caregivers with a chronic condition. However, mHealth app adoption by dementia caregivers is low, and reasons for this are not well understood. Objective The purpose of this study is to explore factors associated with dementia caregivers’ intention to adopt mHealth apps for chronic disease self-management. Methods We conducted a cross-sectional, correlational study and recruited a convenience sample of dementia caregivers. We created a survey using validated instruments and collected data through computer-assisted telephone interviews and web-based surveys. Before the COVID-19 pandemic, we recruited dementia caregivers through community-based strategies, such as attending community events. After nationwide closures due to the pandemic, the team focused on web-based recruitment. Multiple logistic regression analyses were used to test the relationships between the independent and dependent variables. Results Our sample of 117 caregivers had an average age of 53 (SD 17.4) years, 16 (SD 3.3) years of education, and 4 (SD 2.5) chronic conditions. The caregivers were predominantly women (92/117, 78.6%) and minorities (63/117, 53.8%), experienced some to extreme income difficulties (64/117, 54.7%), and were the child or child-in-law (53/117, 45.3%) of the person with dementia. In logistic regression models adjusting for the control variables, caregiver burden (odds ratio [OR] 1.3, 95% CI 0.57-2.8; P=.57), time spent caregiving per week (OR 1.7, 95% CI 0.77-3.9; P=.18), and burden of chronic disease and treatment (OR 2.3, 95% CI 0.91-5.7; P=.08) were not significantly associated with the intention to adopt mHealth apps. In the final multiple logistic regression model, only perceived usefulness (OR 23, 95% CI 5.6-97; P<.001) and the interaction term for caregivers’ education and burden of chronic disease and treatment (OR 31, 95% CI 2.2-430; P=.01) were significantly associated with their intention to adopt mHealth apps. Perceived ease of use (OR 2.4, 95% CI 0.67-8.7; P=.18) and social influence (OR 1.8, 95% CI 0.58-5.7; P=.31) were not significantly associated with the intention to adopt mHealth apps. Conclusions When designing mHealth app interventions for dementia caregivers with a chronic condition, it is important to consider caregivers’ perceptions about how well mHealth apps can help their self-management and which app features would be most useful for self-management. Caregiving factors may not be relevant to caregivers’ intention to adopt mHealth apps. This is promising because mHealth strategies may overcome barriers to caregivers’ self-management. Future research should investigate reasons why caregivers with a low education level and low burden of chronic disease and treatment have significantly lower intention to adopt mHealth apps for self-management.

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Section: Discussionsupporting

confidence: 71%

Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study

Mendez

Budhathoki

Labrique

et al. 2021

JMIR Mhealth Uhealth

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“…Elderly caregivers still cared for even older care receivers, who were not necessarily affected by a specific disease (e.g., Alzheimer’s or other dementias). The age of ICs may be a protective factor against the burden [ 16 , 49 ]; however, the explanatory models showed chronic respiratory diseases and other chronic illnesses may play an essential role in ICs wellbeing. Comorbidities and the aging of ICs are not included in ICs instruction courses; therefore, the physical conditions of ICs have been left out of caregiver educational plans and research but determines their wellbeing as ICs.…”

Section: Discussionmentioning

confidence: 99%

“…Caregiver research has concentrated on care-receivers diseases [ 11 , 12 , 13 ]. A recent meta-analysis suggested that the burden of ICs based on specific care-receiver diseases made sense in two groups: mental illness and physical impairment [ 49 ]. Furthermore, the conceptual model of the caregiver burden emerged from the case of dementia, and thereafter has not been adapted (e.g., by adding more general items) to ICs’ general conditions [ 50 ].…”

Section: Discussionmentioning

confidence: 99%

A Comprehensive Assessment of Informal Caregivers of Patients in a Primary Healthcare Home-Care Program

Rodrigo-Baños

Moral-Pairada

Paz

2021

IJERPH

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Studies of the characteristics of informal caregivers and associated factors have focused on care-receiver disease or caregiver social and psychological traits; however, an integral description may provide better understanding of informal caregivers’ problems. A multicenter cross-sectional study in primary healthcare centers was performed in Barcelona (Spain). Participants were a random sample of informal caregivers of patients in a home-care program. Primary outcomes were health-related quality of life and caregiver burden, and related factors were sociodemographic data, clinical and risk factors, social support and social characteristics, use of healthcare services, and care receivers’ status. In total, 104 informal caregivers were included (mean age 68.25 years); 81.73% were female, 54.81% were retired, 58.65% had high comorbidity, and 48.08% of care receivers had severe dependence. Adjusted multivariate regression models showed health-related quality of life and the caregivers’ burden were affected by comorbidity, age, time of care, and dependency of care receiver, while social support and depression also showed relative importance. Aging, chronic diseases, and comorbidity should be included when explaining informal caregivers’ health status and wellbeing. The effectiveness of interventions to support informal caregivers should comprehensively evaluate caregivers when designing programs, centering interventions on informal caregivers and not care receivers’ conditions.

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“…A meta-analysis of 125 studies by Rodriguez-Gonzales and Rodríguez-Míguez [29] showed that caregivers of individuals with a physical disability have an estimated mean ZCBS score of 27. The lower score in this study might be due to the shorter duration of care in the hospital and the potential for recovery in the patients who receive care.…”

Section: Discussionmentioning

confidence: 99%

“…Each of the statements is answered using a Likert-type scale, with scores ranging from 0 to 4 (never, rarely, sometimes, quite frequently, and nearly always). The composite score was then calculated, and the burden was graded as follows: little or no burden (≤20), mild burden (21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40), moderate to severe burden (41-60), and severe burden (>61-88). The ZCBS has good internal consistency reliability, with a Cronbach's alpha coefficient of .92.…”

Section: Methodsmentioning

confidence: 99%

The Health of Companions: Evaluation of Care Burden, Psychological Distress and Psychiatric Disorders of the Companions of Patients in the Medical Ward of a University Hospital

Acar¹,

Akdeniz²,

Kavukçu³

et al. 2021

cjm

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The aim of this study was to evaluate the care burden, psychological distress, and psychiatric disorders of the companions of adult patients in the hospital. This study is a cross-sectional descriptive study. The study questionnaire included a sociodemographic information form, the Zarit Caregiver Burden Scale (ZCBS), and the Brief Symptom Inventory (BSI) were administered to the companions. Simple descriptive and inferential statistics were performed. The Mann-Whitney U test was used when there was no normal distribution. Correlation coefficients and statistical significance were calculated by using the Spearman test for at least one non-normal distributed relationship. A multiple linear regression analysis was performed for determining factors associated with BSI scores. The type 1 error level was used as 5% for statistical significance. All p-values of less than .05 were considered significant. Three hundred companions were included in the study. An emotional commitment was the leading cause of companionship. The mean values of the companions' ZCBS and BSI scores were 20.2 and 34.4, respectively. There was a moderately positive correlation (r = .50) between the ZCBS and BSI scores, and it was found to be statistically significant. ZCBS scores were positively associated with BSI scores. Psychological distress increases as the care burden of companions increases. Companions need more assistance from health care institutions, family members, and the community. The support of health workers and family members reduced the companions' care burden and psychological distress. Physicians working in the hospital should take into account that companions may be hidden patients.

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A meta-analysis of the association between caregiver burden and the dependent’s illness

Cited by 19 publications

References 49 publications

Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study

Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study

A Comprehensive Assessment of Informal Caregivers of Patients in a Primary Healthcare Home-Care Program

The Health of Companions: Evaluation of Care Burden, Psychological Distress and Psychiatric Disorders of the Companions of Patients in the Medical Ward of a University Hospital

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