Caregiver burden and health-related quality of life: A study of informal caregivers of older adults in Ghana
Bibliographic record
Abstract
BACKGROUND: Similar to many developing countries, caregiver burden remains high in Ghana which may affect informal caregivers of older adults' health-related quality of life (HRQoL). However, no study has examined the association between caregiver burden and HRQoL among informal caregivers of older adults in Ghana to date. Understanding this association may well help to inform health and social policy measures to improve HRQoL among informal caregivers of older adults in Ghana. Situated within a conceptual model of HRQoL, the purpose of this study was to examine the relationship between caregiver burden and HRQoL among informal caregivers of older adults in Ghana. METHODS: We obtained cross-sectional data from informal caregiving, health, and healthcare (N = 1853) survey conducted between July and September 2022 among caregivers (≥ 18 years) of older adults (≥ 50 years) in the Ashanti Region of Ghana. The World Health Organization Impact of Caregiving Scale was used to measure caregiver burden. An 8-item short form Health Survey scale developed by the RAND Corporation and the Medical Outcomes Study was used to measure HRQoL. Generalized Linear Models were employed to estimate the association between caregiver burden and HRQoL. Beta values and standard errors were reported with a significance level of 0.05 or less. RESULTS: The mean age of the informal caregivers was 39.15 years and that of the care recipients was 75.08 years. In our final model, the results showed that caregiver burden was negatively associated with HRQoL (β = - .286, SE = .0123, p value = 0.001). In line with the conceptual model of HRQoL, we also found that socio-economic, cultural, demographic and healthcare factors were significantly associated with HRQoL. For instance, participants with no formal education (β = -1.204, SE= .4085, p value = 0.01), those with primary level of education (β = -2.390, SE= .5099, p value = 0.001) or junior high school education (β = -1.113, SE= .3903, p value= 0.01) had a significantly decreased HRQoL compared to those with tertiary level of education. Participants who were between the ages of 18-24 (β = 2.960, SE= .6306, p value=0.001), 25-34 (β = 1.728, SE= .5794, p value = 0.01) or 35-44 (β = 1.604, SE= .5764, p value= 0.01) years significantly had increased HRQoL compared to those who were 65 years or above. Also, participants who did not utilize healthcare services in the past year before the survey significantly had increased HRQoL compared to those who utilized healthcare services five or more times in the past year (β = 4.786, SE=. 4610, p value= 0.001). CONCLUSION: Consistent with our hypothesis, this study reported a significant negative association between caregiver burden and HRQoL. Our findings partially support the conceptual model of HRQoL used in this study. We recommend that health and social policy measures to improve HRQoL among informal caregivers of older adults should consider caregiver burden as well as other significant socio-economic, cultural, demographic, and healthcare factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".