System, institutional, and client-level factors associated with formal healthcare utilisation among older adults with low income under a social protection scheme in Ghana
Bibliographic record
Abstract
BACKGROUND: In sub-Saharan African context, effect of system, institutional and client-level factors on formal healthcare utilisation among older adults with low income, especially those under a social protection scheme (called Livelihood Empowerment against Poverty [LEAP] programme) is least explored in the literature. However, an adequate understanding of how these factors contribute to formal healthcare utilisation among older adults who are classified as poor (in terms of low income) is important to inform health policy decisions. The aim of this study, therefore, was to examine the contributions of system, institutional and client-level factors in formal healthcare utilisation among older adults with low income under the LEAP programme in Ghana. METHODS: Data associated with this study were obtained from an Ageing, Health, Lifestyle and Health Services survey conducted between 1 and 20 June 2018 (N = 200) in the Atwima Nwabiagya Municipal and Atwima Nwabiagya North District of Ghana. Multivariable logistic regressions were used to determine system, institutional and client-level factors associated with formal healthcare utilisation among older adults with low income under the LEAP programme in Ghana. The significance of the test was set at a probability value of 0.05 or below. RESULTS: The study revealed that participants who relied on the LEAP programme and/or health insurance subscription to cater for their healthcare expenses (AOR: 11.934, CI: 1.151-123.777), those whose family/caregivers decided on when and where to use formal healthcare (AOR:12.409; CI: 2.198-70.076) and those who did not encounter communication problem with healthcare providers (AOR: 1.358; CI: 1.074-3.737) were significantly more likely to utilise formal healthcare services compared with their counterparts. The study further found that participants who perceived the attitude of healthcare providers as poor (AOR: 0.889; CI: 0.24-0.931) and those who spent 20-40 minutes at the healthcare facility were significantly less likely to utilise formal healthcare services compared with their counterparts (AOR: 0.070; CI: 0.006-0.195). CONCLUSION: Our findings suggest that reducing waiting time at healthcare facilities, improving social protection and/or health insurance schemes, improving patient-doctor communication and promoting attitudinal change programmes (such as orientations and supportive supervision) for healthcare providers may help to facilitate the use of needed formal healthcare services by older adults with low income in Ghana.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".