Barriers to accessing healthcare among women in Ghana: a multilevel modelling
Bibliographic record
Abstract
BACKGROUND: Women's health remains a global public health concern, as enshrined in the Sustainable Development Goals. This study, therefore, sought to assess the individual and contextual factors associated with barriers to accessing healthcare among women in Ghana. METHODS: The study was conducted among 9370 women aged 15-49, using data from the 2014 Ghana Demographic and Health Survey. Barrier to healthcare, derived from four questions- whether a woman faced problems in getting money, distance, companionship, and permission to see a doctor-was the outcome variable. Descriptive and multilevel logistic regression analyses were carried out. The fixed effect results of the multilevel logistic regression analyses were reported using adjusted odds ratios at a 95% confidence interval. RESULTS: More than half (51%) of the women reported to have at least one form of barrier to accessing healthcare. Women aged 45-49 (AOR = 0.65, CI: 0.49-0.86), married women (AOR = 0.71, CI:0.58-0.87), those with a higher level of education (AOR = 0.51, CI: 0.37-0.69), those engaged in clerical or sales occupation (AOR = 0.855, CI: 0.74-0.99), and those who were covered by health insurance (AOR = 0.59, CI: 0.53-0.66) had lower odds of facing barriers in accessing healthcare. Similarly, those who listened to radio at least once in a week (AOR =0.77, CI: 0.66-0.90), those who watched television at least once a week (AOR = 0.75, CI: 0.64-0.87), and women in the richest wealth quintile (AOR = 0.47, CI: 0.35-0.63) had lower odds of facing barriers in accessing healthcare. However, women who were widowed (AOR = 1.47, CI: 1.03-2.10), those in the Volta Region (AOR 2.20, CI: I.38-3.53), and those in the Upper West Region (AOR =2.22, CI: 1.32-3.74) had the highest odds of facing barriers to healthcare accessibility. CONCLUSION: This study shows that individual and contextual factors are significant in predicting barriers in healthcare access in Ghana. The factors identified include age, marital status, employment, health insurance coverage, frequency of listening to radio, frequency of watching television, wealth status, and region of residence. These findings highlight the need to pay critical attention to these factors in order to achieve the Sustainable Development Goals 3.1, 3.7, and 3.8. It is equally important to strengthen existing strategies to mitigate barriers to accessing healthcare among women in Ghana.
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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 | 0.000 | 0.001 |
| 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".