A Cross-Sectional Survey of Factors Influencing Choice of Medical Care Among Ill Patients Suffering from Chronic Diseases in Ebonyi State, Nigeria
Bibliographic record
Abstract
The cross-sectional survey research design was used to the study the factors influencing choice of medical care among ill patients suffering from chronic diseases in Ebonyi State. The sample of the study comprised 325 in-patients with selected chronic diseases such as diabetics’ mellitus, cardiac and renal diseases who were undergoing treatment at the Federal Teaching Hospital (FETHA 1) Abakaliki. The instrument used for data collection was a 26-item questionnaire developed by the researchers. Data collected were analyzed using percentages in order to describe the data and chi-square (χ2) statistic in order to establish whether there was any significant association between the independent variables of gender and level education attained and the dependent variables, that is, the factors influencing choice of medical care among chronic diseases patients. The results of the study showed that the association between gender and factors influencing choice of medical care is not significant except for culture, employer and strong hope of cure (p < 0.05). Secondly, the association between level of education attained by patients and factors influencing choice of medical care is significant except for finance, access to hospital, relationship with medical personnel and adequacy of hospital facilities (p > 0.05). The need for chronic diseases clinics and hospitals for prompt treatment of chronic diseases patients is advocated.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".