Determinants of Health Information Use for Self-Efficacy in Lifestyle Modification for Chronic Disease Patients
Bibliographic record
Abstract
Objectives – Various efforts are being made to disseminate lifestyle modification information. What is the role of health information in building patients self-efficacy in lifestyle modification? The research examined level of access to lifestyle modification information for patients with chronic diseases in two Federal Government Teaching Hospitals in South East Nigeria. It explored the relationship between self-efficacy and access to lifestyle modification information and also factors that are associated with self-efficacy when patients have access to lifestyle modification information.
 
 Methods – The research is a cross-sectional correlation study that used a questionnaire to collect data. (See Appendix A.) Sample was 784 patients with chronic diseases. Questionnaires were distributed to the patients as they attended clinics in the medical and surgical outpatients’ clinics of the hospitals. 
 
 Results – Findings showed access to lifestyle modification information was significantly and positively correlated with self-efficacy. Multiple Regression analysis suggest that age, type of illness, and length of treatment in the teaching hospitals were associated with self-efficacy when patients have access to lifestyle modification information. 
 
 Conclusion – It will be pertinent that demographic and disease factors are considered when making lifestyle modification information available to patients for greater self-efficacy.
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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 | 0.012 |
| 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 | 0.338 |
| 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".