Family-integrated diabetes education for individuals with diabetes in South-west Ni-geria
Bibliographic record
Abstract
Objectives: This study aimed to determine the effects of family-integrated diabetes education on diabetes knowthe ledge of patients and family members, as well as its impact on patients' glycosylated haemoglobin (A1C). Design: The design was a two-group Pretest Posttest quasi-experimental. Setting: The study took place at the diabetes clinics of two tertiary hospitals in southwestern Nigeria. Participants: People Living with Diabetes (PLWD) and family members aged 18 years and over and without cognitive impairment were placed, as clusters, into either a control group (CG) or an intervention group (IG) The CG comprised 88 patients and 88 family members while IG comprised 82 patients and 82 family members. Of these, 78 and 74 patients completed the study in CG and IG, respectively. Interventions: PLWD in IG along with their family members were given an educational intervention on diabetes management and collaborative support with an information booklet provided. This was followed by three (3) complimentary Short Messaging Service (SMS). Main outcome measures: A1C and diabetes knowledge. Results: Over half (52.4%) and about a fifth (18.2%) of family members and patients, respectively, had never had diabetes education. There was a statistically significant increase in the knowledge of patients and family members in IG. Unlike CG, the A1C of patients in IG improved significantly at three and six-month post-intervention, (p<0.01). Regression showed an independent effect of family members' knowledge on IG's A1C. Conclusions: Improved family members' diabetes knowledge positively impacted patients' glucose level. There is a need to integrate family members into diabetes care better. Funding: African Doctoral Dissertation Research Fellowship (ADDRF) award offered by the Africa Population and Health Research Center (APHRC) in partnership with the International Development Research Centre.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".