Program Management Model for Health Behavioral Modification in Metabolic Risk of Public Hospitals, Bangkok
Bibliographic record
Abstract
This action research is aimed to investigate the success of the program management for health behavioral modification (HBM) in Metabolic Syndrome (MS) of public hospitals in Bangkok which was granted by the 13th district of National Health Security Office (NHSO), Thailand, for the total of 13 projects. The research process was divided into 3 phases as preparation, monitoring and conclusion phase. Data collection was done in the mid and at the end of the project through a 4-scale questionnaire and biomedical measurement. The project participants were project managers and their supervisors as 30 persons in each group, 120 hospital clients and 3,579 voluntary participants found to be at risk in MS. The research found that 1) the program management model was run completely from the beginning of training course for project managers and his staffs aimed to improve their potentiality in behavior modification based on “3-Self” according to PROMISE Model. Project monitoring was completed by providing at least 5 participation meetings through the project and knowledge sharing among projects 2) During the process of the project, it was found that attitude of clients, project managers and their supervisors towards CIPP Model were at excellent level (Mean = 3.43-3.56) and 3) after the project, it was found that the clients were better in 3 dimensions of health behaviors as increasing of self-efficacy, self-regulation and self-care (p<.05) though decreased in stress level, BMI, weight, waistline, blood pressure, Fasting Blood Sugar, HbA1c Triglyceride and cholesterol (p<.05). Finding from interview revealed that success factors of the program included potentiality of teamwork, cooperation of participants, met-needs activities and the obstacles were less staffs in the project and diversity characteristics of the participants.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".