Behavioral Programs for Type 1 Diabetes Mellitus
Bibliographic record
Abstract
BACKGROUND: Whether behavioral approaches for self-management programs benefit individuals with type 1 diabetes mellitus is unclear. PURPOSE: To determine the effects of behavioral programs for patients with type 1 diabetes on behavioral, clinical, and health outcomes and to investigate factors that might moderate effect. DATA SOURCES: 6 electronic databases (1993 to June 2015), trial registries and conference proceedings (2011 to 2014), and reference lists. STUDY SELECTION: 36 prospective, controlled studies involving participants of any age group that compared behavioral programs with usual care, active controls, or other programs. DATA EXTRACTION: One reviewer extracted and another verified data. Two reviewers assessed quality and strength of evidence (SOE). DATA SYNTHESIS: Moderate SOE showed reduction in glycated hemoglobin (HbA1c) at 6 months after the intervention compared with usual care (mean difference, -0.29 [95% CI, -0.45 to -0.13] percentage points) and compared with active controls (-0.44 [CI, -0.69 to -0.19] percentage points). At the end of the intervention and 12-month follow-up or longer, there were no statistically significant differences in HbA1c (low SOE) for comparisons with usual care or active control. Compared with usual care, generic quality of life at program completion did not differ (moderate SOE). Other outcomes had low or insufficient SOE. Adults appeared to benefit more for glycemic control at program completion (-0.28 [CI, -0.57 to 0.01] percentage points) than did youth (-0.12 [CI, -0.43 to 0.19] percentage points). Program intensity appeared not to influence effectiveness; some individual delivery appears beneficial. LIMITATIONS: All studies had medium or high risk of bias. There was scarce evidence for many outcomes. CONCLUSION: Behavioral programs for type 1 diabetes offer some benefit for glycemic control, at least at short-term follow-up, but improvement for other outcomes has not been shown. (PROSPERO registration number: CRD42014010515). PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality. (PROSPERD registration number: CRD42014010515).
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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 | 0.011 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".