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Record W2164145771 · doi:10.1186/s40608-014-0019-z

Impact of an integrated obesity management system on patient’s care - research protocol

2014· article· en· W2164145771 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMC Obesity · 2014
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchMinistère de la SantéMinistère de la Santé et des Services sociauxUniversité de Sherbrooke
KeywordsMedicineProtocol (science)Public healthObesityManagement of obesityFamily medicineMedical emergencyAlternative medicineNursingWeight lossPathology

Abstract

fetched live from OpenAlex

BACKGROUND: The majority of obese subjects are treated by primary care physicians (PCPs) who often feel uncomfortable with the management of obesity. In a previous study, we successfully developed, implemented and evaluated an obesity management system based on training and coaching of health professionals of family medicine groups (FMGs) by a team of experts in obesity management. Using a pre/post design, this study suggested a positive impact on health professionals' perceptions and reported obesity care. The current research project is aimed at evaluating the impact on obesity screening and care of this integrated obesity management system. We hypothesize that our program combining preceptorships with a virtual community and on-site coaching will improve: (1) management and weight loss of obese/overweight subjects treated by PCPs for hypertension, type 2 diabetes or impaired glucose tolerance; and (2) screening and initial management of obesity among a regular follow-up group of patients of PCPs who practice in FMGs. METHODS/DESIGN: Ten FMGs will be approached for a practice monitoring project and will be randomised to receive the intervention developed in our previous project or will only be provided clinical practice guidelines. In the participating FMGs, we will enrol 22 patients per FMG with weight related targeted disease and 24 patients with regular follow-up. These patients will be evaluated for the care they received regarding screening and/or management of obesity using medical chart reviews, and will fill out a questionnaire on their lifestyle and satisfaction. They will also be examined for anthropometric measures, vital signs, blood markers for chronic diseases and physical fitness. The same patients will be assessed again after 18 months. The impact of the program on health professionals will be evaluated at baseline, and at 1 year. Qualitative data will also be collected from both professional and patient participants. Direct and indirect costs and QALYs will be evaluated as indicators of cost-effectiveness. DISCUSSION: In the context of the dramatic increase in obesity prevalence and the low perception of PCPs' self-efficacy, providing efficient strategies to PCPs and interdisciplinary health care teams for management of obesity is crucial. TRIAL REGISTRATION: Clinicaltrials.gov Identifier: NCT00991640.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.146
GPT teacher head0.529
Teacher spread0.383 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it