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Record W2345903825 · doi:10.1186/s40814-016-0063-1

The Aging, Community and Health Research Unit—Community Partnership Program for older adults with type 2 diabetes and multiple chronic conditions: a feasibility study

2016· article· en· W2345903825 on OpenAlexafffund
Maureen Markle‐Reid, Jenny Ploeg, Kathryn Fisher, Holly Reimer, Sharon Kaasalainen, Amiram Gafni, Andrea Gruneir, Ross Kirkconnell, Sam Marzouk, Noori Akhtar‐Danesh, Lehana Thabane, Carlos Rojas‐Fernandez, Ross Upshur

Bibliographic record

VenuePilot and Feasibility Studies · 2016
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsSt. Joseph’s Healthcare HamiltonUniversity of AlbertaHealth Sciences CentreUniversity of WaterlooMcMaster University
FundersCanadian Institutes of Health ResearchCanada Research ChairsOntario Ministry of Health and Long-Term CareMcMaster University
KeywordsMedicineDescriptive statisticsPsychological interventionGerontologyGeneral partnershipMental healthQuality of life (healthcare)Self-managementFamily medicineNursingPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Few studies have examined the effectiveness of community-based self-management interventions in older adults with type 2 diabetes mellitus (T2DM) and multiple chronic conditions (MCC). The objectives of this study were to examine the feasibility of implementation in practice (primary) and the feasibility of study methods and potential effectiveness (secondary) of the Aging, Community and Health-Community Partnership Program, a new 6-month interprofessional, nurse-led program to promote diabetes self-management in older adults (>65 years) with T2DM and MCC. METHODS: This study used a prospective one-group pre-test/post-test design. Participants were recruited from a specialized diabetes clinic. They received a median of three in-home/clinic visits by certified diabetes educators (CDEs) and attended a median of three group wellness sessions provided by the CDEs in partnership with a community-based seniors' association. The primary outcome was the feasibility of the program (acceptability, fidelity, implementation barriers/facilitators). Secondary outcomes included the feasibility of the study methods (recruitment/retention rates and procedures, eligibility criteria, data collection and analysis methods) and potential effectiveness of the program based on 6-month changes in self-reported outcomes including self-management behavior (diet, exercise, self-monitoring), health status (quality of life, mental health), and costs of service use. Analysis of feasibility outcomes was primarily based on descriptive statistics. The potential effectiveness of the program was explored using different tests, with the results expressed using descriptive statistics and effect estimates (95 % confidence intervals). RESULTS: In total, 45 (88 %) of 51 eligible persons consented to participate. Of these, 37 (82 %) completed the 6-month follow-up. Participants and providers viewed the program as acceptable and feasible. Participants had a higher SF-12 physical component summary score at 6 months compared with baseline (mean score difference 3.0, 95 % CI 0.2-5.8). Median costs for diabetes care increased over 6 months (reflecting inclusion of program costs), while other service costs either decreased or remained unchanged. CONCLUSIONS: This study offers preliminary evidence that the program was feasible to deliver and acceptable to participants and providers. Initial results suggest that the program may improve physical functioning. A randomized controlled trial is feasible, with some adaptations to the program and study methods that were identified from this feasibility study. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT01880476.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.027
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.510
GPT teacher head0.516
Teacher spread0.006 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations31
Published2016
Admission routes2
Has abstractyes

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