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Record W1240359962 · doi:10.1016/j.pmedr.2015.07.001

Impact of a chronic disease self-management program on healthcare utilization in eastern Ontario, Canada

2015· article· en· W1240359962 on OpenAlexaffabout
Clare Liddy, Sharon Johnston, Sara J. T. Guilcher, Hannah Irving, Matthew Hogel, Susan Jaglal

Bibliographic record

VenuePreventive Medicine Reports · 2015
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsInstitute for Clinical Evaluative SciencesUniversity Health NetworkUniversity of TorontoToronto Rehabilitation InstituteCanadian Institute for Health InformationSt. Michael's HospitalBruyèreUniversity of Ottawa
Fundersnot available
KeywordsEmergency departmentMedicineChronic diseaseMarital statusHealth careMultivariate analysisFamily medicineDiseaseGerontologyPopulationEnvironmental healthNursingInternal medicine

Abstract

fetched live from OpenAlex

This study aims to examine patients' patterns of health care utilization before and after participation in a Chronic Disease Self-Management Program (CDSMP). We conducted a pre-post study using health care administrative data from 186 individuals in the Ottawa region who participated in our CDSMP between September 2009 and January 2011. We collected the number of general practitioner/specialist visits, planned/unplanned emergency department visits, and hospitalizations, measured 6 months and 1 year before and after participation in the CDSMP. Multivariate analysis was performed to identify associations between patient characteristics and pre-post CDSMP health care utilization. CDSMP participation showed no effect on number of physician visits, hospitalizations, or emergency department visits. Individuals with > 5 chronic conditions were more likely to visit a physician and the emergency department following the CDSMP than those with 1 chronic condition. Among individuals > 61 years of age, those with the marital status widowed were more likely to visit their physician and the emergency department following the CDSMP than married individuals. To conclude, the CDSMP appeared not to decrease health care utilization. Low baseline utilization rates, short-term follow-ups, and a relatively healthy patient population may have contributed to the program's low impact.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.764

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.044
GPT teacher head0.360
Teacher spread0.316 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2015
Admission routes2
Has abstractyes

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