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Record W3157884319 · doi:10.1017/s0714980821000052

Multispecialty Interprofessional Team Memory Clinics: Enhancing Collaborative Practice and Health Care Providers’ Experience of Dementia Care

2021· article· en· W3157884319 on OpenAlexaff
Linda Lee, Frank Molnar, Loretta M. Hillier, Tejal Patel, Karen Slonim

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2021
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of WaterlooOttawa HospitalHamilton Health SciencesUniversity of OttawaMcMaster UniversityCentre for Family Medicine
Fundersnot available
KeywordsDementiaEnthusiasmHealth careNursingPerceptionPrideMedicineMemory clinicPsychologyFamily medicineDisease

Abstract

fetched live from OpenAlex

This study explored whether working within Multispecialty INterprofessional Team (MINT) memory clinics has an impact on health care professionals' perceptions of the challenges, attitudes, and level of collaboration associated with providing dementia care. Surveys were completed by MINT memory clinic members pre- and 6-months post-clinic launch. A total of 228 pre-and-post-training surveys were matched for analysis. After working in the MINT memory clinics for 6 months, there were significant reductions in mean ratings of the level of challenge associated with various aspects of dementia care, and significant increases in the frequency with which respondents experienced enthusiasm, inspiration, and pride in their work in dementia care and in ratings of the extent of collaboration for dementia care. This study provides some insights into the effect of collaborative, interprofessional approaches on health care professionals' perceptions of the challenges and attitudes associated with providing dementia care and level of collaboration with other health professionals.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.368
Teacher spread0.351 · 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.

Study designQualitative
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

Citations20
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicInterprofessional Education and CollaborationFrench-language works237,207