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Record W3112461355 · doi:10.1002/alz.036917

Stakeholder engagement for successful practice change in long‐term care: Evaluating the Feasible and Sustainable Culture Change Initiative (FASCCI) model

2020· article· en· W3112461355 on OpenAlexaff
Sienna Caspar

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsPsychological interventionFidelityStakeholderStakeholder engagementIntervention (counseling)Long-term carePsychologyBehaviour changeCulture changeQualitative propertyNursingTheory of changeMedicineApplied psychologyPublic relationsComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Abstract Background and Objectives Interventions aimed at increasing the provision of relational and person‐centred care in long‐term care (LTC) homes that do not address contextual and system issues most often fail. Promoting positive change in LTC homes requires a multilevel, systems approach. The objective of this study was to evaluate the feasibility and effectiveness of the Feasible and Sustainable Culture Change Initiative (FASCCI) model for change for improving the provision of person‐centred mealtime practices in a LTC home. Methods A single‐group, time series design was used to assess the impact of the FASCCI model for change on outcome measures across four time periods (pre‐intervention, 2‐month, 4‐month and 6‐month follow‐up). Mealtime observations (n=38) using the Mealtime Scan (MTS+) were completed over the course of six‐months in a single dining room. Interviews (n=21) were also conducted to examine treatment fidelity and to ascertain the study participants’ perceptions of the process for making improvements using the FASCCI model. Results We observed increases in care staffs’ capacity to consistently provide relational and person‐centred care during mealtimes. Mealtime environment scores started increasing immediately following the intervention, with statistically significant improvements noted in all mealtime environment scales by six‐months, including the: physical environment (z=‐3.43, p=0.004); social environment (z=‐4.17, p<0.001); relationship‐centred care (z= ‐4.121, p<0.001); and overall quality of dining environment (z= ‐4.08, p<0.001). Analysis of data from qualitative interviews demonstrated that use of the FASCCI model resulted in improved team leadership, communication, and collaborative decision‐making. Conclusions This study offers evidence that the FASCCI model provides a promising approach for improving the provision of relationship‐centred mealtime practices in LTC homes. Our findings reinforce the importance of cultivating and implementing workforce practices that increase staff empowerment and enable and encourage collaborative decision‐making. We found these practices to be essential to the outcomes associated with the improved relationship‐centred care practices that occurred during this study. This is consistent with the small but growing body of evidence demonstrating that staff empowerment has a significant effect on overall quality of resident care.

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)0.088
metaresearch head score (Gemma)0.084
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.463

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0880.084
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0020.001
Science and technology studies0.0030.006
Scholarly communication0.0050.004
Open science0.0030.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.345
GPT teacher head0.464
Teacher spread0.119 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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