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Record W3195869900 · doi:10.1186/s13012-021-01151-x

Sustained effects of the INFORM cluster randomized trial: an observational post-intervention study

2021· article· en· W3195869900 on OpenAlexafffundabout
Matthias Hoben, Liane Ginsburg, Peter Norton, Malcolm Doupe, Whitney Berta, James W. Dearing, Janice Keefe, Carole A. Estabrooks

Bibliographic record

VenueImplementation Science · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMount Saint Vincent UniversityUniversity of ManitobaUniversity of TorontoPublic Health OntarioYork UniversityUniversity of CalgaryUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsPsychological interventionObservational studyNursing researchMedicineNursingHealth administrationContext (archaeology)Cluster randomised controlled trialHealth services researchRandomized controlled trialIntervention (counseling)FidelityHealth informaticsLong-term careCluster (spacecraft)Health carePublic health

Abstract

fetched live from OpenAlex

BACKGROUND: Numerous studies have examined the efficacy and effectiveness of health services interventions. However, much less research is available on the sustainability of study outcomes. The purpose of this study was to assess the lasting benefits of INFORM (Improving Nursing Home Care Through Feedback On perfoRMance data) and associated factors 2.5 years after removal of study supports. INFORM was a complex, theory-based, three-arm, parallel cluster-randomized trial. In 2015-2016, we successfully implemented two theory-based feedback strategies (compared to a simple feedback approach) to increase nursing home (NH) care aides' involvement in formal communications about resident care. METHODS: Sustainability analyses included 51 Western Canadian NHs that had been randomly allocated to a simple and two assisted feedback interventions in INFORM. We measured care aide involvement in formal interactions (e.g., resident rounds, family conferences) and other study outcomes at baseline (T1, 09/2014-05/2015), post-intervention (T2, 01/2017-12/2017), and long-term follow-up (T3, 06/2019-03/2020). Using repeated measures, hierarchical mixed models, adjusted for care aide, care unit, and facility variables, we assess sustainability and associated factors: organizational context (leadership, culture, evaluation) and fidelity of the original INFORM intervention. RESULTS: We analyzed data from 18 NHs (46 units, 529 care aides) in simple feedback, 19 NHs (60 units, 731 care aides) in basic assisted feedback, and 14 homes (41 units, 537 care aides) in enhanced assisted feedback. T2 (post-intervention) scores remained stable at T3 in the two enhanced feedback arms, indicating sustainability. In the simple feedback group, where scores were had remained lower than in the enhanced groups during the intervention, T3 scores rose to the level of the two enhanced feedback groups. Better culture (β = 0.099, 95% confidence interval [CI] 0.005; 0.192), evaluation (β = 0.273, 95% CI 0.196; 0.351), and fidelity enactment (β = 0.290, 95% CI 0.196; 0.384) increased care aide involvement in formal interactions at T3. CONCLUSIONS: Theory-informed feedback provides long-lasting improvement in care aides' involvement in formal communications about resident care. Greater intervention intensity neither implies greater effectiveness nor sustainability. Modifiable context elements and fidelity enactment during the intervention period may facilitate sustained improvement, warranting further study-as does possible post-intervention spread of our intervention to simple feedback homes.

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)0.043
metaresearch head score (Gemma)0.075
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 score0.043
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.075
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.122
GPT teacher head0.535
Teacher spread0.413 · 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

Citations28
Published2021
Admission routes3
Has abstractyes

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