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Record W4312069079 · doi:10.1371/journal.pone.0278767

Protocol for a mixed methods feasibility and implementation study of a community-based integrated care model for home-dwelling older adults: The INSPIRE project

2022· article· en· W4312069079 on OpenAlexaff
Olivia Yip, María José Mendieta, Leah L. Zullig, Andreas Zeller, Sabina De Geest, Mieke Deschodt, Flaka Siqeca, Franziska Zúñiga, Matthias Briel, Matthias Schwenkglenks, Carlos Beat Quinto, Suzanne Dhaini

Bibliographic record

VenuePLoS ONE · 2022
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsMcMaster UniversityImpact
FundersVelux StiftungEuropean CommissionU.S. Department of Veterans AffairsSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsProtocol (science)MedicineGerontologyComputer scienceAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Evaluations of integrated care models for home-dwelling frail older adults have shown inconclusive results on health and service outcomes. However, limited research has focused on the implementation of integrated care models. Applying implementation science methods may facilitate uptake of integrated care models, thus generating positive outcomes e.g., reduced hospital admissions. This paper describes the protocol to assess the feasibility of an integrated care model (featuring a four-step comprehensive geriatric assessment: screening, a multi-dimensional assessment, a coordinated individualized care plan and follow-up) designed for a new community-based center for home-dwelling older adults in Switzerland. The study includes the following objectives: 1) to assess implementation by a) monitoring respondents to the outreach strategies and describing the Center's visitors; b) assessing implementation outcomes related to the care model (i.e., adoption, acceptability, feasibility, fidelity) and implementation processes related to collaboration; and 2) assessing implementation costs. METHODS: For objective 1a, we will use a descriptive design to assess respondents to the outreach strategies and describe the Center's visitors. We will use a parallel convergent mixed methods design for objective 1b. Implementation outcomes data will be collected from meetings with the Center's staff, interviews with older adults and their informal caregivers, and reviewing older adults' health records at the Center. Implementation processes related to collaboration will be assessed through a questionnaire to external collaborators (e.g., GPs) towards the end of the study. For objective 2, implementation costs will be calculated using time-driven activity-based costing methods. Data collection is anticipated to occur over approximately six months. DISCUSSION: This study of a contextually adapted integrated care model will inform adaptations to the outreach strategies, care model and implementation strategies in one community center, prior to evaluating the care model effectiveness and potentially scaling out the intervention. TRIAL REGISTRATION: Feasibility study registration ID with clinicaltrials.gov: NCT05302310; registration ID with BMC: ISRCTN12324618.

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)0.156
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.156
Threshold uncertainty score0.823

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1560.111
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0050.004
Science and technology studies0.0060.004
Scholarly communication0.0040.004
Open science0.0050.005
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0710.018

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 head0.205
GPT teacher head0.445
Teacher spread0.240 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations7
Published2022
Admission routes1
Has abstractyes

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