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Record W4392512012 · doi:10.2196/53255

Family Involvement in the Care of Hospitalized Older Adults: Protocol for a Qualitative Evidence Synthesis

2024· article· en· W4392512012 on OpenAlexvenueno aff
Judith B. Vick, Blair P. Golden, Sarah Cantrell, Melissa Harris, Mollie R Selmanoff, Susan N. Hastings, Tolu O. Oyesanya, Karen M. Goldstein, Courtney H. Van Houtven

Bibliographic record

VenueJMIR Research Protocols · 2024
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
FundersNational Institute of Nursing ResearchNational Institute on AgingU.S. Department of Veterans Affairs
KeywordsQualitative researchProtocol (science)GerontologyMedicinePsychologyFamily medicineAlternative medicineSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Older adults are frequently hospitalized. Family involvement during these hospitalizations is incompletely characterized in the literature. OBJECTIVE: This study aimed to better understand how families are involved in the care of hospitalized older adults and develop a conceptual model describing the phenomenon of family involvement in the care of hospitalized older adults. METHODS: We describe the protocol of a qualitative evidence synthesis (QES), a systematic review of qualitative studies. We chose to focus on qualitative studies given the complexity and multifaceted nature of family involvement in care, a type of topic best understood through qualitative inquiry. The protocol describes our process of developing a research question and eligibility criteria for inclusion in our QES based on the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, and Research type) tool. It describes the development of our search strategy, which was used to search MEDLINE (via Ovid), Embase (via Elsevier), PsycINFO (via Ovid), and CINAHL Complete (via EBSCO). Title and abstract screening and full-text screening will occur sequentially. Purposive sampling may be used depending on the volume of studies identified as eligible for inclusion during our screening process. Descriptive data regarding included individual studies will be extracted and summarized in tables. The results from included studies will be synthesized using qualitative methods and used to develop a conceptual model. The conceptual model will be presented to community members via engagement panels for further refinement. RESULTS: As of September 2023, we have assembled a multidisciplinary team including physicians, nurses, health services researchers, a librarian, a social worker, and a health economist. We have finalized our search strategy and executed the search, yielding 8862 total citations. We are currently screening titles and abstracts and anticipate that full-text screening, data extraction, quality appraisal, and synthesis will be completed by summer of 2024. Conceptual model development will then take place with community engagement panels. We anticipate submitting our manuscript for publication in the fall of 2024. CONCLUSIONS: This paper describes the protocol for a QES of family involvement in the care of hospitalized older adults. We will use identified themes to create a conceptual model to inform further intervention development and policy change. TRIAL REGISTRATION: PROSPERO 465617; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023465617. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/53255.

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)0.161
metaresearch head score (Gemma)0.150
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.161
Threshold uncertainty score0.850

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1610.150
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0070.008
Bibliometrics0.0110.011
Science and technology studies0.0060.005
Scholarly communication0.0070.008
Open science0.0070.009
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0680.010

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 head0.555
GPT teacher head0.675
Teacher spread0.120 · 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 designSystematic review
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

Citations0
Published2024
Admission routes1
Has abstractyes

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