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Record W3047704376 · doi:10.1186/s13643-020-01423-5

Indicators of home-based hospitalization model and strategies for its implementation: a systematic review of reviews

2020· review· en· W3047704376 on OpenAlex
Christiane Pereira Martins Casteli, Gisèle Irène Claudine Mbemba, Serge Dumont, Clémence Dallaire, Lucille Juneau, Élisabeth Martin, Marie-Claude Laferrière, Marie‐Pierre Gagnon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSystematic Reviews · 2020
Typereview
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsQuebec Network for Research on AgingUniversité Laval
FundersCanadian Institutes of Health ResearchUniversité Laval
KeywordsMedicinePsychosocialNursingThematic analysisSystematic reviewPopulationQualitative researchMEDLINEEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Home-based hospitalization (HBH) offers an alternative delivery model to hospital care. There has been a remarkable increase in pilot initiatives and deployment of this model to optimize services offered to a population with a variety of progressive and chronic diseases. Our objectives were to systematically summarize the indicators of HBH as well as the factors associated with the successful implementation and use of this model. METHODS: We used a two-stage process. First, five databases were consulted, with no date delimitation. We included systematic reviews of quantitative, qualitative, and mixed studies published in English, French, Spanish, or Portuguese. We followed guidance from PRISMA and the Cochrane Collaboration. Second, we used the Nursing Care Performance Framework to categorize the indicators, a comprehensive grid of barriers and facilitators to map the factors affecting HBH implementation, and a thematic synthesis of the qualitative and quantitative findings. RESULTS: Fifteen reviews were selected. We identified 26 indicators related to nursing care that are impacted by the use of HBH models and 13 factors related to their implementation. The most frequently documented indicators of HBH were cost of resources, problem and symptom management, comfort and quality of life, cognitive and psychosocial functional capacity, patient and caregiver satisfaction, hospital mortality, readmissions, and length of stay. Our review also highlighted new indicators, namely use of hospital beds, new emergency consultations, and use of healthcare services as indicators of resources of cost, and bowel complications, caregiver satisfaction, and survival time as indicators of change in the patient's condition. The main facilitators for HBH implementation were related to internal organizational factors (multidisciplinary collaboration and skill mix of professionals) whereas barriers were linked to the characteristics of the HBH, specifically eligibility criteria (complexity and social situation of the patient). CONCLUSION: To the best of our knowledge, this is the first review that synthesizes both the types of indicators associated with HBH and the factors that influence its implementation. Considering both the processes and outcomes of HBH will help to identify strategies that could facilitate the implementation and evaluation of this innovative model of care delivery. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018103380.

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.

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0240.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.409
Teacher spread0.319 · 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