Evidence map›Paper›PMID 42335145›Full record

ArticlePloS one2026

Design and validation of an integrated meta-instrument for nursing assessment in home hospitalization: A study protocol.

Paula Barrué-García, Irene Llagostera-Reverter, Águeda Cervera-Gasch, Aurora Esteve-Clavero, María Jesús Valero-Chillerón, Víctor Ortiz-Mallasén, Marta Aquilué-Ballarín, David Luna-Aleixos, María Sánchez-Galán, Víctor M González Chordá and 1 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Paula Barrué-GarcíaNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.ORCID https://orcid.org/0000-0001-5181-1311
Irene Llagostera-ReverterNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.ORCID https://orcid.org/0000-0001-6722-0356
Águeda Cervera-GaschNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.
Aurora Esteve-ClaveroHospital General Universitario de Castellón (FISABIO), Castellón de la Plana, Castellón, Spain.
María Jesús Valero-ChillerónNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.
Víctor Ortiz-MallasénNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.ORCID https://orcid.org/0000-0002-3038-9411
Marta Aquilué-BallarínNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.
David Luna-AleixosNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.
María Sánchez-GalánNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.
Víctor M González ChordáNursing Research Group (GIENF-241), Nursing Department, Universitat Jaume I. Castelló, Castelló de la Plana, Spain.
VALENF-HAD Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital-at-home (HaH) programs provide an effective and safe alternative to conventional hospitalization, particularly for patients with multimorbidity or complex chronic conditions. In this setting, nursing assessment plays a key role, given the intermittent nature of care and the limited presence of other professionals. However, nursing documentation in HaH remains challenging because of organizational heterogeneity, fragmented records, and the coexistence of multiple assessment tools that create redundancy and compromise information quality. The overall objective of this study is to develop and validate a meta-instrument (VALENF-HAD) that integrates the assessment of functional capacity, pressure injury risk, fall risk, frailty, nutritional status, and sleep quality in patients admitted to hospital-at-home units on the basis of the analysis of other validated measurement instruments used in nursing assessment.

methodsA multicentre, cross-sectional study will be conducted in four public hospitals in Castellón Province, Spain. Participants will include adults (≥18 years) admitted to HaH units. Sociodemographic and care-related variables, along with risk-related variables, will be collected using the following instruments: functional capacity (Barthel Index and Lawton & Brody Scale), risk of pressure injuries (Braden Scale), risk of falls (STRATIFY Scale), frailty (FRAIL questionnaire), nutritional status (Nutritional Screening Initiative tool), and sleep quality (Athens Insomnia Scale). The development process of the meta-instrument consists of four phases: (I) analysis of instruments, constructs, and items; (II) meta-instrument design; (III) initial validation; and (IV) determination of clinimetric properties. DISCUSSION: This study is expected to produce a parsimonious and specific meta-instrument for hospital-at-home settings that is capable of integrating functional, nutritional, sleep, fall risk, frailty, and pressure injury assessments. Its implementation will enhance the quality and standardization of nursing documentation, reduce administrative workload, facilitate early risk detection, and free up time for direct patient care. Ultimately, this study will contribute to advancing evidence-based nursing practices in home hospitalization.

Indexed as

Geriatric AssessmentHospitalizationAccidental FallsCross-Sectional StudiesFemaleHumansNutritional StatusSpain

Identifiers

PMID42335145
PMCPMC13289892

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.