Evidence map›Paper›PMID 37071864›Full record

ArticleInvestigacion y educacion en enfermeria2023

Validation into Spanish of a Scale to Detect the Post-intensive Care Syndrome.

Mario Andrés Narváez Martínez, Ángela María Henao Castaño

Open access · diamondAbstract read
In one paragraph

Article in Investigacion y educacion en enfermeria, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
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

2 authors at 1 institution in 1 country.

Mario Andrés Narváez MartínezNurse, Master's. Fundación Cardioinfantil - Instituto de Cardiología, Bogotá Colombia. E-mail: manarvaezma@unal.edu.co.
Ángela María Henao CastañoNurse, Universidad Nacional de Colombia; Bogotá Colombia PhD. E-mail: angmhenaocas@unal.edu.co.
Universidad Nacional de Colombia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis work sought to validate the Spanish version of the scale Healthy Aging Brain-Care Monitor (HABC-M) scale as clinical tool to detect the Post-intensive Care Syndrome.

methodsPsychometric study, conducted in adult intensive care units from two high-complexity university hospitals in Colombia. The sample was integrated by 135 survivors of critical diseases with mean age of 55 years. The translation of the HABC-M was carried out through transcultural adaptation, evaluating content, face, and construct validity and determining the scale's reliability.

resultsA replica was obtained of the HABC-M scale in its version into Spanish, semantically and conceptually equivalent to the original version. The construct was determined through confirmatory factor analysis (CFA), evidencing a three-factor model comprised of the subscales: cognitive (6 items), functional (11 items), and psychological (10 items), with a confirmatory factor index (CFI) of 0.99, a Tucker Lewis index (TLI) of 0.98, and an approximate root-mean-square error (RMSE) of 0.073 (90% CI: 0.063 - 0.084). Internal consistency was determined through Cronbach's alpha coefficient, obtaining 0.94, (95% CI 0.93 - 0.96).

conclusionsThe Spanish of the HABC-M scale is a tool with adequate psychometric properties, validated and reliable to detect the Post-intensive Care Syndrome.

Indexed as

TranslationsAdultCritical IllnessHumansMiddle AgedPsychometricsReproducibility of ResultsSurveys and Questionnairescritical carepatient health questionnairepsychometricssurvivorssyndrome

Identifiers

PMID37071864
PMCPMC10152917
OpenAlexW4361253713

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.