Evidence map›Paper›PMID 34132242›Full record

ArticleAnales del sistema sanitario de Navarra2021

[Design and validation of a complex case evaluation index].

M L Ruiz-Miralles, M Richart-Martínez, S García-Sanjuán, J Gallud Romero, M J Cabañero-Martínez

Open access · diamondAbstract read
In one paragraph

Article in Anales del sistema sanitario de Navarra, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

M L Ruiz-MirallesDepartamento de Enfermería. Facultad Ciencias de la Salud. Universidad de Alicante.. luisa.ruiz@ua.es.
M Richart-Martínez
S García-Sanjuán
J Gallud Romero
M J Cabañero-Martínez
University of Alicante · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim was to develop and validate the Complex Case Assessment Index (CCAI), a specific instrument to identify complex patients.

methodsInstrumental study in two phases: 1) Development of the scale: the variables extracted from the literature were firstly defined and operationalized, and then submitted for expert judgment. The CCAI included 14 variables divided into two dimensions: complexity of clinical management and complexity of community management. 2) Psychometric study: evaluation of the reliability and validity of the scale by equivalence between observers (Pearson's r), criterion validity with respect to the Clinical Risk Groups (CRG) classification system, and construct validity through known groups and study of hierarchical clusters were examined. The analyses were carried out with the SPSS version 17 statistical package.

resultsReliability by equivalence between observers was r?=?0.97 for the clinical subscale, r?=?0.74 for the community subscale, and r?=?0.89 for the total score. The CCAI identified 518 cases as complex; 458 of them (88.4%) were categorized by the CRG system in the categories of greatest clinical complexity (levels 6 to 9). The results support the construct validi-ty of the scale. The cluster analysis showed two different, although related, clusters.

conclusionThe CCAI is a fast and easy-to-use index, with good conceptual adequacy and evidence of reliability and validity for screening patients with complex needs.

Indexed as

Reproducibility of ResultsHumansPsychometricsSurveys and Questionnaires

Identifiers

PMID34132242
PMCPMC10019549
OpenAlexW3169696866

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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.