Evidence map›Paper›PMID 36693982›Full record

ArticleScientific reports2023

Development of a clinical tool for rating categories of the ICF Rehabilitation Set in Polish practice.

Agnieszka Wiśniowska-Szurlej, Agnieszka Ćwirlej-Sozańska, Anna Wilmowska-Pietruszyńska, Bernard Sozański

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. 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

4 authors.

Agnieszka Wiśniowska-SzurlejInstitute of Health Sciences, Medical College of Rzeszow University, 35-310, Rzeszow, Poland. agwisniowska@ur.edu.pl.
Agnieszka Ćwirlej-SozańskaInstitute of Health Sciences, Medical College of Rzeszow University, 35-310, Rzeszow, Poland.
Anna Wilmowska-PietruszyńskaFaculty of Medicine, Lazarski University, 02-662, Warsaw, Poland.
Bernard SozańskiInstitute of Medicine, Medical College of Rzeszow University, 35-310, Rzeszow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rehabilitation is considered a key health strategy in the 21st century. The aim of rehabilitation is to optimize the functioning of patients. The International Classification of Functioning, Disability and Health (ICF) is a framework for describing and organizing information on functioning and disability. Current international efforts to implement ICF in rehabilitation practise include the implementation of ICF Core Sets and operationalize ICF tools for clinics. The aim of the study is to create simple, intuitive descriptions and an initial reference guide for the assessment of the ICF Rehabilitation Set in Polish practice. The development of the Polish version of ICF Rehabilitation Set involved the following steps: (1) identification of ICF Rehabilitation Set categories; (2) development simple, intuitive descriptions; (3) the drafting of the rating reference guide by a multidisciplinary panel following the process employed to develop the Japanese version. The Polish version of ICF Rehabilitation Set, the simple, intuitive descriptions for 29 categories and the rating reference guides were successfully developed. The Polish version of ICF Rehabilitation Set proposed by us is a reference framework for the harmonization of existing information on the functioning and disability of people participating in the rehabilitation process.

Indexed as

Disability EvaluationPersons with DisabilitiesActivities of Daily LivingHumansInternational Classification of Functioning, Disability and HealthPoland

Identifiers

PMID36693982
PMCPMC9873704

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Registered trials

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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.