Evidence map›Paper›PMID 32161451›Full record

ArticleClinical interventions in aging2020

Validation of an Instrument for Assessing Elder Care Needs in Iran.

Kavoos Rashidi, Amir Jalali, Nader Salari, Parvin Abbasi

Abstract readValidation Study
In one paragraph

Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Kavoos RashidiDepartment of Psychiatric Nursing, Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID 0000-0001-8754-4235
Amir JalaliSubstance Abuse Prevention Research Center, Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID 0000-0002-0307-879X
Nader SalariDepartment of Biostatistics Department, School of Nursing & Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID 0000-0003-3550-405X
Parvin AbbasiDepartment of Nursing, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID 0000-0002-9752-8244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe notable growth of the senior citizens population has caused problems and concerns in areas like healthcare, social care, and participation in society. The present paper is aimed at validating a Farsi version of the "International classification of functioning, disability, and health" for assessing elderly care needs in Kermanshah, Iran.

methodsThe original version of the tool was translated into Farsi using forward-backward method. The study group consisted of 301 senior citizens who were selected through cluster sampling. Validity of the tool was examined using Waltz and Basel's content validity index, face validity, and confirmatory factor analysis. The reliability of the tool was examined using Cronbach's alpha and internal correlation. Data analyses were performed in SPSS-25 and Amoss-16.

resultsFollowing confirmatory factor analysis, the number of factors decreased from nine to eight. The R

conclusionThe Farsi version of ICF had acceptable and applied specifications to assess the care needs of senior citizens and it can be used as a valid tool in different areas of nursing performance and elderly health.

Indexed as

Persons with DisabilitiesAgedAged, 80 and overFactor Analysis, StatisticalHumansIranNeeds AssessmentPsychometricsReproducibility of ResultsSurveys and QuestionnairesTranslatingelder care needsIranian populationpsychometricreliabilityvalidity

Identifiers

PMID32161451
PMCPMC7050038

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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.