Evidence map›Paper›PMID 32429935›Full record

ArticleBMC psychiatry2020

Psychometric properties of the Arabic version of the cardiac depression scale tested on Jordanian patients with cardiovascular diseases.

Ibtisam M Al-Zaru, Audai A Hayajneh, Tariq Al-Dwaikat

Abstract read
In one paragraph

Article in BMC psychiatry, 2020. 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
–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

2 citing papers in PubMed.

  1. Article
  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

3 authors.

Ibtisam M Al-ZaruAdult Health Nursing Department, Faculty of Nursing, Jordan University of Science and Technology, P.O. Box: 3030, Irbid, 22110, Jordan.
Audai A HayajnehAdult Health Nursing Department, Faculty of Nursing, Jordan University of Science and Technology, P.O. Box: 3030, Irbid, 22110, Jordan. aahayajneh@just.edu.jo.ORCID 0000-0002-8141-3530
Tariq Al-DwaikatCommunity and Psychiatric Health Nursing Department, Faculty of Nursing, Jordan University of Science and Technology, P.O. Box: 3030, Irbid, 22110, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Cardiac Depression Scale (CDS) is an instrument to screen for depression, specifically in patients with cardiovascular diseases (CVD). The purpose of this study was to evaluate the psychometric properties of the Arabic version of the CDS in the Jordanian population.

methodA cross-sectional design was used for 304 participants diagnosed with CVD. An exploratory factor analysis (EFA) was performed to explore the underlying structure of the new Arabic version of the CDS tool.

resultsCronbach's alpha for the total scale was 0.87. An EFA suggested a two-factor solution. The first factor has 18 items, measuring "My tolerance" of CVD, and the second factor has seven items, measuring "My activities" in the context of CVD. Based on the EFA simple structure, one item was removed due to its low factor loading (< 0.3). A confirmatory factor analysis (CFA) supported a two-factor model with the root mean square error of approximation (RMSEA = 0.06), comparative fit index (CFI = 0.856), and Tucker-Lewis index (TLI = 0.83) indicating acceptable fit. The Cronbach's alpha values for the first and second factors were 0.86 and 0.84, respectively.

conclusionThe Arabic version of the CDS is a reliable and valid instrument to screen for depression among Jordanian patients with CVD.

Indexed as

PsychometricsTranslationsCardiovascular DiseasesCross-Sectional StudiesDepressionFactor Analysis, StatisticalFemaleHumansJordanMaleMiddle AgedArabicCardiacCardiac depression scaleJordanPsychometric properties

Identifiers

PMID32429935
PMCPMC7238642

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.