Evidence map›Paper›PMID 37027453›Full record

ArticlePloS one2023

The use of culturally adapted and translated depression screening questionnaires with South Asian haemodialysis patients in England.

Shivani Sharma, Sam Norton, Kamaldeep Bhui, Roisin Mooney, Emma Caton, Tarun Bansal, Clara Day, Andrew Davenport, Neill Duncan, Philip A Kalra and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
2.3field-weighted citation impact, top 12% 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, 14 citations in OpenAlex.

  1. Article
  2. Mental health and kidney disease.Nature reviews. Nephrology · 2026
    Review
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

16 authors at 12 institutions in 1 country.

Shivani SharmaSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.ORCID 0000-0002-7682-2858
Sam NortonPsychology Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
Kamaldeep BhuiDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Roisin MooneySchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Emma CatonSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Tarun BansalRenal Medicine, Bradford Teaching Hospitals, NHS Foundation Trust, Bradford, United Kingdom.
Clara DayRenal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.
Andrew DavenportCentre for Nephrology, Division of Medicine, Royal Free and University College Hospital Medical School, London, United Kingdom.
Neill DuncanDivision of Renal Medicine and Transplantation, Imperial College Healthcare NHS Trust, London, United Kingdom.
Philip A KalraDepartment of Renal Medicine, Salford Royal NHS Foundation Trust, Salford, United Kingdom.
Maria Da Silva-GaneQueen Elizabeth Renal Unit, Lister Hospital, East and North Hertfordshire NHS Trust, Stevenage, United Kingdom.
Gurch RandhawaInstitute for Health Research, University of Bedfordshire, Luton, United Kingdom.
Graham WarwickJohn Walls Renal Unit, Leicester General Hospital, Leicester, United Kingdom.
David WellstedSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Magdi YaqoobBarts Health NHS Trust, London, United Kingdom.
Ken FarringtonQueen Elizabeth Renal Unit, Lister Hospital, East and North Hertfordshire NHS Trust, Stevenage, United Kingdom.ORCID 0000-0001-8862-6056
University of Hertfordshire · GBLister Hospital · GBBarts Health NHS Trust · GBBradford Teaching Hospitals NHS Foundation Trust · GBImperial College Healthcare NHS Trust · GBKing's College London · GBLeicester General Hospital · GBSalford Royal NHS Foundation Trust · GBUniversity College Hospital · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Bedfordshire · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is common amongst patients receiving haemodialysis (HD). Assessment and intervention when faced with language and cultural barriers is challenging. To support clinician decisions, we conducted a cross-sectional study to assess the use of culturally adapted and translated versions of commonly-used depression screening questionnaires with South Asian patients receiving HD in England.

methodsPatients completed adapted versions of the Patient Health Questionnaire (PHQ-9), the Centre for Epidemiological Studies Depression Scale Revised (CESD-R), and the Beck Depression Inventory II (BDI-II). All questionnaires were available in Gujarati, Punjabi, Urdu, and Bengali. A comparative sample of white-Europeans completed the questionnaires in English. The research was based across 9 National Health Service (NHS) Trusts in England. Structural validity of translated questionnaires was assessed using confirmatory factor analysis. Diagnostic accuracy was explored in a subgroup of South Asians against ICD-10 categories using the Clinical Interview Schedule Revised (CIS-R) with receiver operating curve (ROC) analysis.

results229 South Asian and 120 white-European HD patients participated. A single latent depression factor largely accounted for the correlations between items of the PHQ-9, CESD-R and BDI-II. Issues with measurement equivalence implied that scores on the translations may not be comparable with the English language versions. Against CIS-R based ICD-10 diagnosis of depression, sensitivity was modest across scales (50-66.7%). Specificity was higher (81.3-93.8%). Alternative screening cut-offs did not improve positive predictive values.

conclusionsCulturally adapted translations of depression screening questionnaires are useful to explore symptom endorsement amongst South Asian patients. However, data indicate that standard cut-off scores may not be appropriate to classify symptom severity. Use of the CIS-R algorithms for optimal case identification requires further exploration in this setting. Strategies to encourage recruitment of under-represented groups in renal research are also warranted, especially for in-depth discussions related to psychological care needs.

Indexed as

DepressionState MedicineCross-Sectional StudiesEnglandHumansMass ScreeningPsychiatric Status Rating ScalesRenal DialysisReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID37027453
PMCPMC10081747
OpenAlexW4362691811

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.