Evidence map›Paper›PMID 41063155›Full record

ArticleBioPsychoSocial medicine2025

Validation of single and combined screening tools for the detection of poststroke mood disorders in acute stroke patients in Singapore.

Matthew H S Ng, Lai Gwen Chan

Abstract read
In one paragraph

Article in BioPsychoSocial medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Matthew H S NgRehabilitation Research Institute of Singapore, Precision Rehabilitation, 11 Mandalay Road, #14-03 Clinical Science Building, Singapore, 308232, Singapore.
Lai Gwen ChanDepartment of Psychiatry, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore. clgwen@yahoo.com.sg.ORCID http://orcid.org/0000-0003-3553-1525

Funding

Rehabilitation Research Institute of Singapore RRG3/19006/CG001
6 · The paper itself

Abstract

objectiveScreening tools such as the Patient Healthcare Questionnaire (PHQ) and Hospital Anxiety and Depression Scale (HADS) are useful for detecting poststroke depression (PSD). However, validation of these tools has yet to be conducted in the Singapore stroke population.

methodA total of 138 adults were administered the HADS and both two- and nine-item versions of the PHQ. Receiver operating characteristic (ROC) analyses were utilized to validate these scales against the gold standard diagnosis of PSD through the Structured Clinical Interview for DSM-IV (SCID-IV).

resultsAll the tools examined in this study had good convergent validity (rs = 0.55-0.89) and discriminative power (Area Under Curve: 0.849-0.887). The optimal cut-off scores were ≥ 7 for the HADS depression and anxiety subscales, ≥ 10 for the total score, ≥ 2 for the PHQ-2 and ≥ 8 for the PHQ-9. Additional analyses suggest that the use of both the PHQ and the HADS in specific combinations further improved diagnostic performance.

conclusionBoth the PHQ and the HADS are acceptable tools for screening for poststroke depression in Singaporean inpatient rehabilitation care settings. Furthermore, our findings lead us to recommend using PHQ-9 with HADS-A for superior screening performance at sensitivity = 83.33%, specificity = 88.33%, positive predictive value = 51.72%, and negative predictive value = 97.25%.

Indexed as

Poststroke depressionRehabilitationScreeningSingaporeStrokeValidation

Identifiers

PMID41063155
PMCPMC12506412

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