Evidence map›Paper›PMID 40969471›Full record

ReviewFrontiers in psychology2025

Identifying and recommending validated measures to assess depression and anxiety outcomes in the field of arts and health.

Nik Ilya, Jean C J Liu, Kat R Agres

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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.

Nik IlyaCentre for Music and Health, Yong Siew Toh Conservatory of Music, National University of Singapore, Singapore, Singapore.
Jean C J LiuCentre for Evidence and Implementation, Singapore, Singapore.
Kat R AgresCentre for Music and Health, Yong Siew Toh Conservatory of Music, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Interest in the use of arts-based interventions to improve mental health outcomes has been emerging in healthcare and community settings. However, rigorous evaluation and research on the effectiveness of these interventions are still limited. Various resources have been published to encourage an expansion and improvement in the quality of the evidence base in this intersectional field. Yet, many of these resources either stop short of recommending validated outcome measures or provide justifications when they do so, nor do they identify the prevalence of use of these outcome measures. We provide practitioners in the field with recommended measures, identified through a prevalence analysis in the literature, and the associated considerations that practitioners should consider when choosing these scales. Materials and methods: We conducted a two-part literature review to identify depression and anxiety scales suitable for arts and health interventions. The review begins by identifying canonically validated tools used in medical and health research to document depression and anxiety symptoms. The second part of the review documents existing usage rates of each scale in studies involving arts and health interventions across 18 arts domains to provide a state of the field regarding the use of validated tools to assess mental health outcomes. Results: A total of 44 depression and 81 anxiety scales were identified from 31 review papers. The Hospital Anxiety and Depression Scale (HADS) and the Beck Depression Inventory (BDI) emerged as the most widely used scales for measuring depression symptoms. The State-Trait Anxiety Inventory (STAI) was identified as the most frequently used scale for measuring anxiety symptoms. Discussion: We found that the BDI was primarily used to evaluate performing arts interventions, the STAI was used for performing and visual art interventions, and the HADS was widely used across all arts domains. Our findings highlight key measures for the field, and we provide recommendations for their use, supporting arts and health practitioners in moving toward more rigorous evaluation methods.

Indexed as

arts and healthevaluationmental healthrecommendationsvalidated scales

Identifiers

PMID40969471
PMCPMC12442041

What OpenQuestion holds

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LicenceCC BY
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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.