Evidence map›Paper›PMID 38898162›Full record

ArticleCulture, medicine and psychiatry2024

Patient Perceptions of Illness Causes and Treatment Preferences for Obsessive-Compulsive Disorder: A Mixed-Methods Study.

Neil Krishan Aggarwal, Shima Sadaghiyani, Schahryar Kananian, Peter Lam, Gabrielle Messner, Clara Marincowitz, Madhuri Narayan, Alan Campos Luciano, Anton J L M van Balkom, Dianne Hezel and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Culture, medicine and psychiatry, 2024. 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. 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

15 authors.

Neil Krishan AggarwalDepartment of Psychiatry, Columbia University Irving Medical Center, Columbia University, New York, USA. neil.aggarwal@nyspi.columbia.edu.ORCID http://orcid.org/0000-0001-9430-0861
Shima SadaghiyaniNew York State Psychiatric Institute, New York, USA.
Schahryar KananianDepartment of Clinical Psychology and Psychotherapy, Goethe University, Frankfurt, Germany.
Peter LamNew York State Psychiatric Institute, New York, USA.
Gabrielle MessnerNew York State Psychiatric Institute, New York, USA.
Clara MarincowitzSA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Stellenbosch, Stellenbosch, South Africa.
Madhuri NarayanDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Alan Campos LucianoDepartment and Institute of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Anton J L M van BalkomDepartment of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Dianne HezelNew York State Psychiatric Institute, New York, USA.
Christine LochnerSA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Stellenbosch, Stellenbosch, South Africa.
Roseli Gedanke ShavittObsessive-Compulsive Spectrum Disorders Program, LIM-23, Instituto de Psiquiatria do Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Odile A van den HeuvelDepartment of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Blair SimpsonDepartment of Psychiatry, Columbia University Irving Medical Center, Columbia University, New York, USA.
Roberto Lewis-FernándezDepartment of Psychiatry, Columbia University Irving Medical Center, Columbia University, New York, USA.

Funding

Identifying Reproducible Brain Signatures of Obsessive-Compulsive ProfilesR01MH113250 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI SIMPSON, HELEN BLAIR, WALL, MELANIE M · 2017 to 2021
$4.2M
NIMH NIH HHS R01 MH113250
6 · The paper itself

Abstract

Obsessive-compulsive disorder (OCD) is a condition with high patient morbidity and mortality. Research shows that eliciting patient explanations about illness causes and treatment preferences promotes cross-cultural work and engagement in health services. These topics are in the Cultural Formulation Interview (CFI), a semi-structured interview first published in DSM-5 that applies anthropological approaches within mental health services to promote person-centered care. This study focuses on the New York City site of an international multi-site study that used qualitative-quantitative mixed methods to: (1) analyze CFI transcripts with 55 adults with OCD to explore perceived illness causes and treatment preferences, and (2) explore whether past treatment experiences are related to perceptions about causes of current symptoms. The most commonly named causes were circumstantial stressors (n = 16), genetics (n = 12), personal psychological traits (n = 9), an interaction between circumstantial stressors and participants' brains (n = 6), and a non-specific brain problem (n = 6). The most common treatment preferences were psychotherapy (n = 42), anything (n = 4), nothing (n = 4), and medications (n = 2). Those with a prior medication history had twice the odds of reporting a biological cause, though this was not a statistically significant difference. Our findings suggest that providers should ask patients about illness causes and treatment preferences to guide treatment choice.

Indexed as

Obsessive-Compulsive DisorderPatient PreferenceAdultFemaleHumansMaleMiddle AgedNew York CityPsychotherapyQualitative ResearchYoung AdultCultural competenceCultural formulation interviewCultural psychiatryExplanatory modelsObsessive-compulsive disorder

Identifiers

PMID38898162
PMCPMC13292836

What OpenQuestion holds

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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.