Evidence map›Paper›PMID 32670783›Full record

ArticleJournal of obsessive-compulsive and related disorders2018

Predictors of treatment outcome and attrition in adults with hoarding disorder.

Catherine R Ayers, James O E Pittman, Eliza J Davidson, Mary E Dozier, Tina L Mayes, Erin Almklov

Open access · greenAbstract read
In one paragraph

Article in Journal of obsessive-compulsive and related disorders, 2018. 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
1.0field-weighted citation impact, top 20% 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, 11 citations in OpenAlex.

  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

6 authors at 3 institutions in 1 country.

Catherine R AyersResearch Service, VA San Diego Healthcare System, USA.
James O E PittmanMental Healthcare Line, VA San Diego Healthcare System, USA.
Eliza J DavidsonResearch Service, VA San Diego Healthcare System, USA.
Mary E DozierResearch Service, VA San Diego Healthcare System, USA.
Tina L MayesResearch Service, VA San Diego Healthcare System, USA.
Erin AlmklovResearch Service, VA San Diego Healthcare System, USA.
VA San Diego Healthcare System · USMississippi State University · USUniversity of California, San Diego · US

Funding

CSRD VA CDA-2-068-10S
6 · The paper itself

Abstract

While a number of hoarding disorder-specific therapeutic interventions have been developed over recent years, hoarding disorder (HD) remains difficult to treat. The purpose of this investigation is to inform HD treatment efforts by examining factors that influence treatment attrition and treatment response. Secondary data analysis of baseline and post-treatment data from two previously published psychotherapy treatment studies for hoarding were performed to identify predictors of hoarding symptom improvement and treatment attrition in 106 adults with HD. No demographic variables were associated with symptom improvement or treatment attrition. However, higher levels of avoidant coping (i.e., self-distraction combined with behavioral disengagement) significantly predicted symptom improvement. The maintenance stage of change along with high readiness for change also significantly predicted symptom improvement. Participants who dropped from treatment had significantly higher baseline levels of denial and clutter, both of which independently predicted treatment attrition. The findings from this study suggest that emotion-related constructs, such as managing stress and motivation for change, may play an important role in patients' response to and participation in HD treatment.

Indexed as

AttritionExposure therapyHoarding disorder

Identifiers

PMID32670783
PMCPMC7362989
OpenAlexW2968384800

What OpenQuestion holds

Textmetadata
LicenceTDM
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.