Evidence map›Paper›PMID 33430650›Full record

ArticlePsychiatric services (Washington, D.C.)2021

Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia.

Nichole Goodsmith, Amy N Cohen, Anthony W P Flynn, Alison B Hamilton, Gerhard Hellemann, Nancy Nowlin-Finch, Alexander S Young

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.5field-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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Nichole GoodsmithDepartment of Veterans Affairs (VA) Center for the Study of Healthcare Innovation, Implementation, and Policy, Health Services Research and Development Service, VA Greater Los Angeles Healthcare System, Los Angeles (Goodsmith, Hamilton); National Clinician Scholars Program, University of California, Los Angeles (UCLA), Los Angeles (Goodsmith); VA Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles (Goodsmith, Young); American Psychiatric Association (Cohen); Department of Counseling Psychology, University of Wisconsin-Madison, Madison (Flynn); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Hamilton, Hellemann, Nowlin-Finch, Young); Los Angeles County Department of Mental Health, Los Angeles (Nowlin-Finch).
Amy N CohenDepartment of Veterans Affairs (VA) Center for the Study of Healthcare Innovation, Implementation, and Policy, Health Services Research and Development Service, VA Greater Los Angeles Healthcare System, Los Angeles (Goodsmith, Hamilton); National Clinician Scholars Program, University of California, Los Angeles (UCLA), Los Angeles (Goodsmith); VA Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles (Goodsmith, Young); American Psychiatric Association (Cohen); Department of Counseling Psychology, University of Wisconsin-Madison, Madison (Flynn); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Hamilton, Hellemann, Nowlin-Finch, Young); Los Angeles County Department of Mental Health, Los Angeles (Nowlin-Finch).
Anthony W P FlynnDepartment of Veterans Affairs (VA) Center for the Study of Healthcare Innovation, Implementation, and Policy, Health Services Research and Development Service, VA Greater Los Angeles Healthcare System, Los Angeles (Goodsmith, Hamilton); National Clinician Scholars Program, University of California, Los Angeles (UCLA), Los Angeles (Goodsmith); VA Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles (Goodsmith, Young); American Psychiatric Association (Cohen); Department of Counseling Psychology, University of Wisconsin-Madison, Madison (Flynn); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Hamilton, Hellemann, Nowlin-Finch, Young); Los Angeles County Department of Mental Health, Los Angeles (Nowlin-Finch).
Alison B HamiltonDepartment of Veterans Affairs (VA) Center for the Study of Healthcare Innovation, Implementation, and Policy, Health Services Research and Development Service, VA Greater Los Angeles Healthcare System, Los Angeles (Goodsmith, Hamilton); National Clinician Scholars Program, University of California, Los Angeles (UCLA), Los Angeles (Goodsmith); VA Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles (Goodsmith, Young); American Psychiatric Association (Cohen); Department of Counseling Psychology, University of Wisconsin-Madison, Madison (Flynn); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Hamilton, Hellemann, Nowlin-Finch, Young); Los Angeles County Department of Mental Health, Los Angeles (Nowlin-Finch).
Gerhard HellemannDepartment of Veterans Affairs (VA) Center for the Study of Healthcare Innovation, Implementation, and Policy, Health Services Research and Development Service, VA Greater Los Angeles Healthcare System, Los Angeles (Goodsmith, Hamilton); National Clinician Scholars Program, University of California, Los Angeles (UCLA), Los Angeles (Goodsmith); VA Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles (Goodsmith, Young); American Psychiatric Association (Cohen); Department of Counseling Psychology, University of Wisconsin-Madison, Madison (Flynn); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Hamilton, Hellemann, Nowlin-Finch, Young); Los Angeles County Department of Mental Health, Los Angeles (Nowlin-Finch).
Nancy Nowlin-FinchDepartment of Veterans Affairs (VA) Center for the Study of Healthcare Innovation, Implementation, and Policy, Health Services Research and Development Service, VA Greater Los Angeles Healthcare System, Los Angeles (Goodsmith, Hamilton); National Clinician Scholars Program, University of California, Los Angeles (UCLA), Los Angeles (Goodsmith); VA Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles (Goodsmith, Young); American Psychiatric Association (Cohen); Department of Counseling Psychology, University of Wisconsin-Madison, Madison (Flynn); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Hamilton, Hellemann, Nowlin-Finch, Young); Los Angeles County Department of Mental Health, Los Angeles (Nowlin-Finch).
Alexander S YoungDepartment of Veterans Affairs (VA) Center for the Study of Healthcare Innovation, Implementation, and Policy, Health Services Research and Development Service, VA Greater Los Angeles Healthcare System, Los Angeles (Goodsmith, Hamilton); National Clinician Scholars Program, University of California, Los Angeles (UCLA), Los Angeles (Goodsmith); VA Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles (Goodsmith, Young); American Psychiatric Association (Cohen); Department of Counseling Psychology, University of Wisconsin-Madison, Madison (Flynn); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Hamilton, Hellemann, Nowlin-Finch, Young); Los Angeles County Department of Mental Health, Los Angeles (Nowlin-Finch).
VA Greater Los Angeles Healthcare System · US

Funding

Implementing patient-centered decision support for mental healthR21MH100565 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, ALEXANDER S. · 2013 to 2014
$424k
NIMH NIH HHS R21 MH100565
6 · The paper itself

Abstract

objectiveInnovative approaches are needed for assessing treatment preferences of individuals with schizophrenia. Conjoint analysis methods may help to identify preferences, but the usability and validity of these methods for individuals with schizophrenia remain unclear. This study examined computerized conjoint analysis for persons with schizophrenia and whether preferences for weight management programs predict service use.

methodsA computerized, patient-facing conjoint analysis system was developed through iterative consultation with 35 individuals with schizophrenia enrolled at a community mental health clinic. An additional 35 overweight participants with schizophrenia then used the system to choose among psychosocial weight management programs varying in four attributes: location (community or clinic), delivery mode (Internet or in person), leader (clinician or layperson), and training mode (individual or group). A multilevel logit model with partial preference data determined contributions of each attribute to groupwide preferences. Associations were studied between preferences and use of a psychosocial weight management group.

resultsConjoint analysis system usability was rated highly. Groupwide preferences were significantly influenced by location (p<0.001; clinic was preferred), leader (p=0.02; clinician was preferred), and training mode (p<0.001; group was preferred) but not delivery mode (p=0.68). Preferences did not correlate with age, gender, body mass index, illness severity, or subsequent program use. Participants described barriers to program attendance, including transportation, scheduling, privacy, psychiatric illness, and lack of motivation.

conclusionsComputerized conjoint analysis can produce valid assessments of treatment preferences of persons with schizophrenia and inform treatment development and implementation. Although preferences may affect treatment use, they are one of multiple factors.

Indexed as

SchizophreniaAmbulatory Care FacilitiesHumansPatient PreferenceConjoint analysisHealth informaticsMental illnessPatient preferencesSchizophreniaWeight management

Identifiers

PMID33430650
PMCPMC7920898
OpenAlexW3119625306

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.