Evidence map›Paper›PMID 21274355›Full record

ArticlePrimary care companion to the Journal of clinical psychiatry2010

Preventive medical services use among community mental health patients with severe mental illness:the influence of gender and insurance coverage.

Glen L Xiong, Ana-Maria Iosif, Richard A Bermudes, Robert M McCarron, Robert E Hales

Open access · greenAbstract read
In one paragraph

Article in Primary care companion to the Journal of clinical psychiatry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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, 9 citations in OpenAlex.

  1. Trial
  2. Article
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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

5 authors at 2 institutions in 2 countries.

Glen L XiongDepartment of Internal Medicine, University of California, Davis School of Medicine, Sacramento, CA, USA. gxiong@ucdavis.edu
Ana-Maria Iosif
Richard A Bermudes
Robert M McCarron
Robert E Hales
Institute of Behavioral Sciences · JPUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study examines predictors of reduced preventive health service use in patients with severe mental illness by examining psychiatric diagnoses and demographic factors.

methodOf 387 patients approached in 4 community mental health clinics regarding their preventive health services use from January 2005 to May 2007, 234 (60.5%) were interviewed. Of those participants interviewed, 221 had a DSM-IV-TR diagnosis of (1) primary psychotic disorder (schizophrenia or schizoaffective disorder), (2) bipolar disorder, or (3) recurrent major depressive disorder. Psychiatric disorders and demographic factors that predicted high service utilization were analyzed using analysis of variance and χ² tests.

resultsIn the linear predictive model, use of preventive services was not statistically different among the 3 diagnostic groups. Participants with primary psychotic disorder used a similar number of preventive services compared to those with bipolar disorder and major depression. Women used more services than men (P < .01), and individuals with health insurance used more than uninsured participants (P < .001).

conclusionMale gender and not having medical insurance were predictive of lower preventive health service use in this sample of patients with severe mental illness. Further research is needed to replicate these findings and to improve use of preventive health services in people with severe mental illness.

Identifiers

PMID21274355
PMCPMC3026000
OpenAlexW2041596305

What OpenQuestion holds

Textmetadata
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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.