Evidence map›Paper›PMID 23636464›Full record

ArticleJournal of immigrant and minority health2014

Examining patient race and area predictors of inpatient admission for schizophrenia among hospital users in California.

Anna Durbin, David Rudoler, Janet Durbin, Audrey Laporte, Russell C Callaghan

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of immigrant and minority health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

5 authors.

Anna DurbinFaculty of Medicine, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada, anna.durbin@gmail.com.
David Rudoler
Janet Durbin
Audrey Laporte
Russell C Callaghan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to international research African-Caribbean and Black African populations have increased risk of hospitalization for schizophrenia, compared to Whites. Less is known about admission risk for other racial-ethnic groups. This study investigated racial-ethnic differences in hospital admission for schizophrenia in California. It also investigated the influence of area social factors (racial-ethnic neighborhood composition, and per capita income) and health service factors (presence of primary care clinics). The study sample included individuals admitted to a California hospital during 1990-2005 with a primary appendicitis related diagnosis, and without a prior or concurrent indication of schizophrenia. The adjusted logistic model examined how patient racial-ethnicity (White, Black, Hispanic, Other), other personal, area social characteristics and presence of primary care clinics influenced hospital admissions for schizophrenia. Black individuals were almost twice as likely as Whites to be admitted while Hispanics and Other race individuals were less to be admitted. In addition, male sex, having more comorbidities and living in areas with greater proportions of non-Whites increased risk. The increased risk for Blacks compared to Whites was consistent with the existing literature. However, this is among the first studies to report that Hispanics had a reduced risk of admission for schizophrenia, compared to Whites. Future studies may want to include a broader range of health services to better understand patterns of care use among individuals with schizophrenia.

Indexed as

AdolescentAdultAgedAged, 80 and overAppendicitisBlack or African AmericanCaliforniaEthnicityFemaleHispanic or LatinoHospitalizationHumansMaleMiddle AgedRacismRisk Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.