Evidence map›Paper›PMID 28905296›Full record

ArticleThe journal of behavioral health services & research2018

Potentially Preventable Medical Hospitalizations and Emergency Department Visits by the Behavioral Health Population.

Eric M Schmidt, Simone Behar, Alinne Barrera, Matthew Cordova, Leonard Beckum

Abstract read
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In one paragraph

Article in The journal of behavioral health services & research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Eric M SchmidtCenter for Innovation to Implementation (Ci2i), HSR&D, VA Palo Alto Health Care System, 795 Willow Road, Menlo Park, CA, 94025, USA. eric.schmidt4@va.gov.
Simone BeharPacific Graduate School of Psychology, Palo Alto University, 1791 Arastradero Road, Palo Alto, CA, 94305, USA.
Alinne BarreraPacific Graduate School of Psychology, Palo Alto University, 1791 Arastradero Road, Palo Alto, CA, 94305, USA.
Matthew CordovaPacific Graduate School of Psychology, Palo Alto University, 1791 Arastradero Road, Palo Alto, CA, 94305, USA.
Leonard BeckumPacific Graduate School of Psychology, Palo Alto University, 1791 Arastradero Road, Palo Alto, CA, 94305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated geographic variation in potentially preventable medical outcomes that might be used to monitor access to high-quality medical care in the behavioral health population. Analyzing public and non-public data sources from California on adults admitted between 2009 and 2011 to all non-federal licensed medical inpatient (N = 6,603,146) or emergency department units (N = 21,011,958) revealed that 33.6% of nearly 1 million potentially preventable hospitalizations and 9.8% of 1.5 million potentially preventable emergency department visits were made by people with mental or substance use disorder diagnoses. Across California counties or county groups (N = 36), a higher preventable hospitalization rate in the behavioral health population was associated with higher poverty, higher primary care safety net utilization, and fewer mental health providers. Although further validation is required, rates of potentially preventable encounters, particularly hospitalizations, may be useful measures of access to high-quality care in the behavioral health population.

Indexed as

AdolescentAdultChronic DiseaseDatabases, FactualEmergency Service, HospitalFemaleHealth Services AccessibilityHospitalizationHumansLinear ModelsMaleMental DisordersMiddle AgedPovertyPrimary Health CareQuality of Health Care

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.