Evidence map›Paper›PMID 33068850›Full record

ArticleGeneral hospital psychiatry

Healthcare utilization among patients with psychiatric hospitalization admitted through the emergency department (ED): A claims-based study.

Wenna Xi, Samprit Banerjee, Robert B Penfold, Gregory E Simon, George S Alexopoulos, Jyotishman Pathak

Open access · hybridAbstract read
In one paragraph

Article in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Wenna XiDepartment of Population Health Sciences, Weill Cornell Medicine, DV-306A, 425 E 61st St, New York, NY 10065, USA. Electronic address: wex4002@med.cornell.edu.
Samprit BanerjeeDepartment of Population Health Sciences, Weill Cornell Medicine, LA-233, 402 E 67th St, New York, NY 10065, USA. Electronic address: sab2028@med.cornell.edu.
Robert B PenfoldKaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Suite 1600, Seattle, WA 98101, USA. Electronic address: robert.b.penfold@kp.org.
Gregory E SimonKaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Suite 1600, Seattle, WA 98101, USA. Electronic address: gregory.e.simon@kp.org.
George S AlexopoulosDepartment of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY 10605, USA. Electronic address: gsalexop@med.cornell.edu.
Jyotishman PathakDepartments of Population Health Sciences and Psychiatry, Weill Cornell Medicine, 425 E 61st St, New York, NY 10065, USA. Electronic address: pathak@med.cornell.edu.
Weill Cornell Medicine · USKaiser Permanente Washington Health Research Institute · US

Funding

National Infrastructure for Standardized and Portable EHR Phenotyping AlgorithmsR01GM105688 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LUO, YUAN, PATHAK, JYOTISHMAN · 2013 to 2020
$5.7M
Relief: A Behavioral Intervention for Depression and Chronic Pain for Primary Care PracticesP50MH113838 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI ALEXOPOULOS, GEORGE S · 2017 to 2020
$5.7M
Linking VA and non-VA data to study the risk of suicide in chronic pain patients.R01MH121907 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI OSLIN, DAVID W., PATHAK, JYOTISHMAN · 2020 to 2024
$3.6M
Using claims data to study the association between Alzheimer's disease and suicidal behaviorsR01MH119177 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI PATHAK, JYOTISHMAN · 2019 to 2022
$3.3M
Modeling Social Behavior for Healthcare Utilization in DepressionR01MH105384 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI PATHAK, JYOTISHMAN, SHETH, AMIT P · 2015 to 2018
$2.1M
NIGMS NIH HHS R01 GM105688NIMH NIH HHS P50 MH113838NIMH NIH HHS R01 MH105384NIMH NIH HHS R01 MH119177NIMH NIH HHS R01 MH121907
6 · The paper itself

Abstract

objectiveTo characterize the US national level healthcare utilization patterns of patients with commercial insurance plans before and after a psychiatric hospitalization admitted through the emergency department (ED) using insurance claims data.

methodWe identified 34,250 patients from multiple commercial health insurance providers across the US who meet our eligibility criteria. We summarized their healthcare encounters and used logistic regression models to study the patterns of healthcare utilization including prior visits, outpatient follow-ups, and hospital- or ED-readmissions.

resultsSuicidal ideation was highly prevalent at the time of the index event (29.88%). Almost half of the patients (48.28%) had healthcare encounters with the same primary diagnosis one year before admission, about 5% had outpatient follow-ups or were readmitted to the hospital or ED 7 days post discharge. The post 30-day follow-ups and readmission rates were slightly higher. In general, older patients were less likely to have prior visits, follow-ups, or readmissions, and patients with SUDs, specifically alcohol dependence, opioid dependence/abuse, and stimulant dependence, were more likely to have outpatient follow-ups.

conclusionPatterns of patients' prior visits, follow-ups, and readmissions varied by demographics and psychiatric comorbidity. Additional studies are needed to further explain the spatial variations of utilization patterns.

Indexed as

AftercarePatient DischargeEmergency Service, HospitalHospitalizationHumansPatient Acceptance of Health CarePatient ReadmissionRetrospective StudiesEmergency departmentHealthcare utilizationHospitalizationInsurance claims dataMental health and substance use disorders

Identifiers

PMID33068850
PMCPMC7722047
OpenAlexW3092554666

What OpenQuestion holds

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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.