Evidence map›Paper›PMID 33856303›Full record

SynthesisThe western journal of emergency medicine2021

Geographically Indexed Referral Databases to Address Social Needs in the Emergency Department.

Alexa Curt, Hazar Khidir, Gia Ciccolo, Carlos A Camargo, Margaret Samuels-Kalow

Abstract readSystematic Review
In one paragraph

Synthesis in The western journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Alexa CurtMassachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Hazar KhidirHarvard Affiliated Emergency Medicine Residency, Boston, Massachusetts.
Gia CiccoloMassachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Carlos A CamargoMassachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Margaret Samuels-KalowMassachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts.

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
NCATS NIH HHS UL1 TR002541
6 · The paper itself

Abstract

introductionUnmet health-related social needs (HRSN) are among the drivers of disparities in morbidity and mortality during public health emergencies such as the novel coronavirus 2019 (Covid-19) pandemic. Although emergency departments (ED) see a high volume of patients with HRSN, ED providers have limited time to complete detailed assessments of patients' HRSN and are not always able to provide up-to-date and comprehensive information to patients on available community resources. Electronic, geographically indexed resource database systems have the potential to provide an efficient way for emergency physicians to rapidly identify community resources in settings where immediate social work consultation is not accessible.

methodsWe conducted a systematic review of papers examining the use of geographically indexed resource database systems in healthcare to better understand how these services can be used in emergency care. We then conducted simulated, standardized searches using two nationally available databases (211 and Aunt Bertha), applied to a single metropolitan area (Boston).

resultsOur systematic review found that most public health and screening interventions using nationally available databases have focused on chronic care needs. A small subset of publications demonstrated that these databases were mobilized during disasters to successfully aid vulnerable populations during Hurricanes Katrina and Rita. A total of 408 standardized searches were conducted to identify community resources related to four domains of social needs (food, transportation, housing, and utilities). Although 99% of the resources identified by both databases were relevant to the search domains queried, a significant proportion of the resources identified by each database were restricted to a specific demographic (eg, veterans).

conclusionOur findings demonstrate that geographically indexed referral databases may be an effective tool to help ED providers connect patients to nearby community resources during public health emergencies. We recommend that EDs select a referral database based on the greatest number of resources that are not demographically restricted.

Indexed as

Databases, FactualEmergency Service, HospitalNeeds AssessmentReferral and ConsultationHealth Services Needs and DemandHumans

Identifiers

PMID33856303
PMCPMC7972357

What OpenQuestion holds

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LicenceCC BY
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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.