Evidence map›Paper›PMID 22435865›Full record

SynthesisAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2012

A systematic review of emergency department technology-based behavioral health interventions.

Esther K Choo, Megan L Ranney, Nitin Aggarwal, Edwin D Boudreaux

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07119658 (Targeting Metabolic Syndrome From the Emergency Department Through Mixed-Methods), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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.

NCT07119658 nacompletednot on this mapstarted 2025, after this paper: background citation

Targeting Metabolic Syndrome From the Emergency Department Through Mixed-Methods: Pilot Trial

TypeinterventionalSponsorIndiana UniversityRan2025 to 2026Enrolled20ConditionsHypertension, Hyperglycemia, Dyslipidemia, Metabolic SyndromeArmsComposite intervention to address MetS
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. A Multifaceted Intervention to Improve Patient Knowledge and Safe Use of Opioids: Results of the ED EMCAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2019
    Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Technological Interventions in the Emergency Departments to Enhance Safety and Care Experiences of Mental and Behavioral Health Patients and Staff.Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting · 2025
    Article
  12. Observational
  13. Article
  14. Article
  15. Depression in Emergency Department Patients and Association With Health Care Utilization.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors.

Esther K ChooInjury Prevention Center, Department of Emergency Medicine, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, USA. esther_choo@brown.edu
Megan L Ranney
Nitin Aggarwal
Edwin D Boudreaux

Funding

A Computer-based Intervention for Women with Substance Use and IPV in the EDK23DA031881 · NIDA · RHODE ISLAND HOSPITAL · PI CHOO, ESTHER K · 2011 to 2015
$900k
NIDA NIH HHS K23 DA031881
6 · The paper itself

Abstract

objectivesThis systematic review evaluated the evidence for use of computer technologies to assess and reduce high-risk health behaviors in emergency department (ED) patients.

methodsA systematic search was conducted of electronic databases, references, key journals, and conference proceedings. Studies were included if they evaluated the use of computer-based technologies for ED-based screening, interventions, or referrals for high-risk health behaviors (e.g., unsafe sex, partner violence, substance abuse, depression); were published since 1990; and were in English, French, or Spanish. Study selection and assessment of methodologic quality were performed by two independent reviewers. Data extraction was performed by one reviewer and then independently checked for completeness and accuracy by a second reviewer.

resultsOf 17,744 unique articles identified by database search, 66 underwent full-text review, and 20 met inclusion criteria. The greatest number of studies targeted alcohol/substance use (n = 8, 40%), followed by intentional or unintentional injury (n = 7, 35%) and then mental health (n = 4, 20%). Ten of the studies (50%) were randomized controlled trials; the remainder were observational or feasibility studies. Overall, studies showed high acceptability and feasibility of individual computer innovations, although study quality varied greatly. Evidence for clinical efficacy across health behaviors was modest, with few studies addressing meaningful clinical outcomes. Future research should aim to establish the efficacy of computer-based technology for meaningful health outcomes and to ensure that effective interventions are both disseminable and sustainable.

conclusionsThe number of studies identified in this review reflects recent enthusiasm about the potential of computers to overcome barriers to behavioral health screening, interventions, and referrals to treatment in the ED. The available literature suggests that these types of tools will be feasible and acceptable to patients and staff.

Indexed as

Health BehaviorMedical Informatics ApplicationsEmergency Service, HospitalHumansPatient Care ManagementRisk Factors

Identifiers

PMID22435865
PMCPMC5693241

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

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.