Evidence map›Paper›PMID 29752804›Full record

ArticlePreventing chronic disease2018

Evaluating Behavioral Health Surveillance Systems.

Alejandro Azofeifa, Donna F Stroup, Rob Lyerla, Thomas Largo, Barbara A Gabella, C Kay Smith, Benedict I Truman, Robert D Brewer, Nancy D Brener, Behavioral Health Surveillance Working Group

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Assessment of Epidemiological Data and Surveillance in Korea Substance Use Research: Insights and Future Directions.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024
    Review
  4. Review
  5. Article
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  8. Article
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  10. Article
  11. Toward a Public Health Surveillance System for Behavioral Health.Public health reports (Washington, D.C. : 1974)
    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

10 authors at 4 institutions in 1 country.

Alejandro AzofeifaSubstance Abuse and Mental Health Services Administration, Rockville, Maryland.
Donna F StroupData for Solutions, Inc., PO Box 894, Decatur, GA 30031. Email: donnafstroup@dataforsolutions.com.
Rob LyerlaSubstance Abuse and Mental Health Services Administration, Rockville, Maryland.
Thomas LargoMichigan Department of Health and Human Services, Lansing, Michigan.
Barbara A GabellaColorado Department of Public Health and Environment, Denver, Colorado.
C Kay SmithCenters for Disease Control and Prevention, Atlanta, Georgia.
Benedict I TrumanCenters for Disease Control and Prevention, Atlanta, Georgia.
Robert D BrewerCenters for Disease Control and Prevention, Atlanta, Georgia.
Nancy D BrenerCenters for Disease Control and Prevention, Atlanta, Georgia.
Behavioral Health Surveillance Working Group
Centers for Disease Control and Prevention · USSubstance Abuse and Mental Health Services Administration · USColorado Department of Public Health and Environment · USMichigan Department of Health and Human Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2015, more than 27 million people in the United States reported that they currently used illicit drugs or misused prescription drugs, and more than 66 million reported binge drinking during the previous month. Data from public health surveillance systems on drug and alcohol abuse are crucial for developing and evaluating interventions to prevent and control such behavior. However, public health surveillance for behavioral health in the United States has been hindered by organizational issues and other factors. For example, existing guidelines for surveillance evaluation do not distinguish between data systems that characterize behavioral health problems and those that assess other public health problems (eg, infectious diseases). To address this gap in behavioral health surveillance, we present a revised framework for evaluating behavioral health surveillance systems. This system framework builds on published frameworks and incorporates additional attributes (informatics capabilities and population coverage) that we deemed necessary for evaluating behavioral health-related surveillance. This revised surveillance evaluation framework can support ongoing improvements to behavioral health surveillance systems and ensure their continued usefulness for detecting, preventing, and managing behavioral health problems.

Indexed as

Behavioral Risk Factor Surveillance SystemHealth BehaviorPopulation SurveillanceGovernment ProgramsHumansPreventive Health ServicesPublic Health SurveillanceUnited States

Identifiers

PMID29752804
PMCPMC5951155
OpenAlexW2799975209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.