Evidence map›Paper›PMID 30744608›Full record

ArticleBMC public health2019

Timely linkage of individuals to substance use disorder treatment: development, implementation, and evaluation of FindHelpNowKY.org.

Terry Lee Bunn, Dana Quesinberry, Tyler Jennings, Amber Kizewski, Heather Jackson, Sarah McKee, Sarah Eustice

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Terry Lee BunnKentucky Injury Prevention and Research Center, University of Kentucky, 333 Waller Ave., Suite 242, Lexington, KY, 40504, USA. tlbunn2@uky.edu.
Dana QuesinberryKentucky Injury Prevention and Research Center, University of Kentucky, 333 Waller Ave., Suite 242, Lexington, KY, 40504, USA.
Tyler JenningsKentucky Injury Prevention and Research Center, University of Kentucky, 333 Waller Ave., Suite 242, Lexington, KY, 40504, USA.
Amber KizewskiKentucky Injury Prevention and Research Center, University of Kentucky, 333 Waller Ave., Suite 242, Lexington, KY, 40504, USA.
Heather JacksonKentucky Injury Prevention and Research Center, University of Kentucky, 333 Waller Ave., Suite 242, Lexington, KY, 40504, USA.
Sarah McKeeKentucky Injury Prevention and Research Center, University of Kentucky, 333 Waller Ave., Suite 242, Lexington, KY, 40504, USA.
Sarah EusticeKentucky Injury Prevention and Research Center, University of Kentucky, 333 Waller Ave., Suite 242, Lexington, KY, 40504, USA.

Funding

KENTUCKY PRESCRIPTION DRUG OVERDOSE PREVENTION PROGRAMU17CE002732 · CE · UNIVERSITY OF KENTUCKY · PI BUNN, TERRY LEE · 2015 to 2015
$940k
National Center for Injury Prevention and Control NU17CE002732NCIPC CDC HHS U17 CE002732
6 · The paper itself

Abstract

backgroundSubstance use disorders (SUD) have steadily increased over the last two decades. Seeking SUD treatment involves searching SUD treatment facility types (inpatient, outpatient and intensive outpatient, residential and family residential, and detoxification facilities) that offer specialized SUD treatment depending on individual needs and preferences. Referrals to SUD treatment require innovative strategies that rapidly link individuals to SUD treatment when they are at the critical stage of readiness. The aim of this study was to develop, implement, and evaluate a user-friendly SUD treatment facility opening availability website called FindHelpNowKY.org. The objectives of the study were to 1) recruit SUD treatment facility and partner participation; 2) develop platform, content, and analytics for the FindHelpNowKY.org website intervention with an information repository; 3) assess barriers and facilitators to implementation; and 4) evaluate the development and implementation of FindHelpNowKY.org.

methodsWebsite development stakeholders were identified and the website concept was developed. The logic model for FindHelpNowKY.org outlined resources, activities, and outputs as well as the associated short-term, medium-term, and long-term objectives, along with a website evaluation plan. Website usability and focus group testing was conducted. Information repository resource documents were compiled and categorized. An inventory of Kentucky-based SUD treatment facilities was compiled using various state and federal resources.

resultsDevelopment/implementation barriers were addressed, facilitators were identified, and the website was implemented; 83% of SUD treatment facilities were indexed on the website, and average website user time was 7 min. From February to October 2018, there were 29,000 visitors, and 30,000 unique searches. The most common website query was a friend or family member seeking long-term residential or outpatient treatment facilities accepting Medicaid or Medicare.

conclusionsFindHelpNowKY.org has the potential to fill a critical need for timely access to available SUD treatment in the state. The website may be a valuable resource for health professionals that can enhance clinical workflow and reduce staff time conducting phone and website searches for available SUD treatment. The website is a promising tool for assessing current SUD treatment capacity vs. SUD treatment need. The FindHelpNow model can be used by other states to increase timely access to SUD treatment.

Indexed as

InternetTime-to-TreatmentHealth Services AccessibilityHealth Services Needs and DemandHumansKentuckySubstance-Related DisordersAccessAddictionDevelopmentEvaluationImplementationPartnershipsSubstance use disorderTreatmentWebsite

Identifiers

PMID30744608
PMCPMC6371481

What OpenQuestion holds

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Registered trials

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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.