Evidence map›Paper›PMID 29635554›Full record

ArticleMilitary medicine2018

Videoconferenced Telebehavioral Health Referral Process Adherence.

Jeffrey Tebbs

Erratum issuedAbstract read
In one paragraph

Article in Military medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

1 author.

Jeffrey TebbsDepartment of Psychosocial and Community Health, University of Washington School of Nursing, Box 357263, Seattle, WA 98195-7266.

Funding

Aging and Informatics Training ProgramT32NR014833 · NINR · UNIVERSITY OF WASHINGTON · PI THOMPSON, HILAIRE J · 2014 to 2018
$982k
NINR NIH HHS T32 NR014833
6 · The paper itself

Abstract

Background: In 2015, the Army mandated 100% digital storage of telehealth consent forms (DA4700) in the Health Artifact and Image Management Solution (HAIMS) system, and a telebehavioral health (TBH) hub clinic set an aim to accomplish this by improving adherence to referral procedures essential to expanding patient access to videoconferenced (VC) behavioral health care. Methods: The Knowledge-to-Action (KTA) planned action framework underpinned development of a two-phase, PDSA (Plan-Do-Study-Act) quality improvement project to increase the rates of TBH new intake consent form completeness and upload adherence. First, a provider education initiative addressed form uploads. Second, TBH consultants prepared (signed and sent) intake forms to referring sites for their patients to finalize during the initial VC encounter. A chart review of consecutive new intake encounters compared data extracted from CY2015 Q1 baseline records (n = 65) with data from CY2016 Q1 improvement period records (n = 40). A total of 352 forms were reviewed. Results: Referrals (N = 118) that resulted in kept new VC TBH intake visits (n = 105), originated from three military behavioral health clinic referral sites. In CY2016 Q1, all DA4700 consent forms were uploaded to HAIMS. Telehealth treatment and medication consent form upload adherence increased from 94% and 68%, respectively, to 100% (p > 0.05). Form completeness increased from 36% to 95% (p < 0.001), and multiple linear regression analysis predicted an average 59% increase across the three referral sites (sr2 = 0.54). Conclusion: Consultant preparation of telehealth new intake consent forms effectively improved form completeness and increased adherence to new intake referral processes essential to this hub clinic expanding patient access to TBH care.

Indexed as

Behavioral MedicineConsent FormsHumansQuality ImprovementReferral and ConsultationTelemedicineTreatment Adherence and Compliance

Identifiers

PMID29635554
PMCPMC6927841

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.