ArticleBMC medical informatics and decision making2021
Development and assessment of the usability of a web-based referral to treatment tool for persons with substance use disorders.
Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- A Veteran-Centric Web-Based Decision Aid for Lung Cancer Screening: Usability Analysis.JMIR formative research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHospitalized people with unhealthy substance use should be referred to treatment. Although inpatient referral resources are often available, clinicians report that outpatient referral networks are not well-established. The purpose of this manuscript is to describe the development and usability testing of a web-based Referral to Treatment Tool (RTT © 2020 Trustees of Indiana University, all rights reserved) designed to identify treatment centers for people with unhealthy substance use.
resultsThe RTT was conceptualized, developed, and then populated with public use and local survey data of treatment centers from 14 market ZIP codes of hospitals participating in an SBIRT implementation study. The tool underwent initial heuristic testing, followed by usability testing at three hospitals within a large healthcare system in the Midwest region of the United States. Administrative (n = 6) and provider (n = 12) users of the RTT completed a list of tasks and provided feedback through Think-Aloud Tests, the System Usability Scale, and in-person interviews. Patients (n = 4) assessed multiple versions of a take-home printout of referral sites that met their specifications and completed in-person interviews to provide feedback. Each administrative task was completed in less than 3 min, and providers took an average of 4 min and 3 s to identify appropriate referral sites for a patient and print a referral list for the patient. The mean System Usability Scale score (M = 77.22, SD = 15.57, p = 0.03) was significantly higher than the passable score of 70, indicating favorable perceptions of the usability of the RTT. Administrative and provider users felt that the RTT was useful and easy to use, but the settings and search features could be refined. Patients indicated that the printouts contained useful information and that it was helpful to include multiple referral sites on the printout.
conclusionThe web-based referral tool has the potential to facilitate voluntary outpatient referral to treatment for patients with unhealthy substance use. The RTT can be customized for a variety of health care settings and patient needs. Additional revisions based on usability testing results are needed to prepare for a broader multi-site clinical evaluation. Trial Registration Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
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.