Evidence map›Paper›PMID 38557501›Full record

ArticleJMIR formative research2024

Development and Evaluation of a Digital App for Patient Self-Management of Opioid Use Disorder: Usability, Acceptability, and Utility Study.

Van Lewis King, Gregg Siegel, Henry Richard Priesmeyer, Leslie H Siegel, Jennifer S Potter

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Van Lewis KingDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-1557-8222
Gregg SiegelBiomedical Development Corporation, San Antonio, TX, United States.ORCID https://orcid.org/0000-0003-4483-3517
Henry Richard PriesmeyerDepartment of Management and Marketing, St. Mary's University, San Antonio, TX, United States.ORCID https://orcid.org/0009-0006-2208-5836
Leslie H SiegelBiomedical Development Corporation, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-5545-8989
Jennifer S PotterDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-7250-4422
Biomedical Development Corporation · USThe University of Texas Health Science Center at San Antonio · USSt. Mary's University, Texas · US

Funding

mHealth for Patient Self-Management of Opioid Use DisorderR43MH119672 · NIMH · BIOMEDICAL DEVELOPMENT CORPORATION · PI BOWDEN, CHARLES LEE · 2018 to 2018
$225k
NIMH NIH HHS R43 MH119672
6 · The paper itself

Abstract

backgroundSelf-management of opioid use disorder (OUD) is an important component of treatment. Many patients receiving opioid agonist treatment in methadone maintenance treatment settings benefit from counseling treatments to help them improve their recovery skills but have insufficient access to these treatments between clinic appointments. In addition, many addiction medicine clinicians treating patients with OUD in a general medical clinic setting do not have consistent access to counseling referrals for their patients. This can lead to decreases in both treatment retention and overall progress in the patient's recovery from substance misuse. Digital apps may help to bridge this gap by coaching, supporting, and reinforcing behavioral change that is initiated and directed by their psychosocial and medical providers.

objectiveThis study aimed to conduct an acceptability, usability, and utility pilot study of the KIOS app to address these clinical needs.

methodsWe developed a unique, patient-centered computational software system (KIOS; Biomedical Development Corporation) to assist in managing OUD in an outpatient, methadone maintenance clinic setting. KIOS tracks interacting self-reported symptoms (craving, depressed mood, anxiety, irritability, pain, agitation or restlessness, difficulty sleeping, absenteeism, difficulty with usual activities, and conflicts with others) to determine changes in both the trajectory and severity of symptom patterns over time. KIOS then applies a proprietary algorithm to assess the individual's patterns of symptom interaction in accordance with models previously established by OUD experts. After this analysis, KIOS provides specific behavioral advice addressing the individual's changing trajectory of symptoms to help the person self-manage their symptoms. The KIOS software also provides analytics on the self-reported data that can be used by patients, clinicians, and researchers to track outcomes.

resultsIn a 4-week acceptability, usability (mean System Usability Scale-Modified score 89.5, SD 9.2, maximum of 10.0), and utility (mean KIOS utility questionnaire score 6.32, SD 0.25, maximum of 7.0) pilot study of 15 methadone-maintained participants with OUD, user experience, usability, and software-generated advice received high and positive assessment scores. The KIOS clinical variables closely correlated with craving self-report measures. Therefore, managing these variables with advice generated by the KIOS software could have an impact on craving and ultimately substance use.

conclusionsKIOS tracks key clinical variables and generates advice specifically relevant to the patient's current and changing clinical state. Patients in this pilot study assigned high positive values to the KIOS user experience, ease of use, and the appropriateness, relevance, and usefulness of the specific behavioral guidance they received to match their evolving experiences. KIOS may therefore be useful to augment in-person treatment of opioid agonist patients and help fill treatment gaps that currently exist in the continuum of care. A National Institute on Drug Abuse-funded randomized controlled trial of KIOS to augment in-person treatment of patients with OUD is currently being conducted.

Indexed as

behavioral medicinedigital healthKIOSKIOS appKIOS applicationmHealthopioidopioid misuseopioid use disorderpatient-centeredself-managementsocial supportsoftwaresubstance usesubstance use disordersubstance use treatment

Identifiers

PMID38557501
PMCPMC11019416
OpenAlexW4393387133

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.