Evidence map›Paper›PMID 37579096›Full record

ArticleJournal of addiction medicine

Patient Preferences for Mobile Health Applications to Support Recovery.

Kathryn Fleddermann, Todd Molfenter, Olivia Vjorn, Julie Horst, Jessica Hulsey, Braeden Kelly, Kayla Zawislak, David H Gustafson, Rachel E Gicquelais

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03954184 (Testing of a Patient-centered E-health Implementation Model in Addiction Treatment), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% 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.

NCT03954184 nacompletednot on this map

Testing of a Patient-centered E-health Implementation Model in Addiction Treatment

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2019 to 2023Enrolled23,659ConditionsSubstance Use DisordersArmsNIATx-TI with Product Training/On-line Support
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 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

9 authors at 1 institution in 2 countries.

Kathryn FleddermannFrom the Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI (KF, TM, OV, JH, DHG); Addiction Policy Forum, North Bethesda, MD (JH, BK, KZ); and School of Nursing, University of Wisconsin-Madison, Madison, WI (REG).ORCID 0000-0001-7937-693
David H GustafsonORCID 0000-0002-0660-1902
Rachel E GicquelaisORCID 0000-0002-7022-6385
Regis University · US

Funding

Testing of patient-centered e-health implementation model in addiction treatmentR01DA044159 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H, MOLFENTER, TODD DAVID · 2018 to 2022
$3.6M
No-Show Prevention Practices in Dental Care Settings Serving Underserved PopulationsUH3DE030531 · NIDCR · UNIVERSITY OF WISCONSIN-MADISON · PI Todd David Molfenter, Christopher Okunseri · 2024 to 2026
$2.3M
NIDA NIH HHS R01 DA044159NIDCR NIH HHS UH3 DE030531
6 · The paper itself

Abstract

introductionSmartphone apps to support individuals in recovery from substance use disorders (SUDs) are increasingly available. Although many people with SUDs express interest in recovery support apps, few try them or use them long-term. Strategies like gamification and contingency management are increasingly being considered to sustain engagement. This study sought to describe features of a recovery support app called the Addiction version of the Comprehensive Health Enhancement Support System (A-CHESS) that are most used by individuals in SUD recovery and what makes individuals more likely to use these apps.

methodsA total of 202 people with A-CHESS accounts completed an online survey assessing their experiences using A-CHESS between April and June 2021. We described app features reported to be most beneficial for managing anxiety, loneliness, and isolation during COVID-19; reasons for not using A-CHESS; and suggested app features for future recovery support apps.

resultsRespondents had a mean age of 41 years, 85% were White, and 61% were female. Respondents reported that app features related to messaging (ie, open discussion boards and private messaging) and informational or motivational resources were the most useful for managing isolation, anxiety, and loneliness. Reasons for not using A-CHESS were not knowing how to use the app and the app not being part of a personalized treatment plan. The most common suggested components for future apps were rewards for meeting goals and a support meeting locator.

conclusionsEnsuring that health apps are intuitive and include features that appeal to patients and educating patients about features apps already include that help them meet goals may enhance engagement with recovery apps.

Indexed as

Mobile ApplicationsSubstance-Related DisordersTelemedicineAdultFemaleHumansMalePatient PreferenceSurveys and Questionnaires

Identifiers

PMID37579096
PMCPMC10352466
OpenAlexW4318921529

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.