Communication between patients, peers, and care providers through a mobile health intervention supporting medication-assisted treatment for opioid use disorder

Flickinger, Tabor; Waselewski, Marika; Tabackman, Alexa; Huynh, Jacqueline; Hodges, Jacqueline; Otero, Kori; Schorling, Kelly; Ingersoll, Karen S.; Tiouririne, Nassima Ait‐Daoud; Dillingham, Rebecca

doi:10.1016/j.pec.2022.02.014

Cited by 9 publications

(5 citation statements)

References 37 publications

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“…A total of 14 studies met the criteria and were included in the review [9,[23][24][25][26][27][28][29][30][31][32][33][34][35]. Details of the search and stages of selection are outlined in Figure 1.…”

Section: Overviewmentioning

confidence: 99%

“…Central to these preferences is the desire for behavior change facilitation through various techniques. The main behavior change techniques (BCTs) that were preferred by participants across the studies included encouragement or motivation [30,31], social and personal support [26,27,31,34], professional support [28,31], education [31,35], and personal tailoring [30,33]. Most notably, participants expressed a desire to have contact with a health care professional and to receive encouragement and educational, motivational, socioeconomic, and social support [26,31,33].…”

Section: Preferencesmentioning

confidence: 99%

“…For example, the study by Glass et al [28] found that participants preferred to have conversations with their medical providers about mHealth apps as part of their treatment plan. Another study found that 52% of users asked for medical advice from health practitioners while using the app [27].…”

Section: Preferencesmentioning

confidence: 99%

“…In addition to this, peer social support was highlighted as being important in 2 studies [26,27], with app-based support being preferred by 71% of participants in another study [31]. Participants in 1 study wanted the mHealth app to integrate social assistance, housing services, counseling, and medical and peer support into the application and treatment regime [26].…”

Section: Preferencesmentioning

confidence: 99%

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Users' Acceptability and Perceived Efficacy of mHealth for Opioid Use Disorder: Scoping Review

Lyzwinski,

Elgendi,

Menon

2024

JMIR Mhealth Uhealth

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Background The opioid crisis continues to pose significant challenges to global public health, necessitating the development of novel interventions to support individuals in managing their substance use and preventing overdose-related deaths. Mobile health (mHealth), as a promising platform for addressing opioid use disorder, requires a comprehensive understanding of user perspectives to minimize barriers to care and optimize the benefits of mHealth interventions. Objective This study aims to synthesize qualitative insights into opioid users’ acceptability and perceived efficacy of mHealth and wearable technologies for opioid use disorder. Methods A scoping review of PubMed (MEDLINE) and Google Scholar databases was conducted to identify research on opioid user perspectives concerning mHealth-assisted interventions, including wearable sensors, SMS text messaging, and app-based technology. Results Overall, users demonstrate a high willingness to engage with mHealth interventions to prevent overdose-related deaths and manage opioid use. Users perceive mHealth as an opportunity to access care and desire the involvement of trusted health care professionals in these technologies. User comfort with wearing opioid sensors emerged as a significant factor. Personally tailored content, social support, and encouragement are preferred by users. Privacy concerns and limited access to technology pose barriers to care. Conclusions To maximize benefits and minimize risks for users, it is crucial to implement robust privacy measures, provide comprehensive user training, integrate behavior change techniques, offer professional and peer support, deliver tailored messages, incorporate behavior change theories, assess readiness for change, design stigma-reducing apps, use visual elements, and conduct user-focused research for effective opioid management in mHealth interventions. mHealth demonstrates considerable potential as a tool for addressing opioid use disorder and preventing overdose-related deaths, given the high acceptability and perceived benefits reported by users.

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Section: Overviewmentioning

confidence: 99%

Section: Preferencesmentioning

confidence: 99%

Section: Preferencesmentioning

confidence: 99%

Section: Preferencesmentioning

confidence: 99%

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Users' Acceptability and Perceived Efficacy of mHealth for Opioid Use Disorder: Scoping Review

Lyzwinski,

Elgendi,

Menon

2024

JMIR Mhealth Uhealth

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“…Many individuals use these apps for various purposes, such as receiving daily diet and fitness suggestions, tracking their steps, and setting reminders to drink water. These are being integrated into patient care, health management, and communication among healthcare professionals [ 11 , 12 ]. Based on this information, it is anticipated that mobile apps can assist patients in managing problems that may arise outside of the hospital, ensuring their active participation in treatment, as well as facilitating consultations and communication.…”

Section: Introductionmentioning

confidence: 99%

Mobile care app development process: using the ADDIE model to manage symptoms after breast cancer surgery (step 1)

Aydιn

Gürsoy

Karal³

2023

Discov Onc

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The use of mobile applications is widespread in patient monitoring or education today. This study aims to describe the design and development process of a mobile app that supports patient self-care after breast cancer surgery. We used the ADDIE model to develop and test the mobile app. ADDIE (Analysis, Design, Development, Implementation, Evaluation) is a systematic approach based on a standard instructional design model for creating training materials. The model consists of five phases, each with its own set of steps. Once the steps within each phase are completed, the model progresses to the next phase, ultimately resulting in a “usable” product. Different team collaborations were established within each phase, and support was obtained from multiple experts during the design process. Thanks to this model, the information that patients need was transformed into a technological product. This article, which explains the stages of the product design process for mobile applications, provides information that may be helpful to researchers working on similar products.

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Telehealth-Based Delivery of Medication-Assisted Treatment for Opioid Use Disorder: a Critical Review of Recent Developments

Mahmoud

Naal

Whaibeh

et al. 2022

Curr Psychiatry Rep

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Purpose of Review Telehealth-delivered medication-assisted treatment for opioid use disorder (tele-MOUD) has received increased attention, with the intersection of the opioid epidemic and COVID-19 pandemic, but research on recent developments is scattered. We critically review recent literature on tele-MOUD and synthesize studies reporting primary data under four themes: clinical effectiveness, non-clinical effectiveness, perceptions, and regulatory considerations. Recent Findings Despite increasing publications, most failed to include long-term comprehensive assessments. Findings indicate favorable outcomes such as improvements in retention and abstinence rates, positive experiences, and improved feasibility with the relaxation of regulatory measures. With increased adoption, clinician and patient perceptions appeared largely positive. Negative findings, albeit minor, were primarily associated with workflow adaptation difficulties and limited access of underserved populations to technology and internet connection. Summary Additional financial, logistical, outreach, and training support for clinicians, patients, and support staff is recommended, in addition to permanent evidence-based regulatory reforms, to scale and optimize tele-MOUD services. Comprehensive recommendations to overcome limitations are expanded therein.

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Communication between patients, peers, and care providers through a mobile health intervention supporting medication-assisted treatment for opioid use disorder

Cited by 9 publications

References 37 publications

Users' Acceptability and Perceived Efficacy of mHealth for Opioid Use Disorder: Scoping Review

Users' Acceptability and Perceived Efficacy of mHealth for Opioid Use Disorder: Scoping Review

Mobile care app development process: using the ADDIE model to manage symptoms after breast cancer surgery (step 1)

Telehealth-Based Delivery of Medication-Assisted Treatment for Opioid Use Disorder: a Critical Review of Recent Developments

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