Dataset Information

Mobile phone use patterns and preferences in safety net office-based buprenorphine patients.

ABSTRACT: Integrating mobile phone technologies in addiction treatment is of increasing importance and may optimize patient engagement with their care and enhance the delivery of existing treatment strategies. Few studies have evaluated mobile phone and text message (TM) use patterns in persons enrolled in addiction treatment, and none have assessed the use in safety net, office-based buprenorphine practices.A 28-item, quantitative and qualitative semistructured survey was administered to opiate-dependent adults in an urban, publicly funded, office-based buprenorphine program. Survey domains included demographic characteristics, mobile phone and TM use patterns, and preferences pertaining to their recovery.Surveyors approached 73 of the 155 eligible subjects (47%); 71 respondents completed the survey. Nearly all participants reported mobile phone ownership (93%) and TM use (93%), and most reported "very much" or "somewhat" comfort sending TM (79%). Text message contact with 12-step group sponsors, friends, family members, and counselors was also described (32%). Nearly all preferred having their providers' mobile phone number (94%), and alerting the clinic via TM in the event of a potential relapse to receive both supportive TM and a phone call from their buprenorphine provider was also well received (62%).Mobile phone and TM use patterns and preferences among this sample of office-based buprenorphine participants highlight the potential of adopting patient-centered mobile phone-based interventions in this treatment setting.

SUBMITTER: Tofighi B

PROVIDER: S-EPMC4693598 | biostudies-literature | 2015 May-Jun

REPOSITORIES: biostudies-literature

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Mobile phone use patterns and preferences in safety net office-based buprenorphine patients.

Tofighi Babak B Grossman Ellie E Buirkle Emily E McNeely Jennifer J Gourevitch Marc M Lee Joshua D JD

Journal of addiction medicine 20150501 3

<h4>Background</h4>Integrating mobile phone technologies in addiction treatment is of increasing importance and may optimize patient engagement with their care and enhance the delivery of existing treatment strategies. Few studies have evaluated mobile phone and text message (TM) use patterns in persons enrolled in addiction treatment, and none have assessed the use in safety net, office-based buprenorphine practices.<h4>Methods</h4>A 28-item, quantitative and qualitative semistructured survey w ...[more]

PMID: 25918966

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Project description:BackgroundMobile apps are a popular strategy for reducing mobile phone use and preventing maladaptive mobile phone use (MMPU). Previous research efforts have been made to understand the features of apps that have the potential to reduce mobile phone use and MMPU. However, there has been a lack of a comprehensive examination of the effectiveness of such apps and their features.ObjectiveThis paper investigated existing apps designed to reduce mobile phone use and prevent MMPU and examined the evidence of their effectiveness. The research aimed to provide a comprehensive analysis of app features that can reduce mobile phone use and MMPU, while also assessing their effectiveness. In addition, we explored users' perceptions of these apps and the various features the apps offer to understand potential adoption issues and identify opportunities.MethodsThis study used 3 methods: a review of scientific evidence, content analysis, and sentiment analysis.ResultsOur study comprehensively examine the common features of 13 apps designed to reduce mobile phone use. We extracted and classified the features into 7 types: self-tracking, social tracking, goal setting, blocking, gamification, simplification, and assessment. The effectiveness of these apps in reducing mobile phone use and MMPU varied from weak to strong. On the basis of content analysis, self-tracking and goal setting were the most frequently used features, whereas gamification and assessment were used the least frequently. The intervention strategies that effectively reduce mobile phone use and MMPU included using grayscale mode, app limit features, and mixed interventions. Overall, users tended to accept these apps, as indicated by sentiment scores ranging from 61 to 86 out of 100.ConclusionsThis study demonstrates that app-based management has the potential to reduce mobile phone use and MMPU. However, further research is required to evaluate the effectiveness of app-based interventions. Collaborations among researchers, app developers, mobile phone manufacturers, and policy makers could enhance the process of delivering, evaluating, and optimizing apps aimed at reducing mobile phone use and MMPU.

Project description:BackgroundHealth care systems are rapidly deploying digital tools for disease management; however, few studies have evaluated their usability by vulnerable populations. To understand the barriers to app usage among vulnerable populations, we employed user-centered design (UCD) methods in the development of a new text messaging app.ObjectiveThe study aimed to describe variations in patients' engagement in the app design process, focusing on limited health literacy (LHL), limited English proficiency (LEP), and limited digital literacy (LDL).MethodsWe conducted 20 in-depth semistructured interviews with primary care patients at a public health care system, used open-ended discussions and card sorting tasks to seek input about mobile phones and text messaging, and used open coding to categorize the patterns of mobile phone usage and to evaluate engagement in the card sorting process. We examined qualitative differences in engagement by examining the extensiveness of participant feedback on existing and novel text messaging content and calculated the proportion of patients providing extensive feedback on existing and novel content, overall and by health literacy, English proficiency, and digital literacy.ResultsThe average age of the 20 participants was 59 (SD 8) years; 13 (65%) were female, 18 (90%) were nonwhite, 16 (80%) had LHL, and 13 (65%) had LEP. All had depression, and 14 (70%) had diabetes. Most participants had smartphones (18/20, 90%) and regularly used text messaging (15/20, 75%), but 14 (70%) of them reported having difficulty texting because of inability to type, physical disability, and low literacy. We identified 10 participants as specifically having LDL; 7 of these participants had LEP, and all 10 had LHL. Half of the participants required a modification of the card sorting activity owing to not understanding it or not being able to read the cards in the allotted time. The proportion of participants who gave extensive feedback on existing content was lower in participants with limited versus adequate English proficiency (4/13, 30% vs 5/7, 71%), limited versus adequate health literacy (7/16, 44% vs 3/4, 75%), and limited versus adequate digital literacy (4/10, 40% vs 6/10, 60%); none of these differences were statistically significant. When examining the proportion of patients who gave extensive feedback for novel messaging content, those with LHL were less engaged than those with adequate health literacy (8/16, 50% vs 4/4, 100%); there were no statistical differences by any subgroup.ConclusionsDespite widespread mobile phone use, digital literacy barriers are common among vulnerable populations. Engagement in the card sorting activity varied among participants and appeared to be lower among those with LHL, LEP, and LDL. Researchers employing traditional UCD methods should routinely measure these communication domains among their end-user samples. Future work is needed to replicate our findings in larger samples, but augmentation of card sorting with direct observation and audiovisual cues may be more productive in eliciting feedback for those with communication barriers.

Project description:CONTEXT: Although office-based opioid treatment with buprenorphine (OBOT-B) has been successfully implemented in primary care settings in the US, its use has not been reported in homeless patients. OBJECTIVE: To characterize the feasibility of OBOT-B in homeless relative to housed patients. DESIGN: A retrospective record review examining treatment failure, drug use, utilization of substance abuse treatment services, and intensity of clinical support by a nurse care manager (NCM) among homeless and housed patients in an OBOT-B program between August 2003 and October 2004. Treatment failure was defined as elopement before completing medication induction, discharge after medication induction due to ongoing drug use with concurrent nonadherence with intensified treatment, or discharge due to disruptive behavior. RESULTS: Of 44 homeless and 41 housed patients enrolled over 12 months, homeless patients were more likely to be older, nonwhite, unemployed, infected with HIV and hepatitis C, and report a psychiatric illness. Homeless patients had fewer social supports and more chronic substance abuse histories with a 3- to 6-fold greater number of years of drug use, number of detoxification attempts and percentage with a history of methadone maintenance treatment. The proportion of subjects with treatment failure for the homeless (21%) and housed (22%) did not differ (P = .94). At 12 months, both groups had similar proportions with illicit opioid use [Odds ratio (OR), 0.9 (95% CI, 0.5-1.7) P = .8], utilization of counseling (homeless, 46%; housed, 49%; P = .95), and participation in mutual-help groups (homeless, 25%; housed, 29%; P = .96). At 12 months, 36% of the homeless group was no longer homeless. During the first month of treatment, homeless patients required more clinical support from the NCM than housed patients. CONCLUSIONS: Despite homeless opioid dependent patients' social instability, greater comorbidities, and more chronic drug use, office-based opioid treatment with buprenorphine was effectively implemented in this population comparable to outcomes in housed patients with respect to treatment failure, illicit opioid use, and utilization of substance abuse treatment.

Project description:BackgroundOffice-based buprenorphine treatment of opioid use disorder (OUD) does not typically include in-person directly observed therapy (DOT), potentially leading to non-adherence. Video DOT technologies may safeguard against this issue and thus enhance likelihood of treatment success. We describe the rationale and protocol for the Trial of Adherence Application for Buprenorphine treatment (TAAB) study, a pilot randomized controlled trial (RCT) to evaluate the effects of video DOT delivered via a smartphone app on office-based buprenorphine treatment outcomes, namely illicit opioid use and retention.MethodsParticipants will be recruited from office-based opioid addiction treatment programs in outpatient clinics at two urban medical centers and randomized to either video DOT (intervention) delivered via a HIPAA-compliant, asynchronous, mobile health (mHealth) technology platform, or treatment-as-usual (control). Eligibility criteria are: 18 years or older, prescribed sublingual buprenorphine for a cumulative total of 28 days or less from the office-based opioid treatment program, and able to read and understand English. Patients will be considered ineligible if they are unable or unwilling to use the intervention, provide consent, or complete weekly study visits. All participants will complete 13 in-person weekly visits and be followed via electronic health record data capture at 12- and 24-weeks post-randomization. Data gathered include the following: demographics; current and previous treatment for OUD; self-reported diversion of prescribed buprenorphine; status of their mental and physical health; and self-reported lifetime and past 30-day illicit substance use. Participants provide urine samples at each weekly visit to test for illicit drugs and buprenorphine. The primary outcome is percentage of weekly urines that are negative for opioids over the 12-weeks. The secondary outcome is engagement in treatment at week 12.DiscussionVideo DOT delivered through mHealth technology platform offers possibility of improving patients' buprenorphine adherence by providing additional structure and accountability. The TAAB study will provide important preliminary estimates of the impact of this mHealth technology for patients initiating buprenorphine, as well as the feasibility of study procedures, thus paving the way for further research to assess feasibility and generate preliminary data for design of a future Phase III trial. Trial Registration ClinicalTrails.gov, NCT03779997, Registered on December 19, 2018.

Dataset Information

Mobile phone use patterns and preferences in safety net office-based buprenorphine patients.

Publications

Mobile phone use patterns and preferences in safety net office-based buprenorphine patients.

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