A randomized trial evaluating an mHealth system to monitor and enhance adherence to pharmacotherapy for alcohol use disorders

Stoner, Susan A.; Hendershot, Christian S.

doi:10.1186/1940-0640-7-9

Cited by 27 publications

(24 citation statements)

References 40 publications

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“…With advances in computing technology, a number of researchers have developed interventions that can be administered on electronic devices (Rizvi, Dimeff, Skutch, Carroll, & Linehan, 2011; Stoner & Hendershot, 2012; Watts et al, 2013). There are many advantages of computerized interventions, including 24-hour availability, anonymity, portability, increased compliance, and accurate data recording (Heron & Smyth, 2010).…”

Section: The Promise Of Mobile Interventionsmentioning

confidence: 99%

Development and evaluation of a mobile intervention for heavy drinking and smoking among college students.

Witkiewitz

Desai

Bowen

et al. 2014

Psychology of Addictive Behaviors

130

178

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Nearly all college student smokers also drink alcohol, and smoking and heavy-episodic drinking (HED) commonly co-occur. However, few studies have examined the factors that concurrently influence smoking and HED among college students and, to date, no interventions have been developed that target both HED and smoking in this population. The objective of the current study was to develop and evaluate a mobile feedback intervention that targeted HED and smoking. Participants (n = 94) were non-treatment seeking college students (mean age = 20.5, SD=1.7) who engaged in at least one HED episode in the past two weeks and reported concurrent smoking and drinking at least once a week. Participants were randomized to either receive the mobile intervention for 14 days, complete mobile assessments (without intervention) for 14 days, or complete minimal assessments (without intervention or mobile assessments). At a 1-month follow-up, in comparison to the minimal assessment condition we observed significant reductions in the number of cigarettes per smoking day in both the mobile intervention (d=0.55) and mobile assessment conditions (d=0.45). Among those randomized to the mobile intervention, receiving more modules of the intervention was significantly associated with a lower likelihood of any drinking during the 14-day assessment period and significant reductions in smoking at 1-month follow-up. The mobile intervention did not result in significant reductions in HED or concurrent smoking and drinking. Future research should continue to examine ways of using technology and the real-time environment to improve interventions for HED and smoking.

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Section: The Promise Of Mobile Interventionsmentioning

confidence: 99%

Development and evaluation of a mobile intervention for heavy drinking and smoking among college students.

Witkiewitz

Desai

Bowen

et al. 2014

Psychology of Addictive Behaviors

130

178

View full text Add to dashboard Cite

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“…A few studies evaluated the effect of mobile telephone-based interventions on medication adherence 17–20. Two randomized controlled trials demonstrated that integration of mobile telephone intervention into antiretroviral therapy management improved patients’ adherence to therapy.…”

Section: Discussionmentioning

confidence: 99%

Improving adherence to acne treatment: the emerging role of application software

Park¹,

Kim²,

Patel³

et al. 2014

CCID

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ObjectiveTo examine recent studies on the effect of mobile and electronic (ME)-health technology on adherence to acne treatment.BackgroundWith emerging use of ME-health technology, there is a growing interest in evaluating the effectiveness of the tools on medication adherence. Examples of ME-health technology-based tools include text message-based pill reminders and Web-based patient education.MethodsMEDLINE, Cochrane Library, and Web of Science were searched for articles on adherence to acne treatment published through November 2013. A combination of search terms such as “acne” and “adherence” or “compliance” were used.ResultsAdherence to oral acne medication was higher than for topical acne medication. The frequency of office visits was also an influencing factor for acne treatment adherence. The telephone-based reminders on a daily basis did not improve acne patients’ medication adherence, whereas the Web-based educational tools on a weekly basis had a positive effect on medication adherence in acne treatment.ConclusionIn using ME-health interventions, factors such as medication dosage forms, frequency of intervention, and patients’ preferences should be taken into consideration. Developing disease-specific text message reminders may be helpful to increase adherence rates. In addition, a combination of text message reminders with another type of intervention may improve medication adherence.

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“…Fatores de Não Adesão 1. Efeitos colaterais e adversos da medicação (12,15,18,20,22,26,32,40,41) 2. Longo tempo de tratamento medicamentoso (11,15,33,36,38,(42)(43)(44)(45) 3.…”

Section: Dimensão Tratamentounclassified

Dimensões Que Interferem Na Adesão À Medicação Nos Transtornos Relacionados Às Substâncias: Revisão Integrativa

Capistrano

Maftum²,

Alcantara

et al. 2019

Cogitare Enferm.

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Objetivo: Analisar a produção científica acerca das dimensões que interferem na adesão à terapêutica medicamentosa de pessoas com transtornos mentais relacionados ao uso de substância, no período de 2006 a abril de 2017.Método: Revisão Integrativa da Literatura a partir de três bancos de dados, LILACS, CINAHL e PUBMED, realizada em abril de 2017.Resultados: Foram analisados 43 estudos que atendiam aos critérios de elegibilidade. A análise dos estudos possibilitou identificar fatores que impactam positiva ou negativamente a adesão à terapêutica medicamentosa, agrupados de acordo com as cinco dimensões determinantes para a adesão proposta pela Organização Mundial da Saúde, sendo elas: socioeconômica, equipe/sistema de saúde, doença, tratamento, e indivíduo/paciente.Conclusão: Embora a terapêutica medicamentosa seja imprescindível no gerenciamento da pessoa com transtorno relacionado a substâncias, muitas vezes representa um desafio devido às diferentes dimensões interativas que influenciam diretamente no processo de adesão.

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A randomized trial evaluating an mHealth system to monitor and enhance adherence to pharmacotherapy for alcohol use disorders

Cited by 27 publications

References 40 publications

Development and evaluation of a mobile intervention for heavy drinking and smoking among college students.

Development and evaluation of a mobile intervention for heavy drinking and smoking among college students.

Improving adherence to acne treatment: the emerging role of application software

Dimensões Que Interferem Na Adesão À Medicação Nos Transtornos Relacionados Às Substâncias: Revisão Integrativa

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