scholarly journals Habit Strength, Medication Adherence, and Habit-Based Mobile Health Interventions Across Chronic Medical Conditions: Systematic Review

10.2196/17883 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e17883 ◽  
Author(s):  
Sherif M Badawy ◽  
Richa Shah ◽  
Usman Beg ◽  
Mallorie B Heneghan

Background Unintentional medication nonadherence is common and has been associated with poor health outcomes and increased health care costs. Earlier research demonstrated a relationship between habit strength and medication adherence. Previous research also examined a habit’s direct effect on adherence and how habit interacts with more conscious factors to influence or overrule them. However, the relationship between habit and adherence and the role of habit-based mobile health (mHealth) interventions remain unclear. Objective This review aimed to systematically evaluate the most recent evidence for habit strength, medication adherence, and habit-based mHealth interventions across chronic medical conditions. Methods A keyword search with combinations of the terms habit, habit strength, habit index, medication adherence, and medication compliance was conducted on the PubMed database. After duplicates were removed, two authors conducted independent abstract and full-text screening. The guidelines for the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were followed when reporting evidence across the included and reviewed studies. Results Of the 687 records examined, 11 met the predefined inclusion criteria and were finalized for data extraction, grading, and synthesis. Most included studies (6/11, 55%) were cross-sectional and used a theoretical model (8/11, 73%). The majority of studies measured habit strength using the self-report habit index and self-report behavioral automaticity index (9/11, 82%). Habit strength was positively correlated with medication adherence in most studies (10/11, 91%). Habit mediated the effects of self-efficacy on medication adherence (1/11, 9%), and social norms moderated the effects of habit strength on medication adherence (1/11, 9%). Habit strength also moderated the effects of poor mental health symptoms and medication adherence (1/11, 9%). None of the included studies reported on using or proposing a habit-based mHealth behavioral intervention to promote medication adherence. Conclusions Habit strength was strongly correlated with medication adherence, and stronger habit was associated with higher medication adherence rates, regardless of the theoretical model and/or guiding framework. Habit-based interventions should be used to increase medication adherence, and these interventions could leverage widely available mobile technology tools such as mobile apps or text messaging, and existing routines.

2018 ◽  
Author(s):  
Monika Marko-Holguin ◽  
Stephanie Luz Cordel ◽  
Benjamin William Van Voorhees ◽  
Joshua Fogel ◽  
Emily Sykes ◽  
...  

BACKGROUND Two-way interactive text messaging between patient and community health workers (CHWs) through mobile phone SMS (short message service) text messaging is a form of digital health that can potentially enhance patient engagement in young adults and families that have a child with chronic medical conditions such as diabetes mellitus, sickle cell disease, and asthma. These patients have complex needs, and a user-centered way can be useful for designing a tool to address their needs. OBJECTIVE The aim of this study was to utilize the user-centered approach of design thinking to develop a two-way interactive communication SMS text messaging tool for communication between patients or caregivers and CHWs. METHODS We applied a design thinking methodology for development of the SMS text messaging tool. We collected qualitative data from 127 patients/caregivers and 13 CHWs, health care professionals, and experts. In total, 4 iterative phases were used to design the final prototype. RESULTS The design thinking process led to the final SMS text messaging tool that was transformed from a one-dimensional, template-driven prototype (phases 1 and 2) into a dynamic, interactive, and individually tailored tool (phases 3 and 4). The individualized components consider social factors that influence patients’ ability to engage such as transportation issues and appointment reminders. SMS text messaging components also include operational factors to support staff such as patient contact lists, SMS text messaging templates, and technology chat support. CONCLUSIONS Design thinking can develop a tool to meet the engagement needs of patients with complex health care needs and be user-friendly for health care staff.


2019 ◽  
Vol 5 ◽  
pp. 233372141985566 ◽  
Author(s):  
Marta E. Pagan-Ortiz ◽  
Paul Goulet ◽  
Laura Kogelman ◽  
Sue E. Levkoff ◽  
Patricia Flynn Weitzman

Antiretroviral therapy (ART) is the primary treatment for HIV, and adherence to it is crucial to addressing health disparities. Approximately half of individuals in the United States living with HIV are African Americans, and those over 45 years of age are more likely to die early from HIV/AIDS than their White counterparts. This mixed-method pilot study evaluated the feasibility of a text-based mobile phone intervention designed to improve ART adherence among older African Americans with HIV. Feasibility was assessed via implementation, participant adherence, acceptability, and satisfaction, as well as short-term impact on medication adherence, adherence-related self-efficacy, and positive affect. The intervention utilized pill reminder, motivational, and health educational texts. Participants ( N = 21) ranged in age from 50 to 68 years. Outcomes were evaluated via quantitative results from self-report measures and qualitative data from four focus groups. There was no attrition in participation. After 8 weeks, participants reported statistically significant improvements in medication adherence, but not in self-efficacy or affect scores. Qualitative findings highlight the psychologically supportive potential of the intervention, challenges to adherence, as well as suggestions for improvement. The study demonstrates that a text messaging intervention may be feasible for older African Americans with HIV, and helpful in supporting ART adherence.


2019 ◽  
Vol 5 ◽  
pp. 205520761988218 ◽  
Author(s):  
Asos Mahmood ◽  
Satish Kedia ◽  
David K Wyant ◽  
SangNam Ahn ◽  
Soumitra S Bhuyan

Background Chronic medical conditions (CCs) are leading causes of morbidity and mortality in the United States. Strategies to control CCs include targeting unhealthy behaviors, often through the use of patient empowerment tools, such as mobile health (mHealth) technology. However, no conclusive evidence exists that mHealth applications (apps) are effective among individuals with CCs for chronic disease self-management. Methods We used data from the Health Information National Trends Survey (HINTS 5, Cycle 1, 2017). A sample of 1864 non-institutionalized US adults (≥18 years) who had a smartphone and/or a tablet computer and at least one CC was analyzed. Using multivariable logistic regressions, we assessed predisposing, enabling, and need predictors of three health-promoting behaviors (HPBs): tracking progress on a health-related goal, making a health-related decision, and health-related discussions with a care provider among smart device and mHealth apps owners. Results Compared to those without mHealth apps, individuals with mHealth apps had significantly higher odds of using their smart devices to track progress on a health-related goal (adjusted odds ratio (aOR) 8.74, 95% confidence interval (CI): 5.66–13.50, P <  .001), to make a health-related decision (aOR 1.77, 95% CI: 1.16–2.71, P <  .01) and in health-related discussions with care providers (aOR 2.0, 95% CI: 1.26–3.19, P <  .01). Other significant factors of at least one type of HPB among smart device and mHealth apps users were age, gender, education, occupational status, having a regular provider, and self-rated general health. Conclusion mHealth apps are associated with increased rates of HPB among individuals with CCs. However, certain groups, like older adults, are most affected by a digital divide where they have lower access to mHealth apps and thus are not able to take advantage of these tools. Rigorous randomized clinical trials among various segments of the population and different health conditions are needed to establish the effectiveness of these mHealth apps. Healthcare providers should encourage validated mHealth apps for patients with CCs.


10.2196/11833 ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. e11833 ◽  
Author(s):  
Monika Marko-Holguin ◽  
Stephanie Luz Cordel ◽  
Benjamin William Van Voorhees ◽  
Joshua Fogel ◽  
Emily Sykes ◽  
...  

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