Promoting cardiovascular health and wellness among African-Americans: Community participatory approach to design an innovative mobile-health intervention

Background Despite improvements in mortality rates over the past several decades, cardiovascular (CV) disease remains the leading cause of death for African-Americans (AAs). Innovative approaches through mobile health (mHealth) interventions have the potential to support lifestyle change for CV disease prevention among AAs. We aimed to translate a behavioral theory–informed, evidence-based, face-to-face health education program into an mHealth lifestyle intervention for AAs. We describe the design and development of a culturally relevant, CV health and wellness digital application (app) and pilot testing using a community-based participatory research (CBPR) approach with AA churches. Methods This mixed methods study used a 4-phase iterative development process for intervention design with the AA community. Phase 1 included focus groups with AA community members and church partners (n = 23) to gain insight regarding potential app end user preferences. In Phase 2, the interdisciplinary research team synthesized Phase 1 input for preliminary app design and content development. Phase 3 consisted of a sequential 3-meeting series with church partners (n = 13) for iterative app prototyping (assessment, cultural tailoring, final review). Phase 4, a single group pilot study among AA church congregants (n = 50), assessed app acceptability, usability, and satisfaction. Results Phase 1 focus groups indicated general and health-related apps preferences: multifunctional, high-quality graphics/visuals, evidence-based, yet simple health information and social networking capability. Phase 2 integrated these preferences into the preliminary app prototype. Phase 3 feedback was used to refine the app prototype for pilot testing. Phase 4 pilot testing indicated high app acceptability, usability, and satisfaction. Conclusions This study illustrates integration of formative and CBPR approaches to design a culturally relevant, mHealth lifestyle intervention to address CV health disparities among AAs. Given the positive app perceptions, our study supports the use of an iterative development process by others interested in implementing an mHealth lifestyle intervention for racial/ethnic minority communities. Trial registration Clinicaltrials.gov NCT03084822.

[1]  C. Patten,et al.  Preventing cardiovascular disease: Participant perspectives of the FAITH! Program , 2019, Journal of health psychology.

[2]  Francesca N. Delling,et al.  Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association , 2019, Circulation.

[3]  S. Islam,et al.  Theories Applied to m-Health Interventions for Behavior Change in Low- and Middle-Income Countries: A Systematic Review , 2018, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[4]  Jessica S. Ancker,et al.  Good intentions are not enough: how informatics interventions can worsen inequality , 2018, J. Am. Medical Informatics Assoc..

[5]  James Brian Byrd,et al.  Reach Out Churches: A Community-Based Participatory Research Pilot Trial to Assess the Feasibility of a Mobile Health Technology Intervention to Reduce Blood Pressure Among African Americans , 2018, Health promotion practice.

[6]  Misha Pavel,et al.  Designing and Evaluating mHealth Interventions for Vulnerable Populations: A Systematic Review , 2018, CHI.

[7]  C. W. Brown,et al.  STEPS to a Healthier Heart: Improving Coronary Heart Disease (CHD) Knowledge Among African American Women , 2018 .

[8]  C. Patten,et al.  mHealth Intervention Promoting Cardiovascular Health Among African-Americans: Recruitment and Baseline Characteristics of a Pilot Study , 2018, JMIR research protocols.

[9]  Rebecca Schnall,et al.  Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study , 2018, JMIR mHealth and uHealth.

[10]  C. Yancy,et al.  Cardiovascular Health in African Americans: A Scientific Statement From the American Heart Association , 2017, Circulation.

[11]  Keon L. Gilbert,et al.  Missed Opportunity? Leveraging Mobile Technology to Reduce Racial Health Disparities. , 2017, Journal of health politics, policy and law.

[12]  Lucy Yardley,et al.  Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop , 2017, Journal of medical Internet research.

[13]  LaPrincess C. Brewer,et al.  Fostering African-American Improvement in Total Health (FAITH!): An Application of the American Heart Association’s Life’s Simple 7™ among Midwestern African-Americans , 2017, Journal of Racial and Ethnic Health Disparities.

[14]  K. Yeates,et al.  A Framework for the Study of Complex mHealth Interventions in Diverse Cultural Settings , 2017, JMIR mHealth and uHealth.

[15]  P. Stone,et al.  What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions , 2017, PloS one.

[16]  Bradley Witbrodt,et al.  THE FUTURE OF MOBILE HEALTH APPLICATIONS AND DEVICES IN CARDIOVASCULAR HEALTH. , 2017, European medical journal. Innovations.

[17]  D. James,et al.  eHealth Literacy, Online Help-Seeking Behavior, and Willingness to Participate in mHealth Chronic Disease Research Among African Americans, Florida, 2014–2015 , 2016, Preventing chronic disease.

[18]  E. Rimm,et al.  Sick Populations and Sick Subpopulations: Reducing Disparities in Cardiovascular Disease Between Blacks and Whites in the United States , 2016, Circulation.

[19]  M. Zimmerman,et al.  Stroke Ready Intervention: Community Engagement to Decrease Prehospital Delay , 2016, Journal of the American Heart Association.

[20]  Leah R. Yingling,et al.  Community Engagement to Optimize the Use of Web-Based and Wearable Technology in a Cardiovascular Health and Needs Assessment Study: A Mixed Methods Approach , 2016, JMIR mHealth and uHealth.

[21]  Lee M Ritterband,et al.  Special issue on eHealth and mHealth: Challenges and future directions for assessment, treatment, and dissemination. , 2015, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[22]  B. Spring,et al.  Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association. , 2015, Circulation.

[23]  Susan Darlow,et al.  Development of an Internet Intervention to Address Behaviors Associated with Skin Cancer Risk among Young Adults. , 2015, Internet interventions.

[24]  Naihua Duan,et al.  Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research , 2015, Administration and Policy in Mental Health and Mental Health Services Research.

[25]  Ralph Maddison,et al.  A mobile phone intervention increases physical activity in people with cardiovascular disease: Results from the HEART randomized controlled trial , 2015, European journal of preventive cardiology.

[26]  Martin F Mendiola,et al.  Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings , 2015, JMIR mHealth and uHealth.

[27]  B. Israel,et al.  Effectiveness of a Walking Group Intervention to Promote Physical Activity and Cardiovascular Health in Predominantly Non-Hispanic Black and Hispanic Urban Neighborhoods , 2015, Health education & behavior : the official publication of the Society for Public Health Education.

[28]  J. Bernhardt,et al.  Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature , 2015, JMIR mHealth and uHealth.

[29]  Ara Darzi,et al.  Smartphone breast applications - what's the evidence? , 2014, Breast.

[30]  Dori M. Steinberg,et al.  Electronic health (eHealth) interventions for weight management among racial/ethnic minority adults: a systematic review , 2014, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[31]  Xinwen Fu,et al.  Customizable, scalable and reliable community-based mobile health interventions , 2014, MobileHealth '14.

[32]  J. Kotarba Symbolic Interaction and Applied Social Research: A FOCUS ON TRANSLATIONAL SCIENCE RESEARCH1. , 2014, Symbolic interaction.

[33]  G. Lewith,et al.  Developing Digital Interventions: A Methodological Guide , 2014, Evidence-based complementary and alternative medicine : eCAM.

[34]  Su-I Hou,et al.  Systematic literature review of Internet interventions across health behaviors , 2014, Health psychology and behavioral medicine.

[35]  Y. Taylor,et al.  Examining Characteristics of Congregation Members Willing to Attend Health Promotion in African American Churches , 2014, Health promotion practice.

[36]  Michael D Fetters,et al.  Achieving integration in mixed methods designs-principles and practices. , 2013, Health services research.

[37]  S. Bauer-Wu,et al.  Cultural humility: essential foundation for clinical researchers. , 2013, Applied nursing research : ANR.

[38]  Alison Rein,et al.  Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities , 2013, Journal of medical Internet research.

[39]  Lawrence C. An,et al.  Community-Based Participatory Research and User-Centered Design in a Diabetes Medication Information and Decision Tool , 2013, Progress in community health partnerships : research, education, and action.

[40]  S. Shanedling,et al.  The Minnesota Heart Disease and Stroke Prevention Plan 2011-2020: a progress report. , 2013, Minnesota medicine.

[41]  L. Strycker,et al.  Cultural adaptations of behavioral health interventions: a progress report. , 2013, Journal of consulting and clinical psychology.

[42]  L. Mosca,et al.  Fifteen-Year Trends in Awareness of Heart Disease in Women: Results of a 2012 American Heart Association National Survey , 2013, Circulation.

[43]  Amanda J. Dillard,et al.  Using a Health Message With a Testimonial to Motivate Colon Cancer Screening , 2013, Health education & behavior : the official publication of the Society for Public Health Education.

[44]  Lee M Ritterband,et al.  Using Instructional Design Process to Improve Design and Development of Internet Interventions , 2012, Journal of medical Internet research.

[45]  Karen Waltorp Smartphone? , 2011, Skipr.

[46]  D. West,et al.  Feasibility of an Evidence-Based Weight Loss Intervention for a Faith-Based, Rural, African American Population , 2011, Preventing chronic disease.

[47]  Anne L. Taylor,et al.  The DHHS Office on Women's Health Initiative to Improve Women's Heart Health: focus on knowledge and awareness among women with cardiometabolic risk factors. , 2011, Journal of women's health.

[48]  W. Nilsen,et al.  Health behavior models in the age of mobile interventions: are our theories up to the task? , 2011, Translational behavioral medicine.

[49]  J. M. Christian Bastien,et al.  Usability testing: a review of some methodological and technical aspects of the method , 2010, Int. J. Medical Informatics.

[50]  Boris P. Kovatchev,et al.  A Behavior Change Model for Internet Interventions , 2009, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[51]  C. Tufanaru,et al.  Health Belief Model , 2009 .

[52]  W. Santamore,et al.  Cardiovascular Disease Knowledge and Risk Perception Among Underserved Individuals at Increased Risk of Cardiovascular Disease , 2008, The Journal of cardiovascular nursing.

[53]  K. Resnicow,et al.  Church-based health promotion interventions: evidence and lessons learned. , 2007, Annual review of public health.

[54]  E. Brink,et al.  Constructing grounded theory : A practical guide through qualitative analysis , 2006 .

[55]  B. Israel,et al.  Methods in Community-Based Participatory Research for Health , 2005 .

[56]  J. Berry,et al.  Health programs in faith-based organizations: are they effective? , 2004, American journal of public health.

[57]  R. Thackeray,et al.  Application of the SMART Model in Two Successful Social Marketing Projects , 2002 .

[58]  H. Blumer,et al.  Symbolic Interactionism: Perspective and Method , 1988 .

[59]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[60]  Effective Interventions in Reducing Disparities in Healthcare and Health Outcomes in Selected Conditions , 2017 .

[61]  J. P. Higgins,et al.  Smartphone Applications for Patients' Health and Fitness. , 2016, The American journal of medicine.

[62]  Jan A. G. M. van Dijk,et al.  Defining Internet Skills , 2014 .

[63]  J. Wagner,et al.  Knowledge of heart disease risk among spanish speakers with diabetes: the role of interpreters in the medical encounter. , 2005, Ethnicity & disease.

[64]  D. Cotton,et al.  A model of community mobilization for the prevention of HIV in women and infants. Prevention of HIV in Women and Infants Demonstration Projects. , 1996, Public health reports.