Adapting a home telemonitoring intervention for underserved Hispanic/Latino patients with type 2 diabetes: an acceptability and feasibility study

Background Home telemonitoring is a promising approach to optimizing outcomes for patients with Type 2 Diabetes; however, this care strategy has not been adapted for use with understudied and underserved Hispanic/Latinos (H/L) patients with Type 2 Diabetes. Methods A formative, Community-Based Participatory Research approach was used to adapt a home telemonitoring intervention to facilitate acceptability and feasibility for vulnerable H/L patients. Utilizing the ADAPT-ITT framework, key stakeholders were engaged over an 8-month iterative process using a combination of strategies, including focus groups and structured interviews. Nine Community Advisory Board, Patient Advisory, and Provider Panel Committee focus group discussions were conducted, in English and Spanish, to garner stakeholder input before intervention implementation. Focus groups and structured interviews were also conducted with 12 patients enrolled in a 1-month pilot study, to obtain feedback from patients in the home to further adapt the intervention. Focus groups and structured interviews were approximately 2 hours and 30 min, respectively. All focus groups and structured interviews were audio-recorded and professionally transcribed. Structural coding was used to mark responses to topical questions in the moderator and interview guides. Results Two major themes emerged from qualitative analyses of Community Advisory Board/subcommittee focus group data. The first major theme involved intervention components to maximize acceptance/usability. Subthemes included tablet screens (e.g., privacy/identity concerns; enlarging font sizes; lighter tablet to facilitate portability); cultural incongruence (e.g., language translation/literacy, foods, actors “who look like me”); nursing staff (e.g., ensuring accessibility; appointment flexibility); and, educational videos (e.g., the importance of information repetition). A second major theme involved suggested changes to the randomized control trial study structure to maximize participation, including a major restructuring of the consenting process and changes designed to optimize recruitment strategies. Themes from pilot participant focus group/structured interviews were similar to those of the Community Advisory Board such as the need to address and simplify a burdensome consenting process, the importance of assuring privacy, and an accessible, culturally congruent nurse. Conclusions These findings identify important adaptation recommendations from the stakeholder and potential user perspective that should be considered when implementing home telemonitoring for underserved patients with Type 2 Diabetes. Trial registration NCT03960424; ClinicalTrials.gov (US National Institutes of Health). Registered 23 May 2019. Registered prior to data collection. https://www.clinicaltrials.gov/ct2/show/NCT03960424?term=NCT03960424&draw=2&rank=1

[1]  N. Wallerstein,et al.  Using Community-Based Participatory Research to Address Health Disparities , 2006, Health promotion practice.

[2]  P. Harper,et al.  Students Against Nicotine and Tobacco Addiction (S.A.N.T.A.): Community-Based Participatory Research in a High-Risk Young Adult Population , 2008 .

[3]  J. Polisena,et al.  Home telehealth for diabetes management: a systematic review and meta‐analysis , 2009, Diabetes, obesity & metabolism.

[4]  Fernando A Wilson,et al.  Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials. , 2016, Diabetes research and clinical practice.

[5]  G. Wolf-Klein,et al.  A Telehealth-Delivered Pulmonary Rehabilitation Intervention in Underserved Hispanic and African American Patients With Chronic Obstructive Pulmonary Disease: A Community-Based Participatory Research Approach , 2020, JMIR formative research.

[6]  Adrienne Y. Stith,et al.  Unequal treatment: confronting racial and ethnic disparities in health care. , 2003 .

[7]  V. Chopra,et al.  Culturally Targeted Strategies for Diabetes Prevention in Minority Population , 2017, The Diabetes educator.

[8]  Mark Luborsky,et al.  The identification and analysis of themes and patterns. , 1994 .

[9]  Christine M Markham,et al.  Using Intervention Mapping to Adapt an Effective HIV, Sexually Transmitted Disease, and Pregnancy Prevention Program for High-Risk Minority Youth , 2005, Health promotion practice.

[10]  Arleen F. Brown,et al.  Gender and racial disparities in the management of diabetes mellitus among Medicare patients. , 2007, Women's health issues : official publication of the Jacobs Institute of Women's Health.

[11]  P. Savage,et al.  Disparities in incidence of diabetic end-stage renal disease according to race and type of diabetes. , 1989, The New England journal of medicine.

[12]  Richard E. Boyatzis,et al.  Transforming Qualitative Information: Thematic Analysis and Code Development , 1998 .

[13]  Theodore J Thompson,et al.  Trends in lifetime risk and years of life lost due to diabetes in the USA, 1985-2011: a modelling study. , 2014, The lancet. Diabetes & endocrinology.

[14]  Guy Paré,et al.  Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews , 2017, PloS one.

[15]  Richard M. Davis,et al.  TeleHealth Improves Diabetes Self-Management in an Underserved Community , 2010, Diabetes Care.

[16]  D. Hunt,et al.  The Inclusion of Ethnic Minority Patients and the Role of Language in Telehealth Trials for Type 2 Diabetes: A Systematic Review , 2016, Journal of medical Internet research.

[17]  Y. Jang,et al.  Standards of Medical Care in Diabetes-2010 by the American Diabetes Association: Prevention and Management of Cardiovascular Disease , 2010 .

[18]  P. Holkup,et al.  Community‐based Participatory Research: An Approach to Intervention Research With a Native American Community , 2004, ANS. Advances in nursing science.

[19]  K. Lui,et al.  Randomized consent designs for clinical trials: an update by M. Zelen, Statistics in Medicine 1990; 9: 645–656 , 2002, Statistics in medicine.

[20]  J. Pugh,et al.  Non-Insulin-Dependent Diabetes Mellitus in Minorities in the United States , 1996, Annals of Internal Medicine.

[21]  T. Mendelson,et al.  Utilizing Community-Based Participatory Research to Adapt a Mental Health Intervention for African American Emerging Adults , 2010, Progress in community health partnerships : research, education, and action.

[22]  N. Wallerstein,et al.  Community-based participatory research for health : from process to outcomes , 2008 .

[23]  Nathorn Chaiyakunapruk,et al.  Comparative effectiveness of telemedicine strategies on type 2 diabetes management: A systematic review and network meta-analysis , 2017, Scientific Reports.

[24]  L. Larkey,et al.  Latina recruitment for cancer prevention education via Community Based Participatory Research strategies. , 2009, Contemporary clinical trials.

[25]  R. Kahn,et al.  Improving Diabetes Care: The Model for Health Care Reform , 2009, Diabetes Care.

[26]  R. Klein,et al.  Is the Risk of Diabetic Retinopathy Greater in Non-Hispanic Blacks and Mexican Americans Than in Non-Hispanic Whites With Type 2 Diabetes?: A U.S. population study , 1998, Diabetes Care.

[27]  D. Matthews,et al.  Management of Hyperglycemia in Type 2 Diabetes: A Patient-Centered Approach , 2012, Diabetes Care.

[28]  R. Cicerone Initial National Priorities for Comparative Effectiveness Research , 2009 .

[29]  B. Israel,et al.  Community-based participatory research: policy recommendations for promoting a partnership approach in health research. , 2001, Education for health.

[30]  V. Della Mea,et al.  Web-Based Specialist Support for Spinal Cord Injury Person's Care: Lessons Learned , 2012, International journal of telemedicine and applications.

[31]  R. DiClemente,et al.  The ADAPT-ITT Model: A Novel Method of Adapting Evidence-Based HIV Interventions , 2008, Journal of acquired immune deficiency syndromes.

[32]  H. Bonilha,et al.  Behavioral interventions to improve glycemic control in African Americans with type 2 diabetes: a systematic review. , 2013, Ethnicity & disease.

[33]  A. Ribeiro,et al.  Telemedicine Application in the Care of Diabetes Patients: Systematic Review and Meta-Analysis , 2013, PloS one.

[34]  Eleanor McLellan,et al.  Codebook Development for Team-Based Qualitative Analysis , 1998 .

[35]  G. Reiber,et al.  Effects of ethnicity and nephropathy on lower-extremity amputation risk among diabetic veterans. , 2003, Diabetes care.

[36]  M. Peek Can mHealth Interventions Reduce Health Disparitiesamong Vulnerable Populations , 2017 .

[37]  M. Tonelli,et al.  Effect of telemedicine on glycated hemoglobin in diabetes: a systematic review and meta-analysis of randomized trials , 2016, Canadian Medical Association Journal.

[38]  N. Artinian,et al.  Effects of home telemonitoring and community-based monitoring on blood pressure control in urban African Americans: a pilot study. , 2001, Heart & lung : the journal of critical care.

[39]  Charlotte Wilson,et al.  Patient access to healthcare services and optimisation of self-management for ethnic minority populations living with diabetes: a systematic review. , 2012, Health & social care in the community.

[40]  Walter Palmas,et al.  Adherence to diabetes self care for white, African-American and Hispanic American telemedicine participants: 5 year results from the IDEATel project , 2013, Ethnicity & health.

[41]  Racial and Ethnic Disparities in the Quality of Diabetes Care for the Elderly in a Nationally Representative Sample , 2012 .

[42]  Vivek K. Bajpai,et al.  Antioxidant efficacy and the upregulation of Nrf2-mediated HO-1 expression by (+)-lariciresinol, a lignan isolated from Rubia philippinensis, through the activation of p38 , 2017, Scientific Reports.

[43]  Rodney A Hayward,et al.  Mechanisms for racial and ethnic disparities in glycemic control in middle-aged and older Americans in the health and retirement study. , 2007, Archives of internal medicine.

[44]  Jennifer Y. Liu,et al.  Ethnic disparities in diabetic complications in an insured population. , 2002, JAMA.

[45]  B. Smedley,et al.  Unequal Treatment: Con-fronting Racial and Ethnic Disparities in Health Care , 2002 .

[46]  Zixiang Wu,et al.  Evaluation of the clinical outcomes of telehealth for managing diabetes , 2018, Medicine.

[47]  Alison B. Hamilton,et al.  How Do Low-Income Urban African Americans and Latinos Feel about Telemedicine? A Diffusion of Innovation Analysis , 2012, International journal of telemedicine and applications.

[48]  Michael A. Joseph,et al.  Barbershop Talk With Brothers: using community-based participatory research to develop and pilot test a program to reduce HIV risk among Black heterosexual men. , 2014, AIDS education and prevention : official publication of the International Society for AIDS Education.

[49]  James J. Cimino,et al.  Research Paper: A Randomized Trial Comparing Telemedicine Case Management with Usual Care in Older, Ethnically Diverse, Medically Underserved Patients with Diabetes Mellitus: 5 Year Results of the IDEATel Study , 2009, J. Am. Medical Informatics Assoc..