What matters when exploring fidelity when using health IT to reduce disparities?

Background Implementation of evidence-based interventions often involves strategies to engage diverse populations while also attempting to maintain external validity. When using health IT tools to deliver patient-centered health messages, systems-level requirements are often at odds with ‘on-the ground’ tailoring approaches for patient-centered care or ensuring equity among linguistically diverse populations. Methods We conducted a fidelity and acceptability-focused evaluation of the STAR MAMA Program, a 5-month bilingual (English and Spanish) intervention for reducing diabetes risk factors among 181 post-partum women with recent gestational diabetes. The study’s purpose was to explore fidelity to pre-determined ‘core’ (e.g. systems integration) and ‘modifiable’ equity components (e.g. health coaching responsiveness, and variation by language) using an adapted implementation fidelity framework. Participant-level surveys, systems-level databases of message delivery, call completion, and coaching notes were included. Results 96.6% of participants are Latina and 80.9% were born outside the US. Among those receiving the STAR MAMA intervention; 55 received the calls in Spanish (61%) and 35 English (39%). 90% (n = 81) completed ≥ one week. Initially, systems errors were common, and increased triggers for health coach call-backs. Although Spanish speakers had more triggers over the intervention period, the difference was not statistically significant. Of the calls triggering a health coach follow-up, attempts were made for 85.4% (n = 152) of the English call triggers and for 80.0% (n = 279) of the Spanish call triggers (NS). Of attempted calls, health coaching calls were complete for 55.6% (n = 85) of English-language call triggers and for 56.6% of Spanish-language call triggers (NS). Some differences in acceptability were noted by language, with Spanish-speakers reporting higher satisfaction with prevention content ( p  = < 0.01) and English-speakers reporting health coaches were less considerate of their time ( p  = 0.03). Conclusions By exploring fidelity by language-specific factors, we identified important differences in some but not all equity indicators, with early systems errors quicky remedied and high overall engagement and acceptability. Practice implications include: (1) establishing criteria for languge-equity in interventions, (2) planning for systems level errors so as to reduce their impact between language groups and over time; and (3) examining the impact of engagement with language-concordant interventions on outcomes, including acceptability. Trial Registration National Clinical Trials registration number: CT02240420 Registered September 15, 2014. ClinicalTrials.gov.

[1]  L. Egede,et al.  Associations between health literacy, diabetes knowledge, self-care behaviors, and glycemic control in a low income population with type 2 diabetes. , 2011, Diabetes technology & therapeutics.

[2]  What impact do chronic disease self-management support interventions have on health inequity gaps related to socioeconomic status: a systematic review , 2020, BMC Health Services Research.

[3]  F. Hamilton,et al.  Crossing the Digital Divide in Online Self-Management Support: Analysis of Usage Data From HeLP-Diabetes , 2018, JMIR diabetes.

[4]  Henna Hasson,et al.  Systematic evaluation of implementation fidelity of complex interventions in health and social care , 2010, Implementation science : IS.

[5]  Henna Hasson,et al.  Fidelity and moderating factors in complex interventions: a case study of a continuum of care program for frail elderly people in health and social care , 2012, Implementation Science.

[6]  G. Aarons,et al.  The Value Equation: Three complementary propositions for reconciling fidelity and adaptation in evidence-based practice implementation , 2019, BMC Health Services Research.

[7]  Josip Car,et al.  Automated telephone communication systems for preventive healthcare and management of long-term conditions. , 2016, The Cochrane database of systematic reviews.

[8]  D. Pérez,et al.  A modified theoretical framework to assess implementation fidelity of adaptive public health interventions , 2015, Implementation Science.

[9]  J. Cowell,et al.  Attention to Fidelity , 2012, The Journal of school nursing : the official publication of the National Association of School Nurses.

[10]  M. Friedberg,et al.  Comparing the implementation of team approaches for improving diabetes care in community health centers , 2014, BMC Health Services Research.

[11]  J. Piette,et al.  Diabetes self-management support using mHealth and enhanced informal caregiving. , 2014, Journal of diabetes and its complications.

[12]  Ross C. Brownson,et al.  A review of policy dissemination and implementation research funded by the National Institutes of Health, 2007–2014 , 2015, Implementation Science.

[13]  H. Teede,et al.  Acceptability of delivery modes for lifestyle advice in a large scale randomised controlled obesity prevention trial , 2015, BMC Public Health.

[14]  D. Schillinger,et al.  Cost-Effectiveness of Automated Telephone Self-Management Support With Nurse Care Management Among Patients With Diabetes , 2008, The Annals of Family Medicine.

[15]  L. Fisher,et al.  Applying the COM-B model to creation of an IT-enabled health coaching and resource linkage program for low-income Latina moms with recent gestational diabetes: the STAR MAMA program , 2015, Implementation Science.

[16]  S. Michie,et al.  The behaviour change wheel: A new method for characterising and designing behaviour change interventions , 2011, Implementation science : IS.

[17]  Christopher V. Almario,et al.  Persistent digital divide in access to and use of the Internet as a resource for health information: Results from a California population-based study , 2017, Int. J. Medical Informatics.

[18]  Ross C. Brownson,et al.  Dissemination and implementation research in health : translating science to practice , 2012 .

[19]  U. Sarkar,et al.  Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims , 2018, BMC Health Services Research.

[20]  Karandeep Singh,et al.  The Spanish Availability and Readability of Diabetes Apps , 2018, Journal of diabetes science and technology.

[21]  G. Sendlhofer,et al.  A systematic literature review and narrative synthesis on the risks of medical discharge letters for patients’ safety , 2019, BMC Health Services Research.

[22]  M. Handley,et al.  Linking High Risk Postpartum Women with a Technology Enabled Health Coaching Program to Reduce Diabetes Risk and Improve Wellbeing: Program Description, Case Studies, and Recommendations for Community Health Coaching Programs , 2016, Journal of diabetes research.

[23]  K. Quek,et al.  Randomised-controlled trial of a web-based dietary intervention for patients with type 2 diabetes: changes in health cognitions and glycemic control , 2018, BMC Public Health.

[24]  Ross C. Brownson,et al.  Dissemination and implementation research in health : translating science to practice , 2012 .

[25]  M. Eccles,et al.  Welcome to Implementation Science , 2006, Implementation Science.

[26]  J. Alvidrez,et al.  Diabetes Care in Latinos With Limited English Proficiency: What Do Language Concordant Clinicians Add? , 2017, JAMA internal medicine.

[27]  Dean Schillinger,et al.  Effects of Self-Management Support on Structure, Process, and Outcomes Among Vulnerable Patients With Diabetes , 2009, Diabetes Care.

[28]  Christine Hamel,et al.  Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies , 2017, Journal of medical Internet research.

[29]  Mihiretu M. Kebede,et al.  Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media , 2019, Front. Endocrinol..

[30]  Sara J. Landes,et al.  An introduction to effectiveness-implementation hybrid designs , 2019, Psychiatry Research.

[31]  L. Whitehead,et al.  The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review , 2016, Journal of medical Internet research.

[32]  Andrew Booth,et al.  Implementation Science BioMed Central Debate A conceptual framework for implementation fidelity , 2007 .

[33]  C. Lyles,et al.  Assessing Mobile Phone Digital Literacy and Engagement in User-Centered Design in a Diverse, Safety-Net Population: Mixed Methods Study , 2019, JMIR mHealth and uHealth.

[34]  Jean-Michel Oppert,et al.  A Fully Automated Web-Based Program Improves Lifestyle Habits and HbA1c in Patients With Type 2 Diabetes and Abdominal Obesity: Randomized Trial of Patient E-Coaching Nutritional Support (The ANODE Study) , 2017, Journal of medical Internet research.

[35]  D. Sherifali,et al.  Peer support interventions in type 2 diabetes: Review of components and process outcomes , 2020, Journal of diabetes.

[36]  M. Handley,et al.  An Exploratory Analysis of Factors Associated with Low Risk Perception for Developing Type 2 Diabetes amongst Low-income, Primarily Latina Women with prior Gestational Diabetes Mellitus , 2020 .

[37]  Publisher's Note , 2018, Anaesthesia.

[38]  D. Schillinger,et al.  Update on Health Literacy and Diabetes , 2014, The Diabetes educator.

[39]  U. Sarkar,et al.  Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis. , 2015, Population health management.

[40]  Dean Schillinger,et al.  Seeing in 3-D: Examining the Reach of Diabetes Self-Management Support Strategies in a Public Health Care System , 2008, Health education & behavior : the official publication of the Society for Public Health Education.

[41]  Melissa M. Parker,et al.  Association of Patient-Physician Language Concordance and Glycemic Control for Limited–English Proficiency Latinos With Type 2 Diabetes , 2017, JAMA internal medicine.

[42]  H. Hasson,et al.  Colliding ideals – an interview study of how intervention researchers address adherence and adaptations in replication studies , 2018, BMC Medical Research Methodology.

[43]  F. Gany,et al.  A Systematic Review of the Impact of Patient–Physician Non-English Language Concordance on Quality of Care and Outcomes , 2019, Journal of General Internal Medicine.

[44]  Lars Wallin,et al.  Individual determinants of research utilization by nurses: a systematic review update , 2011, Implementation science : IS.