Impact of the COVID-19 Pandemic on Dietary Counseling Session Attendance and Self-Monitoring Adherence Dur034 a Behavioral Weight Loss Intervention

Objectives

To assess the impact of the COVID-19 pandemic on participants’ intervention counseling session attendance and dietary self-monitoring adherence during the Personal Diet Study, a remote behavioral weight loss intervention for individuals with overweight and obesity with pre-diabetes and moderately controlled type 2 diabetes.

Methods

Participants (n = 200) were instructed to complete four in-person measurement visits, enter their meals daily in a smartphone application, and attend 14 virtual group nutrition counseling sessions over a 6-month intervention period. Due to COVID-19, the assessments were modified to be conducted remotely. We stratified participants into 3 categories: a) all study measures and intervention occurred before the start of the COVID-19 pandemic (BEFORE, n = 106) b) a portion of the intervention or follow-up measures occurred after the start of the pandemic (MIXED, n = 54), and 3) all study measures and intervention took place after the start of the pandemic (AFTER, n = 40). Attendance was defined as percentage of counseling intervention sessions attended. Dietary self-monitoring adherence was measured as percentage of days participants entered at least 50% of their daily caloric goal in a smart phone application. Between-group differences were assessed using linear regression models.

Results

Mean [SD] counseling session attendance for the MIXED (72.6%, [28.9%]) and AFTER (73.8% [28.1%]) groups did not differ from the BEFORE group (64.5% [31.8%]), p = 0.26 and 0.22 respectively. Adherence to dietary self-monitoring was lower for the MIXED group (25.5% [30.55]) compared to BEFORE group (36.0% [34.8%], p = 0.03), but did not differ between the AFTER (44.5% [35.8%]) and BEFORE groups (p = 0.288).

Conclusions

Intervention counseling attendance did not change substantially due to the COVID-19 pandemic. The MIXED group had lower self-monitoring adherence rates than the BEFORE grouip, which may be due to disruptions in daily life and habits that occurred in the early months of the COVID-19 pandemic. Virtual weight loss counseling methods are a practical way of circumventing program disruptions without compromising protocol adherence.

Funding Sources

This research was supported by the American Heart Association.

A Randomized Clinical Trial to Compare a Precision Nutrition Intervention Targeting a Reduction in Postprandial Glycemic Response to Meals With a Low-Fat Diet for Weight Loss

Objectives

The primary aim is to compare the effects of a low-fat diet vs a personalized diet on % weight loss at 6-months. Secondary outcomes include body composition (fat mass [FM] and fat free mass [FFM]), resting energy expenditure (REE) and adaptive thermogenesis (AT).

Methods

The Personal Diet Study was a 6-month, single-center, randomized clinical trial in adults with pre-diabetes and moderately controlled type 2 diabetes who were overweight or obese. Participants were randomized to follow either a hypocaloric low-fat diet, with < 25% energy intake from total fat (Standardized), or a hypocaloric personalized diet determined by a machine learning algorithm which predicts PPGR to meals (Personalized). Participants in both arms received behavioral counseling and logged dietary intake and physical activity into a smartphone app. Participants in the Personalized arm received real-time feedback as color-coded scores based on pre-consumed meals entered into the smartphone app. T-tests were used to assess group differences.

Results

A total of 200 adults (Standardized: n = 97 vs. Personalized: n = 103) contributed data (mean [SD]: age, 58 [11] years; 67% female; BMI, 34.0 [4.8] kg/m²; HbA1c, 5.8 [0.6]%; Metformin use, 21.0%). There were no significant group differences in mean % weight loss (Standardized: −4.4 [4.8]% vs Personalized: −3.3 [5.4]%; p = 0.19), mean absolute change in FM (Standardized: −2.7 [3.4] kg vs. Personalized: −1.6 [3.5] kg; p = 0.18), and AT between the two arms (Standardized: −54.7 [177] kcal/d vs. Personalized: 26.2 [199] kcal/d; p = 0.078). However, the Standardized arm lost significantly more FFM (−1.4 [1.6] kg vs. −0.45 [2.0] kg; p = 0.03) and had a greater decrease in REE (−111.0 [195.0] kcal/d vs. 1.93 [215.0] kcal/d; p = 0.02) compared to Personalized.

Conclusions

A personalized diet to minimize PPGR had no greater effect on % weight loss compared to a low-fat diet at 6-months. Future precision nutrition trials may require deeper phenotyping of individuals or the development of body weight-specific algorithms.

Funding Sources

Supported by grants from the American Heart Association 17SFRN33590133.

Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation : Washington, DC, USA. 14-15 December 2015

A1 Introduction to the 8^th Annual Conference on the Science of Dissemination and Implementation: Optimizing Personal and Population Health

David Chambers, Lisa Simpson

D1 Discussion forum: Population health D&I research

Felicia Hill-Briggs

D2 Discussion forum: Global health D&I research

Gila Neta, Cynthia Vinson

D3 Discussion forum: Precision medicine and D&I research

David Chambers

S1 Predictors of community therapists’ use of therapy techniques in a large public mental health system

Rinad Beidas, Steven Marcus, Gregory Aarons, Kimberly Hoagwood, Sonja Schoenwald, Arthur Evans, Matthew Hurford, Ronnie Rubin, Trevor Hadley, Frances Barg, Lucia Walsh, Danielle Adams, David Mandell

S2 Implementing brief cognitive behavioral therapy (CBT) in primary care: Clinicians' experiences from the field

Lindsey Martin, Joseph Mignogna, Juliette Mott, Natalie Hundt, Michael Kauth, Mark Kunik, Aanand Naik, Jeffrey Cully

S3 Clinician competence: Natural variation, factors affecting, and effect on patient outcomes

Alan McGuire, Dominique White, Tom Bartholomew, John McGrew, Lauren Luther, Angie Rollins, Michelle Salyers

S4 Exploring the multifaceted nature of sustainability in community-based prevention: A mixed-method approach

Brittany Cooper, Angie Funaiole

S5 Theory informed behavioral health integration in primary care: Mixed methods evaluation of the implementation of routine depression and alcohol screening and assessment

Julie Richards, Amy Lee, Gwen Lapham, Ryan Caldeiro, Paula Lozano, Tory Gildred, Carol Achtmeyer, Evette Ludman, Megan Addis, Larry Marx, Katharine Bradley

S6 Enhancing the evidence for specialty mental health probation through a hybrid efficacy and implementation study

Tonya VanDeinse, Amy Blank Wilson, Burgin Stacey, Byron Powell, Alicia Bunger, Gary Cuddeback

S7 Personalizing evidence-based child mental health care within a fiscally mandated policy reform

Miya Barnett, Nicole Stadnick, Lauren Brookman-Frazee, Anna Lau

S8 Leveraging an existing resource for technical assistance: Community-based supervisors in public mental health

Shannon Dorsey, Michael Pullmann

S9 SBIRT implementation for adolescents in urban federally qualified health centers: Implementation outcomes

Shannon Mitchell, Robert Schwartz, Arethusa Kirk, Kristi Dusek, Marla Oros, Colleen Hosler, Jan Gryczynski, Carolina Barbosa, Laura Dunlap, David Lounsbury, Kevin O'Grady, Barry Brown

S10 PANEL: Tailoring Implementation Strategies to Context - Expert recommendations for tailoring strategies to context

Laura Damschroder, Thomas Waltz, Byron Powell

S11 PANEL: Tailoring Implementation Strategies to Context - Extreme facilitation: Helping challenged healthcare settings implement complex programs

Mona Ritchie

S12 PANEL: Tailoring Implementation Strategies to Context - Using menu-based choice tasks to obtain expert recommendations for implementing three high-priority practices in the VA

Thomas Waltz

S13 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Siri, rate my therapist: Using technology to automate fidelity ratings of motivational interviewing

David Atkins, Zac E. Imel, Bo Xiao, Doğan Can, Panayiotis Georgiou, Shrikanth Narayanan

S14 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Identifying indicators of implementation quality for computer-based ratings

Cady Berkel, Carlos Gallo, Irwin Sandler, C. Hendricks Brown, Sharlene Wolchik, Anne Marie Mauricio

S15 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Improving implementation of behavioral interventions by monitoring emotion in spoken speech

Carlos Gallo, C. Hendricks Brown, Sanjay Mehrotra

S16 Scorecards and dashboards to assure data quality of health management information system (HMIS) using R

Dharmendra Chandurkar, Siddhartha Bora, Arup Das, Anand Tripathi, Niranjan Saggurti, Anita Raj

S17 A big data approach for discovering and implementing patient safety insights

Eric Hughes, Brian Jacobs, Eric Kirkendall

S18 Improving the efficacy of a depression registry for use in a collaborative care model

Danielle Loeb, Katy Trinkley, Michael Yang, Andrew Sprowell, Donald Nease

S19 Measurement feedback systems as a strategy to support implementation of measurement-based care in behavioral health

Aaron Lyon, Cara Lewis, Meredith Boyd, Abigail Melvin, Semret Nicodimos, Freda Liu, Nathanial Jungbluth

S20 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Common loop assay: Methods of supporting learning collaboratives

Allen Flynn

S21 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Innovating audit and feedback using message tailoring models for learning health systems

Zach Landis-Lewis

S22 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Implementation science and learning health systems: Connecting the dots

Anne Sales

S23 Facilitation activities of Critical Access Hospitals during TeamSTEPPS implementation

Jure Baloh, Marcia Ward, Xi Zhu

S24 Organizational and social context of federally qualified health centers and variation in maternal depression outcomes

Ian Bennett, Jurgen Unutzer, Johnny Mao, Enola Proctor, Mindy Vredevoogd, Ya-Fen Chan, Nathaniel Williams, Phillip Green

S25 Decision support to enhance treatment of hospitalized smokers: A randomized trial

Steven Bernstein, June-Marie Rosner, Michelle DeWitt, Jeanette Tetrault, James Dziura, Allen Hsiao, Scott Sussman, Patrick O’Connor, Benjamin Toll

S26 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A patient-centered approach to successful community transition after catastrophic injury

Michael Jones, Julie Gassaway

S27 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - Conducting PCOR to integrate mental health and cancer screening services in primary care

Jonathan Tobin

S28 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A comparative effectiveness trial of optimal patient-centered care for US trauma care systems

Douglas Zatzick

S29 Preferences for in-person communication among patients in a multi-center randomized study of in-person versus telephone communication of genetic test results for cancer susceptibility

Angela R Bradbury, Linda Patrick-Miller, Brian Egleston, Olufunmilayo I Olopade, Michael J Hall, Mary B Daly, Linda Fleisher, Generosa Grana, Pamela Ganschow, Dominique Fetzer, Amanda Brandt, Dana Farengo-Clark, Andrea Forman, Rikki S Gaber, Cassandra Gulden, Janice Horte, Jessica Long, Rachelle Lorenz Chambers, Terra Lucas, Shreshtha Madaan, Kristin Mattie, Danielle McKenna, Susan Montgomery, Sarah Nielsen, Jacquelyn Powers, Kim Rainey, Christina Rybak, Michelle Savage, Christina Seelaus, Jessica Stoll, Jill Stopfer, Shirley Yao and Susan Domchek

S30 Working towards de-implementation: A mixed methods study in breast cancer surveillance care

Erin Hahn, Corrine Munoz-Plaza, Jianjin Wang, Jazmine Garcia Delgadillo, Brian Mittman Michael Gould

S31Integrating evidence-based practices for increasing cancer screenings in safety-net primary care systems: A multiple case study using the consolidated framework for implementation research

Shuting (Lily) Liang, Michelle C. Kegler, Megan Cotter, Emily Phillips, April Hermstad, Rentonia Morton, Derrick Beasley, Jeremy Martinez, Kara Riehman

S32 Observations from implementing an mHealth intervention in an FQHC

David Gustafson, Lisa Marsch, Louise Mares, Andrew Quanbeck, Fiona McTavish, Helene McDowell, Randall Brown, Chantelle Thomas, Joseph Glass, Joseph Isham, Dhavan Shah

S33 A multicomponent intervention to improve primary care provider adherence to chronic opioid therapy guidelines and reduce opioid misuse: A cluster randomized controlled trial protocol

Jane Liebschutz, Karen Lasser

S34 Implementing collaborative care for substance use disorders in primary care: Preliminary findings from the summit study

Katherine Watkins, Allison Ober, Sarah Hunter, Karen Lamp, Brett Ewing

S35 Sustaining a task-shifting strategy for blood pressure control in Ghana: A stakeholder analysis

Juliet Iwelunmor, Joyce Gyamfi, Sarah Blackstone, Nana Kofi Quakyi, Jacob Plange-Rhule, Gbenga Ogedegbe

S36 Contextual adaptation of the consolidated framework for implementation research (CFIR) in a tobacco cessation study in Vietnam

Pritika Kumar, Nancy Van Devanter, Nam Nguyen, Linh Nguyen, Trang Nguyen, Nguyet Phuong, Donna Shelley

S37 Evidence check: A knowledge brokering approach to systematic reviews for policy

Sian Rudge

S38 Using Evidence Synthesis to Strengthen Complex Health Systems in Low- and Middle-Income Countries

Etienne Langlois

S39 Does it matter: timeliness or accuracy of results? The choice of rapid reviews or systematic reviews to inform decision-making

Andrea Tricco

S40 Evaluation of the veterans choice program using lean six sigma at a VA medical center to identify benefits and overcome obstacles

Sherry Ball, Anne Lambert-Kerzner, Christine Sulc, Carol Simmons, Jeneen Shell-Boyd, Taryn Oestreich, Ashley O'Connor, Emily Neely, Marina McCreight, Amy Labebue, Doreen DiFiore, Diana Brostow, P. Michael Ho, David Aron

S41 The influence of local context on multi-stakeholder alliance quality improvement activities: A multiple case study

Jillian Harvey, Megan McHugh, Dennis Scanlon

S42 Increasing physical activity in early care and education: Sustainability via active garden education (SAGE)

Rebecca Lee, Erica Soltero, Nathan Parker, Lorna McNeill, Tracey Ledoux

S43 Marking a decade of policy implementation: The successes and continuing challenges of a provincial school food and nutrition policy in Canada

Jessie-Lee McIsaac, Kate MacLeod, Nicole Ata, Sherry Jarvis, Sara Kirk

S44 Use of research evidence among state legislators who prioritize mental health and substance abuse issues

Jonathan Purtle, Elizabeth Dodson, Ross Brownson

S45 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 1 designs

Brian Mittman, Geoffrey Curran

S46 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 2 designs

Geoffrey Curran

S47 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 3 designs

Jeffrey Pyne

S48 Linking team level implementation leadership and implementation climate to individual level attitudes, behaviors, and implementation outcomes

Gregory Aarons, Mark Ehrhart, Elisa Torres

S49 Pinpointing the specific elements of local context that matter most to implementation outcomes: Findings from qualitative comparative analysis in the RE-inspire study of VA acute stroke care

Edward Miech

S50 The GO score: A new context-sensitive instrument to measure group organization level for providing and improving care

Edward Miech

S51 A research network approach for boosting implementation and improvement

Kathleen Stevens, I.S.R.N. Steering Council

S52 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - The value of qualitative methods in implementation research

Alison Hamilton

S53 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Learning evaluation: The role of qualitative methods in dissemination and implementation research

Deborah Cohen

S54 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Qualitative methods in D&I research

Deborah Padgett

S55 PANEL: Maps & models: The promise of network science for clinical D&I - Hospital network of sharing patients with acute and chronic diseases in California

Alexandra Morshed

S56 PANEL: Maps & models: The promise of network science for clinical D&I - The use of social network analysis to identify dissemination targets and enhance D&I research study recruitment for pre-exposure prophylaxis for HIV (PrEP) among men who have sex with men

Rupa Patel

S57 PANEL: Maps & models: The promise of network science for clinical D&I - Network and organizational factors related to the adoption of patient navigation services among rural breast cancer care providers

Beth Prusaczyk

S58 A theory of de-implementation based on the theory of healthcare professionals’ behavior and intention (THPBI) and the becker model of unlearning

David C. Aron, Divya Gupta, Sherry Ball

S59 Observation of registered dietitian nutritionist-patient encounters by dietetic interns highlights low awareness and implementation of evidence-based nutrition practice guidelines

Rosa Hand, Jenica Abram, Taylor Wolfram

S60 Program sustainability action planning: Building capacity for program sustainability using the program sustainability assessment tool

Molly Hastings, Sarah Moreland-Russell

S61 A review of D&I study designs in published study protocols

Rachel Tabak, Alex Ramsey, Ana Baumann, Emily Kryzer, Katherine Montgomery, Ericka Lewis, Margaret Padek, Byron Powell, Ross Brownson

S62 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Model simulation techniques to estimate the cost of implementing foundational public health services

Cezar Brian Mamaril, Glen Mays, Keith Branham, Lava Timsina

S63 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Inter-organizational network effects on the implementation of public health services

Glen Mays, Rachel Hogg

S64 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Implementation fidelity, coalition functioning, and community prevention system transformation using communities that care

Abigail Fagan, Valerie Shapiro, Eric Brown

S65 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Expanding capacity for implementation of communities that care at scale using a web-based, video-assisted training system

Kevin Haggerty, David Hawkins

S66 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Effects of communities that care on reducing youth behavioral health problems

Sabrina Oesterle, David Hawkins, Richard Catalano

S68 When interventions end: the dynamics of intervention de-adoption and replacement

Virginia McKay, M. Margaret Dolcini, Lee Hoffer

S69 Results from next-d: can a disease specific health plan reduce incident diabetes development among a national sample of working-age adults with pre-diabetes?

Tannaz Moin, Jinnan Li, O. Kenrik Duru, Susan Ettner, Norman Turk, Charles Chan, Abigail Keckhafer, Robert Luchs, Sam Ho, Carol Mangione

S70 Implementing smoking cessation interventions in primary care settings (STOP): using the interactive systems framework

Peter Selby, Laurie Zawertailo, Nadia Minian, Dolly Balliunas, Rosa Dragonetti, Sarwar Hussain, Julia Lecce

S71 Testing the Getting To Outcomes implementation support intervention in prevention-oriented, community-based settings

Matthew Chinman, Joie Acosta, Patricia Ebener, Patrick S Malone, Mary Slaughter

S72 Examining the reach of a multi-component farmers’ market implementation approach among low-income consumers in an urban context

Darcy Freedman, Susan Flocke, Eunlye Lee, Kristen Matlack, Erika Trapl, Punam Ohri-Vachaspati, Morgan Taggart, Elaine Borawski

S73 Increasing implementation of evidence-based health promotion practices at large workplaces: The CEOs Challenge

Amanda Parrish, Jeffrey Harris, Marlana Kohn, Kristen Hammerback, Becca McMillan, Peggy Hannon

S74 A qualitative assessment of barriers to nutrition promotion and obesity prevention in childcare

Taren Swindle, Geoffrey Curran, Leanne Whiteside-Mansell, Wendy Ward

S75 Documenting institutionalization of a health communication intervention in African American churches

Cheryl Holt, Sheri Lou Santos, Erin Tagai, Mary Ann Scheirer, Roxanne Carter, Janice Bowie, Muhiuddin Haider, Jimmie Slade, Min Qi Wang

S76 Reduction in hospital utilization by underserved patients through use of a community-medical home

Andrew Masica, Gerald Ogola, Candice Berryman, Kathleen Richter

S77 Sustainability of evidence-based lay health advisor programs in African American communities: A mixed methods investigation of the National Witness Project

Rachel Shelton, Lina Jandorf, Deborah Erwin

S78 Predicting the long-term uninsured population and analyzing their gaps in physical access to healthcare in South Carolina

Khoa Truong

S79 Using an evidence-based parenting intervention in churches to prevent behavioral problems among Filipino youth: A randomized pilot study

Joyce R. Javier, Dean Coffey, Sheree M. Schrager, Lawrence Palinkas, Jeanne Miranda

S80 Sustainability of elementary school-based health centers in three health-disparate southern communities

Veda Johnson, Valerie Hutcherson, Ruth Ellis

S81 Childhood obesity prevention partnership in Louisville: creative opportunities to engage families in a multifaceted approach to obesity prevention

Anna Kharmats, Sandra Marshall-King, Monica LaPradd, Fannie Fonseca-Becker

S82 Improvements in cervical cancer prevention found after implementation of evidence-based Latina prevention care management program

Deanna Kepka, Julia Bodson, Echo Warner, Brynn Fowler

S83 The OneFlorida data trust: Achieving health equity through research & training capacity building

Elizabeth Shenkman, William Hogan, Folakami Odedina, Jessica De Leon, Monica Hooper, Olveen Carrasquillo, Renee Reams, Myra Hurt, Steven Smith, Jose Szapocznik, David Nelson, Prabir Mandal

S84 Disseminating and sustaining medical-legal partnerships: Shared value and social return on investment

James Teufel

Incorporating Systems Science Principles into the Development of Obesity Prevention Interventions: Principles, Benefits, and Challenges

Systems modeling represents an innovative approach for addressing the obesity epidemic at the community level. We developed an agent-based model of the Baltimore City food environment that permits us to assess the relative impact of different programs and policies, alone and in combination, and potential unexpected consequences. Based on this experience, and a review of literature, we have identified a set of principles, potential benefits, and challenges. Some of the key principles include the importance of early and multilevel engagement with the community prior to initiating model development and continued engagement and testing with community stakeholders. Important benefits include improving community stakeholder understanding of the system, testing of interventions before implementation, and identification of unexpected consequences. Challenges in these models include deciding on the most important, yet parsimonious factors to consider, how to model food source and food selection behavior in a realistic yet transferable manner, and identifying the appropriate outcomes and limitations of the model.

Patterns of Food Consumption are Associated with Obesity, Self-Reported Diabetes and Cardiovascular Disease in Five American Indian Communities

The relationship between dietary patterns and chronic disease is underexplored in indigenous populations. We assessed diets of 424 American Indian (AI) adults living in 5 rural AI communities. We identified four food patterns. Increased prevalence for cardiovascular disease was highly associated with the consumption of unhealthy snacks and high fat-food patterns (OR 3.6, CI=1.06, 12.3; and OR 6.0, CI=1.63, 22.1), respectively. Moreover, the food-consumption pattern appeared to be different by community setting (p<.05). We recommend culturally appropriate community-intervention programs to promote healthy behavior and to prevent diet-related chronic diseases in this high-risk population.