Telehealth Delivery in Part C Early Intervention: Provider and Caregiver Perspectives

Telehealth is a promising modality for Part C early intervention (EI), services typically implemented face-to-face in home and community settings. Barriers to telehealth in EI reported prior to COVID-19 included lack of training and access to reliable internet. The abrupt telehealth shift at the onset of the pandemic did not permit a phased adoption approach. This mixed-methods study aimed to characterize perspectives of service changes resulting from the telehealth transition. Providers (n = 39) and caregivers (n = 11) completed surveys about perceptions towards the telehealth switch. All providers indicated at least one aspect of services had changed. Approximately half of caregivers reported satisfaction with services decreased and half that satisfaction remained the same. Implications for telehealth in EI beyond the pandemic are discussed.

Brief Report: Perceptions of Family-Centered Care Across Service Delivery Systems and Types of Caregiver Concerns About Their Toddlers' Development

Family-centered care represents a collaborative partnership between caregivers and service providers, and is associated with positive caregiver and child outcomes. This approach may be especially important for caregivers with early concerns about autism, as service providers are often the gateway to appropriately-specialized intervention. Perceptions of family-centered care received from primary care providers (PCPs) and Part C Early Intervention (EI) providers were rated by two groups of caregivers: those concerned about autism (n = 37) and those concerned about another developmental problem (n = 22), using the Measure of Processes of Care (MPOC-20). Ratings did not differ across caregiver groups, but both groups rated EI providers significantly higher than PCPs, which may reflect systems-level differences between primary care and EI.

The implementation of reciprocal imitation training in a Part C early intervention setting: A stepped-wedge pragmatic trial

Despite the development of several evidence-based Naturalistic Developmental Behavioral Interventions (NDBIs), very few have been adapted for use in community-based settings. This study examines the implementation of Reciprocal Imitation Training (RIT)-an NDBI-by community Early Intervention (EI; IDEA Part C) providers serving toddlers from birth to 3 years. Of the 87 EI providers enrolled from 9 agencies in 4 counties across Washington State, 66 were included in the current sample. A stepped-wedge design was used to randomly assign counties to the timing of RIT training workshops. Self-report measures of practice and self-efficacy regarding ASD care were collected at baseline (T1, T2) and 6-months and 12-months post-training (T3, T4). At T3 and T4, providers reported on RIT adoption and rated items about RIT feasibility and perceived RIT effectiveness; at T4, they also reported on child characteristics that led to RIT use and modifications. From pre-training to post-training, there were significant increases in providers' self-efficacy in providing services to children with ASD or suspected ASD. At T3 and T4, provider ratings indicated high levels of RIT adoption, feasibility, and perceived RIT effectiveness. At T4, providers indicated that they most commonly: (a) initiated RIT when there were social-communication or motor imitation delays, or an ASD diagnosis; and (b) made modifications to RIT by repeating elements, blending it with other therapies, and loosening its structure. While additional research is needed, RIT may help families get an early start on accessing specialized treatment within an established infrastructure available across the United States. LAY SUMMARY: Reciprocal imitation training (RIT) is an evidence-based treatment for ASD that might be a good fit for use by intervention providers in widely accessible community-based settings. After attending an educational workshop on RIT, providers reported feeling more comfortable providing services to families with ASD concerns, used RIT with over 400 families, and believed that RIT improved important social communication behaviors.

Parenting stress in caregivers of young children with ASD concerns prior to a formal diagnosis

Robust findings demonstrate that parents of children with autism spectrum disorder (ASD) experience high levels of parenting stress that are associated with negative outcomes for families. Although the majority of research on parenting stress has focused on parents of children with an existing diagnosis, parents of young children with concerns about ASD-related behaviors also face many unique challenges before the time of diagnosis. However, no study to date has examined patterns of parenting stress among parents of children with ASD concerns prior to a formal ASD diagnosis. Therefore, the current study investigated longitudinal trajectories of parenting stress among parents of young children with ASD concerns compared to parents of children with non-ASD developmental concerns (e.g., language delay), and parents of children with no developmental concerns. Known predictors of parenting stress were also examined. Results from multilevel model analyses revealed that parents of children with ASD concerns experienced consistently higher levels of parenting stress across early child development compared to parents of children with non-ASD developmental concerns and those with no concerns. Additionally, parenting efficacy, psychological functioning, social satisfaction, and child social communication behaviors predicted levels of parenting stress for all parents. Autism Res 2020, 13: 82-92. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This study examined parenting stress across time among parents of young children with ASD concerns before receiving a diagnosis. Parents of children with ASD concerns reported consistently higher levels of parenting stress compared to parents of children with other developmental concerns and parents of children with no concerns. Also, ASD concerns predicted parenting stress in addition to other parent and child predictors of parenting stress. These findings highlight the need to better support families before an ASD diagnosis.

Promoting early autism detection and intervention in underserved communities: study protocol for a pragmatic trial using a stepped-wedge design

BACKGROUND

Despite the known benefits of early, specialized intervention for toddlers with Autism Spectrum Disorder (ASD), access to such intervention remains limited. This pragmatic trial examines a novel healthcare delivery model (Screen-Refer-Treat [SRT]), which capitalizes upon existing health care and early intervention (EI) infrastructure to increase community capacity for ASD detection and treatment before age 3, when it is likely to have the greatest impact. This model comprises three components: (1) universal use of Stage 1 ASD screening by primary care providers (PCPs) at 18-month well-child visits (i.e., Screen); (2) immediate referral of positive screens to a community-based EI program (i.e., Refer); and (3) provision of an inexpensive, evidence-based ASD-specialized treatment by EI providers, after verifying ASD risk with a Stage 2 screen (i.e., Treat). This paper describes our research design and the initial successes, challenges, and adaptations made during the early implementation phase.

METHOD/DESIGN

A stepped-wedge cluster RCT was used to implement the SRT model sequentially in four diverse Washington State counties ("clusters"). Counties are randomly assigned to the time of receipt of the SRT intervention, which comprises training workshops and technical assistance focused on the use of evidence-based ASD screening and intervention tools. Separate cohorts of families with toddlers (16-35 months old) with and without ASD concerns are recruited before and after the SRT intervention from participating PCP practices and EI programs. PCPs and EI providers complete measures on their screening, referral, and intervention practices before and after the SRT intervention. Each family cohort completes surveys about their well-being, parenting efficacy, health care satisfaction, and toddler's social-communicative behaviors.

CONCLUSION

This trial is the first of its kind to work simultaneously with two service delivery systems with the goal of improving early detection and treatment for ASD. Our approach was successful in attaining buy-in from PCPs and EI providers, building and maintaining partnerships with providers, and achieving high levels of retention and survey completion. Fostering provider engagement and problem-solving issues together as partners were integral to overcoming the main challenges. Numerous lessons have been learned thus far, which have applicability for implementation researchers in ASD and those in other fields.

TRIAL REGISTRATION

The registration number for this trial is NCT02409303 and it was posted on ClinicalTrials.gov on April 6, 2015.

Enhancing interactions during daily routines: A randomized controlled trial of a web-based tutorial for parents of young children with ASD

Children with Autism Spectrum Disorder (ASD) often experience difficulty participating in everyday home routines, such as bed time or bath time. This randomized controlled trial examined the efficacy of an interactive, web-based parenting tutorial for improving children's engagement in daily routines (i.e., proximal outcomes) as well improving children's social communication and parenting efficacy and stress (i.e., broad outcomes). Parents of children with ASD between 18 and 60 months were randomly assigned to the Tutorial group (n = 52) or the Control group (n = 52). All parents completed questionnaires at baseline (T1), 1 month after T1 (T2; post-tutorial completion), and 2 months after T1 (T3). Relative to the Control group, parents in the Tutorial group reported significantly higher use of evidence-based instructional strategies and higher levels of child engagement during routines at T2 and T3. In addition, parents in the Tutorial group reported significantly lower parenting stress and higher parenting efficacy at T3, as well as higher ratings of child social communication at T2 and T3, compared to the Control group. Parents reported being highly satisfied with both the clinical content and technical aspects of the tutorial. These improvements in both proximal and broad parent-child outcomes suggest that this tutorial may be a promising and accessible way for empowering some parents and improving parent-child interactions. Autism Res 2018, 11: 667-678. © 2018 International Society for Autism Research, Wiley Periodicals, Inc.

LAY SUMMARY

This web-based tutorial helped parents of children with ASD use proven strategies to improve their child's participation in daily routines at home. Parents who used the tutorial reported less parenting stress, felt better about their parenting skills, and reported better child social interactions compared to parents who did not use the tutorial. This tutorial may be especially helpful for families who have limited access to services, as it can be completed at home.

The Effect of Parenting Style on Social Smiling in Infants at High and Low Risk for ASD

This study examined how parenting style at 9 months predicts growth in infant social engagement (i.e., social smiling) between 9 and 18 months during a free-play interaction in infants at high (HR-infants) and low (LR-infants) familial risk for autism spectrum disorder (ASD). Results indicated that across all infants, higher levels of maternal responsiveness were concurrently associated with higher levels of social smiling, while higher levels of maternal directiveness predicted slower growth in social smiling. When accounting for maternal directiveness, which was higher in mothers of HR-infants, HR-infants exhibited greater growth in social smiling than LR-infants. Overall, each parenting style appears to make a unique contribution to the development of social engagement in infants at high- and low-risk for ASD.

Neural Correlates of Sensory Hyporesponsiveness in Toddlers at High Risk for Autism Spectrum Disorder

Altered patterns of sensory responsiveness are a frequently reported feature of Autism Spectrum Disorder (ASD). Younger siblings of individuals with ASD are at a greatly elevated risk of a future diagnosis of ASD, but little is known about the neural basis of sensory responsiveness patterns in this population. Younger siblings (n = 20) of children diagnosed with ASD participated in resting electroencephalography (EEG) at an age of 18 months. Data on toddlers' sensory responsiveness were obtained using the Sensory Experiences Questionnaire. Correlations were present between hyporesponsiveness and patterns of oscillatory power, functional connectivity, and signal complexity. Our findings suggest that neural signal features hold promise for facilitating early identification and targeted remediation in young children at risk for ASD.

Proceedings of the 3rd Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2015: advancing efficient methodologies through community partnerships and team science : Seattle, WA, USA. 24-26 September 2015

Introduction to the 3rd Biennial Conference of the Society for Implementation Research Collaboration: advancing efficient methodologies through team science and community partnerships

Cara Lewis, Doyanne Darnell, Suzanne Kerns, Maria Monroe-DeVita, Sara J. Landes, Aaron R. Lyon, Cameo Stanick, Shannon Dorsey, Jill Locke, Brigid Marriott, Ajeng Puspitasari, Caitlin Dorsey, Karin Hendricks, Andria Pierson, Phil Fizur, Katherine A. Comtois

A1: A behavioral economic perspective on adoption, implementation, and sustainment of evidence-based interventions

Lawrence A. Palinkas

A2: Towards making scale up of evidence-based practices in child welfare systems more efficient and affordable

Patricia Chamberlain

A3: Mixed method examination of strategic leadership for evidence-based practice implementation

Gregory A. Aarons, Amy E. Green, Mark. G. Ehrhart, Elise M. Trott, Cathleen E. Willging

A4: Implementing practice change in Federally Qualified Health Centers: Learning from leaders’ experiences

Maria E. Fernandez, Nicholas H. Woolf, Shuting (Lily) Liang, Natalia I. Heredia, Michelle Kegler, Betsy Risendal, Andrea Dwyer, Vicki Young, Dayna Campbell, Michelle Carvalho, Yvonne Kellar-Guenther

A3: Mixed method examination of strategic leadership for evidence-based practice implementation

Gregory A. Aarons, Amy E. Green, Mark. G. Ehrhart, Elise M. Trott, Cathleen E. Willging

A4: Implementing practice change in Federally Qualified Health Centers: Learning from leaders’ experiences

Maria E. Fernandez, Nicholas H. Woolf, Shuting (Lily) Liang, Natalia I. Heredia, Michelle Kegler, Betsy Risendal, Andrea Dwyer, Vicki Young, Dayna Campbell, Michelle Carvalho, Yvonne Kellar-Guenther

A5: Efficient synthesis: Using qualitative comparative analysis and the Consolidated Framework for Implementation Research across diverse studies

Laura J. Damschroder, Julie C. Lowery

A6: Establishing a veterans engagement group to empower patients and inform Veterans Affairs (VA) health services research

Sarah S. Ono, Kathleen F. Carlson, Erika K. Cottrell, Maya E. O’Neil, Travis L. Lovejoy

A7: Building patient-practitioner partnerships in community oncology settings to implement behavioral interventions for anxious and depressed cancer survivors

Joanna J. Arch, Jill L. Mitchell

A8: Tailoring a Cognitive Behavioral Therapy implementation protocol using mixed methods, conjoint analysis, and implementation teams

Cara C. Lewis, Brigid R. Marriott, Kelli Scott

A9: Wraparound Structured Assessment and Review (WrapSTAR): An efficient, yet comprehensive approach to Wraparound implementation evaluation

Jennifer Schurer Coldiron, Eric J. Bruns, Alyssa N. Hook

A10: Improving the efficiency of standardized patient assessment of clinician fidelity: A comparison of automated actor-based and manual clinician-based ratings

Benjamin C. Graham, Katelin Jordan

A11: Measuring fidelity on the cheap

Rochelle F. Hanson, Angela Moreland, Benjamin E. Saunders, Heidi S. Resnick

A12: Leveraging routine clinical materials to assess fidelity to an evidence-based psychotherapy

Shannon Wiltsey Stirman, Cassidy A. Gutner, Jennifer Gamarra, Dawne Vogt, Michael Suvak, Jennifer Schuster Wachen, Katherine Dondanville, Jeffrey S. Yarvis, Jim Mintz, Alan L. Peterson, Elisa V. Borah, Brett T. Litz, Alma Molino, Stacey Young McCaughanPatricia A. Resick

A13: The video vignette survey: An efficient process for gathering diverse community opinions to inform an intervention

Nancy Pandhi, Nora Jacobson, Neftali Serrano, Armando Hernandez, Elizabeth Zeidler- Schreiter, Natalie Wietfeldt, Zaher Karp

A14: Using integrated administrative data to evaluate implementation of a behavioral health and trauma screening for children and youth in foster care

Michael D. Pullmann, Barbara Lucenko, Bridget Pavelle, Jacqueline A. Uomoto, Andrea Negrete, Molly Cevasco, Suzanne E. U. Kerns

A15: Intermediary organizations as a vehicle to promote efficiency and speed of implementation

Robert P. Franks, Christopher Bory

A16: Applying the Consolidated Framework for Implementation Research constructs directly to qualitative data: The power of implementation science in action

Edward J. Miech, Teresa M. Damush

A17: Efficient and effective scaling-up, screening, brief interventions, and referrals to treatment (SBIRT) training: a snowball implementation model

Jason Satterfield, Derek Satre, Maria Wamsley, Patrick Yuan, Patricia O’Sullivan

A18: Matching models of implementation to system needs and capacities: addressing the human factor

Helen Best, Susan Velasquez

A19: Agency characteristics that facilitate efficient and successful implementation efforts

Miya Barnett, Lauren Brookman-Frazee, Jennifer Regan, Nicole Stadnick, Alison Hamilton, Anna Lau

A20: Rapid assessment process: Application to the Prevention and Early Intervention transformation in Los Angeles County

Jennifer Regan, Alison Hamilton, Nicole Stadnick, Miya Barnett, Anna Lau, Lauren Brookman-Frazee

A21: The development of the Evidence-Based Practice-Concordant Care Assessment: An assessment tool to examine treatment strategies across practices

Nicole Stadnick, Anna Lau, Miya Barnett, Jennifer Regan, Scott Roesch, Lauren Brookman-Frazee

A22: Refining a compilation of discrete implementation strategies and determining their importance and feasibility

Byron J. Powell, Thomas J. Waltz, Matthew J. Chinman, Laura Damschroder, Jeffrey L. Smith, Monica M. Matthieu, Enola K. Proctor, JoAnn E. Kirchner

A23: Structuring complex recommendations: Methods and general findings

Thomas J. Waltz, Byron J. Powell, Matthew J. Chinman, Laura J. Damschroder, Jeffrey L. Smith, Monica J. Matthieu, Enola K. Proctor, JoAnn E. Kirchner

A24: Implementing prolonged exposure for post-traumatic stress disorder in the Department of Veterans Affairs: Expert recommendations from the Expert Recommendations for Implementing Change (ERIC) project

Monica M. Matthieu, Craig S. Rosen, Thomas J. Waltz, Byron J. Powell, Matthew J. Chinman, Laura J. Damschroder, Jeffrey L. Smith, Enola K. Proctor, JoAnn E. Kirchner

A25: When readiness is a luxury: Co-designing a risk assessment and quality assurance process with violence prevention frontline workers in Seattle, WA

Sarah C. Walker, Asia S. Bishop, Mariko Lockhart

A26: Implementation potential of structured recidivism risk assessments with justice- involved veterans: Qualitative perspectives from providers

Allison L. Rodriguez, Luisa Manfredi, Andrea Nevedal, Joel Rosenthal, Daniel M. Blonigen

A27: Developing empirically informed readiness measures for providers and agencies for the Family Check-Up using a mixed methods approach

Anne M. Mauricio, Thomas D. Dishion, Jenna Rudo-Stern, Justin D. Smith

A28: Pebbles, rocks, and boulders: The implementation of a school-based social engagement intervention for children with autism

Jill Locke, Courtney Benjamin Wolk, Colleen Harker, Anne Olsen, Travis Shingledecker, Frances Barg, David Mandell, Rinad S. Beidas

A29: Problem Solving Teletherapy (PST.Net): A stakeholder analysis examining the feasibility and acceptability of teletherapy in community based aging services

Marissa C. Hansen, Maria P. Aranda, Isabel Torres-Vigil

A30: A case of collaborative intervention design eventuating in behavior therapy sustainment and diffusion

Bryan Hartzler

A31: Implementation of suicide risk prevention in an integrated delivery system: Mental health specialty services

Bradley Steinfeld, Tory Gildred, Zandrea Harlin, Fredric Shephard

A32: Implementation team, checklist, evaluation, and feedback (ICED): A step-by-step approach to Dialectical Behavior Therapy program implementation

Matthew S. Ditty, Andrea Doyle, John A. Bickel III, Katharine Cristaudo

A33: The challenges in implementing muliple evidence-based practices in a community mental health setting

Dan Fox, Sonia Combs

A34: Using electronic health record technology to promote and support evidence-based practice assessment and treatment intervention

David H. Lischner

A35: Are existing frameworks adequate for measuring implementation outcomes? Results from a new simulation methodology

Richard A. Van Dorn, Stephen J. Tueller, Jesse M. Hinde, Georgia T. Karuntzos

A36: Taking global local: Evaluating training of Washington State clinicians in a modularized cogntive behavioral therapy approach designed for low-resource settings

Maria Monroe-DeVita, Roselyn Peterson, Doyanne Darnell, Lucy Berliner, Shannon Dorsey, Laura K. Murray

A37: Attitudes toward evidence-based practices across therapeutic orientations

Yevgeny Botanov, Beverly Kikuta, Tianying Chen, Marivi Navarro-Haro, Anthony DuBose, Kathryn E. Korslund, Marsha M. Linehan

A38: Predicting the use of an evidence-based intervention for autism in birth-to-three programs

Colleen M. Harker, Elizabeth A. Karp, Sarah R. Edmunds, Lisa V. Ibañez, Wendy L. Stone

A39: Supervision practices and improved fidelity across evidence-based practices: A literature review

Mimi Choy-Brown

A40: Beyond symptom tracking: clinician perceptions of a hybrid measurement feedback system for monitoring treatment fidelity and client progress

Jack H. Andrews, Benjamin D. Johnides, Estee M. Hausman, Kristin M. Hawley

A41: A guideline decision support tool: From creation to implementation

Beth Prusaczyk, Alex Ramsey, Ana Baumann, Graham Colditz, Enola K. Proctor

A42: Dabblers, bedazzlers, or total makeovers: Clinician modification of a common elements cognitive behavioral therapy approach

Rosemary D. Meza, Shannon Dorsey, Shannon Wiltsey-Stirman, Georganna Sedlar, Leah Lucid

A43: Characterization of context and its role in implementation: The impact of structure, infrastructure, and metastructure

Caitlin Dorsey, Brigid Marriott, Nelson Zounlome, Cara Lewis

A44: Effects of consultation method on implementation of cognitive processing therapy for post-traumatic stress disorder

Cassidy A. Gutner, Candice M. Monson, Norman Shields, Marta Mastlej, Meredith SH Landy, Jeanine Lane, Shannon Wiltsey Stirman

A45: Cross-validation of the Implementation Leadership Scale factor structure in child welfare service organizations

Natalie K. Finn, Elisa M. Torres, Mark. G. Ehrhart, Gregory A. Aarons

A46: Sustainability of integrated smoking cessation care in Veterans Affairs posttraumatic stress disorder clinics: A qualitative analysis of focus group data from learning collaborative participants

Carol A. Malte, Aline Lott, Andrew J. Saxon

A47: Key characteristics of effective mental health trainers: The creation of the Measure of Effective Attributes of Trainers (MEAT)

Meredith Boyd, Kelli Scott, Cara C. Lewis

A48: Coaching to improve teacher implementation of evidence-based practices (EBPs)

Jennifer D. Pierce

A49: Factors influencing the implementation of peer-led health promotion programs targeting seniors: A literature review

Agathe Lorthios-Guilledroit, Lucie Richard, Johanne Filiatrault

A50: Developing treatment fidelity rating systems for psychotherapy research: Recommendations and lessons learned

Kevin Hallgren, Shirley Crotwell, Rosa Muñoz, Becky Gius, Benjamin Ladd, Barbara McCrady, Elizabeth Epstein

A51: Rapid translation of alcohol prevention science

John D. Clapp, Danielle E. Ruderman

A52: Factors implicated in successful implementation: evidence to inform improved implementation from high and low-income countries

Melanie Barwick, Raluca Barac, Stanley Zlotkin, Laila Salim, Marnie

Davidson

A53: Tracking implementation strategies prospectively: A practical approach

Alicia C. Bunger, Byron J. Powell, Hillary A. Robertson

A54: Trained but not implementing: the need for effective implementation planning tools

Christopher Botsko

A55: Evidence, context, and facilitation variables related to implementation of Dialectical Behavior Therapy: Qualitative results from a mixed methods inquiry in the Department of Veterans Affairs

Sara J. Landes, Brandy N. Smith, Allison L. Rodriguez, Lindsay R. Trent, Monica M. Matthieu

A56: Learning from implementation as usual in children’s mental health

Byron J. Powell, Enola K. Proctor

A57: Rates and predictors of implementation after Dialectical Behavior Therapy Intensive Training

Melanie S. Harned, Marivi Navarro-Haro, Kathryn E. Korslund, Tianying Chen, Anthony DuBose, André Ivanoff, Marsha M. Linehan

A58: Socio-contextual determinants of research evidence use in public-youth systems of care

Antonio R. Garcia, Minseop Kim, Lawrence A. Palinkas, Lonnie Snowden, John Landsverk

A59: Community resource mapping to integrate evidence-based depression treatment in primary care in Brazil: A pilot project

Annika C. Sweetland, Maria Jose Fernandes, Edilson Santos, Cristiane Duarte, Afrânio Kritski, Noa Krawczyk, Caitlin Nelligan, Milton L. Wainberg

A60: The use of concept mapping to efficiently identify determinants of implementation in the National Institute of Health--President’s Emergent Plan for AIDS Relief Prevention of Mother to Child HIV Transmission Implementation Science Alliance

Gregory A. Aarons, David H. Sommerfeld, Benjamin Chi, Echezona Ezeanolue, Rachel Sturke, Lydia Kline, Laura Guay, George Siberry

A61: Longitudinal remote consultation for implementing collaborative care for depression

Ian M. Bennett, Rinad Beidas, Rachel Gold, Johnny Mao, Diane Powers, Mindy Vredevoogd, Jurgen Unutzer

A62: Integrating a peer coach model to support program implementation and ensure long- term sustainability of the Incredible Years in community-based settings

Jennifer Schroeder, Lane Volpe, Julie Steffen

A63: Efficient sustainability: Existing community based supervisors as evidence-based treatment supports

Shannon Dorsey, Michael D Pullmann, Suzanne E. U. Kerns, Nathaniel Jungbluth, Lucy Berliner, Kelly Thompson, Eliza Segell

A64: Establishment of a national practice-based implementation network to accelerate adoption of evidence-based and best practices

Pearl McGee-Vincent, Nancy Liu, Robyn Walser, Jennifer Runnals, R. Keith Shaw, Sara J. Landes, Craig Rosen, Janet Schmidt, Patrick Calhoun

A65: Facilitation as a mechanism of implementation in a practice-based implementation network: Improving care in a Department of Veterans Affairs post-traumatic stress disorder outpatient clinic

Ruth L. Varkovitzky, Sara J. Landes

A66: The ACT SMART Toolkit: An implementation strategy for community-based organizations providing services to children with autism spectrum disorder

Amy Drahota, Jonathan I. Martinez, Brigitte Brikho, Rosemary Meza, Aubyn C. Stahmer, Gregory A. Aarons

A67: Supporting Policy In Health with Research: An intervention trial (SPIRIT) - protocol and early findings

Anna Williamson

A68: From evidence based practice initiatives to infrastructure: Lessons learned from a public behavioral health system’s efforts to promote evidence based practices

Ronnie M. Rubin, Byron J. Powell, Matthew O. Hurford, Shawna L. Weaver, Rinad S. Beidas, David S. Mandell, Arthur C. Evans

A69: Applying the policy ecology model to Philadelphia’s behavioral health transformation efforts

Byron J. Powell, Rinad S. Beidas, Ronnie M. Rubin, Rebecca E. Stewart, Courtney Benjamin Wolk, Samantha L. Matlin, Shawna Weaver, Matthew O. Hurford, Arthur C. Evans, Trevor R. Hadley, David S. Mandell

A70: A model for providing methodological expertise to advance dissemination and implementation of health discoveries in Clinical and Translational Science Award institutions

Donald R. Gerke, Beth Prusaczyk, Ana Baumann, Ericka M. Lewis, Enola K. Proctor

A71: Establishing a research agenda for the Triple P Implementation Framework

Jenna McWilliam, Jacquie Brown, Michelle Tucker

A72: Cheap and fast, but what is “best?”: Examining implementation outcomes across sites in a state-wide scaled-up evidence-based walking program, Walk With Ease

Kathleen P Conte

A73: Measurement feedback systems in mental health: Initial review of capabilities and characteristics

Aaron R. Lyon, Meredith Boyd, Abigail Melvin, Cara C. Lewis, Freda Liu, Nathaniel Jungbluth

A74: A qualitative investigation of case managers’ attitudes toward implementation of a measurement feedback system in a public mental health system for youth

Amelia Kotte, Kaitlin A. Hill, Albert C. Mah, Priya A. Korathu-Larson, Janelle R. Au, Sonia Izmirian, Scott Keir, Brad J. Nakamura, Charmaine K. Higa-McMillan

A75: Multiple pathways to sustainability: Using Qualitative Comparative Analysis to uncover the necessary and sufficient conditions for successful community-based implementation

Brittany Rhoades Cooper, Angie Funaiole, Eleanor Dizon

A76: Prescribers’ perspectives on opioids and benzodiazepines and medication alerts to reduce co-prescribing of these medications

Eric J. Hawkins, Carol A. Malte, Hildi J. Hagedorn, Douglas Berger, Anissa Frank, Aline Lott, Carol E. Achtmeyer, Anthony J. Mariano, Andrew J. Saxon

A77: Adaptation of Coordinated Anxiety Learning and Management for comorbid anxiety and substance use disorders: Delivery of evidence-based treatment for anxiety in addictions treatment centers

Kate Wolitzky-Taylor, Richard Rawson, Richard Ries, Peter Roy-Byrne, Michelle Craske

A78: Opportunities and challenges of measuring program implementation with online surveys

Dena Simmons, Catalina Torrente, Lori Nathanson, Grace Carroll

A79: Observational assessment of fidelity to a family-centered prevention program: Effectiveness and efficiency

Justin D. Smith, Kimbree Brown, Karina Ramos, Nicole Thornton, Thomas J. Dishion, Elizabeth A. Stormshak, Daniel S. Shaw, Melvin N. Wilson

A80: Strategies and challenges in housing first fidelity: A multistate qualitative analysis

Mimi Choy-Brown, Emmy Tiderington, Bikki Tran Smith, Deborah K. Padgett

A81: Procurement and contracting as an implementation strategy: Getting To Outcomes® contracting

Ronnie M. Rubin, Marilyn L. Ray, Abraham Wandersman, Andrea Lamont, Gordon Hannah, Kassandra A. Alia, Matthew O. Hurford, Arthur C. Evans

A82: Web-based feedback to aid successful implementation: The interactive Stages of Implementation Completion (SIC)^TM tool

Lisa Saldana, Holle Schaper, Mark Campbell, Patricia Chamberlain

A83: Efficient methodologies for monitoring fidelity in routine implementation: Lessons from the Allentown Social Emotional Learning Initiative

Valerie B. Shapiro, B.K. Elizabeth Kim, Jennifer L. Fleming, Paul A. LeBuffe

A84: The Society for Implementation Research Collaboration (SIRC) implementation development workshop: Results from a new methodology for enhancing implementation science proposals

Sara J. Landes, Cara C. Lewis, Allison L. Rodriguez, Brigid R. Marriott, Katherine Anne Comtois

A85: An update on the Society for Implementation Research Collaboration (SIRC) Instrument Review Project

Positive emotional engagement and autism risk

Positive emotional engagement develops in the context of face-to-face interactions during the first 6 months of life. Deficits in emotional engagement are characteristic of autism spectrum disorder (ASD) and may characterize the younger siblings of children with ASD (high-risk siblings). High-risk siblings are likely to exhibit a broad range of positive emotional engagement that may or may not be associated with ASD outcomes. We examined positive emotional engagement (i.e., smiling rate and contingent responsiveness to the partner's smile) during the infant-parent interaction episodes of the face-to-face/still face protocol at 6 months of age. The sample included 43 high-risk infant siblings, 11 of whom went on to an ASD diagnosis, and 25 low-risk siblings with no family history of ASD. Low-risk siblings and high-risk siblings without ASD showed the typical still-face effect (i.e., decreases in smiling rate after period of parental nonresponsiveness), but high-risk siblings with later ASD outcomes did not show this decrease. Although high-risk siblings without an ASD diagnosis were less likely to respond to their parents' smiles than were low-risk siblings, the children with eventual ASD did not differ from the other groups in contingent responsiveness. Findings suggest that subtle differences in positive emotional engagement are present in the early development of high-risk siblings but are not consistently associated with ASD outcomes.

Joint attention initiation with and without positive affect: risk group differences and associations with ASD symptoms

Infants at risk for autism spectrum disorders (ASD) may have difficulty integrating smiles into initiating joint attention (IJA) bids. A specific IJA pattern, anticipatory smiling, may communicate preexisting positive affect when an infant smiles at an object and then turns the smile toward the social partner. We compared the development of anticipatory smiling at 8, 10, and 12 months in infant siblings of children with ASD (high-risk siblings) and without ASD (low-risk siblings). High-risk siblings produced less anticipatory smiling than low-risk siblings, suggesting early differences in communicating preexisting positive affect. While early anticipatory smiling distinguished the risk groups, IJA not accompanied by smiling best predicted later severity of ASD-related behavioral characteristics among high-risk siblings. High-risk infants appear to show lower levels of motivation to share positive affect with others. However, facility with initiating joint attention in the absence of a clear index of positive affective motivation appears to be central to the prediction of ASD symptoms.

The Development of Referential Communication and Autism Symptomatology in High-Risk Infants

Non-verbal referential communication is impaired in children with Autism Spectrum Disorders (ASD). However, the development of difficulties with referential communication in the younger siblings of children with ASD (High-Risk Siblings)-and the degree to which early referential communication predicts later autism symptomatology-is not clear. We modeled the early developmental trajectories of three types of referential communication: responding to joint attention (RJA), initiating joint attention (IJA), and initiating behavioral requests (IBR) across 8, 10, 12, 15, and18 months of age in High-Risk Siblings (n = 40) and the infant siblings of children without ASD (Low-Risk Siblings; n = 21). Hierarchical Linear Modeling indicated that High-Risk Siblings exhibited lower levels of baseline RJA and IJA and a lower rate of linear change in IBR than Low-Risk Siblings. When the 10 High-Risk Siblings who received an ASD diagnosis were excluded from analyses, group differences in the development of referential communication remained significant only for RJA. Baseline levels of IJA were associated with later ASD symptomatology among High-Risk Siblings, suggesting that individual differences in referential communication development at 8 months may index early manifestations of ASD.