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Carey ME, Ardeleanu K, Marcus SC, Tao S, Mandell D, Epstein AJ, Shea LL. Short report on navigating access to care for Medicaid-enrolled autistic youth and young adults: Examining accrual of intellectual disability diagnoses in adolescence. Autism 2024; 28:780-785. [PMID: 37272053 PMCID: PMC10696126 DOI: 10.1177/13623613231177559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
LAY ABSTRACT What is known? In most states, Medicaid waivers provide individuals with an intellectual disability diagnosis generous healthcare coverage throughout adulthood. By comparison, fewer Medicaid programs are available for autistic individuals, and they are more likely to experience disruptions, or gaps, in Medicaid coverage and subsequently not re-enroll.What this paper adds? One in five autistic individuals with Medicaid coverage between ages 8 and 25 accrued a new intellectual disability diagnosis. The probability of a new intellectual disability diagnosis was higher among those who had previous disruptions in Medicaid coverage.Implications for research and policy. Expanding Medicaid to cover autistic people of all ages could decrease the need for intellectual disability diagnosis accrual. Input from autistic individuals and their families regarding their health insurance access and healthcare experiences is critically important to understanding next steps for research.
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Affiliation(s)
| | | | | | - Sha Tao
- Drexel University, Philadelphia, PA, USA
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Troxel M, Kraper C, Verbalis A, Safer-Lichtenstein J, Seese S, Ratto A, Myrick Y, Armour AC, Pugliese CE, Strang JF, Ba C, Martucci J, Biel MG, Jackson V, Hardy KK, Mandell D, Goode TD, Anthony BJ, Kenworthy L, Anthony LG. Reaching "The Other Half": Teacher Referral Increases Inclusivity in Intervention Research for Neurodivergent School-Age Children. J Clin Child Adolesc Psychol 2024:1-14. [PMID: 38270579 DOI: 10.1080/15374416.2024.2303723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
OBJECTIVE Researchers employed two recruitment strategies in a school-based comparative effectiveness trial for students with a diagnosis of attention-deficit/hyperactivity disorder (ADHD) or autism. This study assessed the: 1) effectiveness of school-based referrals for identifying students meeting diagnostic criteria and 2) impact of eliminating requirements for existing diagnoses on recruitment, sample characteristics, and intervention response. METHOD Autistic students and students with ADHD in schools serving underresourced communities were recruited for an executive functioning (EF) intervention trial over 2 years. In Year 1, school staff nominated students with previous diagnoses. In Year 2, school staff nominated students demonstrating EF challenges associated with ADHD or autism; previous diagnosis was not required. Study staff then confirmed diagnoses. RESULTS More students were included in Year 2 (N = 106) than Year 1 (N = 37). In Year 2, 96% of students referred by school staff met diagnostic criteria for ADHD or autism, 53% of whom were not previously diagnosed. Newly identified students were less likely than previously diagnosed students to be receiving services and, for those with ADHD, were more likely to speak primarily Spanish at home. Previously diagnosed and newly identified students did not differ on other demographic variables or intervention response. Caregivers of previously diagnosed students reported more symptoms than caregivers of newly identified students for both diagnostic groups. Previously diagnosed students with ADHD had more researcher-rated symptoms than newly identified students. CONCLUSIONS Recruitment for an intervention study using behavior-based referrals from school staff enhanced enrollment without compromising the sample's diagnostic integrity and engaged children who otherwise would have been excluded.
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Affiliation(s)
- Mary Troxel
- Department of Psychiatry, University of Colorado School of Medicine, and Pediatric Mental Health Institute, Children's Hospital of Colorado
| | - Catherine Kraper
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Alyssa Verbalis
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Jonathan Safer-Lichtenstein
- Department of Psychiatry, University of Colorado School of Medicine, and Pediatric Mental Health Institute, Children's Hospital of Colorado
| | - Sydney Seese
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Allison Ratto
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Yetta Myrick
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - A Chelsea Armour
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Cara E Pugliese
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - John F Strang
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Caroline Ba
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Jillian Martucci
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Matthew G Biel
- Department of Psychiatry, Georgetown University Medical Center
| | - Vivian Jackson
- Center for Child and Human Development, Georgetown University
| | - Kristina K Hardy
- Center for Autism Spectrum Disorders, Children's National Hospital
- Center for Child and Human Development, Georgetown University
| | - David Mandell
- Center for Mental Health, Department of Psychiatry, University of Pennsylvania, School of Medicine
| | - Tawara D Goode
- Center for Child and Human Development, Georgetown University
- National Center for Cultural Competence, Department of Pediatrics, Georgetown University Medical Center
| | - Bruno J Anthony
- Department of Psychiatry, University of Colorado School of Medicine, and Pediatric Mental Health Institute, Children's Hospital of Colorado
- Department of Psychiatry, Georgetown University Medical Center
- Center for Child and Human Development, Georgetown University
| | - Lauren Kenworthy
- Center for Autism Spectrum Disorders, Children's National Hospital
| | - Laura Gutermuth Anthony
- Department of Psychiatry, University of Colorado School of Medicine, and Pediatric Mental Health Institute, Children's Hospital of Colorado
- Center for Autism Spectrum Disorders, Children's National Hospital
- National Center for Cultural Competence, Department of Pediatrics, Georgetown University Medical Center
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French R, Compton P, Clapp J, Buttenheim A, Schachter A, Uhley O, Mandell D. Opportunities to improve opioid use disorder care for hospitalised patients with endocarditis. BMJ Open Qual 2023; 12:e002420. [PMID: 38114244 DOI: 10.1136/bmjoq-2023-002420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Driven by increased injection opioid use, rates of hospitalisation for infective endocarditis, an infection associated with injection drug use, are increasing. In the USA, 1 in 10 hospitalised patients for opioid use disorder-associated infective endocarditis (OUD-IE) die in the hospital and 1 in 20 have a patient-directed discharge. Emerging models of care reveal opportunities for healthcare systems to meet the complex care needs of these patients. We characterised promising practices of staff who care for these patients and identified areas for improvement. METHODS We conducted a qualitative study with 1-hour semistructured virtual interviews between October 2021 and March 2022. Participants included 26 healthcare staff who care for patients with OUD-IE at the Hospital of the University of Pennsylvania. We used thematic analysis of interviews guided by an abductive approach. Interviews were digitally recorded and transcribed and analysed using NVivo software. RESULTS Interviews were characterised by three major themes: (1) care rooted in interdisciplinary collaboration; (2) managing OUD and its sequelae in a setting not designed to treat OUD; and (3) clinician needs and barriers to change. CONCLUSIONS These findings highlight the facilitators of high-quality treatment for patients with OUD-IE, as well as the key areas for improvement. Findings add context to the complexity that both the healthcare staff and patients navigate during and following hospitalisation for OUD-IE. Needed changes include training staff to talk with patients about preparing for a return to drug use following hospitalisation, and changing discharge facilities' practices that hinder access for patients with OUD-IE.
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Affiliation(s)
- Rachel French
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Peggy Compton
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Justin Clapp
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alison Buttenheim
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Allison Schachter
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Olivia Uhley
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David Mandell
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Brown LA, Webster JL, Tran JT, Wolfe JR, Golinkoff J, Patel E, Arcomano AC, Ben Nathan J, Azat O'Connor A, Zhu Y, Oquendo M, Brown GK, Mandell D, Mowery D, Bauermeister JA. A Suicide Prevention Intervention for Emerging Adult Sexual and Gender Minority Groups: Protocol for a Pilot Hybrid Effectiveness Randomized Controlled Trial. JMIR Res Protoc 2023; 12:e48177. [PMID: 37773618 PMCID: PMC10576233 DOI: 10.2196/48177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/08/2023] [Accepted: 07/28/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Suicide attempts and suicide death disproportionately affect sexual and gender minority emerging adults (age 18-24 years). However, suicide prevention strategies tailored for emerging adult sexual and gender minority (EA-SGM) groups are not widely available. The Safety Planning Intervention (SPI) has strong evidence for reducing the risk for suicide in the general population, but it is unclear how best to support EA-SGM groups in their use of a safety plan. Our intervention (Supporting Transitions to Adulthood and Reducing Suicide [STARS]) builds on content from an existing life skills mobile app for adolescent men who have sex with men (iREACH) and seeks to target core risk factors for suicide among EA-SGM groups, namely, positive affect, discrimination, and social disconnection. The mobile app is delivered to participants randomized to STARS alongside 6 peer mentoring sessions to support the use of the safety plan and other life skills from the app to ultimately reduce suicide risk. OBJECTIVE We will pilot-test the combination of peer mentoring alongside an app-based intervention (STARS) designed to reduce suicidal ideation and behaviors. STARS will include suicide prevention content and will target positive affect, discrimination, and social support. After an in-person SPI with a clinician, STARS users can access content and activities to increase their intention to use SPI and overcome obstacles to its use. EA-SGM groups will be randomized to receive either SPI alone or STARS and will be assessed for 6 months. METHODS Guided by the RE-AIM (reach, efficacy, adoption, implementation, and maintenance) framework, we will recruit and enroll a racially and ethnically diverse sample of 60 EA-SGM individuals reporting past-month suicidal ideation. Using a type-1 effectiveness-implementation hybrid design, participants will be randomized to receive SPI (control arm) or to receive SPI alongside STARS (intervention arm). We will follow the participants for 6 months, with evaluations at 2, 4, and 6 months. Preliminary effectiveness outcomes (suicidal ideation and behavior) and hypothesized mechanisms of change (positive affect, coping with discrimination, and social support) will serve as our primary outcomes. Secondary outcomes include key implementation indicators, including participants' willingness and adoption of SPI and STARS and staff's experiences with delivering the program. RESULTS Study activities began in September 2021 and are ongoing. The study was approved by the institutional review board of the University of Pennsylvania (protocol number 849500). Study recruitment began on October 14, 2022. CONCLUSIONS This project will be among the first tailored, mobile-based interventions for EA-SGM groups at risk for suicide. This project is responsive to the documented gaps for this population: approaches that address chosen family, focus on a life-course perspective, web approaches, and focus on health equity and provision of additional services relevant to sexual and gender minority youth. TRIAL REGISTRATION ClinicalTrials.gov NCT05018143; https://classic.clinicaltrials.gov/ct2/show/NCT05018143. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/48177.
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Affiliation(s)
- Lily A Brown
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Jessica L Webster
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - Jennifer T Tran
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - James R Wolfe
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - Jesse Golinkoff
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - Esha Patel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Amanda C Arcomano
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - Jennifer Ben Nathan
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - Alexander Azat O'Connor
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - Yiqin Zhu
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Maria Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Gregory K Brown
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David Mandell
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Danielle Mowery
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States
| | - José A Bauermeister
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
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Boyd RC, Barcak D, Morales KH, Mandell D, Mogul M, Charidah T, Luethke M, Min J, Betancourt L, Guevara JP. Use and acceptability of Moodgym for postpartum depression in pediatric settings. Gen Hosp Psychiatry 2023; 84:1-2. [PMID: 37269600 PMCID: PMC10527409 DOI: 10.1016/j.genhosppsych.2023.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 05/22/2023] [Accepted: 05/25/2023] [Indexed: 06/05/2023]
Affiliation(s)
- Rhonda C Boyd
- Children's Hospital of Philadelphia, Roberts Pediatric Research Center, 2716 South Street, Philadelphia, PA 19146, USA.
| | - Danielle Barcak
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3550 Market Street, Philadelphia, PA 19104, USA
| | - Knashawn H Morales
- Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania Perelman School of Medicine, 432 Guardian Drive, Philadelphia, PA 19104, USA
| | - David Mandell
- Center for Mental Health, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3550 Market Street, Philadelphia, PA 19104, USA
| | - Marjie Mogul
- Maternity Care Coalition, 3401 I Street, Suite 407, Philadelphia, PA 19134, USA
| | - Talia Charidah
- Children's Hospital of Philadelphia, Roberts Pediatric Research Center, 2716 South Street, Philadelphia, PA 19146, USA
| | - Michael Luethke
- Children's Hospital of Philadelphia, Roberts Pediatric Research Center, 2716 South Street, Philadelphia, PA 19146, USA
| | - Jungwon Min
- Children's Hospital of Philadelphia, Roberts Pediatric Research Center, 2716 South Street, Philadelphia, PA 19146, USA
| | - Laura Betancourt
- Children's Hospital of Philadelphia, Roberts Pediatric Research Center, 2716 South Street, Philadelphia, PA 19146, USA
| | - James P Guevara
- Children's Hospital of Philadelphia, Roberts Pediatric Research Center, 2716 South Street, Philadelphia, PA 19146, USA; Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania Perelman School of Medicine, 432 Guardian Drive, Philadelphia, PA 19104, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA 19104, USA
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Cidav Z, Mandell D, Ingersoll B, Pellecchia M. Programmatic Costs of Project ImPACT for Children with Autism: A Time-Driven Activity Based Costing Study. Adm Policy Ment Health 2023; 50:402-416. [PMID: 36637638 PMCID: PMC9838366 DOI: 10.1007/s10488-022-01247-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2022] [Indexed: 01/14/2023]
Abstract
Programmatic cost assessment of clinical interventions can inform future dissemination and implementation efforts. We conducted a randomized trial of Project ImPACT (Improving Parents As Communication Teachers) in which community early intervention (EI) providers coached caregivers in techniques to improve young children's social communication skills. We estimated implementation and intervention costs while demonstrating an application of Time-Driven Activity-Based Costing (TDABC). We defined Project ImPACT implementation and intervention as processes that can be broken down successively into a set of procedures. We created process maps for both implementation and intervention delivery. We determined resource use and costs, per unit procedure in the first year of the program, from a payer perspective. We estimated total implementation cost per clinician and per site, intervention cost per child, and provided estimates of total hours spent and associated costs for implementation strategies, intervention activities and their detailed procedures. Total implementation cost was $43,509 per clinic and $14,503 per clinician. Clinician time (60%) and coach time (12%) were the most expensive personnel resources. Implementation coordination and monitoring (47%), ongoing consultation (26%) and clinician training (19%) comprised most of the implementation cost, followed by fidelity assessment (7%), and stakeholder engagement (1%). Per-child intervention costs were $2619 and $9650, respectively, at a dose of one hour per week and four hours per week Project ImPACT. Clinician and clinic leader time accounted for 98% of per child intervention costs. Highest cost intervention activity was ImPACT delivery to parents (89%) followed by assessment for child's ImPACT eligibility (10%). The findings can be used to inform funding and policy decision-making to enhance early intervention options for young children with autism. Uncompensated time costs of clinicians are large which raises practical and ethical concerns and should be considered in planning of implementation initiatives. In program budgeting, decisionmakers should anticipate resource needs for coordination and monitoring activities. TDABC may encourage researchers to assess costs more systematically, relying on process mapping and gathering prospective data on resource use and costs concurrently with their collection of other trial data.
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Affiliation(s)
- Zuleyha Cidav
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
| | - David Mandell
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Brooke Ingersoll
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Melanie Pellecchia
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Guevara JP, Morales K, Mandell D, Mogul M, Charidah T, Luethke M, Min J, Clark R, Betancourt L, Boyd R. Social Media-based Parenting Program for Women With Postpartum Depressive Symptoms: An RCT. Pediatrics 2023; 151:e2022058719. [PMID: 36808207 PMCID: PMC9979254 DOI: 10.1542/peds.2022-058719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/16/2022] [Indexed: 02/23/2023] Open
Abstract
OBJECTIVES To test effects of a social media-based parenting program for mothers with postpartum depressive symptoms. METHODS We conducted a randomized controlled trial from December 2019 to August 2021 of a parenting program using Facebook. Women with mild-to-moderate depressive symptoms (Edinburgh Postnatal Depression Scale [EPDS] 10-19) were randomized to the program, plus online depression treatment or depression treatment alone for 3 months. Women completed the EPDS monthly and the Parent-Child Early Relational Assessment, Parenting Stress Index-Short Form, and Parenting Sense of Competence pre- and postintervention. Differences among groups were assessed using intention-to-treat analysis. RESULTS Seventy-five women enrolled and 66 (88%) completed the study. Participants were predominantly Black (69%), single (57%), with incomes <$55 000 (68%). The parenting group reported a more rapid decline in depressive symptoms than the comparison group (adjusted EPDS difference, -2.9; 95% confidence interval, -4.8 to -1.0 at 1 month). There were no significant group X time interactions for the Parent-Child Early Relational Assessment, Parenting Stress Index-Short Form, or Parenting Sense of Competence scores. Forty-one percent of women sought mental health treatment for worsening symptoms or suicidality. Women in the parenting group who exhibited greater engagement or reported mental health treatment had greater parenting responsiveness. CONCLUSIONS A social media-based parenting program led to more rapid declines in depressive symptoms but no differences in responsive parenting, parenting stress, or parenting competence relative to a comparison group. Social media can provide parenting support for women with postpartum depressive symptoms, but greater attention to engagement and treatment access are needed to improve parenting outcomes.
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Affiliation(s)
- James P. Guevara
- Departments of Pediatrics
- Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine
- Leonard Davis Institute of Health Economics
| | - Knashawn Morales
- Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine
| | - David Mandell
- Leonard Davis Institute of Health Economics
- Center for Mental Health, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Marjie Mogul
- Maternity Care Coalition, Philadelphia, Pennsylvania
| | | | | | | | - Roseanne Clark
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Laura Betancourt
- Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Rhonda Boyd
- Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
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Smith JL, Khatri UG, Olubiyi O, Hadley T, Lim S, Mandell D, Kang-Yi C. Behavioral health service use post-jail release and reduced risk of return to jail. J Community Psychol 2022; 50:3044-3053. [PMID: 35132631 DOI: 10.1002/jcop.22813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 11/05/2021] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
This study examined whether behavioral health service use post-jail release was associated with reduced risk of jail reincarceration. The study sample included 20,615 individuals who had behavioral health diagnoses and were released from the Philadelphia County jail. Using administrative records of the county jail and state-, county-, and Medicaid-funded behavioral health service use from 2010 to 2018, we conducted Cox proportional hazard analyses to estimate the association between behavioral health service use post-jail release and the risk of return to jail within 3 years. Nearly 50% of the sample returned to jail within 3 years. Individuals who used behavioral health services were 26%-38% less likely to return to jail within 3 years than were individuals who did not. The study results suggest that connecting individuals with behavioral health services upon release from jail can reduce the risk of repeated jail incarceration.
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Affiliation(s)
- Joseph L Smith
- HealthCore, Inc., Wilmington, Delaware, USA
- College of Population Health, Jefferson University, Philadelphia, Pennsylvania, USA
| | - Utsha G Khatri
- Emergency Medicine, Population Health Science and Policy, Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Oluwatoyin Olubiyi
- Philadelphia Department of Public Health, Philadelphia, Pennsylvania, USA
| | - Trevor Hadley
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Suet Lim
- Philadelphia Department of Behavioral Health and Intellectual disAbility Services, Philadelphia, Pennsylvania, USA
| | - David Mandell
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Christina Kang-Yi
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Abstract
Enrollment in Medicaid facilitates access to needed services among transition-age youth on the autism spectrum and youth with intellectual disability (ID). There are long-standing programs to ensure that individuals with ID remain enrolled as they age; similar programs for autistic youth are newer, not as widespread, and may not be as effective. We compared Medicaid disenrollment and re-enrollment between transition-age youth on the autism spectrum, youth with ID, and youth with both diagnoses using a national claims-based prospective cohort study from 2008 through 2012. Autistic youth were most likely to disenroll and least likely to re-enroll. Disenrollment peaked for all three groups at ages 19 and 21. Transition-age youth on the autism spectrum experience more disruptions in access to Medicaid-reimbursed services than youth with ID. More equitable Medicaid enrollment options for autistic individuals are needed to ensure their access to critical health care as they age.
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Affiliation(s)
| | - Sha Tao
- Drexel University, Philadelphia, PA, USA
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10
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Fishman J, Yang C, Mandell D. Correction to: Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement. Implement Sci 2022; 17:33. [PMID: 35606859 PMCID: PMC9125899 DOI: 10.1186/s13012-022-01204-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Dopp AR, Gilbert M, Silovsky J, Ringel JS, Schmidt S, Funderburk B, Jorgensen A, Powell BJ, Luke DA, Mandell D, Edwards D, Blythe M, Hagele D. Coordination of sustainable financing for evidence-based youth mental health treatments: protocol for development and evaluation of the fiscal mapping process. Implement Sci Commun 2022; 3:1. [PMID: 34983689 PMCID: PMC8724666 DOI: 10.1186/s43058-021-00234-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 11/01/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Sustained delivery of evidence-based treatments (EBTs) is essential to addressing the public health and economic impacts of youth mental health problems, but is complicated by the limited and fragmented funding available to youth mental health service agencies (hereafter, "service agencies"). Strategic planning tools are needed that can guide these service agencies in their coordination of sustainable funding for EBTs. This protocol describes a mixed-methods research project designed to (1) develop and (2) evaluate our novel fiscal mapping process that guides strategic planning efforts to finance the sustainment of EBTs in youth mental health services. METHOD Participants will be 48 expert stakeholder participants, including representatives from ten service agencies and their partners from funding agencies (various public and private sources) and intermediary organizations (which provide guidance and support on the delivery of specific EBTs). Aim 1 is to develop the fiscal mapping process: a multi-step, structured tool that guides service agencies in selecting the optimal combination of strategies for financing their EBT sustainment efforts. We will adapt the fiscal mapping process from an established intervention mapping process and will incorporate an existing compilation of 23 financing strategies. We will then engage participants in a modified Delphi exercise to achieve consensus on the fiscal mapping process steps and gather information that can inform the selection of strategies. Aim 2 is to evaluate preliminary impacts of the fiscal mapping process on service agencies' EBT sustainment capacities (i.e., structures and processes that support sustainment) and outcomes (e.g., intentions to sustain). The ten agencies will pilot test the fiscal mapping process. We will evaluate how the fiscal mapping process impacts EBT sustainment capacities and outcomes using a comparative case study approach, incorporating data from focus groups and document review. After pilot testing, the stakeholder participants will conceptualize the process and outcomes of fiscal mapping in a participatory modeling exercise to help inform future use and evaluation of the tool. DISCUSSION This project will generate the fiscal mapping process, which will facilitate the coordination of an array of financing strategies to sustain EBTs in community youth mental health services. This tool will promote the sustainment of youth-focused EBTs.
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Affiliation(s)
- Alex R Dopp
- Department of Behavioral and Policy Sciences, RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.
| | - Marylou Gilbert
- Department of Behavioral and Policy Sciences, RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA
| | - Jane Silovsky
- Department of Pediatrics, Division of Developmental and Behavioral Pediatrics, University of Oklahoma Health Sciences Center, 940 NE 13th Street Suite 4900, Oklahoma City, OK, 73104, USA
| | - Jeanne S Ringel
- Department of Economics, Sociology, and Statistics, RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA
| | - Susan Schmidt
- Department of Pediatrics, Division of Developmental and Behavioral Pediatrics, University of Oklahoma Health Sciences Center, 940 NE 13th Street Suite 4900, Oklahoma City, OK, 73104, USA
| | - Beverly Funderburk
- Department of Pediatrics, Division of Developmental and Behavioral Pediatrics, University of Oklahoma Health Sciences Center, 940 NE 13th Street Suite 4900, Oklahoma City, OK, 73104, USA
| | - Ashley Jorgensen
- Department of Pediatrics, Division of Developmental and Behavioral Pediatrics, University of Oklahoma Health Sciences Center, 940 NE 13th Street Suite 4900, Oklahoma City, OK, 73104, USA
| | - Byron J Powell
- Center for Mental Health Services Research, Brown School and School of Medicine, Washington University, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63130, USA
| | - Douglas A Luke
- Brown School, Washington University, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63130, USA
| | - David Mandell
- Department of Psychiatry, University of Pennsylvania, 3535 Market Street, 3rd Fl., Philadelphia, PA, 19104, USA
| | - Daniel Edwards
- Evidence-Based Associates, 1311 Delaware Ave, Suite 637, Washington, DC, 20024, USA
| | - Mellicent Blythe
- NC Child Treatment Program c/o Center for Child and Family Health, 1121 W, Chapel Hill St. Ste. 100, Durham, NC, 27701, USA
| | - Dana Hagele
- NC Child Treatment Program c/o Center for Child and Family Health, 1121 W, Chapel Hill St. Ste. 100, Durham, NC, 27701, USA
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Aronowitz SV, Engel-Rebitzer E, Dolan A, Oyekanmi K, Mandell D, Meisel Z, South E, Lowenstein M. Telehealth for opioid use disorder treatment in low-barrier clinic settings: an exploration of clinician and staff perspectives. Harm Reduct J 2021; 18:119. [PMID: 34823538 PMCID: PMC8614631 DOI: 10.1186/s12954-021-00572-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/12/2021] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND The majority of individuals with opioid use disorder (OUD) face access barriers to evidence-based treatment, and the COVID-19 pandemic has exacerbated the United States (US) opioid overdose crisis. However, the pandemic has also ushered in rapid transitions to telehealth in the USA, including for substance use disorder treatment with buprenorphine. These changes have the potential to mitigate barriers to care or to exacerbate pre-existing treatment inequities. The objective of this study was to qualitatively explore Philadelphia-based low-barrier, harm-reduction oriented, opioid use disorder (OUD) treatment provider perspectives about and experiences with telehealth during the COVID-19 pandemic, and to assess their desire to offer telehealth to patients at their programs in the future. METHODS We interviewed 22 OUD treatment prescribers and staff working outpatient programs offering OUD treatment with buprenorphine in Philadelphia during July and August 2020. All participants worked at low-barrier treatment programs that provide buprenorphine using a harm reduction-oriented approach and without mandating counseling or other requirements as a condition of treatment. We analyzed the data using thematic content analysis. RESULTS Our analysis yielded three themes: 1/ Easier access for some: telehealth facilitates care for many patients who have difficulty attending in-person appointments due to logistical and psychological barriers; 2/ A layered digital divide: engagement with telehealth can be seriously limited by patients' access to and comfort with technology; and 3/ Clinician control: despite some clinic staff beliefs that patients should have the freedom to choose their treatment modality, patients' access to treatment via telehealth may hinge on clinician perceptions of patient "stability" rather than patient preferences. CONCLUSIONS Telehealth may address many access issues, however, barriers to implementation remain, including patient ability and desire to attend healthcare appointments virtually. In addition, the potential for telehealth models to extend OUD care to patients currently underserved by in-person models may partially depend on clinician comfort treating patients deemed "unstable" via this modality. The ability of telehealth to expand access to OUD care for individuals who have previously struggled to engage with in-person care will likely be limited if these patients are not given the opportunity to receive treatment via telehealth.
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Affiliation(s)
- Shoshana V Aronowitz
- University of Pennsylvania School of Nursing, 418 Curie Blvd, Room 419, Philadelphia, PA, 19104, USA.
| | - Eden Engel-Rebitzer
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Abby Dolan
- University of Pennsylvania Center for Emergency Care Policy and Research, Philadelphia, PA, USA
| | - Kehinde Oyekanmi
- University of Pennsylvania Center for Emergency Care Policy and Research, Philadelphia, PA, USA
| | - David Mandell
- Penn Center for Mental Health, University of Pennsylvania, Philadelphia, PA, USA
| | - Zachary Meisel
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Eugenia South
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Margaret Lowenstein
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Thurm A, Halladay A, Mandell D, Maye M, Ethridge S, Farmer C. Making Research Possible: Barriers and Solutions For Those With ASD and ID. J Autism Dev Disord 2021; 52:4646-4650. [PMID: 34716842 DOI: 10.1007/s10803-021-05320-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2021] [Indexed: 11/26/2022]
Abstract
Participation in research can provide direct and indirect benefit to individuals with autism spectrum disorder (ASD), their caregivers, families, and society at large. Unfortunately, individuals with high support needs, including those with intellectual disability, cognitive disability or minimal verbal ability, are often systematically excluded from research on ASD. This limits the ability to generalize discoveries to all people with ASD, and results in a disparity in who benefits from research. This piece outlines the importance and extent of the problem, which is part of a broader lack of inclusivity in ASD research. It also provides examples of studies that have directly addressed issues that arise when conducting inclusive research and makes recommendations for researchers to reduce disparities in research participation.
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Affiliation(s)
- Audrey Thurm
- National Institute of Mental Health, Bethesda, MD, USA.
| | - Alycia Halladay
- Autism Science Foundation, New York, NY, USA
- Rutgers University, Piscataway, NJ, USA
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Fishman J, Yang C, Mandell D. Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement. Implement Sci 2021; 16:87. [PMID: 34521422 PMCID: PMC8438998 DOI: 10.1186/s13012-021-01153-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 08/16/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Implementation science studies often express interest in "attitudes," a term borrowed from psychology. In psychology, attitude research has an established methodological and theoretical base, which we briefly summarize here. We then review implementation studies designed to measure attitudes and compare their definitions and methods with those from psychology. METHODS A recent review identified 46 studies empirically examining factors associated with implementation. For each of these studies, we evaluated whether authors included attitudes as a construct of interest, and if so, whether and how the construct was defined, measured, and analyzed. RESULTS Most of the articles (29/46 [63%]) mention attitudes as an implementation factor. Six articles include a definition of the construct. Nineteen studies were designed to measure attitudes but lacked clarity in describing how attitudes were measured. Those that explained their measurement approach used methods that differed from one another and from validated methods in social psychology. Few articles described associated analyses or provided results specific to attitudes. Despite the lack of specificity regarding relevant measurement, analysis, and results, the articles often included causal conclusions about the role of attitudes. CONCLUSIONS Attitudes may be an important construct to implementation scientists, but studies to date are ambiguous in their definitions of attitudes and inconsistent in the methods used to measure and analyze attitudes. We discuss how implementation studies can apply psychology's standardized definitions, validated measurement approaches, and causal models that include attitudes. This application of attitude theory and methods could offer implementation research valuable scientific opportunities.
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Affiliation(s)
- Jessica Fishman
- Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Floor 3, Philadelphia, PA, 19104, USA.
| | - Catherine Yang
- Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Floor 3, Philadelphia, PA, 19104, USA
| | - David Mandell
- Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Floor 3, Philadelphia, PA, 19104, USA
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15
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Cidav Z, Marcus S, Mandell D, Hornbrook MC, Mo JJ, Sun V, Ercolano E, Wendel CS, Weinstein RS, Holcomb MJ, Grant M, Rock M, Krouse RS. Programmatic Costs of the Telehealth Ostomy Self-Management Training: An Application of Time-Driven Activity-Based Costing. Value Health 2021; 24:1245-1253. [PMID: 34452703 DOI: 10.1016/j.jval.2021.03.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 02/19/2021] [Accepted: 03/29/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES Programmatic cost assessment of novel clinical interventions can inform their widespread dissemination and implementation. This study aimed to determine the programmatic costs of a telehealth Ostomy Self-Management Training (OSMT) intervention for cancer survivors using Time-Driven Activity-Based Costing (TDABC) methodology. METHODS We demonstrated a step-by-step application of TDABC based on a process map with core OSMT intervention activities and associated procedures and determined resource use and costs, per unit procedure. We also assessed per-patient costs from a payer perspective and provided estimates of total hours and costs by personnel, activity, and procedure. RESULTS The per-patient cost of the OSMT was $1758. Personnel time accounted for 91% of the total cost. Site supervisor and information technology technician time were the most expensive personnel resources. Telehealth technical and communication equipment accounted for 8% of the total cost. Intervention coordination and monitoring efforts represented most of the total time cost (62%), followed by the intervention delivery (35%). The procedures with the highest cost were communication via phone or virtual meetings (24%), email exchanges (18%), and telehealth session delivery (18%). CONCLUSIONS Future efforts to replicate, disseminate, and implement the OSMT intervention should anticipate funding for nonclinical components of the intervention, including coordination and monitoring, and consider how these activities can be performed most efficiently. For institutions without established telemedicine programs, selection of videoconferencing platforms and adequate staffing for participant technical support should be considered. Our step-by-step application of TDABC serves as a case study demonstrating how interventionists can gather data on resource use and costs of intervention activities concurrently with their collection of trial data.
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Affiliation(s)
- Zuleyha Cidav
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Steven Marcus
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David Mandell
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Julia J Mo
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia Sun
- Division of Nursing Research and Education, City of Hope Medical Center, Duarte, CA, USA
| | | | | | | | | | - Marcia Grant
- Division of Nursing Research and Education, City of Hope Medical Center, Duarte, CA, USA
| | - Matthew Rock
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert S Krouse
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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16
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Fletcher-Watson S, Bölte S, Crompton CJ, Jones D, Lai MC, Mandy W, Pellicano L, Stahmer A, Taylor J, Mandell D. Publishing standards for promoting excellence in autism research. Autism 2021; 25:1501-1504. [PMID: 34320849 DOI: 10.1177/13623613211019830] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Shea LL, Koffer Miller KH, Verstreate K, Tao S, Mandell D. States' use of Medicaid to meet the needs of autistic individuals. Health Serv Res 2021; 56:1207-1214. [PMID: 34251042 DOI: 10.1111/1475-6773.13671] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To assess the use of Medicaid programs, including waivers, to address the needs of aging autistic individuals. DATA SOURCES We gathered data on Medicaid programs in place between 2004 and 2015 for 50 states and the District of Columbia from the Centers for Medicare and Medicaid Services website, by contacting state Medicaid administrators and advocacy groups, and by reviewing the Medicaid Analytic eXtract Waiver Crosswalk. STUDY DESIGN This retrospective analysis classified each Medicaid program and documented state changes over time in eligibility criteria: those serving autism spectrum disorder only, autism spectrum disorder or intellectual disability, and intellectual disability only. DATA COLLECTION/EXTRACTION METHODS We captured age and diagnosis eligibility criteria for Medicaid programs serving any of the three target groups. PRINCIPAL FINDINGS A total of 269 Medicaid programs met our criteria and most programs (51%) were 1915(c) waivers. The number of autism-specific 1915(c) waivers grew more than fivefold during the study period, outpacing increases in waivers serving individuals with intellectual disability. CONCLUSIONS States varied in their use of Medicaid to address the needs of the aging autism population. Further study of characteristics of states that changed their Medicaid programs, and of the health care use and outcomes associated with these changes, are needed to identify opportunities to replicate effective approaches to meeting the needs of this population.
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Affiliation(s)
- Lindsay Lawer Shea
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA
| | | | - Kate Verstreate
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA
| | - Sha Tao
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA
| | - David Mandell
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Williams NJ, Frederick L, Ching A, Mandell D, Kang-Yi C, Locke J. Embedding school cultures and climates that promote evidence-based practice implementation for youth with autism: A qualitative study. Autism 2021; 25:982-994. [PMID: 33307761 PMCID: PMC8089033 DOI: 10.1177/1362361320974509] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
LAY ABSTRACT Schools play a major role in providing services to youth with autism; however, not all schools use evidence-based practices, defined as interventions that are proven to improve youth well-being through rigorous research. School culture and climate are strong predictors of whether or not a school uses evidence-based practices; however, little is known about how principals can create school cultures and climates that support the use of these practices. This study interviewed 32 teachers in elementary schools that implemented three closely related evidence-based practices for youth with autism to better understand how principals create school cultures and climates that support effective services. Analysis of the teachers' responses identified seven strategies principals can use to create school cultures and climates that support the implementation of effective practices for youth with autism. The strategies include the following: (a) support teachers to obtain professional development focused on autism, (b) align performance expectations and evaluations with the needs of students with autism and evidence-based practice delivery, (c) allocate resources to ensure adequate staff, materials, and training are available to implement evidence-based practices, (d) be open and flexible to allow teachers to use the building and resources as needed to meet students' needs, (e) provide direct assistance, feedback, and coaching to troubleshoot challenges or involve outside experts to do so, (f) openly value the work of special education teachers and provide recognition to those who develop expertise in evidence-based practices, and (g) look for opportunities to integrate special and general education teachers and students to foster a truly inclusive climate.
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Lubitz SF, Flitter A, Wileyto EP, Ziedonis D, Stevens N, Leone F, Mandell D, Kimberly J, Beidas R, Schnoll RA. History and Correlates of Smoking Cessation Behaviors Among Smokers With Serious Mental Illness. Nicotine Tob Res 2021; 22:1492-1499. [PMID: 31816049 DOI: 10.1093/ntr/ntz229] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 12/06/2019] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Individuals with serious mental illness (SMI) smoke at rates two to three times greater than the general population but are less likely to receive treatment. Increasing our understanding of correlates of smoking cessation behaviors in this group can guide intervention development. AIMS AND METHODS Baseline data from an ongoing trial involving smokers with SMI (N = 482) were used to describe smoking cessation behaviors (ie, quit attempts, quit motivation, and smoking cessation treatment) and correlates of these behaviors (ie, demographics, attitudinal and systems-related variables). RESULTS Forty-three percent of the sample did not report making a quit attempt in the last year, but 44% reported making one to six quit attempts; 43% and 20%, respectively, reported wanting to quit within the next 6 months or the next 30 days. Sixty-one percent used a smoking cessation medication during their quit attempt, while 13% utilized counseling. More quit attempts were associated with lower nicotine dependence and carbon monoxide and greater beliefs about the harms of smoking. Greater quit motivation was associated with lower carbon monoxide, minority race, benefits of cessation counseling, and importance of counseling within the clinic. A greater likelihood of using smoking cessation medications was associated with being female, smoking more cigarettes, and receiving smoking cessation advice. A greater likelihood of using smoking cessation counseling was associated with being male, greater academic achievement, and receiving smoking cessation advice. CONCLUSIONS Many smokers with SMI are engaged in efforts to quit smoking. Measures of smoking cessation behavior are associated with tobacco use indicators, beliefs about smoking, race and gender, and receiving cessation advice. IMPLICATIONS Consideration of factors related to cessation behaviors among smokers with SMI continues to be warranted, due to their high smoking rates compared to the general population. Increasing our understanding of these predictive characteristics can help promote higher engagement in evidence-based smoking cessation treatments among this subpopulation.
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Affiliation(s)
- Su Fen Lubitz
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alex Flitter
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - E Paul Wileyto
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA
| | - Douglas Ziedonis
- Department of Psychiatry, University of California, San Diego, CA
| | - Nathaniel Stevens
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Frank Leone
- Department of Medicine, Pulmonary, Allergy, & Critical Care Division, University of Pennsylvania, Philadelphia, PA
| | - David Mandell
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - John Kimberly
- Department of Management, The Wharton School of Business, University of Pennsylvania, Philadelphia, PA
| | - Rinad Beidas
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA
| | - Robert A Schnoll
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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20
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Harris JF, Coffield CN, Janvier YM, Mandell D, Cidav Z. Validation of the Developmental Check-In Tool for Low-Literacy Autism Screening. Pediatrics 2021; 147:peds.2019-3659. [PMID: 33303635 DOI: 10.1542/peds.2019-3659] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/09/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Persistent disparities exist in early identification of autism spectrum disorder (ASD) among children from low-income families who are racial and/or ethnic minorities and where English is not the primary language. Parental literacy and level of maternal education may contribute to disparities. The Developmental Check-In (DCI) is a visually based ASD screening tool created to reduce literacy demands and to be easily administered and scored across settings. In a previous study, the DCI showed acceptable discriminative ability between ASD versus non-ASD in a young, underserved sample at high-risk for ASD. In this study, we tested the DCI among an unselected, general sample of young underserved children. METHODS Six hundred twenty-four children ages 24 to 60 months were recruited through Head Start and Early Head Start. Parents completed the DCI, Modified Checklist for Autism in Toddlers, Revised with Follow-Up, and Social Communication Questionnaire. Children scoring positive on any measure received evaluation for ASD. Those screening negative on both Modified Checklist for Autism in Toddlers, Revised with Follow-Up and Social Communication Questionnaire were considered non-ASD. RESULTS Parents were primarily Hispanic, reported high school education or less, and had public or no insurance. The DCI demonstrated good discriminative power (area under the curve = 0.80), performing well across all age groups, genders, levels of maternal education, primary language, and included ethnic and racial groups. Item-level analyses indicated that 24 of 26 DCI items discriminated ASD from non-ASD. CONCLUSIONS The DCI is a promising ASD screening tool for young, underserved children and may be of particular value in screening for ASD for those with low literacy levels or with limited English proficiency.
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Affiliation(s)
- Jill F Harris
- Children's Specialized Hospital, New Brunswick, New Jersey;
| | | | | | - David Mandell
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zuleyha Cidav
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
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Wolk CB, Locke J, Salas E, Eiraldi R, Cronholm PF, Mandell D. An examination of the factor structure of TeamSTEPPS measures in school mental health teams. J Psychol Couns Sch 2020; 30:172-184. [PMID: 33777407 PMCID: PMC7995600 DOI: 10.1017/jgc.2019.18] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS™) is a tested strategy for improving communication and climate in hospitals. It is a promising but untested tool among school-based mental health teams. We examined the psychometric properties of the TeamSTEPPS Teamwork Perceptions Questionnaire (T-TPQ) and Teamwork Attitudes Questionnaire (T-TAQ) among 167 school mental health team members. Team members worked for one of five agencies in 33 K-8 urban public schools. Exploratory factor analyses and descriptive data are presented. For both the T-TPQ and T-TAQ, a unitary factor structure best fit the data for this sample. The T-TPQ and T-TAQ were not significantly correlated with one another and total scores did not significantly differ by staff role. Agencies differed in T-TAQ results, and one agency had lower T-TAQ total scores relative to other agencies. Results suggest that the factor structures are different among school mental health teams than among other healthcare providers.
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Affiliation(s)
- Courtney Benjamin Wolk
- Center for Mental Health Policy and Services Research, Perelman School of Medicine, University of Pennsylvania. 3535 Market Street, Floor 3, Philadelphia, PA 19104
- Corresponding author Phone: 215-746-6099; Fax: 215-349-8715
| | - Jill Locke
- Department of Speech and Hearing Sciences, University of Washington. 1701 NE Columbia Road, Seattle, WA 98195
| | - Eduardo Salas
- Department of Psychology, Rice University. P.O. Box 1892, Houston, TX 77251
| | - Ricardo Eiraldi
- Division of Developmental and Behavioral Pediatrics, Perelman School of Medicine, University of Pennsylvania, 2716 South Street, 8th floor, Philadelphia, PA 19146
| | - Peter F. Cronholm
- Department of Family Medicine and Community Health, University of Pennsylvania, 51 North 39th Street, 6th Floor Mutch Bld, Philadelphia, PA 19104
| | - David Mandell
- Center for Mental Health Policy and Services Research, Perelman School of Medicine, University of Pennsylvania. 3535 Market Street, Floor 3, Philadelphia, PA 19104
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22
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Iadarola S, Pellecchia M, Stahmer A, Lee HS, Hauptman L, Hassrick EM, Crabbe S, Vejnoska S, Morgan E, Nuske H, Luelmo P, Friedman C, Kasari C, Gulsrud A, Mandell D, Smith T. Mind the gap: an intervention to support caregivers with a new autism spectrum disorder diagnosis is feasible and acceptable. Pilot Feasibility Stud 2020; 6:124. [PMID: 32944273 PMCID: PMC7487627 DOI: 10.1186/s40814-020-00662-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 08/03/2020] [Indexed: 11/12/2022] Open
Abstract
Introduction Children with autism spectrum disorder (ASD) benefit when their caregivers can effectively advocate for appropriate services. Barriers to caregiver engagement such as provider mistrust, cultural differences, stigma, and lack of knowledge can interfere with timely service access. We describe Mind the Gap (MTG), an intervention that provides education about ASD, service navigation, and other topics relevant to families whose children have a new ASD diagnosis. MTG was developed via community partnerships and is explicitly structured to reduce engagement barriers (e.g., through peer matching, meeting flexibility, culturally-informed practices). We also present on the results of a pilot of MTG, conducted in preparation for a randomized controlled trial. Methods MTG was evaluated using mixed methods that included qualitative analysis and pre/post-test without concurrent comparison group. Participants (n=9) were primary caregivers of children (ages 2-7 years) with a recent ASD diagnosis and whose annual income was at or below 185% of the federal poverty level. In order to facilitate trust and relationship building, peer coaches delivered MTG. The coaches were parents of children with ASD who we trained to deliver the intervention. MTG consisted of up to 12 meetings between coaches and caregivers over the course of 18 weeks. Coaches delivered the intervention in homes and other community locations. Coaches shared information about various “modules,” which were topics identified as important for families with a new ASD diagnosis. Coaches worked with families to answer questions, set weekly goals, assess progress, and offer guidance. For the pilot, we focused on three primary outcomes: feasibility, engagement, and satisfaction. Feasibility was measured via enrollment and retention data, as well as coach fidelity (i.e., implementation of MTG procedures). Engagement was measured via number of sessions attended and percentage completion of the selected outcome measures. For completers (n=7), satisfaction was measured via a questionnaire (completed by caregivers) and open-ended interviews (completed by caregivers and coaches). Results We enrolled 56% of referred caregivers and 100% of eligible families. Retention was high (78%). Coaches could deliver the intervention with fidelity, completing, on average, 83% of program components. Engagement also was high; caregivers attended an average of 85% of total possible sessions and completed 100% of their measures. Caregivers indicated moderately high satisfaction with MTG. Qualitative data indicated that caregivers and coaches were positive about intervention content, and the coach-caregiver relationship was important. They also had suggestions for changes. Conclusion Mind the Gap demonstrates evidence of feasibility, and data from the pilot suggest that it addresses intervention engagement barriers for a population that is under-represented in research. The results and suggestions from participants were used to inform a large-scale RCT, which is currently underway. Overall, MTG shows promise as an intervention that can be feasibly implemented with under-resourced and ethnic minority families of children with ASD Trial registration This study is registered with ClinicalTrials.gov: NCT03711799.
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Affiliation(s)
- Suzannah Iadarola
- University of Rochester Medical Center, 601 Elmwood Ave, Box 671, Rochester, NY 14642 USA
| | - Melanie Pellecchia
- University of Pennsylvania, 3535 Market St, 3rd floor, Philadelphia, PA 19104 USA
| | - Aubyn Stahmer
- University of California, Davis, 2825 50th St, Sacramento, CA 95817 USA
| | - Hyon Soo Lee
- University of California, Los Angeles, UCLA Semel Institute 68-268, Los Angeles, CA 90024 USA
| | - Lindsay Hauptman
- University of California, Los Angeles, UCLA Semel Institute 68-268, Los Angeles, CA 90024 USA
| | | | - Samantha Crabbe
- University of Pennsylvania, 3535 Market St, 3rd floor, Philadelphia, PA 19104 USA
| | - Sarah Vejnoska
- University of California, Davis, 2825 50th St, Sacramento, CA 95817 USA
| | - Elizabeth Morgan
- University of California, Davis, 2825 50th St, Sacramento, CA 95817 USA
| | - Heather Nuske
- University of Pennsylvania, 3535 Market St, 3rd floor, Philadelphia, PA 19104 USA
| | - Paul Luelmo
- San Diego State University, 5500 Campanile Dr, San Diego, CA 92182 USA
| | - Chris Friedman
- Drexel University, 3020 Market Street
- Suite 560, Philadelphia, PA 19104 USA
| | - Connie Kasari
- University of California, Davis, 2825 50th St, Sacramento, CA 95817 USA
| | - Amanda Gulsrud
- University of California, Los Angeles, UCLA Semel Institute 68-268, Los Angeles, CA 90024 USA
| | - David Mandell
- University of Pennsylvania, 3535 Market St, 3rd floor, Philadelphia, PA 19104 USA
| | - Tristram Smith
- University of Rochester Medical Center, 601 Elmwood Ave, Box 671, Rochester, NY 14642 USA
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Dopp AR, Narcisse MR, Mundey P, Silovsky JF, Smith AB, Mandell D, Funderburk BW, Powell BJ, Schmidt S, Edwards D, Luke D, Mendel P. A scoping review of strategies for financing the implementation of evidence-based practices in behavioral health systems: State of the literature and future directions. Implementation Research and Practice 2020; 1:2633489520939980. [PMID: 37089129 PMCID: PMC9924261 DOI: 10.1177/2633489520939980] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background: Increased availability of evidence-based practices (EBPs) is essential to alleviating the negative public health and societal effects of behavioral health problems. A major challenge to implementing and sustaining EBPs broadly is the limited and fragmented nature of available funding. Method: We conducted a scoping review that assessed the current state of evidence on EBP financing strategies for behavioral health based on recent literature (i.e., post-Affordable Care Act). We defined financing strategies as techniques that secure and direct financial resources to support EBP implementation. This article introduces a conceptualization of financing strategies and then presents a compilation of identified strategies, following established reporting guidelines for the implementation strategies. We also describe the reported level of use for each financing strategy in the research literature. Results: Of 23 financing strategies, 13 were reported as being used within behavioral health services, 4 had potential for use, 5 had conceptual use only, and 1 was potentially contraindicated. Examples of strategies reported being used include increased fee-for-service reimbursement, grants, cost sharing, and pay-for-success contracts. No strategies had been evaluated in ways that allowed for strong conclusions about their impact on EBP implementation outcomes. Conclusion: The existing literature on EBP financing strategies in behavioral health raises far more questions than answers. Therefore, we propose a research agenda that will help better understand these financing strategies. We also discuss the implications of our findings for behavioral health professionals, system leaders, and policymakers who want to develop robust, sustainable financing for EBP implementation in behavioral health systems. Plain language abstract: Organizations that treat behavioral health problems (mental health and substance use) often seek to adopt and use evidence-based practices (EBPs). A challenge to adopting EBPs broadly is the limited funding available, often from various sources that are poorly coordinated with one another. To help organizations plan effectively to adopt EBPs, we conducted a review of recent evidence (i.e., since the passage of the 2010 Affordable Care Act) on strategies for financing EBP adoption in behavioral health systems. We present definitions of 23 identified strategies and describe each strategy’s reported (in the research literature) level of use to fund EBP adoption in behavioral health services. Of the 23 financing strategies, 13 strategies had evidence of use, 4 had potential for use, 5 had conceptual use only, and 1 was potentially contraindicated. Examples of strategies with evidence of use include increased fee-for-service reimbursement, grants, cost sharing, and pay-for-success contracts. This comprehensive list of EBP financing strategies may help guide decision-making by behavioral health professionals, system leaders, and policymakers. The article also presents a research agenda for building on the current research literature by (1) advancing methods to evaluate financing strategies’ effects, (2) partnering with stakeholders and decision-makers to examine promising financing strategies, (3) focusing on strategies and service systems with the greatest needs, (4) improving methods to guide the selection of financing strategies, and (5) paying greater attention to sustainable long-term financing of EBPs.
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Affiliation(s)
- Alex R Dopp
- Department of Behavioral and Policy Sciences, RAND Corporation, Santa Monica, CA, USA
| | - Marie-Rachelle Narcisse
- Department of Community Health and Research, University of Arkansas for Medical Sciences, Fayetteville, AR, USA
| | - Peter Mundey
- Department of Social and Behavioral Sciences, Savannah State University, Savannah, GA, USA
| | - Jane F Silovsky
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Allison B Smith
- Department of Psychological Science, University of Arkansas, Fayetteville, AR, USA
| | - David Mandell
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Beverly W Funderburk
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Byron J Powell
- Brown School, Washington University in St. Louis, Saint Louis, MO, USA
| | - Susan Schmidt
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | | | - Douglas Luke
- Brown School, Washington University in St. Louis, Saint Louis, MO, USA
| | - Peter Mendel
- Department of Economics, Sociology, and Statistics, RAND Corporation, Santa Monica, CA, USA
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24
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Lushin V, Marcus S, Gaston D, Beidas R, Lamson A, Goy I, Godina I, Rees J, Rivera R, Mandell D. The role of staffing and classroom characteristics on preschool teachers' use of one-to-one intervention with children with autism. Autism 2020; 24:2035-2045. [PMID: 32627579 DOI: 10.1177/1362361320932726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
LAY ABSTRACT For preschool children with autism, individual (one-to-one) behavioral interventions are among the best-tested treatments. However, they are rarely used in special education preschools. We observed formally and informally delivered one-to-one behavioral interventions use by classroom staff (n = 51) in 12 classrooms across three special education preschools for children with autism, aged 3-6 years, in a major US city. We estimated the associations between one-to-one intervention use and classroom characteristics including staff-student ratio, professional role composition, and frequency of challenging child behaviors. As a whole, the factors we examined were considerably important for both formally and informally delivered one-to-one interventions. The number of individually assigned personal care aides in the classroom was negatively associated with the use of formally delivered one-to-one intervention. Classroom challenging behavior was positively associated with use of formally delivered one-to-one interventions. Interventionist's professional roles and the number of children in the class were most important for the use of informally delivered interventions. Staff training, clarifying professional roles, setting performance expectations for personal care aides and other classroom team members, and reducing class size may represent promising implementation targets. Findings suggest caution around task-shifting policies that transfer clinical functions from more highly trained to less highly trained staff.
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Cidav Z, Mandell D, Pyne J, Beidas R, Curran G, Marcus S. A pragmatic method for costing implementation strategies using time-driven activity-based costing. Implement Sci 2020; 15:28. [PMID: 32370752 PMCID: PMC7201568 DOI: 10.1186/s13012-020-00993-1] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 04/16/2020] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Implementation strategies increase the adoption of evidence-based practices, but they require resources. Although information about implementation costs is critical for decision-makers with budget constraints, cost information is not typically reported in the literature. This is at least partly due to a need for clearly defined, standardized costing methods that can be integrated into implementation effectiveness evaluation efforts. METHODS We present a pragmatic approach to systematically estimating detailed, specific resource use and costs of implementation strategies that combine time-driven activity-based costing (TDABC), a business accounting method based on process mapping and known for its practicality, with a leading implementation science framework developed by Proctor and colleagues, which guides specification and reporting of implementation strategies. We illustrate the application of this method using a case study with synthetic data. RESULTS This step-by-step method produces a clear map of the implementation process by specifying the names, actions, actors, and temporality of each implementation strategy; determining the frequency and duration of each action associated with individual strategies; and assigning a dollar value to the resources that each action consumes. The method provides transparent and granular cost estimation, allowing a cost comparison of different implementation strategies. The resulting data allow researchers and stakeholders to understand how specific components of an implementation strategy influence its overall cost. CONCLUSION TDABC can serve as a pragmatic method for estimating resource use and costs associated with distinct implementation strategies and their individual components. Our use of the Proctor framework for the process mapping stage of the TDABC provides a way to incorporate cost estimation into implementation evaluation and may reduce the burden associated with economic evaluations in implementation science.
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Affiliation(s)
- Zuleyha Cidav
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
| | - David Mandell
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey Pyne
- Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA
- South Central Mental Illness Research, Education and Clinical Center, Central Arkansas, Little Rock, USA
- Veterans Healthcare System, North Little Rock, AR, USA
- Division of Health Services Research, Department of Psychiatry, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Rinad Beidas
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Implementation Science Center, Leonard Davis Institute of Health Economics, Philadelphia, USA
| | - Geoffrey Curran
- Departments of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Center for Implementation Research, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Steven Marcus
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, USA
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Micheletti M, McCracken C, Constantino J, Mandell D, Jones W, Klin A. Research Review: Outcomes of 24- to 36-month-old children with autism spectrum disorder vary by ascertainment strategy: a systematic review and meta-analysis. J Child Psychol Psychiatry 2020; 61:4-17. [PMID: 31032937 PMCID: PMC6819204 DOI: 10.1111/jcpp.13057] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/25/2019] [Indexed: 11/27/2022]
Abstract
BACKGROUND Despite widespread recommendations for early surveillance of risk for autism spectrum disorder (ASD), no research to date has shown that early surveillance leads to better clinical outcomes. Preliminary research has suggested that children with ASD ascertained via prospective follow-up have better outcomes than those ascertained via community referral. Because prospective studies include early surveillance, by comparing outcomes of children with ASD across ascertainment strategies, we may gain insight into the effects of early surveillance relative to its absence. METHODS A systematic review was conducted to identify studies reporting outcomes of 24- to 36-month-olds with ASD ascertained via prospective follow-up, community referral, or universal screening. A meta-analysis using a random effects model was used to calculate overall effect size estimates for developmental level and symptom severity across ascertainment cohorts. RESULTS Eleven prospective, ten community referral, and eight universal screening studies were identified, reporting on 1,658 toddlers with ASD. We found no differences in outcomes between community referral and universal screening studies. Relative to both, prospective studies reported significantly higher developmental levels and lower symptom severities. CONCLUSIONS Outcomes of young children with ASD ascertained via prospective follow-up are better than those of children with ASD recruited via community referral or universal screening. Although we discuss why sampling bias is not likely the driving force behind these findings, we cannot rule out the possibility that sampling bias contributes to the observed differences; future studies should probe the effects of sociodemographic variables on clinical outcomes as a function of ascertainment strategy. This limitation notwithstanding, our results raise the possibility that prospective follow-up may confer a 'surveillance effect' that contributes to improved developmental and diagnostic outcomes in children with ASD. Future research should test this hypothesis and determine the specific mechanism by which surveillance may improve outcomes.
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Affiliation(s)
- Megan Micheletti
- Marcus Autism Center, Atlanta, GA,Children’s Healthcare of Atlanta, Atlanta, GA,Department of Pediatrics, Emory University School of Medicine, Atlanta, GA
| | - Courtney McCracken
- Children’s Healthcare of Atlanta, Atlanta, GA,Department of Pediatrics, Emory University School of Medicine, Atlanta, GA
| | - John Constantino
- Departments of Psychiatry and Pediatrics, and Intellectual and Developmental Disabilities Research Center, Washington University, St Louis, MO
| | - David Mandell
- Center for Mental Health Policy and Services Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Warren Jones
- Marcus Autism Center, Atlanta, GA,Children’s Healthcare of Atlanta, Atlanta, GA,Department of Pediatrics, Emory University School of Medicine, Atlanta, GA,Emory Center for Translational Social Neuroscience, Atlanta, GA, USA
| | - Ami Klin
- Marcus Autism Center, Atlanta, GA,Children’s Healthcare of Atlanta, Atlanta, GA,Department of Pediatrics, Emory University School of Medicine, Atlanta, GA,Emory Center for Translational Social Neuroscience, Atlanta, GA, USA
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Lushin V, Mandell D, Beidas R, Marcus S, Nuske H, Kaploun V, Seidman M, Gaston D, Locke J. Trajectories of Evidence Based Treatment for School Children with Autism: What's the Right Level for the Implementation? J Autism Dev Disord 2019; 50:881-892. [PMID: 31797182 DOI: 10.1007/s10803-019-04304-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Evidence-based practices (EBP) for children with autism are under-used in special-education schools. No research compared child-level versus teacher-level influences on EBP use, which could guide implementation strategies. We derived longitudinal profiles of EBP receipt by children (N = 234) in 69 autism-support classrooms, over an academic year. We compared overall impacts of child-level and teacher-level factors on profile membership. Most children received little EBP throughout the year; however substantial subgroups received increasing, and decreasing, doses of EBP. Child-level and teacher-level factors contributed about equally to profile membership. Children's autism symptoms and verbal ability, teachers' EBP skills, training/experience, classroom support, class size, and implementation leadership climate predicted profile membership. Early identification of treatment profiles could facilitate targeted implementation strategies increasing EBP use.
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Affiliation(s)
- Victor Lushin
- Long Island University, Brooklyn, NY, USA. .,Long Island University Brooklyn, School of Health Professions, 1 University Plaza, Room 246, Brooklyn, NY, 11201, USA.
| | | | - Rinad Beidas
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Victor Kaploun
- National Research University Higher School of Economics, St. Petersburg, Russia
| | - Max Seidman
- University of Pennsylvania, Philadelphia, PA, USA
| | | | - Jill Locke
- University of Washington, Seattle, WA, USA
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28
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Shea LL, Xie M, Turcotte P, Marcus S, Field R, Newschaffer C, Mandell D. Brief Report: Service Use and Associated Expenditures Among Adolescents with Autism Spectrum Disorder Transitioning to Adulthood. J Autism Dev Disord 2019; 48:3223-3227. [PMID: 29627932 DOI: 10.1007/s10803-018-3563-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
This study compared Medicaid service utilization and expenditures among adolescents with autism spectrum disorder (ASD) to adolescents with intellectual disability (ID) as they aged into adulthood. Medicaid Analytic eXtract (MAX) data was used to identify a national cohort. Winsorization was utilized to control for expenditure outliers. A greater proportion of adolescents with ASD utilized most services. Decreases in the use of key services, including psychiatric outpatient services, were observed for both groups. Changes in medical services, such as increases in inpatient and long term care services, among the ASD cohort suggest medical needs of adolescents with ASD change as they age. Information remains lacking on changing ASD symptom presentation during the transition to adolescence.
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Affiliation(s)
- Lindsay L Shea
- A.J. Drexel Autism Institute, Drexel University, 3020 Market St., Suite 560, Philadelphia, PA, 19104, USA.
| | - Ming Xie
- Center for Mental Health Policy and Services Research, Perelman School of Medicine, University of Pennsylvania, 3535 Market St., 3rd Floor, Philadelphia, PA, 19104, USA
| | - Paul Turcotte
- A.J. Drexel Autism Institute, Drexel University, 3020 Market St., Suite 560, Philadelphia, PA, 19104, USA
| | - Steven Marcus
- Center for Mental Health Policy and Services Research, Perelman School of Medicine, University of Pennsylvania, 3535 Market St., 3rd Floor, Philadelphia, PA, 19104, USA
| | - Robert Field
- Dornsife School of Public Health, Kline School of Law, Drexel University, 3320 Market St., Philadelphia, PA, 19104, USA
| | - Craig Newschaffer
- A.J. Drexel Autism Institute, Drexel University, 3020 Market St., Suite 560, Philadelphia, PA, 19104, USA
| | - David Mandell
- Center for Mental Health Policy and Services Research, Perelman School of Medicine, University of Pennsylvania, 3535 Market St., 3rd Floor, Philadelphia, PA, 19104, USA
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Stahmer AC, Vejnoska S, Iadarola S, Straiton D, Segovia FR, Luelmo P, Morgan EH, Lee HS, Javed A, Bronstein B, Hochheimer S, Cho E, Aranbarri A, Mandell D, Hassrick EM, Smith T, Kasari C. Caregiver Voices: Cross-Cultural Input on Improving Access to Autism Services. J Racial Ethn Health Disparities 2019; 6:752-773. [PMID: 30859514 PMCID: PMC6936957 DOI: 10.1007/s40615-019-00575-y] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 01/17/2019] [Accepted: 02/12/2019] [Indexed: 01/16/2023]
Abstract
Decades of research have established that racial ethnic minority, low-income, and/or non-English speaking children with autism spectrum disorder (ASD) are diagnosed later than white children, and their families experience greater difficulty accessing services in the USA. Delayed access to timely diagnosis and early intervention may impact child outcomes and family quality of life. Despite their cognition of these disparities and their significant impact on the lives of those affected, explanations for the barriers experienced by underserved families are elusive, likely due to the complex interaction between structural and family factors. This study used qualitative methods to gather family and provider perspectives of perceived barriers and facilitators to obtaining an ASD diagnosis and accessing ASD-related services for underserved families. Themes from focus groups and interviews with families from three cultural groups (black, Hispanic/Latino, and Korean) and three primary languages (English, Korean, and Spanish) highlight specific barriers related to family, community, and systemic challenges as well as facilitators to accessing care for these populations. Family experiences are expanded upon with viewpoints from the providers who work with them. Recommendations are made for reducing disparities in the existing ASD service system including increasing professional, family, and community education; increasing culturally responsive care; improving provider-family partnerships; and addressing practical challenges to service access.
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Affiliation(s)
- Aubyn C Stahmer
- Departments of Psychiatry, Psychology & Human Development, University of California, Davis MIND Institute, 2825 50th St, Sacramento, CA, 95817, USA.
| | - Sarah Vejnoska
- Departments of Psychiatry, Psychology & Human Development, University of California, Davis MIND Institute, 2825 50th St, Sacramento, CA, 95817, USA
| | - Suzannah Iadarola
- Division of Developmental and Behavioral Pediatrics & Strong Center for Developmental Disabilities, University of Rochester Medical Center, 265 Crittenden Blvd., Rochester, NY, 14642, USA
| | - Diondra Straiton
- Perelman School of Medicine, Center for Mental Health Policy and Services Research, University of Pennsylvania, 3535 Market St., Rm. 3100, Philadelphia, PA, 19104, USA
- Department of Psychology, Michigan State University, 316 Physics, Rd., East Lansing, MI, 48824, USA
| | - Francisco Reinosa Segovia
- Department of Psychiatry, University of California, Los Angeles Graduate School of Education & Information Studies & Center for Autism Research & Treatment, UCLA Semel Institute 68-268, Los Angeles, CA, 90024, USA
| | - Paul Luelmo
- Department of Psychiatry, University of California, Los Angeles Graduate School of Education & Information Studies & Center for Autism Research & Treatment, UCLA Semel Institute 68-268, Los Angeles, CA, 90024, USA
- Department of Special Education, San Diego State University, 5500 Campanile Dr., San Diego, CA, 92182, USA
| | - Elizabeth H Morgan
- Departments of Psychiatry, Psychology & Human Development, University of California, Davis MIND Institute, 2825 50th St, Sacramento, CA, 95817, USA
| | - Hyon Soo Lee
- Department of Psychiatry, University of California, Los Angeles Graduate School of Education & Information Studies & Center for Autism Research & Treatment, UCLA Semel Institute 68-268, Los Angeles, CA, 90024, USA
| | - Asim Javed
- Division of Developmental and Behavioral Pediatrics & Strong Center for Developmental Disabilities, University of Rochester Medical Center, 265 Crittenden Blvd., Rochester, NY, 14642, USA
| | - Briana Bronstein
- Perelman School of Medicine, Center for Mental Health Policy and Services Research, University of Pennsylvania, 3535 Market St., Rm. 3100, Philadelphia, PA, 19104, USA
| | - Samantha Hochheimer
- Division of Developmental and Behavioral Pediatrics & Strong Center for Developmental Disabilities, University of Rochester Medical Center, 265 Crittenden Blvd., Rochester, NY, 14642, USA
| | - EunMi Cho
- College of Education, California State University, Sacramento, 6000 J St., Sacramento, CA, 95819, USA
| | - Aritz Aranbarri
- Departments of Psychiatry, Psychology & Human Development, University of California, Davis MIND Institute, 2825 50th St, Sacramento, CA, 95817, USA
- Mental Health Department, Sant Juan de Deu Barcelona Children's Hospital, Itaka Building 1st floor, Passeig Sant Joan de Déu 2, 08950 Esplugues de Llobregat, Barcelona, Catalonia, Spain
| | - David Mandell
- Perelman School of Medicine, Center for Mental Health Policy and Services Research, University of Pennsylvania, 3535 Market St., Rm. 3100, Philadelphia, PA, 19104, USA
| | - Elizabeth McGhee Hassrick
- A.J. Drexel Autism Institute, Drexel University, 3020 Market Street | Suite 560, Philadelphia, PA, 19104, USA
| | - Tristram Smith
- Division of Developmental and Behavioral Pediatrics & Strong Center for Developmental Disabilities, University of Rochester Medical Center, 265 Crittenden Blvd., Rochester, NY, 14642, USA
| | - Connie Kasari
- Department of Psychiatry, University of California, Los Angeles Graduate School of Education & Information Studies & Center for Autism Research & Treatment, UCLA Semel Institute 68-268, Los Angeles, CA, 90024, USA
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Barry CL, Kennedy-Hendricks A, Mandell D, Epstein AJ, Candon M, Eisenberg M. State Mandate Laws for Autism Coverage and High-Deductible Health Plans. Pediatrics 2019; 143:e20182391. [PMID: 31092588 PMCID: PMC6564055 DOI: 10.1542/peds.2018-2391] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/01/2019] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES Most states have passed insurance mandates requiring health plans to cover services for children with autism spectrum disorder (ASD). Research reveals that these mandates increased treated prevalence, service use, and spending on ASD-related care. As employer-sponsored insurance shifts toward high-deductible health plans (HDHPs), it is important to understand how mandates affect children with ASD in HDHPs relative to traditional, low-deductible plans. METHODS Insurance claims for 2008-2012 for children covered by 3 large US insurers (United Healthcare, Aetna, and Humana) available through the Health Care Cost Institute were used to compare the effects of mandates on ASD-related spending for children in HDHPs and traditional health plans. RESULTS Relative to children in traditional plans, mandates were associated with higher average monthly spending increases for children in HDHPs. Mandate-attributable spending differences between children enrolled in HDHPs relative to traditional plans were $77 for ASD-specific services (95% confidence interval [CI]: $10 to $144), $125 for outpatient health services (95% CI: $26 to $223), and $144 for all health services (95% CI: $36 to $253). These spending differentials were driven by differences in plan spending and not out-of-pocket (OOP) spending. CONCLUSIONS Spending on ASD-related services attributable to autism mandates was higher among children in HDHPs, but higher spending did not translate into a greater OOP burden. For families with consistently high health care expenditures on ASD-related services, high-deductible products may be worth considering in the context of mandate laws. Families in mandate states with children with ASD enrolled in HDHPs were able to increase service use without paying more OOP.
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Affiliation(s)
- Colleen L Barry
- Department of Health Policy and Management, Johns Hopkins University, Baltimore, Maryland;
- Johns Hopkins Center for Mental Health and Addiction Policy Research, Baltimore, Maryland
- Leonard Davis Institute of Health Economics and
| | - Alene Kennedy-Hendricks
- Department of Health Policy and Management, Johns Hopkins University, Baltimore, Maryland
- Johns Hopkins Center for Mental Health and Addiction Policy Research, Baltimore, Maryland
| | - David Mandell
- Leonard Davis Institute of Health Economics and
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and
| | | | - Molly Candon
- Leonard Davis Institute of Health Economics and
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and
| | - Matthew Eisenberg
- Department of Health Policy and Management, Johns Hopkins University, Baltimore, Maryland
- Johns Hopkins Center for Mental Health and Addiction Policy Research, Baltimore, Maryland
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Flitter AS, Lubitz SF, Ziedonis D, Stevens N, Leone FT, Mandell D, Kimberly J, Lopez O, Beidas RS, Schnoll RA. A Cluster-Randomized Clinical Trial Testing the Effectiveness of the Addressing Tobacco Through Organizational Change Model for Improving the Treatment of Tobacco Use in Community Mental Health Care: Preliminary Study Feasibility and Baseline Findings. Nicotine Tob Res 2019; 21:559-567. [PMID: 30388273 PMCID: PMC6468132 DOI: 10.1093/ntr/nty239] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 10/31/2018] [Indexed: 01/07/2023]
Abstract
INTRODUCTION People with mental illness are more likely to smoke and less likely to receive tobacco treatment than the general population. The Addressing Tobacco Through Organizational Change (ATTOC) approach supports organizational change to increase tobacco treatment in this population. We describe preliminary study feasibility and baseline behaviors and attitudes among clients and staff regarding tobacco treatment, and assesse correlates of treatment of smoking. METHODS Preliminary accrual, engagement, and baseline data are reported from a cluster-randomized trial comparing ATTOC to usual care. Feasibility, thus far, was the rate of site and participant accrual and engagement (eg, participants remaining in the trial). Correlates of assessing smoking, advising cessation, and providing treatment were assessed. RESULTS Site and participant accrual is 80% (8/10) and 86% (456/533), and engagement is 100% and 82%. "Staff asking about smoking" was reported by 63% of clients and 38% of staff; "staff advising cessation" was reported by 57% of clients and 46% of staff; staff report "assisting clients with any medication" at most 22% of the time, whereas at most 18% of clients report receiving a cessation medication; 59% of clients want tobacco treatment, but 36% of staff think that it is part of their job. "Staff assisting with medications" is related to more training, believing treating smoking is part of their job, and believing patients are concerned about smoking (ps < .05). CONCLUSIONS This trial of training in tobacco treatment within mental health care is feasible thus far; self-reported rates of tobacco treatment are low and associated with clinician attitudes and barriers. IMPLICATIONS Evaluation of ways to help address tobacco use treatment in community mental health care is feasible and needed, including the use of technical assistance and training guided by an organizational change approach.
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Affiliation(s)
- Alex S Flitter
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Su Fen Lubitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Douglas Ziedonis
- Department of Psychiatry, University of California, San Diego, CA
| | - Nathaniel Stevens
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Frank T Leone
- Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia, PA
| | - David Mandell
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - John Kimberly
- Wharton School of Business, University of Pennsylvania, Philadelphia, PA
| | - Oscar Lopez
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Rinad S Beidas
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
- Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA
| | - Robert A Schnoll
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
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Shea LL, Field R, Xie M, Marcus S, Newschaffer C, Mandell D. Transition-Age Medicaid Coverage for Adolescents With Autism and Adolescents With Intellectual Disability. Am J Intellect Dev Disabil 2019; 124:174-185. [PMID: 30835524 PMCID: PMC10726726 DOI: 10.1352/1944-7558-124.2.174] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Although the majority of adolescents with autism spectrum disorder (ASD) rely on healthcare coverage through Medicaid during their transition into adulthood, little is known about their continuing eligibility. This study used Medicaid Analytic Extract (MAX) data to examine Medicaid coverage in a national sample using a cohort of adolescents with ASD ( n = 4,179) and a like-aged cohort with intellectual disability (ID, n = 21,844) over 5 years using survival analysis and Cox regression models. More than 1 in 4 adolescents with ASD lost coverage and fewer than half subsequently regained it. They were more likely to disenroll than adolescents with ID. Similarities in overall patterns among the 2 groups suggest that the experience of adolescents with ASD was characteristic of more general aspects of behavioral health coverage and indicate the need for programmatic reforms.
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Affiliation(s)
- Lindsay L Shea
- Lindsay L. Shea and Robert Field, Drexel University; Ming Xie and Steven Marcus, University of Pennsylvania; Craig Newschaffer, Drexel University; and David Mandell, University of Pennsylvania
| | - Robert Field
- Lindsay L. Shea and Robert Field, Drexel University; Ming Xie and Steven Marcus, University of Pennsylvania; Craig Newschaffer, Drexel University; and David Mandell, University of Pennsylvania
| | - Ming Xie
- Lindsay L. Shea and Robert Field, Drexel University; Ming Xie and Steven Marcus, University of Pennsylvania; Craig Newschaffer, Drexel University; and David Mandell, University of Pennsylvania
| | - Steven Marcus
- Lindsay L. Shea and Robert Field, Drexel University; Ming Xie and Steven Marcus, University of Pennsylvania; Craig Newschaffer, Drexel University; and David Mandell, University of Pennsylvania
| | - Craig Newschaffer
- Lindsay L. Shea and Robert Field, Drexel University; Ming Xie and Steven Marcus, University of Pennsylvania; Craig Newschaffer, Drexel University; and David Mandell, University of Pennsylvania
| | - David Mandell
- Lindsay L. Shea and Robert Field, Drexel University; Ming Xie and Steven Marcus, University of Pennsylvania; Craig Newschaffer, Drexel University; and David Mandell, University of Pennsylvania
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Beidas RS, Volpp KG, Buttenheim AN, Marcus SC, Olfson M, Pellecchia M, Stewart RE, Williams NJ, Becker-Haimes EM, Candon M, Cidav Z, Fishman J, Lieberman A, Zentgraf K, Mandell D. Transforming Mental Health Delivery Through Behavioral Economics and Implementation Science: Protocol for Three Exploratory Projects. JMIR Res Protoc 2019; 8:e12121. [PMID: 30747719 PMCID: PMC6390186 DOI: 10.2196/12121] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 10/19/2018] [Accepted: 10/20/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Efficacious psychiatric treatments are not consistently deployed in community practice, and clinical outcomes are attenuated compared with those achieved in clinical trials. A major focus for mental health services research is to develop effective and cost-effective strategies that increase the use of evidence-based assessment, prevention, and treatment approaches in community settings. OBJECTIVE The goal of this program of research is to apply insights from behavioral economics and participatory design to advance the science and practice of implementing evidence-based practice (EBP) for individuals with psychiatric disorders across the life span. METHODS Project 1 (Assisting Depressed Adults in Primary care Treatment [ADAPT]) is patient-focused and leverages decision-making heuristics to compare ways to incentivize adherence to antidepressant medications in the first 6 weeks of treatment among adults newly diagnosed with depression. Project 2 (App for Strengthening Services In Specialized Therapeutic Support [ASSISTS]) is provider-focused and utilizes normative pressure and social status to increase data collection among community mental health workers treating children with autism. Project 3 (Motivating Outpatient Therapists to Implement: Valuing a Team Effort [MOTIVATE]) explores how participatory design can be used to design organizational-level implementation strategies to increase clinician use of EBPs. The projects are supported by a Methods Core that provides expertise in implementation science, behavioral economics, participatory design, measurement, and associated statistical approaches. RESULTS Enrollment for project ADAPT started in 2018; results are expected in 2020. Enrollment for project ASSISTS will begin in 2019; results are expected in 2021. Enrollment for project MOTIVATE started in 2018; results are expected in 2019. Data collection had begun for ADAPT and MOTIVATE when this protocol was submitted. CONCLUSIONS This research will advance the science of implementation through efforts to improve implementation strategy design, measurement, and statistical methods. First, we will test and refine approaches to collaboratively design implementation strategies with stakeholders (eg, discrete choice experiments and innovation tournaments). Second, we will refine the measurement of mechanisms related to heuristics used in decision making. Third, we will develop new ways to test mechanisms in multilevel implementation trials. This trifecta, coupled with findings from our 3 exploratory projects, will lead to improvements in our knowledge of what causes successful implementation, what variables moderate and mediate the effects of those causal factors, and how best to leverage this knowledge to increase the quality of care for people with psychiatric disorders. TRIAL REGISTRATION ClinicalTrials.gov NCT03441399; https://www.clinicaltrials.gov/ct2/show/NCT03441399 (Archived by WebCite at http://www.webcitation.org/74dRbonBD). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/12121.
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Affiliation(s)
- Rinad S Beidas
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States
| | - Kevin G Volpp
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States.,Center for Health Incentives and Behavioral Economics, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States.,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Department of Health Care Management, The Wharton School, University of Pennsylvania, Philadelphia, PA, United States.,Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, United States.,Crescenz VA Medical Center, Philadelphia, PA, United States
| | - Alison N Buttenheim
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States.,Center for Health Incentives and Behavioral Economics, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States.,Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - Steven C Marcus
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, United States
| | - Mark Olfson
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, United States
| | - Melanie Pellecchia
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Rebecca E Stewart
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States
| | | | - Emily M Becker-Haimes
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Molly Candon
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States
| | - Zuleyha Cidav
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States
| | - Jessica Fishman
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Annenberg School for Communication, University of Pennyslvania, Philadelphia, PA, United States
| | - Adina Lieberman
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Kelly Zentgraf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David Mandell
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Broder-Fingert S, Walls M, Augustyn M, Beidas R, Mandell D, Wiltsey-Stirman S, Silverstein M, Feinberg E. A hybrid type I randomized effectiveness-implementation trial of patient navigation to improve access to services for children with autism spectrum disorder. BMC Psychiatry 2018; 18:79. [PMID: 29587698 PMCID: PMC5870193 DOI: 10.1186/s12888-018-1661-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 03/12/2018] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Significant racial, ethnic, and socioeconomic disparities exist in access to evidence-based treatment services for children with autism spectrum disorder (ASD). Patient Navigation (PN) is a theory-based care management strategy designed to reduce disparities in access to care. The purpose of this study is to test the effectiveness of PN a strategy to reduce disparities in access to evidence-based services for vulnerable children with ASD, as well as to explore factors that impact implementation. METHODS This study uses a hybrid type I randomized effectiveness/implementation design to test effectiveness and collect data on implementation concurrently. It is a two-arm comparative effectiveness trial with a target of 125 participants per arm. Participants are families of children age 15-27 months who receive a positive screen for ASD at a primary care visit at urban clinics in Massachusetts (n = 6 clinics), Connecticut (n = 1), and Pennsylvania (n = 2). The trial measures diagnostic interval (number of days from positive screen to diagnostic determination) and time to receipt of evidence-based ASD services/recommended services (number of days from date of diagnosis to receipt of services) in those with PN compared to and activated control -Conventional Care Management - which is similar to care management received in a high quality medical home. At the same time, a mixed-method implementation evaluation is being carried out. DISCUSSION This study will examine the effectiveness of PN to reduce the time to and receipt of evidence-based services for vulnerable children with ASD, as well as factors that influence implementation. Findings will tell us both if PN is an effective approach for improving access to evidence-based care for children with ASD, and inform future strategies for dissemination. TRIAL REGISTRATION NCT02359084 Registered February 1, 2015.
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Affiliation(s)
- Sarabeth Broder-Fingert
- Department of Pediatrics, Boston University School of Medicine, Boston, MA, 02114, USA. .,Division of General Pediatrics, Boston University School of Medicine, 850 Harrison Ave, Room 310A, Boston, MA, 02118, USA.
| | - Morgan Walls
- 0000 0004 0367 5222grid.475010.7Department of Pediatrics, Boston University School of Medicine, Boston, MA 02114 USA
| | - Marilyn Augustyn
- 0000 0004 0367 5222grid.475010.7Division of Developmental and Behavioral Pediatrics, Boston University School of Medicine, Boston, MA 02114 USA
| | - Rinad Beidas
- 0000 0004 1936 8972grid.25879.31Center for Mental Health Policy and Services Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - David Mandell
- 0000 0004 1936 8972grid.25879.31Center for Mental Health Policy and Services Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | | | - Michael Silverstein
- 0000 0004 0367 5222grid.475010.7Department of Pediatrics, Boston University School of Medicine, Boston, MA 02114 USA
| | - Emily Feinberg
- 0000 0004 0367 5222grid.475010.7Department of Pediatrics, Boston University School of Medicine, Boston, MA 02114 USA ,0000 0004 1936 7558grid.189504.1Department of Community Health Sciences, Boston University School of Public Health, Boston, MA 02114 USA
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Vivanti G, Kasari C, Green J, Mandell D, Maye M, Hudry K. Implementing and evaluating early intervention for children with autism: Where are the gaps and what should we do? Autism Res 2017; 11:16-23. [DOI: 10.1002/aur.1900] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 10/09/2017] [Accepted: 11/14/2017] [Indexed: 01/27/2023]
Affiliation(s)
- Giacomo Vivanti
- A.J. Drexel Autism Institute, Drexel University; Philadelphia PA
| | - Connie Kasari
- Center for Autism Research and Treatment, UCLA; Los Angeles CA
| | | | - David Mandell
- Center for Mental Health Policy and Services Research, University of Pennsylvania; Philadelphia PA
| | | | - Kristelle Hudry
- Victorian Autism Specific Early Learning and Care Centre; and Olga Tennison Autism Research Centre, La Trobe University; Melbourne Australia
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Beidas R, Skriner L, Adams D, Wolk CB, Stewart RE, Becker-Haimes E, Williams N, Maddox B, Rubin R, Weaver S, Evans A, Mandell D, Marcus SC. The relationship between consumer, clinician, and organizational characteristics and use of evidence-based and non-evidence-based therapy strategies in a public mental health system. Behav Res Ther 2017; 99:1-10. [PMID: 28865284 DOI: 10.1016/j.brat.2017.08.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 07/15/2017] [Accepted: 08/21/2017] [Indexed: 11/30/2022]
Abstract
We investigated the relationship between consumer, clinician, and organizational factors and clinician use of therapy strategies within a system-wide effort to increase the use of cognitive-behavioral therapy. Data from 247 clinicians in 28 child-serving organizations were collected. Clinicians participating in evidence-based practice training initiatives were more likely to report using cognitive-behavioral therapy when they endorsed more clinical experience, being salaried clinicians, and more openness to evidence-based practice. Clinicians participating in evidence-based practice initiatives were more likely to use psychodynamic techniques when they had older clients, less knowledge about evidence-based practice, more divergent attitudes toward EBP, higher financial strain, and worked in larger organizations. In clinicians not participating in evidence-based training initiatives; depersonalization was associated with higher use of cognitive-behavioral; whereas clinicians with less knowledge of evidence-based practices were more likely to use psychodynamic techniques. This study suggests that clinician characteristics are important when implementing evidence-based practices; and that consumer, clinician, and organizational characteristics are important when de-implementing non evidence-based practices. This work posits potential characteristics at multiple levels to target with implementation and deimplementation strategies.
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Affiliation(s)
- Rinad Beidas
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA.
| | - Laura Skriner
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA; Department of Psychiatry, Weill Cornell Medicine, New York-Presbyterian Hospital, 21 Bloomingdale Road, White Plains, NY 10605, USA.
| | - Danielle Adams
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA; School of Social Service Administration, The University of Chicago, 969 East 60th Street, Chicago, IL 60637, USA.
| | - Courtney Benjamin Wolk
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA.
| | - Rebecca E Stewart
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA.
| | - Emily Becker-Haimes
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA.
| | - Nathaniel Williams
- School of Social Work, Boise State University, 1910 University Drive, Boise, ID 83642, USA.
| | - Brenna Maddox
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA.
| | - Ronnie Rubin
- Department of Behavioral Health and Intellectual DisAbility Services, 801 Market St #7000, Philadelphia, PA 19107, USA.
| | - Shawna Weaver
- Department of Behavioral Health and Intellectual DisAbility Services, 801 Market St #7000, Philadelphia, PA 19107, USA.
| | - Arthur Evans
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA; Department of Behavioral Health and Intellectual DisAbility Services, 801 Market St #7000, Philadelphia, PA 19107, USA.
| | - David Mandell
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Philadelphia, PA 19104, USA.
| | - Steven C Marcus
- School of Social Policy and Practice, University of Pennsylvania, 3701 Locust Walk, Philadelphia, PA 19104, USA.
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Iadarola S, Shih W, Dean M, Blanch E, Harwood R, Hetherington S, Mandell D, Kasari C, Smith T. Implementing a Manualized, Classroom Transition Intervention for Students With ASD in Underresourced Schools. Behav Modif 2017; 42:126-147. [PMID: 28675941 DOI: 10.1177/0145445517711437] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Children with autism spectrum disorder (ASD) in public education settings experience difficulties with transitions during classroom routines, which can result in challenging behavior. Single-subject research supports techniques for transitions, but school-based approaches often require resources and training unavailable in low-resource districts, limiting implementation. We developed and evaluated the Schedules, Tools, and Activities for Transitions (STAT) program, a short-term, manualized intervention of behavioral supports to support daily routine transitions for students with ASD (K-5) in underresourced districts. We utilized a multisite, cluster-randomized, group comparison design (immediate treatment versus waitlist) with matched pairs ( n = 150 students, 57 educators). Data indicated (a) no group differences for academic engagement or classroom independence, and (b) an advantage for STAT in reducing challenging behavior and increasing teacher fidelity. Results show preliminary support for an intervention that is feasible and perceived as sustainable in real-world settings.
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Affiliation(s)
| | - Wendy Shih
- 2 University of California, Los Angeles, CA, USA
| | - Michelle Dean
- 3 California State University Channel Islands, Camarillo, CA, USA
| | - Erica Blanch
- 4 University of Pennsylvania, Philadelphia, PA, USA
| | - Robin Harwood
- 5 Maternal and Child Health Bureau, Health Resources and Services Administration, Rockville, MD, USA
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Abstract
There is a paucity of literature examining the relationship between executive and social functioning in children with autism spectrum disorder (ASD). Twenty-three school-aged children with ASD participated. Executive functioning was measured using the Developmental Neuropsychological Assessment, Second Edition and Differential Ability Scales, Second Edition, and the teacher-rated Behavior Rating of Inventory of Executive Function. Independent assessors observed children's social functioning on the playground while children with ASD and their peers completed a survey to measure peer friendships and rejections. Overall, poorer executive functioning was associated with increased playground isolation and less engagement with peers. This suggests that metacognitive skills such as initiation, working memory, and planning and organization are associated with children's social functioning.
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Affiliation(s)
| | - Jill Locke
- University of Washington, Seattle, WA, USA.
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Locke J, Wolk CB, Harker C, Olsen A, Shingledecker T, Barg F, Mandell D, Beidas R. Pebbles, rocks, and boulders: The implementation of a school-based social engagement intervention for children with autism. Autism 2016; 21:985-994. [PMID: 28954537 DOI: 10.1177/1362361316664474] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Few evidence-based practices, defined as the use of empirically supported research and clinical expertise for children with autism, have been successfully implemented and sustained in schools. This study examined the perspectives of school personnel ( n = 39) on implementing a social engagement intervention for children with autism. Semi-structured interviews, informed by the Domitrovich et al. (2008) framework, were conducted. Participants were asked about (1) school factors that affect the general implementation of evidence-based practices, (2) their specific experiences implementing the social engagement intervention, and (3) barriers to and facilitators of implementing the social engagement intervention. Data were analyzed using an integrated approach. General (e.g. implementation process, leadership, support, and staff) and intervention-specific (e.g. staff, barriers, and facilitators) implementation themes were identified. These findings suggest that a variety of factors should be considered when implementing evidence-based practices in schools and that implementing social engagement interventions for children with autism may require additional specific support for implementation.
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Chambers D, Simpson L, Hill-Briggs F, Neta G, Vinson C, Chambers D, Beidas R, Marcus S, Aarons G, Hoagwood K, Schoenwald S, Evans A, Hurford M, Rubin R, Hadley T, Barg F, Walsh L, Adams D, Mandell D, Martin L, Mignogna J, Mott J, Hundt N, Kauth M, Kunik M, Naik A, Cully J, McGuire A, White D, Bartholomew T, McGrew J, Luther L, Rollins A, Salyers M, Cooper B, Funaiole A, Richards J, Lee A, Lapham G, Caldeiro R, Lozano P, Gildred T, Achtmeyer C, Ludman E, Addis M, Marx L, Bradley K, VanDeinse T, Wilson AB, Stacey B, Powell B, Bunger A, Cuddeback G, Barnett M, Stadnick N, Brookman-Frazee L, Lau A, Dorsey S, Pullmann M, Mitchell S, Schwartz R, Kirk A, Dusek K, Oros M, Hosler C, Gryczynski J, Barbosa C, Dunlap L, Lounsbury D, O’Grady K, Brown B, Damschroder L, Waltz T, Powell B, Ritchie M, Waltz T, Atkins D, Imel ZE, Xiao B, Can D, Georgiou P, Narayanan S, Berkel C, Gallo C, Sandler I, Brown CH, Wolchik S, Mauricio AM, Gallo C, Brown CH, Mehrotra S, Chandurkar D, Bora S, Das A, Tripathi A, Saggurti N, Raj A, Hughes E, Jacobs B, Kirkendall E, Loeb D, Trinkley K, Yang M, Sprowell A, Nease D, Lyon A, Lewis C, Boyd M, Melvin A, Nicodimos S, Liu F, Jungbluth N, Lyon A, Lewis C, Boyd M, Melvin A, Nicodimos S, Liu F, Jungbluth N, Flynn A, Landis-Lewis Z, Sales A, Baloh J, Ward M, Zhu X, Bennett I, Unutzer J, Mao J, Proctor E, Vredevoogd M, Chan YF, Williams N, Green P, Bernstein S, Rosner JM, DeWitt M, Tetrault J, Dziura J, Hsiao A, Sussman S, O’Connor P, Toll B, Jones M, Gassaway J, Tobin J, Zatzick D, Bradbury AR, Patrick-Miller L, Egleston B, Olopade OI, Hall MJ, Daly MB, Fleisher L, Grana G, Ganschow P, Fetzer D, Brandt A, Farengo-Clark D, Forman A, Gaber RS, Gulden C, Horte J, Long J, Chambers RL, Lucas T, Madaan S, Mattie K, McKenna D, Montgomery S, Nielsen S, Powers J, Rainey K, Rybak C, Savage M, Seelaus C, Stoll J, Stopfer J, Yao S, Domchek S, Hahn E, Munoz-Plaza C, Wang J, Delgadillo JG, Mittman B, Gould M, Liang S, Kegler MC, Cotter M, Phillips E, Hermstad A, Morton R, Beasley D, Martinez J, Riehman K, Gustafson D, Marsch L, Mares L, Quanbeck A, McTavish F, McDowell H, Brown R, Thomas C, Glass J, Isham J, Shah D, Liebschutz J, Lasser K, Watkins K, Ober A, Hunter S, Lamp K, Ewing B, Iwelunmor J, Gyamfi J, Blackstone S, Quakyi NK, Plange-Rhule J, Ogedegbe G, Kumar P, Van Devanter N, Nguyen N, Nguyen L, Nguyen T, Phuong N, Shelley D, Rudge S, Langlois E, Tricco A, Ball S, Lambert-Kerzner A, Sulc C, Simmons C, Shell-Boyd J, Oestreich T, O’Connor A, Neely E, McCreight M, Labebue A, DiFiore D, Brostow D, Ho PM, Aron D, Harvey J, McHugh M, Scanlon D, Lee R, Soltero E, Parker N, McNeill L, Ledoux T, McIsaac JL, MacLeod K, Ata N, Jarvis S, Kirk S, Purtle J, Dodson E, Brownson R, Mittman B, Curran G, Curran G, Pyne J, Aarons G, Ehrhart M, Torres E, Miech E, Miech E, Stevens K, Hamilton A, Cohen D, Padgett D, Morshed A, Patel R, Prusaczyk B, Aron DC, Gupta D, Ball S, Hand R, Abram J, Wolfram T, Hastings M, Moreland-Russell S, Tabak R, Ramsey A, Baumann A, Kryzer E, Montgomery K, Lewis E, Padek M, Powell B, Brownson R, Mamaril CB, Mays G, Branham K, Timsina L, Mays G, Hogg R, Fagan A, Shapiro V, Brown E, Haggerty K, Hawkins D, Oesterle S, Hawkins D, Catalano R, McKay V, Dolcini MM, Hoffer L, Moin T, Li J, Duru OK, Ettner S, Turk N, Chan C, Keckhafer A, Luchs R, Ho S, Mangione C, Selby P, Zawertailo L, Minian N, Balliunas D, Dragonetti R, Hussain S, Lecce J, Chinman M, Acosta J, Ebener P, Malone PS, Slaughter M, Freedman D, Flocke S, Lee E, Matlack K, Trapl E, Ohri-Vachaspati P, Taggart M, Borawski E, Parrish A, Harris J, Kohn M, Hammerback K, McMillan B, Hannon P, Swindle T, Curran G, Whiteside-Mansell L, Ward W, Holt C, Santos SL, Tagai E, Scheirer MA, Carter R, Bowie J, Haider M, Slade J, Wang MQ, Masica A, Ogola G, Berryman C, Richter K, Shelton R, Jandorf L, Erwin D, Truong K, Javier JR, Coffey D, Schrager SM, Palinkas L, Miranda J, Johnson V, Hutcherson V, Ellis R, Kharmats A, Marshall-King S, LaPradd M, Fonseca-Becker F, Kepka D, Bodson J, Warner E, Fowler B, Shenkman E, Hogan W, Odedina F, De Leon J, Hooper M, Carrasquillo O, Reams R, Hurt M, Smith S, Szapocznik J, Nelson D, Mandal P, Teufel J. Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation : Washington, DC, USA. 14-15 December 2015. Implement Sci 2016; 11 Suppl 2:100. [PMID: 27490260 PMCID: PMC4977475 DOI: 10.1186/s13012-016-0452-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
A1 Introduction to the 8th 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
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Lewis C, Darnell D, Kerns S, Monroe-DeVita M, Landes SJ, Lyon AR, Stanick C, Dorsey S, Locke J, Marriott B, Puspitasari A, Dorsey C, Hendricks K, Pierson A, Fizur P, Comtois KA, Palinkas LA, Chamberlain P, Aarons GA, Green AE, Ehrhart MG, Trott EM, Willging CE, Fernandez ME, Woolf NH, Liang SL, Heredia NI, Kegler M, Risendal B, Dwyer A, Young V, Campbell D, Carvalho M, Kellar-Guenther Y, Damschroder LJ, Lowery JC, Ono SS, Carlson KF, Cottrell EK, O’Neil ME, Lovejoy TL, Arch JJ, Mitchell JL, Lewis CC, Marriott BR, Scott K, Coldiron JS, Bruns EJ, Hook AN, Graham BC, Jordan K, Hanson RF, Moreland A, Saunders BE, Resnick HS, Stirman SW, Gutner CA, Gamarra J, Vogt D, Suvak M, Wachen JS, Dondanville K, Yarvis JS, Mintz J, Peterson AL, Borah EV, Litz BT, Molino A, McCaughan SY, Resick PA, Pandhi N, Jacobson N, Serrano N, Hernandez A, Schreiter EZ, Wietfeldt N, Karp Z, Pullmann MD, Lucenko B, Pavelle B, Uomoto JA, Negrete A, Cevasco M, Kerns SEU, Franks RP, Bory C, Miech EJ, Damush TM, Satterfield J, Satre D, Wamsley M, Yuan P, O’Sullivan P, Best H, Velasquez S, Barnett M, Brookman-Frazee L, Regan J, Stadnick N, Hamilton A, Lau A, Regan J, Hamilton A, Stadnick N, Barnett M, Lau A, Brookman-Frazee L, Stadnick N, Lau A, Barnett M, Regan J, Roesch S, Brookman-Frazee L, Powell BJ, Waltz TJ, Chinman MJ, Damschroder L, Smith JL, Matthieu MM, Proctor EK, Kirchner JE, Waltz TJ, Powell BJ, Chinman MJ, Damschroder LJ, Smith JL, Matthieu MJ, Proctor EK, Kirchner JE, Matthieu MM, Rosen CS, Waltz TJ, Powell BJ, Chinman MJ, Damschroder LJ, Smith JL, Proctor EK, Kirchner JE, Walker SC, Bishop AS, Lockhart M, Rodriguez AL, Manfredi L, Nevedal A, Rosenthal J, Blonigen DM, Mauricio AM, Dishion TD, Rudo-Stern J, Smith JD, Locke J, Wolk CB, Harker C, Olsen A, Shingledecker T, Barg F, Mandell D, Beidas RS, Hansen MC, Aranda MP, Torres-Vigil I, Hartzler B, Steinfeld B, Gildred T, Harlin Z, Shephard F, Ditty MS, Doyle A, Bickel JA, Cristaudo K, Fox D, Combs S, Lischner DH, Van Dorn RA, Tueller SJ, Hinde JM, Karuntzos GT, Monroe-DeVita M, Peterson R, Darnell D, Berliner L, Dorsey S, Murray LK, Botanov Y, Kikuta B, Chen T, Navarro-Haro M, DuBose A, Korslund KE, Linehan MM, Harker CM, Karp EA, Edmunds SR, Ibañez LV, Stone WL, Andrews JH, Johnides BD, Hausman EM, Hawley KM, Prusaczyk B, Ramsey A, Baumann A, Colditz G, Proctor EK, Botanov Y, Kikuta B, Chen T, Navarro-Haro M, DuBose A, Korslund KE, Linehan MM, Harker CM, Karp EA, Edmunds SR, Ibañez LV, Stone WL, Choy-Brown M, Andrews JH, Johnides BD, Hausman EM, Hawley KM, Prusaczyk B, Ramsey A, Baumann A, Colditz G, Proctor EK, Meza RD, Dorsey S, Wiltsey-Stirman S, Sedlar G, Lucid L, Dorsey C, Marriott B, Zounlome N, Lewis C, Gutner CA, Monson CM, Shields N, Mastlej M, Landy MSH, Lane J, Stirman SW, Finn NK, Torres EM, Ehrhart MG, Aarons GA, Malte CA, Lott A, Saxon AJ, Boyd M, Scott K, Lewis CC, Pierce JD, Lorthios-Guilledroit A, Richard L, Filiatrault J, Hallgren K, Crotwell S, Muñoz R, Gius B, Ladd B, McCrady B, Epstein E, Clapp JD, Ruderman DE, Barwick M, Barac R, Zlotkin S, Salim L, Davidson M, Bunger AC, Powell BJ, Robertson HA, Botsko C, Landes SJ, Smith BN, Rodriguez AL, Trent LR, Matthieu MM, Powell BJ, Proctor EK, Harned MS, Navarro-Haro M, Korslund KE, Chen T, DuBose A, Ivanoff A, Linehan MM, Garcia AR, Kim M, Palinkas LA, Snowden L, Landsverk J, Sweetland AC, Fernandes MJ, Santos E, Duarte C, Kritski A, Krawczyk N, Nelligan C, Wainberg ML, Aarons GA, Sommerfeld DH, Chi B, Ezeanolue E, Sturke R, Kline L, Guay L, Siberry G, Bennett IM, Beidas R, Gold R, Mao J, Powers D, Vredevoogd M, Unutzer J, Schroeder J, Volpe L, Steffen J, Dorsey S, Pullmann MD, Kerns SEU, Jungbluth N, Berliner L, Thompson K, Segell E, McGee-Vincent P, Liu N, Walser R, Runnals J, Shaw RK, Landes SJ, Rosen C, Schmidt J, Calhoun P, Varkovitzky RL, Landes SJ, Drahota A, Martinez JI, Brikho B, Meza R, Stahmer AC, Aarons GA, Williamson A, Rubin RM, Powell BJ, Hurford MO, Weaver SL, Beidas RS, Mandell DS, Evans AC, Powell BJ, Beidas RS, Rubin RM, Stewart RE, Wolk CB, Matlin SL, Weaver S, Hurford MO, Evans AC, Hadley TR, Mandell DS, Gerke DR, Prusaczyk B, Baumann A, Lewis EM, Proctor EK, McWilliam J, Brown J, Tucker M, Conte KP, Lyon AR, Boyd M, Melvin A, Lewis CC, Liu F, Jungbluth N, Kotte A, Hill KA, Mah AC, Korathu-Larson PA, Au JR, Izmirian S, Keir S, Nakamura BJ, Higa-McMillan CK, Cooper BR, Funaiole A, Dizon E, Hawkins EJ, Malte CA, Hagedorn HJ, Berger D, Frank A, Lott A, Achtmeyer CE, Mariano AJ, Saxon AJ, Wolitzky-Taylor K, Rawson R, Ries R, Roy-Byrne P, Craske M, Simmons D, Torrente C, Nathanson L, Carroll G, Smith JD, Brown K, Ramos K, Thornton N, Dishion TJ, Stormshak EA, Shaw DS, Wilson MN, Choy-Brown M, Tiderington E, Smith BT, Padgett DK, Rubin RM, Ray ML, Wandersman A, Lamont A, Hannah G, Alia KA, Hurford MO, Evans AC, Saldana L, Schaper H, Campbell M, Chamberlain P, Shapiro VB, Kim BE, Fleming JL, LeBuffe PA, Landes SJ, Lewis CC, Rodriguez AL, Marriott BR, Comtois KA, Lewis CC, Stanick C, Weiner BJ, Halko H, Dorsey C. 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. Implement Sci 2016; 11 Suppl 1:85. [PMID: 27357964 PMCID: PMC4928139 DOI: 10.1186/s13012-016-0428-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
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
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Mandell D, Howlin P. The International Journal of Research and Practice celebrates 20 years. Autism 2016; 20:3-4. [PMID: 27081685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
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Velott DL, Agbese E, Mandell D, Stein BD, Dick AW, Yu H, Leslie DL. Medicaid 1915(c) Home- and Community-Based Services waivers for children with autism spectrum disorder. Autism 2015; 20:473-82. [PMID: 26088059 DOI: 10.1177/1362361315590806] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This research aims to describe the characteristics of 1915(c) Home- and Community-Based Services waivers for children with autism spectrum disorder across states and over time. While increasingly popular, little is known about these Medicaid waivers. Understanding the characteristics of these programs is important to clinicians and policymakers in designing programs to meet the needs of this vulnerable population and to set the stage for evaluating changes that occur with the implementation of health-care reform. Home- and Community-Based Services waiver applications that included children with autism spectrum disorder as a target population were collected from the Centers for Medicare and Medicaid Services website, state websites, and state administrators. A data extraction tool was used to document waiver inclusions and restrictions, estimated service provision and institutional costs, and the inclusion of four core autism spectrum disorder services: respite, caregiver support and training, personal care, and evidence-based treatments. Investigators identified 50 current or former waivers across 29 states that explicitly included children with autism spectrum disorder in their target populations. Waivers differed substantially across states in the type and breadth of autism spectrum disorder coverage provided. Specifically, waivers varied in the populations they targeted, estimated cost of services, cost control methods employed, and services offered to children with autism spectrum disorder. Home- and Community-Based Services waivers for children with autism spectrum disorder are very complex and are not consistent across states or over time. Further efforts are needed to examine the characteristics of programs that are associated with improved access to care and clinical outcomes to maximize the benefits to individuals with autism spectrum disorder and their families.
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Affiliation(s)
| | | | - David Mandell
- Perelman School of Medicine at the University of Pennsylvania, USA
| | - Bradley D Stein
- RAND Corporation, USA University of Pittsburgh School of Medicine, USA
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Suhrheinrich J, Stahmer AC, Reed S, Schreibman L, Reisinger E, Mandell D. Implementation challenges in translating pivotal response training into community settings. J Autism Dev Disord 2014; 43:2970-6. [PMID: 23619949 DOI: 10.1007/s10803-013-1826-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Implementing evidence-based practices (EBPs) for children with autism is challenging for teachers because these practices are often complex, requiring significant training and resources that are not available in most school settings. This brief investigation was designed to identify areas of strength and difficulty for teachers implementing one such EBP, pivotal response training (PRT). Observational data were gathered from 41 teachers participating in two separate investigations involving PRT. Despite differences in training procedures, teachers demonstrated similarities in areas of strength (clear opportunities/instruction and child choice) and difficulty (turn taking and multiple cues). These findings suggest next steps toward systematic adaptation of PRT for classroom use. The research may serve as a model for the process of adapting EBPs for practice settings.
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Affiliation(s)
- Jessica Suhrheinrich
- Child and Adolescent Services Research Center, Rady Children's Hospital San Diego, 3020 Children's Way, MC 5033, San Diego, CA, 92123, USA,
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Lecavalier L, Mandell D. Autism Developmental Disabilities Monitoring Network surveillance: A reply to Drs Durkin, Bilder, Pettygrove, and Zahorodny. Autism 2014; 19:120-1. [DOI: 10.1177/1362361314550121] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Mandell D, Lecavalier L. Should we believe the Centers for Disease Control and Prevention’s autism spectrum disorder prevalence estimates? Autism 2014; 18:482-4. [DOI: 10.1177/1362361314538131] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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