A mixed-methods process evaluation of Family Navigation implementation for autism spectrum disorder

被引:30
|
作者
Broder-Fingert, Sarabeth [1 ]
Qin, Sarah [2 ]
Goupil, Julia [2 ]
Rosenberg, Jessica [2 ]
Augustyn, Marilyn [1 ]
Blum, Nate [3 ]
Bennett, Amanda [3 ]
Weitzman, Carol [4 ]
Guevara, James P. [3 ]
Fenick, Ada [4 ]
Silverstein, Michael [1 ]
Feinberg, Emily [1 ,5 ]
机构
[1] Boston Univ, Sch Med, Boston, MA 02215 USA
[2] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
[3] Boston Med Ctr, Boston, MA USA
[4] Yale Sch Med, New Haven, CT USA
[5] Boston Univ, Sch Publ Hlth, Boston, MA 02215 USA
关键词
autism spectrum disorders; qualitative research; PATIENT NAVIGATION; FAILURE MODE; MENTAL-HEALTH; EMERGENCY-DEPARTMENT; RISK-ASSESSMENT; PROCESS MAP; CARE; DIAGNOSIS; CHILDREN; SERVICES;
D O I
10.1177/1362361318808460
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
There is growing interest in Family Navigation as an approach to improving access to care for children with autism spectrum disorder, yet little data exist on the implementation of Family Navigation. The aim of this study was to identify potential failures in implementing Family Navigation for children with autism spectrum disorder, using a failure modes and effects analysis. This mixed-methods study was set within a randomized controlled trial testing the effectiveness of Family Navigation in reducing the time from screening to diagnosis and treatment for autism spectrum disorder across three states. Using standard failure modes and effects analysis methodology, experts in Family Navigation for autism spectrum disorder (n = 9) rated potential failures in implementation on a 10-point scale in three categories: likelihood of the failure occurring, likelihood of not detecting the failure, and severity of failure. Ratings were then used to create a risk priority number for each failure. The failure modes and effects analysis detected five areas for potential "high priority" failures in implementation: (1) setting up community-based services, (2) initial family meeting, (3) training, (4) fidelity monitoring, and (5) attending testing appointments. Reasons for failure included families not receptive, scheduling, and insufficient training time. The process with the highest risk profile was "setting up community-based services." Failure in "attending testing appointment" was rated as the most severe potential failure. A number of potential failures in Family Navigation implementation-along with strategies for mitigation-were identified. These data can guide those working to implement Family Navigation for children with autism spectrum disorder.
引用
收藏
页码:1288 / 1299
页数:12
相关论文
共 50 条
  • [21] Family Communication in Autism Spectrum Disorder: Applying the Family Caregiver Communication Typology to Parent Caregivers
    Pfender, Emily J.
    Wittenberg, Elaine
    Kerr, Anna M.
    Goldsmith, Joy, V
    HEALTH COMMUNICATION, 2023, 38 (13) : 2945 - 2955
  • [22] The Complexities of Family Caregiving at Work: A Mixed-Methods Study
    Gaugler, Joseph E.
    Pestka, Deborah L.
    Davila, Heather
    Sales, Rebecca
    Owen, Greg
    Baumgartner, Sarah A.
    Shook, Rocky
    Cunningham, Jane
    Kenney, Maureen
    INTERNATIONAL JOURNAL OF AGING & HUMAN DEVELOPMENT, 2018, 87 (04) : 347 - 376
  • [23] Family-based treatment for children and adolescents with eating disorders: a mixed-methods evaluation of a blended evidence-based implementation approach
    Couturier, Jennifer
    Kimber, Melissa
    Barwick, Melanie
    Woodford, Tracy
    Mcvey, Gail
    Findlay, Sheri
    Webb, Cheryl
    Niccols, Alison
    Lock, James
    TRANSLATIONAL BEHAVIORAL MEDICINE, 2021, 11 (01) : 64 - 73
  • [24] A Mixed Methods Study of Barriers to Formal Diagnosis of Autism Spectrum Disorder in Adults
    Laura Foran Lewis
    Journal of Autism and Developmental Disorders, 2017, 47 : 2410 - 2424
  • [25] Setting Families Up for Success: A Pilot Study of a Toolkit to Enhance the Autism Spectrum Disorder Diagnostic Evaluation Process
    Haine-Schlagel, Rachel
    Corsello, Christina
    Caplan, Barbara
    Gould, Hilary
    Brookman-Frazee, Lauren
    JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 2024, 54 (03) : 1221 - 1230
  • [26] Process evaluation of a district mental healthcare plan in Nepal: a mixed-methods case study
    Luitel, Nagendra P.
    Breuer, Erica
    Adhikari, Anup
    Kohrt, Brandon A.
    Lund, Crick
    Komproe, Ivan H.
    Jordans, Mark J. D.
    BJPSYCH OPEN, 2020, 6 (04):
  • [27] Development and validation of a system for the prediction of challenging behaviors of people with autism spectrum disorder based on a smart wearable shirt: A mixed-methods design
    Zwilling, Moti
    Romano, Alberto
    Hoffman, Hay
    Lotan, Meir
    Tesler, Riki
    FRONTIERS IN BEHAVIORAL NEUROSCIENCE, 2022, 16
  • [28] Implementation of EPR- Youth, a Client-Accessible and Multidisciplinary Health Record; A Mixed-Methods Process Evaluation
    Benjamins, Janine
    Duinkerken, Jan-Gerrit
    Den Hamer-Jordaan, Gerlinde
    Canfijn, Romay
    Koster, Rianne
    De Vet, Emely
    Haveman-Nies, Annemien
    INTERNATIONAL JOURNAL OF INTEGRATED CARE, 2023, 23 (02):
  • [29] A Mixed-Methods Analysis of Family Perceptions of Neuropsychological Evaluation and Resources for Pediatric Brain Tumor Survivors
    Moscato, Emily L.
    Fisher, Allison P.
    Gies, Lisa M.
    Smith-Paine, Julia M.
    Miley, Aimee E.
    Beebe, Dean W.
    Quinton, Thea L.
    Pai, Ahna L. H.
    Salloum, Ralph
    Wade, Shari L.
    ARCHIVES OF CLINICAL NEUROPSYCHOLOGY, 2021, 36 (08) : 1485 - 1501
  • [30] Acceptability of employment readiness measures in youth and young adults on the autism spectrum: a mixed-methods study
    Wittevrongel, Krystle
    Mitchell, Wendy
    Hebert, Michele L.
    Nicholas, David B.
    Zwicker, Jennifer D.
    DISABILITY AND REHABILITATION, 2022, 44 (16) : 4319 - 4331