Systematic Review of Medical Home Models to Promote Transitions to Primary Adult Health Care for Adolescents Living With Autism Spectrum Disorder

2015 ◽  
Vol 12 (2) ◽  
pp. 98-107 ◽  
Author(s):  
Kathleen Rogers ◽  
Mary Beth Zeni
Autism ◽  
2020 ◽  
pp. 136236132097449
Author(s):  
Jill F Harris ◽  
Leigh P Gorman ◽  
Aditi Doshi ◽  
Shannon Swope ◽  
Shayleigh D Page

Transition from pediatric to adult health care systems presents unique challenges for adolescents with autism spectrum disorder who often have complex medical and mental health needs. Without a coordinated transition plan, pediatric providers often continue to provide care to young adults with autism spectrum disorder beyond the scope of their medical training. Adult providers may be unwilling and untrained to accept care for young adults with autism spectrum disorder. This quality improvement study identified baseline transition-related practices within a pediatric medical home practice and developed a model to promote transition to adult heath care for patients with autism spectrum disorder. Participants were 251 patients with autism spectrum disorder aged 12–21 years. Baseline data revealed limited and inconsistent communication directed to patients and families regarding transition. An evidence-based and replicable transition checklist, templated documentation, and resources geared to patients aged 12–21 years were developed. While improvement was noted in number of visits addressing transition, medical providers skipped or deferred transition discussion in approximately half of well visits for targeted patients. Challenges in implementing the transition process included finding time to discuss transition-related issues with patients/families, preference of medical providers to defer to social work to address transition, and difficulty identifying adult providers with whom to collaborate regarding care needs. Lay abstract As adolescents become adults, they typically change from seeing a pediatric health care provider to seeing a health care provider who specializes in working with adults. Adolescents with autism spectrum disorder may have more difficulty finding an adult health care provider who is trained to address the varied needs and medical and mental health issues that often are seen with autism spectrum disorder. Without careful planning for transition to adult health care, patients may continue to be seen by pediatric providers who may not be familiar with adult health needs. This quality improvement project focused on improving transition to adult health care by creating varied supports for the patient, family, and the health care team and putting them into action within a pediatric medical practice that serves over 250 adolescent and young adult patients with autism spectrum disorder. Before the supports were put into place, patients and families received limited and inconsistent communication to help them with transition. While the supports helped increase the amount and quality of help patients and families received, medical providers skipped or put off transition discussion in approximately half of well visits for targeted patients. Challenges in implementing the transition process included finding time to discuss transition-related issues with patients/families, preference of medical providers to have social workers discuss transition, and difficulty identifying adult health care providers for patients. This suggests more work is needed to both train and partner with patients, families, and health staff to promote smooth and positive health transitions.


Autism ◽  
2014 ◽  
Vol 19 (3) ◽  
pp. 262-271 ◽  
Author(s):  
Karen A Kuhlthau ◽  
Marji E Warfield ◽  
Jill Hurson ◽  
Jennifer Delahaye ◽  
Morgan K Crossman

2020 ◽  
Vol 29 (2) ◽  
pp. 890-902
Author(s):  
Lynn Kern Koegel ◽  
Katherine M. Bryan ◽  
Pumpki Lei Su ◽  
Mohini Vaidya ◽  
Stephen Camarata

Purpose The purpose of this systematic review was to identify parent education procedures implemented in intervention studies focused on expressive verbal communication for nonverbal (NV) or minimally verbal (MV) children with autism spectrum disorder (ASD). Parent education has been shown to be an essential component in the habilitation of individuals with ASD. Parents of individuals with ASD who are NV or MV may particularly benefit from parent education in order to provide opportunities for communication and to support their children across the life span. Method ProQuest databases were searched between the years of 1960 and 2018 to identify articles that targeted verbal communication in MV and NV individuals with ASD. A total of 1,231 were evaluated to assess whether parent education was implemented. We found 36 studies that included a parent education component. These were reviewed with regard to (a) the number of participants and participants' ages, (b) the parent education program provided, (c) the format of the parent education, (d) the duration of the parent education, (e) the measurement of parent education, and (f) the parent fidelity of implementation scores. Results The results of this analysis showed that very few studies have included a parent education component, descriptions of the parent education programs are unclear in most studies, and few studies have scored the parents' implementation of the intervention. Conclusions Currently, there is great variability in parent education programs in regard to participant age, hours provided, fidelity of implementation, format of parent education, and type of treatment used. Suggestions are made to provide both a more comprehensive description and consistent measurement of parent education programs.


2018 ◽  
Vol 19 (5) ◽  
pp. 454-459 ◽  
Author(s):  
Francielly Mourao Gasparotto ◽  
Francislaine Aparecida dos Reis Lívero ◽  
Sara Emilia Lima Tolouei Menegati ◽  
Arquimedes Gasparotto Junior

2019 ◽  
Author(s):  
Sun Jae Moon ◽  
Jin Seub Hwang ◽  
Rajesh Kana ◽  
John Torous ◽  
Jung Won Kim

BACKGROUND Over the recent years, machine learning algorithms have been more widely and increasingly applied in biomedical fields. In particular, its application has been drawing more attention in the field of psychiatry, for instance, as diagnostic tests/tools for autism spectrum disorder. However, given its complexity and potential clinical implications, there is ongoing need for further research on its accuracy. OBJECTIVE The current study aims to summarize the evidence for the accuracy of use of machine learning algorithms in diagnosing autism spectrum disorder (ASD) through systematic review and meta-analysis. METHODS MEDLINE, Embase, CINAHL Complete (with OpenDissertations), PsyINFO and IEEE Xplore Digital Library databases were searched on November 28th, 2018. Studies, which used a machine learning algorithm partially or fully in classifying ASD from controls and provided accuracy measures, were included in our analysis. Bivariate random effects model was applied to the pooled data in meta-analysis. Subgroup analysis was used to investigate and resolve the source of heterogeneity between studies. True-positive, false-positive, false negative and true-negative values from individual studies were used to calculate the pooled sensitivity and specificity values, draw SROC curves, and obtain area under the curve (AUC) and partial AUC. RESULTS A total of 43 studies were included for the final analysis, of which meta-analysis was performed on 40 studies (53 samples with 12,128 participants). A structural MRI subgroup meta-analysis (12 samples with 1,776 participants) showed the sensitivity at 0.83 (95% CI-0.76 to 0.89), specificity at 0.84 (95% CI -0.74 to 0.91), and AUC/pAUC at 0.90/0.83. An fMRI/deep neural network (DNN) subgroup meta-analysis (five samples with 1,345 participants) showed the sensitivity at 0.69 (95% CI- 0.62 to 0.75), the specificity at 0.66 (95% CI -0.61 to 0.70), and AUC/pAUC at 0.71/0.67. CONCLUSIONS Machine learning algorithms that used structural MRI features in diagnosis of ASD were shown to have accuracy that is similar to currently used diagnostic tools.


Author(s):  
Huaimin Yi ◽  
Yajun Han ◽  
Mengxin Li ◽  
Jiong Wang ◽  
Liping Yang

2021 ◽  
pp. 116856
Author(s):  
Frédéric Dutheil ◽  
Aurélie Comptour ◽  
Roxane Morlon ◽  
Martial Mermillod ◽  
Bruno Pereira ◽  
...  

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