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Summative content analysis of the recommendations from Project ECHO Ontario Autism.
Jane, Alanna; Kanigsberg, Lisa; Patel, Anmol; Eldon, Salina; Anagnostou, Evdokia; Brian, Jessica; Penner, Melanie.
  • Jane A; School of Medicine, Queen's University, Kingston, ON, Canada.
  • Kanigsberg L; Autism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
  • Patel A; Autism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
  • Eldon S; Autism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
  • Anagnostou E; Autism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
  • Brian J; Department of Paediatrics, University of Toronto, Toronto, ON, Canada.
  • Penner M; Autism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Front Rehabil Sci ; 4: 1096314, 2023.
Article in English | MEDLINE | ID: covidwho-2297085
ABSTRACT

Background:

Practitioners report a lack of knowledge and confidence in treating autistic children, resulting in unmet healthcare needs. The Extension of Community Healthcare Outcomes (ECHO) Autism model addresses this through discussion of participant-generated cases, helping physicians provide best-practice care through co-created recommendations. Recommendations stemming from ECHO cases have yet to be characterized and may help guide the future care of autistic children. Our objective was to characterize and categorize case discussion recommendations from Project ECHO Ontario Autism to better identify gaps in clinician knowledge.

Methods:

We conducted a summative content analysis of all ECHO Ontario Autism case recommendations to identify categories of recommendations and their frequencies. Two researchers independently coded recommendations from five ECHO cases to develop the coding guide. They then each independently coded all remaining cases and recommendations from three cycles of ECHO held between October 2018 to July 2021, meeting regularly with the ECHO lead to consolidate the codes. A recommendation could be identified with more than one code if it pertained to multiple aspects of autism care. Categories from the various codes were identified and the frequency of each code was calculated.

Results:

Of the 422 recommendations stemming from 62 cases, we identified 55 codes across ten broad categories. Categories included accessing community resources (n = 224), referrals to allied health and other providers (n = 202), ongoing autism care (n = 169), co-occurring mental and physical health conditions (n = 168), resources and tools for further learning (n = 153), physician to provide education and coaching to families (n = 150), promoting parent and family wellness (n = 104), supporting community autism diagnosis (n = 97), promoting patient empowerment and autonomy (n = 87), and COVID-19 (n = 26).

Conclusion:

This is the first time that recommendations from ECHO Autism have been characterized and grouped into categories. Our results show that advice for autism identification and management spans many different facets of community-based care. Specific attention should be paid to providing continued access to education about autism, streamlining referrals to allied health providers, and a greater focus on patient- and family-centered care. Physicians should have continued access to autism education to help fill knowledge gaps and to facilitate families' service navigation.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Front Rehabil Sci Year: 2023 Document Type: Article Affiliation country: Fresc.2023.1096314

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Front Rehabil Sci Year: 2023 Document Type: Article Affiliation country: Fresc.2023.1096314