Evidence map›Paper›PMID 37064596›Full record

ArticleFrontiers in rehabilitation sciences2023

Summative content analysis of the recommendations from Project ECHO Ontario Autism.

Alanna Jane, Lisa Kanigsberg, Anmol Patel, Salina Eldon, Evdokia Anagnostou, Jessica Brian, Melanie Penner

Open access · goldAbstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. The Power of ECHO Autism: Improving Confidence and Holistic Care for Autistic Adults.Journal of intellectual disability research : JIDR · 2026
    Article
  2. Characterizing Project ECHO Autism Case Recommendations and Implementation.Journal of autism and developmental disorders · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Alanna JaneSchool of Medicine, Queen's University, Kingston, ON, Canada.
Lisa KanigsbergAutism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Anmol PatelAutism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Salina EldonAutism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Evdokia AnagnostouAutism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Jessica BrianAutism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Melanie PennerAutism Research Centre, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Holland Bloorview Kids Rehabilitation Hospital · CAQueen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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.

Indexed as

AutismdiagnosisECHOhealth servicesmedical educationsummative analysis

Identifiers

PMID37064596
PMCPMC10101203
OpenAlexW4361277017

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.