Evidence map›Paper›PMID 34766249›Full record

ArticleJournal of community genetics2022

IMPACT webinars: Improving Patient Access to genetic Counselling and Testing using webinars-the Alberta experience with hypertrophic cardiomyopathy.

Susan Christian, Julia Tagoe, Lenore Delday, Francois P Bernier, Ruth Kohut, Raechel Ferrier

Abstract read
In one paragraph

Article in Journal of community genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

6 authors.

Susan ChristianMedical Genetics Clinic, Alberta Health Services, Edmonton, AB, Canada. smc12@ualberta.ca.ORCID http://orcid.org/0000-0001-5248-3049
Julia TagoeLethbridge Outreach Genetics Service, Alberta Health Services, Lethbridge, AB, Canada.
Lenore DeldayUnified Communications Services, Alberta Health Services, Calgary, AB, Canada.
Francois P BernierClinical and Metabolic Genetics, Alberta Health Services South, Calgary, AB, Canada.
Ruth KohutClinical and Metabolic Genetics, Alberta Health Services South, Calgary, AB, Canada.
Raechel FerrierClinical and Metabolic Genetics, Alberta Health Services South, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing demand for genetic counselling and testing has created a need for innovative service delivery models to provide quality care in an efficient manner. The goal of this study was to develop and evaluate a patient-facing webinar providing pre-test genetic counselling to individuals with hypertrophic cardiomyopathy. A patient-facing webinar was developed and implemented between April 2019 and January 2021. It was evaluated using the Alberta Quality Matrix for Health framework, which considers the patient experience across the domains of effectiveness, appropriateness, acceptability, accessibility, and efficiency. The webinar group showed comparable scores to controls with regard to self-perceived knowledge and decisional conflict. The majority of patients reported that the webinar met their expectations and was an acceptable replacement for a 1:1 genetic counselling appointment. Finally, the webinar reduced genetic counsellor time to an average of 24 min per patient. Providing pre-test genetic counselling to index hypertrophic cardiomyopathy patients via a group webinar has achieved a high quality of care, and optimized use of provider and space resources.

Indexed as

Genetic counsellingHypertrophic cardiomyopathyService delivery modelsWebinar

Identifiers

PMID34766249
PMCPMC8582342

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.