Evidence map›Paper›PMID 30635068›Full record

ReviewBMC medical education2019

Core competencies in genetics for healthcare professionals: results from a literature review and a Delphi method.

Alessia Tognetto, Maria Benedetta Michelazzo, Walter Ricciardi, Antonio Federici, Stefania Boccia

Abstract readReview
In one paragraph

Review in BMC medical education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Article
  4. Article
  5. A Delphi Study to Identify Priority Indicators for Formulary Selection of Innovative Anticancer Drugs in China.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Update to the essential genomic nursing competencies and outcome indicators.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2024
    Article
  13. Review
  14. Article
  15. Evidence-based consensus guidelines for ALS genetic testing and counseling.Annals of clinical and translational neurology · 2023
    Article
  16. A Survey of the Awareness and Educational Needs of Nurses in Nagasaki Prefecture Regarding Hereditary Breast and Ovarian Cancer.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Alessia TognettoUniversità Cattolica del Sacro Cuore, Sezione di Igiene, Istituto di Sanità Pubblica, Roma, Italy.
Maria Benedetta MichelazzoUniversità Cattolica del Sacro Cuore, Sezione di Igiene, Istituto di Sanità Pubblica, Roma, Italy.
Walter RicciardiUniversità Cattolica del Sacro Cuore, Sezione di Igiene, Istituto di Sanità Pubblica, Roma, Italy.
Antonio FedericiDirezione Generale Prevenzione Sanitaria, Ministero della Salute, Roma, Italy.
Stefania BocciaUniversità Cattolica del Sacro Cuore, Sezione di Igiene, Istituto di Sanità Pubblica, Roma, Italy. stefania.boccia@unicatt.it.

Funding

Centro Nazionale per il Controllo delle Malattie (CCM) of the Italian Ministry of Health J52F16000300001PRECeDI project (Marie Skłodowska-Curie Research and Innovation Staff Exchange - RISE) 645740
6 · The paper itself

Abstract

backgroundAdvances in genetics and genomics require that healthcare professionals manage and incorporate new technologies into the appropriate clinical practice. The aim of this study was to identify core competencies in genetics for non-geneticists, both physicians and non-physicians.

methodsWe performed a literature review by searching MEDLINE, SCOPUS, and ISI Web of Science databases to identify studies reporting competencies in genetics in terms of knowledge, attitudes and abilities for non-genetic healthcare professionals. Furthermore, we conducted a survey according to a modified Delphi method, involving genetics experts to evaluate the competencies to be included as items of the curricula.

resultsThree eligible documents were identified and 3 Delphi rounds were carried out to reach a consensus on the competencies to be incorporated in the curricula. With reference to the curriculum for physicians, 19 items were included in the knowledge domain, 3 in the attitudes and 10 in the abilities domain. We developed two different curricula for non-physicians: one specific for those working in genetic services (20 items in the knowledge domain, 3 in the attitudes and 12 in the abilities) and one for those not working in genetic services (10 items in the knowledge domain, 3 in the attitudes and 2 in the abilities).

conclusionsWe developed 3 curricula in genetics addressed to non-genetic healthcare professionals. They differ in the "knowledge" and "abilities", while the "attitudes" are the same for all the healthcare professionals. Although some concerns about the generalizability of the findings could arise due to the Italian perspective, we envisage the curricula can be used for genetics educational programs in several contexts.

Indexed as

Delphi TechniqueHealth PersonnelCurriculumGenetics, MedicalHealth Knowledge, Attitudes, PracticeHumansPractice Guidelines as TopicProfessional CompetenceCurriculumDelphi surveyGeneticsGenetics competencies for health care professionalsHealth educationMedical educationPublic health genomics

Identifiers

PMID30635068
PMCPMC6329113

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.