Evidence map›Paper›PMID 32468681›Full record

ArticleMolecular genetics & genomic medicine2020

Utilization of health information technology among cancer genetic counselors.

Jordon B Ritchie, Caitlin G Allen, Heath Morrison, Michelle Nichols, Steven D Lauzon, Joshua D Schiffman, Chanita Hughes Halbert, Brandon M Welch

Abstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Videoconferencing to deliver genetics services: a systematic review of telegenetics in light of the COVID-19 pandemic.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
  2. Pooled it
  3. Trial
  4. Review
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  7. Observational
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  13. Timing ofCancer control : journal of the Moffitt Cancer Center
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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

8 authors.

Jordon B RitchieDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0001-7503-6073
Caitlin G AllenDepartment of Behavioral Sciences and Health Education, Emory University, Atlanta, GA, USA.ORCID 0000-0002-6288-3529
Heath MorrisonBiomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA.
Michelle NicholsCollege of Nursing, Medical University of South Carolina, Charleston, SC, USA.
Steven D LauzonDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Joshua D SchiffmanUniversity of Utah, Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, UT, USA.
Chanita Hughes HalbertDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Brandon M WelchDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0002-2214-9282

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Medical University of South Carolina NCORP Minority/Underserved Community SiteUG1CA189848 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Marvella Elizabeth Ford, Evan Michael Graboyes · 2014 to 2026
$11.0M
Sociobiological Responses to Stress in Prostate Cancer SurvivorsU54MD010706 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MELVIN, CATHY LEE · 2016 to 2020
$8.0M
Improving cancer family history collection through social networking and artificial intelligenceK07CA211786 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI WELCH, BRANDON M · 2016 to 2020
$867k
Identifying hereditary cancer patients in low-resource community cancer settings using an innovative informatics solutionR41CA239867 · NCI · ITRUNSINMYFAMILY.COM, INC. · PI HUGHES-HALBERT, CHANITA A., WELCH, BRANDON M · 2019 to 2019
$300k
NCATS NIH HHS UL1 TR001450NCI NIH HHS K07 CA211786NCI NIH HHS R41 CA239867NCI NIH HHS UG1 CA189848NIMHD NIH HHS U54 MD010706
6 · The paper itself

Abstract

backgroundHealth information technology (IT) is becoming increasingly utilized by cancer genetic counselors (CGCs). We sought to understand the current engagement, satisfaction, and opportunities to adopt new health IT tools among CGCs.

methodsWe conducted a mixed-mode survey among 128 board-certified CGCs using both closed- and open-ended questions. We then evaluated the utilization and satisfaction among 10 types of health IT tools, including the following: cancer screening tool, family health history (FHx) collection tools, electronic health records (EHRs), telegenetics software, pedigree drawing software, genetic risk assessment tools, gene test panel ordering tools, electronic patient education tools, patient communication tools, and family communication tools.

resultsSeven of 10 health IT tools were used by a minority of CGCs. The vast majority of respondents reported using EHRs (95.2%) and genetic risk assessment tools (88.6%). Genetic test panel ordering software had the highest satisfaction rate (very satisfied and satisfied) at 80.0%, followed by genetic risk assessment tools (77.1%). EHRs had the highest dissatisfaction rate among CGCs at 18.3%. Dissatisfaction with a health IT tool was associated with desire to change: EHRs (p < .001), cancer screening tools (p = .010), genetic risk assessment tools (p = .024), and family history collection tools (p = .026). We found that nearly half of CGCs were considering adopting or changing their FHx tool (49.2%), cancer screening tool (44.9%), and pedigree drawing tool (41.8%).

conclusionOverall, CGCs reported high levels of satisfaction among commonly used health IT tools. Tools that enable the collection of FHx, cancer screening tools, and pedigree drawing software represent the greatest opportunities for research and development.

Indexed as

CounselorsFacilities and Services UtilizationGenetic CounselingGenetic TestingHealth Knowledge, Attitudes, PracticeHumansMedical InformaticsNeoplasmsSoftwareSurveys and Questionnairesbiomedical informaticsgenetic counselinghealth information technologysoftware

Identifiers

PMID32468681
PMCPMC7434745

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.