Evidence map›Paper›PMID 27437054›Full record

ArticleApplied clinical informatics2016

Evaluation: A Qualitative Pilot Study of Novel Information Technology Infrastructure to Communicate Genetic Variant Updates.

Stephanie Klinkenberg-Ramirez, Pamela M Neri, Lynn A Volk, Sara J Samaha, Lisa P Newmark, Stephanie Pollard, Matthew Varugheese, Samantha Baxter, Samuel J Aronson, Heidi L Rehm and 1 more

Abstract read
In one paragraph

Article in Applied clinical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effect of genetics clinical decision support tools on health-care providers' decision making: a mixed-methods systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  6. Article
  7. An ancillary genomics system to support the return of pharmacogenomic results.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  8. Review
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

11 authors.

Stephanie Klinkenberg-RamirezClinical and Quality Analysis, Partners HealthCare System , Wellesley, MA.
Pamela M NeriClinical and Quality Analysis, Partners HealthCare System , Wellesley, MA.
Lynn A VolkClinical and Quality Analysis, Partners HealthCare System , Wellesley, MA.
Sara J SamahaClinical and Quality Analysis, Partners HealthCare System , Wellesley, MA.
Lisa P NewmarkClinical and Quality Analysis, Partners HealthCare System , Wellesley, MA.
Stephanie PollardClinical and Quality Analysis, Partners HealthCare System , Wellesley, MA.
Matthew VarugheeseInformation Systems, Partners HealthCare Personalized Medicine , Cambridge, MA.
Samantha BaxterLaboratory for Molecular Medicine, Partners HealthCare Personalized Medicine , Cambridge, MA.
Samuel J AronsonInformation Systems, Partners HealthCare Personalized Medicine , Cambridge, MA.
Heidi L RehmLaboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, MA; Harvard Medical School, Boston, MA; Brigham and Women's Hospital, Boston, MA.
David W BatesClinical and Quality Analysis, Partners HealthCare System, Wellesley, MA; Harvard Medical School, Boston, MA; Brigham and Women's Hospital, Boston, MA.

Funding

Refining IT Support for Genetics in MedicineRC1LM010526 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI BATES, DAVID W., MD,MSC · 2009 to 2010
$995k
NLM NIH HHS RC1 LM010526
6 · The paper itself

Abstract

backgroundPartners HealthCare Personalized Medicine developed GeneInsight Clinic (GIC), a tool designed to communicate updated variant information from laboratory geneticists to treating clinicians through automated alerts, categorized by level of variant interpretation change.

objectivesThe study aimed to evaluate feedback from the initial users of the GIC, including the advantages and challenges to receiving this variant information and using this technology at the point of care.

methodsHealthcare professionals from two clinics that ordered genetic testing for cardiomyopathy and related disorders were invited to participate in one-hour semi-structured interviews and/ or a one-hour focus group. Using a Grounded Theory approach, transcript concepts were coded and organized into themes.

resultsTwo genetic counselors and two physicians from two treatment clinics participated in individual interviews. Focus group participants included one genetic counselor and four physicians. Analysis resulted in 8 major themes related to structuring and communicating variant knowledge, GIC's impact on the clinic, and suggestions for improvements. The interview analysis identified longitudinal patient care, family data, and growth in genetic testing content as potential challenges to optimization of the GIC infrastructure. DISCUSSION: Participants agreed that GIC implementation increased efficiency and effectiveness of the clinic through increased access to genetic variant information at the point of care.

conclusionDevelopment of information technology (IT) infrastructure to aid in the organization and management of genetic variant knowledge will be critical as the genetic field moves towards whole exome and whole genome sequencing. Findings from this study could be applied to future development of IT support for genetic variant knowledge management that would serve to improve clinicians' ability to manage and care for patients.

Indexed as

CommunicationGenetic VariationHumansMedical InformaticsPilot ProjectsPoint-of-Care SystemsPrecision Medicineclinical decision supportClinical informatics applicationsgeneticslaboratory softwarepersonalized medicine

Identifiers

PMID27437054
PMCPMC4941853

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.