Evidence map›Paper›PMID 25563219›Full record

ArticleJournal of personalized medicine2014

Formative evaluation of clinician experience with integrating family history-based clinical decision support into clinical practice.

Megan Doerr, Emily Edelman, Emily Gabitzsch, Charis Eng, Kathryn Teng

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 6 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

28 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Genetically guided precision medicine clinical decision support tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  2. Family history tools for primary care: A systematic review.The European journal of general practice · 2022
    Pooled it
  3. Pooled it
  4. 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
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. From Planning to Implementation of the YouthCan IMPACT Project: a Formative Evaluation.The journal of behavioral health services & research · 2020
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  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.

Megan DoerrCenter for Personalized Healthcare, Medicine Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA. doerrm@ccf.org.
Emily EdelmanGenomics Education, the Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609-1500, USA. emily.edelman@jax.org.
Emily GabitzschCenter for Personalized Healthcare, Medicine Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA. gabitze@ccf.org.
Charis EngGenomic Medicine Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA. engc@ccf.org.
Kathryn TengCenter for Personalized Healthcare, Medicine Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA. tengk@ccf.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family health history is a leading predictor of disease risk. Nonetheless, it is underutilized to guide care and, therefore, is ripe for health information technology intervention. To fill the family health history practice gap, Cleveland Clinic has developed a family health history collection and clinical decision support tool, MyFamily. This report describes the impact and process of implementing MyFamily into primary care, cancer survivorship and cancer genetics clinics. Ten providers participated in semi-structured interviews that were analyzed to identify opportunities for process improvement. Participants universally noted positive effects on patient care, including increases in quality, personalization of care and patient engagement. The impact on clinical workflow varied by practice setting, with differences observed in the ease of integration and the use of specific report elements. Tension between the length of the report and desired detail was appreciated. Barriers and facilitators to the process of implementation were noted, dominated by the theme of increased integration with the electronic medical record. These results fed real-time improvement cycles to reinforce clinician use. This model will be applied in future institutional efforts to integrate clinical genomic applications into practice and may be useful for other institutions considering the implementation of tools for personalizing medical management.

Identifiers

PMID25563219
PMCPMC4263968

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.