Evidence map›Paper›PMID 35068232›Full record

ArticleJournal of primary care & community health

Comparison of a Focused Family Cancer History Questionnaire to Family History Documentation in the Electronic Medical Record.

Kristin Clift, Sarah Macklin-Mantia, Margaret Barnhorst, Lindsey Millares, Zacharay King, Anjali Agarwal, Richard John Presutti

Abstract read
In one paragraph

Article in Journal of primary care & community health. 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. Nonadherence to guidelines for genetic testing in families with ovarian cancer shows racial bias.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  3. Article
  4. Automated Family Histories Significantly Improve Risk Prediction in an EHR.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    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

7 authors.

Kristin CliftMayo Clinic, Jacksonville, FL, USA.ORCID 0000-0002-4302-9060
Sarah Macklin-MantiaMayo Clinic, Jacksonville, FL, USA.
Margaret BarnhorstMayo Clinic, Jacksonville, FL, USA.
Lindsey MillaresUniversity of Florida, Gainesville, FL, USA.
Zacharay KingMayo Clinic, Jacksonville, FL, USA.
Anjali AgarwalMayo Clinic, Jacksonville, FL, USA.
Richard John PresuttiMayo Clinic, Jacksonville, FL, USA.ORCID 0000-0001-6990-1323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFamily health history can be a valuable indicator of risk to develop certain cancers. Unfortunately, patient self-reported family history often contains inaccuracies, which might change recommendations for cancer screening. We endeavored to understand the difference between a patient's self-reported family history and their electronic medical record (EMR) family history. One aim of this study was to determine if family history information contained in the EMR differs from patient-reported family history collected using a focused questionnaire.

methodsWe created the Hereditary Cancer Questionnaire (HCQ) based on current guidelines and distributed to 314 patients in the Department of Family Medicine waiting room June 20 to August 1, 2018. The survey queried patients about specific cancers within their biological family to assess their risk of an inherited cancer syndrome. We used the questionnaire responses as a baseline when comparing family histories in the medical record.

resultsAgreement between the EMR and the questionnaire data decreased as the patients' risk for familial cancer increased. Meaning that the more significant a patient's family cancer history, the less likely it was to be recorded accurately and consistently in the EMR. Patients with low-risk levels, or fewer instances of cancer in the family, had more consistencies between the EMR and the questionnaire.

conclusionsGiven that physicians often make recommendations on incomplete information that is in the EMR, patients might not receive individualized preventive care based on a more complete family cancer history. This is especially true for individuals with more complicated and significant family history of cancer. An improved method of collecting family history, including increasing patient engagement, may help to decrease this disparity.

Indexed as

Electronic Health RecordsNeoplasmsDocumentationHumansMedical History TakingSurveys and Questionnairesfamily health historygenetic counselinghereditary cancer syndromesmedical history taking

Identifiers

PMID35068232
PMCPMC8796064

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.