Evidence map›Paper›PMID 26609359›Full record

ArticleIsrael journal of health policy research2015

Family history intake: a challenge to personalized approaches in health promotion and disease prevention.

Ronit Endevelt, Iris Goren, Tal Sela, Varda Shalev

Abstract read
In one paragraph

Article in Israel journal of health policy research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Precision medicine integrating whole-genome sequencing, comprehensive metabolomics, and advanced imaging.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Article
  9. Article
  10. Systematic Analysis of Free-Text Family History in Electronic Health Record.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017
    Article
  11. 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

4 authors.

Ronit EndeveltUniversity of Haifa, Welfare and Health Faculty, School of Public Health, Haifa, Israel ; Maccabi Health Care Services, Tel Aviv, Israel ; Nutrition Department, Health Ministry, Jerusalem, Israel.
Iris GorenMaccabi Health Care Services, Tel Aviv, Israel.
Tal SelaMaccabi Health Care Services, Tel Aviv, Israel.
Varda ShalevMaccabi Health Care Services, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamily history is considered an essential, obligatory part of the primary physician's intake interview. Including coded FH in a unified medical file can save expensive genetic tests and detect the early onset of diseases in young people who are not recommended to be screened routinely. The objectives of this study are to explore the frequency and point in time of recording the coded family history (FH) as a first step to increasing awareness of the importance of such information.

methodsAll ICD-9 coded diagnoses of familial histories of disease (ICD-9 coded V16.0 - V19.8), including diseases related to gender, age, and indications of chronic diseases, were collected from the electronic medical records of patients ages 18 and above in Israel's Maccabi Health Care system. The study was carried out in 2012 on the basis of coded data for 1.9 million Maccabi members, which were collected from 2004 through 2011.

resultsOf the Maccabi members (the second biggest HMO in Israel covering 2 million people), only 10 % had FH coded documentation. FH was significantly more frequent for females than for males (13.5 % vise 10.1 %) and increased with age. About 10 % of the FH documentation occurred before any disease was diagnosed. The most frequent FH documentation was observed for cardiovascular disease, hypertension, and diabetes. In the case of cancer FH was more frequent in females, whereas in the case of males it was cardiovascular disease. DISCUSSION: Family history is an easy tool and need to be coded and implimented in most visits in order to get the best information of the potential health and disease of the patients.

conclusionsFH frequency is very low and varies with gender and age. The literature suggests that implementing it routinely in primary care will improve health care. Further research is needed to identify the factors that impede primary care givers from complying with FH guidelines.

Identifiers

PMID26609359
PMCPMC4659160

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.