Evidence map›Paper›PMID 26416185›Full record

ArticleJournal of genetic counseling2016

Assessment of the Readability of Genetic Counseling Patient Letters.

Emily Brown, Megan Skinner, Stephanie Ashley, Kate Reed, Shannan DeLany Dixon

Open access · bronzeAbstract read
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In one paragraph

Article in Journal of genetic counseling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 25 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Emily BrownUniversity of Maryland Genetic Counseling Program, Baltimore, MD, USA. ebrow102@jhmi.edu.
Megan SkinnerDepartment of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA.
Stephanie AshleyCenter for Maternal and Fetal Medicine, Anne Arundel Medical Center, Annapolis, MD, USA.
Kate ReedClinical and Continuing Education Program, The Jackson Laboratory, Bar Harbor, ME, USA.
Shannan DeLany DixonDepartment of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA.
University of Maryland, Baltimore · USAnne Arundel Medical Center · USJackson Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient letters are a powerful tool that genetic counselors use to communicate with their patients. Patient letters are often sent to provide information on a new diagnosis, reiterate test results, and to serve as a permanent record of the visit. Patient letters, however, are only helpful if the patients can understand them. More than 50 % of the US population reads below a 9th grade reading level and over one-third of the population has low health literacy skills. In this study we evaluate the readability of genetic counseling patient letters by assessing reading level, image use, and terminology use. One hundred forty-nine genetic counselors participated in the survey and of these, 79 submitted a sample patient letter. Analyses of the letters revealed a mean reading level of 10.93. On average, 6 genetic terms were included in each letter, and only 25 % of these terms were defined. Analyses of survey responses revealed over 75 % of the genetic counselors did not include images in their patient letters. These results indicate there is room for improvement in order to make genetic counseling patient letters more accessible to the general population.

Indexed as

ComprehensionCorrespondence as TopicHealth LiteracyCounselorsFemaleGenetic CounselingHumansMaleReadingSurveys and QuestionnairesGenetic counselingGenomic literacyPatient lettersReadability

Identifiers

PMID26416185
OpenAlexW2203056237

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.