Literature DB >> 22925723

A classification of errors in lay comprehension of medical documents.

Alla Keselman1, Catherine Arnott Smith.   

Abstract

Emphasis on participatory medicine requires that patients and consumers participate in tasks traditionally reserved for healthcare providers. This includes reading and comprehending medical documents, often but not necessarily in the context of interacting with Personal Health Records (PHRs). Research suggests that while giving patients access to medical documents has many benefits (e.g., improved patient-provider communication), lay people often have difficulty understanding medical information. Informatics can address the problem by developing tools that support comprehension; this requires in-depth understanding of the nature and causes of errors that lay people make when comprehending clinical documents. The objective of this study was to develop a classification scheme of comprehension errors, based on lay individuals' retellings of two documents containing clinical text: a description of a clinical trial and a typical office visit note. While not comprehensive, the scheme can serve as a foundation of further development of a taxonomy of patients' comprehension errors. Eighty participants, all healthy volunteers, read and retold two medical documents. A data-driven content analysis procedure was used to extract and classify retelling errors. The resulting hierarchical classification scheme contains nine categories and 23 subcategories. The most common error made by the participants involved incorrectly recalling brand names of medications. Other common errors included misunderstanding clinical concepts, misreporting the objective of a clinical research study and physician's findings during a patient's visit, and confusing and misspelling clinical terms. A combination of informatics support and health education is likely to improve the accuracy of lay comprehension of medical documents. Published by Elsevier Inc.

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Year:  2012        PMID: 22925723      PMCID: PMC3504163          DOI: 10.1016/j.jbi.2012.07.012

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  63 in total

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2.  How patients use access to their electronic GP record--a quantitative study.

Authors:  Vanita Bhavnani; Brian Fisher; Marlene Winfield; Paul Seed
Journal:  Fam Pract       Date:  2010-11-17       Impact factor: 2.267

3.  Towards consumer-friendly PHRs: patients' experience with reviewing their health records.

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Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

4.  A taxonomy characterizing complexity of consumer eHealth Literacy.

Authors:  Connie V Chan; Lisa A Matthews; David R Kaufman
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

5.  Contraceptive counselling to teenagers at abortion visits--a qualitative content analysis.

Authors:  Gabriella Falk; Jan Brynhildsen; Ann Britt Ivarsson
Journal:  Eur J Contracept Reprod Health Care       Date:  2009-10       Impact factor: 1.848

6.  The JCAHO patient safety event taxonomy: a standardized terminology and classification schema for near misses and adverse events.

Authors:  Andrew Chang; Paul M Schyve; Richard J Croteau; Dennis S O'Leary; Jerod M Loeb
Journal:  Int J Qual Health Care       Date:  2005-02-21       Impact factor: 2.038

7.  Project HealthDesign: rethinking the power and potential of personal health records.

Authors:  Patricia Flatley Brennan; Stephen Downs; Gail Casper
Journal:  J Biomed Inform       Date:  2010-10       Impact factor: 6.317

8.  "Shuttle sheet": a patient-held medical record for pediatric oncology families.

Authors:  M M Stevens
Journal:  Med Pediatr Oncol       Date:  1992

9.  The views of therapists on the use of a patient-held record in the care of stroke patients.

Authors:  M Ayana; P Pound; S Ebrahim
Journal:  Clin Rehabil       Date:  1998-08       Impact factor: 3.477

10.  Individual, practice, and system causes of errors in nursing: a taxonomy.

Authors:  Patricia Benner; Vickie Sheets; Patricia Uris; Kathy Malloch; Kathy Schwed; Dwayne Jamison
Journal:  J Nurs Adm       Date:  2002-10       Impact factor: 1.737

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  15 in total

1.  Assessing the readability of ClinicalTrials.gov.

Authors:  Danny T Y Wu; David A Hanauer; Qiaozhu Mei; Patricia M Clark; Lawrence C An; Joshua Proulx; Qing T Zeng; V G Vinod Vydiswaran; Kevyn Collins-Thompson; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2015-08-11       Impact factor: 4.497

2.  Free Web-based personal health records: an analysis of functionality.

Authors:  José Luis Fernández-Alemán; Carlos Luis Seva-Llor; Ambrosio Toval; Sofia Ouhbi; Luis Fernández-Luque
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3.  Interventions to increase patient portal use in vulnerable populations: a systematic review.

Authors:  Lisa V Grossman; Ruth M Masterson Creber; Natalie C Benda; Drew Wright; David K Vawdrey; Jessica S Ancker
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

4.  Predicting Transition Words Between Sentence for English and Spanish Medical Text.

Authors:  David Kauchak; Gondy Leroy; Menglu Pei; Sonia Colina
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

5.  Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information.

Authors:  Zachary N Flamholz; Andrew Crane-Droesch; Lyle H Ungar; Gary E Weissman
Journal:  J Biomed Inform       Date:  2021-12-14       Impact factor: 6.317

6.  Towards more patient friendly clinical notes through language models and ontologies.

Authors:  Francesco Moramarco; Damir Juric; Aleksandar Savkov; Jack Flann; Maria Lehl; Kristian Boda; Tessa Grafen; Vitalii Zhelezniak; Sunir Gohil; Alex Papadopoulos Korfiatis; Nils Hammerla
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

Review 7.  Effects on Text Simplification: Evaluation of Splitting Up Noun Phrases.

Authors:  Gondy Leroy; David Kauchak; Alan Hogue
Journal:  J Health Commun       Date:  2016

8.  Scientific Versus Experiential Evidence: Discourse Analysis of the Chronic Cerebrospinal Venous Insufficiency Debate in a Multiple Sclerosis Forum.

Authors:  Janka Koschack; Lara Weibezahl; Tim Friede; Wolfgang Himmel; Philip Makedonski; Jens Grabowski
Journal:  J Med Internet Res       Date:  2015-07-01       Impact factor: 5.428

9.  A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews.

Authors:  Jinying Chen; Emily Druhl; Balaji Polepalli Ramesh; Thomas K Houston; Cynthia A Brandt; Donna M Zulman; Varsha G Vimalananda; Samir Malkani; Hong Yu
Journal:  J Med Internet Res       Date:  2018-01-22       Impact factor: 5.428

10.  Communicating cancer treatment information using the Web: utilizing the patient's perspective in website development.

Authors:  Wendy Hopmans; Olga C Damman; Danielle R M Timmermans; Cornelis J A Haasbeek; Ben J Slotman; Suresh Senan
Journal:  BMC Med Inform Decis Mak       Date:  2014-12-07       Impact factor: 2.796

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