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What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses
INTRODUCTION: Emergency department (ED) patients’ Internet search terms prior to arrival have not been well characterized. The objective of this analysis was to characterize the Internet search terms patients used prior to ED arrival and their relationship to final diagnoses. METHODS: We collected d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Department of Emergency Medicine, University of California, Irvine School of Medicine
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576630/ https://www.ncbi.nlm.nih.gov/pubmed/28874946 http://dx.doi.org/10.5811/westjem.2017.5.34108 |
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author | McCarthy, Danielle M. Scott, Grant N. Courtney, D. Mark Czerniak, Alyssa Aldeen, Amer Z. Gravenor, Stephanie Dresden, Scott M. |
author_facet | McCarthy, Danielle M. Scott, Grant N. Courtney, D. Mark Czerniak, Alyssa Aldeen, Amer Z. Gravenor, Stephanie Dresden, Scott M. |
author_sort | McCarthy, Danielle M. |
collection | PubMed |
description | INTRODUCTION: Emergency department (ED) patients’ Internet search terms prior to arrival have not been well characterized. The objective of this analysis was to characterize the Internet search terms patients used prior to ED arrival and their relationship to final diagnoses. METHODS: We collected data via survey; participants listed Internet search terms used. Terms were classified into categories: symptom, specific diagnosis, treatment options, anatomy questions, processes of care/physicians, or “other.” We categorized each discharge diagnosis as either symptom-based or formal diagnosis. The relationship between the search term and final diagnosis was assigned to one of four categories of search/diagnosis combinations (symptom search/symptom diagnosis, symptom search/formal diagnosis, diagnosis search/symptom diagnosis, diagnosis search/formal diagnosis), representing different “trajectories.” RESULTS: We approached 889 patients; 723 (81.3%) participated. Of these, 177 (24.5%) used the Internet prior to ED presentation; however, seven had incomplete data (N=170). Mean age was 47 years (standard deviation 18.2); 58.6% were female and 65.7% white. We found that 61.7% searched symptoms and 40.6% searched a specific diagnosis. Most patients received discharge diagnoses of equal specificity as their search terms (34% flat trajectory-symptoms and 34% flat trajectory-diagnosis). Ten percent searched for a diagnosis by name but received a symptom-based discharge diagnosis with less specificity. In contrast, 22% searched for a symptom and received a detailed diagnosis. Among those who searched for a diagnosis by name (n=69) only 29% received the diagnosis that they had searched. CONCLUSION: The majority of patients used symptoms as the basis of their pre-ED presentation Internet search. When patients did search for specific diagnoses, only a minority searched for the diagnosis they eventually received. |
format | Online Article Text |
id | pubmed-5576630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Department of Emergency Medicine, University of California, Irvine School of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-55766302017-09-05 What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses McCarthy, Danielle M. Scott, Grant N. Courtney, D. Mark Czerniak, Alyssa Aldeen, Amer Z. Gravenor, Stephanie Dresden, Scott M. West J Emerg Med Technology in Emergency Medicine INTRODUCTION: Emergency department (ED) patients’ Internet search terms prior to arrival have not been well characterized. The objective of this analysis was to characterize the Internet search terms patients used prior to ED arrival and their relationship to final diagnoses. METHODS: We collected data via survey; participants listed Internet search terms used. Terms were classified into categories: symptom, specific diagnosis, treatment options, anatomy questions, processes of care/physicians, or “other.” We categorized each discharge diagnosis as either symptom-based or formal diagnosis. The relationship between the search term and final diagnosis was assigned to one of four categories of search/diagnosis combinations (symptom search/symptom diagnosis, symptom search/formal diagnosis, diagnosis search/symptom diagnosis, diagnosis search/formal diagnosis), representing different “trajectories.” RESULTS: We approached 889 patients; 723 (81.3%) participated. Of these, 177 (24.5%) used the Internet prior to ED presentation; however, seven had incomplete data (N=170). Mean age was 47 years (standard deviation 18.2); 58.6% were female and 65.7% white. We found that 61.7% searched symptoms and 40.6% searched a specific diagnosis. Most patients received discharge diagnoses of equal specificity as their search terms (34% flat trajectory-symptoms and 34% flat trajectory-diagnosis). Ten percent searched for a diagnosis by name but received a symptom-based discharge diagnosis with less specificity. In contrast, 22% searched for a symptom and received a detailed diagnosis. Among those who searched for a diagnosis by name (n=69) only 29% received the diagnosis that they had searched. CONCLUSION: The majority of patients used symptoms as the basis of their pre-ED presentation Internet search. When patients did search for specific diagnoses, only a minority searched for the diagnosis they eventually received. Department of Emergency Medicine, University of California, Irvine School of Medicine 2017-08 2017-07-14 /pmc/articles/PMC5576630/ /pubmed/28874946 http://dx.doi.org/10.5811/westjem.2017.5.34108 Text en Copyright: © 2017 McCarthy et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Technology in Emergency Medicine McCarthy, Danielle M. Scott, Grant N. Courtney, D. Mark Czerniak, Alyssa Aldeen, Amer Z. Gravenor, Stephanie Dresden, Scott M. What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses |
title | What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses |
title_full | What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses |
title_fullStr | What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses |
title_full_unstemmed | What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses |
title_short | What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses |
title_sort | what did you google? describing online health information search patterns of ed patients and their relationship with final diagnoses |
topic | Technology in Emergency Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576630/ https://www.ncbi.nlm.nih.gov/pubmed/28874946 http://dx.doi.org/10.5811/westjem.2017.5.34108 |
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