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Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)

BACKGROUND: The development of effective health care and public health interventions requires a comprehensive understanding of the perceptions, concerns, and stated needs of health care consumers and the public at large. Big datasets from social media and question-and-answer services provide insight...

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Autores principales: Priest, Chad, Knopf, Amelia, Groves, Doyle, Carpenter, Janet S, Furrey, Christopher, Krishnan, Anand, Miller, Wendy R, Otte, Julie L, Palakal, Mathew, Wiehe, Sarah, Wilson, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4805858/
https://www.ncbi.nlm.nih.gov/pubmed/26960745
http://dx.doi.org/10.2196/jmir.5033
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author Priest, Chad
Knopf, Amelia
Groves, Doyle
Carpenter, Janet S
Furrey, Christopher
Krishnan, Anand
Miller, Wendy R
Otte, Julie L
Palakal, Mathew
Wiehe, Sarah
Wilson, Jeffrey
author_facet Priest, Chad
Knopf, Amelia
Groves, Doyle
Carpenter, Janet S
Furrey, Christopher
Krishnan, Anand
Miller, Wendy R
Otte, Julie L
Palakal, Mathew
Wiehe, Sarah
Wilson, Jeffrey
author_sort Priest, Chad
collection PubMed
description BACKGROUND: The development of effective health care and public health interventions requires a comprehensive understanding of the perceptions, concerns, and stated needs of health care consumers and the public at large. Big datasets from social media and question-and-answer services provide insight into the public’s health concerns and priorities without the financial, temporal, and spatial encumbrances of more traditional community-engagement methods and may prove a useful starting point for public-engagement health research (infodemiology). OBJECTIVE: The objective of our study was to describe user characteristics and health-related queries of the ChaCha question-and-answer platform, and discuss how these data may be used to better understand the perceptions, concerns, and stated needs of health care consumers and the public at large. METHODS: We conducted a retrospective automated textual analysis of anonymous user-generated queries submitted to ChaCha between January 2009 and November 2012. A total of 2.004 billion queries were read, of which 3.50% (70,083,796/2,004,243,249) were missing 1 or more data fields, leaving 1.934 billion complete lines of data for these analyses. RESULTS: Males and females submitted roughly equal numbers of health queries, but content differed by sex. Questions from females predominantly focused on pregnancy, menstruation, and vaginal health. Questions from males predominantly focused on body image, drug use, and sexuality. Adolescents aged 12–19 years submitted more queries than any other age group. Their queries were largely centered on sexual and reproductive health, and pregnancy in particular. CONCLUSIONS: The private nature of the ChaCha service provided a perfect environment for maximum frankness among users, especially among adolescents posing sensitive health questions. Adolescents’ sexual health queries reveal knowledge gaps with serious, lifelong consequences. The nature of questions to the service provides opportunities for rapid understanding of health concerns and may lead to development of more effective tailored interventions.
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spelling pubmed-48058582016-04-07 Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012) Priest, Chad Knopf, Amelia Groves, Doyle Carpenter, Janet S Furrey, Christopher Krishnan, Anand Miller, Wendy R Otte, Julie L Palakal, Mathew Wiehe, Sarah Wilson, Jeffrey J Med Internet Res Original Paper BACKGROUND: The development of effective health care and public health interventions requires a comprehensive understanding of the perceptions, concerns, and stated needs of health care consumers and the public at large. Big datasets from social media and question-and-answer services provide insight into the public’s health concerns and priorities without the financial, temporal, and spatial encumbrances of more traditional community-engagement methods and may prove a useful starting point for public-engagement health research (infodemiology). OBJECTIVE: The objective of our study was to describe user characteristics and health-related queries of the ChaCha question-and-answer platform, and discuss how these data may be used to better understand the perceptions, concerns, and stated needs of health care consumers and the public at large. METHODS: We conducted a retrospective automated textual analysis of anonymous user-generated queries submitted to ChaCha between January 2009 and November 2012. A total of 2.004 billion queries were read, of which 3.50% (70,083,796/2,004,243,249) were missing 1 or more data fields, leaving 1.934 billion complete lines of data for these analyses. RESULTS: Males and females submitted roughly equal numbers of health queries, but content differed by sex. Questions from females predominantly focused on pregnancy, menstruation, and vaginal health. Questions from males predominantly focused on body image, drug use, and sexuality. Adolescents aged 12–19 years submitted more queries than any other age group. Their queries were largely centered on sexual and reproductive health, and pregnancy in particular. CONCLUSIONS: The private nature of the ChaCha service provided a perfect environment for maximum frankness among users, especially among adolescents posing sensitive health questions. Adolescents’ sexual health queries reveal knowledge gaps with serious, lifelong consequences. The nature of questions to the service provides opportunities for rapid understanding of health concerns and may lead to development of more effective tailored interventions. JMIR Publications Inc. 2016-03-09 /pmc/articles/PMC4805858/ /pubmed/26960745 http://dx.doi.org/10.2196/jmir.5033 Text en ©Chad Priest, Amelia Knopf, Doyle Groves, Janet S Carpenter, Christopher Furrey, Anand Krishnan, Wendy R Miller, Julie L Otte, Mathew Palakal, Sarah Wiehe, Jeffrey Wilson. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 09.03.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Priest, Chad
Knopf, Amelia
Groves, Doyle
Carpenter, Janet S
Furrey, Christopher
Krishnan, Anand
Miller, Wendy R
Otte, Julie L
Palakal, Mathew
Wiehe, Sarah
Wilson, Jeffrey
Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)
title Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)
title_full Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)
title_fullStr Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)
title_full_unstemmed Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)
title_short Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)
title_sort finding the patient’s voice using big data: analysis of users’ health-related concerns in the chacha question-and-answer service (2009–2012)
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4805858/
https://www.ncbi.nlm.nih.gov/pubmed/26960745
http://dx.doi.org/10.2196/jmir.5033
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