The Potential of Twitter as a Data Source for Patient Safety

Nakhasi, Atul; Bell, Sarah; Passarella, Ralph J.; Paul, Michael J.; Dredze, Mark; Pronovost, Peter J.

doi:10.1097/pts.0000000000000253

Cited by 29 publications

(39 citation statements)

References 12 publications

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“…Siguiendo la línea de otros estudios que también han utilizado la red social Twitter, los hallazgos de esta investigación confirman que esta red social es una fuente relevante de datos para conocer las percepciones de los pacientes sobre ciertos comportamientos y como valiosa fuente de información para los sistemas sanitarios (39). Además, nuestros resultados muestran cómo el uso de esta red puede contribuir a la propagación de conductas alimentarias no saludables en aficionados a la práctica deportiva.…”

Section: Discussionunclassified

Hidratos de carbono y práctica deportiva: una etnografía virtual en Twitter

Martín

Castillo

2017

Nutr Hosp

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Introducción: aunque el consumo de hidratos de carbono es un factor clave para alcanzar un óptimo rendimiento deportivo, los niveles de ingesta parecen cuestionados por algunos deportistas amateurs, que llegan a desarrollar una aversión irracional por los hidratos de carbono conocida como “carbofobia”. Por otro lado, la alimentación es origen de comunidades virtuales erigidas como fuente de conocimiento e intercambio de información, aunque apenas se ha analizado la influencia de estas en los comportamientos alimentarios.Objetivos: conocer las conceptualizaciones sobre el consumo de hidratos de carbono y los patrones alimentarios relacionados con la carbofobia a través de la actividad en Twitter de aficionados a la práctica deportiva.Métodos: estudio cualitativo diseñado desde la Etnografía Virtual de Hine. Realizamos una inmersión virtual en cuentas en abierto de la red social Twitter en una muestra teórica de tuits de aficionados al deporte. Se realizó un análisis del discurso de la información narrativa de tuits mediante los procesos de codificación abierta, axial y selectiva y el método de comparación constante. Resultados: del análisis emergen cuatro grandes categorías que retratan las conceptualizaciones sobre los hidratos de carbono: los hidratos de carbono como sospechosos o culpables del estancamiento en el entrenamiento y de los problemas con el peso, la carbofobia como estilo de vida, la carbofobia como religión y la relación amor/odio con los hidratos de carbono. Conclusiones: la dieta baja en hidratos de carbono, o carente de ellos, es considerada como un estilo de vida saludable en algunos aficionados a la práctica deportiva. Los resultados de este estudio ponen de manifiesto el poder de herramientas de comunicación virtual como Twitter para apoyar, fomentar y mantener conductas alimentarias no frecuentes y no siempre saludables. Futuros estudios deben seguir profundizando en el contexto en el que aparecen estas prácticas.

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Section: Discussionunclassified

Hidratos de carbono y práctica deportiva: una etnografía virtual en Twitter

Martín

Castillo

2017

Nutr Hosp

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“…Three studies used retrospective data collection to examine past tweets (Beykikhoshk et al, 2014(Beykikhoshk et al, , 2015Ramagopalan et al, 2014). Six studies collected data prospectively by setting a future date to begin collecting tweets as data (Ahlwardt et al, 2014;Greaves et al, 2014;Marton, 2012;McNeil et al, 2011;Nakhasi et al, 2016;Parsons et al, 2015). Seven of the eight studies used various tools and programs to search for and collect data in addition to (Ahlwardt et al, 2014;Beykikhoshk et al, 2014Beykikhoshk et al, , 2015Greaves et al, 2014;Marton, 2012;McNeil et al, 2011;Ramagopalan et al, 2014).…”

Section: Mixed-methods Studiesmentioning

confidence: 99%

“…For example, in some studies, key participant demographic data (i.e., age, gender, geography) could not be confirmed Zhang et al (Nakhasi et al, 2016;Nascimento et al, 2014); therefore, researchers defined their population of interest by health concerns/interests (e.g., mining for key words like pain or cancer). Studies may also enforce rigor by contacting participants or reviewing their Twitter feed to verify inclusion or exclusion criteria (Hewis, 2015).…”

Section: Verifying Informationmentioning

confidence: 99%

“…Four studies collected data prospectively (Henzell et al, 2014;Nascimento et al, 2014;Shive et al, 2013;Sugawara et al, 2012). All seven qualitative studies also used various tools and programs to search for and collect data in addition to tweets including key words, phrases, or geolocations attached to the Twitter post or profile (Henzell et al, 2014;Hewis, 2015;Nakhasi et al, 2016;Nascimento et al, 2014;Shive et al, 2013;Sugawara et al, 2012;Tsuya et al, 2014).…”

Section: Qualitative Studiesmentioning

confidence: 99%

“…One article was from Australia (Hewis, 2015), three from Japan (Sugawara et al, 2012;Tsuya, Sugawara, Tanaka, & Narimatsu, 2014), three from the United States (Nakhasi et al, 2016;Nascimento et al, 2014;Shive, Bhatt, Cantino, Kvedar, & Jethwani, 2013), one from New Zealand (Henzell, Knight, Morgaine, Antoun, & Farella, 2014). Qualitative studies examined health focuses including patient safety (Nakhasi et al, 2016); infodemiology of self-reported migraine headache suffering (Nascimento et al, 2014); acne (Shive et al, 2013); orthodontics (Henzell et al, 2014;cancer (breast, leukemia, colon cancer, rectal cancer, colorectal, uterine, stomach, lung, and ovarian;Tsuya et al, 2014); magnetic resonance imaging patient's perspectives (Hewis, 2015); Twitter usage and its role in "wired" cancer patients (Sugawara et al, 2012).…”

Section: Qualitative Studiesmentioning

confidence: 99%

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Using Twitter for Data Collection With Health-Care Consumers

Zhang

Albrecht

Scott

2018

International Journal of Qualitative Methods

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Background: Twitter is one of the most popular social media platforms. The growing use of Twitter by health-care consumers creates a novel venue to understand patient experiences. To understand the potential for this platform to be utilized in patient-and family-oriented health research, this study reviewed published literature on the use of Twitter in health research. Methods: In collaboration with the research team, a research librarian designed and implemented a search strategy in eight databases. Primary and secondary screenings were conducted using predetermined criteria by one reviewer. A second reviewer verified screening decisions in 10% of the studies. Evidence tables were created to synthesize across the following study elements: research design, data collection techniques, analytic approaches, and author's insights on Twitter as a data collection method. Descriptive narrative analysis was used to synthesize data. Results: The search strategy captured 618 articles; 233 were eliminated in primary screening and 366 articles were eliminated during secondary screening. Verification by the second reviewer resulted in very good agreement (k ¼ .980). Seventeen articles were included in the final data set. Synthesis across the studies demonstrated that Twitter is currently used to search and mine research data, while active recruitment strategies on Twitter are just beginning to emerge. Conclusion: The novelty of Twitter for study recruitment and data collection with health-care consumers presents advantages and challenges that differ from traditional methods of data collection.

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Social Monitoring for Public Health

Paul¹,

Dredze²,

Marchionini³

2017

Synthesis Lectures on Information Concepts, Retrieval, and Services

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Public health thrives on high-quality evidence, yet acquiring meaningful data on a population remains a central challenge of public health research and practice. Social monitoring, the analysis of social media and other user-generated web data, has brought advances in the way we leverage population data to understand health. Social media offers advantages over traditional data sources, including real-time data availability, ease of access, and reduced cost. Social media allows us to ask, and answer, questions we never thought possible.This book presents an overview of the progress on uses of social monitoring to study public health over the past decade. We explain available data sources, common methods, and survey research on social monitoring in a wide range of public health areas. Our examples come from topics such as disease surveillance, behavioral medicine, and mental health, among others. We explore the limitations and concerns of these methods. Our survey of this exciting new field of data-driven research lays out future research directions.

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The Potential of Twitter as a Data Source for Patient Safety

Cited by 29 publications

References 12 publications

Hidratos de carbono y práctica deportiva: una etnografía virtual en Twitter

Hidratos de carbono y práctica deportiva: una etnografía virtual en Twitter

Using Twitter for Data Collection With Health-Care Consumers

Social Monitoring for Public Health

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