Cargando…
Measuring patient-perceived quality of care in US hospitals using Twitter
BACKGROUND: Patients routinely use Twitter to share feedback about their experience receiving healthcare. Identifying and analysing the content of posts sent to hospitals may provide a novel real-time measure of quality, supplementing traditional, survey-based approaches. OBJECTIVE: To assess the us...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878682/ https://www.ncbi.nlm.nih.gov/pubmed/26464518 http://dx.doi.org/10.1136/bmjqs-2015-004309 |
_version_ | 1782433597376954368 |
---|---|
author | Hawkins, Jared B Brownstein, John S Tuli, Gaurav Runels, Tessa Broecker, Katherine Nsoesie, Elaine O McIver, David J Rozenblum, Ronen Wright, Adam Bourgeois, Florence T Greaves, Felix |
author_facet | Hawkins, Jared B Brownstein, John S Tuli, Gaurav Runels, Tessa Broecker, Katherine Nsoesie, Elaine O McIver, David J Rozenblum, Ronen Wright, Adam Bourgeois, Florence T Greaves, Felix |
author_sort | Hawkins, Jared B |
collection | PubMed |
description | BACKGROUND: Patients routinely use Twitter to share feedback about their experience receiving healthcare. Identifying and analysing the content of posts sent to hospitals may provide a novel real-time measure of quality, supplementing traditional, survey-based approaches. OBJECTIVE: To assess the use of Twitter as a supplemental data stream for measuring patient-perceived quality of care in US hospitals and compare patient sentiments about hospitals with established quality measures. DESIGN: 404 065 tweets directed to 2349 US hospitals over a 1-year period were classified as having to do with patient experience using a machine learning approach. Sentiment was calculated for these tweets using natural language processing. 11 602 tweets were manually categorised into patient experience topics. Finally, hospitals with ≥50 patient experience tweets were surveyed to understand how they use Twitter to interact with patients. KEY RESULTS: Roughly half of the hospitals in the US have a presence on Twitter. Of the tweets directed toward these hospitals, 34 725 (9.4%) were related to patient experience and covered diverse topics. Analyses limited to hospitals with ≥50 patient experience tweets revealed that they were more active on Twitter, more likely to be below the national median of Medicare patients (p<0.001) and above the national median for nurse/patient ratio (p=0.006), and to be a non-profit hospital (p<0.001). After adjusting for hospital characteristics, we found that Twitter sentiment was not associated with Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) ratings (but having a Twitter account was), although there was a weak association with 30-day hospital readmission rates (p=0.003). CONCLUSIONS: Tweets describing patient experiences in hospitals cover a wide range of patient care aspects and can be identified using automated approaches. These tweets represent a potentially untapped indicator of quality and may be valuable to patients, researchers, policy makers and hospital administrators. |
format | Online Article Text |
id | pubmed-4878682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48786822016-06-01 Measuring patient-perceived quality of care in US hospitals using Twitter Hawkins, Jared B Brownstein, John S Tuli, Gaurav Runels, Tessa Broecker, Katherine Nsoesie, Elaine O McIver, David J Rozenblum, Ronen Wright, Adam Bourgeois, Florence T Greaves, Felix BMJ Qual Saf Original Research BACKGROUND: Patients routinely use Twitter to share feedback about their experience receiving healthcare. Identifying and analysing the content of posts sent to hospitals may provide a novel real-time measure of quality, supplementing traditional, survey-based approaches. OBJECTIVE: To assess the use of Twitter as a supplemental data stream for measuring patient-perceived quality of care in US hospitals and compare patient sentiments about hospitals with established quality measures. DESIGN: 404 065 tweets directed to 2349 US hospitals over a 1-year period were classified as having to do with patient experience using a machine learning approach. Sentiment was calculated for these tweets using natural language processing. 11 602 tweets were manually categorised into patient experience topics. Finally, hospitals with ≥50 patient experience tweets were surveyed to understand how they use Twitter to interact with patients. KEY RESULTS: Roughly half of the hospitals in the US have a presence on Twitter. Of the tweets directed toward these hospitals, 34 725 (9.4%) were related to patient experience and covered diverse topics. Analyses limited to hospitals with ≥50 patient experience tweets revealed that they were more active on Twitter, more likely to be below the national median of Medicare patients (p<0.001) and above the national median for nurse/patient ratio (p=0.006), and to be a non-profit hospital (p<0.001). After adjusting for hospital characteristics, we found that Twitter sentiment was not associated with Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) ratings (but having a Twitter account was), although there was a weak association with 30-day hospital readmission rates (p=0.003). CONCLUSIONS: Tweets describing patient experiences in hospitals cover a wide range of patient care aspects and can be identified using automated approaches. These tweets represent a potentially untapped indicator of quality and may be valuable to patients, researchers, policy makers and hospital administrators. BMJ Publishing Group 2016-06 2015-10-13 /pmc/articles/PMC4878682/ /pubmed/26464518 http://dx.doi.org/10.1136/bmjqs-2015-004309 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Original Research Hawkins, Jared B Brownstein, John S Tuli, Gaurav Runels, Tessa Broecker, Katherine Nsoesie, Elaine O McIver, David J Rozenblum, Ronen Wright, Adam Bourgeois, Florence T Greaves, Felix Measuring patient-perceived quality of care in US hospitals using Twitter |
title | Measuring patient-perceived quality of care in US hospitals using Twitter |
title_full | Measuring patient-perceived quality of care in US hospitals using Twitter |
title_fullStr | Measuring patient-perceived quality of care in US hospitals using Twitter |
title_full_unstemmed | Measuring patient-perceived quality of care in US hospitals using Twitter |
title_short | Measuring patient-perceived quality of care in US hospitals using Twitter |
title_sort | measuring patient-perceived quality of care in us hospitals using twitter |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878682/ https://www.ncbi.nlm.nih.gov/pubmed/26464518 http://dx.doi.org/10.1136/bmjqs-2015-004309 |
work_keys_str_mv | AT hawkinsjaredb measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT brownsteinjohns measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT tuligaurav measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT runelstessa measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT broeckerkatherine measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT nsoesieelaineo measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT mciverdavidj measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT rozenblumronen measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT wrightadam measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT bourgeoisflorencet measuringpatientperceivedqualityofcareinushospitalsusingtwitter AT greavesfelix measuringpatientperceivedqualityofcareinushospitalsusingtwitter |