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Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study
BACKGROUND: The quality of care in labor and delivery is traditionally measured through the Hospital Consumer Assessment of Healthcare Providers and Systems but less is known about the experiences of care reported by patients and caregivers on online sites that are more easily accessed by the public...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015735/ https://www.ncbi.nlm.nih.gov/pubmed/35357310 http://dx.doi.org/10.2196/28379 |
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author | Seltzer, Emily K Guntuku, Sharath Chandra Lanza, Amy L Tufts, Christopher Srinivas, Sindhu K Klinger, Elissa V Asch, David A Fausti, Nick Ungar, Lyle H Merchant, Raina M |
author_facet | Seltzer, Emily K Guntuku, Sharath Chandra Lanza, Amy L Tufts, Christopher Srinivas, Sindhu K Klinger, Elissa V Asch, David A Fausti, Nick Ungar, Lyle H Merchant, Raina M |
author_sort | Seltzer, Emily K |
collection | PubMed |
description | BACKGROUND: The quality of care in labor and delivery is traditionally measured through the Hospital Consumer Assessment of Healthcare Providers and Systems but less is known about the experiences of care reported by patients and caregivers on online sites that are more easily accessed by the public. OBJECTIVE: The aim of this study was to generate insight into the labor and delivery experience using hospital reviews on Yelp. METHODS: We identified all Yelp reviews of US hospitals posted online from May 2005 to March 2017. We used a machine learning tool, latent Dirichlet allocation, to identify 100 topics or themes within these reviews and used Pearson r to identify statistically significant correlations between topics and high (5-star) and low (1-star) ratings. RESULTS: A total of 1569 hospitals listed in the American Hospital Association directory had at least one Yelp posting, contributing a total of 41,095 Yelp reviews. Among those hospitals, 919 (59%) had at least one Yelp rating for labor and delivery services (median of 9 reviews), contributing a total of 6523 labor and delivery reviews. Reviews concentrated among 5-star (n=2643, 41%) and 1-star reviews (n=1934, 30%). Themes strongly associated with favorable ratings included the following: top-notch care (r=0.45, P<.001), describing staff as comforting (r=0.52, P<.001), the delivery experience (r=0.46, P<.001), modern and clean facilities (r=0.44, P<.001), and hospital food (r=0.38, P<.001). Themes strongly correlated with 1-star labor and delivery reviews included complaints to management (r=0.30, P<.001), a lack of agency among patients (r=0.47, P<.001), and issues with discharging from the hospital (r=0.32, P<.001). CONCLUSIONS: Online review content about labor and delivery can provide meaningful information about patient satisfaction and experiences. Narratives from these reviews that are not otherwise captured in traditional surveys can direct efforts to improve the experience of obstetrical care. |
format | Online Article Text |
id | pubmed-9015735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-90157352022-04-19 Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study Seltzer, Emily K Guntuku, Sharath Chandra Lanza, Amy L Tufts, Christopher Srinivas, Sindhu K Klinger, Elissa V Asch, David A Fausti, Nick Ungar, Lyle H Merchant, Raina M JMIR Form Res Original Paper BACKGROUND: The quality of care in labor and delivery is traditionally measured through the Hospital Consumer Assessment of Healthcare Providers and Systems but less is known about the experiences of care reported by patients and caregivers on online sites that are more easily accessed by the public. OBJECTIVE: The aim of this study was to generate insight into the labor and delivery experience using hospital reviews on Yelp. METHODS: We identified all Yelp reviews of US hospitals posted online from May 2005 to March 2017. We used a machine learning tool, latent Dirichlet allocation, to identify 100 topics or themes within these reviews and used Pearson r to identify statistically significant correlations between topics and high (5-star) and low (1-star) ratings. RESULTS: A total of 1569 hospitals listed in the American Hospital Association directory had at least one Yelp posting, contributing a total of 41,095 Yelp reviews. Among those hospitals, 919 (59%) had at least one Yelp rating for labor and delivery services (median of 9 reviews), contributing a total of 6523 labor and delivery reviews. Reviews concentrated among 5-star (n=2643, 41%) and 1-star reviews (n=1934, 30%). Themes strongly associated with favorable ratings included the following: top-notch care (r=0.45, P<.001), describing staff as comforting (r=0.52, P<.001), the delivery experience (r=0.46, P<.001), modern and clean facilities (r=0.44, P<.001), and hospital food (r=0.38, P<.001). Themes strongly correlated with 1-star labor and delivery reviews included complaints to management (r=0.30, P<.001), a lack of agency among patients (r=0.47, P<.001), and issues with discharging from the hospital (r=0.32, P<.001). CONCLUSIONS: Online review content about labor and delivery can provide meaningful information about patient satisfaction and experiences. Narratives from these reviews that are not otherwise captured in traditional surveys can direct efforts to improve the experience of obstetrical care. JMIR Publications 2022-03-31 /pmc/articles/PMC9015735/ /pubmed/35357310 http://dx.doi.org/10.2196/28379 Text en ©Emily K Seltzer, Sharath Chandra Guntuku, Amy L Lanza, Christopher Tufts, Sindhu K Srinivas, Elissa V Klinger, David A Asch, Nick Fausti, Lyle H Ungar, Raina M Merchant. Originally published in JMIR Formative Research (https://formative.jmir.org), 31.03.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Seltzer, Emily K Guntuku, Sharath Chandra Lanza, Amy L Tufts, Christopher Srinivas, Sindhu K Klinger, Elissa V Asch, David A Fausti, Nick Ungar, Lyle H Merchant, Raina M Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study |
title | Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study |
title_full | Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study |
title_fullStr | Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study |
title_full_unstemmed | Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study |
title_short | Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study |
title_sort | patient experience and satisfaction in online reviews of obstetric care: observational study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015735/ https://www.ncbi.nlm.nih.gov/pubmed/35357310 http://dx.doi.org/10.2196/28379 |
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