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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.
Afiliación
  • Seltzer EK; Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States.
  • Guntuku SC; Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, United States.
  • Lanza AL; Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States.
  • Tufts C; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States.
  • Srinivas SK; Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States.
  • Klinger EV; Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States.
  • Asch DA; Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, United States.
  • Fausti N; Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States.
  • Ungar LH; Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, United States.
  • Merchant RM; Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, United States.
JMIR Form Res ; 6(3): e28379, 2022 Mar 31.
Article en En | MEDLINE | ID: mdl-35357310
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies Idioma: En Revista: JMIR Form Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies Idioma: En Revista: JMIR Form Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos