Online Reviews of Specialized Drug Treatment Facilities-Identifying Potential Drivers of High and Low Patient Satisfaction

被引:22
作者
Agarwal, Anish K. [1 ,2 ,3 ,4 ]
Wong, Vivien [2 ,3 ]
Pelullo, Arthur M. [2 ,3 ]
Guntuku, Sharath [2 ,3 ]
Polsky, Daniel [4 ]
Asch, David A. [2 ,3 ,4 ,5 ,6 ]
Muruako, Jonathan [2 ,3 ]
Merchant, Raina M. [1 ,2 ,3 ,4 ]
机构
[1] Univ Penn, Dept Emergency Med, Perelman Sch Med, Philadelphia, PA 19104 USA
[2] Univ Penn, Penn Med Ctr Digital Hlth, Philadelphia, PA 19104 USA
[3] Univ Penn, Penn Med Ctr Healthcare Innovat, Perelman Sch Med, Philadelphia, PA 19104 USA
[4] Univ Penn, Leonard Davis Inst Hlth Econ, Philadelphia, PA 19104 USA
[5] Univ Penn, Div Gen Internal Med, Perelman Sch Med, Philadelphia, PA 19104 USA
[6] Philadelphia VA Med Ctr, Ctr Hlth Equ Res & Promot, Philadelphia, PA USA
关键词
substance abuse; treatment centers; social media; patient experience; YELP REVIEWS; RATINGS; CARE;
D O I
10.1007/s11606-019-05548-9
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Despite the importance of high-quality and patient-centered substance use disorder treatment, there are no standardized ratings of specialized drug treatment facilities and their services. Online platforms offer insights into potential drivers of high and low patient experience. Objective We sought to analyze publicly available online review content of specialized drug treatment facilities and identify themes within high and low ratings. Design This was a retrospective analysis of online ratings and reviews of specialized drug treatment facilities in Pennsylvania listed within the 2016 National Directory of Drug and Alcohol Abuse Treatment Facilities. Latent Dirichlet Allocation, a machine learning approach to narrative text, was used to identify themes within reviews. Differential Language Analysis was then used to measure correlations between themes and star ratings. Setting Online reviews of Pennsylvania's specialized drug treatment facilities posted to Google and Yelp (July 2010-August 2018). Results A total of 7823 online ratings were posted over 8 years. The distribution was bimodal (43% 5-star and 34% 1-star). The average weighted rating of a facility was 3.3 stars. Online themes correlated with 5-star ratings were the following: focus on recovery (r = 0.53), helpfulness of staff (r = 0.43), compassionate care (r = 0.37), experienced a life-changing moment (r = 0.32), and staff professionalism (r = 0.29). Themes correlated with a 1-star rating were waiting time (r = 0.41), poor accommodations (0.26), poor phone communication (r = 0.24), medications given (0.24), and appointment availability (r = 0.23). Themes derived from review content were similar to 9 of the 14 facility-level services highlighted by the Substance Abuse and Mental Health Services Administration's National Survey of Substance Abuse Treatment Services. Conclusions Individuals are sharing their ratings and reviews of specialized drug treatment facilities on online platforms. Organically derived reviews of the patient experience, captured by online platforms, reveal potential drivers of high and low ratings. These represent additional areas of focus which can inform patient-centered quality metrics for specialized drug treatment facilities.
引用
收藏
页码:1647 / 1653
页数:7
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