ArticleJournal of general internal medicine2020
Online Reviews of Specialized Drug Treatment Facilities-Identifying Potential Drivers of High and Low Patient Satisfaction.
Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Relationship between evaluation factors and star ratings for Japanese community healthcare institutions in electronic word-of-mouth reviews: an observational study.BMC primary care · 2024Observational
- Disparities by Race and Urbanicity in Online Health Care Facility Reviews.JAMA network open · 2024Article
- Article
- State and Federal Legislators' Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis.JMIR infodemiology · 2023Article
- Analyzing Online Reviews of Substance Use Disorder Treatment Facilities in the USA Using Machine Learning.Journal of general internal medicine · 2022Article
- COVID-19 contact tracing app reviews reveal concerns and motivations around adoption.PloS one · 2022Article
- State Legislators' Divergent Social Media Response to the Opioid Epidemic from 2014 to 2019: Longitudinal Topic Modeling Analysis.Journal of general internal medicine · 2021Article
- Association Between Crowdsourced Health Care Facility Ratings and Mortality in US Counties.JAMA network open · 2021Article
- Online Reviews of Mental Health Treatment Facilities: Narrative Themes Associated With Positive and Negative Ratings.Psychiatric services (Washington, D.C.) · 2021Article
- Patient and Caregiver Perceptions of Nursing Home Physicians: Insight from Yelp Reviews, 2009-2018.Journal of the American Geriatrics Society · 2020Article
- Rate Your Addiction Treatment Facility: Exploring the Quality Chasm Online.Journal of general internal medicine · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundDespite 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.
objectiveWe sought to analyze publicly available online review content of specialized drug treatment facilities and identify themes within high and low ratings.
designThis 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.
settingOnline reviews of Pennsylvania's specialized drug treatment facilities posted to Google and Yelp (July 2010-August 2018).
resultsA 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.
conclusionsIndividuals 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.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.