Evidence map›Paper›PMID 38875553›Full record

ArticleJMIR AI2023

Association Between Online Reviews of Substance Use Disorder Treatment Facilities and Drug-Induced Mortality Rates: Cross-Sectional Analysis.

Matthew P Abrams, Raina M Merchant, Zachary F Meisel, Arthur P Pelullo, Sharath Chandra Guntuku, Anish K Agarwal

Abstract read
In one paragraph

Article in JMIR AI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Matthew P AbramsCenter for Digital Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0001-6059-4857
Raina M MerchantCenter for Digital Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-9801-6881
Zachary F MeiselCenter for Emergency Care Policy and Research, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0001-8474-7993
Arthur P PelulloCenter for Digital Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-3667-4301
Sharath Chandra GuntukuCenter for Digital Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-2929-0035
Anish K AgarwalCenter for Digital Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0003-2175-0196

Funding

Mentoring and Patient Oriented Research in Cardiovascular Health and Digital Data ScienceK24HL157621 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MERCHANT, RAINA · 2021 to 2025
$615k
Analyzing Online Reviews to Evaluate Quality of Care at Substance Use Disorder Treatment FacilitiesR21DA050761 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI MERCHANT, RAINA · 2020 to 2021
$446k
NHLBI NIH HHS K24 HL157621NIDA NIH HHS R21 DA050761
6 · The paper itself

Abstract

backgroundDrug-induced mortality across the United States has continued to rise. To date, there are limited measures to evaluate patient preferences and priorities regarding substance use disorder (SUD) treatment, and many patients do not have access to evidence-based treatment options. Patients and their families seeking SUD treatment may begin their search for an SUD treatment facility online, where they can find information about individual facilities, as well as a summary of patient-generated web-based reviews via popular platforms such as Google or Yelp. Web-based reviews of health care facilities may reflect information about factors associated with positive or negative patient satisfaction. The association between patient satisfaction with SUD treatment and drug-induced mortality is not well understood.

objectiveThe objective of this study was to examine the association between online review content of SUD treatment facilities and drug-induced state mortality.

methodsA cross-sectional analysis of online reviews and ratings of Substance Abuse and Mental Health Services Administration (SAMHSA)-designated SUD treatment facilities listed between September 2005 and October 2021 was conducted. The primary outcomes were (1) mean online rating of SUD treatment facilities from 1 star (worst) to 5 stars (best) and (2) average drug-induced mortality rates from the Centers for Disease Control and Prevention (CDC) WONDER Database (2006-2019). Clusters of words with differential frequencies within reviews were identified. A 3-level linear model was used to estimate the association between online review ratings and drug-induced mortality.

resultsA total of 589 SAMHSA-designated facilities (n=9597 reviews) were included in this study. Drug-induced mortality was compared with the average. Approximately half (24/47, 51%) of states had below average ("low") mortality rates (mean 13.40, SD 2.45 deaths per 100,000 people), and half (23/47, 49%) had above average ("high") drug-induced mortality rates (mean 21.92, SD 3.69 deaths per 100,000 people). The top 5 themes associated with low drug-induced mortality included detoxification and addiction rehabilitation services (r=0.26), gratitude for recovery (r=-0.25), thankful for treatment (r=-0.32), caring staff and amazing experience (r=-0.23), and individualized recovery programs (r=-0.20). The top 5 themes associated with high mortality were care from doctors or providers (r=0.24), rude and insensitive care (r=0.23), medication and prescriptions (r=0.22), front desk and reception experience (r=0.22), and dissatisfaction with communication (r=0.21). In the multilevel linear model, a state with a 10 deaths per 100,000 people increase in mortality was associated with a 0.30 lower average Yelp rating (P=.005).

conclusionsLower online ratings of SUD treatment facilities were associated with higher drug-induced mortality at the state level. Elements of patient experience may be associated with state-level mortality. Identified themes from online, organically derived patient content can inform efforts to improve high-quality and patient-centered SUD care.

Indexed as

addictioncommunicationdatabasedetoxificationdigital healthdrug-induced mortalitydrug usemortalityonline reviewonline reviewsopioid use disorderpatient-centeredpatient-centered carerehabilitationsubstance usesubstance use disordersubstance use disorder treatmenttreatment

Identifiers

PMID38875553
PMCPMC11041514

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.