ArticleBMC health services research2019
Social media ratings of nursing homes associated with experience of care and "Nursing Home Compare" quality measures.
Article in BMC health services research, 2019. 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, 15 citations in OpenAlex.
- User-Generated Google Maps Ratings, State Staffing and Training Regulations, and the Quality of Hospice Care in Assisted Living Communities.Journal of the American Geriatrics Society · 2026Article
- Web-Based Public Reporting as a Decision-Making Tool for Consumers of Long-Term Care in the United States and the United Kingdom: Systematic Analysis of Report Cards.JMIR formative research · 2023Article
- Citation Network Analysis of Nurse Staffing Research from the Past Two Decades: 2000-2022.Healthcare (Basel, Switzerland) · 2023Article
- Online Customer Reviews of Assisted Living Communities: Association with Community, County, and State Factors.Journal of the American Medical Directors Association · 2023Observational
- Are online reviews of assisted living communities associated with patient-centered outcomes?Journal of the American Geriatrics Society · 2023Article
- Correlations between care users' and the healthcare inspectorate's ratings of the quality of care in long-term care homes.BMJ open quality · 2023Article
- Nursing Homes: Affiliation to Large Chains, Quality and Public-Private Collaboration.Healthcare (Basel, Switzerland) · 2022Article
- Patient Satisfaction and Hospital Quality of Care Evaluation in Malaysia Using SERVQUAL and Facebook.Healthcare (Basel, Switzerland) · 2021Article
- Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews.International journal of environmental research and public health · 2021Article
- Seniors don't use Medicare.Gov: how do eligible beneficiaries obtain information about Medicare Advantage Plans in the United States?BMC health services research · 2021Article
- Patient and Caregiver Perceptions of Nursing Home Physicians: Insight from Yelp Reviews, 2009-2018.Journal of the American Geriatrics Society · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSocial media platforms offer unique opportunities for patients and families to provide real-time feedback on their healthcare experiences. Consumer-generated social media ratings of hospitals tend to reflect the more subjective aspects of inpatient care experiences; however, evidence on nursing home care is extremely limited.
methodsWe collected consumer-reported 5-star ratings of Maryland nursing homes posted from July 2015 to July 2017 on 4 popular social media or online review sites (Facebook, Yelp, Google Consumer Reviews, and Caring.com). We determined if the average score of social media ratings was associated with experience-of-care ratings derived from survey of family members or other responsible parties of nursing home residents, and with "Nursing Home Compare" (NHC) 5-star ratings and individual quality measures.
resultsOne hundred ninety-six out of 206 nursing homes in Maryland were reviewed on at least one site and thus had one or more star ratings posted. The overall ratings were 3.11 on average on these sites and 3.03 on the NHC website, with a Pearson correlation of 0.41 (p < 0.001) between the 2 sets of ratings. The correlations between the social media rating and survey-based experience-of-care ratings ranged from 0.40 to 0.60, and the correlations between the social media rating and individual NHC quality measures of citations, nurse staffing, and complaints were about 0.35 (in absolute values). The social media rating also predicted well NHC and experience-of-care measures after adjusting for nursing home covariates and market competition.
conclusionsThe 5-star ratings collected from 4 social networking sites was correlated with and predictive of the NHC and survey-based experience-of-care measures for Maryland nursing homes.
Indexed as
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.