Evidence map›Paper›PMID 31316251›Full record

ArticleJournal of clinical orthopaedics and trauma

How wait-times, social media, and surgeon demographics influence online reviews on leading review websites for joint replacement surgeons.

Dhanur Damodar, Chester J Donnally, Johnathon R McCormick, Deborah J Li, Giuseppe V Ingrasci, Martin W Roche, Rushabh M Vakharia, Tsun Y Law, Victor H Hernandez

Abstract read
In one paragraph

Article in Journal of clinical orthopaedics and trauma. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Social Media Use by American Association of Hip and Knee Surgeons Members.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. What Affects an Orthopaedic Surgeon's Online Rating? A Large-Scale, Retrospective Analysis.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2022
    Article
  8. Article
  9. Article
  10. Review
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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

9 authors.

Dhanur DamodarUniversity of Miami Hospital, Department of Orthopaedic Surgery, 1400 N.W. 12th Ave, Miami, FL, 33136, USA.
Chester J DonnallyUniversity of Miami Hospital, Department of Orthopaedic Surgery, 1400 N.W. 12th Ave, Miami, FL, 33136, USA.
Johnathon R McCormickThe University of Miami Leonard M. Miller School of Medicine, Department of Education, 1600 NW 10th Ave #1140, Miami, FL, 33136, USA.
Deborah J LiThe University of Miami Leonard M. Miller School of Medicine, Department of Education, 1600 NW 10th Ave #1140, Miami, FL, 33136, USA.
Giuseppe V IngrasciThe University of Miami Leonard M. Miller School of Medicine, Department of Education, 1600 NW 10th Ave #1140, Miami, FL, 33136, USA.
Martin W RocheHoly Cross Hospital, Department of Orthopaedic Surgery, Fort Lauderdale, FL, 33136, USA.
Rushabh M VakhariaHoly Cross Hospital, Department of Orthopaedic Surgery, Fort Lauderdale, FL, 33136, USA.
Tsun Y LawHoly Cross Hospital, Department of Orthopaedic Surgery, Fort Lauderdale, FL, 33136, USA.
Victor H HernandezUniversity of Miami Hospital, Department of Orthopaedic Surgery, 1400 N.W. 12th Ave, Miami, FL, 33136, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWith the growth and popularity of the internet, physician review websites are being utilized more frequently by patients to learn about and ultimately select their provider. These sites allow patients to comment on the care they received in a public forum for others to see. With outcome and "quality" measures being used to dictate reimbursement formulas; online patient reviews may affect a physician's compensation in the near future. Therefore, it is of paramount importance for physicians to understand how best to portray themselves on social media and other internet sites.

methodsIn this retrospective study, we identified 145 arthroplasty surgeons via the AAHKS database. Then, surgeon data was collected from Healthgrades (HG) and Vitals (V). We identified if the surgeon had social media (SM) accounts by using google search. The number of ratings and comments, overall rating, reported wait-times and physician SM presence were analyzed with univariate, bivariate and multivariate analyses.

results64% of surgeons had a SM presence, and younger surgeons with SM had lower distribution of wait-times. A SM presence correlated with significantly higher frequency of total ratings and comments. Both review sites showed that younger physicians with a SM presence had increased frequency of ratings and comments and a quicker office wait-times. SM presence did not impact the overall scores on either website.

conclusionHaving SM presence is correlated with increased number of ratings and comments on physician review sites, possibly revealing an increased likelihood of these physicians encouraging their patients to engage with them via the internet. SM presence did not correlate with higher review scores, displaying that there are many complex factors that go into a physician score outside of SM and internet appearance. Future studies should explore patient comments on these sites to understand additional factors that may optimize a patient's experience.

Indexed as

HealthgradesJoint arthroplastyOnline reviewsPatient outcomesQuality improvementSocial mediaVitals

Identifiers

PMID31316251
PMCPMC6611840

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.