Evidence map›Paper›PMID 36685008›Full record

ArticleInternational journal of telemedicine and applications2023

Musculoskeletal Telemedicine Trends Preceding the COVID-19 Pandemic and Potential Implications of Rapid Telemedicine Expansion.

Sara N Kiani, Logan D Cho, Jashvant Poeran, Lauren Wilson, Haoyan Zhong, Madhu Mazumdar, Jiabin Liu, Alejandro Gonzalez Della Valle, Stavros G Memtsoudis

Open access · goldAbstract read
In one paragraph

Article in International journal of telemedicine and applications, 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
1.4field-weighted citation impact, top 20% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Experiences on the Utility and Barriers of Telemedicine in Healthcare Delivery in Kenya.International journal of telemedicine and applications · 2023
    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

9 authors at 2 institutions in 2 countries.

Sara N KianiDepartment of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0002-3200-9398
Logan D ChoDepartment of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0003-1134-6632
Jashvant PoeranInstitute for Healthcare Delivery Science, Department of Population Health Science and Policy, USA.ORCID https://orcid.org/0000-0001-7058-5102
Lauren WilsonDepartment of Anesthesiology, Critical Care & Pain Management, Hospital for Special Surgery, New York, NY, USA.
Haoyan ZhongDepartment of Anesthesiology, Critical Care & Pain Management, Hospital for Special Surgery, New York, NY, USA.
Madhu MazumdarDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA.
Jiabin LiuDepartment of Anesthesiology, Critical Care & Pain Management, Hospital for Special Surgery, New York, NY, USA.ORCID https://orcid.org/0000-0002-1029-2786
Alejandro Gonzalez Della ValleDepartment of Orthopedics, Hospital for Special Surgery, New York, NY, USA.
Stavros G MemtsoudisDepartment of Anesthesiology, Critical Care & Pain Management, Hospital for Special Surgery, New York, NY, USA.ORCID https://orcid.org/0000-0001-9093-0030
Hospital for Special Surgery · USIcahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Telemedicine was rapidly deployed at the onset of the COVID-19 pandemic. Little has been published on telemedicine in musculoskeletal care prior to the COVID-19 pandemic. This study is aimed at characterizing trends in telemedicine for musculoskeletal care preceding the COVID-19 pandemic. Methods: This retrospective study used insurance claims from the Truven MarketScan database. Musculoskeletal-specific outpatient visits from 2014 to 2018 were identified using the musculoskeletal major diagnostic category ICD-10 codes. Telemedicine visits were categorized using CPT codes and Healthcare Common Procedure Coding Systems. We described annual trends in telemedicine in the overall dataset and by diagnosis grouping. Multivariable logistic regression modeling estimated the association between patient-specific and telemedicine visit variables and telemedicine utilization. Results: There were 36,672 musculoskeletal-specific telemedicine visits identified (0.020% of all musculoskeletal visits). Overall, telemedicine utilization increased over the study period (0% in 2014 to 0.05% in 2018). Orthopedic surgeons had fewer telemedicine visits than primary care providers (OR 0.57, 95% CI 0.55-0.59). The proportion of unique patients utilizing telemedicine in 2018 was higher in the south (OR 2.28, 95% CI 2.19-2.38) and west (OR 5.58, 95% CI 5.36-5.81) compared to the northeast. Those with increased comorbidities and lower incomes and living in rural areas had lower rates of telemedicine utilization. Conclusions: From 2014 to 2018, there was an increase in telemedicine utilization for musculoskeletal visits, in part due to insurance reimbursement and telemedicine regulation. Despite this increase, the rates of telemedicine utilization are still lowest in some of the groups that could derive the most benefit from these services. Establishing this baseline is important for assessing how the roll-out of telemedicine during the pandemic impacted how/which patients and providers are utilizing telemedicine today.

Identifiers

PMID36685008
PMCPMC9848805
OpenAlexW4315631466

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.