Literature DB >> 34726502

Age and Racial Disparities in Telemedicine Utilization in an Academic Orthopedic Surgery Department.

Akshaya V Annapragada1, Prashant Meshram2, Sabrina G Jenkins2, Amit Jain2, Kellie K Middleton3, Savya C Thakkar2, Adam S Levin2, Uma Srikumaran2.   

Abstract

Introduction: The COVID-19 pandemic has highlighted significant racial and age-related health disparities. In response to pandemic-related restrictions, orthopedic surgery departments have expanded telemedicine use. We analyzed data from a tertiary care institute during the pandemic to understand potential racial and age-based disparities in access to care and telemedicine utilization. Materials and
Methods: Data on patient race and age, and numbers of telemedicine visits, in-person office visits, and types of telemedicine were extracted for time periods during and preceding the pandemic. We calculated odds ratios for visit occurrence and type across race and age groups.
Results: Patients ages 27-54 were 1.3 (95% confidence interval [CI] 1.1-1.4, p < 0.01) and 1.2 (95% CI 1.0-1.3, p < 0.05) times more likely to be seen than patients <27 during the pandemic, versus the 2019 and 2020 controls. Patients 54-82 were 1.3 (95% CI 1.1-1.5, p < 0.001) times more likely to be seen than patients <27 during the pandemic versus the 2019 control. Patients 27-54, 54-82, and 82+, respectively, were 3.3 (95% CI 2.6-4.2, p < 1e-20), 3.5 (95% CI 2.8-4.4, p < 1e-24), and 1.9 (95% CI 1.1-3.4, p < 0.05) times more likely to be seen by telemedicine than patients <27. Among pandemic telemedicine appointments, Black patients were 1.5 (95% CI 1.2-1.9, p < 1e-3) times more likely to be seen by audio-only telemedicine than White patients, as compared with video telemedicine. Conclusions: Telemedicine access barriers must be reduced to ensure that disparities during the pandemic do not persist.

Entities:  

Keywords:  COVID-19; age disparities; orthopedics; racial disparities; telehealth; telemedicine

Mesh:

Year:  2021        PMID: 34726502      PMCID: PMC9469740          DOI: 10.1089/tmj.2021.0330

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   5.033


  19 in total

1.  Telemedicine in Orthopaedic Surgery: Challenges and Opportunities.

Authors:  Melvin C Makhni; Grant J Riew; Marissa G Sumathipala
Journal:  J Bone Joint Surg Am       Date:  2020-07-01       Impact factor: 5.284

2.  Racial and Ethnic Health Disparities Related to COVID-19.

Authors:  Leo Lopez; Louis H Hart; Mitchell H Katz
Journal:  JAMA       Date:  2021-02-23       Impact factor: 56.272

3.  Teleophthalmology in the Era of COVID-19: Characteristics of Early Adopters at a Large Academic Institution.

Authors:  Ugochi T Aguwa; Chibuzo J Aguwa; Michael Repka; Uma Srikumaran; Fasika Woreta; Eric L Singman; Sabrina G Jenkins; Divya Srikumaran
Journal:  Telemed J E Health       Date:  2020-10-16       Impact factor: 3.536

4.  Assessing Telemedicine Unreadiness Among Older Adults in the United States During the COVID-19 Pandemic.

Authors:  Kenneth Lam; Amy D Lu; Ying Shi; Kenneth E Covinsky
Journal:  JAMA Intern Med       Date:  2020-10-01       Impact factor: 21.873

5.  Variation In Telemedicine Use And Outpatient Care During The COVID-19 Pandemic In The United States.

Authors:  Sadiq Y Patel; Ateev Mehrotra; Haiden A Huskamp; Lori Uscher-Pines; Ishani Ganguli; Michael Lawrence Barnett
Journal:  Health Aff (Millwood)       Date:  2021-02       Impact factor: 6.301

6.  Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic.

Authors:  Lauren A Eberly; Michael J Kallan; Howard M Julien; Norrisa Haynes; Sameed Ahmed M Khatana; Ashwin S Nathan; Christopher Snider; Neel P Chokshi; Nwamaka D Eneanya; Samuel U Takvorian; Rebecca Anastos-Wallen; Krisda Chaiyachati; Marietta Ambrose; Rupal O'Quinn; Matthew Seigerman; Lee R Goldberg; Damien Leri; Katherine Choi; Yevginiy Gitelman; Daniel M Kolansky; Thomas P Cappola; Victor A Ferrari; C William Hanson; Mary Elizabeth Deleener; Srinath Adusumalli
Journal:  JAMA Netw Open       Date:  2020-12-01

7.  Factors Driving Rapid Adoption of Telemedicine in an Academic Orthopedic Surgery Department.

Authors:  Akshaya V Annapragada; Sabrina G Jenkins; Annika L Chang; Amit Jain; Divya Srikumaran; Uma Srikumaran
Journal:  Telemed J E Health       Date:  2021-06-15       Impact factor: 3.536

8.  The Effect of Age on Mortality in Patients With COVID-19: A Meta-Analysis With 611,583 Subjects.

Authors:  Clara Bonanad; Sergio García-Blas; Francisco Tarazona-Santabalbina; Juan Sanchis; Vicente Bertomeu-González; Lorenzo Fácila; Albert Ariza; Julio Núñez; Alberto Cordero
Journal:  J Am Med Dir Assoc       Date:  2020-05-25       Impact factor: 4.669

9.  Delay or Avoidance of Medical Care Because of COVID-19-Related Concerns - United States, June 2020.

Authors:  Mark É Czeisler; Kristy Marynak; Kristie E N Clarke; Zainab Salah; Iju Shakya; JoAnn M Thierry; Nida Ali; Hannah McMillan; Joshua F Wiley; Matthew D Weaver; Charles A Czeisler; Shantha M W Rajaratnam; Mark E Howard
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-09-11       Impact factor: 17.586

Review 10.  Telemedicine: Is It a Tool for Orthopedics?

Authors:  Noel Oizerovici Foni; Lauro Augusto Veloso Costa; Leandro Manuel Reis Velloso; Carlos Henrique Sartorato Pedrotti
Journal:  Curr Rev Musculoskelet Med       Date:  2020-10-29
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  1 in total

1.  Telehealth Utilization Among Surgical Oncology Patients at a Large Academic Cancer Center.

Authors:  Alessandro Paro; Daniel R Rice; J Madison Hyer; Elizabeth Palmer; Aslam Ejaz; Chanza Fahim Shaikh; Timothy M Pawlik
Journal:  Ann Surg Oncol       Date:  2022-07-27       Impact factor: 4.339

  1 in total

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