Skip to main content

Main menu

  • Online first
    • Online first
  • Current issue
    • Current issue
  • Archive
    • Archive
  • Submit a paper
    • Online submission site
    • Information for authors
  • About the journal
    • About the journal
    • Editorial board
    • Information for authors
    • FAQs
    • Thank you to our reviewers
      • Thank you to our reviewers
    • American Federation for Medical Research
  • Help
    • Contact us
    • Feedback form
    • Reprints
    • Permissions
    • Advertising
  • BMJ Journals

User menu

  • Login

Search

  • Advanced search
  • BMJ Journals
  • Login
  • Facebook
  • Twitter
JIM

Advanced Search

  • Online first
    • Online first
  • Current issue
    • Current issue
  • Archive
    • Archive
  • Submit a paper
    • Online submission site
    • Information for authors
  • About the journal
    • About the journal
    • Editorial board
    • Information for authors
    • FAQs
    • Thank you to our reviewers
    • American Federation for Medical Research
  • Help
    • Contact us
    • Feedback form
    • Reprints
    • Permissions
    • Advertising

Temporal trends and disparities in gastroenterology care use before, during, and after COVID-19 lockdown

Harsha Sanaka, Rajat Garg, Vidhi Patel, John McMichael, Carole Macaron
DOI: 10.1136/jim-2022-002398 Published 1 December 2022
Harsha Sanaka
1 Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rajat Garg
1 Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vidhi Patel
1 Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
John McMichael
1 Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
2 Department of General Surgery, Cleveland Clinic, Cleveland, Ohio, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carole Macaron
1 Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Carole Macaron
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1

    Visit distribution during the three study periods.

Tables

  • Figures
  • Table 1

    Temporal trends in patient characteristics and patient visits

    Factor2019 (n=17,335)2020 (n=13,339)2021 (n=16,357)P value (overall)
    Age (years) (mean±SD)57.9 ± 17.2*†table55.5±17.6*55.2±17.8†<0.001
    Age ≥65 years, n (%)6995 (40.1)*†4648 (34.8)*5755 (35.2)†<0.001
    Sex, n (%)<0.001
     Male6692 (38.6)†5229 (39.2)‡5994 (36.6)†
     Female10,643 (61.4)8110 (60.8)10,363 (63.4)
    Race, n (%)<0.001
     White13,472 (77.8)*†10,072 (75.6)*‡12 359 (75.6)†‡
     Black2362 (13.6)2094 (15.7)2345 (14.3)
     Hispanic638 (3.7)478 (3.6)677 (4.1)
     Others838 (4.8)683 (5.1)967 (5.9)
    Type of insurance, n (%)<0.001
     Medicare3879 (22.9)*†2762 (21.2)*‡3033 (18.9)†‡
     Medicaid and other public2420 (14.3)2348 (18)2649 (16.5)
     Private10,416 (61.6)7805 (59.8)10,195 (63.4)
     No insurance203 (1.2)136 (1)200 (1.2)
    Median household income by zip code (by quartile), n (%)<0.001
     Lowest4107 (23.7)*†3639 (27.3)*‡3879 (23.7)†‡
     Second4410 (25.4)3334 (25)4047 (24.7)
     Third4557 (26.3)3207 (24)4082 (25)
     Highest4260 (24.6)3158 (23.7)4348 (26.6)
    Employment status, n (%)<0.001
     Employed6518 (37.6)*†5002 (37.6)*‡1,2 6582 (40.3)†‡
     Unemployed6847 (39.5)5545 (41.7)6350 (38.8)
     Retired3718 (21.5)2440 (18.4)3039 (18.6)
     Unknown248 (1.4)307 (2.3)381 (2.3)
    Type of visit, n (%)<0.001
     In-person17 247 (99.5)*†3664 (27.3%)*‡12 522 (76.6%)†‡
     Video38 (0.2)3029 (22.7%)2856 (17.5%)
     Phone50 (0.3)6666 (50%)979 (6%)
    Visit status, n (%)<0.001
     Completed16,600 (95.8)*11,999 (90)*14 664 (89.6)‡
     Missed751 (4.2)1340 (10)1693 (10.4)
    Marital status, n (%)<0.001
     Married8790 (50.7)*†6272 (47)*‡7966 (48.7)†‡
     Single8305 (47.9)6879 (51.6)8175 (50)
     Unknown239 (1.4)188 (1.4)216 (1.3)
    H/o tobacco use1958 (11.4)*†2094 (15.9)*2607 (16.1)‡<0.001
    H/o alcohol use6401 (38.6%)*†5832 (45.5%)*‡8016 (50.9%)†‡<0.001
    H/o illicit drug use579 (3.5)*†747 (5.8)*‡1683 (10.7)†‡<0.001
    Primary language, n (%)<0.001
     English16,916 (97.6)*†13,009 (97.5)*‡16,069 (98.2)†‡
     Spanish180 (1)180 (1.3)117 (0.7)
     Other languages239 (1.4)150 (1.1)171 (1)
    • Missing values: race=46; insurance=985.

    • *Significant difference between 2019 and 2020.

    • †Significant difference between 2020 and 2021.

    • ‡Significant difference between 2019 and 2021.

    • H/o, history of.

  • Table 2

    Patient characteristics associated with video visits

    FactorVideo
    (N=5352)
    Other visits
    (N=37,911)
    P valueAdjusted OR for video visits (95% CI)P value
    Age (years) (mean±SD)51.8±17.357.3±17.4<0.0010.98 (0.98 to 0.98) for every 1 year increase in age<0.001
    Age ≥65 years, n (%)1462 (27.3)14,798 (9)<0.001
    Sex, n (%)
     Male1972 (36.8)14,487 (38.2)0.054
     Female3380 (63.2)23,424 (61.8)
    Race, n (%)<0.001
     White4265 (79.7)29,167 (77)Reference
     Black645 (12.1)5348 (14.1)0.9 (0.82 to 0.99)0.048
     Hispanic128 (2.4)1449 (3.8)0.64 (0.53 to 0.78)<0.001
     Others310 (5.8)1910 (5)1.02 (0.89 to 1.17)0.74
    Type of insurance, n (%)
     Private3616 (68.5)22,845 (61.6)<0.001Reference
     Medicare834 (15.8)8147 (22)0.92 (0.84 to 1.01)0.09
     Medicaid and other public775 (14.7)5658 (15.3)0.86 (0.78 to 0.94)0.002
     No insurance57 (1.1%)447 (1.2)0.81 (0.61 to 1.08)0.159
    Median household income by zip code (by quartile), n (%)
     Lowest1146 (21.4)9160 (24.2)<0.001Reference
     Second1200 (22.4)9498 (25.1)0.95 (0.87 to 1.05)0.37
     Third1541 (28.8)9641 (25.4)1.20 (1.09 to 1.32)<0.001
     Highest1464 (27.4)9595 (25.83)1.12 (1.02 to 1.23)0.015
    Employment status, n (%)
     Employed1850 (34.6)14,346 (37.9)<0.001Reference
     Unemployed2522 (47.1)14,933 (39.4)0.85 (0.79 to 0.92)<0.001
     Retired827 (15.5)7882 (20.8)0.97 (0.88 to 1.08)0.64
     Unknown158 (2.8)700 (1.8)1.06 (0.84 to 1.33)0.6
    Marital status, n (%)
     Married2608 (48.7)18,855 (49.7)0.38
     Single2668 (49.9)18,538 (48.9)
     Others76 (1.4)517 (1.4)
    H/o tobacco use, n (%)707 (13.5)5196 (13.8)0.52
    H/o alcohol use, n (%)2515 (49.5)16,179 (44.4)<0.0011.15 (1.08 to 1.22)<0.001
    H/o illicit drug use, n (%)390 (7.2)2267 (6.2)<0.0011.24 (1.10 to 1.40)<0.001
    Primary language, n (%)
     English5277 (98.6)37,078 (97.8)0.001Reference
     Spanish35 (0.7)378 (1)0.94 (0.64 to 1.37)0.75
     Other languages40 (0.7)455 (1.2)0.7 (0.5 to 0.99)0.049
  • Table 3

    Patient characteristics associated with telephone visits

    FactorTelephone (N=6921)Other visits (N=36,324)P valueAdjusted OR for telephone visits (95% CI)P value
    Age (years), mean±SD56.1±17.256.6±17.50.031.0 (0.99 to 1.002) for every 1 year increase in age0.76
    Age ≥65 years, n (%)2444 (35.3)13,816 (38)<0.001
    Sex, n (%)
     Male2611 (37.7)13,848 (38.1)0.52
     Female4313 (62.3)22,491 (61.9)
    Race, n (%)
     White5299 (76.6)28,133 (77.5)0.002Reference
     Black1051 (15.2)4642 (13.6)0.96 (0.88 to 1.04)0.36
     Hispanic241 (3.5)1336 (3.7)0.79 (0.68 to 0.92)0.002
     Others327 (4.2)1893 (5.2)0.86 (0.76 to 0.98)0.018
    Type of insurance, n (%)
     Private4010 (59.3)22,451 (63)<0.001Reference
     Medicaid and other public1228 (18.2)5205 (14.6)1.13 (1.04 to 1.22)0.003
     Medicare1448 (21.4)7533 (21.2)1.05 (0.97 to 1.12)0.19
     No insurance78 (1.2)426 (1.2)1.08 (0.84 to 1.37)0.57
    Median household income by zip code (by quartile), n (%)
     Lowest2020 (29.2)8301 (22.85)<0.001Reference
     Second1696 (24.5)9002 (24.8)0.79 (0.73 to 0.86)<0.001
     Third1582 (22.8)9600 (26.4)0.72 (0.66 to 0.78)<0.001
     Highest1626 (23.5)9433 (26)0.76 (0.71 to 0.82)<0.001
    Employment status, n (%)
     Employed2467 (35.9)14,401 (39.6)<0.001Reference
     Unemployed2965 (43.1)13,818 (38)1.17 (1.1 to 1.25)<0.001
     Retired1249 (18.2)7460 (20.5)0.97 (0.89 to 1.06)0.58
     Unknown198 (2.9)654 (1.8%)1.47 (1.22 to 1.77)<0.001
    Marital status
     Married3293 (47.6)18,170 (50)0.001Reference
     Single3528 (51%)17,678 (48.6)1.02 (0.97 to 1.08)0.44
     Others103 (1.5%)490 (1.3)1.08 (0.86 to 1.35)0.51
    H/o tobacco use1086 (15.9)4817 (13.4)<0.0011.11 (1.03 to 1.2)0.004
    H/o alcohol use2971 (44.85)15 723 (45)0.16
    H/o illicit drug use432 (6.5)2225 (6.4)0.84
    Primary language
     English6755 (97.6)35,600 (98)0.002Reference
     Spanish92 (1.3)321 (0.9)1.40 (1.08 to 1.81)0.009
     Other languages77 (1.1)418 (1.2)0.89 (0.69 to 1.16)0.4
  • Table 4

    Patient characteristics associated with in-person visits

    FactorIn-person visits (N=30,987)Other visits (N=12,276)P valueAdjusted OR In-person visits (95% CI)P value
    Age (years), mean±SD57.5±17.454.3±17.4<0.0011.01 (1.008 to 1.012) for every 1 year increase in age<0.001
    Age ≥65 years, n (%)12 354 (39.9)3906 (31.8)<0.001
    Sex, n (%)0.055
     Male11,876 (38.3)4583 (37.3)
     Female19,111 (61.7)7693 (62.7)
    Race, n (%)<0.001
     White23,868 (77.1)9564 (78)Reference
     Black4297 (13.9)1696 (13.8)1.08 (1.008 to 1.15)0.029
     Hispanic1208 (3.9)369 (3.0)1.43 (1.26 to 1.63)<0.001
     Others1583 (5.1)637 (5.2)1.09 (0.98 to 1.21)0.093
    Type of insurance
     Private18,835 (62.1)7626 (63.3)<0.001Reference
     Medicare6699 (22.1)2282 (18.9)1.001 (0.94 to 1.06)0.96
     Medicaid and other public4430 (14.6)2003 (16.6)0.99 (0.93 to 1.06)0.87
     No insurance369 (1.2)135 (1.1)1.07 (0.88 to 1.31)0.5
    Median household Income by zip code (by quartile), n (%)
     Lowest7155 (23.1)3166 (25.8)<0.001Reference
     Second7802 (25.2)2896 (23.6)1.19 (1.11 to 1.27)<0.001
     Third8059 (26)3123 (25.4)1.13 (1.06 to 1.21)<0.001
     Highest7969 (25.7)3090 (25.2)1.14 (1.07 to 1.22)<0.001
    Employment status, n (%)
     Employed11,879 (38.3)4989 (40.8)<0.001Reference
     Unemployed11,968 (38.6)4815 (39.4)0.96 (0.91 to 1.02)0.19
     Retired6633 (21.4)2076 (17)1.03 (0.96 to 1.11)0.35
     Unknown502 (1.6)350 (2.9)0.74 (0.62 to 0.87)<0.001
    Marital status
     Married15,562 (50.2)5901 (48.1)<0.001Reference
     Single15,010 (48.4)6196 (50.5)0.94 (0.90 to 0.98)0.012
     Others414 (1.3)179 (1.5)0.88 (0.73 to 1.07)0.21
    H/o tobacco use4110 (13.3)1793 (14.9)<0.0010.93 (0.86 to 0.99)0.041
    H/o alcohol use13,208 (44.3)5486 (46.9)<0.0010.89 (0.86 to 0.94)<0.001
    H/o illicit drug use1835 (6.1)822 (7)<0.0010.94 (0.86 to 1.03)0.24
    Primary language
     English30,323 (97.9)12,032 (98)0.036Reference
     Spanish286 (0.9)127 (1)0.73 (0.58 to 0.93)0.01
     Other languages378 (1.2)117 (1)1.26 (1.005 to 1.58)0.045
  • Table 5

    Patient characteristics associated with missed visits

    FactorMissed
    (N=3768)
    Completed (N=43,263)P valueAdjusted OR for
    missed visits (95% CI)
    P value
    Age (years), mean±SD52.9±17.856.6±17.5<0.0010.99 (0.98 to 0.99) for every 1 year increase in age<0.001
    Age ≥65 years, n (%)1098 (29.1)16,260 (37.6)<0.001
    Sex, n (%)0.46
     Male1456 (38.6)16,459 (38)
     Female2312 (61.4)26,804 (62)
    Race, n (%)<0.001
     White2471 (65.7)33,432 (77.3)Reference
     Black808 (21.5)5993 (13.9)1.42 (1.29 to 1.57)<0.001
     Hispanic216 (5.7%)1577 (3.6)1.34 (1.13 to 1.57)<0.001
     Others268 (7.1%)2220 (5.1)1.44 (1.25 to 1.66)<0.001
    Type of insurance, n (%)
     Private1955 (53.3)26 461 (62.4)<0.001Reference
     Medicare693 (18.9)8981 (21.2)1.05 (0.95 to 1.16)0.29
     Medicaid and other public984 (26.8)6433 (15.2)1.35 (1.23 to 1.48)<0.001
     No insurance35 (1)504 (1.2)1.04 (0.73 to 1.47)0.81
    Median household income by zip code (by quartile), n (%)
     Lowest1304 (34.6)10,321 (23.9)<0.001Reference
     Second1093 (29)10,698 (24.7)1.02 (0.92 to 1.12)0.64
     Third664 (17.6)11,182 (25.8%)0.64 (0.58 to 0.72)<0.001
     Highest707 (18.8%)11,059 (25.6%)0.71 (0.63 to 0.79)<0.001
    Employment status, n (%)
     Employed1234 (32.8)16,868 (39)<0.001Reference
     Unemployed1959 (52)16.783 (38.8)1.45 (1.33 to 1.58)<0.001
     Retired488 (13)8709 (20.2)0.99 (0.88 to 1.13)0.99
     Unknown84 (2.2)852 (2)0.98 (0.73 to 1.30)0.88
    Marital status
     Married1565 (41.5)21,463 (49.6)<0.001Reference
     Single2153 (57.1)21,206 (49)1.09 (1.01 to 1.17)0.023
     Others50 (1.3)593 (1.4)0.94 (0.68 to 1.29)0.71
    H/o tobacco use756 (20.4)5903 (13.8)<0.0011.23 (1.12 to 1.35)<0.001
    H/o alcohol use1555 (43.2)18,694 (45)0.074
    H/o illicit drug use352 (9.7)2657 (6.4)<0.0011.14 (1.01 to 1.29)0.03
    Primary language
     English3639 (96.6)42 355 (97.9)<0.001Reference
     Spanish64 (1.7%)413 (1.0)1.20 (0.89 to 1.63)0.21
     Other65 (1.7)495 (1.1)1.37 (1.03 to 1.82)0.028
PreviousNext
Back to top
Vol 70 Issue 8 Table of Contents
Journal of Investigative Medicine: 70 (8)
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Front Matter (PDF)
Email

Thank you for your interest in spreading the word on JIM.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Temporal trends and disparities in gastroenterology care use before, during, and after COVID-19 lockdown
(Your Name) has sent you a message from JIM
(Your Name) thought you would like to see the JIM web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
Alerts
Sign In to Email Alerts with your Email Address
Citation Tools
Temporal trends and disparities in gastroenterology care use before, during, and after COVID-19 lockdown
Harsha Sanaka, Rajat Garg, Vidhi Patel, John McMichael, Carole Macaron
Journal of Investigative Medicine Dec 2022, 70 (8) 1704-1712; DOI: 10.1136/jim-2022-002398

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Cite This
  • APA
  • Chicago
  • Endnote
  • MLA
Loading
Temporal trends and disparities in gastroenterology care use before, during, and after COVID-19 lockdown
Harsha Sanaka, Rajat Garg, Vidhi Patel, John McMichael, Carole Macaron
Journal of Investigative Medicine Dec 2022, 70 (8) 1704-1712; DOI: 10.1136/jim-2022-002398
Download PDF

Share
Temporal trends and disparities in gastroenterology care use before, during, and after COVID-19 lockdown
Harsha Sanaka, Rajat Garg, Vidhi Patel, John McMichael, Carole Macaron
Journal of Investigative Medicine Dec 2022, 70 (8) 1704-1712; DOI: 10.1136/jim-2022-002398
Reddit logo Twitter logo Facebook logo Mendeley logo
Respond to this article
  • Tweet Widget
  • Facebook Like
  • Google Plus One
  • Article
    • Abstract
    • Introduction
    • Materials and methods
    • Results
    • Discussion
    • Data availability statement
    • Ethics statements
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Bronchodilatory effect of higenamine as antiallergic asthma treatment
  • Evaluating reporting of patient-reported outcomes in randomized controlled trials regarding inflammatory bowel disease: a methodological study
  • Effects of statins on outcomes in Hispanic patients with COVID-19
Show more Original research

Similar Articles

 

CONTENT

  • Latest content
  • Current issue
  • Archive
  • Sign up for email alerts
  • RSS

JOURNAL

  • About the journal
  • Editorial board
  • Subscribe
  • Thank you to our reviewers
  • American Federation for Medical Research

AUTHORS

  • Information for authors
  • Submit a paper
  • Track your article
  • Open Access at BMJ

HELP

  • Contact us
  • Reprints
  • Permissions
  • Advertising
  • Feedback form

© 2023 American Federation for Medical Research