Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan

David Chartash, Aidan Gilson, R. Andrew Taylor and Laura C. Hart
The Journal of the American Board of Family Medicine March 2024, 37 (2) 251-260; DOI: https://doi.org/10.3122/jabfm.2023.230221R1
David Chartash
From the Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC, RAT), School of Medicine, University College Dublin - National University of Ireland, Dublin (DC), Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT (AG, RAT), Primary Care Pediatrics, Nationwide Children’s Hospital, Columbus, OH (LCH), Departments of Internal Medicine and Pediatrics, The Ohio State University School of Medicine, Columbus, OH (LCH).
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aidan Gilson
From the Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC, RAT), School of Medicine, University College Dublin - National University of Ireland, Dublin (DC), Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT (AG, RAT), Primary Care Pediatrics, Nationwide Children’s Hospital, Columbus, OH (LCH), Departments of Internal Medicine and Pediatrics, The Ohio State University School of Medicine, Columbus, OH (LCH).
BS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
R. Andrew Taylor
From the Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC, RAT), School of Medicine, University College Dublin - National University of Ireland, Dublin (DC), Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT (AG, RAT), Primary Care Pediatrics, Nationwide Children’s Hospital, Columbus, OH (LCH), Departments of Internal Medicine and Pediatrics, The Ohio State University School of Medicine, Columbus, OH (LCH).
MD, MHS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura C. Hart
From the Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC, RAT), School of Medicine, University College Dublin - National University of Ireland, Dublin (DC), Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT (AG, RAT), Primary Care Pediatrics, Nationwide Children’s Hospital, Columbus, OH (LCH), Departments of Internal Medicine and Pediatrics, The Ohio State University School of Medicine, Columbus, OH (LCH).
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

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

    Heatmaps of the top 10 multimorbidities across the lifespan at selected age groups.

  • Figure 2.
    • Download figure
    • Open in new tab
    Figure 2.

    Sankey diagram showing the 5 most common individual diagnoses within each age category and the flow of patients between diagnoses between age categories.

  • Figure 3.
    • Download figure
    • Open in new tab
    Figure 3.

    Sankey diagram showing the 5 most common multimorbidities present within each age category and the flow of patients between multimorbidity pairs between age categories.

  • Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.
    • Download figure
    • Open in new tab
    Appendix Figure 1.

    Percentage of overall top multimorbidities.

Tables

  • Figures
    • View popup
    Table 1.

    Outcomes for the Overall Population and the Ten Most Common Multimorbidity Combinations

    Overall0-33-66-1010-2020-3030-4040-5050-6060-7070-8080-9090+
    n2,11,95311,8997,3327,43423,23932,32928,88323,71626,75921,94415,0899,5103,819
    Race, n (\%)
     White1,20,323 (56.8)4,683 (39.4)2,671 (36.5)2,838 (38.2)11,835 (51.0)16,383 (50.8)14,529 (50.4)12,670 (53.5)16,395 (61.3)15,365 (70.1)11,644 (77.2)7,905 (83.2)3,405 (89.6)
     Black or African American49,078 (23.2)3,280 (27.6)1,998 (27.3)2,071 (27.9)5,587 (24.1)8,577 (26.6)7,604 (26.4)5,968 (25.2)6,419 (24.0)4,136 (18.9)2,142 (14.2)1,029 (10.8)267 (7.0)
     Other31,189 (14.7)3,056 (25.7)2,068 (28.2)1,952 (26.3)4,346 (18.7)5,232 (16.2)5,020 (17.4)3,769 (15.9)2,822 (10.6)1,640 (7.5)819 (5.4)377 (4.0)88 (2.3)
     Asian5,797 (2.7)499 (4.2)295 (4.0)239 (3.2)672 (2.9)1,319 (4.1)972 (3.4)659 (2.8)503 (1.9)306 (1.4)219 (1.5)95 (1.0)19 (0.5)
     Unknown4,029 (1.9)277 (2.3)242 (3.3)278 (3.7)627 (2.7)558 (1.7)502 (1.7)436 (1.8)432 (1.6)383 (1.7)206 (1.4)71 (0.7)17 (0.4)
     American Indian or Alaska  Native607 (0.3)25 (0.2)17 (0.2)19 (0.3)67 (0.3)95 (0.3)107 (0.4)93 (0.4)84 (0.3)62 (0.3)20 (0.1)17 (0.2)1 (0.0)
     Native Hawaiian or Other  Pacific Islander674 (0.3)62 (0.5)35 (0.5)35 (0.5)76 (0.3)96 (0.3)96 (0.3)100 (0.4)85 (0.3)41 (0.2)35 (0.2)11 (0.1)2 (0.1)
    Gender, n (\%)
     Female1,15,895 (54.7)5,460 (45.9)3,341 (45.6)3,378 (45.4)12,025 (51.7)19,374 (59.9)17,108 (59.2)13,049 (55.0)14,248 (53.2)11,564 (52.7)8,237 (54.6)5,528 (58.1)2,583 (67.6)
     Male96,055 (45.3)6,439 (54.1)3,991 (54.4)4,056 (54.6)11,214 (48.3)12,955 (40.1)11,774 (40.8)10,667 (45.0)12,509 (46.7)10,380 (47.3)6,852 (45.4)3,982 (41.9)1,236 (32.4)
     Unknown3 (0.0)1 (0.0)2 (0.0)
    Chronic disease burden 3, n (\%)
     0 or 1 disease87,166 (41.1)7,487 (62.9)3,887 (53.0)3,923 (52.8)11,606 (49.9)14,963 (46.3)11,813 (40.9)9,216 (38.9)9,540 (35.7)7,186 (32.7)4,465 (29.6)2,357 (24.8)723 (18.9)
     2 diseases (multimorbidity)1,24,787 (58.9)4,412 (37.1)3,445 (47.0)3,511 (47.2)11,633 (50.1)17,366 (53.7)17,070 (59.1)14,500 (61.1)17,219 (64.3)14,758 (67.3)10,624 (70.4)7,153 (75.2)3,096 (81.1)
     Chronic disease burden, mean  (S.D.)3.0 (3.5)1.4 (1.3)1.7 (1.4)1.7 (1.4)1.9 (1.7)2.3 (2.3)2.7 (2.8)3.0 (3.2)3.5 (3.9)4.0 (4.5)4.5 (4.9)5.2 (5.0)5.7 (4.9)
     Chronic disease burden 2,  median [Q1, Q3]2.0 [1.0,4.0]1.0 [1.0,2.0]1.0 [1.0,2.0]1.0 [1.0,2.0]2.0 [1.0,2.0]2.0 [1.0,3.0]2.0 [1.0,3.0]2.0 [1.0,4.0]2.0 [1.0,4.0]3.0 [1.0,5.0]3.0 [1.0,6.0]4.0 [2.0,7.0]4.0 [2.0,8.0]
     Visits Per Year, mean (S.D.)0.3 (0.5)0.2 (0.2)0.3 (0.3)0.3 (0.3)0.2 (0.3)0.3 (0.4)0.3 (0.5)0.4 (0.7)0.4 (0.8)0.4 (0.7)0.4 (0.5)0.3 (0.5)0.3 (0.4)
    Death, n (\%)
     No1,99,930 (94.3)11,867 (99.7)7,321 (99.8)7,416 (99.8)23,166 (99.7)32,106 (99.3)28,500 (98.7)23,069 (97.3)25,228 (94.3)19,749 (90.0)12,535 (83.1)6,704 (70.5)2,269 (59.4)
     Yes12,023 (5.7)32 (0.3)11 (0.2)18 (0.2)73 (0.3)223 (0.7)383 (1.3)647 (2.7)1,531 (5.7)2,195 (10.0)2,554 (16.9)2,806 (29.5)1,550 (40.6)
    Visit Department, n (\%)
     Emergency Room Visit63,322 (37.0)3,212 (33.2)2,159 (35.2)2,152 (34.6)8,198 (43.5)12,402 (48.3)9,726 (41.9)7,717 (39.9)7,124 (33.0)4,844 (27.3)2,853 (23.8)1,948 (25.6)987 (32.3)
     Office Visit52,184 (30.5)4,313 (44.5)2,639 (43.0)2,705 (43.5)6,079 (32.3)6,610 (25.7)6,225 (26.8)5,316 (27.5)6,234 (28.9)5,497 (31.0)3,778 (31.5)2,171 (28.5)617 (20.2)
     Telehealth14,758 (8.6)763 (7.9)482 (7.8)429 (6.9)1,333 (7.1)2,025 (7.9)2,046 (8.8)1,713 (8.8)2,081 (9.6)1,745 (9.9)1,267 (10.6)614 (8.1)260 (8.5)
     Order document23,634 (13.8)883 (9.1)614 (10.0)651 (10.5)2,085 (11.1)3,190 (12.4)3,348 (14.4)2,566 (13.3)3,286 (15.2)3,075 (17.4)2,163 (18.0)1,333 (17.5)440 (14.4)
     Emergency Room and  Inpatient Visit11,073 (6.5)450 (4.6)195 (3.2)209 (3.4)898 (4.8)1,055 (4.1)1,215 (5.2)1,125 (5.8)1,544 (7.1)1,479 (8.3)1,250 (10.4)1,079 (14.2)574 (18.8)
     Diagnostic Imaging Encounter3,117 (1.8)14 (0.1)6 (0.1)7 (0.1)66 (0.4)84 (0.3)235 (1.0)592 (3.1)933 (4.3)696 (3.9)333 (2.8)130 (1.7)21 (0.7)
     Other2,985 (1.7)48 (0.5)46 (0.7)63 (1.0)168 (0.9)305 (1.2)395 (1.7)332 (1.7)398 (1.8)379 (2.1)358 (3.0)333 (4.4)160 (5.2)
    • Notes: Headings refer to multimorbidity pairs by AHRQ classification. For example, CIR-CIR refers to the coexistence of two circulatory system diagnoses, and CIR-END refers to the coexistence of a circulatory system and endocrine diagnosis.

    • Abbreviation: SD, standard deviation.

    • View popup
    Table 2.

    Outcomes for the Overall Population and the Ten Most Common Multimorbidity Combinations

    Multimorbidity pairs
    OverallCIR-CIRCIR-ENDCIR-MBDCIR-MUSDIG-ENDEND-ENDEND-MBDEXT-INJMBD-MBDMUS-MUSP-Value
    n2,11,95318,29528,06315,60113,58913,96619,16713,47519,03723,73012,770
    Race, n (%)
     White1,20,323 (56.8)12,503 (68.3)17,437 (62.1)9,235 (59.2)8,045 (59.2)8,574 (61.4)11,483 (59.9)8,183 (60.7)10,578 (55.6)14,210 (59.9)7,069 (55.4)<0.001
     Black or African American49,078 (23.2)4,096 (22.4)7,319 (26.1)4,651 (29.8)3,972 (29.2)3,405 (24.4)5,077 (26.5)3,608 (26.8)5,024 (26.4)6,191 (26.1)3,733 (29.2)
     Other31,189 (14.7)1,242 (6.8)2,527 (9.0)1,417 (9.1)1,240 (9.1)1,559 (11.2)2,026 (10.6)1,380 (10.2)2,730 (14.4)2,703 (11.4)1,567 (12.3)
     Asian5,797 (2.7)198 (1.1)338 (1.2)92 (0.6)125 (0.9)174 (1.2)253 (1.3)86 (0.6)325 (1.7)221 (0.9)152 (1.2)
     Unknown4,029 (1.9)169 (0.9)285 (1.0)109 (0.7)119 (0.9)140 (1.0)205 (1.1)117 (0.9)269 (1.4)211 (0.9)135 (1.1)
     American Indian or Alaska Native607 (0.3)56 (0.3)93 (0.3)64 (0.4)55 (0.4)57 (0.4)74 (0.4)64 (0.5)47 (0.2)95 (0.4)60 (0.5)
     Native Hawaiian or Other  Pacific Islander674 (0.3)29 (0.2)59 (0.2)29 (0.2)29 (0.2)54 (0.4)47 (0.2)36 (0.3)47 (0.2)82 (0.3)48 (0.4)
    Gender, n (%)
     Female1,15,895 (54.7)8,980 (49.1)15,227 (54.3)7,877 (50.5)7,834 (57.6)8,164 (58.5)11,169 (58.3)7,563 (56.1)8,961 (47.1)11,911 (50.2)7,749 (60.7)<0.001
     Male96,055 (45.39,315 (50.9)12,836 (45.7)7,723 (49.5)5,755 (42.4)5,801 (41.5)7,998 (41.7)5,912 (43.9)10,076 (52.9)11,817 (49.8)5,021 (39.3)
     Age, median [Q1, Q3]38.0 [20.9,59.0]70.4 [58.8,81.7]65.2 [54.2,77.2]58.0 [47.4,68.3]65.0 [54.2,77.6]60.1 [46.3,73.1]62.2 [50.0,74.7]56.1 [42.8,66.9]35.6 [21.5,57.9]39.9 [27.3,55.4]55.4 [40.1,68.7]<0.001
    Chronic disease burden, n (%)
     0 or 1 disease87,166 (41.1)0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)1.000
     ≥ 2 diseases (multimorbidity)1,24,787 (58.9)18,295 (100.0)28,063 (100.0)15,601 (100.0)13,589 (100.0)13,966 (100.0)19,167 (100.0)13,475 (100.0)19,037 (100.0)23,730 (100.0)12,770 (100.0)
     Chronic disease burden, mean  (S.D.)3.0 (3.5)9.1 (6.0)8.2 (5.4)9.3 (5.8)9.5 (5.9)10.3 (6.1)9.3 (5.8)9.8 (5.9)5.5 (4.7)7.1 (5.0)7.7 (5.9)<0.001
     Chronic disease burden,  median [Q1, Q3]2.0 [1.0,4.0]7.0 [5.0,12.0]7.0 [4.0,11.0]8.0 [5.0,12.0]8.0 [5.0,12.0]9.0 [6.0,14.0]8.0 [5.0,12.0]8.0 [5.0,13.0]4.0 [3.0,7.0]6.0 [4.0,9.0]6.0 [3.0,10.0]<0.001
     Visits Per Year, mean (S.D.)0.3 (0.5)0.7 (1.2)0.7 (1.1)0.9 (1.5)0.8 (1.5)0.9 (1.5)0.8 (1.3)0.9 (1.5)0.6 (1.2)0.7 (1.3)0.8 (1.5)<0.001
    Death, n (%)
     Yes12,023 (5.7)4,217 (23.1)4,620 (16.5)2,186 (14.0)2,270 (16.7)2,292 (16.4)3,038 (15.9)1,699 (12.6)1,182 (6.2)1,483 (6.2)1,317 (10.3)<0.001
     No1,99,930 (94.3)14,078 (76.9)23,443 (83.5)13,415 (86.0)11,319 (83.3)11,674 (83.6)16,129 (84.1)11,776 (87.4)17,855 (93.8)22,247 (93.8)11,453 (89.7)
    • Notes: Headings refer to multimorbidity pairs by AHRQ classification. For example, CIR-CIR refers to the coexistence of two circulatory system diagnoses, and CIR-END refers to the coexistence of a circulatory system and endocrine diagnosis. (see appendix table 1).

    • View popup
    Appendix Table 1.

    Three Letter AHRQ Codes and Description

    DescriptionThree Character Abbreviation
    BLDDiseases of the blood and blood-forming organs and certain disorders involving the immune mechanism
    CIRDiseases of the circulatory system
    DENDental diseases
    DIGDiseases of the digestive system
    EARDiseases of the ear and mastoid process
    ENDEndocrine, nutritional, and metabolic diseases
    EXTExternal causes of morbidity
    EYEDiseases of the eye and adnexa
    FACFactors influencing health status and contact with health services
    GENDiseases of the genitourinary system
    INFCertain infectious and parasitic diseases
    INJInjury, poisoning and certain other consequences of external causes
    MALCongenital malformations, deformations and chromosomal abnormalities
    MBDMental, behavioral, and neurodevelopmental disorders
    MUSDiseases of the musculoskeletal system and connective tissue
    NEONeoplasms
    NVSDiseases of the nervous system
    PNLCertain conditions originating in the perinatal period
    PRGPregnancy, childbirth, and the puerperium
    RSPDiseases of the respiratory system
    SKNDiseases of the skin and subcutaneous tissue
    SYMSymptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified
PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 37 (2)
The Journal of the American Board of Family Medicine
Vol. 37, Issue 2
March-April 2024
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

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.
The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
7 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan
David Chartash, Aidan Gilson, R. Andrew Taylor, Laura C. Hart
The Journal of the American Board of Family Medicine Mar 2024, 37 (2) 251-260; DOI: 10.3122/jabfm.2023.230221R1

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan
David Chartash, Aidan Gilson, R. Andrew Taylor, Laura C. Hart
The Journal of the American Board of Family Medicine Mar 2024, 37 (2) 251-260; DOI: 10.3122/jabfm.2023.230221R1
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Appendix
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Research to Improve Clinical Care in Family Medicine: Big Data, Telehealth, Artificial Intelligence, and More
  • Google Scholar

More in this TOC Section

  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
  • Integrating Adverse Childhood Experiences and Social Risks Screening in Adult Primary Care
  • A Pilot Comparison of Clinical Data Collection Methods Using Paper, Electronic Health Record Prompt, and a Smartphone Application
Show more Original Research

Similar Articles

Keywords

  • Adolescent Medicine
  • Aging
  • Comorbidity
  • Epidemiology
  • Family Medicine
  • Geriatrics
  • Lifespan
  • Multimorbidity
  • Pediatrics
  • Retrospective Studies

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire