Skip to main content

Main menu

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers

User menu

  • My alerts

Search

  • Advanced search
Annals of Family Medicine
  • My alerts
Annals of Family Medicine

Advanced Search

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers
  • Follow annalsfm on Twitter
  • Visit annalsfm on Facebook
Research ArticleOriginal Research

Multimorbidity in Patients Attending 2 Australian Primary Care Practices

Tom Brett, Diane Elizabeth Arnold-Reed, Aurora Popescu, Bishoy Soliman, Max Kishor Bulsara, Hilary Fine, Geoff Bovell and Robert George Moorhead
The Annals of Family Medicine November 2013, 11 (6) 535-542; DOI: https://doi.org/10.1370/afm.1570
Tom Brett
1General Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia
MD, MRCGP, FRACGP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: tom.brett@nd.edu.au
Diane Elizabeth Arnold-Reed
1General Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia
2Centre for Health Services Research, School of Population Health, University of Western Australia, Perth, Western Australia
BSc (Hons), PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aurora Popescu
1General Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia
BSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bishoy Soliman
1General Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia
BCom, MBBS (Hons)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Max Kishor Bulsara
3Institute for Health and Rehabilitation Research, The University of Notre Dame Australia, Fremantle, Western Australia
BSc (Hons), MSc, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hilary Fine
1General Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia
BSc (Hons), MBBS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Geoff Bovell
1General Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia
MBBS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert George Moorhead
1General Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia
MD, FRACGP, MICGP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

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

    Domain patterns in 1, 2, 3, and 4 or more domain combinations.

    Note: Denominators for 1 or more domains, n = 5,405; for 2 or more domains, n = 3,753; for 3 or more domains, n = 2,499; and for 4 or more domains, n = 1,651.

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

    Severity index distribution within age-groups.

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

    Frequency of domain scores by severity index category.

  • Figure 4
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4

    Comparison of prevalence of multimorbidity within age-groups with other studies.

Tables

  • Figures
  • Additional Files
    • View popup
    Table 1

    Age and Sex Distribution for Study Population

    CharacteristicPractice APractice BOverallAustralian Population
    Number of patients4,5832,6647,247…
    Sex, %
     Male39.345.241.549.7a
     Females60.754.858.550.3a
    Age, average (SD), y
    Overall36.2 (21.1)42.2 (24.7)38.4 (22.7)37.8b
     Male35.1 (22.3)44.7 (24.7)39.0 (23.8)37.0b
     Female36.9 (20.3)40.2 (24.5)38.0 (21.9)38.6b
    Age range
     Male2 mo – 92 y3 mo–99 y2 mo – 99 y…
     Female1 mo – 98 y1 mo–99 y1 mo – 99 y…
    Patients within age category, % (n)c
     <25 y28.9 (1,326)29.1 (776)29.0 (2,102)33.3b
     25–44 y35.7 (1,635)24.1 (642)31.4 (2,277)28.5b
     45–64 y27.1 (1,243)24.8 (661)26.3 (1,904)25.0b
     65–74 y4.6 (211)10.4 (277)6.7 ( 488)7.0b
     ≥75 y3.7 (168)11.6 (308)6.6 ( 476)6.2b
    • ABS = Austrailian Bureau of Statistics.

    • ↵a ABS data as of June 2008.23

    • ↵b Averaged from ABS data between June 200823 to June 2009.24

    • ↵c Sample size is shown in parentheses.

    • View popup
    Table 2

    Overall and Age Category Breakdown For the 5 Most Common Domains

    Age Category, Yearsa
    DomainFrequencies<25 (n=2,102)25–44 (n=2,277)45–64 (n=1,904)65–74 (n=488)≥75 (n=476)
    1 Domain only, % (n)b
    Musculoskeletal/integumental22.8 (377)8.56 (180)5.05 (115)3.89 (74)1.43 (7)0.21 (1)
    Respiratory17.3 (285)5.57 (117)5.27 (120)2.15 (41)1.43 (7)0.00
    Psychiatric16.2 (268)3.66 (77)6.81 (155)1.73 (33)0.61 (3)0.00
    Eye, ear, nose and throat11.6 (191)7.09 (149)1.14 (26)0.68 (13)0.41 (2)0.21 (1)
    Genitourinary8.3 (137)1.86 (39)3.25 (74)1.16 (22)0.41 (2)0.00
    ≥1 Domain, % (n)c
    Musculoskeletal/integumental46.4 (2,507)18.65 (392)25.60 (538)46.38 (883)56.35 (275)78.57 (374)
    Psychiatric34.6 (1,871)9.85 (207)28.81 (656)33.09 (630)30.94 (151)47.69 (227)
    Respiratory34.0 (1,838)16.08 (338)24.33 (554)35.61 (678)32.99 (161)22.48 (107)
    Vascular28.2 (1,527)0.43 (9)6.06 (138)35.29 (672)66.39 (324)80.67 (384)
    Endocrine28.0 (1,512)2.19 (46)12.60 (287)39.23 (747)43.85 (214)45.80 (218)
    ≥2 Domains, % (n)d
    Musculoskeletal/integumental + vascular24.0 (900)0.10 (2)2.11 (48)18.28 (348)40.57 (198)63.87 (304)
    Musculoskeletal/integumental + psychiatric23.8 (893)2.33 (49)9.00 (205)17.80 (339)22.75 (111)39.71 (189)
    Musculoskeletal/integumental + endocrine22.1 (830)0.48 (10)4.57 (104)21.06 (401)28.89 (141)36.55 (174)
    Musculoskeletal/integumental + respiratory21.6 (812)4.38 (92)7.95 (181)18.49 (352)20.29 (99)18.49 (88)
    Musculoskeletal/integumental + eye, ear, nose, and throat20.4 (766)3.28 (69)3.07 (70)11.55 (220)26.64 (130)58.19 (277)
    ≥3 Domains, % (n)e
    Musculoskeletal/integumental + vascular + endocrine18.6 (464)0.05 (1)0.70 (16)9.82 (187)22.54 (110)31.51 (150)
    Musculoskeletal/integumental + vascular + eye, ear, nose and throat16.9 (423)0.000.26 (6)4.62 (88)20.29 (99)48.32 (230)
    Musculoskeletal/integumental + psychiatric + vascular15.8 (394)0.001.10 (25)6.83 (130)16.80 (82)32.98 (157)
    Musculoskeletal/integumental + psychiatric + endocrine14.8 (371)0.14 (3)2.15 (49)9.77 (186)11.07 (54)16.60 (79)
    Musculoskeletal/integumental + psychiatric + respiratory14.0 (350)0.76 (16)3.56 (81)8.46 (161)9.43 (46)9.66 (46)
    • ↵a Frequencies are a percentage of population within the respective age category.

    • ↵b Denominator for 1 domain only, n = 1,652.

    • ↵c Denominator for 1 or more domains, n = 5,405.

    • ↵d Denominator for 2 or more domains, n = 3,753.

    • ↵e Denominator for 3 or more domains, n = 2,499.

Additional Files

  • Figures
  • Tables
  • The Article in Brief

    Multimorbidity in Patients Attending 2 Australian Primary Care Practices

    Tom Brett , and colleagues

    Background Multimorbidity, the co-existence of multiple chronic conditions in one person, is a major health priority. This study examined the pattern and prevalence of multimorbidity among patients at two large Australian primary care practices.

    What This Study Found The coexistence of multiple chronic conditions is very common in both men and women and its prevalence and severity increase steadily with age. In this study, 52 percent of all patients had two or more chronic illnesses, 35 percent had three or more, and 15 percent five or more. Musculoskeletal illness was the most common type of morbidity, followed by psychiatric, respiratory and vascular. The prevalence of multimorbidity increased with age. Overall, 58 percent of patients had mild, 49 percent had moderate, and 14 percent had severe severity index scores. Severity index scores also increased with age with moderate scores showing the greatest increase.

    Implications

    • Multimorbidity is significant in men and women and increases steadily with age.
  • Supplemental Table

    Supplemental Table. List of Conditions Categorized According to Body System Domains

    Files in this Data Supplement:

    • Supplemental data: Table
PreviousNext
Back to top

In this issue

The Annals of Family Medicine: 11 (6)
The Annals of Family Medicine: 11 (6)
Vol. 11, Issue 6
November/December 2013
  • Table of Contents
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
  • In Brief
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 Annals 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.
Multimorbidity in Patients Attending 2 Australian Primary Care Practices
(Your Name) has sent you a message from Annals of Family Medicine
(Your Name) thought you would like to see the Annals 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.
5 + 7 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Multimorbidity in Patients Attending 2 Australian Primary Care Practices
Tom Brett, Diane Elizabeth Arnold-Reed, Aurora Popescu, Bishoy Soliman, Max Kishor Bulsara, Hilary Fine, Geoff Bovell, Robert George Moorhead
The Annals of Family Medicine Nov 2013, 11 (6) 535-542; DOI: 10.1370/afm.1570

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Get Permissions
Share
Multimorbidity in Patients Attending 2 Australian Primary Care Practices
Tom Brett, Diane Elizabeth Arnold-Reed, Aurora Popescu, Bishoy Soliman, Max Kishor Bulsara, Hilary Fine, Geoff Bovell, Robert George Moorhead
The Annals of Family Medicine Nov 2013, 11 (6) 535-542; DOI: 10.1370/afm.1570
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Development of a core outcome set for multimorbidity trials in low/middle-income countries (COSMOS): study protocol
  • Development of a core outcome set for multimorbidity trials in low- and middle-income countries (COSMOS): Study Protocol
  • Effect of medicines management versus standard care on readmissions in multimorbid patients: a randomised controlled trial
  • Increasing age- and gender-specific burden and complexity of multimorbidity in Taiwan, 2003-2013: a cross-sectional study based on nationwide claims data
  • Family practitioners' top medical priorities when managing patients with multimorbidity: a cross-sectional study
  • Prevalence of multimorbidity in general practice: a cross-sectional study within the Swiss Sentinel Surveillance System (Sentinella)
  • Factors associated with health literacy in multimorbid patients in primary care: a cross-sectional study in Switzerland
  • Multimorbidity and patterns of chronic conditions in a primary care population in Switzerland: a cross-sectional study
  • Multimorbidity in primary care: protocol of a national cross-sectional study in Switzerland
  • Multimorbidity in a marginalised, street-health Australian population: a retrospective cohort study
  • Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice
  • In This Issue: Working in Community and Improving Health Care Quality
  • Google Scholar

More in this TOC Section

  • Family-Based Interventions to Promote Weight Management in Adults: Results From a Cluster Randomized Controlled Trial in India
  • Teamwork Among Primary Care Staff to Achieve Regular Follow-Up of Chronic Patients
  • Shared Decision Making Among Racially and/or Ethnically Diverse Populations in Primary Care: A Scoping Review of Barriers and Facilitators
Show more Original Research

Similar Articles

Subjects

  • Domains of illness & health:
    • Chronic illness
  • Person groups:
    • Older adults
  • Methods:
    • Quantitative methods
  • Other research types:
    • Health services
  • Core values of primary care:
    • Coordination / integration of care

Keywords

  • multimorbidity
  • primary care
  • general practice
  • chronic disease
  • prevalence
  • severity index

Content

  • Current Issue
  • Past Issues
  • Early Access
  • Plain-Language Summaries
  • Multimedia
  • Podcast
  • Articles by Type
  • Articles by Subject
  • Supplements
  • Calls for Papers

Info for

  • Authors
  • Reviewers
  • Job Seekers
  • Media

Engage

  • E-mail Alerts
  • e-Letters (Comments)
  • RSS
  • Journal Club
  • Submit a Manuscript
  • Subscribe
  • Family Medicine Careers

About

  • About Us
  • Editorial Board & Staff
  • Sponsoring Organizations
  • Copyrights & Permissions
  • Contact Us
  • eLetter/Comments Policy

© 2025 Annals of Family Medicine