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The prevalence of diagnosed chronic conditions and multimorbidity in Australia: A method for estimating population prevalence from general practice patient encounter data

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  • Christopher Harrison
  • Joan Henderson
  • Graeme Miller
  • Helena Britt

Abstract

Objectives: To estimate the prevalence of common chronic conditions and multimorbidity among patients at GP encounters and among people in the Australian population. To assess the extent to which use of each individual patient’s GP attendance over the previous year, instead of the average for their age-sex group, affects the precision of national population prevalence estimates of diagnosed chronic conditions. Design, setting and participants: A sub-study (between November 2012 and March 2016) of the Bettering the Evaluation and Care of Health program, a continuous national study of GP activity. Each of 1,449 GPs provided data for about 30 consecutive patients (total 43,501) indicating for each, number of GP attendances in previous year and all diagnosed chronic conditions, using their knowledge of the patient, patient self-report, and patient's health record. Results: Hypertension (26.5%) was the most prevalent diagnosed chronic condition among patients surveyed, followed by osteoarthritis (22.7%), hyperlipidaemia (16.6%), depression (16.3%), anxiety (11.9%), gastroesophageal reflux disease (GORD) (11.3%), chronic back pain (9.7%) and Type 2 diabetes (9.6%). Conclusions: Of the three approaches we have tested to date, this study provides the most accurate method for estimation of population prevalence of chronic conditions using the GP as an expert interviewer, by adjusting for each patient’s reported attendance.

Suggested Citation

  • Christopher Harrison & Joan Henderson & Graeme Miller & Helena Britt, 2017. "The prevalence of diagnosed chronic conditions and multimorbidity in Australia: A method for estimating population prevalence from general practice patient encounter data," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
    • Handle: RePEc:plo:pone00:0172935
    DOI: 10.1371/journal.pone.0172935
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    References listed on IDEAS

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    1. Mackenbach, J.P. & Looman, C.W.N. & Van Der Meer, J.B.W., 1996. "Differences in the misreporting of chronic conditions, by level of education: The effect on inequalities in prevalence rates," American Journal of Public Health, American Public Health Association, vol. 86(5), pages 706-711.
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    1. Glenda Blaser Petarli & Monica Cattafesta & Monike Moreto Sant’Anna & Olívia Maria de Paula Alves Bezerra & Eliana Zandonade & Luciane Bresciani Salaroli, 2019. "Multimorbidity and complex multimorbidity in Brazilian rural workers," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-17, November.
    2. Shannen Vallesi & Matthew Tuson & Andrew Davies & Lisa Wood, 2021. "Multimorbidity among People Experiencing Homelessness—Insights from Primary Care Data," IJERPH, MDPI, vol. 18(12), pages 1-16, June.
    3. Annette Peart & Chris Barton & Virginia Lewis & Grant Russell, 2020. "A state‐of‐the‐art review of the experience of care coordination interventions for people living with multimorbidity," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(9-10), pages 1445-1456, May.
    4. Annette Peart & Virginia Lewis & Chris Barton & Grant Russell, 2020. "Healthcare professionals providing care coordination to people living with multimorbidity: An interpretative phenomenological analysis," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(13-14), pages 2317-2328, July.
    5. Hlaing Hlaing-Hlaing & Xenia Dolja-Gore & Meredith Tavener & Erica L. James & Allison M. Hodge & Alexis J. Hure, 2021. "Diet Quality and Incident Non-Communicable Disease in the 1946–1951 Cohort of the Australian Longitudinal Study on Women’s Health," IJERPH, MDPI, vol. 18(21), pages 1-21, October.

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