IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0172935.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0172935
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0172935&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0172935?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Albarrán, Pedro & Hidalgo-Hidalgo, Marisa & Iturbe-Ormaetxe, Iñigo, 2020. "Education and adult health: Is there a causal effect?," Social Science & Medicine, Elsevier, vol. 249(C).
    2. repec:dau:papers:123456789/13753 is not listed on IDEAS
    3. David M. Wright & Michael Rosato & Dermot O’Reilly, 2017. "Which long-term illnesses do patients find most limiting? A census-based cross-sectional study of 340,000 people," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(8), pages 939-947, November.
    4. Datta Gupta, Nabanita & Jürges, Hendrik, 2012. "Do workers underreport morbidity? The accuracy of self-reports of chronic conditions," Social Science & Medicine, Elsevier, vol. 75(9), pages 1589-1594.
    5. Florence Jusot & Sabine Mage & Marta Menendez, 2014. "Inequality of Opportunity in Health in Indonesia," Working Papers DT/2014/06, DIAL (Développement, Institutions et Mondialisation).
    6. Laudicella, Mauro & Cookson, Richard & Jones, Andrew M. & Rice, Nigel, 2009. "Health care deprivation profiles in the measurement of inequality and inequity: An application to GP fundholding in the English NHS," Journal of Health Economics, Elsevier, vol. 28(6), pages 1048-1061, December.
    7. David Johnston & Carol Propper & Stephen Pudney & Michael Shields, 2014. "Child Mental Health And Educational Attainment: Multiple Observers And The Measurement Error Problem," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 880-900, September.
    8. Johnston, David W. & Propper, Carol & Shields, Michael A., 2009. "Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient," Journal of Health Economics, Elsevier, vol. 28(3), pages 540-552, May.
    9. repec:dau:papers:123456789/7004 is not listed on IDEAS
    10. William N. Evans & Craig L. Garthwaite, 2014. "Giving Mom a Break: The Impact of Higher EITC Payments on Maternal Health," American Economic Journal: Economic Policy, American Economic Association, vol. 6(2), pages 258-290, May.
    11. Irina Kislaya & Julian Perelman & Hanna Tolonen & Baltazar Nunes, 2019. "Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(5), pages 721-729, June.
    12. Anna Choi & John Cawley, 2018. "Health disparities across education: The role of differential reporting error," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 1-29, March.
    13. Slade, Alexander N., 2012. "Health investment decisions in response to diabetes information in older Americans," Journal of Health Economics, Elsevier, vol. 31(3), pages 502-520.
    14. Klabbers, Gonnie & Bosma, Hans & Van Lenthe, Frank J. & Kempen, Gertrudis I. & Van Eijk, Jacques T. & Mackenbach, Johan P., 2009. "The relative contributions of hostility and depressive symptoms to the income gradient in hospital-based incidence of ischaemic heart disease: 12-Year follow-up findings from the GLOBE study," Social Science & Medicine, Elsevier, vol. 69(8), pages 1272-1280, October.
    15. Duncan Thomas & Elizabeth Frankenberg, 2001. "The Measurement and Interpretation of Health in Social Surveys," Working Papers 01-06, RAND Corporation.
    16. Smith, William C. & Anderson, Emily & Salinas, Daniel & Horvatek, Renata & Baker, David P., 2015. "A meta-analysis of education effects on chronic disease: The causal dynamics of the Population Education Transition Curve," Social Science & Medicine, Elsevier, vol. 127(C), pages 29-40.
    17. Parminder Raina & Vicki Torrance-Rynard & Micheline Wong & Christel Woodward, 2002. "Agreement between Self-Reported and Routinely Collected Health Care Utilisation Data among Seniors," Social and Economic Dimensions of an Aging Population Research Papers 81, McMaster University.
    18. Rasheda Khanam & Son Nghiem & Maisha Rahman, 2020. "The income gradient and child mental health in Australia: does it vary by assessors?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(1), pages 19-36, February.
    19. Leonardo Becchetti & Maria Bachelet & Fabiola Riccardini, 2018. "Not feeling well … true or exaggerated? Self‐assessed health as a leading health indicator," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 153-170, February.
    20. Hendrik Jürges, 2007. "True health vs response styles: exploring cross‐country differences in self‐reported health," Health Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 163-178, February.
    21. Burgard, Sarah A. & Chen, Patricia V., 2014. "Challenges of health measurement in studies of health disparities," Social Science & Medicine, Elsevier, vol. 106(C), pages 143-150.
    22. Mitsuhiko Funakoshi & Yasushi Azami & Hisashi Matsumoto & Akemi Ikota & Koichi Ito & Hisashi Okimoto & Nobuaki Shimizu & Fumihiro Tsujimura & Hiroshi Fukuda & Chozi Miyagi & Sayaka Osawa & Ryo Osawa &, 2017. "Socioeconomic status and type 2 diabetes complications among young adult patients in Japan," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-14, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0172935. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.