Literature DB >> 27027989

The prevalence of complex multimorbidity in Australia.

Christopher Harrison1, Joan Henderson1, Graeme Miller1, Helena Britt1.   

Abstract

OBJECTIVE: To measure prevalence of multimorbidity and complex multimorbidity in the Australian population from a nationally representative prospective study and to identify the most prevalent patterns of chronic conditions and body systems affected.
METHODS: A sub-study of the nationally representative BEACH program, using a random sample of 8,707 patients at encounters with 290 general practitioners. All diagnosed chronic conditions were recorded for each patient. Multimorbidity was defined as co-occurrence of 2+ chronic conditions, while complex multimorbidity was defined as 3+ body systems each affected by at least one chronic condition.
RESULTS: We estimated: 47.4% of patients at GP encounters and one-third (32.6%) of the population had multimorbidity; and 27.4% of patients at GP encounters and 17.0% of the Australian population had complex multimorbidity. The most prevalent combination pattern of three conditions was hypertension+hyperlipidaemia+ osteoarthritis (5.5% of patient at encounters and 3.3% of the population). Most prevalent combination of three body systems affected was circulatory+musculoskeletal+endocrine / nutritional/metabolic systems (11.1% of patients at encounters and 7.0% of the population). CONCLUSIONS AND IMPLICATIONS: A significant proportion of Australians have not only multimorbidity, but complex multimorbidity. To meet the challenge posed by complex multimorbidity, the single disease focus of our healthcare system needs to be re-evaluated.
© 2015 Public Health Association of Australia.

Entities:  

Keywords:  epidemiology; general practice; multimorbidity

Mesh:

Year:  2016        PMID: 27027989     DOI: 10.1111/1753-6405.12509

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  22 in total

1.  Exploring interprofessional, interagency multimorbidity care: case study based observational research.

Authors:  Eileen M McKinlay; Sonya J Morgan; Ben V Gray; Lindsay M Macdonald; Susan R H Pullon
Journal:  J Comorb       Date:  2017-06-12

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

Authors:  Christopher Harrison; Joan Henderson; Graeme Miller; Helena Britt
Journal:  PLoS One       Date:  2017-03-09       Impact factor: 3.240

3.  Prevalence of multimorbidity in general practice: a cross-sectional study within the Swiss Sentinel Surveillance System (Sentinella).

Authors:  Sophie Excoffier; Lilli Herzig; Alexandra A N'Goran; Anouk Déruaz-Luyet; Dagmar M Haller
Journal:  BMJ Open       Date:  2018-03-06       Impact factor: 2.692

4.  Epidemiology of multimorbidity in New Zealand: a cross-sectional study using national-level hospital and pharmaceutical data.

Authors:  James Stanley; Kelly Semper; Elinor Millar; Diana Sarfati
Journal:  BMJ Open       Date:  2018-05-24       Impact factor: 2.692

Review 5.  Global health policy in the 21st century: Challenges and opportunities to arrest the global disability burden from musculoskeletal health conditions.

Authors:  Andrew M Briggs; Jeremy Shiffman; Yusra Ribhi Shawar; Kristina Åkesson; Nuzhat Ali; Anthony D Woolf
Journal:  Best Pract Res Clin Rheumatol       Date:  2020-07-23       Impact factor: 4.098

6.  Increasing age- and gender-specific burden and complexity of multimorbidity in Taiwan, 2003-2013: a cross-sectional study based on nationwide claims data.

Authors:  Rey-Hsing Hu; Fei-Yuan Hsiao; Li-Ju Chen; Pei-Ting Huang; William Wei-Yuan Hsu
Journal:  BMJ Open       Date:  2019-06-09       Impact factor: 2.692

7.  Protocol for a randomised controlled trial to evaluate the effectiveness of the diabetes community exercise and education programme (DCEP) for long-term management of diabetes.

Authors:  Leigh Hale; Tim Stokes; Bonnie Scarth; Ramakrishnan Mani; Trudy Sullivan; Fiona Doolan-Noble; Prasath Jayakaran; Andrew R Gray; Jim Mann; Christopher Higgs
Journal:  BMJ Open       Date:  2019-02-21       Impact factor: 2.692

8.  Multimorbidity in Australia: Comparing estimates derived using administrative data sources and survey data.

Authors:  Sanja Lujic; Judy M Simpson; Nicholas Zwar; Hassan Hosseinzadeh; Louisa Jorm
Journal:  PLoS One       Date:  2017-08-29       Impact factor: 3.240

9.  Complexity in disease management: A linked data analysis of multimorbidity in Aboriginal and non-Aboriginal patients hospitalised with atherothrombotic disease in Western Australia.

Authors:  Mohammad Akhtar Hussain; Judith M Katzenellenbogen; Frank M Sanfilippo; Kevin Murray; Sandra C Thompson
Journal:  PLoS One       Date:  2018-08-14       Impact factor: 3.240

10.  Socioeconomic inequalities in the prevalence of complex multimorbidity in a Norwegian population: findings from the cross-sectional HUNT Study.

Authors:  Kristin Hestmann Vinjerui; Ottar Bjerkeset; Johan H Bjorngaard; Steinar Krokstad; Kirsty A Douglas; Erik R Sund
Journal:  BMJ Open       Date:  2020-06-15       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.