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Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE (Open Access)

Preventable hospitalisations in regional Queensland: potential for primary health?

Linton R. Harriss A D , Fintan Thompson A , Kenny Lawson C , Mary O'Loughlin A and Robyn McDermott A B
+ Author Affiliations
- Author Affiliations

A James Cook University, Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, Centre for Chronic Disease Prevention, PO Box 6811, Cairns, Qld, 4870 Australia. Email: fintan.thompson@jcu.edu.au; mary.oloughlin@my.jcu.edu.au; robyn.mcdermott@jcu.edu.au

B University of South Australia, Sansom Institute for Health Research, Centre for Population Health Research, City West Campus, Adelaide, SA, 5000 Australia.

C Translational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith NSW, 2751, Australia. Email: K.Lawson@westernsydney.edu.au

D Corresponding author. Email: linton.harriss@jcu.edu.au

Australian Health Review 43(4) 371-381 https://doi.org/10.1071/AH18033
Submitted: 1 August 2017  Accepted: 17 April 2018   Published: 3 August 2018

Journal Compilation © AHHA 2019 Open Access CC BY-NC-ND

Abstract

Objective The aims of this study were to: (1) use local health data to examine potentially preventable hospitalisations (PPHs) as a proportion of total hospital separations and estimated costs to a large regional hospital in northern Queensland, including differences associated with Indigenous status; and (2) identify priority conditions and discuss issues related to strategic local primary health intervention.

Methods A cross-sectional analysis was conducted using Queensland Hospital Admitted Patient Data Collection data (July 2012–June 2014) restricted to 51 087 separations generated by 29 485 local residents. PPHs were identified from the International Statistical Classification of Diseases and Related Health Problems 10th Revision Australian Modification (ICD-10-AM) and procedure codes using National Healthcare Agreement definitions. Age-standardised separation rates were calculated using Australian 2001 reference population and associated economic costs were estimated using Australian-refined diagnosis related groups.

Results Eleven per cent (n = 5488) of all hospital separations were classified as PPH, and most were for common chronic (n = 2486; 45.3%) and acute (n = 2845; 51.8%) conditions. Because many acute presentations reflect chronic underlying disease, chronic conditions account for up to 76.5% of all PPHs. Age-standardised PPH rates were 3.4-fold higher for Indigenous than non-Indigenous people. Associated 2-year costs were AU$32.7 million, which was 10.7% of estimated total health care expenditure for hospital separations, and were higher for Indigenous (14.9%) than non-Indigenous (9.7%) people.

Conclusions High hospitalisation rates and costs for common preventable chronic conditions represent opportunities for primary healthcare interventions. In particular, community-level health services need to be more responsive to the needs of local Indigenous families.

What is known about the topic? PPH rates are used as a measure of timely access to quality primary health care, and are incrementally higher in regional and remote areas than in major cities. Investment in primary healthcare services has been shown to significantly reduce costs associated with avoidable hospitalisations.

What does this paper add? This study used local health data to identify the most common PPH conditions presenting to a large regional hospital in northern Queensland, including estimation of costs and differences associated with Indigenous status. Recommendations are made to strengthen primary healthcare and reduce hospital-related costs.

What are the implications for practitioners? Interventions to address high PPH rates should be tailored to meet the needs of the local population. Primary health strategies targeting common chronic conditions provide the greatest opportunity to reduce avoidable hospitalisations and costs in this regional area. Investment in collaborative, evidence-based interventions is recommended and justified, especially for Indigenous Australians.

Additional keywords: Aboriginal and Torres Strait Islander, chronic disease, health economics, potentially preventable hospitalisation, primary health care.


References

[1]  National Health Performance Authority (NHPA). Healthy communities: potentially preventable hospitalisations in 2013–14. Sydney: NHPA; 2015.

[2]  Clinical Epidemiology and Health Service Evaluation Unit (CEHSU). Potentially preventable hospitalisations: a review of the literature and Australian policies. Final report. Melbourne: CEHSU, Melbourne Health, The Royal Melbourne Hospital; 2009.

[3]  Australian Institute of Health and Welfare. National healthcare agreement (2017). 2017. Available at: http://meteor.aihw.gov.au/content/index.phtml/itemId/629963 [verified 15 March 2017].

[4]  Page A, Ambrose S, Glover J, Hetzel D. Atlas of avoidable hospitalisations in Australia: ambulatory care-sensitive conditions. Adelaide: University of Adelaide, Public Health Information Development Unit; 2007.

[5]  Australian Institute of Health and Welfare (AIHW). Admitted patient care 2014–15: Australian hospital statistics. Canberra: AIHW; 2016.

[6]  Turrell G, Stanley L, de Looper M, Oldenburg B. Health inequalities in Australia: morbidity, health behaviours, risk factors and health service use. Canberra: Queensland University of Technology and the Australian Institute of Health and Welfare; 2006.

[7]  Brameld KJ, Holman CDAJ. Demographic factors as predictors for hospital admission in patients with chronic disease. Aust N Z J Public Health 2006; 30 562–6.
Demographic factors as predictors for hospital admission in patients with chronic disease.Crossref | GoogleScholarGoogle Scholar |

[8]  Australian Institute of Health and Welfare (AIHW). Rural, regional and remote health: indicators of health status and determinants of health. Canberra: AIHW; 2008.

[9]  Penchansky R, Thomas JW. The concept of access: definition and relationship to consumer satisfaction. Med Care 1981; 19 127–40.
The concept of access: definition and relationship to consumer satisfaction.Crossref | GoogleScholarGoogle Scholar |

[10]  Begg S, Vos T, Barker B, Stevenson C, Stanley L, Lopez AD. The burden of disease and injury in Australia 2003. PHE 82. Canberra: Australian Institute of Health and Welfare; 2007.

[11]  Ahern MM, Hendryx M. Avoidable hospitalizations for diabetes: comorbidity risks. Dis Manag 2007; 10 347–55.
Avoidable hospitalizations for diabetes: comorbidity risks.Crossref | GoogleScholarGoogle Scholar |

[12]  Australian Institute of Health and Welfare (AIHW). The health and welfare of Australia’s Aboriginal and Torres Strait Islander peoples 2015. Canberra: AIHW; 2015.

[13]  Australian Institute of Health and Welfare (AIHW). Aboriginal and Torres Strait Islander Health Performance Framework, 2008 report: detailed analyses. Canberra: AIHW; 2008.

[14]  Harrold TC, Randall DA, Falster MO, Lujic S, Jorm LR. The contribution of geography to disparities in preventable hospitalisations between Indigenous and non-Indigenous Australians. PLoS ONE 2014; 9 e97892

[15]  Australian Health Ministers’ Advisory Council (AHMAC). Aboriginal and Torres Strait Islander health performance framework 2017 report. Canberra: AHMAC; 2017.

[16]  Zhao Y, Thomas SL, Guthridge SL, Wakerman J. Better health outcomes at lower costs: the benefits of primary care utilisation for chronic disease management in remote Indigenous communities in Australia’s Northern Territory. BMC Health Serv Res 2014; 14 463
Better health outcomes at lower costs: the benefits of primary care utilisation for chronic disease management in remote Indigenous communities in Australia’s Northern Territory.Crossref | GoogleScholarGoogle Scholar |

[17]  Standing Council on Health. National strategic framework for rural and remote health. Canberra: Commonwealth of Australia; 2012.

[18]  van Loenen T, van den Berg MJ, Westert GP, Faber MJ. Organizational aspects of primary care related to avoidable hospitalization: a systematic review. Fam Pract 2014; 31 502–16.
Organizational aspects of primary care related to avoidable hospitalization: a systematic review.Crossref | GoogleScholarGoogle Scholar |

[19]  Duckett S, Griffiths K. Perils of place: identifying hotspots of health inequalities. Melbourne: Grattan Institute; 2016.

[20]  Jackson CL, Hambleton SJ. Australia’s health care homes: laying the right foundations. Med J Aust 2017; 206 380–1.
Australia’s health care homes: laying the right foundations.Crossref | GoogleScholarGoogle Scholar |

[21]  Pink B. Technical paper. Socio-Economic Indexes for Areas (SEIFA). Canberra: Australian Bureau of Statistics; 2013. Available at: http://www.ausstats.abs.gov.au/Ausstats/subscriber.nsf/0/22CEDA8038AF7A0DCA257B3B00116E34/$File/2033.0.55.001%20seifa%202011% 20technical%20paper.pdf [verified 4 February 2018].

[22]  Roberts RF, Innes KC, Walker SM. Introducing ICD-10-AM in Australian hospitals. Med J Aust 1998; 169 S32–5.

[23]  Australian Institute of Health and Welfare. National healthcare agreement: PI 18-selected potentially preventable hospitalisations, 2015. 2015. Available at: http://meteor.aihw.gov.au/content/index.phtml/itemId/559032 [verified 15 July 2015].

[24]  Australian Institute of Health and Welfare. Australian refined diagnosis-related groups (AR-DRG) data cubes. 2018. Available at: http://www.aihw.gov.au/hospitals-data/ar-drg-data-cubes/#ARDRGs [verified 4 July 2018].

[25]  Independent Hospital Pricing Authority. National hospital cost data collection, public hospitals cost report, round 18 (financial year 2013–14). 2016. Available at: https://www.ihpa.gov.au/publications/australian-public-hospitals-cost-report-2013-2014-round-18 [verified 15 May 2017].

[26]  Australian Institute of Health and Welfare. Methods and conventions. Age standardisation. In ‘Australia’s health 2014’. p. 504 2014. Available at: https://www.aihw.gov.au/reports/australias-health/australias-health-2014/contents/table-of-contents [verified 15 April 2015].

[27]  Australian Bureau of Statistics (ABS). Standard population for use in age-standardisation. Canberra: ABS; 2011.

[28]  Australian Health Ministers’ Advisory Council (AHMAC). Aboriginal and Torres Strait Islander health performance framework 2014 report. Canberra: AHMAC; 2015.

[29]  Li SQ, Gray NJ, Guthridge SL, Pircher SLM. Avoidable hospitalisation in Aboriginal and non-Aboriginal people in the Northern Territory. Med J Aust 2009; 190 532–6.

[30]  Katterl R. Anikeeva O, Butler C, Brown L, Smith B, Bywood P. Potentially avoidable hospitalisations in Australia: causes for hospitalisations and primary health care interventions. Primary Health Care Research & Information Service policy issue review. Adelaide: Primary Health Care Research & Information Service; 2012.

[31]  Medicare Benefits Schedule Review Taskforce. Preliminary report for consultation. Urgent after-hours primary care services funded through the MBS. 2017. Available at: http://www.mbsreview.com.au/reports/after-hours-report_1.html [verified 15 June 2017].

[32]  Royal Australian College of General Practitioners. After-hours home visiting services in primary healthcare. Position statement. 2016. Available at: https://www.racgp.org.au/download/Documents/Policies/Health%20systems/After-hours-position-statement.pdf [verified 15 October 2017].

[33]  Royal Australian College of General Practitioners. RACGP calls for focus on patient safety in after-hours debate. [Media release] 2017. Available at: https://www.racgp.org.au/yourracgp/news/media-releases/racgp-calls-for-focus-on-patient-safety-in-after-hours-debate/ [verified 15 October 2017].

[34]  Erny-Albrecht K, Oliver-Baxter J, Bywood P. Primary health care-based programmes targeting potentially avoidable hospitalisations in vulnerable groups with chronic disease. Primary Health Care Research & Information Service policy issue review. Adelaide: Primary Health Care Research & Information Service; 2016.

[35]  Epping-Jordan JE, Pruitt SD, Bengoa R, Wagner EH. Improving the quality of health care for chronic conditions. Qual Saf Health Care 2004; 13 299–305.
Improving the quality of health care for chronic conditions.Crossref | GoogleScholarGoogle Scholar |

[36]  Australian Government Department of Health. Medicare health assessment for Aboriginal and Torres Strait Islander people (MBS Item 715). 2016. Available at: http://www.health.gov.au/internet/main/publishing.nsf/Content/mbsprimarycare_ATSI_MBSitem715 [verified 21 August 2017].

[37]  Muenchberger H, Kendall E. Determinants of avoidable hospitalization in chronic disease: Development of a predictor matrix. Meadowbrook: Griffith University; 2008.

[38]  Muenchberger H, Kendall E. Predictors of preventable hospitalization in chronic disease: priorities for change. J Public Health Policy 2010; 31 150–63.
Predictors of preventable hospitalization in chronic disease: priorities for change.Crossref | GoogleScholarGoogle Scholar |

[39]  Mikhailovich K, Morrison P, Arabena K. Evaluating Australian Indigenous community health promotion initiatives: a selective review. Rural Remote Health 2007; 7 746

[40]  Primary Health Care Advisory Group. Better outcomes for people with chronic and complex health conditions. 2015. Available at: http://www.health.gov.au/internet/main/publishing.nsf/Content/76B2BDC12AE54540CA257F72001102B9/$File/Primary-Health-Care-Advisory-Group_Final-Report.pdf [verified 21 March 2017].

[41]  Jackson GL, Powers BJ, Chatterjee R, Bettger JP, Kemper AR, Hasselblad V, Dolor RJ, Irvine RJ, Heidenfelder BL, Kendrick AS, Gray R, Williams JW. The patient-centered medical home: a systematic review. Ann Intern Med 2013; 158 169–78.
The patient-centered medical home: a systematic review.Crossref | GoogleScholarGoogle Scholar |

[42]  O’Loughlin M, Mills JE, McDermott RA, Harriss LR. Review of patient-reported experience within patient-centred medical homes: insights for Australian health care homes. Aust J Prim Health 2017; 23 429–39.
Review of patient-reported experience within patient-centred medical homes: insights for Australian health care homes.Crossref | GoogleScholarGoogle Scholar |

[43]  Harriss LR, Ajani AE, Hunt D, Shaw J, Chambers B, Dewey H, Frayne J, Beauchamp A, Duvé K, Giles GG, Harrap S, Magliano DJ, Liew D, McNeil J, Peeters A, Stebbing M, Wolfe R, Tonkin A. Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths. Aust N Z J Public Health 2011; 35 466–76.
Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths.Crossref | GoogleScholarGoogle Scholar |

[44]  Cheng P, Gilchrist A, Robinson KM, Paul L. The risk and consequences of clinical miscoding due to inadequate medical documentation: a case study of the impact on health services funding. Health Inf Manag 2009; 38 35–46.
The risk and consequences of clinical miscoding due to inadequate medical documentation: a case study of the impact on health services funding.Crossref | GoogleScholarGoogle Scholar |

[45]  Australian Institute of Health and Welfare (AIHW). Indigenous identification in hospital separations data – quality report. Canberra: AIHW; 2010.