Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Identifying areas of need relative to liver disease: geographic clustering within a health service district

Nathan El-Atem A B C , Katharine M. Irvine D , Patricia C. Valery E , Kyle Wojcik D , Leigh Horsfall D F , Tracey Johnson G , Monika Janda A , Steven M. McPhail A B C * and Elizabeth E. Powell D F H *
+ Author Affiliations
- Author Affiliations

A Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Qld 4059, Australia. Email: nathan.elatem@uqconnect.edu.au; m.janda@qut.edu.au; steven.mcphail@qut.edu.au

B School of Public Health and Social Work, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Qld 4059, Australia.

C Centre for Functioning and Health Research, Metro South Health, PO Box 6053, Buranda, Qld 4102, Australia.

D Centre for Liver Disease Research, The University of Queensland, Translational Research Institute, 37 Kent Street, Woolloongabba, Qld 4102, Australia. Email: katharine.irvine@uq.edu.au; kyle.wojcik@uq.net.au

E QIMR Berghofer Medical Research Institute. 300 Herston Road, Herston, Qld 4006, Australia. Email: Patricia.Valery@qimrberghofer.edu.au

F Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Qld 4102, Australia. Email: Leigh.Horsfall@health.qld.gov.au

G Inala Primary Care, 64 Wirraway Parade, Inala, Qld 4077, Australia. Email: tjohnson@inalaprimarycare.com.au

H Corresponding author. Email: e.powell@uq.edu.au

Australian Health Review 41(4) 407-418 https://doi.org/10.1071/AH15225
Submitted: 11 December 2015  Accepted: 20 June 2016   Published: 11 August 2016

Abstract

Background Many people with chronic liver disease (CLD) are not detected until they present to hospital with advanced disease, when opportunities for intervention are reduced and morbidity is high. In order to build capacity and liver expertise in the community, it is important to focus liver healthcare resources in high-prevalence disease areas and specific populations with an identified need. The aim of the present study was to examine the geographic location of people seen in a tertiary hospital hepatology clinic, as well as ethnic and sociodemographic characteristics of these geographic areas.

Methods The geographic locations of hepatology out-patients were identified via the out-patient scheduling database and grouped into statistical area (SA) regions for demographic analysis using data compiled by the Australian Bureau of Statistics.

Results During the 3-month study period, 943 individuals from 71 SA Level 3 regions attended clinic. Nine SA Level 3 regions accounted for 55% of the entire patient cohort. Geographic clustering was seen especially for people living with chronic hepatitis B virus. There was a wide spectrum of socioeconomic advantage and disadvantage in areas with high liver disease prevalence.

Conclusions The geographic area from which people living with CLD travel to access liver health care is extensive. However, the greatest demand for tertiary liver disease speciality care is clustered within specific geographic areas. Outreach programs targeted to these areas may enhance liver disease-specific health service resourcing.

What is known about the topic? The demand for tertiary hospital clinical services in CLD is rising. However, there is limited knowledge about the geographic areas from which people living with CLD travel to access liver services, or the ethnic, socioeconomic and education characteristics of these areas.

What does this paper add? The present study demonstrates that a substantial proportion of people living with CLD and accessing tertiary hospital liver services are clustered within specific geographic areas. The most striking geographic clustering was seen for people living with chronic hepatitis B, in regions with a relatively high proportion of people born in Vietnam and China. In addition to ethnicity, the data show an apparent ecological association between liver disease and both socioeconomic and educational and/or occupational disadvantage.

What are the implications for practitioners? Identifying where demand for clinical services arises is an important step for service planning and preparing for potential outreach programs to optimise community-based care. It is likely that outreach programs to engage and enhance primary care services in geographic areas from which the greatest demand for tertiary liver disease speciality care arises would yield greater relative return on investment than non-targeted outreach programs.


References

[1]  Wang FS, Fan JG, Zhang Z, Gao B, Wang HY. The global burden of liver disease: the major impact of China. Hepatology 2014; 60 2099–108.
The global burden of liver disease: the major impact of China.Crossref | GoogleScholarGoogle Scholar | 25164003PubMed |

[2]  Rehm J, Samokhvalov AV, Shield KD. Global burden of alcoholic liver diseases. J Hepatol 2013; 59 160–8.
Global burden of alcoholic liver diseases.Crossref | GoogleScholarGoogle Scholar | 23511777PubMed |

[3]  Yopp AC, Choti MA. Non-alcoholic steatohepatitis-related hepatocellular carcinoma: a growing epidemic? Dig Dis 2015; 33 642–7.
Non-alcoholic steatohepatitis-related hepatocellular carcinoma: a growing epidemic?Crossref | GoogleScholarGoogle Scholar | 26398208PubMed |

[4]  Williams R, Aspinall R, Bellis M, Camps-Walsh G, Cramp M, Dhawan A, Ferguson J, Forton D, Foster G, Gilmore I, Hickman M, Hudson M, Kelly D, Langford A, Lombard M, Longworth L, Martin N, Moriarty K, Newsome P. Addressing liver disease in the UK: a blueprint for attaining excellence in health care and reducing premature mortality from lifestyle issues of excess consumption of alcohol, obesity, and viral hepatitis. Lancet 2014; 384 1953–97.
Addressing liver disease in the UK: a blueprint for attaining excellence in health care and reducing premature mortality from lifestyle issues of excess consumption of alcohol, obesity, and viral hepatitis.Crossref | GoogleScholarGoogle Scholar | 25433429PubMed |

[5]  El-Atem N, Wojcik K, Horsfall L, Irvine K, Johnson T, McPhail S, Powell E. Patterns of service utilisation within hepatology clinics: high prevalence of advanced liver disease Internal Med J 2016; 46 420–6.
Patterns of service utilisation within hepatology clinics: high prevalence of advanced liver diseaseCrossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC28rpvFaiug%3D%3D&md5=4cb67f99e000b4f398b1b4265f2c1375CAS |

[6]  Horsfall L, Macdonald G, Scott I, Skoien R, Khatun M, Moss C, Seligman C, Kardash C, Poxon V, Powell EE. Use of standardised assessment forms in referrals to hepatology outpatient services: implications for accurate triaging of patients with chronic hepatitis C. Aust Health Rev 2013; 37 218–22.
Use of standardised assessment forms in referrals to hepatology outpatient services: implications for accurate triaging of patients with chronic hepatitis C.Crossref | GoogleScholarGoogle Scholar | 23448666PubMed |

[7]  Hepatitis Queensland. Liver clinics and treatment. Available at: http://www.hepqld.asn.au/directory [verified 12 July 2016].

[8]  StataCorp. Stata Statistical Software: Release 13. College Station, TX: StataCorp LP; 2013.

[9]  Friedman J, Hastie T, Tibshirani R. Glmnet: lasso and elastic-net regularized generalized linear models. R package version 1. Available at: https://cran.r-project.org/web/packages/glmnet/index.html; 2009.

[10]  Australian Bureau of Statistics (ABS). Census of population and housing: expanded community profile Statistical Area 2 datapacks. Canberra: ABS; Available at: http://www.abs.gov.au/ausstats/abs@.nsf/productsbyCatalogue/974A1A5E73830E9ACA2570D90018BFB0?OpenDocument; 2011.

[11]  Australian Bureau of Statistics. Census of population and housing: basic community profile Statistical Area 2 datapacks. Canberra: ABS; Available at: http://www.abs.gov.au/ausstats/abs@.nsf/productsbyCatalogue/B7AD1DB8CB27192ECA2570D90018BFB2?OpenDocument; 2011.

[12]  Tibshirani R. Regression shrinkage and selection via the lasso. J R Stat Soc, B 1996; 58 267–88.

[13]  Bozdogan H. Model selection and Akaike’s information criterion (AIC): the general theory and its analytical extensions. Psychometrika 1987; 52 345–70.
Model selection and Akaike’s information criterion (AIC): the general theory and its analytical extensions.Crossref | GoogleScholarGoogle Scholar |

[14]  Schwarz G. Estimating the dimension of a model. Ann Stat 1978; 6 461–4.
Estimating the dimension of a model.Crossref | GoogleScholarGoogle Scholar |

[15]  Huber PJ. The behavior of maximum likelihood estimates under nonstandard conditions. In: Le Cam, L, Newyman, J., editors. Proceedings of the fifth Berkeley symposium on mathematical statistics and probability. Berkley: University of California Press; 1967. pp. 221–33.

[16]  White H. A heteroskedasticity–consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 1980; 48 817–38.
A heteroskedasticity–consistent covariance matrix estimator and a direct test for heteroskedasticity.Crossref | GoogleScholarGoogle Scholar |

[17]  Australian Bureau of Statistics (ABS). Custom confidentialised unit record file – master, microdata: census of population and housing sample file 2011 basic. ABS, Canberra; supplied on CD-ROM. 2011.

[18]  Schweitzer A, Horn J, Mikolajczyk RT, Krause G, Ott JJ. Estimations of worldwide prevalence of chronic hepatitis B virus infection: a systematic review of data published between 1965 and 2013. Lancet 2015; 386 1546–55.
Estimations of worldwide prevalence of chronic hepatitis B virus infection: a systematic review of data published between 1965 and 2013.Crossref | GoogleScholarGoogle Scholar | 26231459PubMed |

[19]  Commonwealth of Australia Department of Health. Second national hepatitis B strategy 2014–2017. Canberra: Commonwealth of Australia; 2014.

[20]  Australasian Society for HIV Medicine. B. Hepatitis B mapping project: estimates of chronic hepatitis B diagnosis, monitoring and treatment by Medicare Local, 2012/13 – national report. Darlinghurst: Australasian Society for HIV Medicine; 2015.

[21]  Strong C, Hur K, Kim F, Pan J, Tran S, Juon HS. Sociodemographic characteristics, knowledge and prevalence of viral hepatitis infection among Vietnamese Americans at community screenings. J Immigr Minor Health 2015; 17 298–301.
Sociodemographic characteristics, knowledge and prevalence of viral hepatitis infection among Vietnamese Americans at community screenings.Crossref | GoogleScholarGoogle Scholar | 24715472PubMed |

[22]  Ding D, Do A, Schmidt HM, Bauman AE. A widening gap? Changes in multiple lifestyle risk behaviours by socioeconomic status in New South Wales, Australia, 2002–2012. PLoS One 2015; 10 e0135338
A widening gap? Changes in multiple lifestyle risk behaviours by socioeconomic status in New South Wales, Australia, 2002–2012.Crossref | GoogleScholarGoogle Scholar | 26291457PubMed |

[23]  Locarnini S, Hatzakis A, Chen DS, Lok A. Strategies to control hepatitis B: public policy, epidemiology, vaccine and drugs. J Hepatol 2015; 62 S76–86.
Strategies to control hepatitis B: public policy, epidemiology, vaccine and drugs.Crossref | GoogleScholarGoogle Scholar | 25920093PubMed |

[24]  24 Wallace J, Hajarizadeh B, Richmond J, McNally S. Investigating general practice and hepatitis B. Melbourne: La Trobe University; 2012.

[25]  Cox J, Graves L, Marks E, Tremblay C, Stephenson R, Lambert-Lanning A, Steben M. Knowledge, attitudes and behaviours associated with the provision of hepatitis C care by Canadian family physicians. J Viral Hepat 2011; 18 e332–40.
Knowledge, attitudes and behaviours associated with the provision of hepatitis C care by Canadian family physicians.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3MnisVCitQ%3D%3D&md5=af591bcfb911f4050efc05f04afcc505CAS | 21692945PubMed |

[26]  Loguercio C, Tiso A, Cotticelli G, Blanco Cdel V, Arpino G, Laringe M, Napoli L, Piccinocchi G, Bonfrate L, Grattagliano I, Ubaldi E, Portincasa P. Management of chronic liver disease by general practitioners in southern Italy: unmet educational needs. Dig Liver Dis 2011; 43 736–41.
Management of chronic liver disease by general practitioners in southern Italy: unmet educational needs.Crossref | GoogleScholarGoogle Scholar | 21616733PubMed |

[27]  Arora S, Kalishman S, Thornton K, Dion D, Murata G, Deming P, Parish B, Brown J, Komaromy M, Colleran K, Bankhurst A, Katzman J, Harkins M, Curet L, Cosgrove E, Pak W. Expanding access to hepatitis C virus treatment – Extension for Community Healthcare Outcomes (ECHO) project: disruptive innovation in specialty care. Hepatology 2010; 52 1124–33.
Expanding access to hepatitis C virus treatment – Extension for Community Healthcare Outcomes (ECHO) project: disruptive innovation in specialty care.Crossref | GoogleScholarGoogle Scholar | 20607688PubMed |