Pediatric emergency asthma presentations in Southwest Victoria: a retrospective cross-sectional study 2017 to 2020

References

• Terry D, Robins S, Gardiner S, Wyett R, Islam R. Asthma hospitalisation trends from 2010 to 2015: variation among rural and metropolitan Australians. BMC Public Health. 2017;17(1):723–711. doi:https://doi.org/10.1186/s12889-017-4704-y.
   PubMedGoogle Scholar
• Tan DJ, Burgess JA, Perret JL, Bui DS, Abramson MJ, Dharmage SC, Walters EH. Non-pharmacological management of adult asthma in Australia: cross-sectional analysis of a population-based cohort study. J Asthma. 2020;57(1):105–108.
   PubMed Web of Science ®Google Scholar
• ABS. National Health Survey First Results, 2017-18. Canberra: Australian Bureau of Statistics; 2018. Contract No.: 4364.0.55.001.
   Google Scholar
• Lawson JA, Rennie DC, Cockcroft DW, Dyck R, Afanasieva A, Oluwole O, Afsana J. Childhood asthma, asthma severity indicators, and related conditions along an urban-rural gradient: a cross-sectional study. BMC Pulm Med. 2017;17(1):4.
   PubMedGoogle Scholar
• Australian Centre for Asthma Monitoring. Refining national asthma indicators: Delphi survey and correlation analysis. Canberra (Australia): Australian Institute of Health and Welfare; 2009. Contract No.: ACM 15.
   Google Scholar
• Estrada RD, Ownby DR. Rural asthma: current understanding of prevalence, patterns, and interventions for children and adolescents. Curr Allergy Asthma Rep. 2017;17(6):37–45. doi:https://doi.org/10.1007/s11882-017-0704-3.
   PubMed Web of Science ®Google Scholar
• National Asthma Council Australia. Australian asthma handbook, Version 2.0. Melbourne (Australia): National Asthma Council Australia; 2019.
   Google Scholar
• Department of Health and Human Services. Policy and funding guidelines 2019–20 (guidelines). Melbourne (Australia): State of Victoria, Department of Health and Human Services; 2019.
   Google Scholar
• Terry D, Peck B, Kloot K. The data deficit for asthma emergency presentations might surprise you: how RAHDaR addresses the data chasm. Rural Remote Health. 2020;20(2):5776–5773.
   PubMed Web of Science ®Google Scholar
• Kloot K, Baker T. Building a research-ready database of rural emergency presentations: the RAHDaR pilot study. Emerg Med Australas. 2019;31(1):126–128. doi:https://doi.org/10.1111/1742-6723.13156.
   PubMed Web of Science ®Google Scholar
• AIHW. A collaborative approach to national surveillance for respiratory epidemics, including thunderstorm asthma epidemics. Canberra (Australia): Australian Institute of Health and Welfare; 2018. Contract No.: Cat. no. ACM 34.
   Google Scholar
• Glenister KM, Bourke L, Bolitho L, Wright S, Roberts S, Kemp W, Rhode L, Bhat R, Tremper S, Magliano DJ, et al. Longitudinal study of health, disease and access to care in rural Victoria: the Crossroads-II study: methods. BMC Public Health. 2018;18(1):670. doi:https://doi.org/10.1186/s12889-018-5511-9.
   PubMedGoogle Scholar
• McLaughlin D, Hockey R, Mishra G. Heart disease in women in remote Australia: urban-rural differences after adjusting for lifestyle behaviours and socio-demographic factors. Aust N Z J Public Health. 2013;37(1):90. doi:https://doi.org/10.1111/1753-6405.12016.
   PubMed Web of Science ®Google Scholar
• Newton PJ, Betihavas V, Macdonald P. The role of b-type natriuretic peptide in heart failure management. Aust Crit Care. 2009;22(3):117–123. doi:https://doi.org/10.1016/j.aucc.2009.06.001.
   PubMed Web of Science ®Google Scholar
• Terry D, Crouch A, Ervin K, Glenister K, Bourke L. Heterogeneity of rural consumer perceptions of health service access across four regions of Victoria. J Rural Soc Sci. 2017;32(2):125–145.
   Google Scholar
• Mackenbach JP. Socioeconomic inequalities in health in high-income countries: the facts and the options. In: Detels R, Gulliford M, Karim QA, Tan CC, editors. Oxford textbook of global public health. Vol. 1, 6th ed. Oxford (UK): Oxford Univeristy Press; 2015. p. 106–126.
   Google Scholar
• Humphreys J, Wakerman J. Learning from history: how research evidence can inform policies to improve rural and remote medical workforce distribution. Aust J Rural Health. 2018;26(5):329–334. doi:https://doi.org/10.1111/ajr.12473.
   PubMed Web of Science ®Google Scholar
• Australian Consortium for Classification Development. The International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM/ACHI/ACS). Darlinghurst (NSW): Independent Hospital Pricing Authority; 2017.
   Google Scholar
• Ansari Z, Haider SI, Ansari H, de Gooyer T, Sindall C. Patient characteristics associated with hospitalisations for ambulatory care sensitive conditions in Victoria, Australia. BMC Health Serv Res. 2012;12(1):475.
   PubMedGoogle Scholar
• ABS. Socio-Economic Indexes for Australia (SEIFA), 2016. Canberra (Australia): Australian Bureau of Statistics; 2018. Contract No.: 2033.0.55.001.
   Google Scholar
• Department of Health and Human Services. 2015 local government area profiles. Melbourne (Australia): Department of Health and Human Services; 2018. Contract No.: 4364.0.55.001.
   Google Scholar
• ABS. Regional population by age and sex, Australia. Canberra (Australia): Australian Bureau of Statistics; 2018. Contract No.: 3235.0.
   Google Scholar
• ABS. Regional population by age and sex, Australia. Canberra (Australia): Australian Bureau of Statistics; 2019. Contract No.: 3235.0.
   Google Scholar
• Hugo Centre for Migration and Population Research. Accessibility/remoteness index of Australia Adelaide: The University of Adelaide; 2015. Available from: https://www.adelaide.edu.au/apmrc/research/projects/category/about_aria.html [last accessed 6 April 2020].
   Google Scholar
• National Asthma Council Australia. The Australian Asthma Handbook Melbourne: National Asthma Council Australia; 2017. Available from: http://www.asthmahandbook.org.au [last accessed 6 April 2020].
   Google Scholar
• Australian Centre for Asthma Monitoring. Survey questions for monitoring national asthma indicators. Canberra (Australia): Australian Institute of Health and Welfare; 2007.
   Google Scholar
• Pallant J. SPSS survival manual. 5th ed. Melbourne (Australia): Allen & Unwin; 2013.
   Google Scholar
• Kloot K, Salzman S, Kilpatrick S, Baker T, Brumby SA. Initial destination hospital of paediatric prehospital patients in rural Victoria. Emerg Med Australas. 2016;28(2):205–210. doi:https://doi.org/10.1111/1742-6723.12558.
   PubMed Web of Science ®Google Scholar
• Bristow S, Power T, Jackson D, Usher K. Conquering the great divide: rural mothers of children with chronic health conditions accessing specialist medical care for their children. Collegian. 2020;27(3):319–326.
   Web of Science ®Google Scholar
• Penfold RB, Chisolm DJ, Nwomeh BC, Kelleher KJ. Geographic disparities in the risk of perforated appendicitis among children in Ohio: 2001-2003. Int J Health Geogr. 2008;7(1):56–65. doi:https://doi.org/10.1186/1476-072X-7-56.
   PubMedGoogle Scholar
• Forno E, Celedón JC. The effect of obesity, weight gain, and weight loss on asthma inception and control. Curr Opin Allergy Clin Immunol. 2017;17(2):123–130. doi:https://doi.org/10.1097/ACI.0000000000000339.
   PubMed Web of Science ®Google Scholar
• Antó JM. Recent advances in the epidemiologic investigation of risk factors for asthma: a review of the 2011 literature. Curr Allergy Asthma Rep. 2012;12(3):192–200. doi:https://doi.org/10.1007/s11882-012-0254-7.
   PubMed Web of Science ®Google Scholar
• Neidell MJ. Air pollution, health, and socio-economic status: the effect of outdoor air quality on childhood asthma. J Health Econ. 2004;23(6):1209–1236. doi:https://doi.org/10.1016/j.jhealeco.2004.05.002.
   PubMed Web of Science ®Google Scholar
• Goodman JE, Loftus CT, Liu X, Zu K. Impact of respiratory infections, outdoor pollen, and socioeconomic status on associations between air pollutants and pediatric asthma hospital admissions. PLOS One. 2017;12(7):e0180522. doi:https://doi.org/10.1371/journal.pone.0180522.
   PubMed Web of Science ®Google Scholar
• Ouédraogo AM, Crighton EJ, Sawada M, To T, Brand K, Lavigne E. Exploration of the spatial patterns and determinants of asthma prevalence and health services use in Ontario using a Bayesian approach. PLoS One. 2018;13(12):e0208205. doi:https://doi.org/10.1371/journal.pone.0208205.
   PubMed Web of Science ®Google Scholar
• Chen K, Glonek G, Hansen A, Williams S, Tuke J, Salter A, Bi P. The effects of air pollution on asthma hospital admissions in Adelaide, South Australia, 2003-2013: time-series and case-crossover analyses. Clin Exp Allergy. 2016;46(11):1416–1430. doi:https://doi.org/10.1111/cea.12795.
   PubMed Web of Science ®Google Scholar
• Zein JG, Erzurum SC. Asthma is different in women. Curr Allergy Asthma Rep. 2015;15(6):28. doi:https://doi.org/10.1007/s11882-015-0528-y.
   PubMed Web of Science ®Google Scholar
• ABARES. About my region – Warrnambool and South West Victoria Canberra: Department of Agriculture, Water and the Envronment; 2020. Available from: https://www.agriculture.gov.au/abares/research-topics/aboutmyregion/vic-warrnambool#references.
   Google Scholar
• ABS. Patient experiences in Australia: summary of findings, 2018-19 – 4839.0. Canberra: Australian Bureau of Statistics; 2019. Available from: https://www.abs.gov.au/ausstats/[email protected]/Lookup/by%20Subject/4839.0∼2018-19∼Main%20Features∼Hospital%20admissions,%20emergency%20department%20visits%20and%20private%20health%20insurance∼5.
   Google Scholar
• Ruijsbroek A, Wijga AH, Kerkhof M, Koppelman GH, Smit HA, Droomers M. The development of socio-economic health differences in childhood: results of the Dutch longitudinal PIAMA birth cohort. BMC Public Health. 2011;11(1):225. doi:https://doi.org/10.1186/1471-2458-11-225.
   PubMedGoogle Scholar