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Geographical variation of diabetic emergencies attended by prehospital Emergency Medical Services is associated with measures of ethnicity and socioeconomic status.
Villani, Melanie; Earnest, Arul; Smith, Karen; de Courten, Barbora; Zoungas, Sophia.
Affiliation
  • Villani M; Monash Centre for Health Research and Implementation - MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, 43-51 Kanooka Grove, Clayton, Victoria, 3168, Australia.
  • Earnest A; Research and Evaluation, Ambulance Victoria, 375 Manningham Road, Doncaster, Victoria, 3108, Australia.
  • Smith K; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Commercial Road, Victoria, 3004, Australia.
  • de Courten B; Monash Centre for Health Research and Implementation - MCHRI, School Public Health and Preventive Medicine, Monash University in partnership with Monash Health, 43-51 Kanooka Grove, Clayton, Victoria, 3168, Australia.
  • Zoungas S; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Commercial Road, Victoria, 3004, Australia.
Sci Rep ; 8(1): 5122, 2018 03 23.
Article in En | MEDLINE | ID: mdl-29572530
ABSTRACT
Geographical variation of diabetic emergencies attended by prehospital emergency medical services (EMS) and the relationship between area-level social and demographic factors and risk of a diabetic emergency were examined. All cases of hypoglycaemia and hyperglycaemia attended by Ambulance Victoria between 1/01/2009 and 31/12/2015 were tabulated by Local Government Area (LGA). Conditional autoregressive models were used to create smoothed maps of age and gender standardised incidence ratio (SIR) of prehospital EMS attendance for a diabetic emergency. Spatial regression models were used to examine the relationship between risk of a diabetic emergency and area-level factors. The areas with the greatest risk of prehospital EMS attendance for a diabetic emergency were disperse. Area-level factors associated with risk of a prehospital EMS-attended diabetic emergency were socioeconomic status (SIR 0.70 95% CrI [0.51, 0.96]), proportion of overseas-born residents (SIR 2.02 95% CrI [1.37, 2.91]) and motor vehicle access (SIR 1.47 95% CrI [1.08, 1.99]). Recognition of areas of increased risk of prehospital EMS-attended diabetic emergencies may be used to assist prehospital EMS resource planning to meet increased need. In addition, identification of associated factors can be used to target preventative interventions tailored to individual regions to reduce demand.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus / Emergency Medical Services / Models, Biological Type of study: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Oceania Language: En Journal: Sci Rep Year: 2018 Document type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus / Emergency Medical Services / Models, Biological Type of study: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Oceania Language: En Journal: Sci Rep Year: 2018 Document type: Article Affiliation country: Australia