Use of secondary prevention medications in metropolitan and non-metropolitan areas: an analysis of 41 925 myocardial infarctions in Australia

Author:

Livori Adam C12ORCID,Ademi Zanfina134ORCID,Ilomäki Jenni13,Pol Derk5ORCID,Morton Jedidiah I16ORCID,Bell J Simon134ORCID

Affiliation:

1. Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University , VIC , Australia

2. Grampians Health , Ballarat, VIC , Australia

3. School of Public Health and Preventive Medicine, Monash University , Melbourne, VIC , Australia

4. Monash Data Futures Institute, Monash University , Melbourne, VIC , Australia

5. Latrobe Regional Hospital , Traralgon, VIC , Australia

6. Department of Diabetes and Population Health, Baker Heart and Diabetes Institute , Melbourne, VIC , Australia

Abstract

Abstract Aims People in remote areas may have more difficulty accessing healthcare following myocardial infarction (MI) than people in metropolitan areas. We determined whether remoteness was associated with initial and 12-month use of secondary prevention medications following MI in Victoria, Australia. Methods and results We included all people alive at least 90 days after discharge following MI between July 2012 and June 2017 in Victoria, Australia (n = 41 925). We investigated dispensing of P2Y12 inhibitors (P2Y12i), statins, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEIs/ARBs), and beta-blockers within 90 days after discharge. We estimated 12-month medication use using proportion of days covered (PDC). Remoteness was determined using the Accessibility/Remoteness Index of Australia (ARIA). Data were analysed using adjusted parametric regression models stratified by ST elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI). There were 10 819 STEMI admissions and 31 106 NSTEMI admissions. Following adjustment across NSTEMI and STEMI, there were no medication classes dispensed in the 90-day post-discharge that differed in a clinically significant way from the least remote (ARIA = 0) to the most remote (ARIA = 4.8) areas. The largest difference for NSTEMI was ACEI/ARB, with 71% (95% confidence interval 70–72%) vs. 80% (76–83%). For STEMI, it was statins with 89% (88–90%) vs. 95% (91–97%). Predicted PDC for STEMI and NSTEMI was not clinically significant across remoteness, with the largest difference in NSTEMI being P2Y12i with 48% (47–50%) vs. 55% (51–59%), and in STEMI, it was ACEI/ARB with 68% (67–69%) vs. 76% (70–80%). Conclusion Remoteness does not appear to be a clinically significant driver for medication use following MI. Possible differences in cardiovascular outcomes in metropolitan and non-metropolitan areas are not likely to be explained by access to secondary prevention medications.

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Epidemiology

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