Long-term use of secondary prevention medications for heart failure in Western Australia: A protocol for a population-based cohort study

Xiwen Qin, Tiew Hwa Katherine Teng, Joseph Hung, Tom Briffa, Frank M. Sanfilippo

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)


Introduction: Heart failure (HF) is a chronic, debilitating and progressive disease associated with high morbidity and mortality. Evidence-based medications (EBMs) are the cornerstone of management of patients with HF. In Australia, these EBMs are subsidised by the Commonwealth Government under the Pharmaceutical Benefits Scheme. Suboptimal dispensing and non-adherence to these EBMs have been observed in patients with HF. Our study will investigate trends in dispensing patterns, as well as adherence and persistence of EBMs for HF. We will also identify factors influencing these patterns and their impact on long-term clinical outcomes. 

Methods and analysis: This whole population-based cohort study will use longitudinal data for people aged 65-84 years who were hospitalised for HF in Western Australia between 2003 and 2008. Linked state-wide and national data will provide patient-level information on medication dispensing, medical visits, hospitalisations and death. Drug dispensing trends will be described, drug adherence and persistence estimated and the association with all-cause/cardiovascular death and hospitalisations reported. 

Ethics and dissemination: This project has received approvals from the Western Australian Department of Health Human Research Ethics Committee and the Western Australian Aboriginal Health Ethics Committee. Results will be published in relevant cardiology journals and presented at national and international conferences.

Original languageEnglish
Article numbere006258
Number of pages7
JournalBMJ Open
Issue number11
Publication statusPublished - 1 Nov 2016
Externally publishedYes


  • adherence and persistence
  • drug dispensing patterns
  • evidence-based pharmacotherapy
  • outcome measure

Cite this