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Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH FRONT

Frequent general practitioner visits are protective against statin discontinuation after a Pharmaceutical Benefits Scheme copayment increase

Karla L. Seaman https://orcid.org/0000-0003-4611-9616 A B H , Frank M. Sanfilippo C , Max K. Bulsara D , Tom Brett E , Anna Kemp-Casey F G , Elizabeth E. Roughead F , Caroline Bulsara D and David B. Preen G
+ Author Affiliations
- Author Affiliations

A School of Health Sciences, University of Notre Dame, Fremantle, 19 Mouat Street, P.O. Box 1225, WA 6959, Australia.

B School of Nursing and Midwifery, Edith Cowan University, Building 21, 270 Joondalup Drive, Joondalup, WA 6027, Australia.

C Cardiovascular Research Group, School of Population and Global Health, University of Western Australia, M431, 35 Stirling Highway, Perth, WA 6009, Australia. Email: frank.sanfilippo@uwa.edu.au

D Institute for Health Research, University of Notre Dame, Fremantle, 19 Mouat Street, P.O. Box 1225, WA 6959, Australia. Email: max.bulsara@nd.edu.au; caroline.bulsara@nd.edu.au

E School of Medicine, University of Notre Dame, Fremantle, 19 Mouat Street, P.O. Box 1225, WA 6959, Australia. Email: tom.brett@nd.edu.au

F Quality Use of Medicines and Pharmacy Research Centre, School of Pharmacy and Medical Sciences, University of South Australia, GPO Box 2471, Adelaide, SA 5001, Australia. Email: anna.kemp@uwa.edu.au; Libby.Roughead@unisa.edu.au

G Center of Health Services Research, School of Population and Global Health, M431, 35 Stirling Highway, University of Western Australia, Crawley, WA 6009, Australia. Email: david.preen@uwa.edu.au

H Corresponding author. Email: karla.seaman1@my.nd.edu.au

Australian Health Review 44(3) 377-384 https://doi.org/10.1071/AH19069
Submitted: 20 March 2019  Accepted: 5 December 2019   Published: 11 May 2020

Abstract

Objective This study assessed the effect of the frequency of general practitioner (GP) visitation in the 12 months before a 21% consumer copayment increase in the Pharmaceutical Benefits Scheme (PBS; January 2005) on the reduction or discontinuation of statin dispensing for tertiary prevention.

Methods The study used routinely collected, whole-population linked PBS, Medicare, mortality and hospital data from Western Australia. From 2004 to 2005, individuals were classified as having discontinued, reduced or continued their use of statins in the first six months of 2005 following the 21% consumer copayment increase on 1 January 2005. The frequency of GP visits was calculated in 2004 from Medicare data. Multivariate logistic regression models were used to determine the association between GP visits and statin use following the copayment increase.

Results In December 2004, there were 22 495 stable statin users for tertiary prevention of prior coronary heart disease, prior stroke or prior coronary artery revascularisation procedure. Following the copayment increase, patients either discontinued (3%), reduced (12%) or continued (85%) their statins. Individuals who visited a GP three or more times in 2004 were 47% less likely to discontinue their statins in 2005 than people attending only once. Subgroup analysis showed the effect was apparent in men, and long-term or new statin users. The frequency of GP visits did not affect the proportion of patients reducing their statin therapy.

Conclusions Patients who visited their GP at least three times per year had a lower risk of ceasing their statins in the year following the copayment increase. GPs can help patients maintain treatment following rises in medicines costs.

What is known about the topic? Following the 21% increase in medication copayment in 2005, individuals discontinued or reduced their statin usage, including for tertiary prevention.

What does this paper add? Patients who visited their GP at least three times per year were less likely to discontinue their statin therapy for tertiary prevention following a large copayment increase.

What are the implications for practitioners? This paper identifies the important role that GPs have in maintaining the continued use of important medications following rises in medicines costs.

Additional keywords: data linkage, health policy, out-of-pocket costs, primary health care.


References

[1]  Hynd A, Roughead EE, Preen DB, Glover J, Bulsara MK, Semmens J. The impact of co-payment increases on dispensings of government-subsidised medicines in Australia. Pharmacoepidemiol Drug Saf 2008; 17 1091–9.
The impact of co-payment increases on dispensings of government-subsidised medicines in Australia.Crossref | GoogleScholarGoogle Scholar | 18942671PubMed |

[2]  Hynd A, Roughead EE, Preen DB, Glover J, Bulsara M, Semmens J. Increased patient co-payments and changes in PBS-subsidised prescription medicines dispensed in Western Australia. Aust N Z J Public Health 2009; 33 246–52.
Increased patient co-payments and changes in PBS-subsidised prescription medicines dispensed in Western Australia.Crossref | GoogleScholarGoogle Scholar | 19630844PubMed |

[3]  National Vascular Disease Prevention Alliance. Guidelines for the management of absolute cardiovascular disease risk. 2012. Available at: https://www.heartfoundation.org.au/images/uploads/publications/Absolute-CVD-Risk-Full-Guidelines.pdf [verified 1 March 2019].

[4]  The Royal Australian College of General Practitioners. Guideline for preventative activities in general practice. The Red Book: 8.3 cholesterol and other lipids. 2018. Available at: https://www.racgp.org.au/clinical-resources/clinical-guidelines/key-racgp-guidelines/view-all-racgp-guidelines/red-book/prevention-of-vascular-and-metabolic-disease/cholesterol-and-other-lipids [verified 1 March 2019].

[5]  Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, Cooney AT, Corrà U, Cosyns B, Deaton C, Graham I, Hall MS, Hobbs R, Løchen ML, Löllgen H, Marques-Vidal P, Perk J, Prescott E, Redon J, Richter DJ, Satter N, Smulders Y, Tiberi M, van der Worp B, van Dis I, Verschuren M, Binno S, ESC Scientific Document Group 2016 European Guidelines on cardiovascular disease prevention in clinical practice: the Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts) – developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation. Eur Heart J 2016; 37 2315–81.
2016 European Guidelines on cardiovascular disease prevention in clinical practice: the Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts) – developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation.Crossref | GoogleScholarGoogle Scholar | 27222591PubMed |

[6]  Simons LA, Ortiz M, Calcino G. Long term persistence with statin therapy: experience in Australia 2006–2010. Aust Fam Physician 2011; 40 319–22.
| 21597553PubMed |

[7]  Warren JR, Falster MO, Fox D, Jorm L. Factors influencing adherence in long-term use of statins. Pharmacoepidemiol Drug Saf 2013; 22 1298–307.
Factors influencing adherence in long-term use of statins.Crossref | GoogleScholarGoogle Scholar | 24105731PubMed |

[8]  Kim S, Bennett K, Wallace E, Fahey T, Cahir C. Measuring medication adherence in older community-dwelling patients with multimorbidity. Eur J Clin Pharmacol 2018; 74 357–64.
Measuring medication adherence in older community-dwelling patients with multimorbidity.Crossref | GoogleScholarGoogle Scholar | 29199370PubMed |

[9]  Cohen JD, Brinton EA, Ito MK, Jacobson TA. Understanding statin use in America and gaps in patient education (USAGE): an Internet-based survey of 10,138 current and former statin users. J Clin Lipidol 2012; 6 208–15.
Understanding statin use in America and gaps in patient education (USAGE): an Internet-based survey of 10,138 current and former statin users.Crossref | GoogleScholarGoogle Scholar | 22658145PubMed |

[10]  Kemp A, Roughead E, Preen D, Glover J, Semmens J. Determinants of self-reported medicine underuse due to cost: a comparison of seven countries. J Health Serv Res Policy 2010; 15 106–14.
Determinants of self-reported medicine underuse due to cost: a comparison of seven countries.Crossref | GoogleScholarGoogle Scholar | 20203082PubMed |

[11]  Jamison J, Graffy J, Mullis R, Mant J, Sutton S. Barriers to medication adherence for the secondary prevention of stroke: a qualitative interview study in primary care. Br J Gen Pract 2016; 66 e568–76.
Barriers to medication adherence for the secondary prevention of stroke: a qualitative interview study in primary care.Crossref | GoogleScholarGoogle Scholar | 27215572PubMed |

[12]  Schaffer AL, Buckley NA, Dobbins TA, Banks E, Pearson S-A. The crux of the matter: did the ABC’s Catalyst program change statin use in Australia? Med J Aust 2015; 202 591–5.
The crux of the matter: did the ABC’s Catalyst program change statin use in Australia?Crossref | GoogleScholarGoogle Scholar | 26068693PubMed |

[13]  McRae I, van Gool K, Hall J, Yen L. Role of cost on failure to access prescribed pharmaceuticals: the case of statins. Appl Health Econ Health Policy 2017; 15 625–634.
Role of cost on failure to access prescribed pharmaceuticals: the case of statins.Crossref | GoogleScholarGoogle Scholar | 28660496PubMed |

[14]  Hickson RP, Robinson JG, Annis IE, Killeya-Jones LA, Korhonen MJ, Cole AL, Fang G. Changes in statin adherence following an acute myocardial infarction among older adults: patient predictors and the association with follow-up with primary care providers and/or cardiologists. J Am Heart Assoc 2017; 6 e007106
Changes in statin adherence following an acute myocardial infarction among older adults: patient predictors and the association with follow-up with primary care providers and/or cardiologists.Crossref | GoogleScholarGoogle Scholar | 29051213PubMed |

[15]  Warren JR, Falster MO, Tran B, Jorm L. Association of continuity of primary care and statin adherence. PLoS One 2015; 10 e0140008
Association of continuity of primary care and statin adherence.Crossref | GoogleScholarGoogle Scholar | 26448561PubMed |

[16]  Holman CDAJ, Bass AJ, Rouse IL, Hobbs MST. Population-based linkage of health records in Western Australia: development of a health services research linked database. Aust N Z J Public Health 1999; 23 453–9.
Population-based linkage of health records in Western Australia: development of a health services research linked database.Crossref | GoogleScholarGoogle Scholar |

[17]  Australian Consortium for Classification Development. The international statistical classification of diseases and related health problems, tenth revision, Australian modification (ICD-10-AM/ACHI/ACS): ninth edition. Sydney: Independent Hospital Pricing Authority; 2015.

[18]  Australian Consortium for Classification Development. The international statistical classification of diseases and related health problems, tenth revision, Australian modification (ICD-10-AM/ACHI/ACS): tenth edition. Sydney: Independent Hospital Pricing Authority; 2017.

[19]  WHO Collaborating Centre for Drug Statistics Methodology. C10AA HMG CoA reductase inhibitors. ATC/DDD index. [Updated 16 December 2019]. 2019. Available at: http://www.whocc.no/atc_ddd_index/?code=C10AA [verified 20 February 2020].

[20]  Raebel MA, Schmittdiel J, Karter AJ, Konieczny JL, Steiner JF. Standardizing terminology and definitions of medication adherence and persistence in research employing electronic databases. Med Care 2013; 51 S11–21.
Standardizing terminology and definitions of medication adherence and persistence in research employing electronic databases.Crossref | GoogleScholarGoogle Scholar | 23774515PubMed |

[21]  De Vera MA, Bhole V, Burns LC, Lacaille D. Impact of statin adherence on cardiovascular disease and mortality outcomes: a systematic review. Br J Clin Pharmacol 2014; 78 684–98.
Impact of statin adherence on cardiovascular disease and mortality outcomes: a systematic review.Crossref | GoogleScholarGoogle Scholar | 25364801PubMed |

[22]  Donnelly N, McManus P, Dudley J, Hall W. Impact of increasing the re-supply interval on the seasonality of subsidised prescription use in Australia. Aust N Z J Public Health 2000; 24 603–6.
Impact of increasing the re-supply interval on the seasonality of subsidised prescription use in Australia.Crossref | GoogleScholarGoogle Scholar | 11215008PubMed |

[23]  Williams R. Analyzing rare events with logistic regression. 2019. Available at: https://www3.nd.edu/~rwilliam/stats3/rareevents.pdf [verified 20 March 2019].

[24]  Einarsdóttir K, Preen DB, Emery JD, Holman CDAJ. Regular primary care plays a significant role in secondary prevention of ischemic heart disease in a Western Australian cohort. J Gen Intern Med 2011; 26 1092–7.
Regular primary care plays a significant role in secondary prevention of ischemic heart disease in a Western Australian cohort.Crossref | GoogleScholarGoogle Scholar | 21347875PubMed |

[25]  Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005; 43 1130–9.
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.Crossref | GoogleScholarGoogle Scholar | 16224307PubMed |

[26]  Australian Bureau of Statistics (ABS). 2033.0.55.001 – Census of population and housing: Socio-economic indexes for areas (SEIFA), Australia, 2011. Canberra: ABS; 2013.

[27]  Australian Government Department of Health. Accessibility remoteness index of Australia (ARIA) remoteness area. Canberra: Australian Government Department of Health; 2011.

[28]  Preen DB, Holman CDAJ, Spilsbury K, Semmens JB, Brameld KJ. Length of comorbidity lookback period affected regression model performance of administrative health data. J Clin Epidemiol 2006; 59 940–6.
Length of comorbidity lookback period affected regression model performance of administrative health data.Crossref | GoogleScholarGoogle Scholar | 16895817PubMed |

[29]  Muench U, Guo C, Thomas C, Perloff J. Medication adherence, costs, and ER visits of nurse practitioner and primary care physician patients: evidence from three cohorts of Medicare beneficiaries. Health Serv Res 2019; 54 187–97.
Medication adherence, costs, and ER visits of nurse practitioner and primary care physician patients: evidence from three cohorts of Medicare beneficiaries.Crossref | GoogleScholarGoogle Scholar | 30284237PubMed |

[30]  Bally K, Buechel RR, Buser P, Tschudia P, Martinaa B, Zeller A. Discontinuation of secondary prevention medication after myocardial infarction – the role of general practitioners and patients. Swiss Med Wkly 2013; 143 w13896
Discontinuation of secondary prevention medication after myocardial infarction – the role of general practitioners and patients.Crossref | GoogleScholarGoogle Scholar | 24193548PubMed |

[31]  Uijen AA, Bosch M, van den Bosch WJHM, Bor H, Wensing M, Schers HJ. Heart failure patients’ experiences with continuity of care and its relation to medication adherence: a cross-sectional study. BMC Fam Pract 2012; 13 86
Heart failure patients’ experiences with continuity of care and its relation to medication adherence: a cross-sectional study.Crossref | GoogleScholarGoogle Scholar | 22905797PubMed |

[32]  Schlichthorst M, Sanci LA, Pirkis J, Spittal MJ, Hocking JS. Why do men go to the doctor? Socio-demographic and lifestyle factors associated with healthcare utilisation among a cohort of Australian men. BMC Public Health 2016; 16 1028
Why do men go to the doctor? Socio-demographic and lifestyle factors associated with healthcare utilisation among a cohort of Australian men.Crossref | GoogleScholarGoogle Scholar | 28185596PubMed |

[33]  Wang Y, Hunt K, Nazareth I, Freemantle N, Petersen I. Do men consult less than women? An analysis of routinely collected UK general practice data. BMJ Open 2013; 3 e003320
Do men consult less than women? An analysis of routinely collected UK general practice data.Crossref | GoogleScholarGoogle Scholar | 24334199PubMed |

[34]  Walkom EJ, Loxton D, Robertson J. Costs of medicines and health care: a concern for Australian women across the ages. BMC Health Serv Res 2013; 13 484
Costs of medicines and health care: a concern for Australian women across the ages.Crossref | GoogleScholarGoogle Scholar | 24252248PubMed |

[35]  Tseng CW, Tierney EF, Gerzoff RB, Dudley RA, Waitzfelder B, Ackermann RT, Karter AJ, Piette J, Crosson JC, Ngo-Metzger Q, Chung R, Mangione CM. Race/ethnicity and economic differences in cost-related medication underuse among insured adults with diabetes: the Translating Research Into Action for Diabetes study. Diabetes Care 2008; 31 261–6.
Race/ethnicity and economic differences in cost-related medication underuse among insured adults with diabetes: the Translating Research Into Action for Diabetes study.Crossref | GoogleScholarGoogle Scholar | 18000177PubMed |

[36]  Heisler M, Wagner TH, Piette JD. Patient strategies to cope with high prescription medication costs: who is cutting back on necessities, increasing debt, or underusing medications? J Behav Med 2005; 28 43–51.
Patient strategies to cope with high prescription medication costs: who is cutting back on necessities, increasing debt, or underusing medications?Crossref | GoogleScholarGoogle Scholar | 15887875PubMed |