Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE (Open Access)

Community views on factors affecting medicines resource allocation: cross-sectional survey of 3080 adults in Australia

Lesley Chim A I , Glenn Salkeld B , Patrick J Kelly C , Wendy Lipworth D , Dyfrig A. Hughes E and Martin R. Stockler F G H
+ Author Affiliations
- Author Affiliations

A Sydney School of Public Health, University of Sydney, Edward Ford Building (A27), Sydney, NSW 2006, Australia. Email: lesleychim@gmail.com

B Faculty of Social Sciences, University of Wollongong, NSW, 2522, Australia. Email: gsalkeld@uow.edu.au

C Sydney School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia. Email: p.kelly@sydney.edu.au

D Sydney Medical School, Sydney Health Ethics, University of Sydney, Sydney, NSW, 2006, Australia. Email: wendy.lipworth@sydney.edu.au

E Centre for Health Economics and Medicines Evaluation, Bangor University, Bangor, Wales, LL57 2PZ, UK. Email: d.a.hughes@bangor.ac.uk

F National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia.

G Concord Cancer Centre – Concord Hospital, Concord, NSW 2139, Australia.

H Chris O’Brien Lifehouse, Camperdown, NSW 2050, Australia. Email: martin.stockler@sydney.edu.au

I Corresponding author. Email: lesleychim@gmail.com

Australian Health Review 43(3) 254-260 https://doi.org/10.1071/AH16209
Submitted: 2 August 2017  Accepted: 23 November 2017   Published: 19 April 2018

Journal Compilation © AHHA 2019 Open Access CC BY-NC-ND

Abstract

Objective The aim of the present study was to determine Australian community views on factors that influence the distribution of health spending in relation to medicines.

Methods A cross-sectional web-based survey was performed of 3080 adults aged ≥18 years. Participants were asked to rank, in order of importance, 12 criteria according to which medicines funding decisions may be made.

Results Of all respondents, 1213 (39.4%) considered disease severity to be the most important prioritisation criterion for funding a new medicine. This was followed by medicines treating a disease affecting children (13.2%) and medicines for cancer patients (9.1%). Medicines targeting a disease for which there is no alternative treatment available received highest priority from 8.6% of respondents. The remaining eight prioritisation criteria were each assigned a top ranking from 6.6% to 1.7% of respondents. Medicines targeting a disease for which there is no alternative treatment available were ranked least important by 7.7% of respondents, compared with 2.4%, 1.9% and 1.0% for medicines treating severe diseases, diseases affecting children and cancer respectively. ‘End-of-life treatments’ and ‘rare disease therapies’ received the least number of highest priority rankings (2.0% and 1.7% respectively).

Conclusions These results provide useful information about public preferences for government spending on prescribed medicines. Understanding of public preferences on the funding of new medicines will help the Pharmaceutical Benefits Advisory Committee and government determine circumstances where greater emphasis on equity is required and help inform medicines funding policy that best meets the needs of the Australian population.

What is known about this topic? There is increased recognition of the importance of taking into account public preferences in the heath technology assessment (HTA) decision-making process.

What does this paper add? The Australian public view the severity of disease to be the most important funding prioritisation criterion for medicines, followed by medicines used to treat children or to treat cancer.

What are the implications for practitioners? The general public are capable of giving opinions on distributional preferences. This information can help inform medicines funding policy and ensure that it is consistent with the values of the Australian population.


References

[1]  Australian Government Department of Health. The Pharmaceutical Benefits Scheme. Expenditure and prescriptions twelve months to 30 June 2015. 2016. Available at: http://www.pbs.gov.au/info/statistics/pbs-expenditure-prescriptions-30-june-2015 [verified 30 June 2016].

[2]  Australian Government Department of Health and Ageing. Guidelines for preparing submissions to the Pharmaceutical Benefits Advisory Committee. Version 4.5. 2015. Available at: https://pbac.pbs.gov.au/content/information/archived-versions/pbac-guidelines-v4-5.pdf [verified 20 March 2018].

[3]  George B, Harris A, Mitchell A. Cost-effectiveness analysis and the consistency of decision making. Pharmacoeconomics 2001; 19 1103–09.
Cost-effectiveness analysis and the consistency of decision making.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3Mnpt1yitQ%3D%3D&md5=b184ee8ec8a5c5ade6fedb26b6805f0cCAS |

[4]  Harris AH, Hill SR, Chin G, Li JJ, Walkom E. The role of value for money in public insurance coverage decisions for drugs in Australia: a retrospective analysis 1994–2004. Med Decis Making 2008; 28 713–22.
The role of value for money in public insurance coverage decisions for drugs in Australia: a retrospective analysis 1994–2004.Crossref | GoogleScholarGoogle Scholar |

[5]  Australian Government Department of Health and Ageing. Public summary document: ipilimumab. 2012. Available at: http://www.pbs.gov.au/industry/listing/elements/pbac-meetings/psd/2012-11/ipilimumab.pdf [verified 22 January 2017].

[6]  Australian Government Department of Health and Ageing. Public summary document: ivacaftor. 2013. Available at: http://www.pbs.gov.au/info/industry/listing/elements/pbac-meetings/psd/2013-07/ivacaftor [verified 22 January 2017].

[7]  Australian Government Department of Health and Ageing. Public summary document: ivacaftor. 2014. Available at: http://www.pbs.gov.au/industry/listing/elements/pbac-meetings/psd/2014-03/ivacaftor-psd-03-2014.pdf [verified 22 January 2017].

[8]  Australian Government Department of Health and Ageing. Public summary document: imatinib. 2008. Available at: http://www.pbs.gov.au/industry/listing/elements/pbac-meetings/psd/2008-03/pbac-psd-imatinib-mar08.pdf [verified 22 January 2017].

[9]  Whitty JA, Littlejohns P. Social values and health priority setting in Australia: an analysis applied to the context of health technology assessment. Health Policy 2015; 119 127–36.
Social values and health priority setting in Australia: an analysis applied to the context of health technology assessment.Crossref | GoogleScholarGoogle Scholar |

[10]  Whitty JA, Ratcliffe J, Chen G, Scuffham PA. Australian public preferences for the funding of new health technologies: a comparison of discrete choice and profile case best–worst scaling methods. Med Decis Making 2014; 34 638–54.
Australian public preferences for the funding of new health technologies: a comparison of discrete choice and profile case best–worst scaling methods.Crossref | GoogleScholarGoogle Scholar |

[11]  Whitty JA, Scuffham PA, Rundle-Thiele SR. Public and decision maker stated preferences for pharmaceutical subsidy decisions: a pilot study. Appl Health Econ Health Policy 2011; 9 73–9.
Public and decision maker stated preferences for pharmaceutical subsidy decisions: a pilot study.Crossref | GoogleScholarGoogle Scholar |

[12]  O’Shea E, Gannon B, Kennelly B. Eliciting preferences for resource allocation in mental health care in Ireland. Health Policy 2008; 88 359–70.
Eliciting preferences for resource allocation in mental health care in Ireland.Crossref | GoogleScholarGoogle Scholar |

[13]  National Institute for Health and Care Excellence. Guide to the methods of technology appraisal 2013. 2013. Available at: https://www.nice.org.uk/article/pmg9 [verified 9 June 2016].

[14]  CADTH. Pan-Canadian oncology drug review. Patient engagement patient guide. 2015. Available at: https://www.cadth.ca/sites/default/files/pcodr/pCODR%27s%20Drug%20Review%20Process/pcodr-patient-engagement-guide.pdf [verified 12 February 2018].

[15]  Australian Government Department of Health. March 2015 PBAC meeting record of consumer hearings. 2015. Available at: https://m.pbs.gov.au/industry/listing/elements/pbac-meetings/pbac-outcomes/2015-03/2015-03-consumer-hearings-record.docx [verified 5 June 2016].

[16]  Australian Government Department of Health. March 2016 PBAC meeting – record of consumer hearings. 2016. Available at: http://www.pbs.gov.au/industry/listing/elements/pbac-meetings/pbac-outcomes/2016-03/consumer-hearing-record-2016-03.pdf [verified 5 June 2016].

[17]  Linley WG, Hughes DA. Societal views on NICE, cancer drugs fund and value-based pricing criteria for prioritising medicines: a cross-sectional survey of 4118 adults in Great Britain. Health Econ 2013; 22 948–64.
Societal views on NICE, cancer drugs fund and value-based pricing criteria for prioritising medicines: a cross-sectional survey of 4118 adults in Great Britain.Crossref | GoogleScholarGoogle Scholar |

[18]  Desser AS, Gyrd-Hansen D, Olsen JA, Grepperud S, Kristiansen IS. Societal views on orphan drugs: cross sectional survey of Norwegians aged 40 to 67. BMJ 2010; 341 c4715
Societal views on orphan drugs: cross sectional survey of Norwegians aged 40 to 67.Crossref | GoogleScholarGoogle Scholar |

[19]  Shah KK, Tsuchiya AAW. Valuing health at the end of life: a stated preference discrete choice experiement. Soc Sci Med 2015; 124 48–56.
Valuing health at the end of life: a stated preference discrete choice experiement.Crossref | GoogleScholarGoogle Scholar |

[20]  Oh DY, Crawford B, Kim SB, Chung HC, McDonald J, Lee SY, Ko SK, Ro J. Evaluation of the willingness-to-pay for cancer treatment in Korean metastatic breast cancer patients: a multicenter, cross-sectional study. Asia Pac J Clin Oncol 2012; 8 282–91.
Evaluation of the willingness-to-pay for cancer treatment in Korean metastatic breast cancer patients: a multicenter, cross-sectional study.Crossref | GoogleScholarGoogle Scholar |

[21]  Schomerus G, Matschinger H, Angermeyer CM. Preferences of the public regarding cutbacks in expenditure for patient care. Soc Psychiatry Psychiatr Epidemiol 2006; 41 369–77.
Preferences of the public regarding cutbacks in expenditure for patient care.Crossref | GoogleScholarGoogle Scholar |

[22]  Green C. Investigating public preferences on ‘severity of health’ as a relevant condition for setting healthcare priorities. Soc Sci Med 2009; 68 2247–55.
Investigating public preferences on ‘severity of health’ as a relevant condition for setting healthcare priorities.Crossref | GoogleScholarGoogle Scholar |

[23]  Gu Y, Lancsar E, Ghijben P, Butler JRG, Donaldson C. Attributes and weights in health care priority setting: a systematic review of what counts and to what extent. Soc Sci Med 2015; 146 41–52.
Attributes and weights in health care priority setting: a systematic review of what counts and to what extent.Crossref | GoogleScholarGoogle Scholar |

[24]  Erdem S, Thompson C. Prioritising health service innovation investments using public preferences: a discrete choice experiment. BMC Health Serv Res 2014; 14 360
Prioritising health service innovation investments using public preferences: a discrete choice experiment.Crossref | GoogleScholarGoogle Scholar |

[25]  Parliament of Australia. Availability of new, innovative and specialist cancer drugs in Australia. 2015. Available at: http://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Community_Affairs/Cancer_Drugs [verified 6 March 2016].

[26]  Littlejohns P, Weale A, Chalkidou K, Faden R, Teerawattananon Y. Social values and health policy: a new international research programme. J Health Organ Manag 2012; 26 285–92.
Social values and health policy: a new international research programme.Crossref | GoogleScholarGoogle Scholar |

[27]  Desser AS, Olsen JA, Grepperud S. Eliciting preferences for prioritizing treatment of rare diseases: the role of opportunity costs and framing effects. Pharmacoeconomics 2013; 31 1051–61.
Eliciting preferences for prioritizing treatment of rare diseases: the role of opportunity costs and framing effects.Crossref | GoogleScholarGoogle Scholar |

[28]  Rocchi A, Menon D, Verma S, Miller E. The role of economic evidence in Canadian oncology reimbursement decision-making: to lambda and beyond. Value Health 2008; 11 771–83.
The role of economic evidence in Canadian oncology reimbursement decision-making: to lambda and beyond.Crossref | GoogleScholarGoogle Scholar |

[29]  MacLeod TE, Harris AH, Mahal A. Stated and revealed preferences for funding new high-cost cancer drugs: a critical review of the evidence from patients, the public and payers. Patient 2016; 9 201–22.
Stated and revealed preferences for funding new high-cost cancer drugs: a critical review of the evidence from patients, the public and payers.Crossref | GoogleScholarGoogle Scholar |

[30]  Wortley S, Tong A, Howard K. Preferences for engagement in health technology assessment decision-making: a nominal group technique with members of the public. BMJ Open 2016; 6 e010265
Preferences for engagement in health technology assessment decision-making: a nominal group technique with members of the public.Crossref | GoogleScholarGoogle Scholar |