Skip to main content

Advertisement

Log in

Is Reclassification of the Oral Contraceptive Pill from Prescription to Pharmacist-Only Cost Effective? Application of an Economic Evaluation Approach to Regulatory Decisions

  • Original Research Article
  • Published:
PharmacoEconomics Aims and scope Submit manuscript

Abstract

Background and Objective

Unplanned pregnancies can lead to poorer maternal and child health outcomes. The Australian Therapeutic Goods Administration committee rejected reclassifying a range of oral contraceptive pills (OCPs) from prescription to pharmacist-only medicines in 2015, mainly based on safety concerns. Improving access to OCPs may encourage some women to use contraceptives or switch from other contraceptive methods. However, some adverse events may increase and some women may stop using condoms, increasing their risk of sexually transmitted infections. This study aimed to estimate the cost effectiveness of reclassifying OCPs from prescription to pharmacist-only.

Perspective

Healthcare system.

Setting

Australian primary care.

Methods

A Markov model was used to synthesise data from a variety of sources. The model included all Australian women aged 15–49 years (N = 5,644,701). The time horizon was 35 years. Contraceptive use before reclassification was estimated using data from the Household, Income and Labour Dynamics in Australia (HILDA) survey, while survey data informed use after reclassification. Health outcomes included pregnancies, pregnancy outcomes (live birth, miscarriage, stillbirth, ectopic pregnancy and abortion), sexually transmitted infections, adverse events (venous thromboembolism, depression, myocardial infarction and stroke), ovarian cancer cases and quality-adjusted life-years. Costs included those related to general practitioner and specialist consultations, contraceptives and other medicines, pharmacist time, hospitalisations and adverse events. All costs were reported in 2016 Australian Dollars. A 5% discount rate was applied to health outcomes and costs.

Results

Reclassifying OCPs resulted in 85.70 million quality-adjusted life-years experienced and costs of $46,910.14 million over 35 years, vs. 85.68 million quality-adjusted life-years experienced and costs of $50,274.95 million with OCPs remaining prescription-only. Thus, reclassifying OCPs was more effective and cost saving. However, a sensitivity analysis found that more research on the probability of pregnancy in women not using contraception and not trying to conceive is needed.

Conclusion

Reclassifying OCPs is likely to be considered cost effective by Australian decision makers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. LARCs are highly effective, long-acting contraceptive methods that do not require an action to prevent pregnancy every day or every sexual encounter, and are reversible when stopped.

  2. Not using a contraceptive and not TTC, implant, intrauterine device, injection, prescription OCP, pharmacist-only OCP, withdrawal, natural safe period method, other methods, condom only, condom plus implant, condom plus intrauterine device, condom plus injection, condom plus prescription OCP, condom plus pharmacist-only OCP, condom plus other, condom plus withdrawal, female sterilisation, and male sterilisation.

References

  1. Gipson J, Koenig M, Hindin M. The effects of unintended pregnancy on infant, child, and parental health: a review of the literature. Stud Fam Plan. 2008;39(1):18–38.

    Article  Google Scholar 

  2. National Campaign to Prevent Teen Pregnancy. One in three: the case for wanted and welcomed pregnancy. Washington, DC: National Campaign to Prevent Teen Pregnancy; 2007.

    Google Scholar 

  3. Chandra A, Martinez G, Mosher W, et al. Fertility, family planning, and reproductive health of U.S. women: data from the 2002 National Survey of Family Growth. Vital Health Stat 23. 2005;25:1–160.

    Google Scholar 

  4. Mohllajee P, Curtis M, Morrow A, et al. Pregnancy intention and its relationship to birth and maternal outcomes. Obstet Gynecol. 2007;109(3):678–86.

    Article  CAS  PubMed  Google Scholar 

  5. Kost K, Landry D, Darroch J. The effects of pregnancy planning status on birth outcomes and infant care. Fam Plan Perspect. 1998;30(5):223–30.

    Article  CAS  Google Scholar 

  6. Rowe H, Holton S, Kirkman M, et al. Prevalence and distribution of unintended pregnancy: the Understanding Fertility Management in Australia National Survey. Aust N Z J Public Health. 2016;40(2):104–9.

    Article  PubMed  Google Scholar 

  7. Melbourne Institute of Applied Economic Social Research. The Household, Income and Labour Dynamics in Australia (HILDA) data. Melbourne: Melbourne Institute of Applied Economic and Social Research; 2015.

    Google Scholar 

  8. Landau S, Tapias M, McGhee B. Birth control within reach: a national survey on women’s attitudes toward and interest in pharmacy access to hormonal contraception. Contraception. 2006;74(6):463–70.

    Article  PubMed  Google Scholar 

  9. Potter J, McKinnon S, Hopkins K, et al. Continuation of prescribed compared with over-the-counter oral contraceptives. Obstet Gynecol. 2011;117(3):551–7.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Therapeutic Goods Administration. Interim decisions and reasons for decisions by delegates of the Secretary to the Department of Health, June 2015. Canberra: Therapeutic Goods Administration; 2015.

    Google Scholar 

  11. New Zealand Medicines and Medical Devices Safety Authority. Oral contraception recommendation made. Wellington, New Zealand: New Zealand Medicines and Medical Devices Safety Authority; 2017.

    Google Scholar 

  12. Grindlay K, Burns B, Grossman D. Prescription requirements and over-the-counter access to oral contraceptives: a global review. Contraception. 2013;88(1):91–6.

    Article  PubMed  Google Scholar 

  13. Rodriguez M, Anderson L, Edelman A. Prescription of hormonal contraception by pharmacists in Oregon: implementation of house bill 2879. Obstet Gynecol. 2016;128(1):168–70.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Bonner L. Oregon pharmacists may now prescribe hormonal contraceptives. American Pharmacists Association: Washington DC; 2015.

    Book  Google Scholar 

  15. Gauld N, Kelly F, Emmerton L, et al. Widening consumer access to medicines: a comparison of prescription to non-prescription medicine switch in Australia and New Zealand. PLoS One. 2015;10(3):e0119011.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Gauld N. Why the resurgence of OTC reclassifications in the UK is a good thing. Clin Pharm. 2017. https://doi.org/10.1211/cp.2017.20202645.

    Article  Google Scholar 

  17. Brass E, Lofstedt R, Renn O. Improving the decision-making process for nonprescription drugs: a framework for benefit-risk assessment. Clin Pharmacol Ther. 2011;90(6):791–803.

    Article  CAS  PubMed  Google Scholar 

  18. Medsafe. Minutes of the 57th meeting of the Medicines Classification Committee held in Wellington on Tuesday 1 November 2016 at 9:30 a.m. Wellington, New Zealand: New Zealand Medicines and Medical Devices Safety Authority; 2017.

    Google Scholar 

  19. Pharmaceutical Society of New Zealand Incorporated. Practice guidelines: pharmacist-supply of selected oral contraceptives (SOCs). Wellington: Pharmaceutical Society of New Zealand Incorporated. https://www.psnz.org.nz/Folder?Action=View%20File%26Folder_id=169%26File=Pharmacist%20SOC%20Guidelines%202018.pdf. Accessed 28 Mar 2019.

  20. Zhu M, Wertheimer A, Field R. The financial impact of over-the-counter availability of oral contraceptive pills. J Res Pharm Econ. 2002;11:125–42.

    Article  Google Scholar 

  21. Foster D, Biggs M, Phillips K, et al. Potential public sector cost-savings from over-the-counter access to oral contraceptives. Contraception. 2015;91(5):373–9.

    Article  PubMed  Google Scholar 

  22. Koslow S, West A, Xu C, et al. The value of OTC medicines in Australia. Macquarie University: Sydney; 2014.

  23. Mead H. Making birth control more accessible to women: a cost-benefit analysis of over-the-counter oral contraceptives. Institute for Women’s Policy Research, publication #B236. Washington: Institute for Women’s Policy Research; 2001.

    Google Scholar 

  24. Sonnenberg F, Burkman R, Hagerty C, et al. Costs and net health effects of contraceptive methods. Contraception. 2004;69(6):447–59.

    Article  PubMed  Google Scholar 

  25. Rissel C, Badcock P, Smith A, et al. Heterosexual experience and recent heterosexual encounters among Australian adults: the Second Australian Study of Health and Relationships. Sex Health. 2014;11(5):416–26.

    Article  PubMed  Google Scholar 

  26. Leridon H. A new estimate of permanent sterility by age: sterility defined as the inability to conceive. Popul Stud (Camb). 2008;62(1):15–24.

    Article  Google Scholar 

  27. Pharmaceutical Society of Australia. Guidance for provision of a pharmacist only medicine: emergency contraception. Canberra: Pharmaceutical Society of Australia; 2018.

    Google Scholar 

  28. Dinger J, Heinemann L, Kühl-Habich D. The safety of a drospirenone-containing oral contraceptive: final results from the European Active Surveillance study on oral contraceptives based on 142,475 women-years of observation. Contraception. 2007;75(5):344–54.

    Article  CAS  PubMed  Google Scholar 

  29. Pharmaceutical Benefits Advisory Committee. Guidelines for preparing submissions to the Pharmaceutical Benefits Advisory Committee. Canberra: Australian Government Department of Health; 2016.

    Google Scholar 

  30. Husereau D, Drummond M, Petrou S, et al. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement. Value Health. 2013;16(2):e1–5.

    Article  PubMed  Google Scholar 

  31. Vemer P, Corro Ramos I, van Voorn GA, et al. AdViSHE: a validation-assessment tool of health-economic models for decision makers and model users. Pharmacoeconomics. 2016;34(4):349–61.

    Article  CAS  PubMed  Google Scholar 

  32. Australian Bureau of Statistics. Births Australia 1997. Canberra: Australian Bureau of Statistics; 1997.

    Google Scholar 

  33. Trussell J, Vaughan B. Contraceptive failure, method-related discontinuation and resumption of use: results from the 1995 National Survey of Family Growth. Fam Plan Perspect. 1999;31(2):64–93.

    Article  CAS  Google Scholar 

  34. Diedrich JT, Zhao Q, Madden T, et al. Three-year continuation of reversible contraception. Am J Obstet Gynecol. 2015;213(5):662.e1–8.

    Article  Google Scholar 

  35. Potter J, White K, Hopkins K, et al. Clinic versus over-the-counter access to oral contraception: choices women make along the US-Mexico border. Am J Public Health. 2010;100(6):1130–6.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Green Cross Health NGL. Combined oral contraceptive (COC) checklist. Wellington: Pharmaceutical Society of New Zealand; 2017.

    Google Scholar 

  37. Parsons J, Adams C, Aziz N, et al. Evaluation of a community pharmacy delivered oral contraception service. J Fam Plan Reprod Health Care. 2013;39(2):97–101.

    Article  Google Scholar 

  38. Grimes DA, Lopez LM, O’Brien PA, Raymond EG. Progestin-only pills for contraception. Cochrane Database Syst Rev. 2013. https://doi.org/10.1002/14651858.CD007541.pub3.

    Article  PubMed  Google Scholar 

  39. Australian Institute of Health and Welfare. Maternal deaths in Australia 2012–2014. Cat. no. PER 92. Canberra: Australian Institute of Health and Welfare; 2017.

    Google Scholar 

  40. Havrilesky LJ, Moorman PG, Lowery WJ, et al. Oral contraceptive pills as primary prevention for ovarian cancer: a systematic review and meta-analysis. Obstet Gynecol. 2013;122(1):139–47.

    Article  CAS  PubMed  Google Scholar 

  41. Australian Institute of Health and Welfare. 2017 Australian cancer incidence and mortality (ACIM) books: ovarian cancer. Canberra: Australian Institute of Health and Welfare; 2017.

    Google Scholar 

  42. Australian Institute of Health and Welfare and National Breast and Ovarian Cancer Centre. Ovarian cancer in Australia: an overview, 2010. Cancer series no. 52. Cat. no. CAN 48. Canberra: Australian Institute of Health and Welfare; 2010.

    Google Scholar 

  43. Wilailak S, Vipupinyo C, Suraseranivong V, et al. Depot medroxyprogesterone acetate and epithelial ovarian cancer: a multicentre case–control study. BJOG. 2012;119(6):672–7.

    Article  CAS  PubMed  Google Scholar 

  44. Collaborative Group on Epidemiological Studies of Ovarian Cancer. Ovarian cancer and oral contraceptives: collaborative reanalysis of data from 45 epidemiological studies including 23 257 women with ovarian cancer and 87 303 controls. Lancet. 2008;371(9609):303–14.

    Article  CAS  Google Scholar 

  45. Maxwell G, Schildkraut J, Calingaert B, et al. Progestin and estrogen potency of combination oral contraceptives and endometrial cancer risk. Gynecol Oncol. 2006;103(2):535–40.

    Article  CAS  PubMed  Google Scholar 

  46. Australian Bureau of Statistics. Life tables, states, territories and Australia, 2013–2015, Cat. No. 3302.0.55.001. Canberra: Australian Bureau of Statistics; 2015.

    Google Scholar 

  47. Grossman Barr N. Managing adverse effects of hormonal contraceptives. Am Fam Phys. 2010;82(12):1499–506.

    Google Scholar 

  48. Skovlund C, Morch L, Kessing L. Association of hormonal contraception with depression. JAMA Psychiatry. 2016;73(11):1154–62.

    Article  PubMed  Google Scholar 

  49. Jick S, Kaye J, Russmann S, et al. Risk of nonfatal venous thromboembolism in women using a contraceptive transdermal patch and oral contraceptives containing norgestimate and 35 microg of ethinyl estradiol. Contraception. 2006;73(3):223–8.

    Article  CAS  PubMed  Google Scholar 

  50. Roach RE, Helmerhorst FM, Lijfering WM, Algra A, Dekkers OM. Combined oral contraceptives: the risk of myocardial infarction and ischemic stroke. Cochrane Database Syst Rev. 2015. https://doi.org/10.1002/14651858.CD011054.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Hannaford P, Selvaraj S, Elliott A, et al. Cancer risk among users of oral contraceptives: cohort data from the Royal College of General Practitioner’s oral contraception study. BMJ. 2007;335(7621):651.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Weller SC, Davis-Beaty K. Condom effectiveness in reducing heterosexual HIV transmission. Cochrane Database Syst Rev. 2002. https://doi.org/10.1002/14651858.CD003255.

    Article  PubMed  Google Scholar 

  53. Holmes KK, Levine R, Weaver M. Effectiveness of condoms in preventing sexually transmitted infections. Bull World Health Organ. 2004;82(6):454–61.

    PubMed  PubMed Central  Google Scholar 

  54. National Centre for Immunisation Research and Surveillance. Evaluation of the national human papillomavirus vaccination program. Sydney: National Centre for Immunisation Research and Surveillance (NICRS); 2014.

    Google Scholar 

  55. National Notifiable Diseases Surveillance System. Notifications of a selected disease by age group and sex. Canberra: Australian Government Department of Health; 2016.

    Google Scholar 

  56. Family Planning NSW. Reproductive and sexual health in Australia. Sydney: Family Planning NSW; 2013.

    Google Scholar 

  57. Brotherton J, Fridman M, May C, et al. Early effect of the HPV vaccination programme on cervical abnormalities in Victoria, Australia: an ecological study. Lancet. 2011;377(9783):2085–92.

    Article  PubMed  Google Scholar 

  58. McCaffrey N, Kaambwa B, Currow DC, et al. Health-related quality of life measured using the EQ-5D-5L: South Australian population norms. Health Qual Life Outcomes. 2016;14(1):133.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Hogg K, Kimpton M, Carrier M, et al. Estimating quality of life in acute venous thrombosis. JAMA Intern Med. 2013;173(12):1067–72.

    Article  PubMed  Google Scholar 

  60. Hawthorne G, Cheok F, Goldney R, et al. The excess cost of depression in South Australia: a population-based study. Aust N Z J Psychiatry. 2003;37(3):362–73.

    Article  PubMed  Google Scholar 

  61. Ara R, Brazier J. Health related quality of life by age, gender and history of cardiovascular disease: results from the Health Survey for England. HEDS discussion paper 09/12. Sheffield: The University of Sheffield; 2009.

  62. Institute of Medicine. Vaccines for the 21st century: a tool for decision making. Washington, DC: National Academy Press; 1999.

    Google Scholar 

  63. Salomon J, Haagsma J, Davis A, et al. Disability weights for the Global Burden of Disease 2013 study. Lancet Glob Health. 2015;3(11):e712–23.

    Article  PubMed  Google Scholar 

  64. Simonella L, Howard K, Canfell K. A survey of population-based utility scores for cervical cancer prevention. BMC Res Notes. 2014;7:899.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Gordon LG, Scuffham PA, Beesley VL, et al. Medical costs and outcomes for Australian women with ovarian cancer: a patient-level analysis over 2.5 years. Int J Gynecol Cancer. 2010;20(5):757–65.

    Article  PubMed  Google Scholar 

  66. Farnham P, Gopalappa C, Sansom S, et al. Updates of lifetime costs of care and quality-of-life estimates for HIV-infected persons in the United States: late versus early diagnosis and entry into care. J Acquir Immune Defic Syndr. 2013;64(2):183–9.

    Article  PubMed  Google Scholar 

  67. Australian Government Department of Health. Schedule of Pharmaceutical Benefits, effective 1 December 2015–31 December 2015. Canberra: Australian Government Department of Health; 2015.

    Google Scholar 

  68. Britt H, Miller G, Henderson J, et al. General practice activity in Australia 2014–15: general practice series no. 38. Sydney: Sydney University Press; 2015.

    Google Scholar 

  69. Mercer C, Tanton C, Prah P, et al. Changes in sexual attitudes and lifestyles in Britain through the life course and over time: findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal). Lancet. 2013;382(9907):1781–94.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Therapeutic Goods Administration. Implanon NXT, product information. Canberra: Therapeutic Goods Administration; 2016.

    Google Scholar 

  71. Therapeutic Goods Administration. Depo Provera, product information. Canberra: Therapeutic Goods Administration; 2017.

    Google Scholar 

  72. Family Planning NSW. Hormone-releasing IUD (Mirena). Ashfield, Sydney: Family Planning NSW; 2017.

    Google Scholar 

  73. Family Planning NSW. Copper IUD. Ashfield, Sydney: Family Planning NSW; 2017.

    Google Scholar 

  74. Therapeutic Goods Administration. NuvaRing, product information. Canberra: Therapeutic Goods Administration; 2017.

    Google Scholar 

  75. Family Planning NSW. Single-size contraceptive barrier device, CAYA diaphragm, fact sheet. Ashfield, Sydney: Family Planning NSW; 2017.

    Google Scholar 

  76. Puspitasari H, Aslani P, Krass I. How do Australian metropolitan and rural pharmacists counsel consumers with prescriptions? Pharm World Sci. 2009;31(3):394–405.

    Article  PubMed  Google Scholar 

  77. Mathew P, Pavlovic J, Lettich A, et al. Education and decision making at the time of triptan prescribing: patient expectations vs actual practice. Headache. 2014;54(4):698–708.

    Article  PubMed  PubMed Central  Google Scholar 

  78. National Health Service South East London. Evaluation of oral contraception in community pharmacy pilot in Southwark and Lambeth. London: National Health Service UK; 2012.

    Google Scholar 

  79. Personal correspondence from S Vasan, Pharmaceutical Society of New Zealand; 2018.

  80. Reserve Bank of Australia. Exchange rates. Sydney: Reserve Bank of Australia; 2019.

    Google Scholar 

  81. Deloitte Access Economics. The economic impact of stroke in Australia. Sydney: Deloitte; 2013.

    Google Scholar 

  82. Australian Institute of Health and Welfare. Health expenditure Australia 2014–15, AIHW cat. no. HWE 67. Canberra: Australian Institute of Health and Welfare; 2016.

    Google Scholar 

  83. Ioannides-Demos L, Makarounas-Kirchmann K, Ashton E, et al. Cost of myocardial infarction to the Australian community: a prospective, multicentre survey. Clin Drug Investig. 2010;30(8):533–43.

    Article  PubMed  Google Scholar 

  84. Garth B, Temple-Smith M, Clark M, et al. ‘Your lack of organisation doesn’t constitute our emergency’: repeat prescription management in general practice. Aust Fam Phys. 2014;43(6):404–8.

    Google Scholar 

  85. Trussell J. Contraceptive failure in the United States. Contraception. 2011;83(5):397–404.

    Article  PubMed  PubMed Central  Google Scholar 

  86. National Institute for Health and Clinical Excellence. Final appraisal determination: routine antenatal anti-D prophylaxis for women who are RhD negative (review of technology appraisal guidance 41). London: National Institute for Health and Clinical Excellence; 2008.

    Google Scholar 

  87. Edney LC, Afzali HHA, Cheng TC, et al. Estimating the reference incremental cost-effectiveness ratio for the Australian health system. Pharmacoeconomics. 2018;36(2):239–52.

    Article  PubMed  Google Scholar 

  88. Australian Bureau of Statistics. Births Australia, 2016, Cat. no. 3301.0. Canberra: Australian Bureau of Statistics; 2016.

    Google Scholar 

  89. National health (continued dispensing) determination 2012. Canberra: Commonwealth Government of Australia; 2012.

  90. Australian Health Ministers’ Advisory Council. Scheduling policy framework for medicines and chemicals. Version 1.0. Canberra: Therapeutic Goods Administration; 2018.

    Google Scholar 

  91. Batesman D, Brassil A, Calabretto H, et al. Consensus statement: reducing unintended pregnancy for Australian women through increased access to long-acting reversible contraceptive methods. Deakin: Australian Healthcare and Hospitals Association; 2017.

    Google Scholar 

  92. Goldhaber-Fiebert JD, Brandeau ML. Evaluating cost-effectiveness of interventions that affect fertility and childbearing: how health effects are measured matters. Med Decis Mak. 2015;35(7):818–46.

    Article  Google Scholar 

Download references

Acknowledgements

We thank Dr. Deborah Bateson for her invaluable suggestions on the manuscript prior to submission, such as including the criterion that the woman has previously been prescribed an OCP, including the impact on cancer mortality and reporting the impact on long-acting reversible contraceptive use. We also thank Rajan Sharma for research assistance, particularly conducting systematic reviews for parameter inputs. This paper uses unit record data from the HILDA Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this paper, however, are those of the authors and should not be attributed to either the DSS or the Melbourne Institute.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bonny Parkinson.

Ethics declarations

Funding

This study was funded by a grant from the Australian Self-Medication Industry. The funding agreement ensured the authors’ independence in designing the economic evaluation, its inputs or the writing of the article.

Conflict of interest

Mutsa Gumbie, Bonny Parkinson, Henry Cutler and Virginia Mumford have no conflicts of interest that are directly relevant to the content of this article. Natalie Gauld has received consulting fees from Green Cross Health for reclassifying oral contraceptives in New Zealand, has received an honorarium and expenses for attending a meeting for HRA Pharma, is a Board Member of the Pharmaceutical Society of New Zealand, and receives consulting fees, research funding and speaker’s fees relating to reclassification.

Author Contributions

BP and HC conceived the idea for the study. MG and BP developed the economic model and conducted the data analysis. NG and VM provided advice on parameter inputs. MG drafted the initial paper. All authors were involved in the interpretation of the results and revision of the manuscript.

Data Availability

All parameter inputs and the economic model are available in the ESM.

Electronic Supplementary Material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gumbie, M., Parkinson, B., Cutler, H. et al. Is Reclassification of the Oral Contraceptive Pill from Prescription to Pharmacist-Only Cost Effective? Application of an Economic Evaluation Approach to Regulatory Decisions. PharmacoEconomics 37, 1049–1064 (2019). https://doi.org/10.1007/s40273-019-00804-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40273-019-00804-6

Navigation