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In with the new: the determinants of prescribing innovation by general practitioners in Ireland

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Abstract

An important element of the process by which new drugs achieve widespread use is their adoption by GPs. In this paper, we explore the factors that shape the timing of the first prescription of six new drugs by General Practitioners in Ireland. Our analysis is based on a dataset that matches prescription data with data on GP characteristics. We then use duration analysis to explore both equilibrium and non-equilibrium determinants of prescribing innovation. Our study highlights a range of commonalities across all of the drugs considered and suggests the importance of GP and practice characteristics in shaping prescribing decisions. We also find strongly significant, and consistently signed, stock and order effects across these drugs: GPs who have a track record of early adoption tend also to be early adopters of other new drugs; and, the larger the proportion of GPs which have already adopted a new drug the slower is subsequent adoption. Epidemic and learning effects are also evident with slower adoption by rural practices and among those GPs with narrower prescribing portfolios.

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Notes

  1. Ireland has a low number of GPs per capita in comparison with other EU countries. It is estimated Ireland has approximately 52–56 GPs per 100,000 of the population. Countries such as Austria, France and Germany have over 100 GPs per 100,000. Irish GPs are, however, considered well paid in relation to their EU colleagues; Irish GPs are paid four times the GDP per capita value, a higher multiple than in the UK, Germany, the Netherlands, France and Sweden [5].

  2. In Budget 2010, a new charge of 50% item was announced to be introduced in October 2010. This charge did not apply within the timeframe of this study.

  3. GPs are remunerated for treating GMS patients on a capitation basis. The capitation fees are calculated based on the following factors: (1) a demographic factor designed to reflect differences in demands by various age and gender groups, and (2) a geographic factor designed to reflect the expenses incurred in visiting patients in various age/distance categories [5].

  4. In 2008, the average income for a GP in Ireland with a GMS contract was €220,000 [8].

  5. General practices are not obliged to display the price of a consultation, although an updated Guide to Professional Conduct and Ethics for Registered Medical Practitioners specifies that GPs can display prices. In 2009, the Competition Authority estimated that the average cost of a GP visit for a private patient is approximately €50–55 in urban areas, with slightly lower charges in rural areas [8]. The National Consumer Agency also reported a wide range of prices for GP visits, averaging at €51, with a minimum of €35 and a maximum of €70 [5].

  6. Drugs authorised by the IMB do not automatically receive a GMS code, although most drugs do. This is discussed in more detail in Sect. 3.

  7. However, previous studies have reported that NICE guidance has little or no impact on GPs prescribing behaviour or uptake of new medicines [1012].

  8. We are concerned with the ‘prescribing innovation’, i.e. a GPs decision to prescribe a new drug for the first time rather than the ‘new drug’ innovation.

  9. Irish general practices vary widely in size and personal characteristics with O’Dowd et al. [31] estimating that 35% of general practices were solo-practitioner practices, with the remainder comprising of two GP practices (30%), three GP practices (20%) or four or more GP practices (15%). Not all general practices have nursing and clerical support. 35% of practices employ a full-time nurse and 70% of practices employ full-time clerical assistance. Less than one in three practices employ a practice manager [31].

  10. When a GMS patient gets a prescription from a GP, they fill it either in a pharmacy or, if their GP has a dispensing licence, at the GP practice. The medicine is dispensed free of charge to the patient and a duplicate of the prescription is sent by the dispenser to the GMS (Payments) Board for payment.

  11. Nicotine drugs, nasal sprays and chewing gum, are also available to purchase without prescription.

  12. This may reflect a ‘new year resolution’ effect as people seek support for giving up smoking.

  13. Specifically, the order variables take a value of one where a GP first prescribed one of the other five drugs considered here in the first 6 months after its first adoption. Between 25 and 35% of GPs may be considered ‘first adopters’ and take a value of one in relation to these order variables.

  14. There is no official comprehensive register of practicing GPs in Ireland; however, it is estimated that there are approximately 2,500 GPs in Ireland [31, 39, 40]. Our data therefore covers around a quarter of all Irish GPs.

  15. Participation in the Indicative Drug Treatment Scheme was voluntary and GPs retained the right and obligation to prescribe as they considered necessary. No sanctions were in place for those GPs who failed to reduce costs.

  16. In practice, and despite some experimentation, we found that our duration models did not converge when we attempted to control for unobserved heterogeneity. This issue has been noted in the literature [44] and we discuss the implications of this in the following section.

  17. The data analysis and statistical software package Stata 11 is used to conduct the econometric analysis [45].

  18. Given that not all GPs have adopted each drug by the end of the sample period, the data are right-censored. As a robustness check, we removed the non-adopters for each drug from the sample and ran the duration models individually. The same results as those reported were obtained. We are grateful to a referee for highlighting this point.

  19. However, not all small business adoption studies report significant findings in relation to age, For example, Burton et al. [38] report no statistically significant relationship between age of a farmer and the adoption of organic horticultural technology.

  20. Being an early prescriber of one drug in our data does predict early adoption of some drugs. However, it is not a strong predictor of being an early adopter of all drugs examined. For instance, no GP in the sample adopted all six drugs within the first 6 months of them being adopted. This contradicts the image of early adopters as being related to a general innovative predisposition. Therefore, it appears that a GPs decision to prescribe is heavily dependent on the new drugs in question [27, 34].

  21. The Stata command ‘streg’ is used in our analysis. We included the ‘frailty’ option to control for unobserved heterogeneity.

References

  1. Prosser, H., Almond, S., Walley, T.: Influences on GPs’ decision to prescribe new drugs—the importance of who says what. Family Pract. 20, 61–68 (2009)

    Article  Google Scholar 

  2. Thistlehwaite, J.E., Ajjawi, R., Aslani, P.: The decision to prescribe: influences and choice. InnovAiT 3(4), 237–243 (2010)

    Article  Google Scholar 

  3. Jones, M.I., Greenfield, S.M., Bradley, C.P.: Prescribing new drugs: qualitative study of influences on consultants and general practitioners. BMJ 323(7309), 378 (2001)

    Article  CAS  PubMed  Google Scholar 

  4. Rogers, E.M.: Diffusion of Innovations, 5th edn. Free Press, New York (2003)

    Google Scholar 

  5. Layte, R., et al.: Projecting the impact of demographic change on the demand for and delivery of health care in Ireland. In: Layte, R. (ed). ESRI, Dublin (2009)

  6. Wren, M.-A.: Unhealthy State: Anatomy of a Sick Society. New Island, Dublin (2003)

    Google Scholar 

  7. Ireland: Primary Care: A New Direction. Government of Ireland, Dublin (2001)

    Google Scholar 

  8. Competition Authority: Competition in Professional Services. General Medical Practitioners. Competition Authority, Dublin (2009)

    Google Scholar 

  9. Thomas, S., Normand, C., Smith, S.: Social Health Insurance: Further Options for Ireland, pp. 1–45. Trinity College Dublin, Dublin (2008)

    Google Scholar 

  10. Carlsen, B., Glenton, C., Pope, C.: Thou shalt versus thou shalt not: a meta-analysis of GPs’ attitudes to clinical practice guidelines. Br. J. Gen. Pract. 57, 971–978 (2007)

    Article  PubMed  Google Scholar 

  11. Mason, A.: New medicines in primary care: a review of influences on general practitioner prescribing. J. Clin. Pharm. Ther. 33, 1–10 (2008)

    Article  CAS  PubMed  Google Scholar 

  12. Wathen, B., Dean, T.: An evaluation of the impact of NICE guidance on GP prescribing. Br. J. Gen. Pract. 54, 103–107 (2004)

    PubMed  Google Scholar 

  13. Karshenas, M., Stoneman, P.L.: Rank, Stock, Order, and epidemic effects in the diffusion of new process technologies: an empirical model. RAND J. Econ. 24(4), 503–528 (1993)

    Article  Google Scholar 

  14. Baptista, R.: Do innovations diffuse faster within geographical clusters? Int. J. Ind. Organization 18(3), 515–535 (2000)

    Article  Google Scholar 

  15. Schumpeter, J.A.: Capitalism, Socialism and Democracy. Harper and Brothers, New York (1942)

    Google Scholar 

  16. Hall, B.: Innovation and diffusion. In: Fagerberg, J., Mowery, D., Nelson, R.R. (eds.) Handbook of Innovation. Oxford University Press, Oxford (2004)

    Google Scholar 

  17. Battisti, G., et al.: Inter and intra firm diffusion of ICT in the United Kingdom (UK) and Switzerland (CH): an internationally comparative study base on firm-level data. Econ. Innovation New Technol. 16(8), 669–687 (2007)

    Article  Google Scholar 

  18. McWilliams, B., Zilbermanfr, D.: Time of technology adoption and learning by using. Econ. Innovation New Technol. 4(2), 139–154 (1996)

    Article  Google Scholar 

  19. Rosenberg, N.: Inside the Black Box: Technology and Economics. Cambridge University Press, Cambridge (1982)

    Google Scholar 

  20. Stoneman, P., Kwon, M.-J.: The diffusion of multiple process technologies. Econ. J. 104(423), 420–431 (1994)

    Article  Google Scholar 

  21. Colombo, M.G., Mosconi, R.: Complementarity and cumulative learning effects in the early diffusion of multiple technologies. J. Ind. Econ. 43(1), 13–48 (1995)

    Article  Google Scholar 

  22. Stoneman, P., Toivanen, O.: The diffusion of multiple technologies: an empirical study. Econ. Innovation New Technol. 5(1), 1–17 (1997)

    Article  Google Scholar 

  23. Arvantis, S., Hollenstein, H.: The determinants of the adoption of advanced manufacturing technology. Econ. Innovation New Technol. 10, 377–414 (2001)

    Article  Google Scholar 

  24. Coleman, J., Katz, E., Menzel, H.: Medical Innovation: A Diffusion Study. Bobbs Merrill, New York (1966)

    Google Scholar 

  25. Kozyrskyj, A., Raymond, C., Racher, A.: Characterizing early prescribers of newly marketed drugs in Canada: a population-based study. Eur. J. Clin. Pharmacol. 63, 597–604 (2007)

    Article  PubMed  Google Scholar 

  26. Williamson, P.M.: The adoption of new drugs by doctors practising in group and Solo practice. Social Sci. Med. 9, 233–236 (1975)

    Article  CAS  Google Scholar 

  27. Steffensen, F.H., Toft Sorensen, H., Olesen, F.: Diffusion of new drugs in Danish general practice. Family Pract. 16(4), 407–413 (1999)

    Article  CAS  Google Scholar 

  28. Tamblyn, R., et al.: Physician and practice characteristics associated with the early utilisation of new prescription drugs. Med. Care 41(8), 895–908 (2003)

    Article  PubMed  Google Scholar 

  29. Dybdahl, T., et al.: Does the early adopter of drugs exist? a population-based study of general practitioners’ prescribing of new drugs. Eur. J. Clin. Pharmacol. 60, 667–672 (2004)

    Article  PubMed  Google Scholar 

  30. Florentinus, S.R.: New drugs in general practice: prescribing patterns and external influences. In: Utrecht Institute for Pharamacutical Devices, Utrecht (2006)

  31. O’Dowd, T., O’Kelly, M., O’Kelly, F.: Structure of general practice in Ireland, 1982–2005. Irish College of General Practitioners and Trinity College Dublin, Dublin (2006)

    Google Scholar 

  32. Scott, A.: Economics of general practice. In: Anthony, J.C.J. (ed.) Handbook of Health Economic. Elsevier (2000)

  33. Kann, I.C., Biorn, E., Luras, H.: Competition in general practice: prescriptions to the elderly in a list patient system. J. Health Econ. 29, 751–764 (2010)

    Article  PubMed  Google Scholar 

  34. Dybdahl, T., et al.: General practitioners’ adoption of new drugs and previous prescribing of drugs belonging to the same therapeutic class: a pharmacoepidemiological study. Br. J. Clin. Pharmacol. 60(5), 526–533 (2005)

    Article  PubMed  Google Scholar 

  35. Baptista, R.: The diffusion of process innovations: a selective review. Int. J. Econ. Bus. 6(1), 107–129 (1999)

    Article  Google Scholar 

  36. Battisti, G., Stoneman, P.: The intra-firm diffusion of new process technologies. Int. J. Ind. Organization 23(1–2), 1–22 (2005)

    Article  Google Scholar 

  37. Hollenstein, H., Woerter, M.: The decision to adopt internet-based E-commerce. An empirical analysis based on swiss firm-level data. In: KOF Working Paper. Zurich (2004)

  38. Burton, M., Rigby, D., Young, T.: Modelling the adoption of organic horticulture technology in the UK using duration analysis. Aust J. Agricultual Resour. Econ. 47(1), 29–54 (2003)

    Article  Google Scholar 

  39. Leahy, A., Wiley, M.: The Irish Health System in the 21st Century. Oak Tree Press, Dublin (1998)

    Google Scholar 

  40. Barry, M., et al.: Projecting the impact of demographic change on the demand for and delivery of health care in Ireland. In: Layte, R. (ed.) p. 178. Economic and Social Research Institute, Dublin (2009)

  41. Jenkins, S.P.: Lessons on survival analysis. Available from. http://www.iser.essex.ac.uk/study/resources/module-ec968 (2005)

  42. Greene, W.H.: Econometric Analysis, 5th edn. Prentice Hall, New Jersey (2003)

    Google Scholar 

  43. Kiefer, N.M.: Economic duration data and hazard functions. J. Eco. Literature 26(2), 646–679 (1988)

    Google Scholar 

  44. Jenkins, S.P.: Survival analysis. In: Unpublished Lecture Notes (2003)

  45. StataCorp: Stata Statistical Software: Release 11. StataCorp LP, College Station, TX (2009)

    Google Scholar 

  46. Masters, K.: For what purpose and reasons do doctors use the internet: a systematic review. Int. J. Med. Informatics 77(1), 4–16 (2008)

    Article  Google Scholar 

  47. Meade, B., Buckley, D., Boland, M.: What factors affect the use of electronic patient records by Irish GPs? Int. J. Med. Informatics 78(8), 551–558 (2009)

    Article  Google Scholar 

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Acknowledgments

Valuable comments on earlier drafts were received from participants at the Irish Economic Association (IEA) Conference April 2010, the Health Economists Association of Ireland (HEAI) May 2010, the Health Economics Study Group (HESG) June 2010 and a number of New Staff Development Workshops, Department of Economics, University College Cork. Valuable comments were also received from two anonymous referees. We would like to thank Dr. Brendan McElroy for his generous assistance in relation to acquiring the prescribing and GP characteristics databases from the HSE’s Primary Care Reimbursement Service. Opinions and errors in the paper are the sole responsibility of the authors.

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Correspondence to Jane Bourke.

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Bourke, J., Roper, S. In with the new: the determinants of prescribing innovation by general practitioners in Ireland. Eur J Health Econ 13, 393–407 (2012). https://doi.org/10.1007/s10198-011-0311-5

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