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A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients

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Abstract

Background

Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs).

Objective

The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria.

Method

Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings.

Results

Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs.

Conclusion

Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers.

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References

  1. Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: the challenges ahead. Lancet. 2009;374(9696):1196–208.

    Article  PubMed  Google Scholar 

  2. McLean AJ, Le Couteur DG. Aging biology and geriatric clinical pharmacology. Pharmacol Rev. 2004;56(2):163–84.

    Article  PubMed  CAS  Google Scholar 

  3. Lee PG, Cigolle C, Blaum C. The co-occurrence of chronic diseases and geriatric syndromes: the health and retirement study. J Am Geriatr Soc. 2009;57(3):511–6.

    Article  PubMed  Google Scholar 

  4. Morgan TK, Williamson M, Pirotta M, Stewart K, Myers SP, Barnes J. A national census of medicines use: a 24-hour snapshot of Australians aged 50 years and older. Med J Aust. 2012;196(1):50–3.

    Article  PubMed  Google Scholar 

  5. Viktil KK, Blix HS, Moger TA, Reikvam A. Polypharmacy as commonly defined is an indicator of limited value in the assessment of drug-related problems. Br J Clin Pharmacol. 2007;63(2):187–95.

    Article  PubMed  Google Scholar 

  6. Ruiter R, Visser LE, Rodenburg EM, Trifiro G, Ziere G, Stricker BH. Adverse drug reaction-related hospitalizations in persons aged 55 years and over: a population-based study in the Netherlands. Drugs Aging. 2012;29(3):225–32.

    Article  PubMed  Google Scholar 

  7. Hilmer SN, Mager DE, Simonsick EM, Ling SM, Windham BG, Harris TB, et al. Drug burden index score and functional decline in older people. Am J Med. 2009;122(12):1142–9, e1–2.

    Google Scholar 

  8. Hanlon JT, Artz MB, Pieper CF, Lindblad CI, Sloane RJ, Ruby CM, et al. Inappropriate medication use among frail elderly inpatients. Ann Pharmacother. 2004;38(1):9–14.

    Article  PubMed  Google Scholar 

  9. Cherubini A, Corsonello A, Lattanzio F. Underprescription of beneficial medicines in older people: causes, consequences and prevention. Drugs Aging. 2012;29(6):463–75.

    Article  PubMed  CAS  Google Scholar 

  10. Chan M, Nicklason F, Vial JH. Adverse drug events as a cause of hospital admission in the elderly. Intern Med J. 2001;31(4):199–205.

    Article  PubMed  CAS  Google Scholar 

  11. Donohue JM, Marcum ZA, Gellad WF, Lave JR, Men A, Hanlon JT. Medicare part D and potentially inappropriate medication use in the elderly. Am J Manag Care. 2012;18(9):e315–22.

    PubMed  Google Scholar 

  12. Fick DM, Cooper JW, Wade WE, Waller JL, Maclean JR, Beers MH. Updating the Beers criteria for potentially inappropriate medication use in older adults: results of a US consensus panel of experts. Arch Intern Med. 2003;163(22):2716–24.

    Article  PubMed  Google Scholar 

  13. Gallagher P, Ryan C, Byrne S, Kennedy J, O’Mahony D. STOPP (Screening Tool of Older Person’s Prescriptions) and START (Screening Tool to Alert doctors to Right Treatment). Consensus validation. Int J Clin Pharmacol Ther. 2008;46(2):72–83.

    Article  PubMed  CAS  Google Scholar 

  14. American Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2012;60(4):616–31.

    Google Scholar 

  15. Basger BJ, Chen TF, Moles RJ. Inappropriate medication use and prescribing indicators in elderly Australians: development of a prescribing indicators tool. Drugs Aging. 2008;25(9):777–93.

    Article  PubMed  Google Scholar 

  16. Levy HB, Marcus EL, Christen C. Beyond the beers criteria: a comparative overview of explicit criteria. Ann Pharmacother. 2010;44(12):1968–75.

    Article  PubMed  Google Scholar 

  17. Dimitrow MS, Airaksinen MS, Kivela SL, Lyles A, Leikola SN. Comparison of prescribing criteria to evaluate the appropriateness of drug treatment in individuals aged 65 and older: a systematic review. J Am Geriatr Soc. 2011;59(8):1521–30.

    Article  PubMed  Google Scholar 

  18. Chang CB, Chan DC. Comparison of published explicit criteria for potentially inappropriate medications in older adults. Drugs Aging. 2010;27(12):947–57.

    Article  PubMed  Google Scholar 

  19. Gallagher P, O’Mahony D. STOPP (Screening Tool of Older Person's Prescriptions): application to acutely ill elderly patients and comparison with Beers’ criteria. Age Ageing. 2008;37(6):673–9.

    Article  PubMed  Google Scholar 

  20. Hamilton H, Gallagher P, Ryan C, Byrne S, O’Mahony D. Potentially inappropriate medications defined by STOPP criteria and the risk of adverse drug events in older hospitalized patients. Arch Intern Med. 2011;171(11):1013–9.

    Article  PubMed  Google Scholar 

  21. Ryan C, O’Mahony D, Kennedy J, Weedle P, Byrne S. Potentially inappropriate prescribing in an Irish elderly population in primary care. Br J Clin Pharmacol. 2009;68(6):936–47.

    Article  PubMed  Google Scholar 

  22. Chang CB, Chen JH, Wen CJ, Kuo HK, Lu IS, Chiu LS, et al. Potentially inappropriate medications in geriatric outpatients with polypharmacy: application of six sets of published explicit criteria. Br J Clin Pharmacol. 2011;72(3):482–9.

    Article  PubMed  Google Scholar 

  23. Garcia-Gollarte F, Baleriola-Julvez J, Ferrero-Lopez I, Cruz-Jentoft AJ. Inappropriate drug prescription at nursing home admission. J Am Med Dir Assoc. 2012;13(1):83, e9–15.

    Google Scholar 

  24. Stafford AC. A clinical and economic evaluation of medication reviews conducted by pharmacists for community-dwelling Australians. Hobart: University of Tasmania; 2012.

    Google Scholar 

  25. Department of human services. Home Medicines Review (HMR). 2010. Cited 2012. http://www.medicareaustralia.gov.au/provider/pbs/fourth-agreement/hmr.jsp.

  26. WHO Collaborating Centre for Drug Statistics Methodology. ATC classification index with DDDs. 2012. Cited 2012. http://www.whocc.no/atc_ddd_publications/atc_ddd_index/.

  27. Family medicine research centre. ICPC-2 plus overview. 2012. Cited 2012. http://sydney.edu.au/medicine/fmrc/icpc-2-plus/index.php.

  28. R Core Team. R: a language and environment for statistical computing. 2.15.3 ed. Vienna: R Foundation for Statistical Computing; 2012.

  29. Spinewine A, Schmader KE, Barber N, Hughes C, Lapane KL, Swine C, et al. Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet. 2007;370(9582):173–84.

    Article  PubMed  Google Scholar 

  30. Budnitz DS, Lovegrove MC, Shehab N, Richards CL. Emergency hospitalizations for adverse drug events in older Americans. N Engl J Med. 2011;365(21):2002–12.

    Article  PubMed  CAS  Google Scholar 

  31. Jano E, Aparasu RR. Healthcare outcomes associated with beers’ criteria: a systematic review. Ann Pharmacother. 2007;41(3):438–47.

    Article  PubMed  Google Scholar 

  32. Lund BC, Steinman MA, Chrischilles EA, Kaboli PJ. Beers criteria as a proxy for inappropriate prescribing of other medications among older adults. Ann Pharmacother. 2011;45(11):1363–70.

    Article  PubMed  Google Scholar 

  33. Page RL 2nd, Linnebur SA, Bryant LL, Ruscin JM. Inappropriate prescribing in the hospitalized elderly patient: defining the problem, evaluation tools, and possible solutions. Clin Interv Aging. 2010;5:75–87.

    Article  PubMed  CAS  Google Scholar 

  34. Basger BJ, Chen TF, Moles RJ. Application of a prescribing indicators tool to assist in identifying drug-related problems in a cohort of older Australians. Int J Pharm Pract. 2012;20(3):172–82.

    Article  PubMed  Google Scholar 

  35. Ho PM, Spertus JA, Masoudi FA, Reid KJ, Peterson ED, Magid DJ, et al. Impact of medication therapy discontinuation on mortality after myocardial infarction. Arch Intern Med. 2006;166(17):1842–7.

    Article  PubMed  Google Scholar 

  36. Huynh LT, Chew DP, Sladek RM, Phillips PA, Brieger DB, Zeitz CJ. Unperceived treatment gaps in acute coronary syndromes. Int J Clin Pract. 2009;63(10):1456–64.

    Article  PubMed  CAS  Google Scholar 

  37. Basger BJ, Chen TF, Moles RJ. Validation of prescribing appropriateness criteria for older Australians using the RAND/UCLA appropriateness method. BMJ Open. 2012;2(5):e001431.

    Google Scholar 

  38. Vassallo P, Trohman RG. Prescribing amiodarone: an evidence-based review of clinical indications. JAMA. 2007;298(11):1312–22.

    Article  PubMed  CAS  Google Scholar 

  39. Ryan C, O’Mahony D, O’Donovan DO, O’Grady E, Weedle P, Kennedy J, et al. A comparison of the application of STOPP/START to patients’ drug lists with and without clinical information. Int J Clin Pharm. 2012;35(2):230–5.

    Google Scholar 

  40. Regenstrief Institute Inc. Logical Observation Identifiers Names and Codes (LOINC®)—LOINC. Cited 17 Jan 2013. http://loinc.org/.

  41. International Health Terminology Standards Development Organisation. International Health Terminology Standards Development Organisation SNOMED CT. Cited 17 Jan 2013. http://www.ihtsdo.org/snomed-ct/.

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Acknowledgments

No sources of funding were used to conduct this study or prepare this manuscript. The authors have no conflicts of interest that are directly relevant to the content of this study. Development of queries was assisted by Peter Gee, Unit for Medication Outcomes Research and Education, School of Pharmacy, University of Tasmania, Tasmania, Australia.

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Correspondence to Colin M. Curtain.

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Curtain, C.M., Bindoff, I.K., Westbury, J.L. et al. A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients. Drugs Aging 30, 935–943 (2013). https://doi.org/10.1007/s40266-013-0116-6

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