Consensus validation of the FORTA (Fit fOR The Aged) List: a clinical tool for increasing the appropriateness of pharmacotherapy in the elderly

Alexandra M Kuhn-Thiel, Christel Weiß, Martin Wehling, FORTA authors/expert panel members, Martin Wehling, Heinrich Burkhardt, Lutz Frölich, Stefan Schwarz, Ulrich Wedding, Jürgen Bauer, Heiner K Berthold, Peter Dovjak, Helmut Frohnhofen, Thomas Frühwald, Christoph Gisinger, Manfred Gogol, Markus Gosch, Hans Gutzmann, Isabella Heuser, Werner Hofmann, Michael Hüll, Bernhard Iglseder, Anja Kwetkat, Michael Meisel, Wolfgang Mühlberg, Wolfgang von Renteln-Kruse, Regina Roller, Ralf-Joachim Schulz, Ulrike Sommeregger, Alexandra M Kuhn-Thiel, Christel Weiß, Martin Wehling, FORTA authors/expert panel members, Martin Wehling, Heinrich Burkhardt, Lutz Frölich, Stefan Schwarz, Ulrich Wedding, Jürgen Bauer, Heiner K Berthold, Peter Dovjak, Helmut Frohnhofen, Thomas Frühwald, Christoph Gisinger, Manfred Gogol, Markus Gosch, Hans Gutzmann, Isabella Heuser, Werner Hofmann, Michael Hüll, Bernhard Iglseder, Anja Kwetkat, Michael Meisel, Wolfgang Mühlberg, Wolfgang von Renteln-Kruse, Regina Roller, Ralf-Joachim Schulz, Ulrike Sommeregger

Abstract

Background: Multimorbidity and polypharmacy represent a major problem for elderly patients; improvement of medication schemes is important and listing approaches (e.g. Beers list) are considered to be potentially useful.

Objectives: The aim of this study was to perform expert consensus validation of the FORTA (Fit fOR The Aged) List, a drug classification combining positive and negative labelling of drugs chronically prescribed to elderly patients.

Methods: A two-round Delphi procedure was conducted involving 20 experts, 17 geriatric internists and 3 geriatric psychiatrists from Germany and Austria, evaluating the labels assigned to 190 substances or substance groups. These labels ranged from A (indispensable), B (beneficial), C (questionable) to D (avoid), depending on the state of evidence for safety, efficacy and overall age-appropriateness. The experts were also requested to suggest additional substances and indication areas for assessment and possible inclusion in the FORTA List. A weighted (corrected) consensus coefficient was generated for each substance to reflect (1) agreement with the original label, and (2) distribution among raters' labels.

Results: The overall consensus for all items and raters was 92% (corrected). For 54/190 items (28.4%), a unanimous response was achieved as to the original author-based FORTA label choice. Twenty-four substances (12.6%) fell short of the consensus cutoff and were re-evaluated in a second round. This yielded confirmation of 171/190, or 90%, of the original author-based FORTA labels. A total of 35 new substances were also accepted for the FORTA List. Drugs used for dementia and dementia syndromes provoked particular response heterogeneity.

Conclusion: The FORTA List now reflects a wider consensus among experts, increasing its validity for clinical use. It represents a tool to improve the quality of drug prescription in older patients by identifying both inappropriate and omitted drugs, and thus overtreatment and undertreatment. The validation of FORTA's impact on clinical endpoints has yielded promising preliminary results, to be corroborated in ongoing larger trials.

References

    1. US Department of Commerce, US Census Bureau. The older population; 2011 (online). . Accessed 2 Jul 2013.
    1. Böhm K, Tesch-Römer C, Ziese T (eds) Gesundheitsberichterstattung des Bundes 2009: Gesundheit und Krankheit im Alter. Berlin: Robert Koch Institute; 2009 [in German]. . Accessed 2 Jul 2013.
    1. Kaufman DW, Kelly JP, Rosenberg L, et al. Recent patterns of medication use in the ambulatory adult population of the United States: the Slone Survey. JAMA. 2002;287:337–344. doi: 10.1001/jama.287.3.337.
    1. Van den Akker M, Buntinx F, Metsemakers JF, et al. Multimorbidity in general practice: prevalence, incidence, and determinants of co-occurring chronic and recurrent diseases. J Clin Epidemiol. 1998;51:367–375. doi: 10.1016/S0895-4356(97)00306-5.
    1. Mangoni AA, Jackson SHD. Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications. Br J Clin Pharmacol. 2003;57:6–14. doi: 10.1046/j.1365-2125.2003.02007.x.
    1. Edwards IR, Aronson JK. Adverse drug reactions: definitions, diagnosis, and management. Lancet. 2000;356:1255–1259. doi: 10.1016/S0140-6736(00)02799-9.
    1. Rochon PA, Gurwitz JH. Optimising drug treatment for elderly people: the prescribing cascade. Br Med J. 1997;315:1096–1099. doi: 10.1136/bmj.315.7115.1096.
    1. Chyka PA. How many deaths occur annually from adverse drug reactions in the United States? Am J Med. 2000;109:122–130. doi: 10.1016/S0002-9343(00)00460-5.
    1. Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;279:1200–1205. doi: 10.1001/jama.279.15.1200.
    1. Borchelt M. Potential side-effects and interactions in multiple medication in elderly patients: methodology and results of the Berlin Study of Aging. Z Gerontol Geriatr. 1995;28:420–428.
    1. Michel J-P, Pils K, Sieber C. Commentary on “The future history of geriatrics: geriatrics at the crossroads”. J Gerontol Med Sci. 2002;57A:M812–M813. doi: 10.1093/gerona/57.12.M812.
    1. Evans JG. Geriatric medicine: a brief history. Br Med J. 1997;315:1075–1077. doi: 10.1136/bmj.315.7115.1075.
    1. Wehling M. Guideline-driven polypharmacy in elderly, multimorbid patients is basically flawed: there are almost no guidelines for these patients. J Am Geriatr Soc. 2011;59:376–377. doi: 10.1111/j.1532-5415.2011.03252.x.
    1. Gillick M. Choosing appropriate medical care for the elderly. J Am Med Dir Assoc. 2001;2:305–309. doi: 10.1016/S1525-8610(04)70227-3.
    1. Barenholtz Levy H, Marcus EL, Christen C. Beyond the Beers Criteria: a comparative overview of explicit criteria. Ann Pharmacother. 2010;44:1968–1975. doi: 10.1345/aph.1P426.
    1. Beers MH. Explicit criteria for determining potentially inappropriate medication use by the elderly: an update. Arch Intern Med. 1997;157:1531–1536. doi: 10.1001/archinte.1997.00440350031003.
    1. Fick DM, Semla TP. American Geriatrics Society Beers Criteria: new year, new criteria, new perspective. J Am Geriatr Soc. 2012;60:614–615. doi: 10.1111/j.1532-5415.2012.03922.x.
    1. Holt S, Schmiedl S, Thürmann PA. Potentially inappropriate medications in the elderly: the Priscus List. Dtsch Ärztebl Int. 2010;107:543–551.
    1. Page RL, Ruscin JM. The risk of adverse drug events and hospital-related morbidity and mortality among older adults with potentially inappropriate medication use. Am J Geriatr Pharmacother. 2006;4:297–305. doi: 10.1016/j.amjopharm.2006.12.008.
    1. Gallagher P, Ryan C, Byrne S, et al. 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;46:72–83. doi: 10.5414/CPP46072.
    1. Barry PJ, Gallagher P, Ryan C, O’Mahony D. START (screening tool to alert doctors to the right treatment): an evidence-based screening tool to detect prescribing omissions in elderly patients. Age Ageing. 2007;36:632–638. doi: 10.1093/ageing/afm118.
    1. Lam MPS, Cheung BMY. The use of STOPP/START criteria as a screening tool for assessing the appropriateness of medications in the elderly population. Expert Rev Clin Pharmacol. 2012;5:187–197. doi: 10.1586/ecp.12.6.
    1. Wehling M. Drug therapy in the elderly: too much or too little, what to do? A new assessment system: fit for the aged (FORTA) Dtsch Med Wochenschr. 2008;133:2289–2291. doi: 10.1055/s-0028-1091275.
    1. Wehling M. Multimorbidity and polypharmacy: how to reduce the harmful drug load and yet add needed drugs in the elderly? Proposal of a new drug classification: fit for the aged. J Am Geriatr Soc. 2009;57:560–561. doi: 10.1111/j.1532-5415.2009.02131.x.
    1. Wehling M, Burkhardt H. Arzneitherapie für Ältere. 2. Heidelberg: Springer; 2011.
    1. Hsu C, Sandford BA. The Delphi technique: making sense of consensus. Pract Assess Res Eval 2007;12:1–7. . Accessed 2 Jul 2013.
    1. Häder M. Delphi-Befragungen: Ein Arbeitsbuch. 2. Wiesbaden: VS Verlag für Sozialwissenschaften/GWV Fachverlage GmbH; 2009.
    1. Cicchetti DV, Allison T. A new procedure for assessing reliability of EEG sleep recordings. Am J EEG Technol. 1971;11:101–109.
    1. Cohen J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull. 1968;70:213–220. doi: 10.1037/h0026256.
    1. Stevens SS. On the theory of scales of measurement. Science. 1946;103(2684):677–80. . Accessed 12 Oct 2013.
    1. Altman DG. Practical statistics for medical research. London: Chapman & Hall; 1990. p. 15.
    1. Fitch K, Bernstein S, Aguilar MD, et al. The RAND/UCLA appropriateness method user’s manual. Santa Monica: RAND; 2001.
    1. Stitt-Gohdes WL, Crews TB. The Delphi technique: a research strategy for career and technical education. JCTE. 2004;20:55–67.
    1. Musto DF. The American disease: origins of narcotic control, expanded edition. New York: Oxford University Press, Inc; 1987.
    1. Alexopoulos GS, Streim J, Carpenter D, Docherty JP, Expert Consensus Panel for Using Antipsychotic Drugs in Older Patients. Using antipsychotic agents in older patients. J Clin Psychiatry. 2004;65 Suppl 2:5–99.
    1. Stevenson DG, Decker SL, Dwyer LL, et al. Antipsychotic and benzodiazepine use among nursing home residents: findings from the 2004 National Nursing Home Survey. Am J Geriatr Psychiatry. 2010;18:1078–1092. doi: 10.1097/JGP.0b013e3181d6c0c6.
    1. Birks J, Grimley Evans J. Ginkgo biloba for cognitive impairment and dementia. Cochrane Database Syst Rev. 2009;(1):CD003120.
    1. Frohnhofen H, Michalek C, Wehling M. Assessment of drug treatment in geriatrics with the new FORTA criteria: preliminary clinical experience. Dtsch Med Wochenschr. 2011;136:1417–1421. doi: 10.1055/s-0031-1281530.
    1. Frohnhofen H, Wehling M, Michalek C. Erste klinische Erfahrungen mit der neuen FORTA-Klassifikation (Abstract) Z Gerontol Geriatr. 2012;45:21.
    1. Field TS, Mazor KM, Briesacher B. Adverse drug events resulting from patient errors in older adults. J Am Geriatr Soc. 2007;55:271–276. doi: 10.1111/j.1532-5415.2007.01047.x.
    1. Jamerson K, Bakris GL, Dahlöf B, et al. Exceptional early blood pressure control rates: the ACCOMPLISH Trial. Blood Pressure. 2007;16:80–86. doi: 10.1080/08037050701395571.
    1. Moser M. The Ascot Trial. J Clin Hypertens. 2005;7:748–750. doi: 10.1111/j.1524-6175.2005.05298.x.
    1. American Geriatrics Society 2012 Beers Criteria Update Expert Panel American Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2012;2012(60):616–631. doi: 10.1111/j.1532-5415.2012.03923.x.
    1. Wehling M. Drug therapy for the elderly. Vienna: Springer; 2013.
    1. Fialová D, Topinková E, Gambassi G, AdHOC Project Research Group et al. Potentially inappropriate medication use among elderly home care patients in Europe. JAMA. 2005;293:1348–1358. doi: 10.1001/jama.293.11.1348.

Source: PubMed

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