Bastiaan Sallevelt

131 Conversion of STOPP/START version 2 into coded algorithms 14. P. Anrys, G. Strauven, B. Boland, O. Dalleur, A. Declercq, J.-M. Degryse, J. De Lepeleire, S. Henrard, V. Lacour, S. Simoens, N. Speybroeck, K. Vanhaecht, A. Spinewine, V. Foulon, Collaborative approach to Optimise MEdication use for Older people in Nursing homes (COME-ON): study protocol of a cluster controlled trial., Implement. Sci. 11 (2016) 35. doi:10.1186/s13012-016-0394-6. 15. P. Anrys, B. Boland, J.-M. Degryse, J. De Lepeleire, M. Petrovic, S. Marien, O. Dalleur, G. Strauven, V. Foulon, A. Spinewine, STOPP/START version 2-development of software applications: easier said than done?, Age Ageing. 45 (2016) 589–592. doi:10.1093/ ageing/afw114. 16. K.J. Nauta, F. Groenhof, J. Schuling, J.G. Hugtenburg, H.P.J. van Hout, F.M. HaaijerRuskamp, P. Denig, Application of the STOPP/START criteria to a medical record database., Pharmacoepidemiol. Drug Saf. 26 (2017) 1242–1247. doi:10.1002/pds.4283. 17. A. Desnoyer, A.-L. Blanc, V. Pourcher, M. Besson, C. Fonzo-Christe, J. Desmeules, A. Perrier, P. Bonnabry, C. Samer, B. Guignard, PIM-Check: development of an international prescription-screening checklist designed by a Delphi method for internal medicine patients., BMJ Open. 7 (2017) e016070. doi:10.1136/bmjopen-2017-016070. 18. A.-L. Blanc, S. Spasojevic, A. Leszek, M. Theodoloz, P. Bonnabry, T. Fumeaux, N. Schaad, A comparison of two tools to screen potentially inappropriate medication in internal medicine patients., J. Clin. Pharm. Ther. 43 (2018) 232–239. doi:10.1111/jcpt.12638. 19. D.A. de Groot, M. de Vries, K.J. Joling, J.P.C.M. van Campen, J.G. Hugtenburg, R.J. van Marum, A.M.A. Vermeulen Windsant-van den Tweel, P.J.M. Elders, H.P. van Hout, Specifying ICD9, ICPC and ATC codes for the STOPP/START criteria: a multidisciplinary consensus panel., Age Ageing. 43 (2014) 773–778. doi:10.1093/ageing/afu075. 20. M.C. Meulendijk, M.R. Spruit, A.C. Drenth-van Maanen, M.E. Numans, S. Brinkkemper, P.A.F. Jansen, W. Knol, Computerized Decision Support Improves Medication Review Effectiveness: An Experiment Evaluating the STRIP Assistant’s Usability., Drugs Aging. 32 (2015) 495–503. doi:10.1007/s40266-015-0270-0. 21. International Classification of, (n.d.). doi:10.1007/s13398-014-0173-7.2. 22. International Classification of Disease, Version 10, (n.d.). http://apps.who.int/ classifications/icd10/browse/2015/en. 23. International Classification of Primary Care (ICPC codes version 1) Dutch translation, (n.d.). https://www.nhg.org/themas/publicaties/icpc-online. 24. ATC/DDD Index 2015 WHO Collaborating Centre for Drug Statistics Methodology, 2015. (n.d.). http://www.whocc.no/atc_ddd_index/?code=J01MA02. 25. LOINC; The internationale standard for identifying health measurements, observations and documents, (n.d.). https://loinc.org/. 26. L. Santos-Gomez, M.J. Darnell, Empirical evaluation of decision tables for constructing and comprehending expert system rules, Knowl. Acquis. 4 (1992) 427–444. doi:10.1016/1042-8143(92)90004-K. 27. Referentiewaarden, (n.d.). https://www.nvkc.nl/algemeen-overzicht-referentiewaarden. 28. NIV, NIV richtlijn elektrolystoornissen, (n.d.). https://www.internisten-apps.nl/ elektrolytstoornissen/index.php/Hyperkaliëmie. 29. R. Backman, S. Bayliss, D. Moore, I. Litchfield, Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence., Syst. Rev. 6 (2017) 255. doi:10.1186/s13643-017-0627-z. 2

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