Susanne Erzkamp1, Juliane Köberlein-Neu2, Olaf Rose3,4. 1. Elefanten-Apotheke gegr. 1575, Steinstr. 14, 48565, Steinfurt, Germany. 2. Center for Health Economics and Health Services Research, Schumpeter School of Business and Economics, University of Wuppertal, Rainer-Gruenter-Str. 21 Gebäude FN (1. OG), 42119, Wuppertal, Germany. 3. impac2t Research, Maximilianstr. 31-33, 48147, Muenster, Germany. rose@elefantenapo.de. 4. Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1225 Center Drive HPNP Bldg, Gainesville, FL, 32610-0486, USA. rose@elefantenapo.de.
Abstract
INTRODUCTION: There are several barriers to conducting medication management in nursing homes. Our project aimed to develop an algorithm that guides and supports pharmacists to perform this clinical service. METHODS: Phase I of the project examined the practitioner and patient perspectives on the medication process in nursing homes. The mixed methods approach consisted of interviews with qualitative content analysis and a quantitative questionnaire. Phase IIa scoped existing research and comprised a three-stepped systematic review. It was registered in the International Prospective Register of Systematic Reviews (CRD42017065002). Results of the first two steps were assessed for quality. Phase IIb was performed as a Delphi survey. The developed algorithm was tested in nursing homes. The primary endpoint was the number and type of detected drug-related problems. The study was conducted between June 2016 and December 2018 (Deutsches-Register-Klinischer-Studien-ID: DRKS00010995). RESULTS: Interviews were held with 21 healthcare practitioners and six patients. Frequent and relevant aspects of the medication process in nursing homes were identified. The systematic reviews included 28 reviews, 12 interventional studies and 1450 non-interventional studies. As a result of the Delphi survey, two new aspects were added. Testing of the drafted algorithm was done in 73 nursing home residents. A mean of 6.3 drug-related problems were detected. Sample cases were executed in a mean time of 21 min by community pharmacists. CONCLUSIONS: The developed and consented algorithm can guide pharmacists in conducting medication management in a timely and effective manner. It might serve as a facilitator to improve collaboration and quality of medication in nursing home residents.
INTRODUCTION: There are several barriers to conducting medication management in nursing homes. Our project aimed to develop an algorithm that guides and supports pharmacists to perform this clinical service. METHODS: Phase I of the project examined the practitioner and patient perspectives on the medication process in nursing homes. The mixed methods approach consisted of interviews with qualitative content analysis and a quantitative questionnaire. Phase IIa scoped existing research and comprised a three-stepped systematic review. It was registered in the International Prospective Register of Systematic Reviews (CRD42017065002). Results of the first two steps were assessed for quality. Phase IIb was performed as a Delphi survey. The developed algorithm was tested in nursing homes. The primary endpoint was the number and type of detected drug-related problems. The study was conducted between June 2016 and December 2018 (Deutsches-Register-Klinischer-Studien-ID: DRKS00010995). RESULTS: Interviews were held with 21 healthcare practitioners and six patients. Frequent and relevant aspects of the medication process in nursing homes were identified. The systematic reviews included 28 reviews, 12 interventional studies and 1450 non-interventional studies. As a result of the Delphi survey, two new aspects were added. Testing of the drafted algorithm was done in 73 nursing home residents. A mean of 6.3 drug-related problems were detected. Sample cases were executed in a mean time of 21 min by community pharmacists. CONCLUSIONS: The developed and consented algorithm can guide pharmacists in conducting medication management in a timely and effective manner. It might serve as a facilitator to improve collaboration and quality of medication in nursing home residents.
Authors: Marie A Chisholm-Burns; Jeannie Kim Lee; Christina A Spivey; Marion Slack; Richard N Herrier; Elizabeth Hall-Lipsy; Joshua Graff Zivin; Ivo Abraham; John Palmer; Jennifer R Martin; Sandra S Kramer; Timothy Wunz Journal: Med Care Date: 2010-10 Impact factor: 2.983
Authors: Fabrizia Lattanzio; Francesco Landi; Silvia Bustacchini; Angela Marie Abbatecola; Francesco Corica; Luigi Pranno; Andrea Corsonello Journal: Drug Saf Date: 2012-01 Impact factor: 5.606
Authors: David P O'Sullivan; Denis O'Mahony; Carole Parsons; Carmel Hughes; Kevin Murphy; Susan Patterson; Stephen Byrne Journal: Drugs Aging Date: 2013-01 Impact factor: 3.923