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      Development of a stepwise tool to aide primary health care professionals in the process of deprescribing in older persons

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          Abstract

          Objective:

          The aim of this study was to develop and validate a stepwise tool to aid primary health care professionals in the process of deprescribing potentially inappropriate medication in older persons.

          Methods:

          We carried out a systematic review to identify previously published tools. A composite proposal of algorithm was made by following the steps from clinical experience to deprescribe medications. A 2-round electronic Delphi method was conducted to establish consensus. Eighteen experts from different countries (Colombia, Spain and Argentina) accepted to be part of the panel representing geriatricians, internists, endocrinologist, general practitioners, pharmacologists, clinical pharmacists, family physicians and nurses. Panel members were asked to mark a Likert Scale from 1 to 9 points (1= strongly disagree, 9= strongly agree). The content validity ratio, item-level content validity, and Fleiss’ Kappa statistics was measured to establish reliability. The same voting method was used for round 2.

          Results:

          A 7-question algorithm was proposed. Each question was part of a domain and conduct into a decision. In round 1, a consensus was not reached but statements were grouped and organized. In round 2, the tool met consensus. The inter-rater reliability was between substantial and almost perfect for questions with Kappa=0.77 (95% CI 0.60-0.93), for domains with Kappa= 0.73 (95%CI 0.60-0.86) and for decisions with Kappa= 0.97 (95%CI 0.90-1.00).

          Conclusions:

          This is a novel tool that captures and supports healthcare professionals in clinical decision-making for deprescribing potentially inappropriate medication. This includes patient’s and caregiver’s preferences about medication. This tool will help to standardize care and provide guidance on the prescribing/deprescribing process of older persons’ medications. Also, it provides a holistic way to reduce polypharmacy and inappropriate medications in clinical practice.

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          Most cited references24

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          The measurement of observer agreement for categorical data.

          This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction of functions of the observed proportions which are directed at the extent to which the observers agree among themselves and the construction of test statistics for hypotheses involving these functions. Tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interobserver agreement are developed as generalized kappa-type statistics. These procedures are illustrated with a clinical diagnosis example from the epidemiological literature.
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            Aging with multimorbidity: a systematic review of the literature.

            A literature search was carried out to summarize the existing scientific evidence concerning occurrence, causes, and consequences of multimorbidity (the coexistence of multiple chronic diseases) in the elderly as well as models and quality of care of persons with multimorbidity. According to pre-established inclusion criteria, and using different search strategies, 41 articles were included (four of these were methodological papers only). Prevalence of multimorbidity in older persons ranges from 55 to 98%. In cross-sectional studies, older age, female gender, and low socioeconomic status are factors associated with multimorbidity, confirmed by longitudinal studies as well. Major consequences of multimorbidity are disability and functional decline, poor quality of life, and high health care costs. Controversial results were found on multimorbidity and mortality risk. Methodological issues in evaluating multimorbidity are discussed as well as future research needs, especially concerning etiological factors, combinations and clustering of chronic diseases, and care models for persons affected by multiple disorders. New insights in this field can lead to the identification of preventive strategies and better treatment of multimorbid patients. Copyright © 2011 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Pharm Pract (Granada)
                Pharm Pract (Granada)
                Pharmacy Practice
                Centro de Investigaciones y Publicaciones Farmaceuticas
                1885-642X
                1886-3655
                Oct-Dec 2020
                04 December 2020
                : 18
                : 4
                : 2033
                Affiliations
                BSN, MSc. Department of Pharmacy, Faculty of Sciences, National University of Colombia . Bogotá (Colombia). rpdem@ 123456unal.edu.co
                MD, MSc, PhD. Professor. Department of Public Health, Faculty of Medicine, National University of Colombia . Bogotá (Colombia). jheslavas@ 123456unal.edu.co
                Pharm, MSc. Associate professor. Department of Pharmacy, Faculty of Sciences, National University of Colombia . Bogotá (Colombia). cpvacag@ 123456unal.edu.co
                MD, PhD. Assistant professor. Department of Pharmacology, Therapeutics and Toxicology, Autonomous University of Barcelona . Barcelona (Spain). drficf@ 123456gmail.com
                MD, PhD. Professor. Department of Pharmacology, Therapeutics and Toxicology, Autonomous University of Barcelona . Barcelona (Spain). afs@ 123456icf.uab.cat
                Author information
                https://orcid.org/0000-0002-1351-7514
                https://orcid.org/0000-0003-1502-2918
                https://orcid.org/0000-0001-5489-2671
                https://orcid.org/0000-0001-5588-7153
                https://orcid.org/0000-0002-2740-2013
                Article
                pharmpract-18-2033
                10.18549/PharmPract.2020.4.2033
                7732213
                33343769
                20708a0b-8e73-4cdc-b179-60961b1004e2
                Copyright: © Pharmacy Practice and the Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 July 2020
                : 22 November 2020
                Funding
                Funded by: Colciencias
                Award ID: 110177758303 CT-792-2018
                Funded by: Colciencias
                Award ID: 647-2015
                Categories
                Original Research

                deprescriptions,polypharmacy,inappropriate prescribing,clinical decision-making,algorithms,pharmacists,general practitioners,geriatricians,physicians, family,consensus,delphi technique,validation studies as topic,colombia

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