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Potentially Inappropriate Medications Criteria-Based Tools for The Potentially inappropriate medications criteria-based tools for the elderly: a systematic scoping review Geovana Schiavo,1 Marcela Forgerini,1 Rosa Camila Lucchetta,1 Patricia de Carvalho Mastroianni.1 1 Department of Drugs and Medicines, Faculty of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil. Corresponding author: Professora Dr. Patricia de Carvalho Mastroianni E-mail: [email protected] (+55 16) 3301-6977 Adjunct Professor, Department of Drugs and Medicines, Faculty of Pharmaceutical Sciences, São Paulo State University (UNESP) Highway Jaú, Km 01 s / n 14800-901, Araraquara SP- Brazil. Summary Table 1. Search strategies in databases PubMed and Scopus. ................................................................................. 2 Figure 1. Selection process for review studies (adapted from PRISMA-ScR) - Potentially inappropriate medications tools in the elderly ............................................................................................................................... 3 Figure 2. Selection process for review studies (adapted from PRISMA-ScR) - Potentially inappropriate drug interactions for elderly with respiratory diseases ................................................................................................... 4 Figure 3. Selection process for review studies (adapted from PRISMA-ScR) - Potentially inappropriate drug interactions for elderly people with mental and behavioral disorders ..................................................................... 5 Table 2. Excluded records. ...................................................................................................................................... 6 Table 3. Commercialization and essentiality of potentially inappropriate medications for elderly. ...................... 14 Table 4. Ten potentially inappropriate medication with a higher number of citations by tools, in decreasing order of citations. ............................................................................................................................................................ 23 Table 5. Ten potentially inappropriate classes of medication with the highest number of citations by tools, in decreasing order. ................................................................................................................................................... 27 Table 6. Medication or pharmacological classes with the highest number of interactions. ................................... 28 Table 7. Potentially inappropriate interactions between potentially inappropriate drugs and morbidities/syndromes classified according to the International Statistical Classification of Diseases and Related Health Problems – 10th revision. ................................................................................................................................................................. 34 Table 8. Potentially inappropriate interaction (drug/pharmacological class), according three respiratory diseases classified according to the International Statistical Classification of Diseases and Related Health Problems – 10th revision. ................................................................................................................................................................ 37 Table 9. Potentially inappropriate interaction (drug/pharmacological class), according six mental and behavioral disorders classified according to the International Statistical Classification of Diseases and Related Health Problems – 10th revision. ....................................................................................................................................... 38 Table 10. Reasons, therapeutic management for potentially inappropriate interaction (drug/pharmacological class), according six mental and behavioral disorders classified according to the International Statistical Classification of Diseases and Related Health Problems – 10th revision. ......................................................................................... 40 Table 11. Potentially inappropriate medications with adverse drug reactions in the mental and behavioral disorders. ............................................................................................................................................................................... 47 References ............................................................................................................................................................. 72 Table 1. Search strategies in databases PubMed and Scopus. PUBMED #1 Population elderly[TIAB] OR aged[MH] OR aged[TIAB] OR “older adult*”[TIAB] OR “older people”[TIAB] OR geriatric[TIAB] #2 Concept (((inappropriate[TIAB] OR appropriateness[TIAB]) AND (medication*[TIAB] OR prescri*[TIAB])) OR “inappropriate prescribing”[MH] OR “Potentially Inappropriate Medication List”[MH] OR Deprescriptions[MH] OR deprescription*[TIAB] OR “PIM”[TIAB]) #3 (tool[TIAB] OR criteria[TIAB] OR list[TIAB] OR consensus[TIAB] OR consensus[MH]) #4 Context (review[PT] OR meta-analysis[PT] OR news[PT] or letter[PT] OR editorial[PT] and types OR historical article[PT]) of studies #5 Final ((#1 AND #2 AND #3) NOT #4) search strategy SCOPUS #1 Population TITLE-ABS-KEY(elderly OR aged OR aged OR "older adult" OR "older adults" OR "older people" OR geriatric) #2 Concept TITLE-ABS-KEY(((inappropriate OR appropriateness) AND (medication* OR prescri*)) OR "inappropriate prescribing" OR "Potentially Inappropriate Medication List" OR deprescription* OR PIM) #3 TITLE-ABS-KEY(tool OR criteria OR list OR consensus) #4 Context and types DOCTYPE ( bk OR ch OR cr OR ed OR le) of studies #5 (INDEX(medline)) #6 Final search #1 AND #2 AND #3 AND NOT #4 AND NOT #5 strategy Figure 1. Selection process for review studies (adapted from PRISMA-ScR) - Potentially inappropriate medications tools in the elderly Database Manual search (n = 2,467) (n = 10) Identification Records after duplicates removed (n = 2,370) Screening Records screened (n = 2,380) Records excluded (n = 2,273) Eligibility Full-text articles assessed for eligibility (n = 107) Full-text articles excluded, with reasons (n = 53) Articles included in scoping review Included (n = 54) Figure 2. Selection process for review studies (adapted from PRISMA-ScR) - Potentially inappropriate drug interactions for elderly with respiratory diseases Manual search Database (n = 10) (n = 2,467) Identification Records after duplicates removed (n = 2,370) Screening Records screened (n = 2,380) Records excluded (n = 2,273) Eligibility Full-text articles assessed for eligibility (n = 107) Full-text articles excluded, with reasons (n = 53) Articles included in scoping review Included (n = 54) Full-text articles excluded because do not include PIM or PII of respiratory diseases (n = 35) Articles included in respiratory analysis (n = 19) PIM: potentially inappropriate medication; PII: potentially inappropriate interactions. Figure 3. Selection process for review studies (adapted from PRISMA-ScR) - Potentially inappropriate drug interactions for elderly people with mental and behavioral disorders Database Manual search 2,467 (n = 10) Identification Records after duplicates removed (n = 2,370) Screening Records screened (n = 2,379) Records excluded (n = 2,273) Eligibility Full-text articles assessed for eligibility (n = 107) Full-text articles excluded, with reasons (n = 53) Articles included in scoping review Included (n = 54) Full-text articles excluded because do not include PIM or PII of mental or behavior Articles included in mental disorders (n = 17) and behavior analysis (n = 37) PIM: potentially inappropriate medication; PII: potentially inappropriate interactions. Table 2. Excluded records. Population 1. Nery, Raiany Thaimeny ;Reis, Adriano Max Moreira Development of a Brazilian anticholinergic activity drug scale 2019 Einstein (Sao Paulo, Brazil) 17 2 eAO4435-eAO 10.31744/einstein_journal/2019AO4435 Concept 2. Vrijkorte, Elze ;de Vries, Jennifer ;Schaafsma, Ron ;Wymenga, Machteld ;Oude Munnink, Thijs Optimising pharmacotherapy in older cancer patients with polypharmacy 2020 European journal of cancer care 29 1 e13185-e 10.1111/ecc.13185 3. Rodríguez-Pérez, A. ;Alfaro-Lara, E. R. ;Sierra-Torres, M. I. ;Villalba-Moreno, Á ;Nieto-Martin, M. D. ;Galván-Banqueri, M. ;Santos-Ramos, B. Validation of the LESS-CHRON criteria: Reliability study of a tool for deprescribing in patients with multimorbidity 2019 European Journal of Hospital Pharmacy 26 6 334-8 10.1136/ejhpharm-2017-001476 4. Rabenberg, Andree ;Schulte, Timo ;Hildebrandt, Helmut ;Wehling, Martin The FORTA (Fit fOR The Aged)-EPI (Epidemiological) Algorithm: Application of an Information Technology Tool for the Epidemiological Assessment of Drug Treatment in Older People 2019 Drugs & aging 36 10 969-78 10.1007/s40266-019- 00703-7 5. Kympers, C. ;Tommelein, E. ;Van Leeuwen, Ellen ;Boussery, K. ;Petrovic, M. ;Somers, A. Detection of potentially inappropriate prescribing in older patients with the GheOP³S-tool: completeness and clinical relevance 2019 Acta clinica Belgica 74 2 126-36 10.1080/17843286.2019.1568353 6. Jun, Kwanghee ;Hwang, Sunghee ;Ah, Young-Mi ;Suh, Yewon ;Lee, Ju-Yeun Development of an Anticholinergic Burden Scale specific for Korean older adults 2019 Geriatrics & gerontology international 19 7 628-34 10.1111/ggi.13680 7. Ivanova, Ivana ;Elseviers, Monique ;Wettermark, Bjorn ;Schmidt Mende, Katharina ;Vander Stichele, Robert ;Christiaens, Thierry Electronic assessment
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