PURPOSE: The aim of this study was to explore patterns and long-term development in prescribing potentially inappropriate medication (PIM) according to the EU(7)-PIM list to elderly patients in Germany. METHODS: We analysed anonymized German claims data. The study population comprised 6.0 million insured individuals at least 65 years old, including all their prescriptions reimbursed in 2019. For the analysis of long-term development, we used data for the years 2009-2019. Factors associated with PIM prescribing were considered from two perspectives: patient-oriented analysis was performed with logistic regression and prescriber-oriented analysis was performed with multiple linear regression. RESULTS: EU(7)-PIM prevalence was reduced from 56.9% in 2009 to 45.1% in 2019. Average annual volume (DDDs/insured) decreased from 145 in 2009 to 121 in 2019. These figures are substantially greater than those for the older PRISCUS list. The majority of investigated ATC level 2 groups with the highest EU(7)-PIM DDD volume exhibited substantial decreases; moderate increases were found for antihypertensive and urological drugs. Antithrombotics increased strongly with the introduction of direct oral anticoagulants. The most prevalent EU(7)-PIM medication was diclofenac; however, in the age group 85+ years, apixaban was twice as prevalent as diclofenac. Polypharmacy, female sex, age < 90 years, need for nursing care and living in Eastern regions were identified as risk factors. Prescriber specialty was the most marked factor in the prescriber-oriented analysis. CONCLUSION: Although the use of EU(7)-PIMs has been declining, regional differences indicate considerable room for improvement. The comparison with PRISCUS highlights the necessity of regular updates of PIM lists.
- MeSH
- charakteristiky bydlení MeSH
- lidé MeSH
- pojistná škoda - přezkoumání statistika a číselné údaje MeSH
- polypharmacy MeSH
- průřezové studie MeSH
- retrospektivní studie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- sexuální faktory MeSH
- seznam potenciálně nevhodných léčiv statistika a číselné údaje trendy MeSH
- věkové faktory MeSH
- Check Tag
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- pozorovací studie MeSH
- Geografické názvy
- Německo MeSH
INTRODUCTION: The importance of rational drug therapy is increasing with the aging of the population. Since one of the main reasons for inappropriate drug prescribing is also the "age-blind" approach, which results in ageist practices, this narrative literature review focuses on the description of the main barriers related to insufficient individualization of drug regimens associated with such age-blind approaches. METHODOLOGY: A narrative literature review using the PubMed, WoS, Embase, and Scopus databases was conducted by the EU COST Action IS1402. Experts in different scientific fields from six countries (the Czech Republic, Spain, Portugal, Hungary, Serbia, and Turkey) worked in four specific areas: (1) underrepresentation of older adults in clinical trials and clinical and ethical consequences; (2) insufficient consideration of age-related changes and geriatric frailty in the evaluation of the therapeutic value of drugs; (3) frequent prescribing of potentially inappropriate medications (PIMs); and (4) frequent underuse of highly beneficial nonpharmacological strategies (e.g., exercise). RESULTS: Older patients are underrepresented in clinical trials. Therefore, rigorous observational geriatric research is needed in order to obtain evidence on the real efficacy and safety of frequently used drugs, and e.g. developed geriatric scales and frailty indexes for claims databases should help to stimulate such research. The use of PIMs, unfortunately, is still highly prevalent in Europe: 22.6% in community-dwelling older patients and 49.0% in institutionalized older adults. Specific tests to detect the majority of age-related pharmacological changes are usually not available in everyday clinical practice, which limits the estimation of drug risks and possibilities to individualize drug therapy in geriatric patients before drug prescription. Moreover, the role of some nonpharmacological strategies is highly underestimated in older adults in contrast to frequent use of polypharmacy. Among nonpharmacological strategies, particularly physical exercise was highly effective in reducing functional decline, frailty, and the risk of falls in the majority of clinical studies. CONCLUSION: Several regulatory and clinical barriers contribute to insufficient knowledge on the therapeutic value of drugs in older patients, age-blind approach, and inappropriate prescribing. New clinical and observational research is needed, including data on comprehensive geriatric assessment and frailty, to document the real efficacy and safety of frequently used medications.
- MeSH
- geriatrické hodnocení MeSH
- lékové předpisy normy statistika a číselné údaje MeSH
- lidé MeSH
- nevhodné předepisování statistika a číselné údaje MeSH
- polypharmacy * MeSH
- prevalence MeSH
- randomizované kontrolované studie jako téma statistika a číselné údaje MeSH
- rizikové faktory MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- seznam potenciálně nevhodných léčiv statistika a číselné údaje MeSH
- věkové faktory MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
- Geografické názvy
- Evropa MeSH
- Turecko MeSH
AIM: Frail older people typically suffer several chronic diseases, receive multiple medications and are more likely to be institutionalized in residential aged care facilities. In such patients, optimizing prescribing and avoiding use of high-risk medications might prevent adverse events. The present study aimed to develop a pragmatic, easily applied algorithm for medication review to help clinicians identify and discontinue potentially inappropriate high-risk medications. METHODS: The literature was searched for robust evidence of the association of adverse effects related to potentially inappropriate medications in older patients to identify high-risk medications. Prior research into the cessation of potentially inappropriate medications in older patients in different settings was synthesized into a four-step algorithm for incorporation into clinical assessment protocols for patients, particularly those in residential aged care facilities. RESULTS: The algorithm comprises several steps leading to individualized prescribing recommendations: (i) identify a high-risk medication; (ii) ascertain the current indications for the medication and assess their validity; (iii) assess if the drug is providing ongoing symptomatic benefit; and (iv) consider withdrawing, altering or continuing medications. Decision support resources were developed to complement the algorithm in ensuring a systematic and patient-centered approach to medication discontinuation. These include a comprehensive list of high-risk medications and the reasons for inappropriateness, lists of alternative treatments, and suggested medication withdrawal protocols. CONCLUSIONS: The algorithm captures a range of different clinical scenarios in relation to potentially inappropriate medications, and offers an evidence-based approach to identifying and, if appropriate, discontinuing such medications. Studies are required to evaluate algorithm effects on prescribing decisions and patient outcomes. Geriatr Gerontol Int 2016; 16: 1002-1013.
- MeSH
- algoritmy * MeSH
- bezpečnost pacientů MeSH
- chronická nemoc farmakoterapie MeSH
- hodnocení rizik MeSH
- křehký senior statistika a číselné údaje MeSH
- lidé MeSH
- nevhodné předepisování prevence a kontrola statistika a číselné údaje MeSH
- nežádoucí účinky léčiv epidemiologie prevence a kontrola MeSH
- polypharmacy * MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- seznam potenciálně nevhodných léčiv statistika a číselné údaje MeSH
- věkové faktory MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH