eTable. Instruments for the identification of potentially inappropriate medication.
| Name/last update | Characteristics, structure, and presentation | Comments | Evidence from interventional studies to improve drug therapy safety or clinical endpoints |
| STOPP/START England/Ireland 2015 (25) |
STOPP: Screening tool (80 PIM) by organ and functional system to identify potentially inappropriate medications START: Screening tool (34 recommendations) by organ and functional system to identify potentially necessary medications |
Provides the rationale for classification as STOPP and START criterion, complemented by information from NICE guidelines; in a future version, STOPP criteria relevant to falls (STOPP Fall) to be integrated. | Manual screening on hospital admission leads to a reduction in ADRs and length of hospital stay. Computer-generated alerts based on STOPP/START were not effective in the SENATOR trial (e19). |
| FORTA Germany 2022 (29) |
List of the most common pharmaceuticals in long-term use, presented according to areas of indication (e.g., CHD or oncological diseases/solid tumors) | Graded as positive/negative based on four classes (A–D); classes A and B identify potentially necessary medications. Classes C and D identify potentially inadequate medications. | A randomized trial in two German hospitals found significant improvements in adherence to FORTA recommendations through training and weekly meetings with the FORTA team (e16). |
| PRISCUS Germany 2010 (30) |
Negative list (83 PIMs), presented according to medication classes | Information on concerns, alternatives, and measures if use of drugs to be continued. The criteria updated in 2021 will be published shortly (e17). | A cluster-randomized trial (RIME) in 137 German primary care practices found no relevant reduction in PRISCUS-PIM prescriptions through one-off training for primary care physicians or practice teams (e18). |
| Beers USA 2019 (31) |
PIM list (individual medications in 35 drug groups), presented according to organ system and therapeutic category; important interactions with other drugs (n = 17) or underlying diseases or syndromes (n = 10); drugs that are problematic in kidney failure (n = 23); drugs with strong anticholinergic properties (n = 55) | Provides the rationale for classification as a PIM; quality of evidence and strength of recommendation | The D-Prescribe cluster randomized trial (e19) in 69 Canadian pharmacies foundsignificantly more frequent discontinuation of treatment with sedatives/hypnotics, sulfonylureas, and NSAIDs. |
| STOPP Fall EU/Finland 2021 (32) |
Screening tool to identify fall risk increasing drugs (FRIDs), i.e., medication classes that increase the risk of falls (14 medication classes) | Recommendations on the situations in which an attempt at discontinuation should be undertaken, how this should be done where necessary (e.g., tapering), as well as monitoring criteria after discontinuation | To date, there is no explicit evaluation of this tool. However, in a placebo-controlled trial, discontinuation of psychotropic drugs significantly reduced the risk of falls (e20). Nevertheless, according to a recent meta-analysis, the currently available evidence is insufficient to recommend discontinuation of FRIDs alone as a fall prevention strategy (e21). |
| STOPP Frail 2017 (33) |
PIM list (n = 27) to identify PIMs in older persons in whom: – Symptom control is prioritized over prevention or avoidance of disease progression – There is a low 1-year probability of survival – There is irreversible end-stage disease – There is severe functional or cognitive impairment or both categorized according to physiological system |
Rationale for categorization as PIM given | Interventional study pending |
| ACB Score Germany 2018 (34) |
Classification of medications available in Germany according to their anticholinergic strength: 29 drugs with strong, 18 withmoderate, and 104 with weak anticholinergic properties | General algorithm for the reduction of anticholinergic burden | In a patient-randomized US trial of 50 patients, a collaboration between physicians and pharmacists significantly reducedanticholinergic load (e23). |
Table modified from Moßhammer D, Haumann H, Mörike K, Joos S: Polypharmacy—an upward trend with unpredictable effects. Dtsch Arztebl Int 2016; 113: 627–33.
ACB, anticholinergic burden; FRIDs, fall risk increasing drugs; CHD, coronary heart disease; PIM, potentially inappropriate medication; ADR, adverse drug reaction