Abstract
Purpose
Many psychotropic drugs are listed as potentially inappropriate medication (PIM) in the older population. Potentially inappropriate means that prescription of those drugs in older adults may cause significant harm. The objective of this study was to analyze the prevalence and sort of PIM prescribing in a naturalistic, real-world psychiatric setting.
Methods
The retrospective analysis gathered data from a large pharmacovigilance study, conducted at 10 psychiatric hospitals. Data from inpatients aged ≥ 65 years were included for the analysis. The number and sort of PIM, as defined by the German PRISCUS list, were controlled by analyzing the patients’ medication profile.
Results
In total, 4760 patient cases (59.2% female) with a mean (mean ± standard deviation (SD)) age of 77.33 ± 7.77 years were included into the study. Altogether, 1615 cases (33.9%) received at least 1 PRISCUS-PIM per day (regular and as-needed medication included). The most frequently prescribed PRISCUS-PIM (n = 2144) were zopiclone > 3.75 mg/day (n = 310), lorazepam > 2 mg/day (n = 269), haloperidol > 2 mg/day (n = 252), and diazepam (n = 182). Cases with PRISCUS-PIM were younger (75.7 vs. 78.2 years, p < 0.001) and had a longer (26 vs. 22 days, p < 0.001) hospital length of stay. Replacing benzodiazepines and z-substances, haloperidol > 2 mg, tricyclic antidepressants, first generation antihistaminergic drugs, and clonidine by non-PIM could reduce 69.9% of PRISCUS-PIM-prescribing.
Conclusions
The prevalence of PRISCUS-PIM is high in the hospitalized psychiatric setting. Rational deprescribing of inappropriate anticholinergics, benzodiazepines, and antipsychotics in the older population is a key component to reduce the risk of adverse drug reactions. More tolerable medications should be prescribed.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Due to demographic change, the health care system will face a growing number of older, often multimorbid patients ≥ 65 years. Multimorbidity is often associated with polypharmacy [1]. Therefore, older patients who take multiple drugs are high-risk patients of developing adverse drug reactions (ADRs) [2], as polypharmacy increases the risk of pharmacokinetic and pharmacodynamic drug-drug and drug-disease interactions [3,4,5,6].
Because of age-related changes in pharmacokinetics and pharmacodynamics [7, 8], older patients, particularly people with frailty syndrome [9,10,11], are more prone to develop ADRs. Especially in gerontopsychiatry, physicians should consider the increased sensitivity to antipsychotic, e.g., anticholinergic, drugs (e.g., clozapine) [12,13,14,15,16], leading to peripheral and central anticholinergic ADRs, such as cognitive impairment and delirium [17,18,19].
Many psychotropic drugs are listed as potentially inappropriate medication (PIM) in older people [20,21,22,23]. Potentially inappropriate medication means that prescribing of those drugs in older patients may cause significant harm [17, 24, 25]. Therefore, PIM should be avoided or replaced by more tolerable alternative drugs [22, 26,27,28,29] in the older population. According to this, several lists of PIM have been published [21, 23, 30,31,32].
Lists of PIM in older patients, such as the PRISCUS list [20], have been developed to improve safety and tolerability of pharmacotherapy in older patients. The German PRISCUS list [33, 34] contains 83 drugs, arranged in 18 drug classes, with a high prevalence of psychotropic drugs.
Different studies have shown that PIM were more commonly associated with ADRs or medication errors, lower quality of life, hospitalizations, and higher health care costs than non-PIM in older patients [25, 35,36,37,38,39,40]. Based on German health insurance data, Schubert and coworkers [41] detected the highest PIM prevalence for antidepressants (6.5%), antihypertensive medication (3.8%), and antiarrhythmic drugs (3.5%). The most commonly prescribed PRISCUS-PIM observed by Amann, using claims data from three statutory health insurances in Germany [42], were amitriptyline (2.6%), acetyldigoxin (2.4%), tetrazepam (2.0%), and oxazepam (2.0%).
In particular, PIM-prescribing is common in psychiatric patients and potentially fatal [43]. Wucherer [44] conducted home medication reviews in a large sample of community-dwelling primary care patients in Germany and found that 22% of patients who were screened positive for dementia received at least one PRISCUS-PIM. In a study by Hefner, more than half (n = 89; 53.0%) of older psychiatric patients (inpatients and day hospital care) took at least 1 PRISCUS-PIM, whereas lorazepam > 2 mg/day (n = 31), zopiclone > 3.75 mg/day (n = 11), diazepam (n = 10), haloperidole > 2 mg/d (n = 8), amitriptyline (n = 7), clozapine (n = 7), and zolpidem > 5 mg/day (n = 7) were the most frequently prescribed PRISCUS-PIM [45].
Risk factors for using a PRISCUS-PIM were, e.g., older age, depression, polypharmacy, and female gender [41,42,43, 46, 47]. Interventions designed to considerably optimize medication may reduce the risk of ADRs in older adults [48].
This study aimed to determine the prevalence and sort of PIM-prescribing in psychiatric inpatients in a naturalistic psychiatric setting.
Methods
Study design
Since 2017, the Federal Joint Committee (G-BA, project executing organization, Deutsches Zentrum für Luft- und Raumfahrt, DLR) is funding health care research projects that aim to optimize quality of care for statutory insured persons in Germany. In this regard, the innovative study “Optimization of pharmacological treatment in hospitalized psychiatric patients” (OSA-PSY, study number 01VSF16009) is sponsored by the DLR. The present retrospective, longitudinal study used data from this large pharmacovigilance project. The study (ethical approval reference number FF 116/2017) is conducted in 10 psychiatric hospitals (Vitos corporation) in Germany. Data from 27,396 cases of treatment (24,118 inpatients and 3278 patients receiving day hospital care), assessed between October 2017 and September 2018, were retrospectively screened. Because of the longitudinal study design, medication patient data were screened on every day of hospital stay.
The project was started in October 2017. Pharmacovigilance is the primary focus of the study OSA-PSY, aiming to optimize psychopharmacotherapy by different interventions. In the first episode of the 3-year study, status quo of psychopharmacological treatment will be assessed. Based on detected discrepancies between clinical treatment and evidence-based recommendations and guidelines and in collaboration with an expert panel, parameters to optimize psychopharmacotherapy will be discussed. Based on these parameters, interventions to optimize psychopharmacotherapy will be developed. Afterwards, in the second episode, clinical utility and effectiveness of the new tools will be determined, based amongst others on quality indicators that have been implemented in all psychiatric Vitos hospitals by different indicators, e.g., CGI, GAF, and PANSS-8.
The study analyzed patient data stored electronically in the hospital information system, which has a computerized order entry system to prescribe all the drugs that are dispensed to the patient, and also includes “as needed” medications. Therefore, the data describes the present prescribing behavior in a real-world psychiatric setting.
Data from inpatients or day hospital care patients in adult psychiatry with a psychiatric disorder were included for analysis. Data from 4760 older patients ≥ 65 years were available. No further exclusion criteria were applied.
Clinical assessment
Medical records were screened for clinical data. Patient characteristics like age, gender, diagnosis (ICD-10), and medication were collected for analysis. The number and sort of PRISCUS-PIM were extracted by analyzing the patients’ medication profile. We included all drugs that fulfilled the criteria (dosage) of a potentially inappropriate medication for older patients, designated as PIM in the PRISCUS list [20].
Statistical analyses provided measures of central tendencies and dispersion for continuous data and number of observations and proportions for categorical variables. Differences between means, medians, and proportions were tested with Welch’s oneway, Kruskal-Wallis’s rank sum, and Pearson’s chi-squared tests, respectively. All statistical analyses were carried out in R (R Core Team. R; a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. 2019).
Results
In total, 4760 patient cases (59.2% female) with a mean (mean ± SD) age of 77.33 ± 7.77 years were included in the study (Table 1). Patient characteristics, such as hospital treatment, duration of hospital stay, and principal diagnosis, are shown in Table 1.
Altogether, 1615 patient cases (33.9%) received at least 1 and up to 4 PRISCUS-PIM at the same day (regular and as-needed medication included). They received an average number of 0.24 ± 0.45 PIM per day during their hospital stay (Table 1).
The most frequently prescribed PRISCUS-PIM (n = 2144, Table 2) were zopiclone > 3.75 mg/day (n = 310), lorazepam > 2 mg/day (n = 269), haloperidol > 2 mg/day (n = 252), and diazepam (n = 182). Patient cases with PRISCUS-PIM were younger (75.7 vs. 78.2 years, p < 0.001) and had a longer (26 vs. 22 days, p < 0.001) hospital length of stay (Table 3).
Figure 1 shows odds ratios calculated for the prescription of potentially inappropriate medication in relation to different factors, as length of hospital stay, number of comorbidities, and diagnoses. CGI at admission (clinical global impression score), length of stay, number of comorbidities, and F1-F3 diagnosis were positive influencing factors for the prescription of PRISCUS-PIM.
Discussion
The objective of this study was to analyze the prevalence and type of PIM prescription [20] in a naturalistic psychiatric setting.
Special feature of this study was the approach to analyze the electronic patient data in the hospital information system, reflecting the actual prescribing at psychiatric hospitals.
Altogether, this study revealed a high PRISCUS-PIM prevalence rate of 33.9% (regular and as-needed medication included) with the prescription of at least 1 PRISCUS-PIM during hospital stay (range 1–4, Table 1). Nearly 1% (45 patient cases) of the study group even received 3 or 4 PRISCUS-PIM simultaneously, which should be avoided to reduce the risk of ADRs and prescribing cascades.
This high PRISCUS-PIM prevalence rate in hospitalized older psychiatric patients can be explained by the fact of a large proportion of psychotropic drugs listed as potentially inappropriate in the PRISCUS list [20], e.g., benzodiazepines. After discharge, some of these drugs will not be prescribed anymore by the general practitioner, as observed by Siebert and coworkers [49]. In this study by Siebert and coworkers [49], 43% of the patients received a PRISCUS-PIM while hospitalized and 29% at discharge. While hospitalized, the mean number of administered PIM per patient was 0.5 based on the PRISCUS list [49]. In this study, patients received an average number of 0.24 ± 0.45 PIM per day during hospital stay. As this is a longitudinal study, these results are hardly comparable. Nevertheless, PIM prescriptions should be further decreased in the inpatient psychiatric setting, e.g., “as needed” benzodiazepines or first generation antihistamines.
CGI at admission (clinical global impression score), length of stay, and number of comorbidities, treated with multiple drugs (Table 1, Fig. 1), were positive influencing factors for the prescription of PRISCUS-PIM. This can be explained by the fact that with increasing number of ingested drugs because of comorbidities or a severe psychiatric illness, the possibility of PRISCUS-PIM prescription is increasing, too.
Patient cases with PRISCUS-PIM were younger (p < 0.001) and had a longer (p < 0.001) hospital length of stay (Table 3). The longer hospital stay could possibly be due to a reduced tolerability of the medication regime and a higher rate of ADRs [25, 35,36,37,38,39,40]. But it could also reflect that patients receiving PIM did not tolerate other drugs or more tolerable drugs were ineffective. Due to the need of tapering in and tapering out psychotropic drugs, the switch of medications prolongs the length of hospitalization.
The most frequently prescribed PRISCUS-PIM (n = 2144, Table 2) were zopiclone > 3.75 mg/day (n = 310), lorazepam > 2 mg/day (n = 269), haloperidol > 2 mg/day (n = 252), and diazepam (n = 182). In a study by Hefner, more than half (n = 89; 53.0%) of older psychiatric patients took at least 1 PRISCUS-PIM. Overall, lorazepam > 2 mg/day (n = 31), zopiclone > 3.75 mg/day (n = 11), diazepam (n = 10), and haloperidole > 2 mg/day (n = 8) were the most frequently prescribed PRISCUS-PIM [45], similar to this study. The higher prevalence rate of 53.0% in the study by Hefner, compared with the prevalence rate of 33.9% in this study, may be explained by the fact that the study was conducted much earlier, and therefore, the PRISCUS list was not that famous in clinical practice. Furthermore, the small sample size in the study by Hefner should be considered.
A significantly higher prevalence of PIM could be detected in female patients, compared with male patients, in concordance with previous studies [41, 42]. In the past, some studies reported female sex as an independent factor for PIM use [50,51,52,53,54]. Furthermore, benzodiazepines are a drug group of potentially inappropriate medication that is more frequently used by women than men [41].
The high rate of PIM prescription especially in patients with a diagnosis of dementia should be reduced, first of all the prescription of benzodiazepines which can increase the risk for, e.g., falls, delirium, or cognitive decline [55]. Hessmann also identified a high prevalence rate of benzodiazepines of 12.4% (n = 49) in 395 patients with a diagnosis of Alzheimer’s disease as well [56]. The inappropriate prescribing and use of benzodiazepines conflict with national and international guidelines and are a public health problem worldwide. Several major medical and psychiatric organizations, e.g., the American Geriatrics Society, advise not to use benzodiazepines in older adults. Despite these recommendations, benzodiazepines are still prescribed very often to a group of patients with the highest risk of serious adverse effects from these exact medications. Alternative medications for treating insomnia and anxiety in older adults should be preferably prescribed, e.g., sedative antidepressants as mirtazapine or selective serotonin reuptake inhibitors as escitalopram [55,56,57,58,59,60,61].
Due to age-related changes in pharmacokinetics and pharmacodynamics [7, 8], older people are more vulnerable to develop, e.g., anticholinergic ADRs [12,13,14,15,16,17,18,19].
Rational deprescribing especially of anticholinergics, benzodiazepines, and antipsychotics in older patients may be a key factor to diminish the risk of ADRs [26]. Clinical advice to reduce PRISCUS-PIM use is shown in Table 4. This table also includes the recommended upper limits of benzodiazepine dosage, given in the PRISCUS list. They should only be prescribed if the risk of ADRs outweighs the clinical benefit, in the recommended dose range per day. Alternative, more tolerable, medications in older adults should be preferably prescribed. According to indication, alternative drugs are prescribed in the PRISCUS list.
Clinical advice to reduce PRISCUS-PIM use is presented in Table 4.
Replacing benzodiazepines and z-substances, haloperidol > 2 mg, tricyclic antidepressants, first generation antihistaminergic drugs, and clonidine by non-PIM could reduce 81.6% of PRISCUS-PIM prescription. Furthermore, replacing clozapine and olanzapine by non-PIM could avoid 8.1% of PIM prescription.
Study limitations
The interpretation of the study results is limited by the naturalistic and retrospective study design but represents a real-word setting for psychiatric patients. The presented results are explorative and do not prove any causal relationship. Lastly, a patient bias could have occurred when inpatients were registered more than one time during the study period or changed to day hospital care, respectively.
A prescribed medication is potentially inappropriate if the risk of ADRs outweighs the clinical benefit in an older patient. Therefore, medications in the PRISCUS list are not generally contraindicated in older patients. After an individual patient-based risk-benefit analysis, more tolerable alternatives not listed as PRISCUS-PIM are often available [20]. Nevertheless, in some cases, PRISCUS-PIM are not avoidable in older patients. This investigation had no information about possibly conducted risk-benefit analysis. The longer length of stay in patients with PIM could be due to the non-efficacy or ADRs of the first choice drugs in these patients required a switch of the drugs to PIM. Therefore, final conclusion can be drawn in respect of the overall prevalence of PIM-prescribing (PRISCUS list drugs), but not in respect of the overall prevalence of definitively inappropriate prescribing in existence of more tolerable alternative drugs.
Conclusions
The prevalence of PRISCUS-PIM in psychiatry is relatively high. More than one-third of older patients, especially with a diagnosis of dementia, received at least 1 PRISCUS-PIM at at least 1 day of their hospital stay in this study. PIM-prescribing should be markedly reduced in hospitalized psychiatric patients above 65 years old. PIM were more commonly associated with ADRs or medication errors, lower quality of life, hospitalizations, and higher health care costs than non-PIM in older patients. The inappropriate prescribing and use especially of benzodiazepines conflict with national and international guidelines and are a global public health problem. Alternative, more tolerable medications in older adults should be preferably prescribed [55,56,57]. The PRISCUS list should be integrated in a complex treatment model for geriatric psychopharmacotherapy. Rational deprescribing especially of inappropriate anticholinergics, benzodiazepines, and antipsychotics in older patients may play a key role to lower the risk of ADRs [26].
References
Fulton MM, Allen ER (2005) Polypharmacy in the elderly: a literature review. J Am Acad Nurse Pract 17(4):123–132. https://doi.org/10.1111/j.1041-2972.2005.0020.x
Goldberg RM, Mabee J, Chan L, Wong S (1996) Drug-drug and drug-disease interactions in the ED: analysis of a high-risk population. Am J Emerg Med 14(5):447–450. https://doi.org/10.1016/s0735-6757(96)90147-3
Mallet L, Spinewine A, Huang A (2007) The challenge of managing drug interactions in elderly people. Lancet 370(9582):185–191. https://doi.org/10.1016/s0140-6736(07)61092-7
Mangoni AA, Jackson SH (2004) Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications. Br J Clin Pharmacol 57(1):6–14
Aymanns C, Keller F, Maus S, Hartmann B, Czock D (2010) Review on pharmacokinetics and pharmacodynamics and the aging kidney. Clin J Am Soc Nephrol: CJASN 5(2):314–327. https://doi.org/10.2215/CJN.03960609
Hajjar ER, Hanlon JT, Sloane RJ, Lindblad CI, Pieper CF, Ruby CM, Branch LC, Schmader KE (2005) Unnecessary drug use in frail older people at hospital discharge. J Am Geriatr Soc 53(9):1518–1523. https://doi.org/10.1111/j.1532-5415.2005.53523.x
McLean AJ, Le Couteur DG (2004) Aging biology and geriatric clinical pharmacology. Pharmacol Rev 56(2):163–184. https://doi.org/10.1124/pr.56.2.4
Turnheim K (2003) When drug therapy gets old: pharmacokinetics and pharmacodynamics in the elderly. Exp Gerontol 38(8):843–853
Ahmed N, Mandel R, Fain MJ (2007) Frailty: an emerging geriatric syndrome. Am J Med 120(9):748–753. https://doi.org/10.1016/j.amjmed.2006.10.018
Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, MA MB, Cardiovascular Health Study Collaborative Research G (2001) Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 56(3):M146–M156
Onder G, Pedone C, Landi F, Cesari M, Della Vedova C, Bernabei R, Gambassi G (2002) Adverse drug reactions as cause of hospital admissions: results from the Italian Group of Pharmacoepidemiology in the Elderly (GIFA). J Am Geriatr Soc 50(12):1962–1968
Back C, Wittmann M, Haen E (2011) Delirium induced by drug treatment. Ther Umsch 68(1):27–33. https://doi.org/10.1024/0040-5930/a000116
Rudolph JL, Salow MJ, Angelini MC, McGlinchey RE (2008) The anticholinergic risk scale and anticholinergic adverse effects in older persons. Arch Intern Med 168(5):508–513. https://doi.org/10.1001/archinternmed.2007.106
Chew ML, Mulsant BH, Pollock BG, Lehman ME, Greenspan A, Mahmoud RA, Kirshner MA, Sorisio DA, Bies RR, Gharabawi G (2008) Anticholinergic activity of 107 medications commonly used by older adults. J Am Geriatr Soc 56(7):1333–1341. https://doi.org/10.1111/j.1532-5415.2008.01737.x
Leon C, Gerretsen P, Uchida H, Suzuki T, Rajji T, Mamo DC (2010) Sensitivity to antipsychotic drugs in older adults. Curr Psychiatry Rep 12(1):28–33. https://doi.org/10.1007/s11920-009-0080-3
Trifiro G, Spina E (2011) Age-related changes in pharmacodynamics: focus on drugs acting on central nervous and cardiovascular systems. Curr Drug Metab 12(7):611–620
Mintzer J, Burns A (2000) Anticholinergic side-effects of drugs in elderly people. J R Soc Med 93(9):457–462
Mittal V, Muralee S, Williamson D, McEnerney N, Thomas J, Cash M, Tampi RR (2011) Review: delirium in the elderly: a comprehensive review. Am J Alzheimers Dis Other Dement 26(2):97–109. https://doi.org/10.1177/1533317510397331
Cancelli I, Beltrame M, Gigli GL, Valente M (2009) Drugs with anticholinergic properties: cognitive and neuropsychiatric side-effects in elderly patients. Neurol Sci 30(2):87–92. https://doi.org/10.1007/s10072-009-0033-y
Holt S, Schmiedl S, Thurmann PA (2010) Potentially inappropriate medications in the elderly: the PRISCUS list. Dtsch Arztebl Int 107(31–32):543–551. https://doi.org/10.3238/arztebl.2010.0543
American Geriatrics Society Beers Criteria Update Expert P (2012) American Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc 60(4):616–631. https://doi.org/10.1111/j.1532-5415.2012.03923.x
Wickop B, Harterich S, Sommer C, Daubmann A, Baehr M, Langebrake C (2016) Potentially inappropriate medication use in multimorbid elderly inpatients: differences between the FORTA, PRISCUS and STOPP ratings. Drugs Real World Outcomes 3(3):317–325. https://doi.org/10.1007/s40801-016-0085-2
Pazan F, Weiss C, Wehling M, Forta (2019) The FORTA (Fit fOR The Aged) list 2018: third version of a validated clinical tool for improved drug treatment in older people. Drugs Aging 36(5):481–484. https://doi.org/10.1007/s40266-019-00669-6
Field TS, Gurwitz JH, Avorn J, McCormick D, Jain S, Eckler M, Benser M, Bates DW (2001) Risk factors for adverse drug events among nursing home residents. Arch Intern Med 161(13):1629–1634
Dormann H, Sonst A, Muller F, Vogler R, Patapovas A, Pfistermeister B, Plank-Kiegele B, Kirchner M, Hartmann N, Burkle T, Maas R (2013) Adverse drug events in older patients admitted as an emergency: the role of potentially inappropriate medication in elderly people (PRISCUS). Dtsch Arztebl Int 110(13):213–219. https://doi.org/10.3238/arztebl.2013.0213
Williams S, Miller G, Khoury R, Grossberg GT (2019) Rational deprescribing in the older. Ann Clin Psychiatry 31(2):144–152
Dimitrow MS, Airaksinen MS, Kivela SL, Lyles A, Leikola SN (2011) Comparison of prescribing criteria to evaluate the appropriateness of drug treatment in individuals aged 65 and older: a systematic review. J Am Geriatr Soc 59(8):1521–1530. https://doi.org/10.1111/j.1532-5415.2011.03497.x
Hamilton HJ, Gallagher PF, O’Mahony D (2009) Inappropriate prescribing and adverse drug events in older people. BMC Geriatr 9:5. https://doi.org/10.1186/1471-2318-9-5
Duran CE, Azermai M, Vander Stichele RH (2013) Systematic review of anticholinergic risk scales in older adults. Eur J Clin Pharmacol 69:1485–1496. https://doi.org/10.1007/s00228-013-1499-3
Fick DM, Cooper JW, Wade WE, Waller JL, Maclean JR, Beers MH (2003) Updating the Beers criteria for potentially inappropriate medication use in older adults: results of a US consensus panel of experts. Arch Intern Med 163(22):2716–2724. https://doi.org/10.1001/archinte.163.22.2716
Gallagher P, O’Mahony D (2008) STOPP (screening tool of older persons’ potentially inappropriate prescriptions): application to acutely ill elderly patients and comparison with Beers’ criteria. Age Ageing 37(6):673–679. https://doi.org/10.1093/ageing/afn197
Laroche ML, Charmes JP, Merle L (2007) Potentially inappropriate medications in the elderly: a French consensus panel list. Eur J Clin Pharmacol 63(8):725–731. https://doi.org/10.1007/s00228-007-0324-2
Thiem U (2012) Potentially inappropriate medication: the quality of pharmacotherapy in the elderly. Internist 53(9):1125–1130. https://doi.org/10.1007/s00108-012-3087-5
Thiem U, Theile G, Junius-Walker U, Holt S, Thurmann P, Hinrichs T, Platen P, Diederichs C, Berger K, Hodek JM, Greiner W, Berkemeyer S, Pientka L, Trampisch HJ (2011) Prerequisites for a new health care model for elderly people with multimorbidity: the PRISCUS research consortium. Z Gerontol Geriatr 44(2):115–120. https://doi.org/10.1007/s00391-010-0156-z
Bauer TK, Lindenbaum K, Stroka MA, Engel S, Linder R, Verheyen F (2012) Fall risk increasing drugs and injuries of the frail elderly - evidence from administrative data. Pharmacoepidemiol Drug Saf 21(12):1321–1327. https://doi.org/10.1002/pds.3357
Liew TM, Lee CS, Goh Shawn KL, Chang ZY (2019) Potentially inappropriate prescribing among older persons: a meta-analysis of observational studies. Ann Fam Med 17(3):257–266. https://doi.org/10.1370/afm.2373
Spinewine A, Schmader KE, Barber N, Hughes C, Lapane KL, Swine C, Hanlon JT (2007) Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet 370(9582):173–184. https://doi.org/10.1016/s0140-6736(07)61091-5
Tommelein E, Mehuys E, Petrovic M, Somers A, Colin P, Boussery K (2015) Potentially inappropriate prescribing in community-dwelling older people across Europe: a systematic literature review. Eur J Clin Pharmacol 71(12):1415–1427. https://doi.org/10.1007/s00228-015-1954-4
Morin L, Laroche ML, Texier G, Johnell K (2016) Prevalence of potentially inappropriate medication use in older adults living in nursing homes: a systematic review. J Am Med Dir Assoc 17(9):862.e861-869. https://doi.org/10.1016/j.jamda.2016.06.011
Chang CB, Lai HY, Hwang SJ, Yang SY, Wu RS, Liu HC, Chan DC (2018) Prescription of potentially inappropriate medication to older patients presenting to the emergency department: a nationally representative population study. Sci Rep 8(1):11727. https://doi.org/10.1038/s41598-018-30184-4
Schubert I, Kupper-Nybelen J, Ihle P, Thurmann P (2013) Prescribing potentially inappropriate medication (PIM) in Germany’s elderly as indicated by the PRISCUS list. An analysis based on regional claims data. Pharmacoepidemiol Drug Saf 22(7):719–727. https://doi.org/10.1002/pds.3429
Amann U, Schmedt N, Garbe E (2012) Prescribing of potentially inappropriate medications for the elderly: an analysis based on the PRISCUS list. Dtsch Arztebl Int 109(5):69–75. https://doi.org/10.3238/arztebl.2012.0069
Soerensen AL, Nielsen LP, Poulsen BK, Lisby M, Mainz J (2016) Potentially inappropriate prescriptions in patients admitted to a psychiatric hospital. Nord J Psychiatry 70(5):365–373. https://doi.org/10.3109/08039488.2015.1127996
Wucherer D, Eichler T, Hertel J, Kilimann I, Richter S, Michalowsky B, Thyrian JR, Teipel S, Hoffmann W (2017) Potentially inappropriate medication in community-dwelling primary care patients who were screened positive for dementia. J Alzheimers Dis 55(2):691–701. https://doi.org/10.3233/jad-160581
Hefner G, Stieffenhofer V, Gabriel S, Palmer G, Muller KM, Roschke J, Hiemke C (2015) Side effects related to potentially inappropriate medications in elderly psychiatric patients under everyday pharmacotherapy. Eur J Clin Pharmacol 71(2):165–172. https://doi.org/10.1007/s00228-014-1796-5
Zimmermann T, Kaduszkiewicz H, van den Bussche H, Schon G, Brettschneider C, Konig HH, Wiese B, Bickel H, Mosch E, Luppa M, Riedel-Heller S, Werle J, Weyerer S, Fuchs A, Pentzek M, Hanisch B, Maier W, Scherer M, Jessen F, AgeCoDe-Study G (2013) Potentially inappropriate medication in elderly primary care patients : a retrospective, longitudinal analysis. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 56(7):941–949. https://doi.org/10.1007/s00103-013-1767-5
Fiss T, Thyrian JR, Fendrich K, van den Berg N, Hoffmann W (2013) Cognitive impairment in primary ambulatory health care: pharmacotherapy and the use of potentially inappropriate medicine. Int J Geriatr Psychiatry 28(2):173–181. https://doi.org/10.1002/gps.3806
Gray SL, Hart LA, Perera S, Semla TP, Schmader KE, Hanlon JT (2018) Meta-analysis of interventions to reduce adverse drug reactions in older adults. J Am Geriatr Soc 66(2):282–288. https://doi.org/10.1111/jgs.15195
Siebert S, Elkeles B, Hempel G, Kruse J, Smollich M (2013) The PRISCUS list in clinical routine. Practicability and comparison to international PIM lists. Z Gerontol Geriatr 46(1):35–47. https://doi.org/10.1007/s00391-012-0324-4
Goulding MR (2004) Inappropriate medication prescribing for elderly ambulatory care patients. Arch Intern Med 164(3):305–312. https://doi.org/10.1001/archinte.164.3.305
Carey IM, De Wilde S, Harris T, Victor C, Richards N, Hilton SR, Cook DG (2008) What factors predict potentially inappropriate primary care prescribing in older people? Analysis of UK primary care patient record database. Drugs Aging 25(8):693–706. https://doi.org/10.2165/00002512-200825080-00006
Bongue B, Naudin F, Laroche ML, Galteau MM, Guy C, Guéguen R, Convers JP, Colvez A, Maarouf N (2009) Trends of the potentially inappropriate medication consumption over 10 years in older adults in the East of France. Pharmacoepidemiol Drug Saf 18(12):1125–1133. https://doi.org/10.1002/pds.1762
Buck MD, Atreja A, Brunker CP, Jain A, Suh TT, Palmer RM, Dorr DA, Harris CM, Wilcox AB (2009) Potentially inappropriate medication prescribing in outpatient practices: prevalence and patient characteristics based on electronic health records. Am J Geriatr Pharmacother 7(2):84–92. https://doi.org/10.1016/j.amjopharm.2009.03.001
Pugh MJ, Rosen AK, Montez-Rath M, Amuan ME, Fincke BG, Burk M, Bierman A, Cunningham F, Mortensen EM, Berlowitz DR (2008) Potentially inappropriate prescribing for the elderly: effects of geriatric care at the patient and health care system level. Med Care 46(2):167–173. https://doi.org/10.1097/MLR.0b013e318158aec2
Airagnes G, Pelissolo A, Lavallee M, Flament M, Limosin F (2016) Benzodiazepine misuse in the elderly: risk factors, consequences, and management. Curr Psychiatry Rep 18(10):89. https://doi.org/10.1007/s11920-016-0727-9
Hessmann P, Dodel R, Baum E, Muller MJ, Paschke G, Kis B, Zeidler J, Klora M, Reese JP, Balzer-Geldsetzer M (2019) Prescription of benzodiazepines and related drugs in patients with mild cognitive deficits and Alzheimer’s disease. Pharmacopsychiatry 52(2):84–91. https://doi.org/10.1055/s-0044-100523
Markota M, Rummans TA, Bostwick JM, Lapid MI (2016) Benzodiazepine use in older adults: dangers, management, and alternative therapies. Mayo Clin Proc 91(11):1632–1639. https://doi.org/10.1016/j.mayocp.2016.07.024
Alexopoulos GS, Streim J, Carpenter D, Docherty JP, Expert Consensus Panel for Using Antipsychotic Drugs in Older P (2004) Using antipsychotic agents in older patients. J Clin Psychiatry 65(Suppl 2):5–99 discussion 100-102; quiz 103-104
Alexopoulos GS, Katz IR, Reynolds CF 3rd, Carpenter D, Docherty JP, Expert Consensus Panel for Pharmacotherapy of Depressive Disorders in Older P (2001) The expert consensus guideline series. Pharmacotherapy of depressive disorders in older patients. Postgraduate medicine. Spec No Pharmacotherapy:1–86
Roose SP, Sackeim HA, Krishnan KR, Pollock BG, Alexopoulos G, Lavretsky H, Katz IR, Hakkarainen H, Old-Old Depression Study G (2004) Antidepressant pharmacotherapy in the treatment of depression in the very old: a randomized, placebo-controlled trial. Am J Psychiatry 161(11):2050–2059. https://doi.org/10.1176/appi.ajp.161.11.2050
Alexopoulos GS, Jeste DV, Chung H, Carpenter D, Ross R, Docherty JP (2005) The expert consensus guideline series. Treatment of dementia and its behavioral disturbances. Introduction: methods, commentary, and summary. Postgrad Med Spec No:6–22
Acknowledgments
The authors are very grateful to all 10 participating hospitals for their voluntary collection of data.
Availability of data and material
Data transparency was given and controlled by external government in Hesse, Germany.
Funding
The Federal Joint Committee (G-BA, project executing organization, Deutsches Zentrum für Luft- und Raumfahrt, DLR) is funding health care research projects that aim to optimize quality of care for statutory insured persons in Germany. In this regard, the innovative study “Optimization of pharmacological treatment in hospitalized psychiatric patients” (OSA-PSY, study number 01VSF16009, ethical approval reference number FF 116/2017) is sponsored by the DLR.
Author information
Authors and Affiliations
Contributions
G. Hefner did literature search, did analysis, pharmacological interpretation, and wrote the final manuscript. M. Hahn, S. C. Roll, S. Toto, and C. Hiemke did analysis and pharmacological interpretation of the manuscript. J. Wolff did statistical analysis of patient data. A. Klimke gave the idea and made data analysis and interpretation of study results.
Corresponding author
Ethics declarations
Conflict of interest
Gudrun Hefner, Martina Hahn, Sibylle C. Roll, Jan Wolff, and Ansgar Klimke declare no conflicts of interest/competing interests. Sermin Toto has been a member of an advisory board for Otsouka, and has received speaker’s honoraria from Janssen Cilag, Lundbeck, Otsouka, and Servier. Christoph Hiemke has received speaker’s and consultancy fees from Stada, Lohmann Transdermal Systems, and Otsuka during the last 2 years.
Ethics approval
Ethical approval in November 2017 in Hesse, Germany; reference number FF 116/2017.
Consent to participate and for publications
All authors consent to participate in this study and for publication of this study results.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Hefner, G., Hahn, M., Toto, S. et al. Potentially inappropriate medication in older psychiatric patients. Eur J Clin Pharmacol 77, 331–339 (2021). https://doi.org/10.1007/s00228-020-03012-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00228-020-03012-w