Potentially inappropriate medications use in community-based aged patients: a cross-sectional study using 2012 Beers criteria
Authors Zeenny R, Wakim S, Kuyumjian YM
Received 29 April 2015
Accepted for publication 11 July 2015
Published 4 January 2017 Volume 2017:12 Pages 65—73
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 5
Editor who approved publication: Dr Richard Walker
Rony Zeenny, Samira Wakim, Yara-Mary Kuyumjian
Department of Pharmacy Practice, School of Pharmacy, Lebanese American University, Byblos, Lebanon
Background: Potentially inappropriate medications (PIMs) should be avoided by the aged population. The aim of this study was to assess the prevalence of PIMs among Lebanese aged outpatients using Beers criteria of 2012. The secondary objectives were to identify the correlates of the PIMs use and to compare the PIMs prevalence rates as per Beers criteria of 2003 and 2012.
Methods: This cross-sectional observational study was conducted among aged outpatients of different accredited community pharmacies across Lebanon. Data were collected through a validated questionnaire. The Beers criteria of 2012 were used to evaluate PIMs. The association between PIMs used and independent variables were analyzed by logistic regression. The differences between PIMs use according to Beers criteria 2003 and 2012 were calculated using chi-squared and McNemar’s tests.
Results: A total of 248 outpatients were analyzed. We identified 112 (45.2%) out of 248 patients taking PIMs. The leading classes of medications identified to cause PIMs were those acting on the central nervous system (71.4%). The factors associated with PIMs use were age, osteoporosis, Alzheimer/dementia, diabetes, and alcohol consumption. PIMs use increased significantly between Beers criteria 2003 and 2012 (Chi-squared test, P<0.001; McNemar’s test, P<0.001).
Conclusion: Our study showed a high prevalence of PIMs use in Lebanon, which is associated with various correlates. Education of health care providers and medication review should be considered to improve medication safety of older adults.
Keywords: Beers criteria, aged, inappropriate drug prescriptions, outpatients, potentially inappropriate medication
The aged population accounts for a significant part of the population in many countries of the world. Between 2000 and 2050, the proportion of the world’s population aged more than 60 years will double from approximately 11% to 22%.1 In Lebanon, the proportion of the aged population has been increasing since 1990, where it stood at 5.2% to reach 9.2% in 2013, and is expected to reach 21% in 2050.2,3 The presence of many comorbidities, polypharmacy, physiological changes, and socioeconomic status constitute risk factors for the occurence of adverse drug events (ADEs) in this high risk population.4,5
Furthermore, while polypharmacy is a common phenomenon in aged populations because of multimorbidity, it is associated with inappropriate drug use and drug interactions leading to an increased risk of adverse drug reactions/events and indices of morbidity and mortality, especially among the very old.6–8 Potentially inappropriate medication (PIM) is defined as:
A drug in which the risk of an adverse event outweighs its clinical benefit, particularly when there is a safer or more effective alternate therapy for the same condition.9
Several criteria have been designed for the identification of PIMs, including the Beers criteria. The Beers criteria are guidelines based on expert consensus developed through an extensive literature review by recognized experts in geriatric care, clinical pharmacology, and psychopharmacology in the USA. The aim of these guidelines is to assist health care professionals improve the safety of prescribing medications for older adults by reducing the risk associated with polypharmacy, drug interactions, and adverse drug reactions.10 Beers criteria have undergone a major reformation in 201210 by the American Geriatrics Society based on evidence-based recommendations as compared with the previous version of 2003.11
The use of PIMs has been studied in various settings, including the outpatient,12–16 hospital,17,18 and the care home setting.19–21 Identifying PIMs is the first step in the process of minimizing the pharmacotherapy-related hazards in this vulnerable population.
In this study, our main goal was to assess the prevalence of PIMs among Lebanese aged outpatients using Beers criteria of 2012.10 We also intended to investigate whether demographic characteristics, alcohol consumption, smoking habits, and comorbidities are associated with the use of PIMs. Finally, we aimed to compare the prevalence of PIMs in Lebanon based on Beers criteria of 2012 versus 2003. Data on the 2003 PIMs prevalence were based on a previous study conducted on Lebanese aged outpatients in the same settings as our study with a different database.22
Study design and population
From April to August 2012, a national, multicenter, observational, cross-sectional questionnaire-based study was conducted in a convenient sample of Lebanese aged outpatients of different accredited community pharmacies located in different areas of Lebanon. Patients who met the eligibility criteria were enrolled in the study. Eligible participants for this study were Lebanese outpatients aged ≥65 years, filling their prescriptions, with at least one prescription drug for their own use in community pharmacy settings.
Each pharmacy was asked to select 16 aged patients to enroll in the study. Each day, the first eligible patient who came in the pharmacy was invited to complete the questionnaire on site. This face-to-face method relied on soliciting the patient’s answers to written questions by survey with direct assistance of the interviewee.
Patients were interviewed in Lebanese Arabic by pharmacists, who were well trained to conduct standardized questionnaires. An in-charge pharmacist was available for conducting regular quality control checks on the process. For ethical purposes, the names of the patients were undisclosed, and patients were referred by identification numbers.
The updated Beers criteria of 2012 were used to construct the questionnaire and detect questions relevant to the analysis.10 The final version of the questionnaire was pretested and written in English. It included the following: age and sex of the patient and location of the pharmacy. It also focused on the list of medications received by the patients, including drug name, dose, route, and frequency of administration. The date of the treatment initiation and planned duration were also requested. Data about over-the-counter medicines and multivitamins were reported. Comorbidities of the patients were also reported. A list of the relevant health conditions, as reported in the Beers criteria of 2012, was provided to the interviewer to check if consistent with the patient medical history. Any other relevant information was also documented. Reported comorbidities were based on a previous diagnosis by a physician.
Courses of therapy were assessed and classified as either appropriate or inappropriate. Beers criteria of 2012 were used as the source to identify PIMs among the aged.10 Beers PIMs were further classified into three categories: 1) PIMs and classes of medications to avoid in older adults, 2) PIMs and classes of medications to avoid in older adults with certain diseases and syndromes that the drugs can exacerbate, and 3) medications to be used with caution in older adults.
Records for aged patients with incomplete, insufficient, or conflicting data were excluded. Sample characteristics were summarized using the mean and the standard deviation for age and frequency distributions for all other variables such as age groups, sex, and smoking habits. Comorbidities were summarized using frequency distribution and grouped according to the World Health Organization International Classification of Diseases (ICD)-10 subgroups.23 Those were compared between males and females using the chi-squared test or Fisher’s exact test when expected cell counts fell below five.
The prevalence of PIMs was computed based on Beers criteria of 2012. Moreover, the prevalence of PIMs and classes to avoid in older adults with certain diseases and syndromes that the drugs can exacerbate and the prevalence of PIMs to be used with caution in older adults were computed.
Logistic regression was used to assess the potential relationship between this main outcome of PIMs use and demographic variables and comorbidities. The Hosmer and Lemeshow goodness-of-fit test was used for the logistic regression model in order to assess model fit. Variables showing a P-value of 0.25 or less at the bivariate level were included in the multivariable model. The final multivariable model included variables that were significant or had confounding effect on other variables.
In order to assess changes in the prevalence of PIMs over years, the prevalence of PIMs as assessed in this study with Beers criteria of 2012 and its counterpart as reported by Saab et al according to Beers criteria of 200322 were compared using the chi-squared test. In addition, the prevalence in Saab et al was compared with the prevalence of PIMs from this study assuming the same Beers criteria of 2003 were used. Finally, we compared within our study, the prevalence of PIMs according to Beers criteria of 2003 and 2012 using McNemar’s test. The main key was to verify whether the increase in the prevalence of PIMs in the present study as compared with the Saab et al study is strictly due to the intake of medications that were recently considered inappropriate and accordingly added to the 2012 list of Beers criteria.
Significance level was set at 5%. The statistical analysis was carried out using IBM-SPSS version 21 software for Windows Release (Released 2012 IBM Corporation, Armonk, NY, USA).
The study was approved by the Lebanese American University’s Institutional Review Board. The purpose of the study was elucidated and verbal consent was obtained before the participants were interviewed, respecting their autonomy and anonymity.
Recruitment of the patients
Over 5 months, a total of 253 aged patients’ profiles in 16 pharmacies across Lebanon were reviewed in this study, of which 248 were eligible for the statistical analysis. Five participants were excluded from the final analysis for incomplete data provision, mainly age.
Demographic characteristics of the patients
The final analyzed sample ranged in age between 65 years and 98 years with an average of 70.9±5.0 years and with a male to female ratio of 1.56 (95% confidence interval [CI] =0.94–2.59). Cigarette smoking and alcohol consumption were reported by 29.8% and 25.0% of the participants, respectively (Table 1).
Comorbidity characteristics of patients
Diseases of the circulatory system as well as endocrine, nutritional, and metabolic disorders were the most reported ones among the 248 participants. In particular, the highest reported comorbidities were hypertension (47.2%), diabetes (41.5%), dyslipidemia (38.7%), and benign prostatic hyperplasia (9.3%). Significant sex differences were observed among few of the reported diseases, excluding benign prostatic hyperplasia. As such, coronary artery disease/angina and benign prostatic hyperplasia were reported significantly higher among males than females, while osteoporosis, anxiety, and depression were significantly more prevalent among the female participants. Comorbidities are detailed in Table 2.
Table 2 Comorbidities of the aged patients (N=248)
Primary outcome: medication appropriateness
Our study identified 112 (45.2%) out of 248 patients taking PIMs. Distribution of PIMs in our sample according to the Beers criteria of 2012 was as follows: 35.5% (n=88) cases were identified taking medications to be avoided in older adults. Additionally, 11.7% (n=29) cases were taking medications to be avoided in older adults with certain diseases and syndromes that the drugs can exacerbate, and 17.7% (n=44) cases were taking drugs to be used with caution in older adults (Table 3).
Table 3 Prevalence drugs according to Beers criteria of 2012 in the Lebanese patients (N=248)
Classes of medications identified to cause PIMs
The classes of medications identified to cause PIMs involved 141 drugs among aged Lebanese patients (Table 4). Drugs acting on the central nervous system were the leading ones (71.4%), followed by those of the circulatory system (13.5%). Antidiabetic agents accounted for 13.1% of the total PIMs.
Table 4 Classes of medications identified to cause PIMs in aged Lebanese patients (n=141)
Correlates of the PIMs
The main outcome was the PIM use as per Beers criteria of 2012 at the bivariable and multivariable levels. Using the bivariate analysis, there were no associations between this main outcome and age, cigarette smoking, or alcohol use. However, females had 2.66 times the odds of having inappropriate drug prescriptions as compared with males.
The Hosmer and Lemeshow goodness-of-fit test produced a P-value of 0.11, suggesting the multivariable logistic model fits the data. The final model included sex, alcohol consumption, and age as predictive factors along with osteoporosis, Alzheimer/dementia, and diabetes.
After adjusting for all other variables in the model, patients who suffered from any of the three aforementioned diseases had increased odds of PIMs as compared with those who did not. In particular, a patient suffering from osteoporosis or Alzheimer/dementia has, respectively, 5.29 and 3.21 times the odds of having inappropriate drug prescriptions as compared with an elder person free from these diseases. Still in the final model, patients who do not consume alcohol had ~1.92 times the odds of having PIMs as compared with those who consume alcohol. Finally, the risk of inappropriate drug prescriptions was significantly associated with age (odds ratio [OR] =1.08, 95% CI =1.02–1.14). “For every 5 years increase in age, the possibility of taking PIMs is multiplied by the OR raised to the power 5 (1.47; Table 5).”
Table 5 Multivariable logistic regression: dependent variable is PIMs use
Beers criteria of 2003 versus 2012
Out of the 112 patients who are taking PIMs, 45 patients were taking medications that have been added to Beers criteria of 2012 and were therefore not included in the classification of 2003. The remaining 67 patients were taking at least one medication that was listed as inappropriate in the Beers criteria of 2003. The difference in the prevalence rates of PIMs use in Lebanon, as assessed by Beers criteria of 2003 in Saab et al22 and criteria of 2012 in our study, was tested twice taking into account or not those 45 patients taking the recently listed medications.
First, when comparing the prevalence of PIMs in Lebanon based on both Beers criteria of 2003 and 2012, the overall prevalence of 45.2% of patients with PIMs use in our study is significantly higher than the prevalence in Saab et al (45.2% versus 22.4%, respectively, P<0.001). Second, the prevalence of PIMs use in Lebanon did not increase significantly when comparing the prevalence of PIMs across years using the same Beers criteria of 2003 (P=0.218). Finally, using Beers criteria of 2012 yielded a significantly higher PIMs use within our sample as compared with the 2003 criteria (45.2% versus 27%, respectively, P<0.001; Table 6). Our findings suggest that the significant difference between the two studies is due to the new list of medications to be avoided in addition to drug classes to be used with caution in aged that were absent in Beers criteria of 2003 but were included in the updates of Beers criteria of 2012.
PIMs in Lebanon
High prevalence of PIMs use was identified among aged in Lebanon as per the final updated 2012 Beers criteria (45.2%). To our knowledge, this is the first study to assess PIMs use with Beers Criteria of 2012 in Lebanon. However, one study in 2005 has investigated the prevalence of PIMs among aged outpatients in Lebanon in terms of Beers criteria of 2003 (22.4%).22
Comparison with international studies
The prevalence of PIMs in this study was apparently higher than that found in studies conducted in other countries, where the 2003 version of the Beers criteria was adopted to evaluate the prescriptions (13%–40.7%).4,20,24–26 However, our results fall in the same range as those reported by the New-Zealander and Brazilian studies which based their analysis on the 2012 Beers criteria.14,16 Nishtala et al studied the database of a cohort of community-dwelling older people in New Zealand and found that the prevalence of PIMs among aged outpatients according to Beers criteria of 2012 was 42.7%.14 The Brazilian cross-sectional study found a prevalence of 59.2% in PIMs use among pharmacy outpatients.16 Those high rates of PIMs use might be related to the high rate of self-medication.14,16 Official data about auto-medication are lacking in Lebanon. Moreover, the prevalence in different populations may vary according to the time and place of data gathering.13 As such, factors like ethnicity, economic incomes, and duration of data gathering may also contribute toward the differences.27,28
Alongside studies about PIMs use among aged outpatients, others detected a high prevalence of PIMs use in hospitalized aged and recipients of home health care services in Nigeria, Taiwan, and India, according to Beers criteria of 2012.17,29,30 One feature of the Indian study is that it explained the reason of the increasing rate of PIMs use when comparing the Beers criteria of 2003 and 2012. This point will be further discussed throughout the following sections.
Classes of medications identified to cause PIMs
We observed a predominance of inappropriate medications acting on the central nervous system (71.4%). Similar findings were observed in studies conducted among residents of long-term care for the aged.19,31,32 The predominant use of benzodiazepines, sedative, and hypnotics among our study population reflects the high number of older adults affected by mental disorders such as depression, anxiety, and insomnia, as reported by Converso and Iartelli33 and Lenardt et al.34
Correlates of the PIMs
We found that age and certain comorbidities (osteoporosis, diabetes, and Alzheimer/dementia) were associated with the use of PIMs. A unique finding in our study is that taking PIMs’ odds is multiplied by the OR to the power 5, for every 5 years increase in age. Moreover, the relationship between PIMs use and alcohol consumption was barely significant (P=0.049). Older patients are more likely than younger ones to receive medical prescriptions and may therefore be more likely to abstain from alcohol to avoid interactions. Consequently, because polymedicated older patients generally may drink less than younger ones and are more likely at risk of taking PIMs,35 our study findings may be less likely to recognize alcohol consumption as a risk factor.
The majority of aged patients have multiple comorbidities, including osteoporosis, which in turn lead to a greater consumption of medications and increase the likelihood of receiving a prescription that includes one or more inappropriate medications.19,36 Furthermore, elderly patients with diabetes are particularly vulnerable because of the additive deleterious effects of diabetes on cognitive functions. Studies have shown that patients with diabetes were noted to have impaired memory and attention.37–41 Degenerative disorders of the brain such as Alzheimer’s disease and dementia lead to gait disturbances, confusion and memory loss impeding their ability to comply with the medication precautions.42,43 Finally, according to Wawruch et al44 the association between PIMs use and certain pathologies could be an important marker of incorrect disease management and a tendency for inappropriate prescriptions. This finding shows the importance of understanding what conditions or factors are associated with inappropriate medication use, as having this knowledge makes it possible to evaluate the quality of the health care provided.
Beers criteria of 2003 versus 2012
Our results showed that PIMs use increased significantly in Lebanon between Beers criteria of 2003 as identified by Saab et al in 200622 and 2012 (P<0.001, Table 6). Similar conclusions are found in the literature.16,30 Due to the continuous addition of medications to the market, the American Geriatrics Society updated in 2012 the Beers criteria by using an evidence-based approach.10 As in the past, this update categorized PIMs into two broad groups: medications to avoid in older adults regardless of diseases or conditions and medications considered potentially inappropriate when used in older adults with certain diseases or syndromes. A third group of medications that should be used with caution, was added. The latest version of the PIMs list in the 2012 guidelines has been updated with the addition of new drugs and the omission of drugs that are no longer used or available on the market. Beers criteria of 2012 are hence found to be stricter than Beers criteria of 2003 in identifying the PIMs use. This may be attributed to the significant changes made in the updated Beers criteria, mainly the addition of the third category of PIMs, and a new set of medications that are considered as inappropriate since 2003.
In parallel, regardless of which set of Beers criteria is used, the increase of prevalence from 22.4% in 200622 to 27% in the current study is not significant. Nonetheless, this is contradictory with the findings of Zimmermann et al.45 The latter revealed that the use of PIMs according to Beers’ list significantly decreased from 21% to 17.1% over a period of 4.5 years in a cohort of German patients aged ≥75 years because of a more rational drug therapy. Even though awareness to PIMs has been increasing, our results underlines the unfortunate fact that patients in the Lebanese community can acquire most prescription medications, excluding psychotropic drugs, narcotics, cocaine, and other highly addictive substances, without a physician’s prescription. This is mainly due to the absence of law application and reinforcement.
Finally, given the relevance of the inappropriate use of drugs, and since medications that are widely used should now be avoided or used with caution as per Beers criteria of 2012, health care providers are urged to take the necessary precautions when managing these medications in aged population. As such, a Swedish study found that the extent of inappropriate drug prescriptions for the aged (≥65 years of age) improved over the period 2006–2013 due to improved/safer prescribing practices adopted by physicians when dealing with elderly patients.46 Additionally, pharmacists play a major role in reducing suboptimal prescribing as disclosed in a review that evaluated the impact of pharmacists’ interventions to improve the appropriateness of prescribing in the aged.47 Lastly, regardless of which Beers criteria are adopted, there is a high prevalence of PIMs use in Lebanese aged outpatients, which must be brought to the attention of clinicians. In this context, a debate on drug therapy for the aged must be initiated to encourage prescribers to periodically review all medications in relation to the Beers criteria and to be alerted about new medicines as guidance to good geriatric care and medication safety practices.
Two limitations of this survey should be noted. First, the results of our study cannot be generalized to the aged patients across Lebanon, including institutionalized aged people in nursing homes or care centers, because this study was restricted to the prescription profile of outpatients in community pharmacies. Second, the convenience sampling may have underestimated the prevalence of PIMs. The rationale is that many patients get their medications from dispensaries where only generic drugs can be dispensed based on a prescription with or without the presence of a pharmacist, which can increase the risk of inappropriateness.
This study is the first Lebanese study to evaluate the use of PIMs in the aged using the revised Beers criteria of 2012.10 It identified age, osteoporosis, diabetes, and Alzheimer/dementia as risk factors and alcohol consumption as a protective one for the use of PIMs in Lebanon. Besides, the prevalence of PIMs was found to be relatively high in Lebanese outpatient older people. Importantly, our study showed that the prevalence of PIMs increased significantly from 22.4% to 45.2% across years using Beers criteria of 2003 and 2012, mainly because of the change of set of criteria. Nonetheless, the increase of prevalence from 22.4% in 2003 to 27% in the current study is not significant when using the same Beers criteria of 2003. Therefore, PIMs defined by the Beers criteria of 2012 might be a useful initial screening tool, before efforts to stop unsafe medication use or replace with safer alternatives are initiated. It is also imperative that health care professionals raise their awareness about inappropriate pharmacotherapy with a goal to prevent and mitigate complications. Thus, part of the pharmacists’ role is to perform medication therapy management which consists of making recommendations about drug selection and modification. Consequently, improving medical prescribing and decreasing the prevalence of PIMs in Lebanon.
We are grateful to all the community pharmacies in which the study was carried out and to the patients who participated in the study. We also thank Ziyad Mahfoud, PhD, for his assistance with the statistical analysis. The ideas expressed in this manuscript are those of the authors and in no way represent the position of the Lebanese American University or the School of Pharmacy, Byblos, Lebanon.
At the time of the study conduct, Samira Wakim, and Yara-Mary Kuyumjian were students at the School of Pharmacy.
Rony Zeenny, Samira Wakim, and Yara-Mary Kuyumjian had full access to all data in the study and made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data. Rony Zeenny drafted the manuscript, and all authors provided critical revisions of intellectual content and gave final approval of the version to be published. All authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
The authors report no conflicts of interest in this work.
WHO. Ageing and Life Course. Geneva: Switzerland: WHO; 2013. Available from: http://www.who.int/ageing/en/. Accessed April 28, 2015.
ESCWA. The Demographic Profile of Lebanon. Geneva: Switzerland, United Nations: 2010. Available from: http://www.escwa.un.org/popin/members/lebanon.pdf. Accessed April 28, 2015.
IndexMundi. Lebanon Demographics Profile 2013. 2015. Available from: http://www.indexmundi.com/lebanon/demographics_profile.html. Accessed April 28, 2015.
Fick DM, Mion LC, Beers MH, L Waller J. Health outcomes associated with potentially inappropriate medication use in older adults. Res Nurs Health. 2008;31(1):42–51.
Pasina L, Brucato AL, Falcone C, et al. Medication non-adherence among elderly patients newly discharged and receiving polypharmacy. Drugs Aging. 2014;31(4):283–289.
Herr M, Robine JM, Pinot J, Arvieu JJ, Ankri J. Polypharmacy and frailty: prevalence, relationship, and impact on mortality in a French sample of 2350 old people. Pharmacoepidemiol Drug Saf. 2015;24:637–646.
Fried TR, O’Leary J, Towle V, Goldstein MK, Trentalange M, Martin DK. Health outcomes associated with polypharmacy in community-dwelling older adults: a systematic review. J Am Geriatr Soc. 2014;62:2261–2272.
Saastamoinen LK, Verho J. Register-based indicators for potentially inappropriate medication in high-cost patients with excessive polypharmacy. Pharmacoepidemiol Drug Saf. 2015;24:610–618.
Corsonello A, Pranno L, Garasto S, Fabietti P, Bustacchini S, Lattanzio F. Potentially inappropriate medication in elderly hospitalized patients. Drugs Aging. 2009;26(suppl 1):31–39.
American Geriatrics Society 2012 Beers Criteria Update Expert Panel. American Geriatrics Society updated Beers criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2012;60(4):616–631.
Fick DM, Cooper JW, Wade WE, Waller JL, Maclean JR, Beers MH. Updating the Beers criteria for potentially inappropriate medication use in older adults: results of a US consensus panel of experts. Arch Intern Med. 2003;163(22):2716–2724.
de Oliveira Martins S, Soares MA, Foppe van Mil JW, Cabrita J. Inappropriate drug use by Portuguese elderly outpatients – effect of the Beers criteria update. Pharm World Sci. 2006;28(5):296–301.
Faustino CG, Passarelli MC, Jacob-Filho W. Potentially inappropriate medications among elderly Brazilian outpatients. Sao Paulo Med J. 2013;131(1):19–26.
Nishtala PS, Bagge ML, Campbell AJ, Tordoff JM. Potentially inappropriate medicines in a cohort of community-dwelling older people in New Zealand. Geriatr Gerontol Int. 2014;14(1):89–93.
Buck MD, Atreja A, Brunker CP, et al. Potentially inappropriate medication prescribing in outpatient practices: prevalence and patient characteristics based on electronic health records. Am J Geriatr Pharmacother. 2009;7(2):84–92.
Baldoni Ade O, Ayres LR, Martinez EZ, Dewulf Nde L, Dos Santos V, Pereira LR. Factors associated with potentially inappropriate medications use by the elderly according to Beers criteria 2003 and 2012. Int J Clin Pharm. 2014;36(2):316–324.
Fadare JO, Agboola SM, Opeke OA, Alabi RA. Prescription pattern and prevalence of potentially inappropriate medications among elderly patients in a Nigerian rural tertiary hospital. Ther Clin Risk Manag. 2013;6:115–120.
Sakuma M, Morimoto T, Matsui K, et al. Epidemiology of potentially inappropriate medication use in elderly patients in Japanese acute care hospitals. Pharmacoepidemiol Drug Saf. 2011;20(4):386–392.
Vieira de Lima TJ, Garbin CA, Garbin AJ, Sumida DH, Saliba O. Potentially inappropriate medications used by the elderly: prevalence and risk factors in Brazilian care homes. BMC Geriatr. 2013;13:52.
Hu SH, Capezuti E, Foust JB, Boltz MP, Kim H. Medication discrepancy and potentially inappropriate medication in older Chinese-American home-care patients after hospital discharge. Am J Geriatr Pharmacother. 2012;10(5):284–295.
Hosia-Randell HM, Muurinen SM, Pitkälä KH. Exposure to potentially inappropriate drugs and drug-drug interactions in elderly nursing home residents in Helsinki, Finland: a cross-sectional study. Drugs Aging. 2008;25(8):683–692.
Saab YB, Hachem A, Sinno S, El-Moalem H. Inappropriate medication use in elderly Lebanese outpatients: prevalence and risk factors. Drugs Aging. 2006;23(9):743–752.
World Health Organization. International Statistical Classification of Disease and Related Health Problems, Tenth Revision (ICD-10).Version 2010. 2015. Available from: http://www.who.int/classifications/icd/ICD10Volume2_en_2010.pdf. Accessed April 28, 2015.
Viswanathan H, Bharmal M, Thomas J 3rd. Prevalence and correlates of potentially inappropriate prescribing among ambulatory older patients in the year 2001: comparison of three explicit criteria. Clin Ther. 2005;27(1):88–99.
Egger SS, Bachmann A, Hubmann N, Schlienger RG, Krähenbühl S. Prevalence of potentially inappropriate medication use in elderly patients: comparison between general medical and geriatric wards. Drugs Aging. 2006;23(10):823–837.
van der Hooft CS, Jong GW, Dieleman JP, et al. Inappropriate drug prescribing in older adults: the updated 2002 Beers criteria – a population-based cohort study. Br J Clin Pharmacol. 2005;60(2):137–144.
Piecoro LT, Browning SR, Prince TS, Ranz TT, Scutchfield FD. A database analysis of potentially inappropriate drug use in an elderly medicaid population. Pharmacotherapy. 2000;20(2):221–228.
Holmes HM, Luo R, Kuo YF, Baillargeon J, Goodwin JS. Association of potentially inappropriate medication use with patient and prescriber characteristics in Medicare Part D. Pharmacoepidemiol Drug Saf. 2013;22(7):728–734.
Chang CB, Lai HY, Yang SY, et al. Patient- and clinic visit-related factors associated with potentially inappropriate medication use among older home healthcare service recipients. PLoS One. 2014;9(4):e94350.
Momin TG, Pandya RN, Rana DA, Patel VG. Use of potentially inappropriate medications in hospitalized elderly at a teaching hospital: a comparison between Beers 2003 and 2012 criteria. Indian J Pharmacol. 2013;45(6):603–607.
Mann E, Köpke S, Haastert B, Pitkälä K, Meyes G. Psychotropic medication use among nursing home residents in Austria: a cross-sectional study. BMC Geriatr. 2009;9:18.
Forsetlund L, Eike MC, Gjerberg E, Vist GE. Effect of interventions to reduce potentially inappropriate use of drugs in nursing homes: a systematic review of randomized controlled trials. BMC Geriatr. 2011;11:16.
Converso MER, Iartelli I. Character and analysis of the mental and functional state of elderly people institutionalized in long-stay public institutions. J Bras Psiquiatr. 2007;56:267–272.
Lenardt MH, Michel T, Wachholz PA, Borghi AS, Seima MD. The performance of institutionalized elderly people on the mental state miniexam. Acta Paul Enferm. 2009;22:638–644.
Cullinan S, O’Mahony D, Fleming A, Byrne S. A meta-synthesis of potentially inappropriate prescribing in older patients. Drugs Aging. 2014;31(8):631–638.
Murad K, Kitzman DW. Frailty and multiple comorbidities in the elderly patient with heart failure: implications for management. Heart Fail Rev. 2012;17(4–5):581–588.
Kodl CT, Seaquist ER. Cognitive dysfunction and diabetes mellitus. Endocr Rev. 2008;29(4):494–511.
Wessels AM, Rombouts SA, Remijnse PL, et al. Cognitive performance in type 1 diabetes patients is associated with cerebral white matter volume. Diabetologia. 2007;50(8):1763–1769.
Weinger K, Jacobson AM, Musen G, et al. The effects of type 1 diabetes on cerebral white matter. Diabetologia. 2008;51:417–425.
Northam EA, Anderson PJ, Werther GA, Warne GL, Adler RG, Andrewes D. Neuropsychological complications of IDDM in children 2 years after disease onset. Diabetes Care. 1998;21(3):379–384.
Breitling LP, Olsen H, Müller H, Schöttker B, Kliegel M, Brenner H. Self- or physician-reported diabetes, glycemia markers, and cognitive functioning in older adults in Germany. Am J Geriatr Psychiatry. 2014;22(11):1105–1115.
Lau DT, Mercaldo ND, Harris AT, Trittschuh E, Shega J, Weintraub S. Polypharmacy and potentially inappropriate medication use among community-dwelling elders with dementia. Alzheimer Dis Assoc Disord. 2010;24(1):56–63.
Alhola P, Polo-Kantola P. Sleep deprivation: impact on cognitive performance. Neuropsychiatr Dis Treat. 2007;3(5):553–567.
Wawruch M, Fialova D, Zikavska M, et al. Factors influencing the use of potentially inappropriate medication in older patients in Slovakia. J Clin Pharm Ther. 2008;33(4):381–392.
Zimmermann T, Kaduszkiewicz H, van den Bussche H, et al; AgeCoDe-Study Group. AgeCoDe-Study Group. Potenziell inadäquate Medikamente bei älteren hausärztlich versorgten Patientinnen und Patienten: Eine retrospektive Längsschnitt analyse. [Potentially inappropriate medication in elderly primary care patients: a retrospective, longitudinal analysis]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2013;56(7):941–949. [Article in German].
Hovstadius B, Petersson G, Hellström L, Ericson L. Trends in inappropriate drug therapy prescription in the elderly in Sweden from 2006 to 2013: assessment using national indicators. Drugs Aging. 2014;31(5):379–386.
Castelino RL, Bajorek BV, Chen TF. Targeting suboptimal prescribing in the elderly: a review of the impact of pharmacy services. Ann Pharmacother. 2009;43(6):1096–1106.
This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.Download Article [PDF]