Potentially Inappropriate Medication Use Among Older Adults with Cognitive Impairment and Dementia Attending Primary Care-Based Memory Clinics †
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design and Study Setting
2.2. Study Population
2.3. Study Procedures
2.3.1. Screening and Recruitment
2.3.2. Data Collection
2.3.3. Evaluation of Potentially Inappropriate Medication Use
2.4. Statistical Analysis
3. Results
3.1. Medication Use
3.2. PIMs
3.2.1. PIMs Identified Using Beers Criteria® 2023
3.2.2. PIMs Identified Using STOPP Criteria 2023
3.3. Factors Associated with PIMs as per Beer’s Criteria® and STOPP Criteria
4. Discussion
Strength and Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Hanjani, L.S.; Long, D.; Peel, N.M.; Peeters, G.; Freeman, C.R.; Hubbard, R.E. Interventions to optimise prescribing in older people with dementia: A systematic review. Drugs Aging 2019, 36, 247–267. [Google Scholar] [CrossRef] [PubMed]
- Langa, K.M. Cognitive aging, dementia, and the future of an aging population. In Future Directions for the Demography of Aging: Proceedings of a Workshop; National Academies Press: Washington, DC, USA, 2018; pp. 249–268. [Google Scholar]
- Canadian Institute for Health Information. Dementia in Canada: Summary. Available online: https://www.cihi.ca/en/dementia-in-canada/dementia-in-canada-summary (accessed on 3 December 2024).
- Government of Canada. Dementia in Canada, Including Alzheimer’s Disease. Available online: https://www.canada.ca/en/public-health/services/publications/diseases-conditions/dementia-highlights-canadian-chronic-disease-surveillance.html (accessed on 3 December 2024).
- Alzheimer Society Canada. Dementia Numbers in Canada. Available online: https://alzheimer.ca/en/about-dementia/what-dementia/dementia-numbers-canada (accessed on 3 December 2024).
- Liang, C.S.; Li, D.J.; Yang, F.C.; Tseng, P.T.; Carvalho, A.F.; Stubbs, B.; Thompson, T.; Mueller, C.; Shin, J.I.; Radua, J.; et al. Mortality rates in Alzheimer’s disease and non-Alzheimer’s dementias: A systematic review and meta-analysis. Lancet Healthy Longev. 2021, 28, e479–e488. [Google Scholar] [CrossRef]
- Alzheimer Society Canada. Prevalence and Monetary Costs of Dementia in Canada. Dementia Stats–Alzheimer Society of Manitoba. Available online: https://www.canada.ca/en/public-health/services/reports-publications/health-promotion-chronic-disease-prevention-canada-research-policy-practice/vol-36-no-10-2016/report-summary-prevalence-monetary-costs-dementia-canada-2016-report-alzheimer-society-canada.html. (accessed on 3 December 2024).
- Clague, F.; Mercer, S.W.; McLean, G.; Reynish, E.; Guthrie, B. Comorbidity and polypharmacy in people with dementia: Insights from a large, population-based cross-sectional analysis of primary care data. Age Ageing 2017, 46, 33–39. [Google Scholar] [CrossRef]
- National Institute for Health and Care Excellence. Dementia: Assessment, Management and Support for People Living with Dementia and Their Carers. Available online: https://www.nice.org.uk/guidance/ng97/chapter/recommendations#cognitive-training (accessed on 3 December 2024).
- Hill, J.W.; Futterman, R.; Duttagupta, S.; Mastey, V.; Lloyd, J.R.; Fillit, H. Alzheimer’s disease and related dementias increase costs of comorbidities in managed Medicare. Neurology 2002, 58, 62–70. [Google Scholar] [CrossRef] [PubMed]
- Growdon, M.E.; Gan, S.; Yaffe, K.; Steinman, M.A. Polypharmacy among older adults with dementia compared with those without dementia in the United States. J. Am. Geriatr. Soc. 2021, 69, 2464–2475. [Google Scholar] [CrossRef] [PubMed]
- Lau, D.T.; Mercaldo, N.D.; Harris, A.T.; Trittschuh, E.; Shega, J.; Weintraub, S. Polypharmacy and potentially inappropriate medication use among community dwelling elders with dementia. Alzheimer Dis. Assoc. Disord. 2010, 24, 56. [Google Scholar] [CrossRef]
- Patel, T.; Slonim, K.; Lee, L. Use of potentially inappropriate medications among ambulatory home-dwelling elderly patients with dementia: A review of the 174 literature. Can. Pharm. J./Rev. Pharm. Can. 2017, 150, 169–183. [Google Scholar] [CrossRef]
- Krustev, T.; Milushewa, P.; Tachkov, K. Impact of Polypharmacy, Drug-Related Problems, and Potentially Inappropriate Medications in Geriatric Patients and Its Implications for Bulgaria—Narrative Review and Meta-Analysis. Public Health Front. 2022, 10, 743138. [Google Scholar] [CrossRef]
- Shah, B.M.; Hajjar, E.R. Polypharmacy, adverse drug reactions, and geriatric syndromes. Clin. Geriatr. Med. 2012, 28, 173–186. [Google Scholar] [CrossRef]
- Nordin, O.I.; Runnamo, R.; Engfeldt, P. Medication quality and quality of life in the elderly, a cohort study. Health Qual. Life Outcomes 2011, 9, 95. [Google Scholar] [CrossRef]
- Johnell, K. Inappropriate drug use in people with cognitive impairment and dementia: A systematic review. Curr. Clin. Pharmacol. 2015, 10, 178–184. [Google Scholar] [CrossRef]
- Redston, M.R.; Hilmer, S.N.; McLachlan, A.J.; Clough, A.J.; Gnjidic, D. Prevalence of potentially inappropriate medication use in older inpatients with and without cognitive impairment: A systematic review. J. Alzheimer’s Dis. 2018, 61, 1639–1652. [Google Scholar] [CrossRef] [PubMed]
- Roux, B.; Sirois, C.; Simard, M.; Gagnon, M.E.; Laroche, M.L. One-year persistence of potentially inappropriate medication use in older adults: A population-based study. Br. J. Clin. Pharmacol. 2020, 86, 1062–1080. [Google Scholar] [CrossRef] [PubMed]
- Kaufmann, C.P.; Tremp, R.; Hersberger, K.E.; Lampert, M.L. Inappropriate prescribing: A systematic overview of published assessment tools. Eur. J. Clin. Pharmacol. 2014, 70, 1–11. [Google Scholar] [CrossRef]
- Motter, F.R.; Fritzen, J.S.; Hilmer, S.N.; Paniz, É.V.; Paniz, V.M. Potentially inappropriate medication in the elderly: A systematic review of validated explicit criteria. Eur. J. Clin. Pharmacol. 2018, 74, 679–700. [Google Scholar] [CrossRef] [PubMed]
- Kelly, C. Memory clinics. Psychiatry 2008, 7, 61–63. [Google Scholar] [CrossRef]
- Verhey, F.R.; Orrell, M.; Zarit, S. Memory services and memory clinics. Aging Ment. Health 2011, 15, 2–4. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization Collaborating Centre for Drug Statistics Methodology. Anatomical Therapeutic Chemical Classification System. Available online: https://www.whocc.no/atc_ddd_index/ (accessed on 3 December 2024).
- Canadian Pharmacist Association. Calculations and Dosing Tools. 2009. Available online: https://www.pharmacists.ca/cpha-ca/assets/File/education-practice-resources/CalcAndDosing_EN_26Feb08.pdf (accessed on 3 December 2024).
- 2023 American Geriatrics Society Beers Criteria® Update Expert Panel. American Geriatrics Society 2023 updated AGS Beers Criteria® for potentially inappropriate medication use in older adults. J. Am. Geriatr. Soc. 2023, 71, 2052–2081. [Google Scholar] [CrossRef]
- O’Mahony, D.; Cherubini, A.; Guiteras, A.R.; Denkinger, M.; Beuscart, J.B.; Onder, G.; Gudmundsson, A.; Cruz-Jentoft, A.J.; Knol, W.; Bahat, G.; et al. STOPP/START criteria for potentially inappropriate prescribing in older people: Version 3. Eur. Geriatr. Med. 2023, 14, 625–632. [Google Scholar] [CrossRef]
- CorIP. IBM SPSS Statistics for Windows, Ver. 24.0; IBM Corp.: Armonk, NY, USA, 2016.
- StataCorp. Stata Statistical Software: Release 17, StataCorp LLC: College Station, TX, USA, 2023.
- Ruangritchankul, S.; Peel, N.M.; Hanjani, L.S.; Gray, L.C. Drug related problems in older adults living with dementia. PLoS ONE 2020, 15, e0236830. [Google Scholar] [CrossRef]
- Hill-Taylor, B.; Walsh, K.A.; Stewart, S.; Hayden, J.; Byrne, S.; Sketris, I.S. Effectiveness of the STOPP/START (Screening Tool of Older Persons’ potentially inappropriate Prescriptions/Screening Tool to Alert doctors to the Right Treatment) criteria: Systematic review and meta-analysis of randomized controlled studies. J. Clin. Pharm. Ther. 2016, 41, 158–169. [Google Scholar] [CrossRef] [PubMed]
- Egger, S.S.; Bachmann, A.; Hubmann, N.; Schlienger, R.G.; Krähenbühl, S. Prevalence of potentially inappropriate medication use in elderly patients: Comparison between general medical and geriatric wards. Drugs Aging 2006, 23, 823–837. [Google Scholar] [CrossRef]
- Sharma, R.; Gill, J.K.; Chhabra, M.; Carter, C.; Alkabbani, W.; Vidyasagar, K.; Chang, F.; Lee, L.; Patel, T. Prevalence of Potentially Inappropriate Medications in Older Adults with Cognitive Impairment or Dementia Attending Memory Clinics: A Systematic Review and Meta-Analysis. J. Alzheimer’s Dis. 2024, 101, 1107–1120. [Google Scholar] [CrossRef] [PubMed]
- Cross, A.J.; George, J.; Woodward, M.C.; Le, V.J.; Elliott, R.A. Deprescribing potentially inappropriate medications in memory clinic patients (DePIMM): A feasibility study. Res. Soc. Adm. Pharm. 2020, 16, 1392–1397. [Google Scholar] [CrossRef]
- Eriksson, J.W.; Bodegard, J.; Nathanson, D.; Thuresson, M.; Nyström, T.; Norhammar, A. Sulphonylurea compared to DPP-4 inhibitors in combination with metformin carries increased risk of severe hypoglycemia, cardiovascular events, and all-cause mortality. Diabetes Res. Clin. Pract. 2016, 117, 39–47. [Google Scholar] [CrossRef]
- Mantel-Teeuwisse, A.K.; Kloosterman, J.M.; van der Zee, A.H.; Klungel, O.H.; Porsius, A.J.; de Boer, A. Drug-induced lipid changes: A review of the unintended effects of some commonly used drugs on serum lipid levels. Drug Saf. 2001, 24, 443–456. [Google Scholar] [CrossRef] [PubMed]
- Gallagher, P.F.; O’connor, M.N.; O’mahony, D. Prevention of potentially inappropriate prescribing for elderly patients: A randomized controlled trial using STOPP/START criteria. Clin. Pharmacol. Ther. 2011, 89, 845–854. [Google Scholar] [CrossRef]
- Musich, S.; Wang, S.S.; Slindee, L.B.; Ruiz, J.; Yeh, C.S. Concurrent use of opioids with other central nervous system-active medications among older adults. Popul. Health Manag. 2020, 23, 286–296. [Google Scholar] [CrossRef]
Characteristics | Total (N = 44) n (%) | With PIMs as per Beers Criteria® (N = 21) n (%) | With PIMs as per STOPP Criteria (N = 12) n (%) |
---|---|---|---|
Age of the patient, mean ± SD | 80.2 ± 6.2 | 80.7 ± 5.6 | 83.5 ± 4.8 |
65–69 years | 2 (4.5) | 1 (4.8) | 0 (0) |
70–74 years | 5 (11.5) | 2 (9.5) | 0 (0) |
75–79 years | 13 (29.5) | 4 (19) | 2 (16.6) |
80–84 years | 13 (29.5) | 10 (47.7) | 5 (41.7) |
≥85 years | 11 (25) | 4 (19) | 5 (41.7) |
Sex | |||
Male | 24 (54.5) | 11 (52.3) | 4 (33.3) |
Female | 20 (45.5) | 10 (47.7) | 8 (66.7) |
Marital Status | |||
Married | 38 (86.4) | 20 (95.2) | 10 (83.3) |
Separated | 1 (2.2) | 0 (0) | 0 (0) |
Widowed | 5 (11.4) | 1 (4.8) | 2 (16.7) |
CI/dementia | |||
Vascular CI | 5 (11.4) | 4 (19) | 3 (25) |
Subjective cognitive decline | 4 (9.1) | 1 (4.7) | 0 (0) |
Evolving neurocognitive disorder | 3 (6.8) | 2 (9.5) | 2 (16.6) |
MCI | 16 (36.4) | 8 (38) | 3 (25) |
Mixed dementia | 9 (20.5) | 4 (19) | 1 (8.3) |
Dementia | 4 (9.1) | 2 (9.5) | 2 (16.6) |
Probable or possible Alzheimer’s disease | 3 (6.7) | 0 (0) | 1 (8.3) |
Comorbidities | |||
Number of comorbidities per person, mean ± SD | 6.7 ± 3.4 | 7.6 ± 3.0 | 8 ± 4.1 |
0 | 1 (2.3) | 0 (0) | 0 (0) |
1–5 | 16 (36.3) | 5 (23.8) | 3 (25) |
6–8 | 18 (41) | 9 (42.8) | 5 (41.6) |
≥9 | 9 (20.4) | 7 (33.4) | 4 (33.4) |
Alcohol | |||
Never | 20 (45.5) | 9 (42.8) | 6 (50) |
Occasional drinker | 11 (25) | 5 (23.8) | 3 (25) |
Active regular drinker | 13 (29.5) | 7 (33.4) | 3 (25) |
Smoking | |||
Never | 24 (54.5) | 14 (66.6) | 7 (58.4) |
Ex-smoker | 17 (38.7) | 6 (28.6) | 5 (41.6) |
Active smoker | 3 (6.8) | 1 (4.8) | 0 (0) |
Recent history of falls | |||
Absent | 21 (47.7) | 7 (33.3) | 4 (33.3) |
Present | 23 (52.3) | 14 (66.7) | 8 (66.7) |
Medication use | |||
Number of medications per person, median (IQR) | 7.5 (6) | 2 (1) | 2.5 (1) |
Medications per day | |||
1–4 | 6 (13.6) | 1 (4.7) | 0 (0) |
5–9 | 21 (47.7) | 10 (47.6) | 6 (50) |
≥10 | 17 (38.6) | 10 (47.6) | 6 (50) |
ATC classification | |||
G Genito urinary system and sex hormones | 16 (36.4) | 8 (38.0) | 3 (25) |
A Alimentary tract and metabolism | 32 (72.7) | 18 (85.7) | 11 (91.6) |
B Blood and blood forming organs | 34 (77.3) | 17 (80.9) | 11 (91.6) |
C Cardiovascular system | 36 (81.8) | 19 (90.4) | 12 (100) |
S Sensory organs | 4 (9.1) | 3 (14.2) | 2 (16.6) |
N Nervous system | 36 (81.8) | 20 (95.2) | 12 (100) |
L Antineoplastic and immunomodulating agents | 4 (9.1) | 2 (9.5) | 2 (16.6) |
H Systemic hormonal preparations | 7 (15.9) | 4 (19) | 3 (25) |
R Respiratory system | 9 (20.5) | 7 (33.3) | 3 (25) |
M Musculo-skeletal system | 8 (18.2) | 5 (23.8) | 3 (25) |
D Dermatologics | 7 (15.9) | 2 (9.5) | 1 (8.3) |
Characteristics | PIMs as per Beers Criteria® (N = 44) n (%) | PIMs as per STOPP (N = 44) n (%) |
---|---|---|
0 PIM | 23 (52.3) | 32 (72.7) |
1 PIM | 13 (29.5) | 6 (13.6) |
2 PIM | 2 (4.5) | 3 (6.8) |
3 PIM | 4 (9.1) | 2 (4.5) |
≥4 PIM | 2 (4.5) | 1 (2.3) |
Total number of PIMs (min–max) | 50 (0–6) | 31 (0–7) |
Average number of PIMs per patient, mean ± SD | 0.9 ± 1.3 | 0.6 ± 1.2 |
Median (IQR) | 0 (1) | 0 (1) |
Beers 2023 | STOPP 2023 | |||
---|---|---|---|---|
Characteristics | Odds Ratio (95% CIn) | p-Value | Odds Ratio (95% CIn) | p-Value |
Age | ||||
65–80 years | 1 (Reference) | 1 (Reference) | ||
>80 years | 2.52 (0.74–8.52) | 0.135 | 4.38 (0.99–19.35) | 0.051 |
Sex | ||||
Male | 1 (Reference) | 1 (Reference) | ||
Female | 1.18 (0.36–3.87) | 0.783 | 3.33 (0.82–13.48) | 0.091 |
Number of comorbidities | ||||
1–5 | 1 (Reference) | 1 (Reference) | ||
6–8 | 2.4 (0.39–9.67) | 0.218 | 1.79 (0.35–9.05) | 0.479 |
≥ 9 | 8.4 (1.27–55.39) | 0.027 | 3.73 (0.60–22.85) | 0.154 |
Number of medications per day * | 1.14 (0.99–1.32) | 0.064 | 1.09 (0.94–1.26) | 0.214 |
Recent history of falls | ||||
Absent | 1 (Reference) | 1 (Reference) | ||
Present | 3.11 (0.90–10.69) | 0.072 | 2.26 (0.56–9.06) | 0.247 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Sharma, R.; Lee, L.; Chang, F.; Patel, T. Potentially Inappropriate Medication Use Among Older Adults with Cognitive Impairment and Dementia Attending Primary Care-Based Memory Clinics. Pharmacy 2025, 13, 82. https://doi.org/10.3390/pharmacy13030082
Sharma R, Lee L, Chang F, Patel T. Potentially Inappropriate Medication Use Among Older Adults with Cognitive Impairment and Dementia Attending Primary Care-Based Memory Clinics. Pharmacy. 2025; 13(3):82. https://doi.org/10.3390/pharmacy13030082
Chicago/Turabian StyleSharma, Rishabh, Linda Lee, Feng Chang, and Tejal Patel. 2025. "Potentially Inappropriate Medication Use Among Older Adults with Cognitive Impairment and Dementia Attending Primary Care-Based Memory Clinics" Pharmacy 13, no. 3: 82. https://doi.org/10.3390/pharmacy13030082
APA StyleSharma, R., Lee, L., Chang, F., & Patel, T. (2025). Potentially Inappropriate Medication Use Among Older Adults with Cognitive Impairment and Dementia Attending Primary Care-Based Memory Clinics. Pharmacy, 13(3), 82. https://doi.org/10.3390/pharmacy13030082