Potentially Inappropriate Medications in Older Adults—Prevalence, Trends and Associated Factors: A Cross-Sectional Study in Saudi Arabia

Author:

Jabri Fouad F.12,Liang Yajun2ORCID,Alhawassi Tariq M.34,Johnell Kristina5,Möller Jette2ORCID

Affiliation:

1. Department of Biostatistics, Epidemiology and Public Health, College of Medicine, Alfaisal University, P.O. Box 50927, Riyadh 11533, Saudi Arabia

2. Department of Global Public Health, Karolinska Institutet, K9 Global Folkhälsa, K9 GPH, 171 77 Stockholm, Sweden

3. Department of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia

4. Medication Safety Research Chair, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia

5. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, C8 Medicinsk Epidemiologi och Biostatistik, 171 77 Stockholm, Sweden

Abstract

(1) Background: Potentially inappropriate medications (PIMs) in older adults are associated with drug-related problems, adverse health consequences, repeated hospital admissions and a higher risk of mortality. In Saudi Arabia and some Arab countries, studies of PIMs among large cohorts of older adults are limited. This study aimed to determine the prevalence of PIMs, trends and associated factors among outpatient older adults in Saudi Arabia. (2) Methods: A cross-sectional study was carried out. Over three years (2017–2019), data on 23,417 people (≥65 years) were retrieved from outpatient clinics in a tertiary hospital in Riyadh, Saudi Arabia. PIMs were assessed using the 2019 Beers Criteria. Covariates included sex, age, nationality, number of dispensed medications, and number of diagnoses. A generalized estimating equation model was used to assess trends and factors associated with PIMs. (3) Results: The prevalence of PIMs was high and varied between 57.2% and 63.6% over the study years. Compared with 2017, the prevalence of PIMs increased significantly, with adjusted odds ratios (OR) (95% confidence interval (95% CI)) of 1.23 (1.18–1.29) and 1.15 (1.10–1.21) for 2018 and 2019, respectively. Factors associated with being prescribed PIMs included ≥5 dispensed medications (OR_adjusted = 23.91, 95% CI = 21.47–26.64) and ≥5 diagnoses (OR_adjusted = 3.20, 95% CI = 2.88–3.56). Compared with females, males had a lower risk of being prescribed PIMs (OR_adjusted = 0.90, 95% CI = 0.85–0.94); (4) Conclusions: PIMs were common with an increasing trend among older adults in Saudi Arabia. A higher number of dispensed medications, increased number of diagnoses and female sex were associated with being prescribed PIMs. Recommendations on how to optimize prescriptions and implement de-prescribing strategies are urgently needed.

Funder

Vice Deanship of Research Chairs, King Saud University

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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