ABSTRACT
Aims of the Study: To evaluate medication adherence level and identify predictors of poor medication adherence in elderly patients with Cardiovascular (CVS) diseases and type 2 diabetes in Jordan. Methods: This cross-sectional study was conducted on elderly patients who attended King Abdullah University Hospital (KAUH) outpatient diabetes and cardiology clinics from March 6, 2023, to July 6, 2023. Data on age, sex, socio-demographics, biological variables, medication characteristics, and chronic comorbidities were obtained from electronic patients' medical records and a validated questionnaire. Medication adherence levels (low, moderate, and high) were assessed using the Arabic version of the 4-item Morisky, Green, and Levine Medication Adherence Scale-Medication Assessment Questionnaire. Results: Data from 506 elderly patients were analyzed. The average age of the participants was 67.93 years (SD = 6.22). 7.9% of patients showed low adherence levels, 33.6% showed moderate adherence level, and 58.5% of patients showed a high level of adherence toward their prescribed medications. Multivariable ordinal logistic regression analysis revealed that single/currently unmarried patients and patients who were living with others were more likely to have a higher adherence level; Odd Ratios (ORs) were 4.75 and 4.10, respectively. Patients who took their medications ≥ 3 and 2 times a day showed higher adherence to their medications than those who only took them once a day.; ORs were 2.15 and 2.36, respectively. Conclusion: This study indicated an inadequate level of adherence among patients with type 2 diabetes and cardiovascular comorbidities. This study revealed the necessity of implementing programs to help in raising the awareness among elderly patients with type 2 diabetes and CVDs of the importance of adherence to prescribed long-term medication regimens.
ABSTRACT
Background: Geriatric cancer patients are susceptible to adverse drug events due to the complexity of their chemotherapy regimens and collateral treatments for their comorbid conditions. Prescribing medications with anticholinergic burden characteristics can complicate their condition, leading to negative impacts on their health outcomes and quality of life, including an increase in adverse drug event frequency, physical and cognitive impairments. Objective: This study aims to examine the prevalence of anticholinergic prescribing and identify the cumulative anticholinergic load risk associated with drugs prescribed to elderly cancer patients. Also, to identify the predictors that might lead to raised anticholinergic burden in these patients. Methodology: This retrospective cross-sectional study included elderly patients (age ≥ 65) diagnosed with cancer and admitted to the adult oncology unit at King Abdullah University Hospital (KAUH) in Jordan during the period between (January 1st, 2019, and January 1st, 2022). The medication charts of 420 patients were evaluated for study outcomes. Results: Of the total subjects, females represented 49.3%, and the average age was 72.95 (SD = 7.33). A total of 354 (84.3%) patients were prescribed at least one drug carrying anticholinergic burden properties. Median for anticholinergic medications was 3 (IQR = 4). Our study found that 194 (46.2%) patients were at a high risk of adverse events associated with anticholinergic load (cumulative score ≥ 3). Metoclopramide, furosemide, and tramadol were the most frequently prescribed drugs with anticholinergic properties. Alimentary tract drugs with anticholinergic action were the most commonly encountered items in our study population. Conclusion: Our study revealed a significantly high prevalence of anticholinergic prescribing among elderly cancer patients. Nearly half of the patients were at high risk of developing serious effects related to anticholinergic activity from the drugs administered. Polypharmacy was strongly associated with increased anticholinergic burden score. Evidence-based recommendations utilizing prescribing strategies for safer alternatives and deprescribing of inappropriate medications could reduce such inappropriate prescribing.
