Internal medicine journal · 2023
Medications and cognitive risk in Aboriginal primary care: a cross-sectional study.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Holdaway Marycarol, Hyde Zoë, Hughson Jo-Anne, Malay Roslyn, Stafford Andrew, Fulford Kate, Radford Kylie, Flicker Leon, Smith Kate, Pond Dimity, Russell Sarah, Atkinson David, Blackberry Irene, LoGiudice Dina
Аннотация
BACKGROUND: Aboriginal and Torres Strait Islander people are ageing with high rates of comorbidity, yet little is known about suboptimal prescribing in this population.
AIM: The prevalence of potentially suboptimal prescribing and associated risk factors were investigated among older patients attending primary care through Aboriginal Community Controlled Health Services (ACCHSs).
METHODS: Medical records of 420 systematically selected patients aged ≥50 years attending urban, rural and remote health services were audited. Polypharmacy (≥ 5 prescribed medications), potentially inappropriate medications (PIMs) as per Beers Criteria and anticholinergic burden (ACB) were estimated and associated risk factors were explored with logistic regression.
RESULTS: The prevalence of polypharmacy, PIMs and ACB score ≥3 was 43%, 18% and 12% respectively. In multivariable logistic regression analyses, polypharmacy was less likely in rural (odds ratio (OR) = 0.43, 95% confidence interval (CI) = 0.24-0.77) compared to urban patients, and more likely in those with heart disease (OR = 2.62, 95% CI = 1.62-4.25), atrial fibrillation (OR = 4.25, 95% CI = 1.08-16.81), hypertension (OR = 2.14, 95% CI = 1.34-3.44), diabetes (OR = 2.72, 95% CI = 1.69-4.39) or depression (OR = 1.91, 95% CI = 1.19-3.06). PIMs were more frequent in females (OR = 1.88, 95% CI = 1.03-3.42) and less frequent in rural (OR = 0.41, 95% CI = 0.19-0.85) and remote (OR = 0.58, 95% CI = 0.29-1.18) patients. Factors associated with PIMs were kidney disease (OR = 2.60, 95% CI = 1.37-4.92), urinary incontinence (OR = 3.00, 95% CI = 1.02-8.83), depression (OR = 2.67, 95% CI = 1.50-4.77), heavy alcohol use (OR = 2.83, 95% CI = 1.39-5.75) and subjective cognitive concerns (OR = 2.69, 95% CI = 1.31-5.52). High ACB was less common in rural (OR = 0.10, 95% CI = 0.03-0.34) and remote (OR = 0.51, 95% CI = 0.25-1.04) patients and more common in those with kidney disease (OR = 3.07, 95% CI = 1.50-6.30) or depression (OR = 3.32, 95% CI = 1.70-6.47).
CONCLUSION: Associations between potentially suboptimal prescribing and depression or cognitive concerns highlight the importance of considering medication review and deprescribing for these patients.
AIM: The prevalence of potentially suboptimal prescribing and associated risk factors were investigated among older patients attending primary care through Aboriginal Community Controlled Health Services (ACCHSs).
METHODS: Medical records of 420 systematically selected patients aged ≥50 years attending urban, rural and remote health services were audited. Polypharmacy (≥ 5 prescribed medications), potentially inappropriate medications (PIMs) as per Beers Criteria and anticholinergic burden (ACB) were estimated and associated risk factors were explored with logistic regression.
RESULTS: The prevalence of polypharmacy, PIMs and ACB score ≥3 was 43%, 18% and 12% respectively. In multivariable logistic regression analyses, polypharmacy was less likely in rural (odds ratio (OR) = 0.43, 95% confidence interval (CI) = 0.24-0.77) compared to urban patients, and more likely in those with heart disease (OR = 2.62, 95% CI = 1.62-4.25), atrial fibrillation (OR = 4.25, 95% CI = 1.08-16.81), hypertension (OR = 2.14, 95% CI = 1.34-3.44), diabetes (OR = 2.72, 95% CI = 1.69-4.39) or depression (OR = 1.91, 95% CI = 1.19-3.06). PIMs were more frequent in females (OR = 1.88, 95% CI = 1.03-3.42) and less frequent in rural (OR = 0.41, 95% CI = 0.19-0.85) and remote (OR = 0.58, 95% CI = 0.29-1.18) patients. Factors associated with PIMs were kidney disease (OR = 2.60, 95% CI = 1.37-4.92), urinary incontinence (OR = 3.00, 95% CI = 1.02-8.83), depression (OR = 2.67, 95% CI = 1.50-4.77), heavy alcohol use (OR = 2.83, 95% CI = 1.39-5.75) and subjective cognitive concerns (OR = 2.69, 95% CI = 1.31-5.52). High ACB was less common in rural (OR = 0.10, 95% CI = 0.03-0.34) and remote (OR = 0.51, 95% CI = 0.25-1.04) patients and more common in those with kidney disease (OR = 3.07, 95% CI = 1.50-6.30) or depression (OR = 3.32, 95% CI = 1.70-6.47).
CONCLUSION: Associations between potentially suboptimal prescribing and depression or cognitive concerns highlight the importance of considering medication review and deprescribing for these patients.