Medications and cognitive risk in Aboriginal primary care: a cross‐sectional study

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 attendin...

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Veröffentlicht in:Internal medicine journal 2024-06, Vol.54 (6), p.897-908
Hauptverfasser: 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
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Sprache:eng
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Zusammenfassung: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.
ISSN:1444-0903
1445-5994
1445-5994
DOI:10.1111/imj.16323