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 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.

Predictive factors for entry to long-term residential care in octogenarian Maori and non-Maori in New Zealand, LiLACS NZ cohort.

BACKGROUND: Long-term residential care (LTC) supports the most vulnerable and is increasingly relevant with demographic ageing. This study aims to describe entry to LTC and identify predictive factors for older Maori (indigenous people of New Zealand) and non-Maori. METHODS: LiLACS-NZ cohort project recruited Maori and non-Maori octogenarians resident in a defined geographical area in 2010. This study used multivariable log-binomial regressions to assess factors associated with subsequent entry to LTC including: self-identified ethnicity, demographic characteristics, self-rated health, depressive symptoms and activities of daily living [ADL] as recorded at baseline. LTC entry was identified from: place of residence at LiLACS-NZ interviews, LTC subsidy, needs assessment conducted in LTC, hospital discharge to LTC, and place of death. RESULTS: Of 937 surveyed at baseline (421 Maori, 516 non-Maori), 77 already in LTC were excluded, leaving 860 participants (mean age 82.6 +/- 2.71 years Maori, 84.6 +/- 0.52 years non-Maori). Over a mean follow-up of 4.9 years, 278 (41% of non-Maori, 22% of Maori) entered LTC; of the 582 who did not, 323 (55%) were still living and may yet enter LTC. In a model including both Maori and non-Maori, independent risks factors for LTC entry were: living alone (RR = 1.52, 95%CI:1.15-2.02), self-rated health poor/fair compared to very good/excellent (RR = 1.40, 95%CI:1.12-1.77), depressive symptoms (RR = 1.28, 95%CI:1.05-1.56) and more dependent ADLs (RR = 1.09, 95%CI:1.05-1.13). For non-Maori compared to Maori the RR was 1.77 (95%CI:1.39-2.23). In a Maori-only model, predictive factors were older age and living alone. For non-Maori, factors were dependence in more ADLs and poor/fair self-rated health. CONCLUSIONS: Non-Maori participants (predominantly European) entered LTC at almost twice the rate of Maori. Factors differed between Maori and non-Maori. Potentially, the needs, preferences, expectations and/or values may differ correspondingly. Research with different cultural/ethnic groups is required to determine how these differences should inform service development.