To estimate the national prevalence of antidementia and psychotropic medication use, and sociodemographic factors associated with their use, in Australians living with dementia.
Retrospective cross-sectional study.
Nationwide data linkage study using 2021 Census and Pharmaceutical Benefits Scheme (PBS) data. All people aged 65 or older with dementia (self-reported in the Census or dispensed an antidementia drug subsidized by the PBS) were included.
Medication use was defined as at least 1 dispensing during the 3-month period following the Census (August–October 2021). Prevalence of antidementia and psychotropic medication use, including antipsychotics, benzodiazepines and Z-drugs, antiepileptics, opioids, and psychostimulants, was calculated. Sociodemographic factors associated with medication use were explored using multivariable logistic regression models.
Of the 177,809 older people living with dementia included, 58.6% were using at least 1 psychotropic medication. Antidepressants were the most commonly used psychotropics (41%), followed by opioids (20%) and antipsychotics (13%). Antidementia medications were used by a quarter of people with dementia (26%).
People with dementia living in the highest socioeconomic area were more likely to use antidementia medications [adjusted odds ratio (OR), 1.22; 95% CI, 1.17–1.28] and less likely to use psychotropics (OR, 0.91; 95% CI, 0.88–0.95) compared with people living in the lowest socioeconomic area. Conversely, those living in inner regional areas were more likely to use psychotropics (OR, 1.06; 95% CI, 1.03–1.10) and less likely to use antidementia medications (OR, 0.79; 95% CI, 0.77–0.82) compared with people living in metropolitan areas.
Psychotropics were commonly used in people with dementia in Australia. Disparities in access to health care due to socioeconomic status or remoteness may have influenced the use of antidementia and psychotropic medications. Further strategies to allow more equitable access to resources and medications are needed.
Dose exposure is considered relevant for drug-associated falls in older adults, pointing to an importance of drug metabolism. Aim was to analyze individual factors altering drug metabolism such as enzyme saturation by drug exposure and pharmacogenetics in the context of drug-associated falls.
Prospective population-based study (ActiFE-Ulm study).
Community-dwelling older adults.
Focus was laid on the metabolism by polymorphic cytochrome P450 (CYP) enzymes CYP2C19, 2C9, and 2D6. Relevant variants of pharmacogenes were analyzed. Logistic binary regression analysis was used to calculate odds ratios (ORs) and 95% CIs for falls observed prospectively over a 1-year period with drug metabolism characteristics.
In total, 1377 participants were included in the analysis. Although the phenotype predicted by the genotype was not, the use of drugs metabolized by CYP2C19 was associated with falls. Drugs not known as fall risk–increasing drugs (FRIDs; ie, non-FRIDs), but metabolized by CYP2C19, showed an OR of 1.46 (1.11-1.93) in adjusted analysis. Significant effect modification was observed for a reduced CYP2C19 activity phenotype with non-FRIDs metabolized by CYP2C19.
This study suggests an association between the occurrence of falls in older adults and the metabolic capacity of CYP2C19. Thus, an important step toward prevention of falls might be to personalize dosage and treatment length of the main drug classes known to be CYP2C19 substrates, such as many antidepressants, opioids, and sedatives, but also proton pump inhibitors in particular in poor and intermediate metabolizers.
Recently, a Complexity Index (CI), based on the multidimensional complexity model and derived from the Resident Assessment Instrument for Home Care (interRAI HC) was proposed as a decision-support tool to help frontline health care professionals in their clinical evaluation to identify and analyze complex situations. This study aims to test the CI: (1) concurrent validity with another measure of complexity (ie, the COMID), (2) convergent validity with related constructs assessed by interRAI HC scales (eg, depression), (3) divergent validity (comparison between CI-COMID and scales-COMID correlations), and (4) predictive validity on coordination meetings.
A cross-sectional observational design was used for a secondary analysis of interRAI HC and COMID data collected in routine home care nursing practice (July-December 2021).
Participants were community-dwelling adults receiving home care, with full interRAI HC and COMID assessments (N = 3533).
Correlational analyses were conducted to test the concurrent validity of the CI (with the COMID) and the convergent and divergent validity of the CI (with interRAI HCSwitzerland scales, eg, Depression Rating Scale, Method for Assigning Priority Levels, and a Frailty Index). A receiver operating characteristic (ROC) analysis was conducted to test the discriminative ability of CI on specific professional team coordination meetings.
Results showed that the CI correlated positively and strongly with the COMID (ρ = 0.691, P < .001, concurrent validity), positively with all the tested scales (P < .001, convergent validity), whereas the CI-COMID correlation was higher than the interRAI HC scales–COMID correlations (divergent validity). The ROC analysis showed the CI had a high area under the curve (AUC = 0.719, predictive validity).
The CI demonstrates good validity properties with a strong correlation with the COMID and a high predictive value for coordination meeting. It is distinct from the other interRAI HC scales and has its place among them to support the clinical analysis of complex situations.
Nursing homes struggle with safety issues, despite decades of intervention. This may, in part, stem from a reliance on a historical perspective that views safety as an intrinsic part of well-designed systems, with errors resulting from knowable, fixable causes. A new perspective (Resilient Health Care) assumes, instead, that in complex systems such as nursing homes, uncertainties and trade-offs occur in the course of everyday work. In this view, Resilient Health Care performance requires adapting to changes at different system levels to maintain high-quality care. An evidence-based program known as LOCK offers nursing homes a practical method for operationalizing a Resilient Health Care perspective. The LOCK program provides structures and processes that support frontline staff to successfully and safely navigate the complex interactions and factors that affect their daily provision of care.