Pain, Complex Chronic Conditions and Potential Inappropriate Medication in People with Dementia. Lessons Learnt for Pain Treatment Plans Utilizing Data from the Veteran Health Administration

Alzheimer’s disease and related dementias (ADRD), pain and chronic complex conditions (CCC) often co-occur leading to polypharmacy and with potential inappropriate medications (PIMs) use, are important risk factors for adverse drug reactions and hospitalizations in older adults. Many US veterans are at high risk for persistent pain due to age, injury or medical illness. Concerns about inadequate treatment of pain—accompanied by evidence about the analgesic efficacy of opioids—has led to an increase in the use of opioid medications to treat chronic pain in the Veterans Health Administration (VHA) and other healthcare systems. This study aims to investigate the relationship between receipt of pain medications and centrally (CNS) acting PIMs among veterans diagnosed with dementia, pain intensity, and CCC 90-days prior to hospitalization. The final analytic sample included 96,224 (81.7%) eligible older veterans from outpatient visits between October 2012–30 September 2013. We hypothesized that veterans with ADRD, and severe pain intensity may receive inappropriate pain management and CNS-acting PIMs. Seventy percent of the veterans, and especially people with ADRD, reported severe pain intensity. One in three veterans with ADRD and severe pain intensity have an increased likelihood for CNS-acting PIMs, and/or opioids. Regular assessment and re-assessment of pain among older persons with CCC, patient-centered tapering or discontinuation of opioids, alternatives to CNS-acting PIMs, and use of non-pharmacological approaches should be considered.publishedVersio

Ascertainment of self-reported prescription medication use compared with pharmaceutical claims data

Background: Evidence on the comparative validity of self-reported medication use in large-scale studies is limited. This study compared self-reported medication use of prescription-only medications to gold standard pharmaceutical claims (i.e. dispensing) data. Methods: We selected a random sample of 500 participants from the 45 and Up Study, a large-scale Australian study, with complete ascertainment of Pharmaceutical Benefits Scheme dispensing records. Self-reported medication use was ascertained by questionnaire requesting data on medications used “for most of the last 4 weeks”. In the dispensing data, we determined exposure to specific medications in the same 4-week window as the survey response if we observed a dispensing record =90 days before the start of the window. We calculated sensitivity and positive predictive values (PPVs) at the Anatomical Therapeutic Chemical (ATC) classification 3- and 7-digit code levels. Results: PPVs were =75% for 79% of the medications examined at the 3-digit ATC level. The sensitivity/PPV of self-reported versus claims data at the 3-digit level were highest for chronic medications, including cardiovascular medications: 94.4%/96.9%, respectively, for lipid-lowering agents; 92.5%/97.5% for angiotensin agents; 88.8%/93.1% for beta-blockers; and 88.0%/96.9% for calcium-channel blockers. PPVs were =65% and sensitivity of self-reported data was 78.9% for psychoanaleptics, 42.1% for analgesics, 26.0% for psycholeptics and 4.8% for antibacterial agents. PPVs for individual medications were =75% for 81% of the individual medications examined at the 7-digit level. The sensitivity/PPV for self-reported versus claims data at the 7-digit level varied across individual medications, with highest values being 96.9%/96.9% for warfarin, 94.5%/92.0% for atorvastatin, 94.3%/84.6% for pantoprazole and 93.3%/95.5% for atenolol. The lowest sensitivity of self-reported versus claims data for individual medications was 16.7% for temazepam, 15.2% for perindopril, 11.5% for irbesartan, 11.1% for oxazepam and 3.3% for amoxicillin. Conclusions: Self-reported data of the type reported here are useful for identifying exposure to prescription medications, particularly those for chronic use. However, they are likely to be of lesser validity for ascertaining short-term and/or intermittent medication exposure.DG is supported by an NHMRC Early Career Fellowship and EB is supported by an NHMRC Senior Research Fellowship

Caregivers’ experiences of medication management advice for people living with dementia at discharge

Acknowledgments: StepUp for Dementia Research, which is funded by the Australian Government Department of Health and implemented by a dedicated team at the University of Sydney. Journal of Evaluation in Clinical Practice Funding : The project and DG was supported by the Australian National Health and Medical Research Council Dementia Leadership Fellowship.Peer reviewedPostprin

A Comparison of Sex Differences in Psychotropic Medication Use in Older People with Alzheimer\u27s Disease in the US and Finland

Aims—Given the high prevalence of psychotropic medication use in people with dementia and the potential for different prescribing practices in men and women, our study aimed to investigate sex differences in psychotropic medication use in older adults with Alzheimer’s disease (AD) living in the US and Finland. Methods—We used data collected between 2005 and 2011 as part of the National Alzheimer’s Coordinating Center (NACC) in the US, and Medication use and Alzheimer’s disease (MEDALZ) cohorts in Finland. We evaluated psychotropic medication use (antidepressant, antipsychotic, anxiolytic, sedative, or hypnotic) in participants aged 65 years or older. We employed multivariable logistic regression adjusted for demographics, co-morbidities, and other medications to estimate the magnitude of the association (adjusted odds ratio [aOR] with 95% confidence intervals [CIs]) according to sex. Results—We included 1099 NACC participants (502 [45.68%] men, 597 [54.32%] women), and 67,049 participants from the MEDALZ cohort (22,961 [34.24%] men, 44,088 [65.75%] women). Women were more likely than men to use psychotropic medications: US, 46.2% vs. 33.1%, p \u3c 0.001; Finland, 45.3% vs. 36.1%, p \u3c 0.001; aOR was 2.06 (95% CI 1.58–2.70) in the US cohort and 1.38 (95% CI 1.33–1.43) in the Finnish cohort. Similarly, of the different psychotropic medications, women were more likely to use antidepressants (aOR-US: 2.16 [1.44–3.25], Finland: 1.52 [1.45–1.58]) and anxiolytics (aOR-US: 2.16 [1.83–3.96], Finland: 1.17 [1.13-1.23]) than men. Conclusion—Older women with AD are more likely to use psychotropic medications than older men, regardless of study population and country. Approaches to mitigate psychotropic medication use need to consider different prescribing habits observed in older women vs. men with AD

Long-term exposure to anticholinergic and sedative medications and cognitive and physical function in later life

Background: Anticholinergic and sedative medications are frequently prescribed to older individuals. These medications are associated with short-term cognitive and physical impairment, but less is known about long-term associations. We therefore examined over twenty years whether cumulative exposure to these medications was related to poorer cognitive and physical functioning. Methods: Older adult participants of the Longitudinal Aging Study Amsterdam (LASA) were followed from 1992-2012. On 7 measurement occasions, cumulative exposure to anticholinergic and sedative medications was quantified with the Drug Burden Index (DBI), a linear additive pharmacological dose-response model. Cognitive functioning was assessed with the Mini Mental State Examination (MMSE), Alphabet Coding Task (ACT, 3 trials), Auditory Verbal Learning Test (AVLT, learning and retention condition), and Raven Colored Progressive Matrices (RCPM, 2 trials). Physical functioning was assessed with the Walking Test (WT), Cardigan Test (CT), Chair Stands Test (CST), Balance Test (BT), and self-reported Functional Independence (FI). Data were analyzed with linear mixed models adjusted for age, education, sex, living with a partner, BMI, depressive symptoms, co-morbidities (cardiovascular disease, diabetes, cancer, COPD, osteoarthritis, CNS diseases), and prescribed medications. Results: Longitudinal associations were found of the DBI with poorer cognitive functioning (less items correct on the 3 ACT trials, AVLT learning condition, and the 2 RCPM trials) and with poorer physical functioning (longer completion time on the CT, CST, and lower self-reported FI). Conclusions: This longitudinal analysis of data collected over 20 years, showed that higher long-term cumulative exposure to anticholinergic and sedative medications was associated with poorer cognitive and physical functioning

Reducing inappropriate polypharmacy: the process of deprescribing

Inappropriate polypharmacy, especially in older people, imposes a substantial burden of adverse drug events, ill health, disability, hospitalization, and even death. The single most important predictor of inappropriate prescribing and risk of adverse drug events in older patients is the number of prescribed drugs. Deprescribing is the process of tapering or stopping drugs, aimed at minimizing polypharmacy and improving patient outcomes. Evidence of efficacy for deprescribing is emerging from randomized trials and observational studies. A deprescribing protocol is proposed comprising 5 steps: (1) ascertain all drugs the patient is currently taking and the reasons for each one; (2) consider overall risk of drug-induced harm in individual patients in determining the required intensity of deprescribing intervention; (3) assess each drug in regard to its current or future benefit potential compared with current or future harm or burden potential; (4) prioritize drugs for discontinuation that have the lowest benefit-harm ratio and lowest likelihood of adverse withdrawal reactions or disease rebound syndromes; and (5) implement a discontinuation regimen and monitor patients closely for improvement in outcomes or onset of adverse effects. Whereas patient and prescriber barriers to deprescribing exist, resources and strategies are available that facilitate deliberate yet judicious deprescribing and deserve wider application

Influence of drug safety advisories on drug utilisation: an international interrupted time series and meta-analysis

OBJECTIVE: To evaluate the association between regulatory drug safety advisories and changes in drug utilisation. DESIGN: We conducted controlled, interrupted times series analyses with administrative prescription claims data to estimate changes in drug utilisation following advisories. We used random-effects meta-analysis with inverse-variance weighting to estimate the average postadvisory change in drug utilisation across advisories. STUDY POPULATION: We included advisories issued in Canada, Denmark, the UK and the USA during 2009-2015, mainly concerning drugs in common use in primary care. We excluded advisories related to over-the-counter drugs, drug-drug interactions, vaccines, drugs used primarily in hospital and advisories with co-interventions within ±6 months. MAIN OUTCOME MEASURES: Change in drug utilisation, defined as actual versus predicted percentage change in the number of prescriptions (for advisories without dose-related advice), or in the number of defined daily doses (for dose-related advisories), per 100 000 population. RESULTS: Among advisories without dose-related advice (n=20), the average change in drug utilisation was -5.83% (95% CI -10.93 to -0.73; p=0.03). Advisories with dose-related advice (n=4) were not associated with a statistically significant change in drug utilisation (-1.93%; 95% CI -17.10 to 13.23; p=0.80). In a post hoc subgroup analysis of advisories without dose-related advice, we observed no statistically significant difference between the change in drug utilisation following advisories with explicit prescribing advice, such as a recommendation to consider the risk of a drug when prescribing, and the change in drug utilisation following advisories without such advice. CONCLUSIONS: Among safety advisories issued on a wide range of drugs during 2009-2015 in 4 countries (Canada, Denmark, the UK and the USA), the association of advisories with changes in drug utilisation was variable, and the average association was modest