Dataset Information

Anticholinergic and sedative drug burden in community-dwelling older people: a national database study.

ABSTRACT:

Objectives

The Drug Burden Index (DBI) tool quantifies individual exposure to anticholinergic and sedative medications. The DBI has been internationally validated against adverse health outcomes in older people. DBI exposure has not been reported in the Irish older population. This study aimed to: (1) develop a list of drugs with clinically significant anticholinergic and/or sedative effects (DBI medications) relevant to Ireland; (2) examine, using the DBI formula, the prevalence of exposure to DBI medications in Irish older people and (3) explore patient factors associated DBI exposure.

Design

A cross-sectional national pharmacy claims database study.

Setting

Community setting using the General Medical Services (GMS) scheme pharmacy claims database maintained by the Health Service Executive Primary Care Reimbursement Services.

Participants

Irish older individuals (aged ?65 years) enrolled in the GMS scheme and dispensed at least one prescription item in 2016 (n=428?516).

Main outcome measures

Prevalence of exposure to DBI medications and patient factors associated with DBI exposure.

Results

282?874 (66%) of the GMS population aged ?65 years were exposed to at least one DBI medication in 2016. Prevalence of exposure to DBI medications was significantly higher in females than males (females 71.6% vs males 58.7%, adjusted OR 1.65, 95%?CI 1.63 to 1.68). Prevalence of DBI exposure increased progressively with the number of chronic drugs used, rising from 42.7% of those prescribed 0-4 chronic drugs to 95.4% of those on ?12?chronic drugs (adjusted OR 27.8, 95%?CI 26.7 to 29.0). The most frequently used DBI medications were codeine/paracetamol combination products (20.1% of patients), tramadol (11.5%), zopiclone (9.5%), zolpidem (8.5%), pregabalin (7.9%) and alprazolam (7.8%).

Conclusions

The majority of older people in Ireland are exposed to medications with anticholinergic and/or sedative effects, particularly females and those with multiple comorbidities. The high use of low-dose codeine/paracetamol combination products, Z-drugs and benzodiazepines, suggests there are opportunities for deprescribing.

SUBMITTER: Byrne CJ

PROVIDER: S-EPMC6045724 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Anticholinergic and sedative drug burden in community-dwelling older people: a national database study.

Byrne Catherine J CJ Walsh Caroline C Cahir Caitriona C Ryan Cristín C Williams David J DJ Bennett Kathleen K

BMJ open 20180706 7

<h4>Objectives</h4>The Drug Burden Index (DBI) tool quantifies individual exposure to anticholinergic and sedative medications. The DBI has been internationally validated against adverse health outcomes in older people. DBI exposure has not been reported in the Irish older population. This study aimed to: (1) develop a list of drugs with clinically significant anticholinergic and/or sedative effects (DBI medications) relevant to Ireland; (2) examine, using the DBI formula, the prevalence of expo ...[more]

PMID: 29982221

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Project description:BackgroundOlder people with multimorbidity are often prescribed multiple medication treatments, leading to difficulties in self-managing their medications and negative experiences in medication use. The perceived burden arising from the process of undertaking medication self-management practices has been described as medication burden. Preliminary evidence has suggested that patients' demographic and clinical characteristics may impact their medication burden. Little is known regarding how psychosocial factors affect medication burden in older people with multimorbidity. The aim of this study was to identify psychosocial factors associated with medication burden among community-dwelling older people with multimorbidity.MethodsThis is a secondary analysis of a cross-sectional study. A total of 254 older people with three or more chronic conditions were included in the analysis. Participants were assessed for demographics, medication burden, psychosocial variables (depression, medication-related knowledge, beliefs, social support, self-efficacy, and satisfaction), disease burden, and polypharmacy. Medication burden was measured using items from the Treatment Burden Questionnaire. Univariate and multivariate linear regression models explored factors associated with medication burden.ResultsThe mean age of participants was 70.90 years. Participants had an average of 4.40 chronic conditions, and over one-third had polypharmacy. Multivariate analysis showed that the participants' satisfaction with medication treatments (β = -0.32, p < 0.001), disease burden (β = 0.25, p = 0.009), medication self-efficacy (β = -0.21, p < 0.001), polypharmacy (β = 0.15, p = 0.016), and depression (β = 0.14, p = 0.016) were independently associated with medication burden. Other factors, including demographic characteristics, medication knowledge, medication beliefs, medication social support, and the number or specific types of chronic conditions, were not independently associated with medication burden.ConclusionsPoor medication treatment satisfaction, great disease burden, low medication self-efficacy, polypharmacy, and depression may increase individuals' medication burden. Understanding psychosocial aspects associated with medication burden provides an important perspective for identifying older people who are overburdened by their medication treatments and offering individualised treatments to relieve their burden.

Project description:ObjectivesThe aims of our study were to examine the anticholinergic drug use and to assess the association between anticholinergic burden and cognitive function in the multimorbid elderly patients of the MultiCare cohort.SettingMultiCare was conducted as a longitudinal cohort study in primary care, located in eight different study centres in Germany.Participants3189 patients (59.3% female).Primary and secondary outcome measuresBaseline data were used for the following analyses. Drugs were classified according to the well-established anticholinergic drug scale (ADS) and the recently published German anticholinergic burden (German ACB). Cognitive function was measured using a letter digit substitution test (LDST) and a mixed-effect multivariate linear regression was performed to calculate the influence of anticholinergic burden on the cognitive function.ResultsPatients used 1764 anticholinergic drugs according to ADS and 2750 anticholinergics according to the German ACB score (prevalence 38.4% and 53.7%, respectively). The mean ADS score was 0.8 (±1.3), and the mean German ACB score was 1.2 (±1.6) per patient. The most common ADS anticholinergic was furosemide (5.8%) and the most common ACB anticholinergic was metformin (13.7%). The majority of the identified anticholinergics were drugs with low anticholinergic potential: 80.2% (ADS) and 73.4% (ACB), respectively. An increasing ADS and German ACB score was associated with reduced cognitive function according to the LDST (-0.26; p=0.008 and -0.24; p=0.003, respectively).ConclusionMultimorbid elderly patients are in a high risk for using anticholinergic drugs according to ADS and German ACB score. We especially need to gain greater awareness for the contribution of drugs with low anticholinergic potential from the cardiovascular system. As anticholinergic drug use is associated with reduced cognitive function in multimorbid elderly patients, the importance of rational prescribing and also deprescribing needs to be further evaluated.Trial registration numberISRCTN89818205.

Project description:BackgroundAnticholinergic/sedative medications are frequently used by older people, despite their negative impacts on cognitive and physical function. We explore the feasibility, acceptability and potential effectiveness of an innovative information technology (IT)-based intervention to prevent an increase in anticholinergic/sedative load in older people.MethodsThis was a prospective study in 51 Dutch community pharmacies. Pharmacists used an IT-based tool to identify patients aged ?65?years, with existing high anticholinergic/sedative loads (drug burden index ?2) and a newly initiated anticholinergic/sedative medication. We determined the following. Feasibility: number of eligible patients identified. Acceptability: pharmacists' satisfaction with the intervention, pharmacists' time investment and patients' willingness to reduce medication use. Potential effectiveness: number of recommendations, rate of agreement of general practitioners (GPs) with proposed recommendations and factors associated with agreement. To evaluate the latter, pharmacists conducted medication reviews and proposed recommendations to GPs for 5-10 patients selected by the IT-based tool.ResultsWe included 305 patients from 47 pharmacies. Feasibility: a mean of 17.0 (standard deviation, 8.8) patients were identified per pharmacy. Acceptability: 43 pharmacists (91.5%) were satisfied with the intervention. The median time investment per patient was 33?min (range 6.5-210). Of 35 patients, 30 (85.7%) were willing to reduce medication use. Potential effectiveness: pharmacists proposed 351 recommendations for 212 patients (69.5%). GPs agreed with recommendations for 108 patients (35.4%). Agreement to stop a medication was reached in 19.8% of recommendations for newly initiated medications (37 of 187) and for 15.2% of recommendations for existing medications (25 of 164). Agreement was more likely for recommendations on codeine [odds ratio (OR) 3.30; 95% confidence interval (CI) 1.14-9.57] or medications initiated by a specialist (OR 2.85; 95% CI 1.19-6.84) and less likely for pharmacies with lower level of collaboration with GPs (OR 0.15; 95% CI 0.02-0.97).ConclusionThis innovative IT-based intervention was feasible, acceptable and potentially effective. In one-third of patients an increase in anticholinergic/sedative load was prevented within reasonable time investment.

Project description:BackgroundPatients taking medication with high anticholinergic and sedative properties are at increased risk of experiencing poor cognitive and physical outcomes. Therefore, precise quantification of the cumulative burden of their drug regimen is advisable. There is no agreement regarding which scale to use to simultaneously quantify the burden associated with medications.ObjectivesThe objective of this review was to assess the strengths and limitations of available tools to quantify medication-related anticholinergic burden and sedative load in older adults. We discuss specific limitations and agreements between currently available scales and models and propose a comprehensive table combining drugs categorized as high, moderate, low, or no anticholinergic or sedative activity as excerpted from the selected studies.MethodsA targeted search was carried out using the National Library of Medicine through PubMed using medical subject heading terms and text words around the following search terms: (anticholinergic OR sedative) AND (load OR burden OR scale) for studies published between 1 January 1945 and 5 June 2021. In addition, the following databases were searched using the same terms: MEDLINE-EBSCO, APA PsycInfo, CINAHL Plus, Cochrane Library, Scopus, OAIster, OVID-MEDLINE, Web of Science, and Google Scholar. Screening by titles was followed by an abstract and full-text review. After blind evaluation, agreement between reviewers was reached to establish drug characteristics and categories.ResultsAfter 3163 articles were identified, 13 were included: 11 assigned risk scores to anticholinergic drugs and two to sedative drugs. Considerable variability between anticholinergic scales was observed; scales included between 27 and 548 drugs. We generated a comprehensive table combining the anticholinergic and sedative activities of drugs evaluated and proposed a categorization of these drugs based on available scientific and clinical evidence. Our table combines information about 642 drugs and categorizes 44, 25, 99, and 474 drugs as high, moderate, low, or no anticholinergic and sedative activity, respectively.ConclusionsVariability and inconsistency exists among scales used to categorize drugs with anticholinergic or sedative burden. In this review, we provide a comprehensive table that proposes a new categorization of these drugs. A longitudinal study will be required to validate the new proposed anticholinergic and sedative burden catalog in an evidence-based manner.

Project description:BackgroundOur aim in this research was to establish whether integrating an electronically generated calculation and report on the Drug Burden Index (DBI) in the Home Medicines Review (HMR) setting is an accurate, feasible and useful risk assessment tool to assess risk of anticholinergic and sedative medications; and to establish whether the intervention of DBI together with HMR is associated with a reduced use of anticholinergic and sedative medications in older community-dwelling adults in Australia.MethodsAn interventional feasibility study was conducted. Accredited clinical pharmacists (APs) were recruited to participate. Each AP was educated on implementation of the DBI into HMR practice and given access to the DBI Calculator© web-based software to generate the DBI report for inclusion in HMR reports for general practitioners (GPs). APs recruited patients (?65 years) who were referred to them for HMRs. Patients were sent a letter about their DBI exposure, and a prompt to visit their GP to discuss their medication management options. GPs, APs and patients were asked to evaluate the feasibility and utility of the DBI report. A medication inventory was collected from patients at the time of the HMR and at 3 months to determine whether the intervention affected deprescribing of medications with anticholinergic and sedative effects.ResultsRegarding the feasibility of the DBI report as a risk assessment tool within HMR, 89% of APs and 67% of GPs agreed that it would be feasible. The DBI Calculator© was potentially inaccurate, as 26% of DBI scores were underestimated and 7% were overestimated (at baseline). At 3 months, the median (interquartile range) DBI for patients (n = 100) significantly decreased from 0.82 (0-1.33) to 0.67 (0-1.29) (p = 0.014). Additionally, of patients with a DBI > 0 (n = 66), 36.4% had their DBI score decrease, and 6.1% had a score increase.ConclusionThis study demonstrated that integration of the DBI Calculator© into HMR is a feasible and useful method to prompt deprescribing of anticholinergic and sedative medications in older adults. There is potential for the accuracy of the web-based platform to be improved.Registration of trialName: Feasibility study of the Drug Burden Index with Home Medicines Review.Website: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368523Trial ID: ACTRN 12615000539538.

Dataset Information

Anticholinergic and sedative drug burden in community-dwelling older people: a national database study.

Objectives

Design

Setting

Participants

Main outcome measures

Results

Conclusions

Publications

Anticholinergic and sedative drug burden in community-dwelling older people: a national database study.

Similar Datasets

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