scholarly journals Adverse Drug Events After Hospital Discharge in Older Adults: Types, Severity, and Involvement of Beers Criteria Medications

2013 ◽  
Vol 61 (11) ◽  
pp. 1894-1899 ◽  
Author(s):  
Abir O. Kanaan ◽  
Jennifer L. Donovan ◽  
Nerissa P. Duchin ◽  
Terry S. Field ◽  
Jennifer Tjia ◽  
...  
Author(s):  
Shoshana J. Herzig ◽  
Timothy S. Anderson ◽  
Yoojin Jung ◽  
Long H. Ngo ◽  
Ellen P. McCarthy

2014 ◽  
Vol 4 (4) ◽  
pp. 166-169 ◽  
Author(s):  
Nicole J. Brandt ◽  
Traci Turner

In 2012, the American Geriatrics Society (AGS), along with a panel of 11 experts, updated the Beers Criteria which has evolved significantly since its inception in 1991. The Beers Criteria, in general, classifies medications/medication classes as: (1) potentially inappropriate for use in all older adults, (2) potentially inappropriate for older adults with certain diseases or symptoms and (3) requiring extra caution when used in older adults. Although each patient must be evaluated individually, the Beers Criteria is a useful clinical tool that can be used when initiating pharmacologic agents in both ambulatory and institutionalized patients. The concept behind use of the Beers Criteria is that it allows prescribers to readily identify, and avoid, medications associated with negative outcomes in older adults therefore decreasing the risk of adverse drug events (ADEs). Within this review article, there will be a highlight of potentially inappropriate medications (PIMs) commonly seen in clinical practice settings such as antipsychotics, benzodiazepines, non-benzodiazepine sedative-hypnotics, anticholinergics and sliding scale insulin. The focus will be to outline the risk-benefits of these drug classes within the context of persons with dementia. Furthermore, the use of PIMs has both clinical and financial implications in Medicare Star ratings and Healthcare Effectiveness Data and Information Set (HEDIS) measures.


2021 ◽  
pp. 106002802110320
Author(s):  
Heather G. Allore ◽  
Danijela Gnjidic ◽  
Melissa Skanderson ◽  
Ling Han

Background Potentially inappropriate medication (PIMs) use is common in older inpatients and it may lead to increased risk of adverse drug events. Objectives To examine prevalence of PIMs at hospital discharge and its contribution to health care utilization and mortality within 30-days of hospital discharge. Methods This was a prospective cohort of 117 570 veterans aged ≥65 years and hospitalized in 2013. PIMs at discharge were categorized into central nervous system acting (CNS) and non-CNS. Outcomes within 30-days of hospital discharge were: (1) time to first acute care hospital readmission, and all-cause mortality, (2) an emergency room visit, and (3) ≥3 primary care clinic visits. Results The cohort’s mean age was 74.3 years (SD 8.1), with 51.3% exposed to CNS and 62.8% to non-CNS PIMs. Use of CNS and non-CNS PIMs, respectively, was associated with a reduced risk of readmission, with an adjusted hazard ratio (aHR) of 0.93 (95% CI = 0.89-0.96) for ≥2 (vs 0) CNS PIMs and an aHR of 0.85 (95% CI = 0.82-0.88) for ≥2 (vs 0) non-CNS PIMs. Use of CNS PIMs (≥2 vs 0) was associated with increased risk of mortality (aHR = 1.37 [95% CI = 1.25-1.51]), whereas non-CNS PIMs use was associated with a reduced risk of mortality (aHR = 0.75 [95% CI = 0.69-0.82]). Conclusion and Relevance PIMs were highly common in this veteran cohort, and the association with outcomes differed by PIMs. Thus, it is important to consider whether PIMs are CNS acting to optimize short-term posthospitalization outcomes.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Huanyu ZHANG ◽  
Eliza L. Y. WONG ◽  
Samuel Y. S. WONG ◽  
Patsy Y. K. CHAU ◽  
Benjamin H. K. YIP ◽  
...  

Abstract Background The Hong Kong-specific criteria have been established in 2019 to assess potentially inappropriate medication (PIM) use in older adults and improve the local prescribing quality. The aim of this study was to compare the adaptive versions of the Hong Kong-specific criteria and 2015 Beers criteria for assessing the prevalence and correlates of PIM use in Hong Kong older patients. Methods A cross-sectional study was performed from January 1, 2014 to December 31, 2014 using the Hospital Authority (HA) database. A total of 489,301 older patients aged 65 years and older visiting general outpatient clinics (GOPCs) during the study period were included in the study. Two categories of PIM use included in the Hong Kong-specific criteria and 2015 Beers criteria, i.e. PIMs independent of diagnoses and PIMs considering specific medical conditions, were adapted to assess the prevalence of PIM use among the study sample. Characteristics of PIM users and the most frequently prescribed PIMs were investigated for each set of the criteria. Factors associated with PIM use were identified using the stepwise multivariable logistic regression analysis. Results The adaptive Hong Kong-specific criteria could detect a higher prevalence of patients exposed to at least one PIM than that assessed by the adaptive Beers criteria (49.5% vs 47.5%). Meanwhile, the adaptive Hong Kong-specific criteria could identify a higher rate of patients exposed to PIMs independent of diagnoses (48.1% vs 46.8%) and PIMs considering specific medical conditions (7.3% vs 4.9%) compared with that of the adaptive Beers criteria. The most frequently prescribed PIMs detected by the adaptive Beers criteria were all included in the adaptive Hong Kong-specific criteria. The strongest factor associated with PIM use was number of different medications prescribed. Patients with female gender, aged 65 ~ 74 years, a larger number of GOPC visits, and more than six diagnoses were associated with greater risk of PIM use, whereas advancing age was associated with lower risk of PIM use. Conclusions The adaptive Hong Kong-specific criteria could detect a higher prevalence of PIM use than the adaptive Beers criteria in older adults visiting GOPCs in Hong Kong. It is necessary to update the prevalence and correlates of PIM use regularly in older adults to monitor the burden of PIM use and identify vulnerable patients who need further interventions.


2021 ◽  
Vol 12 ◽  
pp. 204209862110125
Author(s):  
Maria Herrero-Zazo ◽  
Rachel Berry ◽  
Emma Bines ◽  
Debi Bhattacharya ◽  
Phyo K. Myint ◽  
...  

Background: Anticholinergic medications are associated with adverse outcomes in older adults and should be prescribed cautiously. We describe the Anticholinergic Risk Scale (ARS) scores of older inpatients and associations with outcomes. Methods: We included all emergency, first admissions of adults ⩾65 years old admitted to one hospital over 4 years. Demographics, discharge specialty, dementia/history of cognitive concern, illness acuity and medications were retrieved from electronic records. ARS scores were calculated as the sum of anticholinergic potential for each medication (0 = limited/none; 1 = moderate; 2 = strong and 3 = very strong). We categorised patients based on admission ARS score [ARS = 0 (reference); ARS = 1; ARS = 2; ARS ⩾ 3] and change in ARS score from admission to discharge [admission and discharge ARS = 0 (reference); same; decreased; increased]. We described anticholinergic prescribing patterns by discharge specialty and explored multivariable associations between ARS score categories and mortality using logistic regression [odds ratios (ORs), 95% confidence intervals (CIs)]. Results: From 33,360 patients, 10,183 (31%) were prescribed an anticholinergic medication on admission. Mean admission ARS scores were: Cardiology and Stroke = 0.56; General Medicine = 0.78; Geriatric Medicine = 0.83; Other medicine = 0.81; Trauma and Orthopaedics = 0.66; Other Surgery = 0.65. Mean ARS did not increase from admission to discharge in any specialty but reductions varied significantly, from 4.6% (Other Surgery) to 27.7% (Geriatric Medicine) ( p < 0.001). The odds of both 30-day inpatient and 30-day post-discharge mortality increased with admission ARS = 1 (OR = 1.21, 95% CI 1.01–1.44 and OR = 1.44, 1.18–1.74) but not with ARS = 2 or ARS ⩾ 3. The odds of 30-day post-discharge mortality were higher in all ARS change categories, relative to no anticholinergic exposure (same: OR = 1.45, 1.21–1.74, decreased: OR = 1.27, 1.01–1.57, increased: OR = 2.48, 1.98–3.08). Conclusion: The inconsistent dose–response associations with mortality may be due to confounding and measurement error which may be addressed by a prospective trial. Definitive evidence for this prevalent modifiable risk factor is required to support clinician behaviour-change, thus reducing variation in anticholinergic deprescribing by inpatient speciality. Plain language summary We describe how commonly medicines which block the chemical acetylcholine are prescribed to older adults admitted to hospital as an emergency and explore links between these medicines and death during or soon after hospital admission Backgroud: Medicines which block the chemical acetylcholine are commonly prescribed to treat symptoms such as itch and difficulty sleeping or to treat medical conditions such as depression. However, some studies in older adults have found potential links between these medicines and confusion and falls. Therefore, doctors are recommended to prescribe these drugs cautiously in adults aged 65 years and over. Methods: In our paper we use data collected as part of routine medical care at one university hospital to describe how often these medicines are prescribed in a large sample of older adults admitted to hospital as an emergency. We look at the medicines patients are prescribed on admission to the hospital and also when they are later discharged. Results: We find that these medicines are frequently prescribed. We also find that, in general, patients are prescribed fewer of these potentially harmful medicines on hospital discharge compared with hospital admission. This suggests that clinicians are aware of advice to prescribe acetylcholine blocking medicines cautiously and they are more often stopped in hospital than started. However, we find a lot of variation in practice depending on which hospital specialty was caring for the patient during their inpatient stay. We also find potential links with these medicines and death during the admission or soon after hospital discharge, but these potential links are not always consistent. Conclusion: Further study is needed to fully understand links between medicines that block acetylcholine and late life health. This will be important to reduce variation in prescribing practices.


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