The World Health Organisation Patient Safety Challenge: Medication Without Harm has brought our attention to the importance of medication-related harm as a global public health issue. One of the major contributing factors is polypharmacy, the usage of multiple medicines at the same time. People are getting older and living longer with chronic diseases; they need more medications, which frequently leads to polypharmacy. Subsequently, they are at more risk of medication-related harm. The planned project is an epidemiological study on polypharmacy, medication appropriateness, risk factors, and clinical outcomes post-discharge from a hospital for internal medicine patients. The study group hypothesise that pre- and post-admission polypharmacy and potentially inappropriate prescribing is common, especially among older patients, patients with a high comorbidity and frailty burden. Our hypothesis is additionally that preadmission polypharmacy and potentially inappropriate prescribing is associated with higher short- and long-term mortality, a longer primary hospitalization length of stay, and a higher risk of readmission.
This is an observational, retrospective, single-centered study using clinical data from the patient's medical record from the hospital, the national prescription database of the Directorate of Health, and the ICD-10 codes from primary care records. For this analysis, medicines will be classified into drug classes based on the first five characters of their WHO Anatomical Therapeutic Chemical (ATC) code. The prevalence (pre) and incidence (post) of polypharmacy (≥5 or more regular medicines) and hyper-polypharmacy (≥10 regular medicines) will be calculated. Potentially inappropriate prescribing will be assessed in individuals ≥65 years, applying Beers 2019, Start and Stopp 2014, explicit prescribing criteria. The analysis will be restricted to older individuals, as Beers criteria have not been validated in younger age groups. The anticholinergic burden will be assessed for all individuals ≥18 years will be assessed by applying the anticholinergic burden scale, and the PRIME tool will be applied to predict the likelihood of medication-related harm post-discharge. The PRIME tool consists of eight variables drawn from clinical, medication, and psychosocial domains. Applied at the point of discharge, it provides the absolute risk of an individual older adult experiencing medication-related harm during the eight weeks after discharge from acute hospital admission. This stratification is important in order to deliver targeted interventions in resource-limited healthcare settings.
Study Type
OBSERVATIONAL
Enrollment
85,942
Faculty of Pharmaceutical Sciences
Reykjavik, Iceland
Prevalence of polypharmacy
Polypharmacy measured by by the number of different ATC classes of medications filled in the year preceding and year following surgery. Polypharmacy further quantified into categories of non-polypharmacy (\<5), polypharmacy (5-9) and hyper-polypharmacy (≥10).
Time frame: Two years, one year pre-admission and one year post-admisson, 2010-2020
Incidence of polypharmacy
Polypharmacy measured by by the number of different ATC classes of medications filled in the year preceding and year following surgery. Polypharmacy further quantified into categories of non-polypharmacy (\<5), polypharmacy (5-9) and hyper-polypharmacy (≥10).
Time frame: Two years, one year pre-admission and one year post-admisson, 2010-2020
Potentially inappropriate prescribing by Beers criteria 2019
The association of potentially inappropriate prescribing by applying Beers criteria 2019 with polypharmacy (summary score, yes/no)
Time frame: 2010-2020
Anticholinergic burden by applying the Anticholinergic burden scale
The association of anticholinergic burden by applying the Anticholinergic burden scale with polypharmacy ((summary score, yes/no)
Time frame: 2010-2020
Demographics
Gender (male, female),age (years), comorbidity based on the International Statistical Classification of Diseases, and Related Health Problems, ninth or tenth revision, ICD9/10 classification system
Time frame: 2010-2020
Comorbidity burden
The association of comorbidity burden will be described by calculating the Charlson Comorbidity Index and Elixhauser comorbidity index (summary score) with polypharmacy ((summary score, yes/no)
Time frame: 2010-2020
Drug classes
Drug classes based on ATC-codes on filled medications from the Prescription Medicines Registry and association with polypharmacy
Time frame: 2010-2020
Clinical outcomes
Mortality (short-and long-term mortality) Length of hospital stay (number of days, ≥ ten days) Readmission (number of days until readmission, readmission \<30 days)
Time frame: 2010-2020
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