Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data

Ten-year analgesic utilization patterns and economic implications in Portugal

AIMS

This study evaluated the 10-year consumption and economic patterns of classical analgesics, adjuvants and opioids in Portugal (2012-2022), and conducted a comparative analysis between Portugal, Spain and Denmark to explore the consumption patterns among these countries for 2022.

METHODS

Data on sales and national health service (NHS) costs were obtained from the Portuguese National Authority of Medicines and Health Products. Sales data were converted to defined daily dose (DDD) per 1000 inhabitants per day according to the Anatomical Therapeutic Chemical (ATC) classification/DDD methodology, while comparisons between Spain and Denmark were evaluated with the chi-square test, when appropriate.

RESULTS

The findings reveal that classical analgesics use in Portugal remained stable during the period 2012-2022, with ibuprofen being the most consumed. Adjuvants, specifically gabapentinoids, experienced an 84% increase in use, primarily attributed to pregabalin. Weak opioids, led by tramadol, witnessed a 117% rise in use, while strong opioid use, led by tapentadol, increased by 618%. Portugal presented the lowest overall opioid consumption when compared to Denmark and Spain in 2022. Economic trends indicated a heightened NHS expenditure on analgesics, primarily driven by increased opioid use. Notwithstanding, there was no significant burden on relative expenditure over the 10-year period.

CONCLUSIONS

Portugal presented a major increase in both weak and strong opioid prescriptions, aligning with the trends for Spain and Denmark. The development and approval of generic medicines and vigilant market monitoring are imperative strategies for managing the escalated costs resulting from heightened consumption, particularly concerning opioids.

Consumption Trends of Antifungal and Antiprotozoal Agents for Human Systemic Use in Kazakhstan from 2017 to 2023

BACKGROUND/OBJECTIVES

While multiple studies have investigated antibiotic consumption rates, there are few studies on the consumption of systemic antifungals and antiprotozoals. This study aims to fill this gap by providing a comprehensive analysis of nationwide consumption trends in Kazakhstan over a seven-year period (2017-2023).

METHODS

Defined daily doses per 1000 inhabitants per day were calculated for systemic antifungals (J02 code of the Anatomical Therapeutic Chemical Classification System (ATC)) and antiprotozoals (P01 code of the ATC). Time series analyses were applied to examine historical trends, evaluate the impact of the COVID-19 pandemic, and make future projections until 2030.

RESULTS

The total consumption increased over the study period, with an average annual percent change of 1.11% for antifungals and 5.48% for antiprotozoals. Fluconazole was the most consumed antifungal agent, whereas metronidazole was the most consumed antiprotozoal agent. The COVID-19 pandemic had a positive but insignificant effect on the consumption of antifungals and a negative and also insignificant effect on the consumption of antiprotozoals. Forecast modeling indicates that the future trends in antifungal and antiprotozoal consumption until 2030 will largely remain stable, with the exception of antiprotozoal consumption in the hospital sector, which is projected to decline.

CONCLUSIONS

These findings offer valuable insights into the development and implementation of targeted antimicrobial stewardship programs in Kazakhstan.

Returned Rate and Changed Patterns of Systemic Antibiotic Use in Ambulatory Care in Hungary after the Pandemic-A Longitudinal Ecological Study

The COVID-19 pandemic affected the epidemiology of infectious diseases and changed the operation of health care systems and health care seeking behavior. Our study aimed to analyze the utilization of systemic antibiotics in ambulatory care in Hungary after the COVID-19 pandemic and compare it to the period before COVID. We defined three periods (24 months each): Before COVID, COVID, and After COVID. Monthly trends in systemic antibiotic (J01) use were calculated using the WHO ATC-DDD index and expressed as DDD/1000 inhabitants/day (DID) and number of exposed patients per active agent. The data were further categorized by the WHO AWaRe classification. In the After COVID period, we detected almost the same (11.61 vs. 11.11 DID) mean monthly use of systemic antibiotics in ambulatory care compared to the Before COVID period. We observed a decrease in the seasonality index in the After COVID period (46.86% vs. 39.86%). In the After COVID period, the use of cephalosporins and quinolones decreased significantly, while in the case of macrolides, a significant increase was observed compared to the Before COVID period, with excessive azithromycin use (66,869 vs. 97,367 exposed patients). This study demonstrated significant changes in the pattern of ambulatory care antibiotic use in Hungary.

The relationship between statin administration timing and survival outcomes in patients with cancer receiving immune checkpoint blockade

OBJECTIVE

Statins have been demonstrated to improve outcomes in patients receiving immune checkpoint blockade (ICB). This study aimed to investigate whether the timing of statin administration influences the outcomes of patients receiving ICB.

METHODS

We conducted a retrospective cohort study utilizing electronic health records from two tertiary referral centers in Taiwan. We compared the overall survival (OS) and progression-free survival (PFS) of patients who received statins before and after ICB initiation.

RESULTS

We included 734 patients who received ICB. Among them, 606 were non-statin users, 76 started statins after ICB initiation, and 52 started statins before ICB initiation. Post-ICB statin users demonstrated significantly prolonged OS (median 37.6 versus 10.3 versus 11.3 months, p = 0.009) and PFS (median 10.5 versus 6.3 versus 5.6 months, p = 0.024) compared to pre-ICB statin and non-statin users. Statin use after ICB initiation had a reduced risk of all-cause mortality (HR, 0.65 [95% CI: 0.45-0.94], p = 0.022) and progressive disease (HR, 0.71 [95% CI: 0.53-0.95], p = 0.021) by approximately 30-35%, compared to non-statin users. However, statin use prior to ICB initiation did not affect the risk of all-cause mortality or progressive disease. Similar results were observed after controlling for potential cofounders such as age, sex, cancer stage, and cancer type.

CONCLUSIONS

These findings suggest that initiating statin therapy after the initiation of ICB, regardless of indication, is associated with improved patient prognosis.

Analysis of longitudinal patterns and predictors of medicine use in residential aged care using group-based trajectory modelling: The MEDTRAC-Polypharmacy longitudinal cohort study

AIMS

Polypharmacy serves as a quality indicator in residential aged care facilities (RACFs) due to concerns about inappropriate medication use. However, aggregated polypharmacy rates at a single time offer limited value. Longitudinal analysis of polypharmacy patterns provides valuable insights into identifying potential overuse of medicines. We aimed to determine long-term trajectories of polypharmacy (≥9 medicines) and factors associated with each polypharmacy trajectory group.

METHODS

This was a longitudinal cohort study using electronic data from 30 RACFs in New South Wales, Australia. We conducted group-based trajectory modelling to identify and characterize polypharmacy trajectories over 3 years. We evaluated the model fitness using the Bayesian Information Criterion, entropy (with a value of ≥0.8 considered ideal) and several other metrics.

RESULTS

The study included 2837 permanent residents (median age = 86 years, 61.7% female and 47.4% had dementia). We identified five polypharmacy trajectory groups: group 1 (no polypharmacy, 46.0%); group 2 (increasing polypharmacy, 9.4%); group 3 (decreasing polypharmacy, 9.2%); group 4 (increasing-then decreasing polypharmacy, 10.0%), and group 5 (persistent polypharmacy, 25.4%). The model showed excellent performance (e.g., entropy = 0.9). Multinomial logistic regressions revealed the profile of each trajectory group (e.g., group 5 residents had higher odds of chronic respiratory disease compared with group 1).

CONCLUSIONS

Our study identified five polypharmacy trajectory groups, including one with over a quarter of residents following a persistently high trajectory, signalling concerning medication overuse. Quality indicator programs should adopt tailored metrics to monitor diverse polypharmacy trajectory groups, moving beyond the current one-size-fits-all approach and better capturing the evolving dynamics of residents' medication regimens.

Drug-associated porphyria: a pharmacovigilance study

BACKGROUND

The potentially fatal attacks experienced by porphyria carriers are triggered by various porphyrinogenic drugs. However, determining the safety of particular drugs is challenging.

METHODS

We retrospectively used the U.S. Food and Drug Administration's Adverse Event Reporting System (FAERS) to identify drugs associated with porphyria as an adverse event (AE) extracted from data from January 2004 to March 2022. The associated search terms included "Porphyria," "Porphyria screen," "Porphyria non-acute," "Porphyria acute," "Acquired porphyria," and "Pseudoporphyria." Signal mining analysis was performed to identify the association between drugs and AEs by four algorithms, namely the reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and multi-item gamma Poisson shrinker.

RESULTS

FAERS reported 1470 cases of porphyria-related AEs, and 406 drugs were screened after combining trade and generic names. All four algorithms identified 52 drugs with signals. The characteristics of all the reports and signaling drugs were analyzed.

CONCLUSIONS

This is the first report of drug-associated porphyria that provides critical information on drug porphyrogenicity, facilitating rational and evidence-based drug prescription and improving the accuracy of porphyrogenicity prediction based on model algorithms. Moreover, this study serves a reference for clinicians to ensure that porphyrinogenic drugs are not prescribed to carriers of porphyria genetic mutations.

Cumulative Dose Effects of H1 Antihistamine Use on the Risk of Dementia in Patients With Allergic Rhinitis

BACKGROUND

H1 antihistamines (AHs), categorized as first-generation antihistamines (FGAs) or second-generation antihistamines (SGAs), possess anticholinergic properties linked to heightened dementia risk.

OBJECTIVES

To explore dementia risk in patients with allergic rhinitis using AHs.

METHODS

Taiwanese patients with new-onset allergic rhinitis (2011-2017) constituted the study population (677,971 with FGAs or SGAs, 36,081 without AHs). AH use was measured in cumulative defined daily dose (cDDD). Patients were grouped by cDDD (nonuser, <60 cDDD, 60-120 cDDD, and >120 cDDD). A Cox proportional hazard model assessed the AH-dementia association. Sensitivity analysis explored AH effects on dementia risk across subgroups and associations between specific AHs and dementia types.

RESULTS

FGAs in patients with allergic rhinitis were associated with elevated dementia risk. At less than 60 cDDD, adjusted hazard ratio (aHR) was 1.13 (95% CI, 1.09-1.17); at 60 to 120 cDDD, aHR was 1.29 (95% CI, 1.21-1.38); and at more than 120 cDDD, aHR was 1.51 (95% CI, 1.42-1.62). SGAs also raised dementia risk. At less than 60 cDDD, aHR was 1.11 (95% CI, 1.05-1.17); at 60 to 120 cDDD, aHR was 1.19 (95% CI, 1.12-1.26); and at more than 120 cDDD, aHR was 1.26 (95% CI, 1.19-1.33).

CONCLUSIONS

Patients with allergic rhinitis on FGAs or SGAs face an escalating dementia risk with increasing cumulative dosage. Moreover, FGAs exhibit a higher dementia risk compared with SGAs. Nevertheless, extensive clinical trials are imperative for confirming the association between FGA use, SGA use, and dementia risk.

Low-Dose Aspirin and Prevention of Colorectal Cancer: Evidence From a Nationwide Registry-Based Cohort in Norway

INTRODUCTION

To examine the association between low-dose aspirin use and risk of colorectal cancer (CRC).

METHODS

In this nationwide cohort study, we identified individuals aged 50 years or older residing for 6 months or more in Norway in 2004-2018 and obtained data from national registers on drug prescriptions, cancer occurrence, and sociodemographic factors. Multivariable Cox regression models were used to estimate the association between low-dose aspirin use and CRC risk. In addition, we calculated the number of CRC potentially averted by low-dose aspirin use.

RESULTS

We included 2,186,390 individuals. During the median follow-up of 10.9 years, 579,196 (26.5%) used low-dose aspirin, and 38,577 (1.8%) were diagnosed with CRC. Current use of aspirin vs never use was associated with lower CRC risk (hazard ratio [HR] 0.87, 95% confidence interval [CI] 0.84-0.90). The association was more pronounced for metastatic CRC (HR 0.79; 95% CI 0.74-0.84) than regionally advanced (HR 0.89; 95% CI 0.85-0.92) and localized CRC (HR 0.93; 95% CI 0.87-1.00; P heterogeneity = 0.001). A significant trend was found between duration of current use and CRC risk: HR 0.91 (95% CI 0.86-0.95) for <3 years, HR 0.85 (0.80-0.91) for ≥3 and <5 years, and HR 0.84 (0.80-0.88) for ≥5 years of use vs never use ( P trend < 0.001). For past use, HR were 0.89 (95% CI 0.84-0.94) for <3 years, 0.90 (0.83-0.99) for ≥3 and <5 years, and 0.98 (0.91-1.06) for ≥5 years since last use vs never use ( P -trend < 0.001). We estimated that aspirin use averted 1,073 cases of CRC (95% CI 818-1,338) in the study period.

DISCUSSION

In this nationwide cohort, use of low-dose aspirin was associated with a lower risk of CRC.

Impact of COVID-19 pandemic on the utilization and quality of antibiotic use in the primary care setting in England, March 2019-March 2023: a segmented interrupted time series analysis of over 53 million individuals

BACKGROUND

Amid the COVID-19 pandemic, we evaluated the short-term impact of COVID-19 on antibiotic use in primary care in England, focusing on both antibiotic quantity (overuse) and quality (misuse) of use.

RESEARCH DESIGN AND METHODS

A population-based segmented interrupted analysis was applied on monthly dispensed antibiotics prescriptions using the Prescription Cost Analysis dataset (March/2019-March/2023). The quantity was assessed using number of items dispensed per 1000 inhabitants (NTI) and defined daily doses per 1000 inhabitants per day (DID), while quality was evaluated using WHO's Access Watch Reserve (AWaRe) classification, the proportion of '4C' antibiotics and the percentage of broad- to narrow-spectrum antibiotics.

RESULTS

Findings indicate 8.6 (17.2%) and 0.4 (2.6%) increase in the NTI and DID, respectively, with a statistically significant uptick in trend noted after the second lockdown (β5) for 'total antibiotics' for NTI only (β5 = 1.6; 95% CI:0.17, 3.1). Quality assessment showed an increase in 'Access' antibiotics from 77% in March/2019 to 86% in March/2023; however, COVID-19 had no significant impact on WHO AWaRe classes.

CONCLUSION

COVID-19's impact on antibiotic use quality and quantity appeared to be minimal, though an increase in utilization post-second lockdown coincided with healthcare system recovery. This suggests a nuanced impact of the pandemic, highlighting the importance of continued antimicrobial stewardship.

SGLT-2 Inhibitor Use and Cause-Specific Hospitalization Rates: An Outcome-Wide Study to Identify Novel Associations of SGLT-2 Inhibitors

Sodium-glucose co-transporter 2 inhibitors (SGLT2is) have demonstrated multifaceted pharmacological effects. In addition to type 2 diabetes, they are now indicated for heart failure and chronic kidney disease. This study aimed to identify novel associations between SGLT2i use and health outcomes using real-world data. Using linked data from a nationwide diabetes registry in Australia, we compared hospitalization rates in people living with type 2 diabetes commencing treatment with SGLT2i and dipeptidyl peptidase-4 inhibitor (DPP4i) between December 1, 2013, and June 30, 2019. Cause-specific hospitalizations were categorized across three hierarchies of diagnoses (first, first three, and first four digits of International Classification of Diseases, Tenth Version, Australian Modification codes). Incidence rate ratio (IRR) and 95% confidence interval (95% CI) for each cause-specific hospitalization were estimated using negative binomial regression. In the first hierarchy, hospitalization rates were lower across most diagnosis groups among SGLT2i initiators (n = 99,569) compared with DPP4i initiators (n = 186,353). In the second and third hierarchies, there were lower hospitalization rates relating to infections, anemias, and obstructive airway diseases among SGLT2i initiators compared with DPP4i initiators. These included sepsis (IRR: 0.60, 95% CI: 0.51-0.72) anemia (IRR: 0.55, 95% CI: 0.46-0.66), and chronic obstructive pulmonary diseases (IRR: 0.52, 95% CI: 0.40-0.68), as well as for previously known associations (e.g., heart failure (IRR: 0.63, 95% CI: 0.56-0.70)). SGLT2is have previously uncharacterized associations on a range of important clinical outcomes; validation of these associations requires further study, some of which may suggest novel benefits or new indications for SGLT2is.

Short-term effects of antimicrobial stewardship programs on antibiotics usage, clinical outcomes, and multidrug resistant organisms in the post COVID-19 era

BACKGROUND

Antimicrobial resistance is associated with increasing mortality rates and the emergence of multidrug-resistant (MDR) organisms. There is scarcity of data on the short-term impact of Antimicrobial Stewardship Programs (ASP) on antibiotic usage, clinical outcome and MDR organisms' pattern following the COVID-19 pandemic. This study evaluated the short-term effects of ASP on antibiotic usage, clinical outcomes and MDR organisms' pattern in the post COVID-19 era.

METHODS

Conducted at a tertiary academic health center, this observational study involved adult patients (≥18 years) in the general medical unit, treated with oral or intravenous antibiotics from May 1, 2021, to April 30, 2022. The applied ASP strategy was a prospective audit and feedback where a weekly meeting was held to discuss the antimicrobial therapy of admitted patient, after which recommendations were made regarding antimicrobial use.

RESULTS

The study included 301 patients with 166 (55.1%) pre-ASP and 135 (44.9%) post-ASP. The median (IQR) age was 69 (55-77) years with 56.1% were female. Antibiotic usage dropped by 25.2% post-ASP. The length of hospital stay (LOS) was longer post-ASP (7 days vs. 7.9 days, p = 0.001), with MDR infections being a significant predictor (OR: 0.486, p < 0.001). There were no significant differences in 28-day readmission, recurrence of infections and all-cause mortality. Post-ASP, MDR pathogens increased (17.0% vs. 6.6%, p = 0.013), however, after separating post-ASP into two three-months periods, MDROs numbers decreased slightly (13 vs. 10).

CONCLUSION

Short-term ASP implementation post COVID-19 reduced antibiotic usage while other clinical outcomes remained unchanged. Nonetheless an increase in MDR pathogens and LOS was observed. Further research is required to assess ASP's long-term impact on MDR infections rates and specific patient group outcomes.

High prevalence of potential psychotropic drugs interactions among Brazilian dental patients

OBJECTIVE

To determine the prevalence of potential drug-drug interactions involving psychotropics prescribed by dentists, and dispensed by the public healthcare system, as well as to describe the severity and level of evidence of those interactions in the state of Minas Gerais, Brazil.

MATERIALS AND METHODS

We conducted data analysis from pharmaceutical claims in which dental patients received systemic psychotropics in 2017. Data from the Pharmaceutical Management System provided the drug dispensing history of the patients, allowing the identification of those on concomitant medication use. The outcome was the occurrence of potential drug-drug interactions, which were detected according to IBM Micromedex®. Independent variables were the patient's sex, age, and the number of drugs used. Descriptive statistics was performed using SPSS v. 26.

RESULTS

Overall, 1480 individuals were prescribed psychotropic drugs. The prevalence of potential drug-drug interactions was 24.8% (n = 366). The total of 648 interactions was observed and, most of which were of major severity (n = 438, 67.6%). Most interactions occurred in female individuals (n = 235; 64.2%), with 46.0 (±17.3) years-old, concurrently taking 3.7 (±1.9) drugs.

CONCLUSION

A substantial proportion of dental patients presented potential drug-drug interactions, mostly of major severity, which might be life-threatening.

Trends in antihypertensive use among privately insured hypertensive clients in Ghana

The objective of the study was to describe the patterns of antihypertensive medicines (AHM) in a selected national population in Ghana. The claims data for all privately insured patients in Ghana over three years to 2018 were analysed. The classes of medicines used, the dose by time, gender and age, and generic status were examined. In addition, the use in Defined Daily Dose (DDD) per 1000 population per day was estimated. Classes of AHM prescribed were CCB, ARB, ACEI, diuretics, and BB. Amlodipine, nifedipine, losartan, lisinopril, and bendroflumethiazide accounted for 74% of all use. The most widely used single CCB was amlodipine 3.92 DDD/1,000 population/day in 2016, 3.92 DDD/1,000 population/day in 2017, and 4.92 DDD/1,000 population/day in 2018. In those aged 51-60 years, use of CCB in women (74.0 DDD/1,000 population/day) was almost twice that of men (38.3 DDD/1,000 population/day). The top ten medicines accounted for 93% of all single medicine products in 2018. Most single medicine products was generic (76.5% in 2016; 79.9% in 2017 and 83.1% in 2018) whiles most fixed combination products were branded (73.0% in 2016; 89.7% in 2017 and 91.3% in 2018). The patterns of AHM use are clinically expected although the Ghana Standard Treatment guidelines are not directive about lines of treatment.

Impact of adherence to disease-modifying drugs in multiple sclerosis: A study on Italian real-world data

BACKGROUND

Multiple Sclerosis (MS) is a chronic inflammatory disease of the central nervous system requiring complex diagnostic and therapeutic management. Treatment with Disease Modifying Drugs (DMDs) is aimed at reducing relapse rate and disease disability. Few real-world, population-based data are available on the impact of adherence on relapse rate. The objective of this study was to assess the impact of adherence to DMDs on relapses in a real-world Italian setting.

METHODS

Population-based cohort study. People with MS (PwMS) older than 18 years and residing in the Emilia-Romagna region, Northern Italy, were identified through administrative databases using a validated algorithm. A Cox regression model with a time-varying exposure was performed to assess the association between level of adherence to DMDs and relapses over a 5-year period.

RESULTS

A total of 2,528 PwMS receiving a first prescription of DMDs between 2015 and 2019 were included (average age of 42, two-thirds female). Highly adherent PwMS had a 25 % lower hazard of experiencing moderate or severe relapses than non-adherent PwMS (Hazard Ratio 0.75, 95 % CI 0.58 to 0.98), after adjusting for age and sex. Several sensitivity analyses supported the main result.

CONCLUSION

The results of our study support the hypothesis that a high level of DMD adherence in MS is associated with a lower risk of moderate or severe relapse. Therefore, choosing the DMD with which to start drug treatment and recommending adherence to treatment appear to be crucial aspects involving both physicians and patients.

Pharmacoepidemiological Analysis of Antibacterial Agents Used in a Provisional Hospital in Aktobe, Kazakhstan, in the Context of COVID-19: A Comparison with the Pre-Pandemic Period

In the context of the global spread of Coronavirus Disease 2019 (COVID-19), the issue of evaluating and optimizing the use of antibacterial drugs becomes especially relevant. The coronavirus pandemic has provided a unique opportunity to study the dynamics of the consumption of antibacterial agents and their impact on public health. The rational use of antibiotics is a key aspect of the fight against antimicrobial resistance, which makes this study particularly important. The aim of this study was to assess changes in the consumption of antibacterial drugs among patients hospitalized with COVID-19 during the peak of the 2020 pandemic and compare them with data from 2019 prior to the pandemic. This study collated data on antibacterial drug consumption in a regional hospital in Aktobe, which served a large population of patients during the pandemic. A pharmacoepidemiological study was conducted using the Anatomical Therapeutic Chemical (ATC)/Defined Daily Dose (DDD) methodology. The pharmacoepidemiological study using the international ATC/DDD methodology revealed a concerning pattern of irrational consumption of antibacterial drugs, including cephalosporins, azalides, second-generation fluoroquinolones, and systemic aminoglycosides in Aktobe. Among antibacterial drugs during the pandemic, the most significant increase in consumption was from the group of cephalosporins (19,043 DDD/100 bed-days). The share of their consumption was 35.4% of the total consumption of antibacterial drugs. Pharmacoepidemiological studies using the international methodology ATC/DDD showed an alarming picture of irrational consumption of antibacterial drugs of the group of cephalosporins, azalides, fluoroquinolones, and aminoglycosides in Aktobe, and, in this case, excessive use of the identified antibiotics raises concerns about the possibility of increasing the problem of resistance to microbes.

A Study of Drug Utilization Pattern and Pharmacoeconomic Analysis of Immunosuppressant Drugs in Patients With Skin Disorders in a Tertiary Care Hospital in Bihar

Aims The cost-effective therapy of immunosuppressant drugs in dermatological conditions will not only lead to adherence to rational prescribing but will also increase patient compliance with fewer dropouts due to cost factor. Thus, this study was done to determine and compare the drug utilization pattern, prescribed daily dose/defined daily dose (PDD/DDD) defined by WHO, and the cost-effectiveness ratio of different immunosuppressants.  Methods and material Prescriptions for patients with skin disorders prescribed with any one systematic or topical immunosuppressant were collected. The utilization of drugs in different skin disorders was expressed as frequency and percentage. PDD was compared with DDD as per the WHOCC-Anatomical Therapeutic Chemical (ATC)/DDD index. The pharmacoeconomic analysis was done using a cost-effectiveness ratio. Statistical analysis Descriptive statistics were used to calculate percentages, frequency, and 95% CI. The cost-effectiveness ratio in terms of SFDs (symptom-free days) was defined as the total cost of the initial antibiotic during the study period divided by the number of SFDs (cost/ SFD) and was expressed as mean±standard deviation, and the Kruskal-Wallis test was used to determine statistical significance of difference. Results Immunosuppressants were prescribed in 117 (19.12%) prescriptions out of a total of 612 prescriptions. Deflazacort was the most utilized systemic immunosuppressant prescribed in 27.18% of cases and was commonly prescribed for irritant contact dermatitis (ICD) and allergic contact dermatitis (ACD) followed by prednisolone and betamethasone. Tacrolimus was the most utilized topical immunosuppressant prescribed in 15.90% of patients and was commonly used for ICD and vitiligo followed by clobetasol and mometasone. Betamethasone, prednisolone, clobetasol, and mometasone had better cost-effectiveness. PDD/DDD of all immunosuppressants was less than one except prednisolone, which had a PDD/DDD ratio of 3.52. Conclusions The cost-effectiveness of steroids has the advantage of providing better patients' adherence to pharmacotherapy, but over-prescribing could also lead to long-term adverse effects of steroids. Pharmacovigilance research should also incorporate pharmacoeconomic analysis to determine the relation between these two aspects.

Dental Pain Medication Prescriptions in Minas Gerais, Brazil (2011-2021): A Time-Series Analysis

To describe trends of dentist-prescribed non-steroidal anti-inflammatory drugs (NSAIDs) and analgesics, from January 2011 to December 2021, as well as to examine the relationship between these trends and characteristics of public oral health services in Minas Gerais, Brazil. In this time-series analysis, all drugs were classified according to the Anatomical Therapeutic Chemical classification system. Drugs categorized as NSAIDs (M01A), and other analgesics and antipyretics (N02B) were included for analysis. The outcome was the number of Defined Daily Doses (DDDs)/1000 inhabitants/year for NSAIDs and analgesics in each town. Covariates referred to characteristics of public oral health services, such as coverage, estimates of dental procedures, and frequency of toothache. Linear time-series regression models were used to determine the influence of covariates on the outcome. Overall, there were 58,482 prescriptions of NSAIDs recorded in thirty-eight towns, while 47,499 prescriptions of analgesics in forty-three towns. For each year, there was a 0.38 (p < 0.001), and 0.28 (p < 0.001) increase in the average log of DDD/1000 inhabitants/year for NSAIDs and analgesics, respectively. A positive association was detected between toothache (p < 0.001) and the prescription of NSAIDs. Over the eleven years, there was a general rising trend in the prescriptions. Toothache was the only characteristic of public oral health services associated with the prescription rates of NSAIDs, implying that as the frequency of toothaches increase, so do the prescriptions of NSAIDs in the studied towns.

Comparing self-reported health interview survey and pharmacy billing data in determining the prevalence of diabetes, hypertension, and hypercholesterolemia in Belgium

BACKGROUND

Administrative and health surveys are used in monitoring key health indicators in a population. This study investigated the agreement between self-reported disease status from the Belgian Health Interview Survey (BHIS) and pharmaceutical insurance claims extracted from the Belgian Compulsory Health Insurance (BCHI) in ascertaining the prevalence of diabetes, hypertension, and hypercholesterolemia.

METHODS

Linkage was made between the BHIS 2018 and the BCHI 2018, from which chronic condition was ascertained using the Anatomical Therapeutic Chemical (ATC) classification and defined daily dose. The data sources were compared using estimates of disease prevalence and various measures of agreement and validity. Multivariable logistic regression was performed for each chronic condition to identify the factors associated to the agreement between the two data sources.

RESULTS

The prevalence estimates computed from the BCHI and the self-reported disease definition in BHIS, respectively, are 5.8% and 5.9% diabetes cases, 24.6% and 17.6% hypertension cases, and 16.2% and 18.1% of hypercholesterolemia cases. The overall agreement and kappa coefficient between the BCHI and the self-reported disease status is highest for diabetes and is equivalent to 97.6% and 0.80, respectively. The disagreement between the two data sources in ascertaining diabetes is associated with multimorbidity and older age categories.

CONCLUSION

This study demonstrated the capability of pharmacy billing data in ascertaining and monitoring diabetes in the Belgian population. More studies are needed to assess the applicability of pharmacy claims in ascertaining other chronic conditions and to evaluate the performance of other administrative data such as hospital records containing diagnostic codes.

Antibiotic Consumption in Vanuatu before and during the COVID-19 Pandemic, 2018 to 2021: An Interrupted Time Series Analysis

The study objectives were to examine antibiotic consumption at Vila Central Hospital (VCH), Vanuatu between January 2018 and December 2021 and the influence of the COVID-19 pandemic on antibiotic consumption during this period. Data on antibiotic usage were obtained from the Pharmacy database. We used the WHO's Anatomical Therapeutic Classification/Defined Daily Dose (ATC/DDD) index, VCH's inpatient bed numbers and the hospital's catchment population to calculate monthly antibiotic consumption. The results were expressed as DDDs per 100 bed days for inpatients (DBDs) and DDDs per 1000 inhabitants per day for outpatients (DIDs). Interrupted time series (ITS) was used to assess the influence of COVID-19 by comparing data before (January 2018 to January 2020) and during (February 2020 to December 2021) the pandemic. Ten antibiotics were examined. In total, 226 DBDs and 266 DBDs were consumed before and during COVID-19 by inpatients, respectively with mean monthly consumption being significantly greater during COVID-19 than before the pandemic (2.66 (p = 0.009, 95% CI 0.71; 4.61)). Whilst outpatients consumed 102 DIDs and 92 DIDs before and during the pandemic, respectively, the difference was not statistically significant. Findings also indicated that outpatients consumed a significantly lower quantity of Watch antibiotics during COVID-19 than before the pandemic (0.066 (p = 0.002, 95% CI 0.03; 0.11)). The immediate impact of COVID-19 caused a reduction in both inpatient and outpatient mean monthly consumption by approximately 5% and 16%, respectively, and this was followed by an approximate 1% monthly increase until the end of the study. By mid-2021, consumption had returned to pre-pandemic levels.

Trends in Brazilian market of antidepressants: A five-year dataset analysis

Introduction: Depression is an emotional disorder associated with morbidities and disabilities worldwide. The growing use of antidepressants is a concern for health managers because there are still unanswered questions on the effectiveness and safety of these medicines. Drug sales have increased in Brazil in recent years, but investigations on antidepressants sales are not available. We aimed to describe the trends in the antidepressant commerce in Brazil in a five-year period.

Materials and Methods: We performed an ecological study on antidepressant sales in Brazil, from November 2014 to October 2019, using data from IQVIA™, a data provider of pharmaceutical sales. Antidepressants were coded by the Anatomical Therapeutic Chemical classification system, and sales were presented in defined daily doses (DDDs) and DDDs per 1,000 inhabitants per day (DIDs). The results were expressed in absolute quantities and growth rates.

Results: The analyzed dataset contained 23 active substances in 780 products. The total sales of antidepressants increased from 23.3 DIDs in November 2014 to 38.3 DIDs in October 2019 (p = 0.002). Selective serotonin reuptake inhibitors were the most sold category of drugs (+5.7 million DDDs) in the period. ‘Other’ antidepressants presented the largest growth rate (104.7%). Individually, the most sold active substance was escitalopram (+1.8 million DDDs), and vortioxetine had the largest growth rate (336.2%). Tricyclic sales remained unchanged, and monoamine oxidase inhibitors had low and even decreasing sales (−9.5%).

Discussion: The total sales of antidepressants increased in Brazil from November 2014 to October 2019. The higher sale volumes of selective serotonin reuptake inhibitors and higher growth rate of ‘other’ antidepressants, with low sale volume of tricyclics and a decrease of monoamine oxidase inhibitors, suggest the replacement of older drugs by newer ones following a global trend. Therapeutic advances and commercial promotion efforts on new products might explain these findings.

The change of drug utilization in China’s public healthcare institutions under the “4 + 7” centralized drug procurement policy: Evidence from a natural experiment in China

Background: Improving drug accessibility and rational drug use are major challenges for China’s healthcare reform. In 2018, the Chinese government introduced a novel nationwide policy of centralized drug procurement for off-patent drugs, focusing on improving drug utilization patterns of public medical institutions.

Objective: To estimate the impacts of the Chinese centralized drug procurement policy (the so-called “4 + 7” policy) on drug utilization in public medical institutions.

Methods: A retrospective natural experimental design and difference-in-difference method were applied using cross-region data extracted from the national procurement database. Eleven “4 + 7” pilot cities (intervention group) and eleven non-pilot provinces (control group) were matched. In addition, “4 + 7” policy-related drugs (n = 116) were selected as study samples, including 25 drugs in the 4 + 7” procurement List (“4 + 7” List drugs) and their alternative drugs (n = 91) that have not yet been covered by centralized procurement policy. Then, the “4 + 7” List drugs were divided into bid-winning and non-winning drugs according to the bidding results, and they were sorted into generic and original drugs. Defined daily dose (DDD) was used to standardize the quantity of drugs used.

Results: In the 1-year procurement period, the overall completion rate of agreed procurement volume reached 191.4% in pilot cities. Owing to policy impact, the consumption increased by 405.31% in bid-winning drugs (β = 1.62, p &lt; 0.001) and decreased by 62.28% (β = −0.98, p &lt; 0.001) in non-winning drugs. The overall use proportion of bid-winning drugs increased from 17.03% to 73.61% with statistical significance (β = 1.48, p &lt; 0.001), and increments were also detected in all healthcare settings, regions, and anatomical therapeutic chemical (ATC) categories (all p-values &lt; 0.05). Generics and originators were detected with 67.53% increment (β = 0.52, p &lt; 0.001) and 26.88% drop (β = −0.31, p = 0.006) in consume volume. The use proportion of generics increased from 59.23% to 78.44% with significance (β = 0.24, p &lt; 0.001), as well as in tertiary hospitals (β = 0.31), secondary hospitals (β = 0.23), and primary healthcare centers (β = 0.11) (all p-values &lt; 0.001). The use proportion of relatively quality-guaranteed drugs (i.e. bid-winning and original drugs) increased from 56.69% to 93.61% with significance (β = 0.61, p &lt; 0.001), and similar increments were also detected in all healthcare settings, regions, and ATC categories (all p-values &lt; 0.05).

Conclusion: Healthcare providers demonstrated good compliance with the “4 + 7” policy in completing contracted procurement volume. Centralized drug procurement policy promoted drug consumption gradually concentrated on bid-winning drugs, generic drugs, and more importantly, quality-guaranteed drugs.

Characterization of Asthma by Age of Onset: A Multi-Database Cohort Study

BACKGROUND

Asthma can occur at any age but the differences in patient characteristics between childhood-, adult-, and late-onset asthma are not well understood.

OBJECTIVE

To investigate differences in patients' characteristics by age at asthma onset.

METHODS

From 5 European electronic databases, we created a cohort encompassing adult patients with doctor-diagnosed asthma in 2008 to 2013. Patients were categorized based on their age at asthma onset: childhood-onset (age at onset < 18 y), adult-onset (age at onset 18-40 y), and late-onset asthma (age at onset ≥ 40 y). Comorbidities were assessed at study entry. For each characteristic and comorbidity, odds ratios and age- and sex-adjusted odds ratios (OR_adj) comparing asthma-onset categories were estimated per database and combined in a meta-analysis using a random effect model.

RESULTS

In total, 586,436 adult asthma patients were included, 81,691 had childhood-onset, 218,184 adult-onset, and 286,561 late-onset asthma. Overall, 7.3% had severe asthma. Subjects with adult-onset compared with childhood-asthma had higher risks for overweight/obesity (OR_adj 1.4; 95% CI 1.1-1.8) and lower risks for atopic disorders (OR_adj 0.8; 95% CI 0.7-0.95). Patients with late-onset compared with adult-onset asthma had higher risks for nasal polyposis (OR_adj 1.8; 95% CI 1.2-2.6), overweight/obesity (OR_adj 1.3; 95% CI 1.2-1.4), gastroesophageal reflux disease (OR_adj 1.4; 95% CI 1.2-1.7), and diabetes (OR_adj 2.3; 95% CI 1.8-2.9). A significant association between late-onset asthma and uncontrolled asthma was observed (OR_adj 2.8; 95% CI 1.7-4.5).

CONCLUSIONS

This international study demonstrates clear differences in comorbidities between childhood-, adult-, and late-onset asthma phenotypes in adults. Furthermore, patients with late-onset asthma had more frequent uncontrolled asthma.

Antibiotic Consumption and Deviation of Prescribed Daily Dose From the Defined Daily Dose in Critical Care Patients: A Point-Prevalence Study

Background: The consumption of antibiotics is one of the metrics used to evaluate the impact of antimicrobial stewardship programs (ASP). The aim of this study was to determine the prevalence of antibiotic consumption in Brazilian intensive care units (ICUs) and estimate the deviation of the prescribed daily dose (PDD) from the defined daily dose (DDD). Methods: This is a multicenter, observational, point-prevalence study carried out in adult ICUs of 8 Brazilian hospitals from August 2019, to February 2020. We collected data on the patient's demographic and clinical characteristics, antibiotic therapy, classification and site of infections. The DU90 (antibiotic accounting for 90% of the volume utilized) was calculated, and the antibiotics were classified by the Anatomical Therapeutic Chemical (ATC) Index and the World Health Organization (WHO) Access, Watch, Reserve (AWaRe) groups. For the most prevalent antibiotics, the deviation of PDD from DDD was determined. Results: Three hundred thirty-two patients from 35 ICUs were analyzed. The prevalence of antibiotic use was 52.4%. The patients in use of antibiotics were predominantly over 60 years of age (81.6%) with pulmonary infections (45.8%). A predominance of empirical regimens was observed (62.6%) among antibiotic therapies. The highest frequencies of prescriptions observed were for piperacillin + tazobactam (16.1%), meropenem (13.3%), amoxicillin + clavulanate (7.2%), azithromycin (7.2%), and teicoplanin (6.1%). The watch (64.2%) and reserve (9.6%) categories of the AWaRe classification accounted for 73.8% of all antibiotics, and they were prescribed alone or in combinations. High variability of doses was observed for the most prescribed antibiotics, and large deviations of PDD from the DDD were observed for meropenem, teicoplanin, and tigecycline. Conclusions: The high prevalence of antibiotic prescription was related to a predominance of empirical regimens and antibiotics belonging to the WHO Watch classification. High variability of doses and large deviations of PDD from DDD for meropenem, teicoplanin, and tigecycline was observed, suggesting that DDD may be insufficient to monitor the consumption of these antibiotics in the ICU population. The variability of doses found for the most prescribed antibiotics suggests the need for monitoring and intervention targets for antibiotic stewardship teams.

Harmonization and standardization of data for a pan-European cohort on SARS- CoV-2 pandemic

The European project ORCHESTRA intends to create a new pan-European cohort to rapidly advance the knowledge of the effects and treatment of COVID-19. Establishing processes that facilitate the merging of heterogeneous clusters of retrospective data was an essential challenge. In addition, data from new ORCHESTRA prospective studies have to be compatible with earlier collected information to be efficiently combined. In this article, we describe how we utilized and contributed to existing standard terminologies to create consistent semantic representation of over 2500 COVID-19-related variables taken from three ORCHESTRA studies. The goal is to enable the semantic interoperability of data within the existing project studies and to create a common basis of standardized elements available for the design of new COVID-19 studies. We also identified 743 variables that were commonly used in two of the three prospective ORCHESTRA studies and can therefore be directly combined for analysis purposes. Additionally, we actively contributed to global interoperability by submitting new concept requests to the terminology Standards Development Organizations.

Evaluation of prescribing pattern, therapeutic adherence, and occurrence of adverse drug reactions in patients with type 2 diabetes mellitus

Background:

Persistent hyperglycemia in diabetes mellitus (DM) is considered as the leading cause of morbidity and mortality associated with both microvascular and macrovascular complications and has a greater economic impact. This study aimed to assess the impact of socioeconomic status, prescribing patterns, and patient compliance in type 2 diabetes mellitus patients.

Method:

This study was carried out in the department of medicine and diabetic clinic of Hakeem Abdul Hameed (HAH) Centenary Hospital at Hamdard University, New Delhi, India. We conducted a prospective observational study on prescribing patterns and monitoring of adverse drug reactions (ADRs) in patients with type 2 DM (T2DM) taking standard care. We enrolled 150 confirmed cases and data was obtained from pre-validated questionnaires and then coded and analyzed to observe the association between variables.

Results:

The glycosylated haemoglobin level in 56 % of cases was between 6.4 to 8.0 and cardiovascular complications were observed as the major comorbidities. 45.33 % of cases were on mono drug therapy and Metformin (23. 52 %) was the drug of choice followed by Glimepiride (23.52 %). Among the dual drug therapies, Sitagliptin with Metformin and in triple-drug therapy, Glimepiride concurrent with Metformin and Voglibose was the most preferred drug in the treatment of T2DM. Sitagliptin was observed to be a major patient burden (46.213 USD). In only 7.33 % of cases, we observed definite ADR in T2DM patients. Underprivileged awareness, mainly due to low literacy, was a major concern in the development of new cases of T2DM.

Conclusion:

We observed better patient compliance and disease awareness program is required to be implemented. The use of oral hypoglycaemic drugs is still dominant in clinical practice and cardiovascular disorders as comorbidities emerge as a greater challenge in terms of patient outcome and cost burden.

Effective Clinical Pathway Improves Interprofessional Collaboration and Reduces Antibiotics Prophylaxis Use in Orthopedic Surgery in Hospitals in Indonesia

Clinical pathways can improve the quality of health services. The effectiveness and impact of implementing clinical pathways are controversial. The preparation of clinical pathways not only enacts therapeutic guidelines but requires mutual agreement in accordance with the roles, duties, and contributions of each profession in the team. This study aimed to investigate the perception of interprofessional collaboration practices and the impact of clinical pathway implementation on collaborative and Defined Daily Dose (DDD) prophylactic antibiotics per 100 bed-days in orthopedic surgery. The Collaborative Practice Assessment Tool (CPAT) questionnaire was used as a tool to measure healthcare’ perceptions of collaborative practice. The clinical pathway (CP) in this study was adapted from existing CPs published by the Indonesian Orthopaedic Association (Perhimpunan Dokter Spesialis Orthopaedi dan Traumatologi Indonesia, PABOI) and was commended by local domestic surgeons and orthopedic bodies. We then compared post-implementation results with pre-implementation clinical pathway data using ANCOVA to explore our categorical data and its influence towards CPAT response. ANOVA was then employed for aggregated DDD per 100 bed-days to compare pre and post intervention. The results showed that the relationships among members were associated with the working length. Six to ten years of working had a significantly better relationship among members than those who have worked one to five years. Interestingly, pharmacists’ leadership score was significantly lower than other professions. The clinical pathway implementation reduced barriers in team collaboration, improved team coordination and organization, and reduced third-generation cephalosporin use for prophylaxis in surgery (pre: 59 DDD per 100 bed-days; post: 28 DDD per 100 bed-days). This shows that the clinical pathway could benefit antibiotic stewardship in improving antibiotic prescription, therefore reducing the incidence of resistant bacteria.