A vigilancia farmacológica no cenário brasileiro do sáculo 21 / Pharmacological surveillance in the Brazilian scenario of the 21st century / La vigilancia farmacológica en el escenario brasileño del siglo XXI

Resumo Os estudos em vigilancia farmacológica e ecofarmacológicas possibilitam o monitoramento, identificagao e minimi-zagao de efeitos nocivos advindos do uso de medicamentos. Diante disso, o presente estudo teve como objetivo descrever o cenário atual da farmacoepidemiologia e ecofarmacovigilancia no Brasil, no que se refere a produgao, registro, comerciali-zagao e uso de medicamentos. Foi realizado um levantamento sistemático, através dos bancos de dados PubMed/Medline, Lilacs e SciELO, cuja temática envolveu pesquisas em farmacoeconomia, farmacovigilancia, ecofarmacovigilancia e estudo da utilizagao de medicamentos no Brasil de 2001 a 2019. As publicagóes distribuíram-se de forma desigual entre as regióes brasileiras. Pacientes hipertensos, oncológicos e as gestantes foram os grupos de risco mais citados e os antimicrobianos, psicotrópicos e antineoplásicos os grupos farmacológicos mais discutidos. Custo de cuidados em saúde foi a temática mais abordada no contexto da farmacoeconomia e grande parte dos trabalhos destinou-se a análise e obtengao de dados referentes ao uso de medicamentos e suas reagóes adversas. Em relagao a ecofarmacovigilancia nao foram encontradas publicagóes no Brasil que contemplem essa área. Apesar dos avangos da legislagao farmacoepidemiológica e melhorias nos processos de fiscalizagao, no que tange a vigilancia da produgao, registro, comercializagao e uso de medicamentos, ainda permanecem carencias, quanto ao aporte de uma visao científica direcionada, sobretudo ao gerenciamento e diferentes usos dos recursos terapéuticos, e económicos do sistema de saúde brasileiro, bem como uma visao ambiental referente ao uso de medicamentos.

Abstract Studies in pharmacological and ecopharmacological surveillance make it possible to monitor, identify and minimize harmful effects arising from the use of drugs. Therefore, the present study aimed to describe the current scenario of pharmacoepidemiology and ecopharmacovigilance in Brazil, about the production, registration, marketing, and use of medicines. A systematic survey was carried out through the PubMed/Medline, Lilacs, and SciELO databases, whose theme involved research in pharmacoeconomics, pharmacovigilance, ecopharmacovigilance, and the study of drug use in Brazil from 2001 to 2019. Publications were unevenly distributed between Brazilian regions. Hypertensive patients, cancer patients, and pregnant women were the most cited risk groups, and antimicrobials, psychotropics, and antineoplastics were the most discussed pharmacological groups. Cost of health care was the most discussed topic in the context of pharmacoeconomics and most of the work was aimed at analyzing and obtaining data regarding the use of drugs and their adverse reactions. Regarding ecopharmacovigilance, no publications were found in Brazil covering this area. Despite advances in pharmacoepidemiological legislation and improvements in inspection processes, regarding the surveillance of the production, registration, commercialization, and use of medicines, there are still gaps regarding the contribution of a directed scientific vision, especially to the management and different uses of resources. therapeutic and economic aspects of the Brazilian health system, as well as an environmental vision regarding the use of medicines.

Resumen Los estudios de vigilancia farmacológica y ecofarmacológica permiten controlar, identificar y minimizar los efectos nocivos derivados del uso de los medicamentos. Ante esto, el presente estudio tuvo como objetivo describir el escenario actual de la farmacoepidemiología y la ecofarmacovigilancia en Brasil, en relación con la producción, el registro, la comercialización y el uso de los medicamentos. Se realizó una encuesta sistemática, a través de las bases de datos PubMed/Medline, Lilacs y SciELO, cuya temática involucró investigaciones sobre farmacoepidemiología, farmacovigilancia, ecofarmacovigilancia y estudio del uso de medicamentos en Brasil desde 2001 hasta 2019. Las publicaciones se distribuyeron de forma desigual entre las regiones brasileñas. Los pacientes hipertensos, los pacientes oncológicos y las mujeres embarazadas fueron los grupos de riesgo más citados y los antimicrobianos, los psicotrópicos y los antineoplásicos fueron los grupos farmacológicos más discutidos. El coste de la asistencia sanitaria fue el tema más abordado en el contexto de la farmacoeconomía y la mayoría de los trabajos estaban dirigidos a analizar y obtener datos sobre el uso de los medicamentos y sus reacciones adversas. En cuanto a la ecofarmacovigilancia, no se encontraron publicaciones en Brasil que aborden esta área. A pesar de los avances en la legislación farmacoepidemiológica y de las mejoras en los procesos de inspección, en lo que respecta a la vigilancia de la producción, registro, comercialización y uso de los medicamentos, todavía falta una visión científica dirigida, sobre todo, a la gestión y a los diferentes usos de los recursos terapéuticos y económicos del sistema de salud brasileño, así como una visión ambiental en cuanto al uso de los medicamentos.

Free acquisition of psychotropic drugs by the Brazilian adult population and presence on the National List of Essential Medicines

Abstract The aims of the present study were to estimate the free-of-charge acquisition of psychotropic drugs among Brazilian adults; analyze the distribution of psychotropics according to their presence on the Relação Nacional de Medicamentos Essenciais (RENAME [National List of Essential Medicines]) and acquisition according to the source of funding (free of charge or direct payment); and estimate the proportion of free-of-charge psychotropic drugs according to therapeutic class and presence on the RENAME. This study involved the analysis of data from the 2014 National Survey on the Accessibility, Use and Promotion of the Rational Use of Medicines considering psychotropic drugs used by the adult population (≥20 years; n = 32,348). The prevalence of the acquisition of free-of-charge psychotropic drugs was 53.3% and 64.6% of these drugs were on the RENAME. Among the psychotropic drugs acquired by direct payment, 70.8% were not on the national list. Regarding free-of-charge acquisition according to the therapeutic class and presence on the RENAME, differences were found for antidepressants, anxiolytics and antipsychotics (p <0.05). In conclusion, the most used psychotropic medicines were listed in the RENAME, but free-of-charge acquisition was not provided for all of them

Anticholinergic burden: First comprehensive analysis using claims data shows large variation by age and sex.

PURPOSE: The cumulative effect of medication inhibiting acetylcholine activity-also known as anticholinergic burden (AB)-can lead to functional and cognitive decline, falls, and death. Given that studies on the population prevalence of AB are rare, we aimed to describe it in a large and unselected population sample. METHODS: Using the German Pharmacoepidemiological Research Database (GePaRD) with claims data from ~20% of the German population we analyzed outpatient drug dispensations in 2016. Based on the Anticholinergic Cognitive Burden (ACB) scale, we classified persons into four categories and determined the cumulative AB as continuous variable. RESULTS: Among 16,470,946 persons (54% female), the prevalence of clinically relevant AB (ACB≥3) was 10% (women) and 7% (men). Below age 40 it was highest in persons ≤18 years (6% both sexes). At older ages (50-59 vs. 90-99 years), prevalence of ACB≥3 increased from 7% to 26% (men) and from 10% to 32% (women). Medication classes contributing to the cumulative AB differed by age: antihistamines, antibiotics, glucocorticoids (≤19 years), antidepressants (20-49 years), antidepressants, cardiovascular medication, antidiabetics (50-64 years), and additionally medication for urinary incontinence/overactive bladder (≥65 years). Medication dispensed by general physicians contributed most to the cumulative AB. CONCLUSION: Although a clinically relevant AB is particularly common in older persons, prevalence in younger age groups was up to 7%. Given the risks associated with AB in older persons, targeted interventions at the prescriber level are needed. Furthermore, risks associated with AB in younger persons should be explored.

A systematic assessment of the association between frequently prescribed medicines and the risk of common cancers: a series of nested case-control studies.

BACKGROUND: Studies systematically screening medications have successfully identified prescription medicines associated with cancer risk. However, adjustment for confounding factors in these studies has been limited. We therefore investigated the association between frequently prescribed medicines and the risk of common cancers adjusting for a range of confounders. METHODS: A series of nested case-control studies were undertaken using the Primary Care Clinical Informatics Unit Research (PCCIUR) database containing general practice (GP) records from Scotland. Cancer cases at 22 cancer sites, diagnosed between 1999 and 2011, were identified from GP records and matched with up to five controls (based on age, gender, GP practice and date of registration). Odds ratios (OR) and 95% confidence intervals (CI) comparing any versus no prescriptions for each of the most commonly prescribed medicines, identified from prescription records, were calculated using conditional logistic regression, adjusting for comorbidities. Additional analyses adjusted for smoking use. An association was considered a signal based upon the magnitude of its adjusted OR, p-value and evidence of an exposure-response relationship. Supplementary analyses were undertaken comparing 6 or more prescriptions versus less than 6 for each medicine. RESULTS: Overall, 62,109 cases and 276,580 controls were included in the analyses and a total of 5622 medication-cancer associations were studied across the 22 cancer sites. After adjusting for comorbidities 2060 medicine-cancer associations for any prescription had adjusted ORs greater than 1.25 (or less than 0.8), 214 had a corresponding p-value less than or equal to 0.01 and 118 had evidence of an exposure-dose relationship hence meeting the criteria for a signal. Seventy-seven signals were identified after additionally adjusting for smoking. Based upon an exposure of 6 or more prescriptions, there were 118 signals after adjusting for comorbidities and 82 after additionally adjusting for smoking. CONCLUSIONS: In this study a number of novel associations between medicine and cancer were identified which require further clinical and epidemiological investigation. The majority of medicines were not associated with an altered cancer risk and many identified signals reflected known associations between medicine and cancer.

Prevalence and factors associated with the consumption of folic acid and iron in pregnant women in the BRISA cohort / Prevalência e fatores associados ao uso de ácido fólico e ferro em gestantes da coorte BRISA

Abstract Objectives: to describe the prevalence and factors associated with the consumption of folic acid and iron among puerperal women in the city of São Luís, Maranhão. Methods: a cross-sectional study with 4,036 puerperal women through a standardized questionnaire. The dependent variables (outcomes) were: the consumption of folic acid during pregnancy, iron and folic acid before pregnancy. The independent variables: age; schooling; skin color; marital status; income; planned pregnancy; place and number of prenatal consultations. Statistical analyzes were performed on STATA 14.0. For the first two outcomes, Poisson model with a robust variance was used. And for the last one, logistic regression. Results: the prevalence of consuming folic acid and iron during pregnancy were, respec-tively, 77.27% and 84.98%. However, only 0.37% reported the consume of folic acid and iron before pregnancy. In the adjusted analysis, the variables associated with the consumption of folic acid during pregnancy were: schooling and income; the consume of iron during preg-nancy, age only; and for those who consumed folic acid before pregnancy, no variable was statistically significant. Conclusions: high percentage of puerperal women who consumed folic acid and iron supplements during pregnancy, however, the recommended consumption of folic acid before pregnancy was low and maternal, social and economic factors influence the consumption of these supplements.

Resumo Objetivos: descrever prevalência e fatores associados ao uso deácido fólico e ferro entre puérperas do município de São Luís, Maranhão. Métodos: estudo transversal com 4.036 puérperas através de questionário padronizado. As variáveis dependentes (desfechos) foram: uso durante a gestação de ácido fólico, ferro e ácido fólico antes da gestação. As variáveis independentes: idade; escolaridade; cor da pele; situação conjugal; renda; gravidez planejada; local e número de consultas do pré-natal. As análises estatísticas foram realizadas no STATA 14.0. Para os dois primeiros desfechos, utilizou-se modelo de Poisson com variância robusta. Para o último, regressão logística. Resultados: a prevalência do uso de ácido fólico e ferro durante a gestação foram, respectivamente, 77,27% e 84,98%. Entretanto, apenas 0,37% declararam uso antes da gestação. Na análise ajustada, as variáveis associadas com uso de ácido fólico durante a gestação foram: escolaridadee renda; parausode ferro durante a gestação, apenas a idade; e para as que fizeram uso de ácido fólico antes da gestação, nenhuma variável mostrou-se estatisticamente significativa. Conclusões: alto percentual de puérperas fez uso de suplementos de ácido fólico e ferro-durante a gestação, porém o uso recomendado de ácido fólico antes da gestação mostrou-se baixo e que fatores maternos, sociais e econômicos influenciam no consumo destes suple-mentos.

Pharmacoepidemiology of testosterone: Impact of reimbursement policy on curbing off-label prescribing.

OBJECTIVES: To estimate the impact on testosterone prescribing over 3 years following the 2015 tightening of Pharmaceutical Benefits Scheme (PBS) criteria. DESIGN: Analysis of testosterone prescribing data from PBS and private (non-PBS) sources between 2012 and 2018 covering 2015 change in PBS prescribing criteria. MAIN OUTCOME MEASURES: New and total PBS testosterone prescriptions estimating usage by quarter analyzed by product type, patient age-group, indication and prescriber type. Total national testosterone prescriptions (private plus PBS) was verified from an independent data supplier (IQVIA). RESULTS: PBS usage peaked in 2014 declining by 30% in 2017-8 with PBS prescribing covering a fall from 97.6% by usage in 2014 to 74% in 2017-18 of all testosterone prescribing. The tighter 2015 PBS restrictions sustained the selective reduction in GP initiation of prescriptions for middle-aged men without pathological hypogonadism whereas specialist initiations and prescription for adult hypogonadism or pediatric/prepubertal indications were largely unaffected. CONCLUSIONS: The tightening of PBS criteria from 1 April 2015 to curb off-label prescribing remained effective and selective over 3 years yet total national testosterone prescribing continued with little change, reflecting a shift to private prescriptions. The continuation of off-label testosterone prescribing for unproven indications suggests that long-term androgen dependence is created in men without pathological hypogonadism who commence testosterone. This highlights the need to avoid prescribing testosterone to men without pathological hypogonadism in the absence of sound evidence of efficacy and safety, the latter including the little unrecognized risks of long-term androgen dependency when trying to quit.

Spillover effects of state medicaid antipsychotic prior authorization policies in US commercially insured youth.

PURPOSE: To evaluate spillover effects of Medicaid antipsychotic prior authorization (PA) policies among commercially insured youth. METHODS: Commercially insured youth residing in nine US states that implemented PA exclusively for antipsychotics in 2011 or 2012 were identified using a 10% random sample of enrollees in the IQVIA PharMetrics Plus database spanning 2007 to 2015. Youth were included if they were ≤18 years, met the age criteria of the PA at the time of dispensing, and had at least 1 month of prescription drug coverage from 2007 to 2015. The primary outcome of interest was the monthly prevalence of antipsychotics. We implemented segmented regression of interrupted time series analysis to estimate changes in the monthly prevalence of targeted medications, overall and stratified by age. Trends were compared in the 4-year period before and the 3-year period after implementation of PA policies. RESULTS: Antipsychotics prescribing significantly decreased 6.74/10 000 (95% CI, -9.04 to -4.44) enrollees per month immediately after PA implementation. However, PA was not associated with significant long-term trend changes (-0.06; 95% CI, -0.16 to 0.03). Antipsychotic prescribing in children <12 years-old significantly decreased 0.14/10 000 (95% CI, -0.21 to -0.07) enrollees per month after PA implementation, while prescribing in adolescents 12 to 18 years-old significantly increased 0.32/10 000 (95% CI, 0.16 to 0.47) enrollees per month. CONCLUSION: While Medicaid PA polices for antipsychotic oversight did not affect overall prescribing, there were spillover effects in U.S. commercially insured children <12 years-old. This suggests that state-level Medicaid policies intended to improve the quality of care and safe use of antipsychotics can have broad reach.

Empirical assessment of case-based methods for drug safety alert identification in the French National Healthcare System database (SNDS): Methodology of the ALCAPONE project.

OBJECTIVES: To introduce the methodology of the ALCAPONE project. BACKGROUND: The French National Healthcare System Database (SNDS), covering 99% of the French population, provides a potentially valuable opportunity for drug safety alert generation. ALCAPONE aimed to assess empirically in the SNDS case-based designs for alert generation related to four health outcomes of interest. METHODS: ALCAPONE used a reference set adapted from observational medical outcomes partnership (OMOP) and Exploring and Understanding Adverse Drug Reactions (EU-ADR) project, with four outcomes-acute liver injury (ALI), myocardial infarction (MI), acute kidney injury (AKI), and upper gastrointestinal bleeding (UGIB)-and positive and negative drug controls. ALCAPONE consisted of four main phases: (1) data preparation to fit the OMOP Common Data Model and select the drug controls; (2) detection of the selected controls via three case-based designs: case-population, case-control, and self-controlled case series, including design variants (varying risk window, adjustment strategy, etc.); (3) comparison of design variant performance (area under the ROC curve, mean square error, etc.); and (4) selection of the optimal design variants and their calibration for each outcome. RESULTS: Over 2009-2014, 5225 cases of ALI, 354 109 MI, 12 633 AKI, and 156 057 UGIB were identified using specific definitions. The number of detectable drugs ranged from 61 for MI to 25 for ALI. Design variants generated more than 50 000 points estimates. Results by outcome will be published in forthcoming papers. CONCLUSIONS: ALCAPONE has shown the interest of the empirical assessment of pharmacoepidemiological approaches for drug safety alert generation and may encourage other researchers to do the same in other databases.

Quantifying how small variations in design elements affect risk in an incident cohort study in claims.

BACKGROUND: Epidemiological study reporting is improving but is not transparent enough for easy evaluation or replication. One barrier is insufficient details about design elements in published studies. METHODS: Using a previously conducted drug safety evaluation in claims as a test case, we investigated the impact of small changes in five key design elements on risk estimation. These elements are index day of incident exposure's determination of look-back or follow-up periods, exposure duration algorithms, heparin exposure exclusion, propensity score model variables, and Cox proportional hazard model stratification. We covaried these elements using a fractional factorial design, resulting in 24 risk estimates for one outcome. We repeated eight of these combinations for two additional outcomes. We measured design effects on cohort sizes, follow-up time, and risk estimates. RESULTS: Small changes in specifications of index day and exposure algorithm affected the risk estimation process the most. They affected cohort size on average by 8 to 10%, follow-up time by up to 31%, and magnitude of log hazard ratios by up to 0.22. Other elements affected cohort before matching or risk estimate's precision but not its magnitude. Any change in design substantially altered the matched control-group subjects in 1:1 matching. CONCLUSIONS: Exposure-related design elements require attention from investigators initiating, evaluating, or wishing to replicate a study or from analysts standardizing definitions. The methods we developed, using factorial design and mapping design effect on causal estimation process, are applicable to planning of sensitivity analyses in similar studies.

An empirical assessment of immeasurable time bias in the setting of nested case-control studies: Statins and all-cause mortality among patients with heart failure.

PURPOSE: Immeasurable time bias exaggerates drug benefits in pharmacoepidemiologic studies due to exposure misclassification that occurs due to the lack of inpatient drug data in many healthcare databases. METHODS: To estimate the magnitude of immeasurable time bias and assess potential approaches to minimize it, we conducted a nested case-control study of statin use and mortality among heart failure patients using the South Korean nationwide healthcare database, which contains both inpatient and outpatient medication data. Using both inpatient and outpatient medication data to define the gold standard exposure definition, we assessed 10 different analytical methods in which exposure was defined using outpatient medication data only. We compared different methodological approaches to reduce immeasurable time bias: restricting to nonhospitalized patients, adjusting for hospitalization, weighting by either measurable time (nonhospitalized time during 90-d period) or outpatient time, and computing the odds ratios (ORs) using 90-day cumulative probability of exposure produced by the Kaplan-Meier product-limit estimator for cases and controls. RESULTS: The three approaches that most closely approximated the gold standard (hazard ratio [HR] 1.20; 95% confidence interval [CI], 1.05-1.37) were weighting by either measurable (HR 1.09; 95% CI, 0.92-1.28) or outpatient time (HR 1.14; 95% CI, 0.96-1.34) in the unexposed or by estimating the 90-day exposure probability (HR 1.31; 95% CI, 1.11-1.51). CONCLUSION: The use of one of these three methods may be suggested as an approach to minimize immeasurable time bias in nested case-control studies.

Use of propensity score and disease risk score for multiple treatments with time-to-event outcome: a simulation study.

Propensity score (PS) and disease risk score (DRS) are often used in pharmacoepidemiologic safety studies. Methods of applying these two balancing scores are extensively studied in binary treatment settings. However, the use of PS and DRS is not well understood in the case of non-ordinal multiple treatments. Some PS methods of multiple treatments have been implemented since the theoretical establishment. Nevertheless, most of the work applies to continuous or binary outcomes. Little work has been done for time-to-event outcomes. In this study, we extend the application of the PS and DRS methods to time-to-event outcomes in multiple treatment settings. The analytical approaches include weighing, matching, stratification, and regression. Simulation studies with rare event rates are conducted to evaluate the performances of different methods. Different treatment-covariates and outcome-covariates strength of associations are considered. Additionally, the impacts of imbalanced designs and large or limited PS overlaps are investigated on various analytical approaches. We found that the inverse probability treatment weighting with bootstrap variance estimator, the generalized PS matching, and the Cox regression estimated DRS in full cohort generally performed well in multiple treatment settings. This study aims to provide additional guidance for researchers on PS and DRS analyses in pharmacoepidemiologic observational studies.

Quantifying bias reduction with fixed-duration versus all-available covariate assessment periods.

PURPOSE: Implementing a cohort study in longitudinal healthcare databases requires looking back over some covariate assessment period (CAP) preceding cohort entry to measure confounders. We used simulations to compare fixed-duration versus all-available CAPs for confounder adjustment in the presence of differences in available baseline time between exposure groups. METHODS: We simulated cohorts of 10 000 patients with binary variables for a single confounder, exposure, and outcome. Baseline time was simulated based on the observed distribution in a claims-based comparison of statin users versus nonusers. We compared bias after measuring confounders using fixed-duration and all-available CAPs, both when exposure groups had similar and discrepant amounts of available baseline time. RESULTS: When the comparison groups had similar amounts of baseline time, an all-available CAP was less biased than a fixed-duration CAP. When baseline time differed between comparison groups, the preferable CAP approach depended on the direction of confounding and which exposure group had higher covariate sensitivity. These findings were consistent in direction across sensitivity analyses. CONCLUSION: In certain settings of differential available baseline time between exposure groups, the all-available CAP was more biased than the fixed-duration CAP. The relative directions and strengths of confounding and misclassification biases are an important consideration when choosing between a fixed-duration or all-available CAP, but they are often unknown. Therefore, we recommend comparing the amount of available baseline time between exposure groups. When there is a large discrepancy, despite appropriate design choices, we recommend a fixed-duration approach to avoid potential increases in bias because of differential data availability.

Polydrug epidemiology: Benzodiazepine prescribing and the drug overdose epidemic in the United States.

BACKGROUND: Although polydrug incidents comprise a substantial proportion of overdose deaths, scholarly and popular focus has centered on prescription opiates. This study examines the role of benzodiazepine and opioid prescriptions on overdose-both individually and synergistically-using data from Medicare Part D, a source of prescription drug claims for about 35 million Americans. METHODS: Prescribing data from the Medicare Part D Public Use Files for 2013, 2014, and 2015 (approximately 3.5 billion prescription drug claims) are geolocated using the prescriber's national provider identifier to calculate the proportion of claims for opioids and benzodiazepines in each county. These rates are matched with overdose data and controls to compile an analytic dataset of 9105 county-years. Multinomial logistic regression is used to estimate the probability that a county experiences higher rates of overdose fatalities. RESULTS: A 1% increase in the benzodiazepine proportion of claims is associated with 1.2 odds of high, versus low, overdose (P < .1) and 1.4 odds of very high overdose (P < .05). Moreover, there was a substantial interaction between opioids and benzodiazepines (P < .001). A county with 6% benzodiazepine prescriptions and 12% opioid prescriptions has a .58 predicted probability of very high overdose, significantly higher (P < .001) than the .33 probability for a county with 12% opioid prescriptions but 3% benzodiazepine prescriptions. CONCLUSION: These findings shed light on the polydrug epidemiology of the overdose epidemic. Overdose deaths are highest where elevated opioid and benzodiazepine claims coexist. Overdose levels may reflect polydrug use and misuse, requiring clinical and policy responses beyond reducing opioid prescriptions.

Pharmacoepidemiology of testosterone: Curbing off-label prescribing.

OBJECTIVES: To estimate the impact of the first year of new Pharmaceutical Benefits Scheme (PBS) prescribing criteria that dictate eligibility for national health scheme subsidy of testosterone prescribing. DESIGN: Analysis of cumulative PBS data. SETTING: Retrospective analysis of testosterone prescribing from PBS data. PARTICIPANTS: Nil MAIN OUTCOME MEASURES: PBS expenditure analysed by total expenditure, by state, and by product type as well as the age, indication, and prescriber type for new testosterone treatment. RESULTS: Total PBS expenditure continued to exceed $20 million in 2014 before declining from 2015 with changes that were uniform by state and product type. Prior to 2015, over 80% were for men aged over 40 years of age for low circulating testosterone in the absence of reproductive system disorders ("Low T") initiated by GPs. From 2015, these features were markedly reduced without changing the numbers of new prescriptions for pathological reproductive disorders or specialist initiations. CONCLUSIONS: The short-term impact of 2015 PBS criteria showed highly effective and well-targeted curbing of off-label testosterone prescribing. The findings indicate that the main driver for the recent upsurge in testosterone prescribing was treatment of middle-aged men for "Low T" initiated by GPs.

The national healthcare system claims databases in France, SNIIRAM and EGB: Powerful tools for pharmacoepidemiology.

The French health care system is based on universal coverage by one of several health care insurance plans. The SNIIRAM database merges anonymous information of reimbursed claims from all these plans, linked to the national hospital-discharge summaries database system (PMSI) and the national death registry. It now covers 98.8% of the French population, over 66 million persons, from birth (or immigration) to death (or emigration), making it possibly the world's largest continuous homogeneous claims database. The database includes demographic data; health care encounters such as physician or paramedical visits, medicines, medical devices, and lab tests (without results); chronic medical conditions (ICD10 codes); hospitalisations with ICD10 codes for primary, linked and associated diagnoses, date and duration, procedures, diagnostic-related groups, and cost coding; date but currently not cause of death. The power of the database is correlatively great, and its representativeness is near perfect, since it essentially includes the whole country's population. The main difficulty in using the database, beyond its sheer size and complexity, is the administrative process necessary to access it. Recent legislative advances are making this easier. EGB (Echantillon Généraliste de Bénéficiaires) is the 1/97th random permanent representative sample of SNIIRAM, with planned 20-year longitudinal data (10 years at this time). Access time is 1 to 3 months, but its power is less (780 000 subjects). This is enough to study common issues with older drugs but may be limited for new products or rare events.

Effects of expanding the look-back period to all available data in the assessment of covariates.

BACKGROUND: A fixed baseline period has been a common covariate assessment approach in pharmacoepidemiological studies from claims but may lead to high levels of covariate misclassification. Simulation studies have recommended expanding the look-back approach to all available data (AAD) for binary indicators of diagnoses, procedures, and medications, but there have been few real data analyses using this approach. OBJECTIVE: The objective of the study is to explore the impact on treatment effect estimates and covariate prevalence of expanding the look-back period within five validated studies in the Aetion system, a rapid cycle analytics platform. METHODS: We reran the five studies and assessed covariates using (i) a fixed window approach (usually 180 days before treatment initiation), (ii) AAD prior to treatment initiation, and (iii) AAD with a categorized by recency approach, where the most recent occurrence of a covariate was labeled as recent (occurring within the fixed window) or past (before the start of the fixed window). For each covariate assessment approach, we adjusted for covariates via propensity score matching. RESULTS: All studies had at least one covariate that had an increase in prevalence of 15% or higher from the fixed window to the AAD approach. However, there was little change in treatment effect estimates resulting from differing covariate assessment approaches. For example, in a study of acute coronary syndrome in high-intensity versus low-intensity statin users, the estimated hazard ratio from the fixed window approach was 1.11 (95% confidence interval 0.98, 1.25) versus 1.21 (1.07, 1.37) when using AAD and 1.19 (1.05, 1.35) using categorized by recency. CONCLUSION: Expanding the baseline period to AAD improved covariate sensitivity by capturing data that would otherwise be missed yet did not meaningfully change the overall treatment effect estimates compared with the fixed window approach. Copyright © 2017 John Wiley & Sons, Ltd.

Making Medication Data Meaningful: Illustrated with Hypertension.

We demonstrate, with application to hypertension management, an algorithm for reconstructing therapeutic decisions from electronic primary care medication prescribing records. These decisions concern the initiation, termination and alteration of therapy, and have further utility in: monitoring patient adherence to medication; care pathway analysis including process mining; advanced phenotype construction; audit and feedback; and in measuring care quality.

Association of Proton Pump Inhibitors With Risk of Dementia: A Pharmacoepidemiological Claims Data Analysis.

IMPORTANCE: Medications that influence the risk of dementia in the elderly can be relevant for dementia prevention. Proton pump inhibitors (PPIs) are widely used for the treatment of gastrointestinal diseases but have also been shown to be potentially involved in cognitive decline. OBJECTIVE: To examine the association between the use of PPIs and the risk of incident dementia in the elderly. DESIGN, SETTING, AND PARTICIPANTS: We conducted a prospective cohort study using observational data from 2004 to 2011, derived from the largest German statutory health insurer, Allgemeine Ortskrankenkassen (AOK). Data on inpatient and outpatient diagnoses (coded by the German modification of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision) and drug prescriptions (categorized according to the Anatomical Therapeutic Chemical Classification System) were available on a quarterly basis. Data analysis was performed from August to November 2015. EXPOSURES: Prescription of omeprazole, pantoprazole, lansoprazole, esomeprazole, or rabeprazole. MAIN OUTCOMES AND MEASURES: The main outcome was a diagnosis of incident dementia coded by the German modification of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. The association between PPI use and dementia was analyzed using time-dependent Cox regression. The model was adjusted for potential confounding factors, including age, sex, comorbidities, and polypharmacy. RESULTS: A total of 73,679 participants 75 years of age or older and free of dementia at baseline were analyzed. The patients receiving regular PPI medication (n = 2950; mean [SD] age, 83.8 [5.4] years; 77.9% female) had a significantly increased risk of incident dementia compared with the patients not receiving PPI medication (n = 70,729; mean [SD] age, 83.0 [5.6] years; 73.6% female) (hazard ratio, 1.44 [95% CI, 1.36-1.52]; P < .001). CONCLUSIONS AND RELEVANCE: The avoidance of PPI medication may prevent the development of dementia. This finding is supported by recent pharmacoepidemiological analyses on primary data and is in line with mouse models in which the use of PPIs increased the levels of ß-amyloid in the brains of mice. Randomized, prospective clinical trials are needed to examine this connection in more detail.

Conditions for confounding of interactions.

PURPOSE: Pharmaco-epidemiology increasingly investigates drug-drug or drug-covariate interactions. Yet, conditions for confounding of interactions have not been elucidated. We explored the conditions under which the estimates of interactions in logistic regression are affected by confounding bias. METHODS: We rely on analytical derivations to investigate the conditions and then use simulations to confirm our analytical results and to quantify the impact of selected parameters on the bias of the interaction estimates. RESULTS: Failure to adjust for a risk factor U results in a biased estimate of the interaction between exposures E1 and E2 on a binary outcome Y if the association between U and E1 varies depending on the value of E2. The resulting confounding bias increases with increase in the following: (i) prevalence of confounder U; (ii) strength of U-Y association; and (iii) heterogeneity in the association of E1 with U across the strata of E2. A variable that is not a confounder for the main effects of E1 and E2 may still act as an important confounder for their interaction. CONCLUSIONS: Studies of interactions should attempt to identify-as potential confounders-those risk factors whose associations with one of the exposures in the interaction term may be modified by the other exposure.

Controlling confounding of treatment effects in administrative data in the presence of time-varying baseline confounders.

PURPOSE: Confounding, a concern in nonexperimental research using administrative claims, is nearly ubiquitous in claims-based pharmacoepidemiology studies. A fixed-length look-back window for assessing comorbidity from claims is common, but it may be advantageous to use all historical claims. We assessed how the strength of association between a baseline-identified condition and subsequent mortality varied by when the condition was measured and investigated methods to control for confounding. METHODS: For Medicare beneficiaries undergoing maintenance hemodialysis on 1 January 2008 (n = 222 343), we searched all Medicare claims, 1 January 2001 to 31 December 2007, for four conditions representing chronic and acute diseases, and classified claims by number of months preceding the index date. We used proportional hazard models to estimate the association between time of condition and subsequent mortality. We simulated a confounded comorbidity-exposure relationship and investigated an alternative method of adjustment when the association between the condition and mortality varied by proximity to follow-up start. RESULTS: The magnitude of the mortality hazard ratio estimates for each condition investigated decreased toward unity as time increased between index date and most recent manifestation of the condition. Simulation showed more biased estimates of exposure-outcome associations if proximity to follow-up start was not considered. CONCLUSIONS: Using all-available claims information during a baseline period, we found that for all conditions investigated, the association between a comorbid condition and subsequent mortality varied considerably depending on when the condition was measured. Improved confounding control may be achieved by considering the timing of claims relative to follow-up start.