Principles for Good Practice in the Conduct of Non-interventional Studies: The View of Industry Researchers.

This reflection paper presents a consolidated view of EFPIA on the need for principles for good practice in the generation and use of non-interventional studies (NIS), including overarching principles such as the registration of hypothesis evaluating treatment effect (HETE) studies. We first define NIS and the important adjacencies to clinical trials and relationship with real-world evidence (RWE). We then outline the principles for good practice with respect to appropriate research design, study protocol, fit-for-purpose variables and data quality, analytical methods, bias reduction, transparency in conduct and use, privacy management and ethics review. We conclude with recommendations for action for the research community to promote trust and credibility in the use of NIS.

Dosing Characteristics of Recombinant Human Luteinizing Hormone or Human Menopausal Gonadotrophin-Derived LH Activity in Patients Undergoing Ovarian Stimulation: A German Fertility Database Study.

OBJECTIVES: The aim of the study was to evaluate dosing of recombinant human luteinizing hormone (r-hLH) or human menopausal gonadotrophin (hMG)-derived medications with LH activity in ovarian stimulation (OS) cycles for in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI). DESIGN: A non-interventional study was performed to analyse data from the German RecDate database (January 2007-December 2011). PARTICIPANTS/MATERIALS, SETTING, METHODS: Starting/total r-hLH/hMG dose, OS duration/cycle number, r-hLH/hMG initiation day (first day of administration), and population/cycle characteristics were assessed in women (≥18 years) undergoing OS for IVF/ICSI using r-hLH or hMG-derived medications (excluding corifollitropin alfa, clomiphene citrate, letrozole, mini/micro-dose human chorionic gonadotrophin, and urofollitropin alone). Data were summarized descriptively. RESULTS: 67,858 identified cycles utilized medications containing r-hLH (10,749), hMG (56,432), or both (677). Mean (standard deviation) OS duration with r-hLH and hMG was 10.1 (4.43) and 9.8 (6.16) days, respectively. Median (25th-75th percentile) r-hLH starting dose (75.0 [75.0-150.0] IU) was consistent across patients regardless of age, infertility diagnosis, or gonadotrophin-releasing hormone (GnRH) protocol. Median (25th-75th percentile) hMG-derived LH activity starting dose was 225.0 (150.0-300.0) IU, regardless of GnRH protocol, but was lower in women aged <35 years and those with ovulation disorders/polycystic ovary syndrome. Median (25th-75th percentile) total dose for r-hLH (750.0 [337.5-1,125.0] IU) and hMG-derived LH activity (1,575.0 [750.0-2,625.0] IU) varied according to patients' age, infertility diagnosis, cycle number, and r-hLH/hMG initiation day. GnRH antagonist use resulted in a numerically higher median total hMG-derived LH activity dose than GnRH agonist use. LIMITATIONS: The data used in this study were taken from electronic medical records relating to a specific timeframe (2007-2011) and therefore may not accurately reflect current clinical practice; however, it is likely that the differences between the two compounds would be maintained. Additionally, secondary data sources may suffer from uniformity and quality issues. CONCLUSIONS: The standard of care for OS cycles is described with respect to IVF/ICSI treatment including an LH component in Germany during the specified timeframe.

Effectiveness of recombinant human FSH: recombinant human LH combination treatment versus recombinant human FSH alone for assisted reproductive technology in women aged 35-40 years.

RESEARCH QUESTION: According to real-world data, is recombinant human FSH (r-hFSH) combined with recombinant human LH (r-hLH) or r-hFSH alone more effective for women of advanced maternal age (AMA) in terms of live birth? DESIGN: Non-interventional study comparing the effectiveness of r-hFSH and recombinant r-hLH (2:1 ratio) versus r-hFSH alone for ovarian stimulation during ART treatment in women aged 35-40 years, using real-world data from the Deutsches IVF-Register. RESULTS: Overall clinical pregnancy (29.8%, 95% CI 28.2 to 31.6 versus 27.8%, 95% CI 26.5 to 29.2) and live birth (20.3%, 95% CI 18.7 to 21.8 versus 18.0%, 95% CI 16.6 to 19.4) rates were not significantly different between the combined r-hFSH and r-hLH group and the r-hFSH alone group (P = 0.269 and P = 0.092, respectively). Treatment effect was significantly higher for combined r-hFSH and r-hLH compared with r-hFSH alone for clinical pregnancy (33.1%, 95% CI 31.0 to 35.0 versus 28.5%, 95% CI 26.6 to 30.4; P = 0.001, not adjusted for multiplicity) and live birth (22.5%, 95% CI 20.5 to 24.2 versus 19.4%, 95% CI 17.6 to 20.9; P = 0.014, not adjusted for multiplicity) in a post-hoc analysis of women with five to 14 oocytes retrieved (used as a surrogate for normal ovarian reserve), highlighting the potential benefits of combined r-hFSH and r-hLH for ovarian stimulation in women aged 35-40 years with normal ovarian reserve. CONCLUSIONS: Women of AMA with normal ovarian response benefit from treatment with combined r-hFSH and r-hLH in a 2:1 ratio versus r-hFSH alone in terms of live birth rate. The effectiveness of treatments is best assessed by RCTs; however, real-world data are valuable for examining the effectiveness of fertility treatment, especially among patient groups that are not well represented in clinical trials.

Incidence of safety events after immune checkpoint inhibitor initiation for advanced-stage non-small-cell lung cancer: a real-world study.

Aim: To describe the incidence of safety events after immune checkpoint inhibitor (ICI) initiation for advanced-stage non-small-cell lung cancer. Methods: Retrospective cohort study using the HealthCore Integrated Research Database in the USA to examine the incidence of prespecified safety events of interest after ICI initiation (n = 5278). Results: The most common safety events after ICI initiation included malaise/fatigue (incidence rate [IR]: 70.7 per 100 person-years; 95% CI: 66.5-75.1) and nausea/vomiting (IR: 32.4; 30.0-34.8). Other potential immune-mediated events, including colitis (IR: 7.11; 6.26-8.04) and pneumonitis (IR: 5.47; 4.76-6.25), were less frequent but higher than after any systemic anti-cancer therapy. No safety event rate substantially increased 6 months after ICI initiation. Conclusion: This large real-world study reports the incidence of safety events with ICI regimens for advanced-stage non-small-cell lung cancer.

Researchers wanted to investigate side effects identified with advanced lung cancer during treatment, particularly immunotherapy. To investigate these side effects, researchers examined health insurance claims records from patients who were diagnosed with advanced lung cancer between January 2010 and July 2019, and who received treatment at various clinics across the USA. Researchers identified records for 44,045 patients treated for advanced lung cancer, with 5278 being treated with immunotherapy. After patients started immunotherapy, the most commonly reported side effects were tiredness and nausea/vomiting. Other side effects possibly related to immunotherapy were inflammation of the large intestine and lung inflammation ­ these events were not reported very often and did not increase in frequency 6 months after start of treatment. This large real-world study provides estimates for the frequency of side effects for those treated for advanced lung cancer, and finds that there were no large increases in the occurrence of any particular side effect in the 6 months after patients started immunotherapy for advanced lung cancer.

Treatment effectiveness in a rare oncology indication: Lessons from an external control cohort study.

Real-world data (RWD) reflecting patient treatment in routine clinical practice can be used to develop external control groups for single-arm trials. External controls can provide valuable benchmark results on potential comparator drug effectiveness, particularly in rare indications when randomized controlled trials are either infeasible or unethical. This paper describes lessons learned from a descriptive real-world external control cohort study conducted to provide benchmark data for a single-arm clinical trial in a rare oncology biomarker driven disease. Conducting external control cohort studies to evaluate treatment effectiveness in rare indications likely will present data and analysis challenges as seen in the example study. However, there are mitigating measures that can be applied in the study design, identification of RWD sources, and data analysis. The lessons learned and reported here with a proposal of an external control study framework can provide guidance for future research in this area, and may be applicable as well in other rare indications. Taking these learnings into consideration, the use of real-world external controls to contextualize treatment effectiveness in rare indications is a valuable approach and warrants further application in the future.

Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital.

PURPOSE: To develop algorithms to identify number of lines of anti-neoplastic therapy per patient based on the Danish National Patient Registry (DNPR) and identify which algorithm has the highest percentage agreement with a reference standard of documentation in medical records. PATIENTS AND METHODS: We included 179 patients diagnosed between January 1, 2012, and December 31, 2016, with stage II, III, or IV urothelial cell carcinoma or stage III or IV epithelial ovarian cancer, gastric adenocarcinoma, renal cell carcinoma, or non-small cell lung cancer (NSCLC). We developed two algorithms for number of lines of anti-neoplastic therapy based on dates and treatment codes (eg, "treatment with cisplatin" or "cytostatic treatment") in the DNPR. First, to denote a change in line of therapy the "Time-based algorithm" used the number of days between consecutive administrations. Second, the "Drug-based algorithm" used information on drug names if available or the number of days between consecutive administrations if no drug names were specified. We calculated the percentage agreement between the algorithms setting the number of allowed days between consecutive administrations from 28 to 50 and the reference standard - information on anti-neoplastic therapy drugs abstracted from medical records and subsequently coded according to lines of anti-neoplastic therapy. RESULTS: For the "Time-based algorithm", the highest percentage agreement with the reference standard was found when using <45 days between consecutive administrations (67.6%; 95% CI: 60.1-73.8%). However, the percentage agreement was higher for the "Drug-based algorithm" using <45 days between consecutive administrations for registrations where the drug name was unspecified (90.5%; 95% CI: 85.0-93.7%). CONCLUSION: The algorithm for number of lines of anti-neoplastic therapy that had the highest percentage agreement with the reference standard (medical records) incorporated both registration of specific drug names and <45 days between consecutive administrations if the drug name was unspecified in routinely recorded data from DNPR.

Treatment and Survival in Advanced Non-Small Cell Lung Cancer, Urothelial, Ovarian, Gastric and Kidney Cancer: A Nationwide Comprehensive Evaluation.

PURPOSE: Few studies have described real-world treatment patterns and survival before the widespread use of immune checkpoint inhibitors (ICIs). We aimed to describe anti-cancer treatment including the use of programmed cell death-1 and ligand-1 (PD-1/PD-L1) ICIs and overall survival (OS) in advanced cancer patients as a benchmarking real-world standard before widespread use of ICIs. PATIENTS AND METHODS: Using nationwide Danish medical registries, we assembled cohorts of Danish patients with advanced non-small cell lung cancer (NSCLC) (n=12,283), urothelial carcinoma (n=2504), epithelial ovarian cancer (n=1466), gastric adenocarcinoma (n=1457), and renal cell carcinoma (RCC) (n=1261) diagnosed between 1/1/2013 and 31/12/2017. We describe anti-cancer treatment and OS using proportions, medians, and Kaplan-Meier methods. RESULTS: Between 9% (ovarian cancer) and 25% (gastric adenocarcinoma) of patients did not receive anti-cancer treatment. The remaining patients received surgery, radiation therapy, and/or medical therapy. Chemotherapy was the most frequent medical therapy in all cohorts except for RCC (tyrosine kinase inhibitors). PD-L1/PD-1 ICIs were used in 7-8% of the NSCLC and RCC cohorts-mainly as second or higher line treatments. OS was longest in patients starting treatment with surgery (eg 25.6 months [95%-confidence interval (CI)=21.9-29.4] for NSCLC and 21.4 months [95%-CI=19.8-23.5] for urothelial carcinoma) and shortest for radiation therapy (eg 3.9 months [95%-CI=3.6-4.2] for NSCLC and 12.6 months [95%-CI=9.2-17.5] for urothelial carcinoma). NSCLC patients starting with medical therapy had OS between these limits. Median OS for NSCLC patients starting treatment with PD-L1/PD-1 ICIs was 21.4 months (95%-CI=13.9-not estimable). CONCLUSION: Most patients with advanced NSCLC, urothelial carcinoma, epithelial ovarian cancer, gastric adenocarcinoma and RCC had poor OS in an era where only a minority received PD-L1/PD-1 ICIs. This information on treatment patterns and survival is important as a benchmarking real-world standard before widespread use of ICIs.

High-dose corticosteroid use and risk of hospitalization for infection in patients treated with immune checkpoint inhibitors--A nationwide register-based cohort study.

High-dose corticosteroids have been associated with increased risk of serious infection in patients with metastatic melanoma treated with immune checkpoint inhibitors targeting cytotoxic T-lymphocyte antigen 4. This potential association needs to be examined further among patients with other cancer types and for other immune checkpoint inhibitors. We examined whether receipt of high-dose corticosteroids was associated with increased rates of hospitalization for infection among 981 Danish renal, urothelial, and lung cancer patients followed from first administration of programmed death receptor 1 (PD-1)/programmed death ligand 1 (PD-L1) immune checkpoint inhibitors. Our cohort analysis was based on the information from national medical registries. During follow-up, 522 patients (53.2%) initiated treatment with high-dose corticosteroids and 317 patients (32.3%) experienced at least one hospitalization for infection. In analyses adjusted for age, sex, and previous use of chemotherapy/targeted therapy, initiation of high-dose systemic corticosteroids was associated with increased rate of hospitalization for infections (hazard ratio (HR) = 2.96, 95% confidence interval (CI) = 2.41-3.65) even in patients not receiving any chemotherapy/targeted therapy (HR = 3.66, 95% CI = 2.25-5.96). Our findings showed that high-dose corticosteroid initiation is associated with hospitalization for infection in patients treated with PD-1/PD-L1 immune checkpoint inhibitors. Clinicians and patients should be aware of this risk of infection when initiating treatment with high-dose corticosteroids.

Comparative effectiveness of recombinant human follicle-stimulating hormone alfa (r-hFSH-alfa) versus highly purified urinary human menopausal gonadotropin (hMG HP) in assisted reproductive technology (ART) treatments: a non-interventional study in Germany.

BACKGROUND: This study compared the effectiveness of recombinant human follicle-stimulating hormone alfa (r-hFSH-alfa; GONAL-f®) with urinary highly purified human menopausal gonadotropin (hMG HP; Menogon HP®), during assisted reproductive technology (ART) treatments in Germany. METHODS: Data were collected from 71 German fertility centres between 01 January 2007 and 31 December 2012, for women undergoing a first stimulation cycle of ART treatment with r-hFSH-alfa or hMG HP. Primary outcomes were live birth, ongoing pregnancy and clinical pregnancy, based on cumulative data (fresh and frozen-thawed embryo transfers), analysed per patient (pP), per complete cycle (pCC) and per first complete cycle (pFC). Secondary outcomes were pregnancy loss (analysed per clinical pregnancy), cancelled cycles (analysed pCC), total drug usage per oocyte retrieved and time-to-live birth (TTLB; per calendar week and per cycle). RESULTS: Twenty-eight thousand six hundred forty-one women initiated a first treatment cycle (r-hFSH-alfa: 17,725 [61.9%]; hMG HP: 10,916 [38.1%]). After adjustment for confounding variables, treatment with r-hFSH-alfa versus hMG HP was associated with a significantly higher probability of live birth (hazard ratio [HR]-pP [95% confidence interval (CI)]: 1.10 [1.04, 1.16]; HR-pCC [95% CI]: 1.13 [1.08, 1.19]; relative risk [RR]-pFC [95% CI]: 1.09 [1.05, 1.15], ongoing pregnancy (HR-pP [95% CI]: 1.10 [1.04, 1.16]; HR-pCC [95% CI]: 1.13 [1.08, 1.19]; RR-pFC [95% CI]: 1.10 [1.05, 1.15]) and clinical pregnancy (HR-pP [95% CI]: 1.10 [1.05, 1.14]; HR-pCC [95% CI]: 1.14 [1.10, 1.19]; RR-pFC [95% CI]: 1.10 [1.06, 1.14]). Women treated with r-hFSH-alfa versus hMG HP had no statistically significant difference in pregnancy loss (HR [95% CI]: 1.07 [0.98, 1.17], were less likely to have a cycle cancellation (HR [95% CI]: 0.91 [0.84, 0.99]) and had no statistically significant difference in TTLB when measured in weeks (HR [95% CI]: 1.02 [0.97, 1.07]; p = 0.548); however, r-hFSH-alfa was associated with a significantly shorter TTLB when measured in cycles versus hMG HP (HR [95% CI]: 1.07 [1.02, 1.13]; p = 0.003). There was an average of 47% less drug used per oocyte retrieved with r-hFSH-alfa versus hMG HP. CONCLUSIONS: This large (> 28,000 women), real-world study demonstrated significantly higher rates of cumulative live birth, cumulative ongoing pregnancy and cumulative clinical pregnancy with r-hFSH-alfa versus hMG HP.

A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer.

BACKGROUND: Detailed epidemiologic descriptions of large populations of advanced stage ovarian cancer patients have been lacking to date. This study aimed to describe the patient characteristics, treatment patterns, survival, and incidence rates of health outcomes of interest (HOI) in a large cohort of advanced stage ovarian cancer patients in the United States (US). METHODS: This cohort study identified incident advanced stage (III/IV) ovarian cancer patients in the US diagnosed from 2010 to 2018 in the HealthCore Integrated Research Database (HIRD) using a validated predictive model algorithm. Descriptive characteristics were presented overall and by treatment line. The incidence rates and 95% confidence intervals for pre-specified HOIs were evaluated after advanced stage diagnosis. Overall survival, time to treatment discontinuation or death (TTD), and time to next treatment or death (TTNT) were defined using treatment information in claims and linkage with the National Death Index. RESULTS: We identified 12,659 patients with incident advanced stage ovarian cancer during the study period. Most patients undergoing treatment received platinum agents (75%) and/or taxanes (70%). The most common HOIs (> 24 per 100 person-years) included abdominal pain, nausea and vomiting, anemia, and serious infections. The median overall survival from diagnosis was 4.5 years, while approximately half of the treated cohort had a first-line time to treatment discontinuation or death (TTD) within the first 4 months, and a time to next treatment or death (TTNT) from first to second-line of about 6 months. CONCLUSIONS: This study describes commercially insured US patients with advanced stage ovarian cancer from 2010 to 2018, and observed diverse treatment patterns, incidence of numerous HOIs, and limited survival in this population.

Epidemiology of systemic sclerosis and systemic sclerosis-associated interstitial lung disease.

Background: Interstitial lung disease (ILD) is one of the leading causes of mortality in patients with systemic sclerosis (SSc). To further understand this patient population, we present the first systematic review on the epidemiology of SSc and SSc-associated ILD (SSc-ILD). Methods: Bibliographic databases and web sources were searched for studies including patients with SSc and SSc-ILD in Europe and North America (United States and Canada). The systematic review was limited to publications in English, German, French, Spanish, Italian, and Portuguese, published between January 1, 2000 and February 29, 2016. For all publications included in the review, the methodologic quality was assessed. For each dimension and region, data availability in terms of quantity and consistency of reported findings was evaluated. Results: Fifty publications reporting epidemiologic data (prevalence, incidence, demographic profile, and survival and mortality) were included; 39 included patients with SSc and 16 included patients with SSc-ILD. The reported prevalence of SSc was 7.2-33.9 and 13.5-44.3 per 100,000 individuals in Europe and North America, respectively. Annual incidence estimates were 0.6-2.3 and 1.4-5.6 per 100,000 individuals in Europe and North America, respectively. Associated ILD was present in ~35% of the patients in Europe and ~52% of the patients in North America. In Europe, a study estimated the prevalence and annual incidence of SSc-ILD at 1.7-4.2 and 0.1-0.4 per 100,000 individuals, respectively. In both Europe and North America, SSc-ILD was diagnosed at a slightly older age than SSc, with both presentations of the disease affecting 2-3 times more women than men. Ten-year survival in patients with SSc was reported at 65-73% in Europe and 54-82% in North America, with cardiorespiratory manifestations (including ILD) associated with poor prognosis. Conclusion: This systematic review confirms that SSc and SSc-ILD are rare, with geographic variation in prevalence and incidence.

Development of predictive models to identify advanced-stage cancer patients in a US healthcare claims database.

BACKGROUND: Although healthcare databases are a valuable source for real-world oncology data, cancer stage is often lacking. We developed predictive models using claims data to identify metastatic/advanced-stage patients with ovarian cancer, urothelial carcinoma, gastric adenocarcinoma, Merkel cell carcinoma (MCC), and non-small cell lung cancer (NSCLC). METHODS: Patients with ≥1 diagnosis of a cancer of interest were identified in the HealthCore Integrated Research Database (HIRD), a United States (US) healthcare database (2010-2016). Data were linked to three US state cancer registries and the HealthCore Integrated Research Environment Oncology database to identify cancer stage. Predictive models were constructed to estimate the probability of metastatic/advanced stage. Predictors available in the HIRD were identified and coefficients estimated by Least Absolute Shrinkage and Selection Operator (LASSO) regression with cross-validation to control overfitting. Classification error rates and receiver operating characteristic curves were used to select probability thresholds for classifying patients as cases of metastatic/advanced cancer. RESULTS: We used 2723 ovarian cancer, 6522 urothelial carcinoma, 1441 gastric adenocarcinoma, 109 MCC, and 12,373 NSCLC cases of early and metastatic/advanced cancer to develop predictive models. All models had high discrimination (C > 0.85). At thresholds selected for each model, PPVs were all >0.75: ovarian cancer = 0.95 (95% confidence interval [95% CI]: 0.94-0.96), urothelial carcinoma = 0.78 (95% CI: 0.70-0.86), gastric adenocarcinoma = 0.86 (95% CI: 0.83-0.88), MCC = 0.77 (95% CI 0.68-0.89), and NSCLC = 0.91 (95% CI 0.90 - 0.92). CONCLUSION: Predictive modeling was used to identify five types of metastatic/advanced cancer in a healthcare claims database with greater accuracy than previous methods.

The ENCePP Code of Conduct: A best practise for scientific independence and transparency in noninterventional postauthorisation studies.

PURPOSE: The ENCePP Code of Conduct provides a framework for scientifically independent and transparent pharmacoepidemiological research. Despite becoming a landmark reference, practical implementation of key provisions was still limited. The fourth revision defines scientific independence and clarifies uncertainties on the applicability to postauthorisation safety studies requested by regulators. To separate the influence of the funder from the investigator's scientific responsibility, the Code now requires that the lead investigator is not employed by the funding institution. METHOD: To assess how the revised Code fits the ecosystem of noninterventional pharmacoepidemiology research in Europe, we first mapped key recommendations of the revised Code against ISPE Good Pharmacoepidemiology Practices and the ADVANCE Code of Conduct. We surveyed stakeholders to understand perceptions on its value and practical applicability. Representatives from the different stakeholders' groups described their experience and expectations. RESULTS: Unmet needs in pharmacoepidemiological research are fulfilled by providing unique guidance on roles and responsibilities to support scientific independence. The principles of scientific independence and transparency are well understood and reinforce trust in study results; however, around 70% of survey respondents still found some provisions difficult to apply. Representatives from stakeholders' groups found the new version promising, although limitations still exist. CONCLUSION: By clarifying definitions and roles, the latest revision of the Code sets a new standard in the relationship between investigators and funders to support scientific independence of pharmacoepidemiological research. Disseminating and training on the provisions of the Code would help stakeholders to better understand its advantages and promote its adoption in noninterventional research.

Results and validation of an index to measure health state of patients with depression in automated healthcare databases.

Background and objective: A Depressive Health State Index (DHSI) based on 29 parameters routinely collected in an automated healthcare database (AHDB) was developed to evaluate the health state of depressive patients, and its evolution. The study objective was to describe and validate this DHSI. Methods: A historical cohort of patients with at least one episode of depression was identified in the Clinical Practice Research Datalink (CPRD). The DHSI was calculated for each episode of depression. Validation was performed by comparing the DHSI between subgroups and using validated definitions of remission (proxy and PHQ-9). Robustness was studied by assessing the impact of modifying parameters of the DHSI. Results: 309,279 episodes of depression were identified in the CPRD between 1 January 2006 and 31 December 2012. Remission was observed in 8% of the patients showing the lower DHSI scores and in 88% of the patients showing the higher DHSI scores. The DHSI was robust to a modification of the most frequent variables and to the removal of rare parameters. Conclusion: The DHSI is specific to depression severity (with remission rates in accordance with the expected variations of the DHSI) and robust. It represents a promising tool for the analysis of AHDBs.

Creating an index to measure health state of depressed patients in automated healthcare databases: the methodology.

Background and objective: Automated healthcare databases (AHDB) are an important data source for real life drug and healthcare use. In the filed of depression, lack of detailed clinical data requires the use of binary proxies with important limitations. The study objective was to create a Depressive Health State Index (DHSI) as a continuous health state measure for depressed patients using available data in an AHDB. Methods: The study was based on historical cohort design using the UK Clinical Practice Research Datalink (CPRD). Depressive episodes (depression diagnosis with an antidepressant prescription) were used to create the DHSI through 6 successive steps: (1) Defining study design; (2) Identifying constituent parameters; (3) Assigning relative weights to the parameters; (4) Ranking based on the presence of parameters; (5) Standardizing the rank of the DHSI; (6) Developing a regression model to derive the DHSI in any other sample. Results: The DHSI ranged from 0 (worst) to 100 (best health state) comprising 29 parameters. The proportion of depressive episodes with a remission proxy increased with DHSI quartiles. Conclusion: A continuous outcome for depressed patients treated by antidepressants was created in an AHDB using several different variables and allowed more granularity than currently used proxies.

Clobazam and clonazepam use in epilepsy: Results from a UK database incident user cohort study.

OBJECTIVE: To compare patient characteristics and treatment patterns among clobazam (CLB) and clonazepam (CZP)-treated patients with epilepsy in a longitudinal primary care database. METHODS: In this pharmacoepidemiological study, real-life usage data from the Clinical Practice Research Database (CPRD) were evaluated. The CPRD collects data from approximately 690 primary care practices throughout the UK. Data included were from patients with ≥1 incident CLB or CZP prescription from 1995 to 2011 and were present in the database for ≥182 days prior to the index date (date patient was first prescribed CLB or CZP within the study period). RESULTS: Of 21,099 patients who met inclusion criteria, 18.4% were receiving CLB and 81.6% were receiving CZP. More patients used CLB for epilepsy than CZP (76.1% vs 8.7%). CLB-treated adults (≤18years) were younger than those treated with CZP (41.0 vs 48.2 years; p<0.001), while CLB-treated children (≤18 years) were older than those treated with CZP (8.8 vs 7.3 years, p<0.001). The median CLB dosage did not change from baseline to last follow-up, while median CZP dosage increased 25% in adults and 50% in children. Median treatment duration, as well as retention rate up to 10 years, was similar between CLB and CZP in each age group. CONCLUSIONS: Among adult and pediatric patients in the UK, CLB is more often prescribed for epilepsy than CZP. The median CLB dosage used by both adults and children remained stable over the 16-year study period, while the median CZP dosage increased in both adults and children.

A chart review of management of ischemic stroke patients in Germany.

BACKGROUND: Ischemic stroke (IS) poses physical, emotional, and economic burdens on both patients and the healthcare system in Germany. However, the management of IS is not well described, especially after hospital discharge. In this study, we aim to describe the management of IS at onset, admission, and during follow-up. METHODS: German general practitioners (GPs) (n=40) extracted data on patient characteristics, hospitalizations, discharge, and ambulatory care from both GPs patient databases and hospital letters. Descriptive analyses were conducted. RESULTS: The sample included 185 patients with a mean age of 70 years [standard deviation (SD)=11.7]. Most patients (63%) contacted the Emergency Medical Services, while 36% contacted their GPs. The majority of patients were hospitalized within 1 h from onset, and the length of stay was on average 14 days. Half of the patients (50%) were admitted to the stroke unit, and 16% of patients received thrombolysis treatment with 2 h (SD=2.6) of time to treatment. Of the admitted patients, 32% were discharged to their homes, while the remaining patients were discharged to nursing homes (16.2%) and rehabilitation centers (47.6%). During the 12 months follow-up, 22% of patients were re-hospitalized and patients visited their GP (11.7 times), psychologist or psychiatrist (9.5 times), and neurologist (2.2 times). Death rate after stroke event was 13%. CONCLUSION: The rate of patients who received thrombolysis is lower than the optimal rate in Germany. More research is needed to determine the factors that could predict the utilization of thrombolysis treatment.

Ischemic stroke management in West Scotland: a chart review.

BACKGROUND: Little information is available about the long-term management of ischemic stroke (IS) in West Scotland. In this study we aim to describe the management of IS at onset, admission, and during follow-up among patients who survived an IS event. METHODS: General practitioners (GPs) (n=20) were randomly selected to recruit IS patients and extract data about patient characteristics, hospitalizations, discharge, and ambulatory care from GP databases, hospital letters, and direct contact with patients and their relatives. Descriptive analyses were conducted. RESULTS: One hundred and one patients were included, with a mean age of 65.6±13.4. About half of the patients contacted their GPs at the time of onset (45.4%). Cardiovascular history was prevalent in 29.7% of cases, and 14% of all cases were recurrences. Of the patients, 89 (88%) were hospitalized with mean length of stay (LOS) 11.8 days. Treatment was administered on average within 12.9 hours of admission and 23.6% of the admitted patients received thrombolytic treatment. During the 1-year follow-up period, 33.6% of patients were rehospitalized and the mean LOS was 15.1±29.5 days. Further, patients on average sought nursing care (10.9%), physical therapy (45.5%), occupational therapy (27.7%), speech therapy (12.9%), and professional caregivers (12%). CONCLUSION: The health-care resource utilization of IS patients is a major driver of economic burden.

A review of accessibility of administrative healthcare databases in the Asia-Pacific region.

OBJECTIVE: We describe and compare the availability and accessibility of administrative healthcare databases (AHDB) in several Asia-Pacific countries: Australia, Japan, South Korea, Taiwan, Singapore, China, Thailand, and Malaysia. METHODS: The study included hospital records, reimbursement databases, prescription databases, and data linkages. Databases were first identified through PubMed, Google Scholar, and the ISPOR database register. Database custodians were contacted. Six criteria were used to assess the databases and provided the basis for a tool to categorise databases into seven levels ranging from least accessible (Level 1) to most accessible (Level 7). We also categorised overall data accessibility for each country as high, medium, or low based on accessibility of databases as well as the number of academic articles published using the databases. RESULTS: Fifty-four administrative databases were identified. Only a limited number of databases allowed access to raw data and were at Level 7 [Medical Data Vision EBM Provider, Japan Medical Data Centre (JMDC) Claims database and Nihon-Chouzai Pharmacy Claims database in Japan, and Medicare, Pharmaceutical Benefits Scheme (PBS), Centre for Health Record Linkage (CHeReL), HealthLinQ, Victorian Data Linkages (VDL), SA-NT DataLink in Australia]. At Levels 3-6 were several databases from Japan [Hamamatsu Medical University Database, Medi-Trend, Nihon University School of Medicine Clinical Data Warehouse (NUSM)], Australia [Western Australia Data Linkage (WADL)], Taiwan [National Health Insurance Research Database (NHIRD)], South Korea [Health Insurance Review and Assessment Service (HIRA)], and Malaysia [United Nations University (UNU)-Casemix]. Countries were categorised as having a high level of data accessibility (Australia, Taiwan, and Japan), medium level of accessibility (South Korea), or a low level of accessibility (Thailand, China, Malaysia, and Singapore). In some countries, data may be available but accessibility was restricted based on requirements by data custodians. CONCLUSIONS: Compared with previous research, this study describes the landscape of databases in the selected countries with more granularity using an assessment tool developed for this purpose. A high number of databases were identified but most had restricted access, preventing their potential use to support research. We hope that this study helps to improve the understanding of the AHDB landscape, increase data sharing and database research in Asia-Pacific countries.

Pharmacoepidemiology studies: what levels of evidence and how can they be reached?

In pharmacoepidemiology studies, the nature of the research question will dictate the choice of methodological approach and the conditions for optimizing the level of evidence. Thus, to document the treated population and the modes of use of a new drug in real-life prescribing conditions, a descriptive approach through cross-sectional or longitudinal studies conducted on databases, or else ad-hoc studies, will be preferred. On the other hand, evaluation of the real-life "effectiveness" of a new drug will be based on cohort, case-control or scientific modeling, depending on the drug and the disease of interest. For questions involving drug risks and safety, it is the adverse effects profile that will guide the choice of study design, both for identification of the effect (signal) and assessment of causation. In all cases, in the post-marketing authorization (MA) setting, the evidence acquired in pre-MA studies serves as the basis for generating hypotheses. Whatever the research question and the method chosen to address it, the potential biases and their impact on the results need to be identified. In certain cases, a combination of several complementary approaches may prove preferable to a single study.