RESUMEN
PURPOSE: Describe patient characteristics and pregnancy outcomes among all pregnant patients, and additionally describe infant outcomes among the subset with linked infants in the Maternal Outcomes Masterset (MOM). METHODS: We used closed claims within the MOM data to identify publicly and privately insured patients at the first record of pregnancy January 1, 2018-December 1, 2021, with ≥180 days baseline enrollment. We described characteristics during baseline and follow-up (until an observed pregnancy endpoint, disenrollment, or 42-week maximum). We described maternal and infant characteristics overall and by infant linkage and contextualized them within national statistics. RESULTS: Among the 1 438 861 pregnant patients meeting the study criteria, the most common pregnancy endpoint recorded was live birth (42%) followed by spontaneous abortion (14%). Among 602 721 patients with a live birth, 99% had a week-specific gestational age recorded and 35% had at least one linked infant. Patients with infant linkage and sufficient follow-up (N = 155 621) had similar baseline comorbidities, pregnancy complications, and gestational age at delivery as those without any linkage. However, more patients with linkage had commercial coverage (70% vs. 31%), and were therefore older (50% vs. 31% aged ≥30 years) and more likely to have an unknown race (57% vs. 34%). CONCLUSIONS: In this large sample of pregnant patients, maternal and infant characteristics generally align with national statistics, providing confidence in the use of this data source for pregnancy research. Further, confirmation that the subset of patients with infant linkage is similar to the overall pregnancy cohort provides assurance that this subset can be considered representative.
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Aborto Espontáneo , Complicaciones del Embarazo , Embarazo , Femenino , Humanos , Lactante , Resultado del Embarazo/epidemiología , Complicaciones del Embarazo/epidemiología , Aborto Espontáneo/epidemiología , Nacimiento Vivo/epidemiologíaRESUMEN
Generating evidence from real-world data requires fit-for-purpose study design and data. In addition to validity, decision makers require transparency in the reasoning that underlies study design and data source decisions. The 2019 Structured Preapproval and Postapproval Comparative Study Design Framework to Generate Valid and Transparent Real-World Evidence (SPACE) and the 2021 Structured Process to Identify Fit-For-Purpose Data (SPIFD)-intended to be used together-provide a step-by-step guide to identify decision grade, fit-for-purpose study design and data. In this update (referred to as "SPIFD2" to encompass both the design and data aspects) we provide an update to these frameworks that combines the templates into one, more explicitly calls for articulation of the hypothetical target trial and sources of bias that may arise in the real-world emulation, and provides explicit references to the Structured Template and Reporting Tool for Real-World Evidence (STaRT-RWE) tables that we suggest using immediately after invoking the SPIFD2 framework. Following the steps recommended in the SPIFD2 process requires due diligence on the part of the researcher to ensure that every aspect of study design and data selection is rationalized and supported by evidence. The resulting stepwise documentation enables reproducibility and clear communication with decision makers, and it increases the likelihood that the evidence generated is valid, fit-for-purpose, and sufficient to support healthcare and regulatory decisions.
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Atención a la Salud , Proyectos de Investigación , Humanos , Reproducibilidad de los ResultadosRESUMEN
BACKGROUND: Invasive mucormycosis (IM) is a rare and often life-threatening fungal infection, for which clinical and epidemiological understanding is lacking. Electronic health record (EHR) data can be utilized to elucidate large populations of patients with IM to address this unmet need. This study aimed to descriptively assess data on patients with IM using the Optum® EHR dataset. METHODS: US patient data from the Optum® deidentified EHR dataset (2007-2019) were analyzed to identify patients with IM. Patients with hematologic malignancies (HM), at high risk of IM, were selected and sorted by IM diagnosis (ICD9 117.7; ICD10 B46). Demographics, comorbidities/other diagnoses, and treatments were analyzed in patients with IM. RESULTS: In total, 1133 patients with HM and IM were identified. Most were between 40 and 64 years of age, Caucasian, and from the Midwest. Essential primary hypertension (50.31%) was the most common comorbidity. Of the 1133 patients, only 33.72% were prescribed an antifungal treatment. The most common antifungal treatments were fluconazole (24.27%) and posaconazole (16.33%), which may have been prophylactic, and any AmB (15.62%). CONCLUSIONS: A large population of patients with IM were identified, highlighting the potential of analyzing EHR data to investigate epidemiology, diagnosis, and the treatment of apparently rare diseases.
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Neoplasias Hematológicas , Mucormicosis , Micosis , Antifúngicos/uso terapéutico , Comorbilidad , Neoplasias Hematológicas/epidemiología , Humanos , Mucormicosis/diagnóstico , Mucormicosis/tratamiento farmacológico , Mucormicosis/epidemiología , Micosis/tratamiento farmacológicoRESUMEN
To complement real-world evidence (RWE) guidelines, the 2019 Structured Preapproval and Postapproval Comparative study design framework to generate valid and transparent real-world Evidence (SPACE) framework elucidated a process for designing valid and transparent real-world studies. As an extension to SPACE, here, we provide a structured framework for conducting feasibility assessments-a step-by-step guide to identify decision grade, fit-for-purpose data, which complements the United States Food and Drug Administration (FDA)'s framework for a RWE program. The process was informed by our collective experience conducting systematic feasibility assessments of existing data sources for pharmacoepidemiology studies to support regulatory decisions. Used with the SPACE framework, the Structured Process to Identify Fit-For-Purpose Data (SPIFD) provides a systematic process for conducting feasibility assessments to determine if a data source is fit for decision making, helping ensure justification and transparency throughout study development, from articulation of a specific and meaningful research question to identification of fit-for-purpose data and study design.
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Recolección de Datos , Estudios de Factibilidad , Toma de Decisiones , Humanos , Proyectos de Investigación , Vareniclina/efectos adversos , Tratamiento Farmacológico de COVID-19RESUMEN
: Standard-of-care treatment for haemophilia A or B is to maintain adequate coagulation factor levels through clotting factor administration. The current study aimed to evaluate annualised bleeding rates (ABR) and treatment adherence for haemophilia A or B patients receiving standard half-life (SHL) vs. extended half-life (EHL) factor replacement products. We analysed data from the Adelphi Disease-Specific Programmes, a health record-based survey of United States and European haematologists. Analysis included 651 males with moderate-to-severe haemophilia A or B (the United States, nâ=â132; Europe, nâ=â519). The haemophilia A analysis included 501 patients (SHL, nâ=â435; EHL, nâ=â66). In the combined United States/European population, mean (SD) ABR was 1.7 (1.69) for the SHL group and 1.8 (2.00) for the EHL group. A total of 72% of patients receiving SHL factor VIII and 75% of patients receiving EHL factor VIII in the combined population were fully adherent (no doses missed of the last 10 doses), as reported by physicians. The haemophilia B analysis included 150 patients (SHL, nâ=â114; EHL, nâ=â36). The mean (SD) ABR in the combined population was 2.1 (2.16) for patients receiving SHL factor IX (FIX) and 1.4 (1.48) for patients receiving EHL FIX. The percentage of fully adherent patients (physician-reported) was similar in both treatment groups (SHL FIX, 68%; EHL FIX, 73%). In this preliminary real-world survey in a relatively small sample of patients, measures of ABR and adherence between SHL and EHL products were evaluated. Additional real-world research on prescribing patterns, SHL vs. EHL effectiveness, and adherence is warranted.