Cancer incidence in immunocompromised patients: a single-center cohort study.

BACKGROUND: Diminished immune defense plays an important role in cancer development. Cancer risk in immunocompromised patients may differ. Identifying individuals with elevated cancer risk can inform strategies for routine cancer screening. This study aimed to understand and compare cancer incidence and risk in three patient groups: recipients of solid organ transplant (SOT) or hematopoietic stem cell transplant (HSCT); diagnosis of primary or secondary immunodeficiency disorder (PID/SID); and recipients of tumor necrosis factor inhibitor (TNF-i) therapy. METHODS: This retrospective cohort study used the University of Utah Health System database and Huntsman Cancer Institute tumor registry. Patients aged ≥18 years with SOT/HSCT, PID/SID or ≥ 3 months of TNF-i therapy were included. The date of transplant, diagnosis of PID/SID, or 1st TNF-i medication order date was defined as the index date. We calculated cumulative cancer incidence by Kaplan-Meier method. A Cox-proportional hazard regression model with a stepwise variable selection process was used to identify independent risk factors associated with the time to onset of a new primary cancer. RESULTS: In total, 13,887 patients were included which comprised of 2982 (21%) SOT/HSCT, 7542 (54%) PID/SID and 3363 (24%) patients receiving TNF-i. The mean (SD) age ranged from 46.8 (15) years - 50.4 (18.2) years. The proportion of white patients ranged from 72.3-84.8%. The estimated cumulative cancer incidence was 11.5% in the SOT/HSCT cohort, 14.3% in the PID/SID cohort, and 8.8% in the TNF-i cohort. The multivariable model adjusted for age, benign in-situ disease, Charlson Comorbidity Index, hypertension/cardiovascular disease/end stage renal disease, gender, race/ethnicity, and renal cyst as significant risk factors. The adjusted hazard ratios for cancer development in SOT/HSCT and PID/SID cohorts compared to the TNF-i cohort over the full follow-up period were 1.57 (95% CI: 1.16-2.13) and 2.14 (95% CI: 1.65-2.77), respectively. CONCLUSION: A significantly increased risk of cancer was observed in PID/SID patients and SOT/HSCT patients compared to TNF-i patients. Age ≥ 50 years, male gender, and clinical comorbidities were additional factors impacting cancer risk. PID/SID and SOT/HSCT patients may benefit from more intensive cancer screening.

Caregiver survey in glioblastoma focused on cognitive dysfunction: development and results from a multicenter study.

Aim: To develop a cognitive dysfunction (CD) focused questionnaire to evaluate caregiver burden in glioblastoma. Materials & methods: The survey was developed from stakeholder consultations and a pilot study, and disseminated at eight US academic cancer centers. Caregivers self-reported caring for an adult with glioblastoma and CD. Results: The 89-item survey covered demographics, CD symptoms and caregiver burden domains. Among 185 caregivers, most were white, educated females and reported memory problems as the most common CD symptom. An exposure-effect was observed, with increase in number of CD symptoms significantly associated with greater caregiver burden. Conclusion: This questionnaire could guide caregiver interventions and be adapted for use longitudinally, in community cancer settings, and in patients with brain metastases.

Glioblastoma (GBM) is a very aggressive brain cancer. People who have GBM have trouble remembering things and are unable to do things they used to do. These changes can be very hard. Researchers are trying to better understand what it is like for people who take care of people with GBM (or caregivers). In this study, researchers created a new survey for caregivers. The survey included questions about what caregivers see happening in their loved one with GBM. Caregivers said that memory problems were common. Also, when the patient had more problems the caregiver had a harder time, too. Researchers hope to improve the survey and use it in the future for more studies.

Real-world evidence in the use of Bevacizumab in age-related macular degeneration (ArMD): a scoping review.

PURPOSE: Pharmacological treatments for age-related macular degeneration (ArMD) include anti-vascular endothelial growth factor therapies. Bevacizumab is used off-label, as it has no indication for ArMD. This study aims to identify and describe literature on real-world evidence of bevacizumab (originator or biosimilars) use in ArMD. METHODS: A scoping review was conducted in Medline, CINAHL and Embase databases. Studies published in English after September 2017, conducted in USA, including adults (≥ 18 years old) with ArMD who received treatment with bevacizumab for ArMD were included. The review was further limited to peer-reviewed observational studies that quantitatively analyze either clinical or patient-reported outcomes among patients treated with bevacizumab for ArMD. RESULTS: The search strategy retrieved 543 studies. After title and abstract screening, a total of 142 studies were selected for full-text review leading to a total of 12 studies qualifying for data charting. All were retrospective studies. Five (41.6%) of the studies had less than 500 eyes included in the analysis, and the rest had over a thousand eyes. All except one study reported clinical outcomes (visual acuity was the main outcome in 8 (66.6%) studies). There were 3 (25%) studies reporting adverse events of bevacizumab intravitreal injections. None of the studies specified using biosimilars for bevacizumab and none mentioned patient-reported outcomes. CONCLUSION: The lack of studies aiming to study the patient-reported outcomes as well as the use of biosimilars of bevacizumab in ArMD makes this field a potential for future research. The different exposures and times to follow-up make it difficult to compare results among the selected studies.

Caregiver burden by treatment and clinical characteristics of patients with glioblastoma.

BACKGROUND: Glioblastoma is an incurable disease with a poor prognosis. For caregivers of people with glioblastoma, the burden of care can be high. Patients often present with different clinical characteristics, which may impact caregiver burden in different ways. This study aimed to evaluate associations between patient clinical characteristics and caregiver burden/quality of life (QoL). METHODS: Caregiver-patient dyads were enrolled at 7 academic cancer centers in the United States. Eligible caregiver participants were self-reported as the primary caregiver of an adult living with glioblastoma and completed a caregiver burden survey. Eligible patients were age ≥ 18 years at glioblastoma diagnosis and alive when their respective caregiver entered the study, with the presence of cognitive dysfunction confirmed by the caregiver. Data were analyzed with descriptive statistics and multivariable analyses. RESULTS: The final cohort included 167 dyads. Poor patient performance status resulted in patient difficulty with mental tasks, more caregiving tasks, and increased caregiving time. Language problems were reported in patients with left-sided lesions. Patient confusion was negatively associated with all caregiver domains: emotional health, social health, general health, ability to work, confidence in finances, and overall QoL. Better caregiver QoL was observed in patients with frontal lobe lesions versus non-frontal lobe lesions. CONCLUSION: This study reinforced that patient performance status is a critical clinical factor that significantly affects caregiver burden, caregiving tasks, and caregiver time. Additionally, patient confusion affects multiple facets of caregiver burden/QoL. These results could be used to support guided intervention for caregiver support, customized to the patient experience.

BRCA testing and outcomes in women with breast cancer.

MAIN PURPOSE: Germline BRCA mutations (BRCAm) strongly influence the risk of developing breast cancer. This study aimed to understand the role of BRCAm testing in affected individuals and to assess its impact on the outcome of BRCAm carriers compared to non-carriers (BRCAwt) with breast cancer. RESEARCH QUESTION: The research question is "Does standard of care testing for BRCAm improve survival outcomes of breast cancer patients?" METHODS: In a single institution observational cohort study, demographic and clinical characteristics were compared between breast cancer patients with and without BRCAm. Frequency of BRCA testing was assessed. Survival outcomes were assessed by initial treatment setting stratified by BRCA status. RESULTS: Of 5712 identified women with breast cancer, 14.6% (n = 835) were tested for a BRCA mutation and had a documented result. The total number and proportion of women tested for a BRCAm increased between 2000 and 2014, resulting in an increased number of BRCAm carriers identified. However, the proportion of women who underwent testing and had a BRCAm decreased during the study period from 27.5% in 2000-2004 to 13.3% in 2010-2014. Disease-free survival was similar in the adjuvant and neoadjuvant treatment settings between BRCAm and BRCAwt patients. Progression-free survival on first line treatment and overall survival for patients with metastatic disease was also similar between BRCAm and BRCAwt patients. CONCLUSIONS: The proportion of women tested and the number of BRCAm identified increased during the study period despite a decreasing proportion of positive results among women tested.

Trends in outpatient emergency department visits during the COVID-19 pandemic at a large, urban, academic hospital system.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has critically affected healthcare delivery in the United States. Little is known on its impact on the utilization of emergency department (ED) services, particularly for conditions that might be medically urgent. The objective of this study was to explore trends in the number of outpatient (treat and release) ED visits during the COVID-19 pandemic. METHODS: We conducted a cross-sectional, retrospective study of outpatient emergency department visits from January 1, 2019 to August 31, 2020 using data from a large, urban, academic hospital system in Utah. Using weekly counts and trend analyses, we explored changes in overall ED visits, by patients' area of residence, by medical urgency, and by specific medical conditions. RESULTS: While outpatient ED visits were higher (+6.0%) in the first trimester of 2020 relative to the same period in 2019, the overall volume between January and August of 2020 was lower (-8.1%) than in 2019. The largest decrease occurred in April 2020 (-30.4%), followed by the May to August period (-12.8%). The largest declines were observed for visits by out-of-state residents, visits classified as non-emergent, primary care treatable or preventable, and for patients diagnosed with hypertension, diabetes, headaches and migraines, mood and personality disorders, fluid and electrolyte disorders, and abdominal pain. Outpatient ED visits for emergent conditions, such as palpitations and tachycardia, open wounds, syncope and collapse remained relatively unchanged, while lower respiratory disease-related visits were 67.5% higher in 2020 relative to 2019, particularly from March to April 2020. However, almost all types of outpatient ED visits bounced back after May 2020. CONCLUSIONS: Overall outpatient ED visits declined from mid-March to August 2020, particularly for non-medically urgent conditions which can be treated in other more appropriate care settings. Our findings also have implications for insurers, policymakers, and other stakeholders seeking to assist patients in choosing more appropriate setting for their care during and after the pandemic.

Estimation of healthcare-related charges in women with BRCA mutations and breast cancer.

BACKGROUND: Breast cancer costs were estimated at $16.5 billion in 2010 and were higher than other cancer costs. There are limited studies on breast cancer charges and costs by BRCA mutations and receptor status. We examined overall health care and breast cancer-related charges by BRCA status (BRCAm vs. BRCAwt), receptor status (HER2+ vs. HER2-), and treatment setting (neoadjuvant vs. adjuvant). METHODS: Retrospective cohort study of charge data from 1995-2014 in an academic medical center. Facilities, physician, pharmacy, and diagnosis-related charges were presented as mean and median charges with standard deviation (SD) and interquartile ranges (25%-75%). Wilcoxon rank-sum test was used to assess statistically significant differences in charges between comparators. RESULTS: Total median breast-cancer related charges were $65,414 for BRCAm and $54,635 for BRCAwt (p=0.19); however all-cause charges were higher for BRCAm patients ($145,066 vs. $119,119, p<0.001). HER2+ status was associated with higher median breast cancer charges ($152,159 vs. $44,087, p<0.0001) that was driven by the charges for biological agents. Patients initially seen in the neoadjuvant setting had higher mean breast cancer charges than in the adjuvant setting ($117,922 vs. $80,061, p<0.0001). CONCLUSION: BRCA mutation status was not associated with higher breast cancer charges but HER2+ status had significantly higher charges, due to charges for biological agents. Patients who initially received neoadjuvant treatment had significantly higher overall treatment charges than adjuvant therapy patients. With the advent of novel therapies for BRCAm, the economic impact of these treatments will be important to consider relative to their survival benefits.

Being Precise About Precision Medicine: What Should Value Frameworks Incorporate to Address Precision Medicine? A Report of the Personalized Precision Medicine Special Interest Group.

Precision medicine is a dynamic area embracing a diverse and increasing type of approaches that allow the targeting of new medicines, screening programs or preventive healthcare strategies, which include the use of biologic markers or complex tests driven by algorithms also potentially taking account of patient preferences. The International Society for Pharmacoeconomics and Outcome Research expanded its current work around precision medicine to (1) describe the evolving paradigm of precision medicine with examples of current and evolving applications, (2) describe key stakeholders perspectives on the value of precision medicine in their respective domains, and (3) define the core factors that should be considered in a value assessment framework for precision medicine. With the ultimate goal of improving health of well-defined patient groups, precision medicine will affect all stakeholders in the healthcare system at multiple levels spanning the individual perspective to the societal perspective. For an efficient, timely and practical precision medicine value assessment framework, it will be important to address these multiple perspectives through building consensus among the stakeholders for robust procedures and measures of value aspects, including performance of precision mechanism; aligned reimbursement processes of precision mechanism and subsequent treatment; transparent expectations for evidence requirements and study designs adequately matched to the intended use of the precision mechanism and to the smaller target patient populations; recognizing the potential range of value-generation such as ruling-in and ruling-out decisions.

Longitudinal changes in glycated haemoglobin following treatment intensification after inadequate response to two oral antidiabetic agents in patients with type 2 diabetes.

AIMS: To identify change in glycated haemoglobin (HbA1c) for 1 year after treatment intensification in patients with HbA1c >53 mmol/mol (7.0%) while on two classes of oral antidiabetic drugs (OADs). MATERIAL AND METHODS: A retrospective cohort study was conducted using a regional health plan claims database for the period January 1, 2010 to March 31, 2017. Patients with type 2 diabetes (T2DM) whose treatment was intensified with insulin, a glucagon-like peptide-1 receptor agonist or a third OAD within 365 days of having HbA1c ≥53 mmol/mol (7.0%) on two OADs were included. The HbA1c trajectory for 1 year after intensification was estimated using a mixed-effects regression model. RESULTS: The analysis included 1226 patients with a mean ± SD HbA1c at treatment intensification of 74.2 ± 18.7 mmol/mol (8.93 ± 1.7%). HbA1c was higher in the insulin group (74.2 mmol/mol) than in the non-insulin group (70.6 mmol/mol), as was the HbA1c decrease (P < 0.01) over the 1-year follow-up, particularly in patients with baseline HbA1c >9%. After intensification, insulin- and non-insulin-treated patients achieved an average change by month in HbA1c of -4.7 mmol/mol and -2.6 mmol/mol points, respectively. The analysis predicted HbA1c to be the lowest at 6 to 10 months post intensification, depending on intensification treatment and HbA1c at intensification; however, on average, HbA1c remained above 64.0 mmol/mol (8.0%). CONCLUSION: In patients with T2DM, intensification following an HbA1c value ≥53 mmol/mol (7.0%) while on two OADs was associated with a significant improvement in glycaemic control. Patients intensified with insulin had a higher baseline HbA1c but greater HbA1c reduction than those intensified with a non-insulin agent. However, HbA1c remained above 64 mmol/mol (8.0%) overall. Additional opportunity exists to further intensify therapy to improve glycaemic control.

Cost-effectiveness of early cancer surveillance for patients with Li-Fraumeni syndrome.

INTRODUCTION: Patients with germline TP53 pathogenic variants (Li-Fraumeni syndrome [LFS]) are at extremely high lifetime risk of developing cancer. Recent data suggest that tumor surveillance for patients with LFS may improve survival through early cancer detection. The objective of this study was to assess the cost-effectiveness of a cancer surveillance strategy for patients with LFS compared with those whose tumors present clinically. METHODS: A Markov decision analytic model was developed from a third-party payer perspective to estimate cost-effectiveness of routine cancer surveillance over a patient's lifetime. The model consisted of four possible health states: no cancer, cancer, post-cancer survivorship, and death. Model outcomes were costs (2015 United States Dollars [USD]), effectiveness (life years [LY] gained), and incremental cost-effectiveness ratio (ICER; change in cost/LY gained). One-way sensitivity analyses and probabilistic sensitivity analyses examined parameter uncertainty. RESULTS: The model showed a mean cost of $46 496 and $117 102 and yielded 23 and 27 LY for the nonsurveillance and surveillance strategies, respectively. The ICER for early cancer surveillance versus no surveillance was $17 125 per additional LY gained. At the commonly accepted willingness to pay threshold of $100 000/life-year gained, surveillance had a 98% probability of being the most cost-effective strategy for early cancer detection in this high-risk population. CONCLUSIONS: Presymptomatic cancer surveillance is cost-effective for patients with germline pathogenic variants in TP53. Lack of insurance coverage or reimbursement in this population may have significant consequences and leads to undetected cancers presenting in later stages of disease with worse clinical outcomes.

Algorithms to identify COPD in health systems with and without access to ICD coding: a systematic review.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) causes significant morbidity and mortality worldwide. Estimation of incidence, prevalence and disease burden through routine insurance data is challenging because of under-diagnosis and under-treatment, particularly for early stage disease in health care systems where outpatient International Classification of Diseases (ICD) diagnoses are not collected. This poses the question of which criteria are commonly applied to identify COPD patients in claims datasets in the absence of ICD diagnoses, and which information can be used as a substitute. The aim of this systematic review is to summarize previously reported methodological approaches for the identification of COPD patients through routine data and to compile potential criteria for the identification of COPD patients if ICD codes are not available. METHODS: A systematic literature review was performed in Medline via PubMed and Google Scholar from January 2000 through October 2018, followed by a manual review of the included studies by at least two independent raters. Study characteristics and all identifying criteria used in the studies were systematically extracted from the publications, categorized, and compiled in evidence tables. RESULTS: In total, the systematic search yielded 151 publications. After title and abstract screening, 38 publications were included into the systematic assessment. In these studies, the most frequently used (22/38) criteria set to identify COPD patients included ICD codes, hospitalization, and ambulatory visits. Only four out of 38 studies used methods other than ICD coding. In a significant proportion of studies, the age range of the target population (33/38) and hospitalization (30/38) were provided. Ambulatory data were included in 24, physician claims in 22, and pharmaceutical data in 18 studies. Only five studies used spirometry, two used surgery and one used oxygen therapy. CONCLUSIONS: A variety of different criteria is used for the identification of COPD from routine data. The most promising criteria set in data environments where ambulatory diagnosis codes are lacking is the consideration of additional illness-related information with special attention to pharmacotherapy data. Further health services research should focus on the application of more systematic internal and/or external validation approaches.

Impact of a genetic counseling requirement prior to genetic testing.

BACKGROUND: Genetic counseling by a Genetic Counselor (GC) is a requirement prior to genetic testing for cancer susceptibility genes (GC-mandate policy) for some insurers. This study evaluated the impact of this policy from the patient perspective. METHODS: Surveys were sent to individuals for whom their insurer ordered genetic testing for the cancer susceptibility genes BCRA1 and BRCA2 over a 1 year time period that spanned the introduction of a GC-mandate policy. Responses were assessed by time period (before/after policy introduction) and genetic test completion. RESULTS: The surveys were completed by 1247/4950 (25.7%) eligible individuals. After policy introduction, there was no change in the proportion of respondents who completed genetic testing (p = 0.13) or had a mutation (p = 0.55). Overall decisional conflict (uncertainty or feeling uninformed) around genetic testing did not change after policy introduction (p = 0.16), but was significantly higher among respondents who did not complete genetic testing (p < 0.01). Although a larger proportion of respondents saw a GC after policy introduction (p < 0.01), fewer did so to better understand their test results (p < 0.01). The proportion of respondents who did not see a GC due to insurance issues/requirements and time restraints was higher among those tested after policy introduction or who did not complete genetic testing (p < 0.01). In multivariate analysis, respondents with a household income of $25,000 or greater were 3-times more likely to complete testing. CONCLUSIONS: A GC-mandate policy did not improve decisional conflict or increase the number of deleterious mutations identified and low-income respondents were less likely to complete testing. On the contrary, insurance requirements and time constraints may be preventing individuals at risk from receiving appropriate testing.

Development of multi-criteria decision analysis (MCDA) framework for off-patent pharmaceuticals - an application on improving tender decision making in Indonesia.

BACKGROUND: Off-patent pharmaceuticals (OPPs) hold vital importance in meeting public health objectives, especially in developing countries where resources are limited. OPPs are comprised of off-patent originals, branded generics and unbranded generics; nonetheless, these products are not identical and often there are differences in their equivalence, manufacturing quality standards and reliability of supply. This necessitates reconsideration of the lowest price policy objective in pharmaceutical decision making. The aim of this study was to develop a Multi-Criteria Decision Analysis (MCDA) framework through a pilot workshop to inform the national procurement of OPPs in Indonesia. METHODS: An initial list of potentially relevant criteria was identified based on previous work and a literature review. In a 2-day pilot policy workshop, twenty local experts representing different stakeholder groups and decision-making bodies selected the final criteria, approved the scoring function for each criterion, and assigned weights to each criterion. RESULTS: An MCDA framework was proposed for OPP drug decision making in developing countries, which included price and 8 non-price criteria. Based on the pilot policy workshop 6 + 1 criteria were considered relevant for Indonesia: pharmaceutical price (40% weight), manufacturing quality (18.8%), equivalence with the reference product (12.2%), product stability and drug formulation (12.2%), reliability of drug supply (8.4%), real world clinical or economic outcomes, such as adherence or non-drug costs (4.2%) and pharmacovigilance (3.6%). CONCLUSIONS: According to the pilot policy workshop, other criteria apart from price need to be strengthened in the tendering process. The introduction of additional criteria for OPP procurement in an MCDA framework creates incentives for manufacturers to invest into improved manufacturing standards, equivalence proof, product quality, reliability of supply or even additional real-world data collection, which ultimately may result in more health gain for the society.

Personalized treatment of women with early breast cancer: a risk-group specific cost-effectiveness analysis of adjuvant chemotherapy accounting for companion prognostic tests OncotypeDX and Adjuvant!Online.

BACKGROUND: Due to high survival rates and the relatively small benefit of adjuvant therapy, the application of personalized medicine (PM) through risk stratification is particularly beneficial in early breast cancer (BC) to avoid unnecessary harms from treatment. The new 21-gene assay (OncotypeDX, ODX) is a promising prognostic score for risk stratification that can be applied in conjunction with Adjuvant!Online (AO) to guide personalized chemotherapy decisions for early BC patients. Our goal was to evaluate risk-group specific cost effectiveness of adjuvant chemotherapy for women with early stage BC in Austria based on AO and ODX risk stratification. METHODS: A previously validated discrete event simulation model was applied to a hypothetical cohort of 50-year-old women over a lifetime horizon. We simulated twelve risk groups derived from the joint application of ODX and AO and included respective additional costs. The primary outcomes of interest were life-years gained, quality-adjusted life-years (QALYs), costs and incremental cost-effectiveness (ICER). The robustness of results and decisions derived were tested in sensitivity analyses. A cross-country comparison of results was performed. RESULTS: Chemotherapy is dominated (i.e., less effective and more costly) for patients with 1) low ODX risk independent of AO classification; and 2) low AO risk and intermediate ODX risk. For patients with an intermediate or high AO risk and an intermediate or high ODX risk, the ICER is below 15,000 EUR/QALY (potentially cost effective depending on the willingness-to-pay). Applying the AO risk classification alone would miss risk groups where chemotherapy is dominated and thus should not be considered. These results are sensitive to changes in the probabilities of distant recurrence but not to changes in the costs of chemotherapy or the ODX test. CONCLUSIONS: Based on our modeling study, chemotherapy is effective and cost effective for Austrian patients with an intermediate or high AO risk and an intermediate or high ODX risk. In other words, low ODX risk suggests chemotherapy should not be considered but low AO risk may benefit from chemotherapy if ODX risk is high. Our analysis suggests that risk-group specific cost-effectiveness analysis, which includes companion prognostic tests are essential in PM.

Good Practices for Real-World Data Studies of Treatment and/or Comparative Effectiveness: Recommendations from the Joint ISPOR-ISPE Special Task Force on Real-World Evidence in Health Care Decision Making.

PURPOSE: Real-world evidence (RWE) includes data from retrospective or prospective observational studies and observational registries and provides insights beyond those addressed by randomized controlled trials. RWE studies aim to improve health care decision making. METHODS: The International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the International Society for Pharmacoepidemiology (ISPE) created a task force to make recommendations regarding good procedural practices that would enhance decision makers' confidence in evidence derived from RWD studies. Peer review by ISPOR/ISPE members and task force participants provided a consensus-building iterative process for the topics and framing of recommendations. RESULTS: The ISPOR/ISPE Task Force recommendations cover seven topics such as study registration, replicability, and stakeholder involvement in RWE studies. These recommendations, in concert with earlier recommendations about study methodology, provide a trustworthy foundation for the expanded use of RWE in health care decision making. CONCLUSION: The focus of these recommendations is good procedural practices for studies that test a specific hypothesis in a specific population. We recognize that some of the recommendations in this report may not be widely adopted without appropriate incentives from decision makers, journal editors, and other key stakeholders.

The impact of exposure to antidepressant medications during pregnancy on neonatal outcomes: a review of retrospective database cohort studies.

INTRODUCTION: Concerns with prescription antidepressant use in pregnant women have instigated the examination of potential associations between fetal exposure to antidepressant medication and outcomes including preterm delivery, congenital malformations, perinatal and post-natal adverse events, persistent pulmonary hypertension, and mortality. The retrospective cohort model is an often utilized study design. The objective of this review is to evaluate the literature on antidepressant use in pregnancy conducted as retrospective cohorts in national/regional medical, or claims databases that assess neonatal and infant outcomes for agreement between studies, ultimately providing a methodological and outcomes summary for future scientific endeavors. METHODS: PubMed was searched for literature relating to antidepressant use and infant outcomes from the earliest available date through July 15, 2016. Studies with a retrospective cohort design and conducted in national/regional medical or claims databases were included. Searched outcomes included preterm delivery, congenital malformations, low birth weight, small for gestational age, persistent pulmonary hypertension of the newborn, and other select adverse events comprising low Apgar score (5 min), convulsions/seizures, respiratory distress/problems, fetal mortality, and infant mortality. RESULTS: Of the 784 studies identified, 36 retrospective cohort studies met eligibility criteria. An increase in preterm delivery and respiratory distress/problems and no increase in congenital malformation or fetal and infant death were associated with prenatal use of prescription antidepressants by majority consensus (at least 2/3 [67%] of studies). CONCLUSIONS: While consensus indicates that perinatal prescription antidepressant use has consequences for the fetus and infant, there are notable inconsistencies in the literature. More investigations that address prenatal exposure to depression and other important covariates are needed.

Good practices for real-world data studies of treatment and/or comparative effectiveness: Recommendations from the joint ISPOR-ISPE Special Task Force on real-world evidence in health care decision making.

PURPOSE: Real-world evidence (RWE) includes data from retrospective or prospective observational studies and observational registries and provides insights beyond those addressed by randomized controlled trials. RWE studies aim to improve health care decision making. METHODS: The International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the International Society for Pharmacoepidemiology (ISPE) created a task force to make recommendations regarding good procedural practices that would enhance decision makers' confidence in evidence derived from RWD studies. Peer review by ISPOR/ISPE members and task force participants provided a consensus-building iterative process for the topics and framing of recommendations. RESULTS: The ISPOR/ISPE Task Force recommendations cover seven topics such as study registration, replicability, and stakeholder involvement in RWE studies. These recommendations, in concert with earlier recommendations about study methodology, provide a trustworthy foundation for the expanded use of RWE in health care decision making. CONCLUSION: The focus of these recommendations is good procedural practices for studies that test a specific hypothesis in a specific population. We recognize that some of the recommendations in this report may not be widely adopted without appropriate incentives from decision makers, journal editors, and other key stakeholders.

Cost-Utility of a Prognostic Test Guiding Adjuvant Chemotherapy Decisions in Early-Stage Non-Small Cell Lung Cancer.

BACKGROUND: A prognostic test was developed to guide adjuvant chemotherapy (ACT) decisions in early-stage non-small cell lung cancer (NSCLC) adenocarcinomas. The objective of this study was to compare the cost-utility of the prognostic test to the current standard of care (SoC) in patients with early-stage NSCLC. MATERIALS AND METHODS: Lifetime costs (2014 U.S. dollars) and effectiveness (quality-adjusted life-years [QALYs]) of ACT treatment decisions were examined using a Markov microsimulation model from a U.S. third-party payer perspective. Cancer stage distribution and probability of receiving ACT with the SoC were based on data from an academic cancer center. The probability of receiving ACT with the prognostic test was estimated from a physician survey. Risk classification was based on the 5-year predicted NSCLC-related mortality. Treatment benefit with ACT was based on the prognostic score. Discounting at a 3% annual rate was applied to costs and QALYs. Deterministic one-way and probabilistic sensitivity analyses examined parameter uncertainty. RESULTS: Lifetime costs and effectiveness were $137,403 and 5.45 QALYs with the prognostic test and $127,359 and 5.17 QALYs with the SoC. The resulting incremental cost-effectiveness ratio for the prognostic test versus the SoC was $35,867/QALY gained. One-way sensitivity analyses indicated the model was most sensitive to the utility of patients without recurrence after ACT and the ACT treatment benefit. Probabilistic sensitivity analysis indicated the prognostic test was cost-effective in 65.5% of simulations at a willingness to pay of $50,000/QALY. CONCLUSION: The study suggests using a prognostic test to guide ACT decisions in early-stage NSCLC is potentially cost-effective compared with using the SoC based on globally accepted willingness-to-pay thresholds. IMPLICATIONS FOR PRACTICE: Providing prognostic information to decision makers may help some patients with high-risk early stage non-small cell lung cancer receive appropriate adjuvant chemotherapy while avoiding the associated toxicities and costs in patients with low-risk disease. This study used an economic model to assess the effectiveness and costs associated with using a prognostic test to guide adjuvant chemotherapy decisions compared with the current standard of care in patients with non-small cell lung cancer. When compared with current standard care, the prognostic test was potentially cost effective at commonly accepted thresholds in the U.S. This study can be used to help inform decision makers who are considering using prognostic tests.

IMPLICATION OF ALTERNATIVE MINIMAL CLINICALLY IMPORTANT DIFFERENCE THRESHOLD ESTIMATION METHODS ON TECHNOLOGY ASSESSMENT.

OBJECTIVES: Various minimal clinically important difference (MCID) threshold estimation techniques have been applied to seasonal allergic rhinitis (SAR). The objectives of this study are to (i) assess the difference in magnitude of alternative SAR MCID threshold estimates and (ii) evaluate the impact of alternative MCID estimates on health technology assessment (HTA). METHODS: Data describing change from baseline of the reflective Total Nasal Symptom Score (rTNSS) for four intranasal SAR treatments were obtained from United States Food and Drug Administration-approved prescribing information. Treatment effects were then compared with anchor-based MCID thresholds derived by Barnes et al. and thresholds obtained from an Agency for Healthcare Research and Quality (AHRQ) panel. RESULTS: The change in rTNSS score from baseline, represented as the average of the twice-daily recorded scores of the rTNSS, was -2.1 (p < .001) for azelastine hydrochloride 0.10%, 1.35 (p = .014) for ciclesonide, and -1.47 (p < .001) for fluticasone furoate. The change in the rTNSS score from baseline, represented by sum of the AM and PM score, was -2.7 for MP-AzeFlu (p < .001). The rTNSS change from baseline for each product was compared with anchor-based MCID threshold and the AHRQ panel estimates. Comparison of the observed treatment effect to the anchor-based and AHRQ panel MCID thresholds results in different conclusions, with clinically important differences being inferred when anchor-based estimates serve as the reference point. CONCLUSION: The AHRQ panel MCID threshold for the rTNSS was twelve times larger than the anchor-based estimates resulting in conflicting recommendations on whether different SAR treatments provide clinically meaningful benefit.