Enrollment factors and bias of disease prevalence estimates in administrative claims data

Skinformatics: Navigating the big data landscape of dermatology

Big data and associated approaches to analyse it are on the rise, especially in healthcare settings. This growth is also seen with unique applications in the field of dermatology. While big data offer a plethora of opportunity for improving our current understanding of disease and ability to deliver care, as with any technology innovation, the potential pitfalls should be addressed. In this piece, we highlight opportunities and challenges associated with big data in dermatology. Opportunities include large and novel data sources that may offer a wealth of information, automated detection, classification and diagnostics and improved public health monitoring. Challenges include data quality, issues of interpretability and disparities within artificial intelligence (AI) training data sets. Clinicians and researchers in the field should be aware of these developments within the field of big data to understand how best it may be used toward improving patient care and health outcomes, particularly in the field of dermatology.

Prevalence and Costs of Esophageal Strictures in the United States

BACKGROUND & AIMS

Esophageal strictures are a leading cause of dysphagia, but data regarding the epidemiology of esophageal strictures are limited. This study aimed to investigate the prevalence, health care utilization, and financial burden of esophageal strictures in the United States.

METHODS

We performed a retrospective cohort study using 2 large national insurance claims databases (MarketScan and Medicare). Using International Classification of Diseases-9 and -10 diagnostic codes, annual prevalence was calculated for both cohorts overall, and stratified by age and sex strata. Most common diagnostic and procedural codes associated with esophageal strictures were extracted and analyzed to estimate health care utilization. Direct annual medical costs of esophageal strictures were calculated.

RESULTS

The annual prevalence of esophageal strictures in MarketScan in 2021 was 203.14 cases/100,000 people, whereas the annual prevalence in Medicare cohort in 2017 was 1123.47 cases/100,000. Although rates were relatively stable over time, esophageal stricture prevalence increased with advancing age. No prevalence differences were noticed between males and females. Gastroesophageal reflux disease/erosive esophagitis was the top diagnostic code associated with esophageal strictures, although an increase in the proportion of eosinophilic esophagitis codes was noted over time. Esophageal dilation codes were present in ∼50% of stricture cases. The total health care costs associated with esophageal strictures were estimated at $1.39 billion in 2017.

CONCLUSIONS

Esophageal strictures are common, affecting between 1/100 and 1/1000 patients in the United States, with the highest rates seen in patients aged 75 years and older. Accordingly, strictures have a significant financial burden on the health care system, with costs greater than $1 billion annually.

Prevalence of pediatric lower urinary tract symptoms in a national claims database of privately insured patients, 2003-2014

BACKGROUND

We conducted this study to estimate the prevalence of pediatric lower urinary tract symptoms (pLUTS) in a US privately insured pediatric population who are 6-20 years old by age, sex, race/ethnicity from 2003-2014. This has not been previously described in the literature.

METHODS

We retrospectively reviewed Optum's de-identified Clinformatics® Data Mart Database between 2003-2014. A pLUTS patient was defined by the presence of ≥ 1 pLUTS-related ICD-9 diagnosis code between the age of 6-20 years. Neurogenic bladder, renal transplant and structural urologic disease diagnoses were excluded. Prevalence by year was calculated as a proportion of pLUTS patients among the total population at risk. Variables reviewed included age, sex, race, geographic region, household factors and clinical comorbidities including attention-deficit/hyperactivity disorder (ADHD), constipation, and sleep apnea. Point of service (POS) was calculated as a proportion of pLUTS-related claims associated with a POS compared to the total claims at all POS in the time period.

RESULTS

We identified 282,427 unique patients with ≥ 1 claim for pLUTS between the ages of 6-20 years from 2003 to 2014. Average prevalence during this period was 0.92%, increasing from 0.63% in 2003 to 1.13% in 2014. The median age group of patients was 6-10 years. More patients were female (59.80%), white (65.97%), between 6 and 10 years old (52.18%) and resided in the Southern US (44.97%). Within a single household, 81.71% reported ≤ 2 children, and 65.53% reported ≥ 3 adults. 16.88% had a diagnosis of ADHD, 19.49% had a diagnosis of constipation and 3.04% had a diagnosis of sleep apnea. 75% of pLUTS-related claims were recorded in an outpatient setting.

CONCLUSIONS

Families consistently seek medical care in the outpatient setting for pLUTS. The demographic and clinical characteristics of our cohort reflect prior literature. Future studies can help define temporal relationships between household factors and onset of disease as well as characterize pLUTS-related healthcare resource utilization. Additional work is required in publicly insured populations.

Antihypertensive Medication Use before and during Pregnancy and the Risk of Severe Maternal Morbidity in Individuals with Prepregnancy Hypertension

OBJECTIVE

Our objective is to examine severe maternal morbidity (SMM) and patterns of antihypertensive medication use before and during pregnancy among individuals with chronic hypertension.

STUDY DESIGN

We examined 11,759 pregnancies resulting in a live birth or stillbirth to individuals with chronic hypertension and one or more antihypertensive prescription 6 months before pregnancy (Optum, 2007-17). We examined whether study outcomes were associated with the use of medication as compared to no use during pregnancy. In addition, patterns of medication use based on the Food and Drug Administration guidance and literature were evaluated. Medication use was divided into prepregnancy and during pregnancy use and classified as pregnancy recommended (PR) or not pregnancy recommended (nPR) or no medication use. SMM was defined per the Centers for Disease Control and Prevention definition of 21 indicators. Risk ratios (RR) reflecting the association of SMM with the use of antihypertensive medications were computed using modified Poisson regression with robust standard errors and adjusted for maternal age, education, and birth year.

RESULTS

Overall, 83% of individuals filled an antihypertensive prescription during pregnancy and 6.3% experienced SMM. The majority of individuals with a prescription prior to pregnancy had a prescription for the same medication in pregnancy. Individuals with any versus no medication use in pregnancy had increased adjusted RR (aRR) of SMM (1.18, 95% confidence interval [CI]: 0.96-1.44). Compared to the use of PR medications before and during pregnancy, aRRs were 1.42 (95% CI: 1.18-1.69, 12.4% of sample) for nPR use before and during pregnancy, 1.52 (1.23-1.86; 12.4%) for nPR (before) and PR (during) use, and 2.67 (1.73-4.15) for PR and nPR use. Patterns with no medication use during pregnancy were not statistically significant.

CONCLUSION

Pattern of antihypertensive medication use before and during pregnancy may be associated with an elevated risk of SMM. Further research is required to elucidate whether this association is related to the severity of hypertension, medication effectiveness, or suboptimal quality of care.

KEY POINTS

· Individuals with any medication use compared to no medication use in pregnancy had an increased risk of SMM.. · Specific medication use patterns were associated with an elevated risk of SMM.. · Pattern of antihypertensive medication use before and during pregnancy may be associated with an increased risk of SMM..

Implementation and Evaluation of a Breast Cancer Disease Model Using Real-World Claims Data in Germany from 2010 to 2020

Breast cancer is the leading cause of cancer-related mortality among women in Germany and worldwide. This retrospective claims data analysis utilizing data from AOK Baden-Wuerttemberg, a major statutory German health insurance provider, aimed to construct and assess a real-world data breast cancer disease model. The study included 27,869 female breast cancer patients and 55,738 age-matched controls, analyzing data from 2010 to 2020. Three distinct breast cancer stages were analyzed: Stage A (early breast cancer without lymph node involvement), Stage B (early breast cancer with lymph node involvement), and Stage C (primary distant metastatic breast cancer). Tumor subtypes were estimated based on the prescription of antihormonal or HER2-targeted therapy. The study established that 77.9% of patients had HR+ breast cancer and 9.8% HER2+; HR+/HER2- was the most common subtype (70.9%). Overall survival (OS) analysis demonstrated significantly lower survival rates for stages B and C than for controls, with 5-year OS rates ranging from 79.3% for stage B to 35.4% for stage C. OS rates were further stratified by tumor subtype and stage, revealing varying prognoses. Distant recurrence-free survival (DRFS) analysis showed higher recurrence rates in stage B than in stage A, with HR-/HER2- displaying the worst DRFS. This study, the first to model breast cancer subtypes, stages, and outcomes using German claims data, provides valuable insights into real-world breast cancer epidemiology and demonstrates that this breast cancer disease model has the potential to be representative of treatment outcomes.

Healthcare resource utilization and costs associated with hepatitis A in the United States: a retrospective database analysis

AIM

To investigate hepatitis A-related healthcare resource use and costs in the US.

METHODS

The Merative Marketscan Commercial Claims and Encounters database was retrospectively analyzed for hepatitis A-related inpatient, outpatient, and emergency department (ED) claims from January 1, 2012 to December 31, 2018. We calculated the hepatitis A incidence proportion per 100,000 enrollees, healthcare resource utilization, and costs (in 2020 USD). Results were stratified by age, gender, and select comorbidities.

RESULTS

The overall hepatitis A incidence proportion was 6.1 per 100,000 enrollees. Among individuals with ≥1 hepatitis A-related claim, the majority (92.6%) had ≥1 outpatient visit related to hepatitis A; 9.1% were hospitalized and 4.2% had ≥1 ED visit. The mean (standard deviation [SD]) length of hospital stay was 5.2 (8.1) days; the mean (SD) number of outpatient and ED visits were 1.3 (1.3) and 1.1 (0.6), respectively. The incidence proportion per 100,000 was higher among adults than children (7.5 vs. 1.5), individuals with HIV than those without (126.7 vs. 5.9), and individuals with chronic liver disease than those without (143.6 vs. 3.8). The total mean (SD)/median (interquartile range, IQR) per-patient cost for hepatitis A-related care was $2,520 ($10,899)/$156 ($74-$529) and the mean cost of hospitalization was 18.7 times higher than that of outpatient care ($17,373 vs. $928).

LIMITATIONS

The study data included only a commercially insured population and may not be representative of all individuals.

CONCLUSIONS

In conclusion, hepatitis A is associated with a substantial economic burden among privately insured individuals in the US.

Prevalence of pediatric lower urinary tract symptoms in a US population seeking medical care, 2003- 2014

Background

We conducted this study to estimate the prevalence of pediatric lower urinary tract symptoms (pLUTS) in a US privately-insured pediatric population who are 18 years of age or older by age, sex, race/ethnicity from 2003-2014. This has not been previously described in the literature.

Methods

We retrospectively reviewed Optum's de-identifed Clinformatics® Data Mart Database database between 2003-2014. A pLUTS patient was defined by the presence of ≥ 1 pLUTS-related ICD-9 diagnosis code between the age of 6-20 years. Neurogenic bladder, renal transplant and structural urologic disease diagnoses were excluded. Prevalence by year was calculated as a proportion of pLUTS patients among the total population at risk. Variables reviewed included age, sex, race, geographic region, household factors and clinical comorbidities including attention-deficit/hyperactivity disorder (ADHD), constipation, and sleep apnea. Point of service (POS) was calculated as a proportion of pLUTS-related claims associated with a POS compared to the total claims at all POS in the time period.

Results

We identified 282,427 unique patients with ≥ 1 claim for pLUTS between the ages of 6-20 years from 2003-2014. Average prevalence during this period was 0.92%, increasing from 0.63% in 2003 to 1.13% in 2014. Mean age was 12.15 years. More patients were female (59.80%), white (65.97%), between 6-10 years old (52.18%) and resided in the Southern US (44.97%). Within a single household, 81.71% reported ≤ 2 children, and 65.53% reported ≥ 3 adults. 16.88% had a diagnosis of ADHD, 19.49% had a diagnosis of constipation and 3.04% had a diagnosis of sleep apnea. 75% of pLUTS-related claims were recorded in an outpatient setting.

Conclusions

Families consistently seek medical care in the outpatient setting for pLUTS. The demographic and clinical characteristics of our cohort reflect prior literature. Future studies can help define temporal relationships between household factors and onset of disease as well as characterize pLUTS-related healthcare resource utilization. Additional work is required in publicly-insured populations.

The Association Between Hemoglobin A1c Levels and Inflatable Penile Prosthesis Infection: Analysis of US Insurance Claims Data

BACKGROUND

The association between elevated hemoglobin A1c (HbA1c) levels and the risk of postoperative infection after penile prosthesis surgery remains controversial.

AIM

To examine the association between HbA1c levels and penile implant infections in men undergoing inflatable penile prosthesis (IPP) surgery for erectile dysfunction using a large insurance claims database.

METHODS

This was a retrospective review using Optum's de-identified Clinformatics Data Mart Database. Male subjects 18 years and older with available laboratory data undergoing IPP insertion between 2003 and 2018 were included. Administrative diagnosis and procedural codes were used to assess subsequent penile implant revision surgery status for either infectious or noninfectious causes. Associated conditions were controlled for such as smoking status, hyperlipidemia, hypertension, obesity status, and Peyronie's disease.

OUTCOMES

The main outcomes were risk of revision for infection and time to revision.

RESULTS

A total of 2,363 individuals underwent initial IPP insertion and had available HbA1c data with a mean HbA1c of 6.9%. The overall IPP infection revision rate was 3.9% and the highest rate of 12.1% was seen in the highest HbA1c group (>10%). After adjusting for demographic and health factors, a higher HbA1c level was associated with a higher risk of revision for infection, with every 1 point increase in HbA1c conferring an increased risk of infection requiring revision by 29% (95% CI 17-42%). When infections did occur, they happened sooner in men with HbA1c > 10.0% with an average of 1.3 months vs 3.5 months in the HbA1c < 6.0% group.

CLINICAL IMPLICATIONS

These findings provide insight into the potential relationship between HbA1c levels and postoperative risk of infection after penile prosthesis surgery and may aid in clinical decision-making.

STRENGTHS AND LIMITATIONS

Strengths include the large sample size, length of data coverage, and real-world analysis of surgeries done across the United States. Limitations include the reliance on insurance claims data, the retrospective study design, and lack of additional relevant clinical variables that may impact infection rates.

CONCLUSIONS

While the overall risk of penile prosthesis infection remains modest, the current report notes an increased risk of infection for diabetic men with poor glycemic control. Chen T, Li S, Eisenberg ML. The Association Between Hemoglobin A1c Levels and Inflatable Penile Prosthesis Infection: Analysis of US Insurance Claims Data. J Sex Med 2021;18:1104-1109.

Methodology and Initial Results From a Real-World Observational Cohort of Patients With Inflammatory Bowel Disease: TARGET-IBD

Background

Data on care patterns for inflammatory bowel disease (IBD) from large-scale, diverse clinical cohorts in real-world practice are sparse. We developed a real-world cohort of patients receiving care at academic and community sites, for comparative study of therapies and natural history of IBD.

Methods

We describe novel methodology of central abstraction of clinical data into a real-world IBD registry with patient reported outcomes (PROs). Baseline demographics, clinical characteristics, healthcare utilization, and disease metrics were assessed. Bivariate statistics were used to compare demographic and clinical data by Crohn disease (CD) or ulcerative colitis (UC) and site of care (academic, community).

Results

In 1 year, 1343 IBD patients (60.1% CD, 38.9% UC) were recruited from 27 academic (49.5%) and community (50.5%) sites, exceeding expectations (110% enrolled). Most participants also consented to provide PROs (59.5%) or biosamples (85.7%). Overall, 48.7% of the cohort provided a baseline PRO, and 62.6% provided a biosample. Compared to UC, CD subjects had higher prior (34.1% CD vs 7.7% UC; P < 0.001) and current (72.1% vs 47.9%; P < 0.001) biologic utilization. CD participants from academic sites had more complicated disease than those from community sites (62.5% vs 46.8% stricturing/penetrating; 33.5% vs 27% perianal; 36.8% vs 14.5% prior biologic, respectively). Nearly all (90.4%) participants had endoscopic data of whom 37.7% were in remission. One-year retention was 98.4%.

Conclusions

Centralized data abstraction and electronic PRO capture provided efficient recruitment into a large real-world observational cohort. This novel platform provides a resource for clinical outcomes and comparative effectiveness research in IBD.

Analysis of MarketScan Data for Immunosuppressive Conditions and Hospitalizations for Acute Respiratory Illness, United States

Increasing use of immunosuppressive biologic therapies poses a challenge for infectious diseases. Immunosuppressed patients have a high risk for influenza complications and an impaired immune response to vaccines. The total burden of immunosuppressive conditions in the United States, including those receiving emerging biologic therapies, remains unknown. We used the national claims database MarketScan to estimate the prevalence of immunosuppressive conditions and risk for acute respiratory illnesses (ARIs). We studied 47.2 million unique enrollees, representing 115 million person-years of observation during 2012–2017, and identified immunosuppressive conditions in 6.2% adults 18–64 years of age and 2.6% of children <18 years of age. Among 542,105 ARI hospitalizations, 32% of patients had immunosuppressive conditions. The risk for ARI hospitalizations was higher among enrollees with immunosuppression than among nonimmunosuppressed enrollees. Future efforts should focus on developing improved strategies, including vaccines, for preventing influenza in immunosuppressed patients, who are an increasing population in the United States.

Heroin and healthcare: patient characteristics and healthcare prior to overdose

OBJECTIVES

To estimate heroin overdose trends among insured individuals and characterize patients and healthcare utilization preceding overdose to inform scale-up of effective prevention and treatment.

STUDY DESIGN

Retrospective descriptive analysis.

METHODS

We analyzed 2010 to 2014 IBM MarketScan Databases and calculated annual heroin overdose rates. For a subset of patients, we describe their comorbidities, where they accessed health services, and select prescription histories prior to their first heroin overdose.

RESULTS

Heroin overdose rates were much lower, but increased faster, among the commercially insured compared with Medicaid enrollees from 2010 to 2014 (270.0% vs 94.3%). By 2012, rates among the commercially insured aged 15 to 24 years reached the overall rates in the Medicaid population. All patients had healthcare encounters in the 6 months prior to their first heroin overdose; two-thirds of commercially insured patients had outpatient visits, whereas two-thirds of Medicaid patients had emergency department visits. One month prior to overdose, 24.5% of Medicaid and 8.6% of commercially insured patients had opioid prescriptions. Fewer Medicaid patients had buprenorphine prescriptions (17.8% vs 27.3%) despite similar rates of known substance-related disorders. A higher proportion of Medicaid patients had non-substance-related comorbidities.

CONCLUSIONS

Heroin overdose rates were persistently higher among the Medicaid population than the commercially insured, with the exception of those aged 15 to 24 years. Our findings on healthcare utilization, comorbidities, and where individuals access services could inform interventions at the point of care prior to a first heroin overdose. Outpatient settings are of particular importance for the growing cohort of young, commercially insured patients with opioid use disorders.

Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

BACKGROUND

Stroke is a leading cause of mortality and disability worldwide and the economic costs of treatment and post-stroke care are substantial. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic, comparable method of quantifying health loss by disease, age, sex, year, and location to provide information to health systems and policy makers on more than 300 causes of disease and injury, including stroke. The results presented here are the estimates of burden due to overall stroke and ischaemic and haemorrhagic stroke from GBD 2016.

METHODS

We report estimates and corresponding uncertainty intervals (UIs), from 1990 to 2016, for incidence, prevalence, deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs). DALYs were generated by summing YLLs and YLDs. Cause-specific mortality was estimated using an ensemble modelling process with vital registration and verbal autopsy data as inputs. Non-fatal estimates were generated using Bayesian meta-regression incorporating data from registries, scientific literature, administrative records, and surveys. The Socio-demographic Index (SDI), a summary indicator generated using educational attainment, lagged distributed income, and total fertility rate, was used to group countries into quintiles.

FINDINGS

In 2016, there were 5·5 million (95% UI 5·3 to 5·7) deaths and 116·4 million (111·4 to 121·4) DALYs due to stroke. The global age-standardised mortality rate decreased by 36·2% (-39·3 to -33·6) from 1990 to 2016, with decreases in all SDI quintiles. Over the same period, the global age-standardised DALY rate declined by 34·2% (-37·2 to -31·5), also with decreases in all SDI quintiles. There were 13·7 million (12·7 to 14·7) new stroke cases in 2016. Global age-standardised incidence declined by 8·1% (-10·7 to -5·5) from 1990 to 2016 and decreased in all SDI quintiles except the middle SDI group. There were 80·1 million (74·1 to 86·3) prevalent cases of stroke globally in 2016; 41·1 million (38·0 to 44·3) in women and 39·0 million (36·1 to 42·1) in men.

INTERPRETATION

Although age-standardised mortality rates have decreased sharply from 1990 to 2016, the decrease in age-standardised incidence has been less steep, indicating that the burden of stroke is likely to remain high. Planned updates to future GBD iterations include generating separate estimates for subarachnoid haemorrhage and intracerebral haemorrhage, generating estimates of transient ischaemic attack, and including atrial fibrillation as a risk factor.

FUNDING

Bill & Melinda Gates Foundation.

Bias in pharmacoepidemiologic studies using secondary health care databases: a scoping review

BACKGROUND

The availability of clinical and therapeutic data drawn from medical records and administrative databases has entailed new opportunities for clinical and epidemiologic research. However, these databases present inherent limitations which may render them prone to new biases. We aimed to conduct a structured review of biases specific to observational clinical studies based on secondary databases, and to propose strategies for the mitigation of those biases.

METHODS

Scoping review of the scientific literature published during the period 2000-2018 through an automated search of MEDLINE, EMBASE and Web of Science, supplemented with manually cross-checking of reference lists. We included opinion essays, methodological reviews, analyses or simulation studies, as well as letters to the editor or retractions, the principal objective of which was to highlight the existence of some type of bias in pharmacoepidemiologic studies using secondary databases.

RESULTS

A total of 117 articles were included. An increasing trend in the number of publications concerning the potential limitations of secondary databases was observed over time and across medical research disciplines. Confounding was the most reported category of bias (63.2% of articles), followed by selection and measurement biases (47.0% and 46.2% respectively). Confounding by indication (32.5%), unmeasured/residual confounding (28.2%), outcome misclassification (28.2%) and "immortal time" bias (25.6%) were the subcategories most frequently mentioned.

CONCLUSIONS

Suboptimal use of secondary databases in pharmacoepidemiologic studies has introduced biases in the studies, which may have led to erroneous conclusions. Methods to mitigate biases are available and must be considered in the design, analysis and interpretation phases of studies using these data sources.

Rheumatoid Arthritis-Interstitial Lung Disease in the United States: Prevalence, Incidence, and Healthcare Costs and Mortality

OBJECTIVE

Interstitial lung disease (ILD) is commonly associated with rheumatoid arthritis (RA) and can have significant morbidity and mortality. The objective of this study was to calculate the prevalence, incidence, healthcare costs, and mortality of RA-related ILD (RA-ILD) in the United States.

METHODS

This retrospective cohort analysis used the Truven Health MarketScan Commercial and Medicare Supplemental health insurance databases from 2003 to 2014 and the Social Security Administration death database. Patients with RA-ILD were selected based on diagnoses on medical claims. Outcomes were 1-year prevalence and incidence of RA-ILD among the general enrollee population, all-cause and respiratory-related healthcare costs (2014 US$), and all-cause survival for a subset of newly diagnosed patients with vital status information. This analysis was descriptive. No statistical testing was conducted.

RESULTS

Prevalence of RA-ILD ranged from 3.2 to 6.0 cases per 100,000 people across the 10-year period and incidence ranged from 2.7 to 3.8 cases per 100,000 people. There were 750 incident patients with 5 years of followup data. Over that time, 72% had an inpatient admission and 76% had an emergency room visit. Mean total 5-year costs were US$173,405 per patient (SD $158,837). Annual per-patient costs were highest in years 1 and 5. At 5 years after first diagnosis in the data, 35.9% of patients had died.

CONCLUSION

Prevalence of RA-ILD increased over time. For patients who could be followed over a 5-year period, healthcare use and costs were somewhat stable over time, but were substantial. RA-ILD is associated with decreased survival.

Real world big data for clinical research and drug development

The objective of this paper is to identify the extent to which real world data (RWD) is being utilized, or could be utilized, at scale in drug development. Through screening peer-reviewed literature, we have cited specific examples where RWD can be used for biomarker discovery or validation, gaining a new understanding of a disease or disease associations, discovering new markers for patient stratification and targeted therapies, new markers for identifying persons with a disease, and pharmacovigilance. None of the papers meeting our criteria was specifically geared toward novel targets or indications in the biopharmaceutical sector; the majority were focused on the area of public health, often sponsored by universities, insurance providers or in combination with public health bodies such as national insurers. The field is still in an early phase of practical application, and is being harnessed broadly where it serves the most direct need in public health applications in early, rare and novel disease incidents. However, these exemplars provide a valuable contribution to insights on the use of RWD to create novel, faster and less invasive approaches to advance disease understanding and biomarker discovery. We believe that pharma needs to invest in making better use of Electronic Health Records and the need for more precompetitive collaboration to grow the scale of this 'big denominator' capability, especially given the needs of precision medicine research.

Using insurance claims data to identify and estimate critical periods in pregnancy: An application to antidepressants

BACKGROUND

Health insurance claims are a rich data source to examine medication use in pregnancy. Our objective was to identify pregnant women, their pregnancy outcomes, and date of their last menstrual period (LMP), and to estimate antidepressant dispensations in pregnancy.

METHODS

From a literature search, we identified diagnosis and procedure codes indicating the end of a pregnancy. Using Truven Health MarketScan^® Commercial Claims and Encounters Databases, we identified all inpatient admissions and outpatient service claims with these codes. We developed an algorithm to assign: (1) pregnancy outcome (ectopic pregnancy, induced or spontaneous abortion, live birth, or stillbirth), and (2) estimated gestational age, to each inpatient or outpatient visit. For each pregnancy outcome, we estimated the LMP as the admission (for inpatient visits) or service (for outpatient visits) date minus the gestational age. To differentiate visits associated with separate pregnancies, we required ≥ 2 months between one pregnancy outcomes and the LMP of the next pregnancy. We used this algorithm to identify pregnancies in 2013 and to estimate the proportion of women who filled a prescription for an antidepressant from an outpatient pharmacy at various time points in pregnancy.

RESULTS

We identified 488,887 pregnancies in 2013; 79% resulted in a live birth. A prescription for an antidepressant was filled in 6.2% of pregnancies. Dispensations varied throughout pregnancy and were lowest (3.1%) during the second trimester.

CONCLUSION

This work will inform future efforts to estimate medication dispensations during critical periods of preconception, interconception, and pregnancy using health insurance claims data. Birth Defects Research (Part A) 106:927-934, 2016. © 2016 Wiley Periodicals, Inc.

Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

BACKGROUND

As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.

METHODS

We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER).

FINDINGS

Globally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57·6 million (95% uncertainty interval [UI] 40·8-75·9 million [7·2%, 6·0-8·3]), 45·1 million (29·0-62·8 million [5·6%, 4·0-7·2]), 36·3 million (25·3-50·9 million [4·5%, 3·8-5·3]), 34·7 million (23·0-49·6 million [4·3%, 3·5-5·2]), and 34·1 million (23·5-46·0 million [4·2%, 3·2-5·3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2·7% (95% UI 2·3-3·1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from non-communicable diseases has been growing rapidly across all SDI quintiles, partly because of population growth, but also the ageing of populations. The largest absolute increases in total numbers of YLDs globally were between the ages of 40 and 69 years. Age-standardised YLD rates for all conditions combined were 10·4% (95% UI 9·0-11·8) higher in women than in men. Iron-deficiency anaemia, migraine, Alzheimer's disease and other dementias, major depressive disorder, anxiety, and all musculoskeletal disorders apart from gout were the main conditions contributing to higher YLD rates in women. Men had higher age-standardised rates of substance use disorders, diabetes, cardiovascular diseases, cancers, and all injuries apart from sexual violence. Globally, we noted much less geographical variation in disability than has been documented for premature mortality. In 2016, there was a less than two times difference in age-standardised YLD rates for all causes between the location with the lowest rate (China, 9201 YLDs per 100 000, 95% UI 6862-11943) and highest rate (Yemen, 14 774 YLDs per 100 000, 11 018-19 228).

INTERPRETATION

The decrease in death rates since 1990 for most causes has not been matched by a similar decline in age-standardised YLD rates. For many large causes, YLD rates have either been stagnant or have increased for some causes, such as diabetes. As populations are ageing, and the prevalence of disabling disease generally increases steeply with age, health systems will face increasing demand for services that are generally costlier than the interventions that have led to declines in mortality in childhood or for the major causes of mortality in adults. Up-to-date information about the trends of disease and how this varies between countries is essential to plan for an adequate health-system response.

FUNDING

Bill & Melinda Gates Foundation, and the National Institute on Aging and the National Institute of Mental Health of the National Institutes of Health.

Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

BACKGROUND

Non-fatal outcomes of disease and injury increasingly detract from the ability of the world's population to live in full health, a trend largely attributable to an epidemiological transition in many countries from causes affecting children, to non-communicable diseases (NCDs) more common in adults. For the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015), we estimated the incidence, prevalence, and years lived with disability for diseases and injuries at the global, regional, and national scale over the period of 1990 to 2015.

METHODS

We estimated incidence and prevalence by age, sex, cause, year, and geography with a wide range of updated and standardised analytical procedures. Improvements from GBD 2013 included the addition of new data sources, updates to literature reviews for 85 causes, and the identification and inclusion of additional studies published up to November, 2015, to expand the database used for estimation of non-fatal outcomes to 60 900 unique data sources. Prevalence and incidence by cause and sequelae were determined with DisMod-MR 2.1, an improved version of the DisMod-MR Bayesian meta-regression tool first developed for GBD 2010 and GBD 2013. For some causes, we used alternative modelling strategies where the complexity of the disease was not suited to DisMod-MR 2.1 or where incidence and prevalence needed to be determined from other data. For GBD 2015 we created a summary indicator that combines measures of income per capita, educational attainment, and fertility (the Socio-demographic Index [SDI]) and used it to compare observed patterns of health loss to the expected pattern for countries or locations with similar SDI scores.

FINDINGS

We generated 9·3 billion estimates from the various combinations of prevalence, incidence, and YLDs for causes, sequelae, and impairments by age, sex, geography, and year. In 2015, two causes had acute incidences in excess of 1 billion: upper respiratory infections (17·2 billion, 95% uncertainty interval [UI] 15·4-19·2 billion) and diarrhoeal diseases (2·39 billion, 2·30-2·50 billion). Eight causes of chronic disease and injury each affected more than 10% of the world's population in 2015: permanent caries, tension-type headache, iron-deficiency anaemia, age-related and other hearing loss, migraine, genital herpes, refraction and accommodation disorders, and ascariasis. The impairment that affected the greatest number of people in 2015 was anaemia, with 2·36 billion (2·35-2·37 billion) individuals affected. The second and third leading impairments by number of individuals affected were hearing loss and vision loss, respectively. Between 2005 and 2015, there was little change in the leading causes of years lived with disability (YLDs) on a global basis. NCDs accounted for 18 of the leading 20 causes of age-standardised YLDs on a global scale. Where rates were decreasing, the rate of decrease for YLDs was slower than that of years of life lost (YLLs) for nearly every cause included in our analysis. For low SDI geographies, Group 1 causes typically accounted for 20-30% of total disability, largely attributable to nutritional deficiencies, malaria, neglected tropical diseases, HIV/AIDS, and tuberculosis. Lower back and neck pain was the leading global cause of disability in 2015 in most countries. The leading cause was sense organ disorders in 22 countries in Asia and Africa and one in central Latin America; diabetes in four countries in Oceania; HIV/AIDS in three southern sub-Saharan African countries; collective violence and legal intervention in two north African and Middle Eastern countries; iron-deficiency anaemia in Somalia and Venezuela; depression in Uganda; onchoceriasis in Liberia; and other neglected tropical diseases in the Democratic Republic of the Congo.

INTERPRETATION

Ageing of the world's population is increasing the number of people living with sequelae of diseases and injuries. Shifts in the epidemiological profile driven by socioeconomic change also contribute to the continued increase in years lived with disability (YLDs) as well as the rate of increase in YLDs. Despite limitations imposed by gaps in data availability and the variable quality of the data available, the standardised and comprehensive approach of the GBD study provides opportunities to examine broad trends, compare those trends between countries or subnational geographies, benchmark against locations at similar stages of development, and gauge the strength or weakness of the estimates available.

FUNDING

Bill & Melinda Gates Foundation.

Antidepressant Prescription Claims Among Reproductive-Aged Women With Private Employer-Sponsored Insurance - United States 2008-2013

Antidepressant medication use during pregnancy has been increasing in the United States (1). Many women require antidepressants on an ongoing basis, and a clear consensus on the safest medication options for both the mother and her fetus does not exist (2). Given that half of all U.S. pregnancies are unplanned (3), antidepressant use will occur during the first weeks of pregnancy, a critical period for fetal development. To understand trends among women of reproductive age, CDC used Truven Health's MarketScan Commercial Claims and Encounters data* to estimate the number of antidepressant prescriptions filled by women aged 15-44 years with private employer-sponsored insurance. During 2008-2013, an average of 15.4% of women aged 15-44 years filled at least one prescription for an antidepressant in a single year. The most frequently filled antidepressants included sertraline, bupropion, and citalopram. Prescribing of antidepressants is common, and research on antidepressant safety during pregnancy needs to be accelerated to provide evidence-based information to health care providers and women about the potential risks for antidepressant exposure before and during pregnancy and between pregnancies.

Cost-minimization analysis comparing intravenous immunoglobulin with plasma exchange in the management of patients with myasthenia gravis

INTRODUCTION

Myasthenia gravis (MG) exacerbations may be treated with intravenous immunoglobulin (IVIg) or plasma exchange (PLEX), which have equivalent effectiveness. This cost-minimization analysis compared IVIg with PLEX for treatment of patients with MG exacerbation.

METHODS

We combined the Ontario-based health cost data with clinical data from a randomized clinical trial. Analyses were undertaken from the perspective of a public healthcare insurer and from the perspective of a tertiary university hospital payer.

RESULTS

PLEX was less costly than IVIg among patients with a body mass index (BMI) > 15.7 kg/m(2) , from the perspective of the public healthcare insurer (P < 0.0001). However, PLEX was more costly than IVIg from the perspective of the hospital payer when the costs of blood products were excluded (P < 0.0001).

CONCLUSIONS

PLEX can be considered a short-term cost-minimizing therapy when compared with IVIg for treatment of MG exacerbation among patients with BMI >15.7 kg/m(2) , from the perspective of a public healthcare insurer. Muscle Nerve 53: 872-876, 2016.