Safety profile of hypnotics or sedatives on community-dwelling older adults aged 75 or older in Japan: A retrospective propensity-matched cohort study

OBJECTIVE

The purpose of the study is to assess if daily use of hypnotics increases mortality, aspiration pneumonia and hip fracture among relatively healthy individuals aged 75 years or older who lead independent lives in the community.

METHOD AND PATIENTS

Of the adults aged 75 years or older residing in Hokkaido prefecture of Japan (n = 705,538), those who did not meet several exclusion criteria were eligible for generating propensity score-matched cohorts (n = 214,723). Exclusion criteria included co-prescribed medications acting on the central nervous system, diagnoses of malignant neoplasm, dementia, depression, etc. We compared 33,095 participants who were prescribed hypnotics for daily use (hypnotic group) with a propensity score-matched cohort without a prescription (control group). Participants were followed for more than 42 months.

RESULTS

During the 42-month follow-up period, the incidence of the three outcome measures in the hypnotics group was significantly higher than that in the control group (aspiration pneumonia p < 0.001, hip fracture p = 0.007, and all-cause mortality p < 0.001). Sensitivity analyses utilizing inverse probability weighting demonstrated hazard ratios of 1.083 [1.023-1.146] for mortality, 1.117 [1.014-1.230] for aspiration pneumonia, and 1.720 [1.559-1.897] for hip fracture. Meanwhile, the attribute risk differences were 2.7, 1.5, and 1.0 per 1000 patient-years, respectively.

CONCLUSIONS

Although daily use of hypnotics increased the risk of three events, their attribute risk differences were fewer than 3.0 per 1000 patient-years. The results will help provide guidance on whether it is reasonable to prescribe hypnotics to geriatric population aged 75 or older leading independent lives in the community.

CLINICAL TRIAL REGISTRATION

UMIN-CTR UMIN000048398.

Development and validation of claims-based algorithms for identifying hospitalized patients with COVID-19 and their severity in 2020 and 2021

BACKGROUND

This study aimed to develop and validate claims-based algorithms for identifying hospitalized patients with coronavirus disease (COVID-19) and the disease severity.

METHODS

We used claims data including all patients at the National Center for Global and Medicine Hospital between January 1, 2020, and December 31, 2021. The claims-based algorithms for three statuses with COVID-19 (hospitalizations, moderate or higher status, and severe status) were developed using diagnosis codes (ICD-10 code: U07.1, B34.2) and relevant medical procedure code. True cases were determined using the COVID-19 inpatient registry and electronic health records. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each algorithm at 6-month intervals.

RESULTS

Of the 75,711 total patients, number of true cases was 1,192 for hospitalizations, 622 for moderate or higher status, and 55 for severe status. The diagnosis code-only algorithm for hospitalization had sensitivities 90.4% to 94.9% and PPVs 9.3% to 19.4%. Among the algorithms consisting of both diagnosis codes and procedure codes, high sensitivity and PPV were observed during the following periods; 93.9% and 97.1% for hospitalization (January-June 2021), 90.4% and 87.5% for moderate or higher status (July-December 2021), and 92.3% and 85.7% for severe status (July-December 2020), respectively. Almost all algorithms had specificities and NPVs of approximately 99%.

CONCLUSIONS

The diagnosis code-only algorithm for COVID-19 hospitalization showed low validity throughout the study period. The algorithms for hospitalizations, moderate or higher status, and severe status with COVID-19, consisting of both diagnosis codes and procedure codes, showed high validity in some periods.

Using Insurance Claims Data to Estimate Blastomycosis Incidence, Vermont, USA, 2011-2020

The epidemiology of blastomycosis in Vermont, USA, is poorly understood. Using insurance claims data, we estimated the mean annual blastomycosis incidence was 1.8 patients/100,000 persons during 2011-2020. Incidence and disease severity were highest in north-central counties. Our findings highlight a need for improved clinical awareness and expanded surveillance.

Uterine leiomyomata claim rate estimates and demographic characteristics by county. Florida, 2010-2019

To describe the demographic characteristics and estimate the uterine leiomyomata claim rates (ULCRs) by women 18 years and older in Florida, we conducted a cross-sectional analysis of the 2010-2019 administrative claims for uterine leiomyomata and associated study variables (age, race, ethnicity, county of residence, anatomic site, length of stay, and additional diagnoses). ULCR ratios were estimated by race and ethnicity, using ULCR for non-Hispanic White women as the reference group. We identified 232,475 claims, most of which were among non-Hispanic White women in their forties. The overall ULCR estimate [95 percent CI] was 284.8 [284.21, 285.39] per 100,000 women 18 years and older, with a small, nonsignificant trend to increase over time (R2 = .310; p = .094). Black, Hispanic, and other women of color presented with higher ULCR ratios (4.84, 1.87, and 1.58, respectively). Urban counties had significantly higher ULCRs than suburban and rural counties. While non-Hispanic White women had the highest frequency of ULCRs, women of color-especially Black women-presented with significantly higher ULCR ratios. The epidemiologic profile of uterine leiomyomata in terms of age, race, ethnicity, and geographic location points to unmet healthcare needs among specific demographic and geographic groups of women in Florida.

Relationship between demographic characteristics and return-to-work for loss of income claimants at the Motor Vehicle Accident Fund, Botswana

BACKGROUND

The Motor Vehicle Accident (MVA) Fund Botswana compensates claimants who lose their incomes due to road traffic accidents. In Botswana, road traffic accidents are becoming more frequent, and the MVA Fund is experiencing escalating claims. We describe the demographic characteristics of loss of income (LOI) claimants of the MVA Fund Botswana. We assess whether demographic characteristics are related to return to work (RTW).

OBJECTIVE

We retrospectively reviewed records of MVA Fund claimants and extracted demographic information. We investigated the demographic profile and the relationship between demographic information and RTW.

METHODS

We reviewed 432 LOI claims received by MVA Fund from January 1, 2015 to December 31, 2020. We descriptively analysed the demographic profiles of claimants. We used a univariate analysis and multivariate logistic regression to determine the association between independent demographic variables and the dependent variable, RTW.

RESULTS

MVA Fund claimants were on average 37-years-old. Claimants were mostly from low-income socio-economic backgrounds. RTW was significantly associated with injury severity, type of injury, and having a RTW plan offer. The final predictors of RTW, using logistic regression, were time away from work and severity of injury.

CONCLUSION

In Botswana, claimants who had severe injuries and who stayed away from work for longer were less likely to RTW. The MVA Fund Botswana must recognise the demographic profiles of claimants which are likely to influence RTW.

Patients With Depression and/or Anxiety Having Arthroscopic Rotator Cuff Repair Show Decreased Number of Prescriptions and Number of Psychotherapy Sessions in the Year After Surgery

PURPOSE

To determine whether the utilization of psychological treatments changes after arthroscopic rotator cuff repair (RCR) for patients with preoperative depression and/or anxiety.

METHODS

The Truven Healthcare Marketscan database was used to identify patients who underwent arthroscopic RCR between January 2009 and December 2016. We included all patients with diagnosis codes associated with either depression or anxiety before RCR. Patients were excluded if they did not have complete insurance coverage for 1 year before or after surgery, or if they had arthroscopic RCR in the year before the index surgical procedure. We compared the proportion of patients with preoperative depression or anxiety who filled a prescription and had psychotherapy procedural codes in the year before and the year after arthroscopic RCR.

RESULTS

A total of 170,406 patients who underwent RCR were identified, of which depression and/or anxiety was found in 46,737 patients (43.7% male). Of the 46,737 patients, 19.6% filled a prescription for a depression/anxiety medication at least once in the year before surgery. Of this subset of patients, 41.5% did not fill a prescription for depression or anxiety medication after surgery, whereas 32.6% continued medication use but demonstrated a median 30-day reduction in the number of days' worth of medication. Similarly, 13.1% of patients were attending psychotherapy sessions preoperatively, but 76.6% of those patients either stopped or reduced the amount of psychotherapy sessions in the year following RCR.

CONCLUSIONS

The number of prescriptions and psychotherapy sessions decreased in the year after RCR for patients with preoperative diagnoses of depression and/or anxiety.

LEVEL OF EVIDENCE

Level IV, case series.

Patient-Level Exposure to Actionable Pharmacogenomic Medications in a Nationally Representative Insurance Claims Database

BACKGROUND

The prevalence of exposure to pharmacogenomic medications is well established but little is known about how long patients are exposed to these medications.

AIM

Our objective was to describe the amount of exposure to actionable pharmacogenomic medications using patient-level measures among a large nationally representative population using an insurance claims database.

METHODS

Our retrospective cohort study included adults (18+ years) from the IQVIA PharMetrics® Plus for Academics claims database with incident fills of 72 Clinical Pharmacogenetics Implementation Consortium level A, A/B, or B medications from January 2012 through September 2018. Patient-level outcomes included the proportion of days covered (PDC), number of fills, and average days supplied per fill over a 12-month period.

RESULTS

Over 1 million fills of pharmacogenetic medications were identified for 605,355 unique patients. The mean PDC for all medications was 0.21 (SD 0.3), suggesting patients were exposed 21% (77 days) of the year. Medications with the highest PDC (0.55-0.89) included ivacaftor, tamoxifen, clopidogrel, HIV medications, transplant medications, and statins; with the exception of statins, these medications were initiated by fewer patients. Pharmacogenomic medications were filled an average of 2.8 times (SD 3.0, range 1-81) during the year following the medication's initiation, and the average days supplied for each fill was 22.3 days (SD 22.4, range 1-180 days).

CONCLUSION

Patient characteristics associated with more medication exposure were male sex, older age, and comorbid chronic conditions. Prescription fill data provide patient-level exposure metrics that can further our understanding of pharmacogenomic medication utilization and help inform opportunities for pharmacogenomic testing.

Victims of human trafficking and exploitation in the healthcare system: a retrospective study using a large multi-state dataset and ICD-10 codes

Trafficking and exploitation for sex or labor affects millions of persons worldwide. To improve healthcare for these patients, in late 2018 new ICD-10 medical diagnosis codes were implemented in the US. These 13 codes include diagnosis of adult and child sexual exploitation, adult and child labor exploitation, and history of exploitation. Here we report on a database search of a large US health insurer that contained approximately 47.1 million patients and 0.9 million provider organizations, not limited to large medical systems. We reported on any diagnosis with the new codes between 2018-09-01 and 2022-09-01. The dataset was found to contain 5,262 instances of the ICD-10 codes. Regression analysis of the codes found a 5.8% increase in the uptake of these codes per year, representing a decline relative to 6.7% annual increase in the data. The codes were used by 1,810 different providers (0.19% of total) for 2,793 patients. Of the patients, 1,248 were recently trafficked, while the remainder had a personal history of exploitation. Of the recent cases, 86% experienced sexual exploitation, 14% labor exploitation and 0.8% both types. These patients were predominantly female (83%) with a median age of 20 (interquartile range: 15-35). The patients were characterized by persistently high prevalence of mental health conditions (including anxiety: 21%, post-traumatic stress disorder: 20%, major depression: 18%), sexually-transmitted infections, and high utilization of the emergency department (ED). The patients' first report of trafficking occurred most often outside of a hospital or emergency setting (55%), primarily during office and psychiatric visits.

The Impact of a Digital Weight Loss Intervention on Health Care Resource Utilization and Costs Compared Between Users and Nonusers With Overweight and Obesity: Retrospective Analysis Study

BACKGROUND

The Noom Weight program is a smartphone-based weight management program that uses cognitive behavioral therapy techniques to motivate users to achieve weight loss through a comprehensive lifestyle intervention.

OBJECTIVE

This retrospective database analysis aimed to evaluate the impact of Noom Weight use on health care resource utilization (HRU) and health care costs among individuals with overweight and obesity.

METHODS

Electronic health record data, insurance claims data, and Noom Weight program data were used to conduct the analysis. The study included 43,047 Noom Weight users and 14,555 non-Noom Weight users aged between 18 and 80 years with a BMI of ≥25 kg/m² and residing in the United States. The index date was defined as the first day of a 3-month treatment window during which Noom Weight was used at least once per week on average. Inverse probability treatment weighting was used to balance sociodemographic covariates between the 2 cohorts. HRU and costs for inpatient visits, outpatient visits, telehealth visits, surgeries, and prescriptions were analyzed.

RESULTS

Within 12 months after the index date, Noom Weight users had less inpatient costs (mean difference [MD] -US $20.10, 95% CI -US $30.08 to -US $10.12), less outpatient costs (MD -US $124.33, 95% CI -US $159.76 to -US $88.89), less overall prescription costs (MD -US $313.82, 95% CI -US $565.42 to -US $62.21), and less overall health care costs (MD -US $450.39, 95% CI -US $706.28 to -US $194.50) per user than non-Noom Weight users. In terms of HRU, Noom Weight users had fewer inpatient visits (MD -0.03, 95% CI -0.04 to -0.03), fewer outpatient visits (MD -0.78, 95% CI -0.93 to -0.62), fewer surgeries (MD -0.01, 95% CI -0.01 to 0.00), and fewer prescriptions (MD -1.39, 95% CI -1.76 to -1.03) per user than non-Noom Weight users. Among a subset of individuals with 24-month follow-up data, Noom Weight users incurred lower overall prescription costs (MD -US $1139.52, 95% CI -US $1972.21 to -US $306.83) and lower overall health care costs (MD -US $1219.06, 95% CI -US $2061.56 to -US $376.55) per user than non-Noom Weight users. The key differences were associated with reduced prescription use.

CONCLUSIONS

Noom Weight use is associated with lower HRU and costs than non-Noom Weight use, with potential cost savings of up to US $1219.06 per user at 24 months after the index date. These findings suggest that Noom Weight could be a cost-effective weight management program for individuals with overweight and obesity. This study provides valuable evidence for health care providers and payers in evaluating the potential benefits of digital weight loss interventions such as Noom Weight.

Persistence and Dose Escalation During Maintenance Phase and Use of Nonbiologic Medications Among Patients With Ulcerative Colitis Initiated on Ustekinumab in the United States

Background

Real-world data on treatment patterns among patients with ulcerative colitis (UC) initiated on ustekinumab are limited.

Methods

Adults with UC initiated on ustekinumab (index date) between 10/18/2019 and 04/31/2022 were selected from a deidentified health insurance claims database (Symphony Health, an ICON plc Company, PatientSource). Persistence (no gaps in days of supply >120 days), persistence while being corticosteroid-free (no corticosteroid use for ≥14 days of supply after a 90-day grace period from index date) and dose escalation (≥2 consecutive subcutaneous claims ≥100% above daily maintenance dose) were described during the maintenance phase using Kaplan-Meier analysis. Nonbiologic treatments, among patients with ≥2 ustekinumab claims within 90 days post-index and ≥6 months of follow-up, were compared with logistic models 6 months post- versus pre-ustekinumab initiation.

Results

6565 patients on ustekinumab entered the maintenance phase. At month 12 of the maintenance phase, 72.0% (95% confidence interval [CI]: 70.1%-73.9%) were persistent, 50.8% (95% CI: 48.7%-52.9%) were persistent and corticosteroid-free, and 19.2% (95% CI: 17.3%-21.3%) of patients had dose escalation. In the 6 months post- versus pre-ustekinumab initiation, the odds of nonbiologic medication use assessed in 4147 patients were significantly lower: 57% lower odds for corticosteroid, 46% for 60 cumulative days of corticosteroid, 42% for 5-aminosalicylic acid, and 24% for immunomodulators (all P < .001).

Conclusions

Most patients with UC reaching the maintenance phase on ustekinumab remained persistent after 12 months of maintenance therapy. Nonbiologic medication use post-ustekinumab initiation was significantly lower, notably for corticosteroids. Given the multiple complications associated with chronic corticosteroid use, this reduction can be seen as clinically relevant and informs treatment choice for patients with UC.

Critical Illness at 40: Still a Thorn in the Medical Director's Side

Critical illness insurance was introduced 40 years ago. Medical directors continue to be challenged and frustrated with the complexities that critical illness claims offer. This article provides insights into the continued issues and possible solutions.

Disparities in health condition diagnoses among aging transgender and cisgender medicare beneficiaries, 2008-2017

INTRODUCTION

The objective of this research is to provide national estimates of the prevalence of health condition diagnoses among age-entitled transgender and cisgender Medicare beneficiaries. Quantification of the health burden across sex assigned at birth and gender can inform prevention, research, and allocation of funding for modifiable risk factors.

METHODS

Using 2009-2017 Medicare fee-for-service data, we implemented an algorithm that leverages diagnosis, procedure, and pharmacy claims to identify age-entitled transgender Medicare beneficiaries and stratify the sample by inferred gender: trans feminine and nonbinary (TFN), trans masculine and nonbinary (TMN), and unclassified. We selected a 5% random sample of cisgender individuals for comparison. We descriptively analyzed (means and frequencies) demographic characteristics (age, race/ethnicity, US census region, months of enrollment) and used chi-square and t-tests to determine between- (transgender vs. cisgender) and within-group gender differences (e.g., TMN, TFN, unclassified) difference in demographics (p<0.05). We then used logistic regression to estimate and examine within- and between-group gender differences in the predicted probability of 25 health conditions, controlling for age, race/ethnicity, enrollment length, and census region.

RESULTS

The analytic sample included 9,975 transgender (TFN n=4,198; TMN n=2,762; unclassified n=3,015) and 2,961,636 cisgender (male n=1,294,690, female n=1,666,946) beneficiaries. The majority of the transgender and cisgender samples were between the ages of 65 and 69 and White, non-Hispanic. The largest proportion of transgender and cisgender beneficiaries were from the South. On average, transgender individuals had more months of enrollment than cisgender individuals. In adjusted models, aging TFN or TMN Medicare beneficiaries had the highest probability of each of the 25 health diagnoses studied relative to cisgender males or females. TFN beneficiaries had the highest burden of health diagnoses relative to all other groups.

DISCUSSION

These findings document disparities in key health condition diagnoses among transgender Medicare beneficiaries relative to cisgender individuals. Future application of these methods will enable the study of rare and anatomy-specific conditions among hard-to-reach aging transgender populations and inform interventions and policies to address documented disparities.

Incidence and Prevalence of Peripheral Arterial Disease in South Korea: Retrospective Analysis of National Claims Data

BACKGROUND

Peripheral arterial disease (PAD) causes blood vessel narrowing that decreases blood flow to the lower extremities, with symptoms such as leg pain, discomfort, and intermittent claudication. PAD increases risks for amputation, poor health-related quality of life, and mortality. It is estimated that more than 200 million people worldwide have PAD, although the paucity of PAD research in the East detracts from knowledge on global PAD epidemiology. There are few national data-based analyses or health care utilization investigations. Thus, a national data analysis of PAD incidence and prevalence would provide baseline data to enable health promotion strategies for patients with PAD.

OBJECTIVE

This study aims to identify South Korean trends in the incidence and prevalence of PAD and PAD treatment, in-hospital deaths, and health care utilization.

METHODS

This was a retrospective analysis of South Korean national claims data from 2009 to 2018. The incidence of PAD was determined by setting the years 2010 and 2011 as a washout period to exclude previously diagnosed patients with PAD. The study included adults aged ≥20 and <90 years who received a primary diagnosis of PAD between 2011 and 2018; patients were stratified according to age, sex, and insurance status for the incidence and prevalence analyses. Descriptive statistics were used to assess incidence, prevalence, endovascular revascularization (EVR) events, amputations, in-hospital deaths, and the health care utilization characteristics of patients with PAD.

RESULTS

Based on data from 2011 to 2018, there were an average of 124,682 and 993,048 incident and prevalent PAD cases, respectively, in 2018. PAD incidence (per 1000 persons) ranged from 2.68 to 3.09 during the study period. From 2012 to 2018, the incidence rate in both sexes showed an increasing trend. PAD incidence continued to increase with age. PAD prevalence (per 1000 persons) increased steadily, from 3.93 in 2011 to 23.55 in 2018. The number of EVR events varied between 933 and 1422 during the study period, and both major and minor amputations showed a decreasing trend. Health care utilization characteristics showed that women visited clinics more frequently than men, whereas men used tertiary and general hospitals more often than women.

CONCLUSIONS

The number of incident and prevalent PAD cases generally showed an increasing trend. Visits to tertiary and general hospitals were higher among men than women. These results indicate the need for attention not only to Western and male patients, but also to Eastern and female patients with PAD. The results are generalizable, as they are based on national claims data from the entire South Korean population, and they can promote preventive care and management strategies for patients with PAD in clinical and public health settings.

Are North Carolina clinicians delivering opioid use disorder treatment to Medicaid beneficiaries?

BACKGROUND AND AIMS

Medicaid is a public health insurance program in the United States that serves low-income individuals. Medicaid beneficiaries have elevated risk of opioid use disorder (OUD), yet face barriers to receiving medications for OUD (MOUD). To inform efforts to increase MOUD receipt among Medicaid beneficiaries, this study: (1) estimated Medicaid participation prevalence among clinicians authorized to prescribe buprenorphine and (2) estimated the association between clinician characteristics and OUD care delivery to Medicaid beneficiaries.

DESIGN, SETTING AND PARTICIPANTS

Retrospective study of North Carolina, USA licensed physicians, physician assistants and nurse practitioners. Licensure data from 2018 were merged with 2019 US Drug Enforcement Administration (DEA) data to identify clinicians who received the DEA waiver required to prescribe buprenorphine (n = 1714). Medicaid claims data were used to characterize clinician engagement in OUD care delivery.

MEASUREMENTS

Outcomes were indicators of any Medicaid professional claims and any Medicaid prescription claims for buprenorphine and/or naltrexone. Predictors included clinician characteristics (e.g. gender and race) and characteristics of clinicians' practice location (e.g. area opioid overdose death rate).

FINDINGS

Most waivered clinicians delivered services to Medicaid beneficiaries, ranging from 67.0% of behavioral health clinicians to 82.9% of specialist physicians. Among waivered clinicians with Medicaid professional claims, prevalence of prescribing buprenorphine to Medicaid beneficiaries ranged from 30.3% among specialist physicians to 51.6% among behavioral health clinicians. The probability of prescribing MOUD to Medicaid beneficiaries was higher among waivered clinicians identifying as male compared with female (8.5 percentage points, P = 0.004) or black compared with white (9.9 percentage points, P = 0.007), older clinicians (0.5 percentage point increase per year, P < 0.001) and clinicians in counties with a higher opioid overdose death rate (5.0 percentage point increase per additional death per 10 000 residents, P = 0.010).

CONCLUSIONS

Among clinicians in North Carolina, USA who are authorized to prescribe buprenorphine, 67-83% (depending on type of specialist) deliver services to Medicaid beneficiaries, but only 30-52% of those prescribe medications for opioid use disorder (OUD) to Medicaid beneficiaries. Engagement in OUD care delivery to Medicaid beneficiaries varies by clinician demographic and area characteristics.

Using health insurance claims data to assess long-term disease progression in a prostate cancer cohort

BACKGROUND

Long-term population-based cohort studies of men diagnosed with prostate cancer are limited. However, adverse outcomes can occur many years after treatment. Herein, we aim to assess the utility of using claims data to identify prostate cancer progression 10-15 years after diagnosis.

METHODS

The study population was derived from the North Carolina-Louisiana Prostate Cancer Project (PCaP). PCaP-North Carolina (NC) included 1031 men diagnosed with prostate cancer from 2004 to 2009. An initial follow-up with a survey and manual medical record abstraction occurred from 2008 to 2011 (Follow-up 1). Herein, we extended this follow-up with linkage to healthcare claims data from North Carolina (2011-2017) and a second, supplementary 10-year follow-up survey (2018-2020) (Follow-up 2). Vital statistics data also were utilized. Long-term oncological progression was determined using these data sources in combination with expert clinical input.

RESULTS

Among the 1031 baseline PCaP-NC participants, 652 were linked to medical claims. Forty-two percent of the men had insurance coverage for the entire 72 months of follow-up. In addition, 275 baseline participants completed the supplementary 10-year follow-up survey. Using all sources of follow-up data, we identified a progression event in 259 of 1031 (25%) men with more than 10 years of follow-up data after diagnosis.

CONCLUSIONS

Understanding long-term clinical outcomes is essential for improving the lives of prostate cancer survivors. However, access and utility of long-term clinical outcomes with claims alone remain a challenge due to individualized agreements required with each insurer for data access, lack of detailed clinical information, and gaps in insurance coverage. We were able to utilize claims data to determine long-term progression due to several unique advantages that included the availability of detailed baseline clinical characteristics and treatments, detailed manually abstracted clinical data at 5 years of follow-up, vital statistics data, and a supplementary 10-year follow-up survey.

Considerations for Observational Study Design: Comparing the Evidence of Opioid Use between Electronic Health Records and Insurance Claims

PURPOSE

Pharmacoepidemiology studies often use insurance claims and/or electronic health records (EHR) to capture information about medication exposure. The choice between these data sources has important implications.

METHODS

We linked EHR from a large academic health system (2015-2017) to Medicare insurance claims for patients undergoing surgery. Drug utilization was characterized based on medication order dates in the EHR, and prescription fill dates in Medicare claims. We compared opioid use measured in EHR orders to prescription claims in 4 time periods: 1) Baseline (182-d before surgery); 2) Perioperative period; 3) Discharge date; 4) Follow-up (90-d after surgery).

RESULTS

We identified 11,128 patients undergoing surgery. During baseline, 34.4% (EHR) vs 44.1% (claims) had evidence of opioid use, and 56.9% of all baseline use was reflected only in one data source. During the perioperative period, 78.8% (EHR) vs 47.6% (claims) had evidence of use. On the day of discharge, 59.6% (EHR) vs 45.5% (claims) had evidence of use, and 51.8% of all discharge use was reflected only in one data source. During follow-up, 4.3% (EHR) vs 10.4% (claims) were identified with prolonged opioid use following surgery with 81.4% of all prolonged use reflected only in one data source.

CONCLUSIONS

When characterizing opioid exposure, we found substantial discrepancies between EHR medication orders and prescription claims data. In all time periods assessed, most patients' use was reflected only in the EHR, or only in the claims, not both. The potential for misclassification of drug utilization must be evaluated carefully, and choice of data source may have large impacts on key study design elements. This article is protected by copyright. All rights reserved.

Short-Term Air Pollution Exposure and Risk of Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Korea: A National Time-Stratified Case-Crossover Study

We investigated the association between short-term exposure to air pollution and the risk of acute exacerbation of chronic obstructive pulmonary disease (AE-COPD) in seven metropolitan cities in Korea. We used national health insurance claims data to identify AE-COPD cases in 2015. We estimated short-term exposure to particulate matter (PM) with a diameter of ≤2.5 μm (PM_2.5), PM with diameters of ≤10 μm (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), and ozone (O₃) obtained from the Ministry of Environment. We conducted a time-stratified, case-crossover study to evaluate the effect of short-term exposure to air pollution on hospital visits for AE-COPD, using a conditional logistic regression model. The risk of hospital visits for AE-COPD was significantly associated with interquartile range increases in PM₁₀ in a cumulative lag model (lag 0–2, 0.35%, 95% confidence interval (CI) 0.06–0.65%; lag 0–3, 0.39%, 95% CI 0.01–0.77%). The associations were higher among patients who were men, aged 40–64 years, with low household income, and with a history of asthma. However, other air pollutants were not significantly associated with the risk of hospital visits for AE-COPD. Short-term exposure to air pollution, especially PM₁₀, increases the risk of hospital visits for AE-COPD.

Development and Validation of the Asthma Exacerbation Risk Score Using Claims Data

OBJECTIVE

Pediatric asthma is a costly and complex disease with proven interventions to prevent exacerbations. Finding the patients at highest risk of exacerbations is paramount given limited resources. Insurance claims identify all outpatient, inpatient, emergency, pharmacy, and diagnostic services. The objective was to develop a risk score indicating the likelihood of asthma exacerbation within the next year based on prior utilization.

METHODS

A retrospective analysis of insurance claims for patients 2 to 18 years in a network in Massachusetts with 3 years of continuous enrollment in a commercial plan. Thirty-six potential predictors of exacerbation in the third year were assessed with a stepwise regression. Retained predictors were weighted relative to their contribution to asthma exacerbation risk and summed to create the Asthma Exacerbation Risk (AER) score.

RESULTS

In a cohort of 28,196 patients, there were 10 predictors associated with the outcome of having an asthma exacerbation in the next year that depend on age, meeting the Healthcare Effectiveness Data and Information Set persistent asthma criteria, fill patterns of asthma medications and oral steroids, counts of nonexacerbation outpatient visits, an exacerbation in the last 6 months, and whether spirometry was performed. The AER score is calculated monthly from a claims database to identify potential patients for an asthma home-visiting program.

CONCLUSIONS

The AER score assigns a risk of exacerbation within the next 12 months using claims data to identify patients in need of preventive services.

Surgical and Pharmacological Treatment Patterns in Women with Endometriosis: A Descriptive Analysis of Insurance Claims

Background: Many women with endometriosis experience chronic abdominal pain. Clinical guidelines recommend treatment with analgesics, contraceptive hormones, gonadotropin-releasing hormone analogs, and surgery. Treatment patterns in women with endometriosis are not well characterized. Methods: Data from the IBM^® MarketScan^® Commercial Database were accessed from 2009 to 2017. One-year baseline and follow-up periods were defined around the date of the first claim with a diagnosis of endometriosis (the index date). Women 18-49 years of age on the index date with a diagnosis of endometriosis, continuous enrollment during baseline and follow-up, and pharmacy benefits were included. The following outcomes were analyzed descriptively: baseline comorbidities; medication use and surgeries; and sequence of treatment utilization in the baseline and the follow-up period. Results: A total of 190,921 women were included. The mean ± (standard deviation) age was 39.0 ± (7.3), and abdominal/pelvic pain (36.0%) and excessive or frequent menstruation (32.0%) were the most prevalent comorbidities. In the baseline period, the utilization of pharmacological treatment was: estrogen/progestin 42.5%, opioids 41.5%, and nonsteroidal anti-inflammatory drugs (NSAIDs) 37.5%. In the follow-up period, utilization of opioids and NSAIDs increased to 68.9% and 51.1%, respectively, whereas the use of estrogen/progestin dropped to 23.8%. Surgeries were infrequent in the baseline period (6.3%). However, in the follow-up period, 27.9% of women underwent laparoscopy and 29.7% had a hysterectomy, with a total of 68.1% of the study population undergoing surgical treatment. Conclusions: A diagnosis of endometriosis is accompanied by an increase in the use of analgesics and surgical procedures. The diversity of treatments suggests a lack of clarity in management guidelines.

HIV Viral Suppression and Pre-exposure Prophylaxis in HIV and Syphilis Contact Tracing Networks: An Analysis of Disease Surveillance and Prescription Claims Data

BACKGROUND

HIV and syphilis contact tracing networks offer efficient platforms for HIV treatment and prevention interventions, but intervention coverage within these networks has not been characterized.

SETTING

HIV and syphilis sexual contact tracing networks among men who have sex with men (MSM) in North Carolina (NC).

METHODS

Using surveillance data, we identified 2 types of "network events" that occurred between January 2013 and June 2017 among MSM in NC: being diagnosed with early syphilis or being named as a recent sexual contact of a person diagnosed with HIV or early syphilis. We estimated prevalent and incident HIV viral suppression among persons diagnosed with HIV before the network event, and we assessed the effect of contact tracing services on a 6-month cumulative incidence of viral suppression among previously HIV-diagnosed, virally unsuppressed persons. Using linked prescription claims data, we also evaluated prevalent and incident pre-exposure prophylaxis (PrEP) use in an insured subset of HIV-negative network members.

RESULTS

Viral suppression prevalence among previously HIV-diagnosed persons was 52.6%. The 6-month cumulative incidence of viral suppression was 35.4% overall and 13.1 (95% confidence interval: 8.8 to 17.4) percentage points higher among persons reached than among those not reached by contact tracing services. Few HIV-negative persons had prevalent (5.4%) or incident (4.1%) PrEP use in the 6 months before or after network events, respectively.

CONCLUSIONS

Suboptimal viral suppression and PrEP use among MSM in NC in HIV/syphilis contact tracing networks indicate a need for intensified intervention efforts. In particular, expanded services for previously HIV-diagnosed persons could improve viral suppression and reduce HIV transmission within these networks.

Is the routine health information system ready to support the planned national health insurance scheme in South Africa?

Implementation of a National Health Insurance (NHI) in South Africa requires a reliable, standardized health information system that supports Diagnosis-Related Groupers for reimbursements and resource management. We assessed the quality of inpatient health records, the availability of standard discharge summaries and coded clinical data and the congruence between inpatient health records and discharge summaries in public-sector hospitals to support the NHI implementation in terms of reimbursement and resource management. We undertook a cross-sectional health-records review from 45 representative public hospitals consisting of seven tertiary, 10 regional and 28 district hospitals in 10 NHI pilot districts representing all nine provinces. Data were abstracted from a randomly selected sample of 5795 inpatient health records from the surgical, medical, obstetrics and gynaecology, paediatrics and psychiatry departments. Quality was assessed for 10 pre-defined data elements relevant to NHI reimbursements, by comparing information in source registers, patient folders and discharge summaries for patients admitted in March and July 2015. Cohen's/Fleiss' kappa coefficients (κ) were used to measure agreements between the sources. While 3768 (65%) of the 5795 inpatient-level records contained a discharge summary, less than 835 (15%) of diagnoses were coded using ICD-10 codes. Despite most of the records having correct patient identifiers [κ: 0.92; 95% confidence interval (CI) 0.91-0.93], significant inconsistencies were observed between the registers, patient folders and discharge summaries for some data elements: attending physician's signature (κ: 0.71; 95% CI 0.67-0.75); results of the investigation (κ: 0.71; 95% CI 0.69-0.74); patient's age (κ: 0.72; 95% CI 0.70-0.74); and discharge diagnosis (κ: 0.92; 95% CI 0.90-0.94). The strength of agreement for all elements was statistically significant (P-value ≤ 0.001). The absence of coded inpatient diagnoses and identified data inaccuracies indicates that existing routine health information systems in public-sector hospitals in the NHI pilot districts are not yet able to sufficiently support reimbursements and resource management. Institutional capacity is needed to undertake diagnostic coding, improve data quality and ensure that a standard discharge summary is completed for every inpatient.

A cross-sectional survey of hospitalization and blood tests implementation status in patients who received tolvaptan under 75 years of age using a Japanese claims database

BACKGROUND

Hypernatremia and liver injury are typical adverse effects of tolvaptan. Therefore, hospitalization and frequent monitoring of serum sodium concentration and liver function are necessary for tolvaptan initiation. We performed a cross-sectional survey to evaluate these situations.

RESEARCH DESIGN AND METHODS

We employed the Japanese claims database, which contains data of patients aged < 75 years. Patients who were newly prescribed tolvaptan for fluid accumulation induced by chronic heart failure (FA-CHF) or liver cirrhosis (FA-LC) from January 2011 to June 2017 were included. We evaluated the hospitalization status and implementation of serum sodium and liver function tests in the evaluation period, based on the Japanese package insert.

RESULTS

Of 1,173 patients, 347 and 117 were enrolled in FA-CHF and FA-LC groups, respectively. Among them, 10.7% (FA-CHF group) and 5.13% (FA-LC group) were prescribed tolvaptan without hospitalization. In the FA-CHF group, 11.0% and 17.6% did not undergo serum sodium and liver function tests even once in the evaluation period, respectively, compared with 12.0% and 12.8% in the FA-LC group.

CONCLUSIONS

Our results highlight the deviation from Japanese package insert recommendations. This approach can be applied to other drugs and provides important perspectives on pharmacovigilance research.

Estimating the Frequency of Lyme Disease Diagnoses, United States, 2010-2018

By using commercial insurance claims data, we estimated that Lyme disease was diagnosed and treated in ≈476,000 patients in the United States annually during 2010–2018. Our results underscore the need for accurate diagnosis and improved prevention.

What health records data are required for accurate prediction of suicidal behavior?

OBJECTIVE

The study sought to evaluate how availability of different types of health records data affect the accuracy of machine learning models predicting suicidal behavior.

MATERIALS AND METHODS

Records from 7 large health systems identified 19 061 056 outpatient visits to mental health specialty or general medical providers between 2009 and 2015. Machine learning models (logistic regression with penalized LASSO [least absolute shrinkage and selection operator] variable selection) were developed to predict suicide death (n = 1240) or probable suicide attempt (n = 24 133) in the following 90 days. Base models were used only historical insurance claims data and were then augmented with data regarding sociodemographic characteristics (race, ethnicity, and neighborhood characteristics), past patient-reported outcome questionnaires from electronic health records, and data (diagnoses and questionnaires) recorded during the visit.

RESULTS

For prediction of any attempt following mental health specialty visits, a model limited to historical insurance claims data performed approximately as well (C-statistic 0.843) as a model using all available data (C-statistic 0.850). For prediction of suicide attempt following a general medical visit, addition of data recorded during the visit yielded a meaningful improvement over a model using all data up to the prior day (C-statistic 0.853 vs 0.838).

DISCUSSION

Results may not generalize to setting with less comprehensive data or different patterns of care. Even the poorest-performing models were superior to brief self-report questionnaires or traditional clinical assessment.

CONCLUSIONS

Implementation of suicide risk prediction models in mental health specialty settings may be less technically demanding than expected. In general medical settings, however, delivery of optimal risk predictions at the point of care may require more sophisticated informatics capability.

Healthcare Costs and Resource Use of Patients with Dupuytren Contracture Treated with Collagenase Clostridium Histolyticum or Fasciectomy: A Propensity Matching Analysis

Objective

Studies examining differences in US healthcare resource utilization (HCRU) and associated healthcare costs between collagenase clostridium histolyticum (CCH) and fasciectomy for Dupuytren contracture (DC) are limited. This study evaluated US HCRU and direct healthcare cost for the treatment of DC in privately insured patients using insurance claims.

Methods

This retrospective observational cohort study analyzed data from large nationwide insurance claims databases; it included individuals diagnosed with DC between July 1, 2011, and June 30, 2017, who were adults at index date (date of first treatment: CCH or fasciectomy). Participants had continuous health plan coverage 24 months pre-index and 12 months post-index date. All-cause and DC-related HCRU and healthcare costs from the payers’ perspective were compared between propensity score–matched cohorts. Generalized linear models assessed factors associated with all-cause total healthcare costs.

Results

Of 83,983 patients diagnosed with DC, 1932 adults receiving fasciectomy and 953 adults receiving CCH were included. The mean ± standard deviation total all-cause healthcare cost was significantly lower with CCH than with fasciectomy (US$11,897 ± US$14,633 versus US$15,528 ± US$22,254, respectively; P<0.001). After propensity score matching, 702 and 999 patients remained in the CCH and fasciectomy cohorts, respectively. In this analysis, all-cause and DC-related total costs were significantly lower in the CCH cohort versus the fasciectomy cohort (all-cause: US$11,044 ± US$12,856 versus US$12,912 ± US$19,237, respectively, P=0.02; DC-specific: US$3417 ± US$3671 versus US$5800 ± US$4985, P<0.001), mainly due to the lower frequency of outpatient visits. CCH treatment and the use of a consumer-driven healthcare plan were associated with lower healthcare costs.

Conclusion

Based on matched cohort data, adjusted 1-year healthcare costs for CCH-treated individuals were significantly lower compared with costs for fasciectomy-treated individuals.

Veridical Causal Inference using Propensity Score Methods for Comparative Effectiveness Research with Medical Claims

Medical insurance claims are becoming increasingly common data sources to answer a variety of questions in biomedical research. Although comprehensive in terms of longitudinal characterization of disease development and progression for a potentially large number of patients, population-based inference using these datasets require thoughtful modifications to sample selection and analytic strategies relative to other types of studies. Along with complex selection bias and missing data issues, claims-based studies are purely observational, which limits effective understanding and characterization of the treatment differences between groups being compared. All these issues contribute to a crisis in reproducibility and replication of comparative findings using medical claims. This paper offers practical guidance to the analytical process, demonstrates methods for estimating causal treatment effects with propensity score methods for several types of outcomes common to such studies, such as binary, count, time to event and longitudinally-varying measures, and also aims to increase transparency and reproducibility of reporting of results from these investigations. We provide an online version of the paper with readily implementable code for the entire analysis pipeline to serve as a guided tutorial for practitioners. The online version can be accessed at https://rydaro.github.io/. The analytic pipeline is illustrated using a sub-cohort of patients with advanced prostate cancer from the large Clinformatics TM Data Mart Database (OptumInsight, Eden Prairie, Minnesota), consisting of 73 million distinct private payer insurees from 2001-2016.

Development and validation of a claims-based measure of abortion services

RATIONALE

Data on abortion services are critical for monitoring trends in access and utilization, evaluating policies, and examining a wide range of research questions. Accurate and timely data, however, can be difficult to obtain for abortion services. Oregon is one of several states that use state funds to finance abortion services in their Medicaid programmes. Oregon's Medicaid programme contracts with managed care plans that receive global budgets to provide care. Abortion services, however, must be billed directly to the state through fee-for-service (FFS) billing to ensure that federal funds are not used. In this study, we identify possible abortions using Medicaid insurance claims data from Oregon and categorize identified abortions as high, medium, or low confidence according to convergent validity analysis of FFS billing.

METHODS

We used individually linked Medicaid eligibility and claims data from women ages 15 to 44 enrolled in Oregon's Medicaid programme from 2008 to 2013. Abortion-related Medicaid claims were identified and categorized based on diagnosis, procedure, and drug codes. These categories were assessed for convergent validity by examining FFS billing for possible abortions to women enrolled in managed care plans.

RESULTS

In total, 23 763 possible abortions obtained by 18 518 women were classified with high (n = 21 450), medium (n = 562), and low (n = 1751) confidence. Among managed care abortions, more than 99% of high confidence abortions were billed on an FFS basis compared with 72% of medium confidence and <1% of low confidence abortions. The majority of high confidence abortions were to urban-residing (89%) white (73%) women.

CONCLUSIONS

Research on abortion services using insurance claims has important implications for women's health care and public health policy. A high-quality claims-based measure can facilitate monitoring the provision of abortion services within health systems and evaluation of initiatives to increase equitable abortion access.

The Financial Impact of Genetic Diseases in a Pediatric Accountable Care Organization

Background: Previous studies revealed patients with genetic disease have more frequent and longer hospitalizations and therefore higher healthcare costs. To understand the financial impact of genetic disease on a pediatric accountable care organization (ACO), we analyzed medical claims from 2014 provided by Partners for Kids, an ACO in partnership with Nationwide Children's Hospital (NCH; Columbus, OH, USA). Methods: Study population included insurance claims from 258,399 children. We assigned patients to four different categories (1-A, 1-B, 2, & 3) based on the strength of genetic basis of disease. Results: We identified 22.7% of patients as category 1A or 1B- having a disease with a "strong genetic basis" (e.g., single gene diseases, chromosomal abnormalities). Total ACO paid claims in 2014 were $379M, of which $161M (42.5%) was attributed to category 1 patients. Furthermore, we identified 23.3% of patients as category 2- having a disease with a suspected genetic component or predisposition (e.g., asthma, type 1 diabetes)- whom accounted for an additional 28.6% of 2014 costs. Category 1 patients were more likely to experience at least one hospitalization compared to category 3 patients- those without genetic disease [odds ratio [OR] = 4.12; 95% confidence interval [CI] = 3.86-4.39; p < 0.0001]. Overall, category 1 patients experienced nearly five times the number of inpatient (IP) admissions and twice the number of outpatient (OP) visits compared to category 3 patients (p < 0.0001). Conclusion: Nearly half (42.5%) of healthcare paid claims cost in 2014 for this study population were accounted for by patients with single-gene diseases or chromosomal abnormalities. These findings precede and support a need for an ACO to plan for effective healthcare strategies and capitation models for children with genetic disease.

Can artificial intelligence help identify elder abuse and neglect?

A health care encounter is a potentially critical opportunity to detect elder abuse and initiate intervention. Unfortunately, health care providers currently very seldom identify elder abuse. Through development of advanced data analytics techniques such as machine learning, artificial intelligence has the potential to dramatically improve elder abuse identification in health care settings.

Hazard of complex regional pain syndrome following human papillomavirus vaccination among adolescent girls in the United States: a case-cohort analysis of insurance claims data

Objectives: Complex regional pain syndrome (CRPS) cases have followed human papillomavirus (HPV) vaccination, but no causal link has been established.Methods: Using insurance claims, the authors observed unvaccinated 11-year-old girls for CRPS diagnoses. The authors used time-dependent Cox regression to identify health-related CRPS predictors using diagnosis codes. Next, the authors identified HPV vaccinations using procedural codes. HPV vaccination and CRPS predictors were considered time-dependent covariates to estimated adjusted hazard ratios (HR) and 95% confidence intervals (CI) for CRPS, 30, 90, and 180-days post-vaccination.Results: 1,232,572 girls received 563 unique CRPS diagnoses. In a 10% sub-cohort of 123,981 girls accounting for potential confounders and predisposing risk factors (i.e. injury, infection, mental illness, primary care use), CRPS hazard was not significantly elevated 30 days (HR: 0.90, 95% CI: 0.46, 1.73), 90 days (HR: 1.17, 95% CI: 0.83, 1.65), or 180-days post-vaccination (HR: 1.11, 95% CI: 0.83, 1.47).Conclusion: The results support the safety and continued administration of HPV vaccines to adolescents.

Novel Data Linkages to Characterize Palliative and End-Of-Life Care: Challenges and Considerations

CONTEXT

Working groups have called for linkages of existing and diverse databases to improve quality measurement in palliative and end-of-life (EOL) care, but limited data are available on the challenges of using different data sources to measure such care.

OBJECTIVES

To assess concordance of data obtained from different sources in a novel linkage of death certificates, electronic health records (EHRs), cancer registry data, and insurance claims for patients who died with cancer.

METHODS

We joined a database of Washington State death certificates and EHR to a data repository of commercial health plan enrollment and claims files linked to registry records from Puget Sound Cancer Surveillance System. We assessed care in the last month including hospitalizations, intensive care unit (ICU) admissions, emergency department visits, imaging scans, radiation, and hospice, plus chemotherapy in the last 14 days. We used a Chi-squared test to compare differences between health care in EHR and claims.

RESULTS

Records of hospitalization, ICU use, and emergency department use were 33%, 15%, and 33% lower in EHR versus claims, respectively. Radiation, hospice, and imaging were 6%, 14%, and 28% lower, respectively, in EHR, but chemotherapy was 4% higher than that in claims. These differences were statistically different for hospice (P < 0.02), hospitalization, ICU, ER, and imaging (all P < 0.01) but not radiation (P = 0.12) or chemotherapy (P = 0.29).

CONCLUSION

We found substantial variation between EHR and claims for EOL health-care use. Reliance on EHR will miss some health-care use, while claims will not capture the complex clinical details in EHR that can help define the quality of palliative care and EOL health-care utilization.

Estimating the Health Status of Privately Insured Gender Minority Children and Adults

Purpose: The purpose of this study was to characterize the health status of privately insured gender minority individuals. Methods: We created a diagnosis-based algorithm to identify gender minority children and adults in the 2009-2015 IBM^® MarketScan^® Commercial Database. We compared the age-adjusted health status among individuals with and without gender minority-related diagnosis codes. Results: The percentage of the privately insured population with gender minority-related diagnosis codes increased from 0.004% in 2009 to 0.026% in 2015. Age-adjusted analyses demonstrated that individuals with gender minority-related diagnosis codes were more likely to have diagnoses for mental health disorders (odds ratio [OR] = 8.5; 95% confidence interval [CI] = 8.1-9.0), substance use disorders (OR = 3.4; 95% CI = 2.9-3.9), and diabetes (OR = 1.4; 95% CI = 1.2-1.6), driven by high prevalence of these conditions among individuals younger than 18 years. Conclusions: Our findings highlight a markedly greater prevalence of mental health and substance use disorder diagnoses among privately insured gender minority individuals. These results establish a reference point for evaluating the impact of federal- and state-level policies that ban health insurance discrimination based on gender identity on the health and health care use of gender minority individuals.

Non-HIV Comorbid Conditions and Polypharmacy Among People Living with HIV Age 65 or Older Compared with HIV-Negative Individuals Age 65 or Older in the United States: A Retrospective Claims-Based Analysis

The number of people living with HIV (PLWH) ≥65 years is increasing in the United States. By 2035, the proportion of PLWH in this age group is projected to be 27%. As PLWH live longer, they face age-related comorbidities. We compared non-HIV disease and medication burden among PLWH (n = 2359) and HIV-negative individuals (n = 2,010,513) ≥65 years using MarketScan® Medicare Supplemental health insurance claims from 2009 to 2015. Outcomes were common diagnoses and medication classes, prevalence of non-HIV conditions, number of non-HIV conditions, and daily non-antiretroviral therapy (ART) medications over a 1-year period. We examined age-standardized prevalence rates and prevalence ratios (PRs) and fit multivariable generalized linear models, stratified by sex. PLWH were younger (mean 71 vs. 76 years) and a larger proportion were men (81% vs. 45%). The most common diagnoses among both cohorts were hypertension and dyslipidemia. Most non-HIV conditions were more prevalent among PLWH. The largest absolute difference was in anemia (29.6 cases per 100 people vs.11.7) and the largest relative difference was in hepatitis C (PR = 22.0). Unadjusted mean number of non-HIV conditions and daily non-ART medications were higher for PLWH (4.61 conditions and 3.79 medications) than HIV-negative individuals (3.94 and 3.41). In models, PLWH had significantly more non-HIV conditions than HIV-negative individuals [ratios: men = 1.272, (95% confidence interval, 1.233-1.312); women = 1.326 (1.245-1.413)]. Among those with >0 daily non-ART medications, men with HIV had significantly more non-ART medications than HIV-negative men [ratio = 1.178 (1.133-1.226)]. The disease burden associated with aging is substantially higher among PLWH, who may require additional services to effectively manage HIV and comorbid conditions.

Mortality and healthcare costs in Medicare beneficiaries with AL amyloidosis

AIMS

Examine mortality and healthcare costs in Medicare beneficiaries with newly diagnosed immunoglobulin light chain (AL) amyloidosis.

PATIENTS & METHODS

Cases were identified in 2012-2015 Medicare 5% data with ≥1 inpatient/≥2 outpatient claims consistent with AL amyloidosis and ≥1 AL-specific treatment. Cases were matched 3:1 with disease-free controls. Descriptive statistics were reported.

RESULTS

A total of 249 (33.3%) cases were matched to 747 (66.7%) controls. A total of 19.7% of cases died within 1 year of follow-up versus 5.5% of controls; 30.6 versus 11.8% died within 2 years (p < 0.001). Mean (SD) costs in 1-year of follow-up were significantly higher among cases versus controls ($71,040 [65,766] vs $13,722 [27,493]; p < 0.001).

CONCLUSION

Mortality was nearly four-times higher, and costs nearly five-times higher in beneficiaries with AL amyloidosis versus controls.

First-line systemic treatment adherence, healthcare resource utilization, and costs in patients with gastrointestinal neuroendocrine tumors (GI NETs) in the USA

AIMS

To assess treatment adherence, healthcare resource utilization, and costs in gastrointestinal neuroendocrine tumor (GI NET) patients initiating pharmacologic treatments in the US.

METHODS

In two US commercial claims databases, patients ≥18 years with ≥1 inpatient or ≥2 outpatient GI NET claims within 12 months were identified. The first claim for pharmacologic treatments (e.g. somatostatin analogs [SSAs], cytotoxic chemotherapy [CC], targeted therapy [TT]) following diagnosis, between July 1, 2009 - December 31, 2014, was defined as the index date. A 6-month pre-index NET treatment-free period, and ≥1-year post-index enrollment were required. Proportion of days covered (PDC) was calculated during the follow-up period. Outcomes were reported separately for patients with 1- and 2-years post-index enrollment. Descriptive statistics, including means, standard deviations, and frequencies and percentages for continuous and categorical data, respectively, were reported.

RESULTS

Of 1,322 patients with 1-year follow-up, 847 initiated SSA, 397 CC, 35 TT, two interferon, and 41 various combinations. Mean (SD) PDC was 0.669 (0.331) for SSA, 0.466 (0.236) for CC, and 0.505 (0.328) for TT. Mean (SD) office visits and hospitalizations, respectively, were 20.5 (13.5) and 0.59 (1.03) for SSA, 30.5 (19.8) and 0.89 (1.45) for CC, and 17.7 (12.5) and 1.23 (1.93) for TT. Total annual cost for patients during year 1 was $99,691 (82,423) for SSA, $134,912 (116,078) for CC, and $158,397 (82,878) for TT. Among 685 patients with 2-years follow-up, annual mean costs in year 2 were $8,071, $58,944, and $36,248 lower than year 1 for SSA, CC, and TT, respectively.

LIMITATIONS

Findings may not be generalizable to the US population. Claims are designed for reimbursement, not research. The study may under-estimate costs not covered by insurance.

CONCLUSION

This study reports utilization and costs associated with different treatment therapies. Costs were higher in year 1 than year 2. This two-database study offers new information on the magnitude and trends in the cost of pharmacologically-treated GI NETs.

Do We Need to Rethink the Epidemiology and Healthcare Utilization of Parkinson's Disease in Germany?

Epidemiological aspects of Parkinson's disease (PD), co-occurring diseases and medical healthcare utilization of PD patients are still largely elusive. Based on claims data of 3.7 million statutory insurance members in Germany in 2015 the prevalence and incidence of PD was determined. PD cases had at least one main hospital discharge diagnosis of PD, or one physician diagnosis confirmed by a subsequent or independent diagnosis or by PD medication in 2015. Prevalence of (co-)occurring diseases, mortality, and healthcare measures in PD cases and matched controls were compared. In 2015, 21,714 prevalent PD cases (standardized prevalence: 511.4/100,000 persons) and 3,541 incident PD cases (standardized incidence: 84.1/100,000 persons) were identified. Prevalence of several (co-)occurring diseases/complications, e.g., dementia (PD/controls: 39/13%), depression (45/22%), bladder dysfunction (46/22%), and diabetes (35/31%), as well as mortality (10.7/5.8%) differed between PD cases and controls. The annual healthcare utilization was increased in PD cases compared to controls, e.g., regarding mean ± SD physician contacts (15.2 ± 7.6/12.2 ± 7.3), hospitalizations (1.3 ± 1.8/0.7 ± 1.4), drug prescriptions (overall: 37.7 ± 24.2/21.7 ± 19.6; anti-PD medication: 7.4 ± 7.4/0.1 ± 0.7), assistive/therapeutic devices (47/30%), and therapeutic remedies (57/16%). The standardized prevalence and incidence of PD in Germany as well as mortality in PD may be substantially higher than reported previously. While frequently diagnosed with co-occurring diseases/complications, such as dementia, depression, bladder dysfunction and diabetes, the degree of healthcare utilization shows large variability between PD patients. These findings encourage a rethinking of the epidemiology and healthcare utilization in PD, at least in Germany. Longitudinal studies of insurance claims data should further investigate the individual and epidemiological progression and healthcare demands in PD.

Physical Therapy as the First Point of Care to Treat Low Back Pain: An Instrumental Variables Approach to Estimate Impact on Opioid Prescription, Health Care Utilization, and Costs

OBJECTIVE

To compare differences in opioid prescription, health care utilization, and costs among patients with low back pain (LBP) who saw a physical therapist (PT) at the first point of care, at any time during the episode or not at all.

DATA SOURCES

Commercial health insurance claims data, 2009-2013.

STUDY DESIGN

Retrospective analyses using two-stage residual inclusion instrumental variable models to estimate rates for opioid prescriptions, imaging services, emergency department visits, hospitalization, and health care costs.

DATA EXTRACTION

Patients aged 18-64 years with a new primary diagnosis of LBP, living in the northwest United States, were observed over a 1-year period.

PRINCIPAL FINDINGS

Compared to patients who saw a PT later or never, patients who saw a PT first had lower probability of having an opioid prescription (89.4 percent), any advanced imaging services (27.9 percent), and an Emergency Department visit (14.7 percent), yet 19.3 percent higher probability of hospitalization (all p < .001). These patients also had significantly lower out-of-pocket costs, and costs appeared to shift away from outpatient and pharmacy toward provider settings.

CONCLUSIONS

When LBP patients saw a PT first, there was lower utilization of high-cost medical services as well as lower opioid use, and cost shifts reflecting the change in utilization.

Injury Scheme Claims in Gaelic Games: A Review of 2007-2014

CONTEXT

Gaelic games (Gaelic football and hurling) are indigenous Irish sports with increasing global participation in recent years. Limited information is available on longitudinal injury trends. Reviews of insurance claims can reveal the economic burden of injury and guide cost-effective injury-prevention programs.

OBJECTIVE

To review Gaelic games injury claims from 2007-2014 for male players to identify the costs and frequencies of claims. Particular attention was devoted to lower limb injuries due to findings from previous epidemiologic investigations of Gaelic games.

DESIGN

Descriptive epidemiology study.

SETTING

Open-access Gaelic Athletic Association Annual Reports from 2007-2014 were reviewed to obtain annual injury-claim data.

PATIENTS OR OTHER PARTICIPANTS

Gaelic Athletic Association players.

MAIN OUTCOME MEASURE(S)

Player age (youth or adult) and relationships between lower limb injury-claim rates and claim values, Gaelic football claims, hurling claims, youth claims, and adult claims.

RESULTS

Between 2007 and 2014, €64 733 597.00 was allocated to 58 038 claims. Registered teams had annual claim frequencies of 0.36 with average claim values of €1158.4 ± 192.81. Between 2007 and 2014, average adult claims were always greater than youth claims (6217.88 versus 1036.88), while Gaelic football claims were always greater than hurling claims (5395.38 versus 1859.38). Lower limb injuries represented 60% of all claims. The number of lower limb injury claims was significantly correlated with annual injury-claim expenses (r = 0.85, P = .01) and adult claims (r = 0.96, P = .01) but not with youth claims (r = 0.69, P = .06).

CONCLUSIONS

Reducing lower limb injuries will likely reduce injury-claim expenses. Effective injury interventions have been validated in soccer, but whether such changes can be replicated in Gaelic games remains to be investigated. Injury-claim data should be integrated into current elite injury-surveillance databases to monitor the cost effectiveness of current programs.