Identifying individuals with undiagnosed post-traumatic stress disorder in a large United States civilian population - a machine learning approach.

BACKGROUND: The proportion of patients with post-traumatic stress disorder (PTSD) that remain undiagnosed may be substantial. Without an accurate diagnosis, these patients may lack PTSD-targeted treatments and experience adverse health outcomes. This study used a machine learning approach to identify and describe civilian patients likely to have undiagnosed PTSD in the US commercial population. METHODS: The IBM® MarketScan® Commercial Subset (10/01/2015-12/31/2018) was used. A random forest machine learning model was developed and trained to differentiate between patients with and without PTSD using non-trauma-based features. The model was applied to patients for whom PTSD status could not be confirmed to identify individuals likely and unlikely to have undiagnosed PTSD. Patient characteristics, symptoms and complications potentially related to PTSD, treatments received, healthcare costs, and healthcare resource utilization were described separately for patients with PTSD (Actual Positive PTSD cohort), patients likely to have PTSD (Likely PTSD cohort), and patients without PTSD (Without PTSD cohort). RESULTS: A total of 44,342 patients were classified in the Actual Positive PTSD cohort, 5683 in the Likely PTSD cohort, and 2,074,471 in the Without PTSD cohort. While several symptoms/comorbidities were similar between the Actual Positive and Likely PTSD cohorts, others, including depression and anxiety disorders, suicidal thoughts/actions, and substance use, were more common in the Likely PTSD cohort, suggesting that certain symptoms may be exacerbated among those without a formal diagnosis. Mean per-patient-per-6-month healthcare costs were similar between the Actual Positive and Likely PTSD cohorts ($11,156 and $11,723) and were higher than those of the Without PTSD cohort ($3616); however, cost drivers differed between cohorts, with the Likely PTSD cohort experiencing more inpatient admissions and less outpatient visits than the Actual Positive PTSD cohort. CONCLUSIONS: These findings suggest that the lack of a PTSD diagnosis and targeted management of PTSD may result in a greater burden among undiagnosed patients and highlights the need for increased awareness of PTSD in clinical practice and among the civilian population.

Patient and Care Partner Burden in CKD Patients With and Without Anemia: A US-Based Survey.

Rationale & Objective: Chronic kidney disease (CKD) has a far-reaching impact on both patients and care partners, which can be further compounded by frequent complications such as anemia. This study assessed the burden experienced by patients with CKD and the care partners of patients with CKD, with and without anemia. Study Design: Online survey. Setting & Participants: Adult patients with CKD and the care partners of adult patients with CKD living in the United States were recruited through the American Association of Kidney Patients and a third-party online panel (January 9, 2020-March 12, 2020). Outcomes: Patient and care partner characteristics, care received or provided; health-related quality of life, and work productivity. Analytical Approach: Descriptive statistics were reported separately based on the presence or absence of anemia. Results: In total, 410 patients (anemia: n=190, no anemia: n=220) and 258 care partners (anemia: n=110, no anemia: n=148) completed the survey. Most patients reported receiving paid or unpaid care because of their health condition (anemia: 58.9%, no anemia: 50.9%), with an overall average of 14.2 and 11.3 h/wk among the anemia and no anemia patients, respectively. The care partners also reported providing numerous hours of care (anemia: 33.6 h/wk, no anemia: 38.0 h/wk), especially care partners living with their care recipient (anemia: 52.6 h/wk, no anemia: 42.8 h/wk). Among the patients, those with anemia reported a numerically lower average health-related quality of life (Functional Assessment of Cancer Therapy-Anemia score, anemia: 110.1; no anemia: 121.6). Most care partners reported a severe or very severe burden (Burden Scale for Family Caregivers-Short Version score≥15, anemia: 69.1%; no anemia: 58.8%). The work productivity impairment was substantial among employed patients (anemia: 44.9%, no anemia: 35.4%) and employed care partners (anemia: 47.9%, no anemia: 40.7%). Limitations: The survey results may have been subject to selection and recall biases; moreover, the observational nature of the study does not allow for causal inferences. Conclusions: Patients with CKD and the care partners of patients with CKD experience a considerable burden, especially when anemia is present.

Healthcare costs among patients with macular oedema associated with non-infectious uveitis: a US commercial payer's perspective.

OBJECTIVE: To describe patient characteristics and healthcare costs associated with uveitic macular oedema (UME) in US clinical practices from a commercial payer's perspective. METHODS AND ANALYSIS: The IBM MarketScan Commercial Subset (1 October 2015-31 March 2020) was used to identify patients with non-infectious uveitis (NIU), with or without UME. Patients with UME at any time were further classified into subgroups of patients who received a UME diagnosis during the study period and those who received a UME diagnosis and local steroid injection (LSI) during the study period. Demographic and clinical characteristics, NIU-related treatments and healthcare costs were described for each cohort and subgroup during the most recent 12 months of continuous health plan enrolment. Healthcare costs were also described by vision status among all patients with NIU. RESULTS: A total of 36 322 patients with NIU were identified, of whom 3 301 (9.1%) had UME and 33 021 (90.9%) had no UME. Patients with UME more frequently received NIU-related treatment compared with those without UME (64.6% vs 45.0%), particularly LSI treatment (12.5% vs 0.7%). Mean total all-cause healthcare costs per-patient-per-year (PPPY) were higher among patients with UME ($19 851) than patients without UME ($16 188) and were especially high among those with bilateral UME ($24 162). Further, vision loss was more commonly observed in those with UME versus those without UME (5.7% vs 2.2%) and a trend of increasing healthcare costs with increasing vision loss was observed. CONCLUSION: NIU is associated with substantial clinical and economic burden, particularly when UME is present.

Costs associated with the administration of erythropoiesis-stimulating agents for the treatment of anemia in patients with non-dialysis-dependent chronic kidney disease: a US societal perspective.

BACKGROUND: Erythropoiesis-stimulating agents (ESAs) are commonly used to treat anemia due to chronic kidney disease (CKD). In addition to drug acquisition costs, the administration of ESAs can include direct and indirect costs due to the needle-based route of administration (eg, time spent by health care staff administering therapy, and patients' and caregivers' time spent receiving or assisting with therapy). However, a comprehensive assessment of the costs associated with the administration of ESAs is lacking. OBJECTIVE: To estimate the excess costs associated with the needle-based administration of ESAs for the treatment of anemia due to non-dialysis-dependent (NDD) CKD in the United States in 2019 from a societal perspective. METHODS: Excess costs associated with ESA administration were estimated as the sum of annual costs that could be avoided with the introduction of an oral treatment with comparable safety and efficacy to ESAs. Cost components included direct health care costs, transportation costs, and work productivity loss costs from the perspective of both patients and caregivers (as applicable). Costs were estimated based on scientific publications, governmental agencies, and the results of a recent survey of US patients and caregivers of patients with anemia and CKD. The setting of the administration (ie, at home vs in clinic), frequency of administration, and insurance type were considered. RESULTS: At the societal level, annual excess costs associated with ESA administration were estimated at $2.5 billion in the United States in 2019, based on an estimated 462,005 patients with anemia and NDD-CKD treated with ESAs. Overall, 94.4% ($2.4 billion) of these costs were incurred from in-clinic ESA administration. When stratifying costs by insurance type, Medicare-insured patients accounted for 79.4% ($2.0 billion) of total annual excess costs. The largest contributor to total annual excess costs was direct health care costs ($1.4 billion, 54.9%), followed by patient work productivity loss costs ($846 million, 33.9%), caregiver work productivity loss costs ($197 million, 7.9%), and transportation costs ($81 million, 3.3%). Total annual excess costs of in-clinic administration ranged from $2,572 per patient receiving monthly administration to $20,948 per patient receiving thrice-weekly administration, while the total annual excess costs of at-home administration ranged from $1,123 per patient receiving monthly administration to $2,109 per patient receiving thrice-weekly administration. At the ESA administration level (ie, for each ESA administration), total excess costs were estimated at $128 per in-clinic ESA administration and $7 per at-home ESA administration, excluding monitoring costs. CONCLUSIONS: The needle-based administration of ESAs in patients with NDD-CKD is associated with a substantial economic burden. The introduction of an oral treatment has the potential to result in important cost savings from a societal perspective. DISCLOSURES: This study was funded by Otsuka Pharmaceutical Development & Commercialization, Inc., and Akebia Therapeutics, Inc. The study sponsors participated in the study design, data collection, analysis, interpretation of the data, writing of the report, and in the decision to submit the manuscript for publication. Gauthier-Loiselle, Cloutier, Serra, Bungay, and Guérin are employees of Analysis Group, Inc., a consulting firm that received funding from Otsuka Pharmaceutical Development & Commercialization, Inc., for the conduct of this study. Michalopoulos was an employee of Otsuka Pharmaceutical Development & Commercialization, Inc., at the time the study was conducted. Szabo is an employee of Akebia Therapeutics, Inc.

Impact of agitation in long-term care residents with dementia in the United States.

OBJECTIVES: To describe characteristics and compare clinical outcomes including falls, fractures, infections, and neuropsychiatric symptoms (NPS) among long-term care residents with dementia with and without agitation. METHODS: A cross-sectional secondary analysis of administrative healthcare data was conducted whereby residents with dementia residing in a long-term care facility for ≥12 months were identified from the AnalytiCare LLC database (10/2010-06/2014) and were classified into mutually exclusive cohorts (Agitation Cohort or No-Agitation Cohort) based on available agitation-related symptoms. Entropy balancing was used to balance demographic and clinical characteristics between the two cohorts. The impact of agitation on clinical outcomes was compared between balanced cohorts using weighted logistic regression models. RESULTS: The study included 6,265 long-term care residents with dementia among whom, 3,313 were included in the Agitation Cohort and 2,952 in the No-Agitation Cohort. Prior to balancing, residents in the Agitation Cohort had greater dementia-related cognitive impairment and clinical manifestations compared to the No-Agitation Cohort. After balancing, residents with and without agitation, respectively, received a median of five and four distinct types of medications (including antipsychotics). Further, compared to residents without agitation, those with agitation were significantly more likely to have a recorded fall (OR = 1.58), fracture (OR = 1.29), infection (OR = 1.18), and other NPS (OR = 2.11). CONCLUSIONS: Agitation in long-term care residents with dementia was associated with numerically higher medication use and an increased likelihood of experiencing falls, fractures, infections, and additional NPS compared to residents without agitation, highlighting the unmet need for effective management of agitation symptoms in this population.

Vaso-occlusive crises and costs of sickle cell disease in patients with commercial, Medicaid, and Medicare insurance - the perspective of private and public payers.

AIM: To characterize vaso-occlusive crises (VOCs) and describe healthcare costs among commercially-insured, Medicaid-insured, and Medicare-insured patients with sickle cell disease (SCD). MATERIALS AND METHODS: The IBM Truven Health MarketScan Commercial (2000-2018), Medicaid Analytic eXtract (2008-2014), and Medicare Research Identifiable Files (2012-2016) databases were used to identify patients with ≥2 SCD diagnoses. Study measures were evaluated during a 12-month follow-up period, stratified by annual number of VOCs (i.e. 0, 1, and ≥2). RESULTS: Among 16,092 commercially-insured patients (mean age = 36.7 years), 35.3% had 1+ VOCs. Mean annual total all-cause healthcare costs were $15,747, $27,194, and $64,555 for patients with 0, 1, and 2+ VOCs, respectively. Total all-cause healthcare costs were mainly driven by inpatient (0 VOC = 31.0%, 1 VOC = 53.1%, 2+ VOCs = 65.4%) and SCD-related costs (0 VOC = 56.4%, 1 VOC = 78.4%, 2+ VOCs = 93.9%). Among 18,287 Medicaid-insured patients (mean age = 28.5 years, fee-for-service = 50.2%), 63.9% had 1+ VOCs. Mean annual total all-cause healthcare costs were $16,750, $29,880, and $64,566 for patients with 0, 1, and 2+ VOCs, respectively. Inpatient costs (0 VOC = 37.2%, 1 VOC = 64.3%, 2+ VOCs = 72.9%) and SCD-related costs (0 VOC = 60.9%, 1 VOC = 73.8%, 2+ VOCs = 92.2%) accounted for a significant proportion of total all-cause healthcare costs. Among 15,431 Medicare-insured patients (mean age = 48.2 years), 55.1% had 1+ VOCs. Mean annual total all-cause healthcare costs were $21,877, $29,250, and $58,308 for patients with 0, 1, and ≥2 VOCs, respectively. Total all-cause healthcare costs were mainly driven by inpatient (0 VOC = 47.9%, 1 VOC = 54.9%, 2+ VOCs = 67.5%) and SCD-related costs (0 VOC = 74.9%, 1 VOC = 84.4%, 2+ VOCs = 95.3%). LIMITATIONS: VOCs managed at home were not captured. Analyses were descriptive in an observational setting; thus, no causal relationships can be inferred. CONCLUSIONS: A high proportion of patients experienced VOCs across payers. Furthermore, inpatient and SCD-related costs accounted for a significant proportion of total all-cause healthcare costs, which increased with VOC frequency.