3 research outputs found

    Patient journey before and after a formal post-traumatic stress disorder diagnosis in adults in the United States – a retrospective claims study

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    To describe post-traumatic stress disorder (PTSD)-related symptoms and frequent psychiatric comorbidities, treatments received, healthcare resource utilization (HRU), and healthcare costs pre- and post-PTSD diagnosis among adults in the United States. Adults with PTSD who received a PTSD-related pharmacological treatment (selective serotonin reuptake inhibitor [SSRI], serotonin-norepinephrine reuptake inhibitor [SNRI], atypical antipsychotic [AA]) within 24 months of the first observed PTSD diagnosis (index date) were identified using MarketScan Commercial Database (2015–2020). Study outcomes were assessed during the 6-month pre-diagnosis and 24-month post-diagnosis periods. Subgroup analyses included patients treated or not treated with AAs post-PTSD diagnosis. Of the overall patients (N = 26,306; mean age at diagnosis 39.5 years; 73.3% female), 85.9% had PTSD-related symptoms and frequent psychiatric comorbidities during the 6 months pre-diagnosis. Patients treated with AAs post-PTSD diagnosis (N = 9,298) tended to have higher rates of PTSD-related symptoms and comorbidities at diagnosis than those not treated with AAs (N = 7,011). Following diagnosis, the most commonly observed first-line treatments were SSRI (67.4%), AA (23.4%), and SNRI (22.6%). The rate of PTSD-related symptoms and comorbidities, psychotherapy and pharmacological treatments received, HRU, and healthcare costs increased during the 6 months post-diagnosis relative to the 6 months pre-diagnosis and then declined over time during the 24 months post-diagnosis. The PTSD diagnosis was associated with increased rates of symptoms and frequent psychiatric comorbidities, psychotherapy and pharmacological treatments received, HRU, and healthcare costs, pointing to increased patient monitoring. Within 6 to 12 months after the PTSD diagnosis, these outcomes tended to reduce, perhaps as patients were obtaining targeted and effective care.</p

    A real-world assessment of healthcare costs associated with agitation in Alzheimer’s dementia

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    To describe and compare clinical characteristics, healthcare costs, and institutionalization/mortality outcomes among patients with and without agitation associated with Alzheimer’s dementia (AAD). Data from the Reliant Medical Group database (01/01/2016-03/31/2020) were used, including claims, electronic medical records, and clinical information/physician notes abstracted from medical charts. Patients aged ≥55 years with Alzheimer’s dementia (AD) were observed during a randomly selected 12-month study period after AD diagnosis. Using information recorded in medical charts, patients were classified into cohorts based on experiencing (agitation cohort) and not experiencing (no agitation cohort) agitated behaviours during the study period. Entropy balancing was used to create reweighted cohorts with similar characteristics. Study outcomes (patient demographic and clinical characteristics, treatments received, healthcare costs, institutionalization and death events) were compared between cohorts; agitation characteristics were described for the agitation cohort only. Among 711 patients included in the study, 240 were classified in the agitation cohort and 471 in the no agitation cohort. After reweighting, several comorbidities were more frequently observed in the agitation versus no agitation cohort, including infection, depression, and altered mental status. Use of antidepressants, anticonvulsants, antipsychotics, and antianxiety medications was more common in the agitation versus no agitation cohort. Common agitated behaviours included hitting (20.8%), pacing/aimless wandering (17.5%), and cursing/verbal aggression (15.0%). Total all-cause healthcare costs were $4287 per-patient-per-year higher in the agitation cohort versus no agitation cohort (p = 0.04), driven by higher inpatient costs. Death was more common and time to death and institutionalization were shorter in the agitation versus no agitation cohort. Results may not be generalizable to the US population with AD. Among patients with AD, agitation was associated with shorter time to death/institutionalization and increased comorbidities, medication use, and healthcare costs, highlighting the additional clinical and economic burden that agitation poses to patients and the healthcare system.</p

    Additional file 1 of Identifying individuals with undiagnosed post-traumatic stress disorder in a large United States civilian population – a machine learning approach

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    Additional file 1. Features used in the development of the random forest model. The “Full list” tab includes all 490 features that were available for modeling. This full list is broken down by category in the “Trauma indicators”, “Symptoms and complications”, “Other diagnoses”, and “Medications” tabs, which provide a description of how each predictor was defined. The “Importance scores” tab includes the 324 predictive features that were used to train the final random forest model (with the corresponding importance scores)
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