The high-cost, type 2 diabetes mellitus patient: an analysis of managed care administrative data

BACKGROUND: Type 2 diabetes mellitus (T2DM) affects 25.8 million individuals in the United States and exerts a substantial economic burden on patients, health care systems, and society. Few studies have categorized costs and resource use at the patient level. The goals of this study were to assess predictors of being a high-cost (HC) patient and compare HC T2DM patients with not high-cost (NHC) T2DM patients. METHODS: Using managed care administrative claims data, patients with two or more T2DM diagnoses between 2005 and 2010 were selected. Patients were followed for 1 year after their first observed T2DM diagnosis; patients not continuously enrolled during this period were excluded from the study. Study measures included annual health care expenditures by component (i.e., inpatient, outpatient, pharmacy, total). Patients accruing total costs in the top 10% of the overall cost distribution (i.e., patients with costs > $20,528) were classified as HC a priori; all other patients were considered NHC. To assess predictors of being HC, a logistic regression model was estimated, accounting for demographics; underlying comorbidity burden (using the Charlson Comorbidity Index [CCI] score); diagnoses of renal impairment, obesity, or hypertension; and receipt of insulin, oral antidiabetics only, or no antidiabetics. RESULTS: A total of 1,720,041 patients met the inclusion criteria; 172,004 were HC. The mean (SD) CCI score for HC patients was 4.3 (3.0) versus 2.1 (1.7) for NHC patients. Mean (SD; upper 95$56,468 ($65,604;$56,778-$56,157) among HC patients and$4,674 ($4,504;$4,695-$4,652) among NHC patients. Inpatient care and pharmacy costs were higher for HC patients than for NHC patients. The strongest predictor of being an HC patient was having a CCI score of 2 or greater (odds ratio [OR] = 4.896), followed by a diagnosis of obesity (OR = 2.106), renal impairment (OR = 2.368), and insulin use (OR = 2.098). CONCLUSIONS: High-cost T2DM patients accrue approximately$52,000 more in total annual health care costs than not high-cost T2DM patients. Patients were significantly more likely to be high-cost if they had comorbid conditions, a diagnosis of obesity, or used insulin

Factors Impacting Age of Diagnosis of Autism Spectrum Disorder

Earlier diagnosis of Autism Spectrum Disorder (ASD) is related to optimal outcomes (Turner, Stone, Pozdol, & Coonrod, 2006), but may be impacted by demographic variables (e.g., parental income, gender, race; Fountain, King, & Bearman, 2011). The contribution of system-level factors (e.g., service access, type of diagnosing professional, co-occurring conditions) is unclear. This study examined factors impacting age of ASD diagnosis for 105 children (6-17 years-old). Linear regression results indicate children receive ASD diagnoses later if they live in the Midwest United States (β=2.24, p\u3c .05) or another country (β=4.08, p\u3c .05) compared to the Northeast United States. Age of diagnosis was also later for diagnoses by psychologists compared to pediatricians (β=1.54, p\u3c .05), or in cases of co-occurring mood disorders (β=3.02, p\u3c .01). Children who received developmental services (Occupational Therapy, Physical Therapy, Speech Therapy) were diagnosed earlier (β=-1.93, p\u3c .05) compared to those who had never received these services. Unlike past research, parental income, race, and ASD symptom severity were not related to age of ASD diagnosis. Systems-level variables best account for age of ASD diagnosis and should be considered in efforts to reduce barriers to care.https://orb.binghamton.edu/research_days_posters_spring2020/1009/thumbnail.jp

Assessing Medication Adherence and Healthcare Utilization and Cost Patterns Among Hospital-Discharged Patients with Schizoaffective Disorder

BACKGROUND: Hospital-discharged patients with schizoaffective disorder have a high risk of re-hospitalization. However, limited data exist evaluating critical post-discharge periods during which the risk of re-hospitalization is significant. OBJECTIVE: Among hospital-discharged patients with schizoaffective disorder, we assessed pharmacotherapy adherence and healthcare utilization and costs during sequential 60-day clinical periods before schizoaffective disorder-related hospitalization and post-hospital discharge. METHODS: From the MarketScan(®) Medicaid database (2004–2008), we identified patients (≥18 years) with a schizoaffective disorder-related inpatient admission. Study measures including medication adherence and healthcare utilization and costs were assessed during sequential preadmission and post-discharge periods. We conducted univariate and multivariable regression analyses to compare schizoaffective disorder-related and all-cause healthcare utilization and costs (in 2010 US dollars) between each adjacent 60-day post-discharge periods. No adjustment was made for multiplicity. RESULTS: We identified 1,193 hospital-discharged patients with a mean age of 41 years. The mean medication adherence rate was 46 % during the 60-day period prior to index inpatient admission, which improved to 80 % during the 60-day post-discharge period. Following hospital discharge, schizoaffective disorder-related healthcare costs were significantly greater during the initial 60-day period compared with the 61- to 120-day post-discharge period (mean US$2,370 vs US$1,765; p < 0.001), with rehospitalization (36 %) and pharmacy (40 %) accounting for over three-fourths of the initial 60-day period costs. Compared with the initial 60-day post-discharge period, both all-cause and schizoaffective disorder-related costs declined during the 61- to 120-day post-discharge period and remained stable for the remaining post-discharge periods (days 121–365). CONCLUSIONS: We observed considerably lower (46 %) adherence during 60 days prior to the inpatient admission; in comparison, adherence for the overall 6-month period was 8 % (54 %) higher. Our study findings suggest that both short-term (e.g., 60 days) and long-term (e.g., 6–12 months) medication adherence likely are important characteristics to examine among patients with schizoaffective disorder and help provide a more holistic view of patients’ adherence patterns. Furthermore, we observed a high rate of rehospitalization and greater healthcare costs during the initial 60-day period post-discharge among patients with schizoaffective disorder. Further research is required to better understand and manage transitional care after discharge (e.g., monitor adherence), which may help reduce the likelihood of rehospitalization and the associated downstream costs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40258-014-0095-8) contains supplementary material, which is available to authorized users

Two Poems

Poems include: poultry and table manners for when the sex simmers

Antipsychotic Adherence Patterns and Health Care Utilization and Costs Among Patients Discharged After a Schizophrenia-Related Hospitalization

This study aimed to assess antipsychotic adherence patterns and all-cause and schizophrenia-related health care utilization and costs sequentially during critical clinical periods (i.e., before and after schizophrenia-related hospitalization) among Medicaid-enrolled patients experiencing a schizophrenia-related hospitalization

Impact of antiepileptic-drug treatment burden on health-care-resource utilization and costs

Krithika Rajagopalan,1 Sean D Candrilli,2 Mayank Ajmera2 1Sunovion Pharmaceuticals Inc, Marlborough, MA 01752, USA; 2RTI Health Solutions, Research Triangle Park, NC 27709, USA Background: Complex titration requirements and dosing of antiepileptic drugs (AEDs) may pose a significant treatment burden for patients with epilepsy. This study evaluated health-care-resource utilization (HCRU) rates and costs by treatment burden, defined as number of daily pills and dosing frequency, among managed-care enrollees with epilepsy who initiated AED monotherapy. Methods: This retrospective longitudinal study examined administrative HC-claim data in patients aged &ge;18 years with two or more pharmacy claims for an AED and two or more medical claims for epilepsy or afebrile convulsion. The number of daily AED pills was estimated at index as the total number of pills dispensed divided by the days supplied, and categorized as more than zero/one, one/two, two/three, and more than three per day. AED-dosing frequency was measured at index and categorized as one, two, three, or four times daily. Postindex 12-month all-cause and epilepsy-related HCRU and costs were estimated using multivariable Poisson regression models and generalized linear models, respectively. Results: Unadjusted total all-cause and epilepsy-related costs at 12 months postindex averaged US$26,015 per person and US$5,557 per person (2017 values), respectively. Adjusted all-cause and epilepsy-related costs were US$25,918 per person and US$5,602 per person, respectively. A pill burden of more than three a day was associated with a 6.7% increase in total annual HC costs compared with one pill/day. Patients receiving one/two, two/three, and more than three pills per day had 13.3%, 23.9%, and 38.3% higher epilepsy-related costs, respectively, than those receiving one pill per day (P&lt;0.0001). Increase in dosing frequency was associated with greater total HCRU and higher costs, but only patients with twice-daily dosing had significantly higher epilepsy-related costs. Conclusion: Findings from this study suggest that increased treatment burden is associated with greater HCRU and higher overall and epilepsy-related costs. Reducing treatment burden via selection of AED therapy with reduced pill numbers and dosing frequency should be considered to improve health and economic outcomes. Keywords: antiepileptic drugs, health-care-resource utilization, treatment burden, epilepsy-related cost

The inpatient burden of abdominal and gynecological adhesiolysis in the US

<p>Abstract</p> <p>Background</p> <p>Adhesions are fibrous bands of scar tissue, often a result of surgery, that form between internal organs and tissues, joining them together abnormally. Postoperative adhesions frequently occur following abdominal surgery, and are associated with a large economic burden. This study examines the inpatient burden of adhesiolysis in the United States (i.e., number and rate of events, cost, length of stay [LOS]).</p> <p>Methods</p> <p>Hospital discharge data for patients with primary and secondary adhesiolysis were analyzed using the 2005 Healthcare Cost and Utilization Project's Nationwide Inpatient Sample. Procedures were aggregated by body system.</p> <p>Results</p> <p>We identified 351,777 adhesiolysis-related hospitalizations: 23.2% for primary and 76.8% for secondary adhesiolysis. The average LOS was 7.8 days for primary adhesiolysis. We found that 967,332 days of care were attributed to adhesiolysis-related procedures, with inpatient expenditures totaling $2.3 billion ($1.4 billion for primary adhesiolysis; $926 million for secondary adhesiolysis). Hospitalizations for adhesiolysis increased steadily by age and were higher for women. Of secondary adhesiolysis procedures, 46.3$220 million in attributable costs.</p> <p>Conclusions</p> <p>Adhesiolysis remain an important surgical problem in the United States. Hospitalization for this condition leads to high direct surgical costs, which should be of interest to providers and payers.</p

Economic burden and comorbidities of attention-deficit/hyperactivity disorder among pediatric patients hospitalized in the United States

<p>Abstract</p> <p>Background</p> <p>This retrospective database analysis used data from the Healthcare Cost and Utilization Project's Nationwide Inpatient Sample (NIS) to examine common primary diagnoses among children and adolescents hospitalized with a secondary diagnosis of attention- deficit/hyperactivity disorder (ADHD) and assessed the burden of ADHD.</p> <p>Methods</p> <p>Hospitalized children (aged 6-11 years) and adolescents (aged 12-17 years) with a secondary diagnosis of ADHD were identified. The 10 most common primary diagnoses (using the first 3 digits of the ICD-9-CM code) were reported for each age group. Patients with 1 of these conditions were selected to analyze demographics, length of stay (LOS), and costs. Control patients were selected if they had 1 of the 10 primary diagnoses and no secondary ADHD diagnosis. Patient and hospital characteristics were reported by cohort (i.e., patients with ADHD vs. controls), and LOS and costs were reported by primary diagnosis. Multivariable linear regression analyses were undertaken to adjust LOS and costs based on patient and hospital characteristics.</p> <p>Results</p> <p>A total of 126,056 children and 204,176 adolescents were identified as having a secondary diagnosis of ADHD. Among children and adolescents with ADHD, the most common diagnoses tended to be mental health related (i.e., affective psychoses, emotional disturbances, conduct disturbances, depressive disorder, or adjustment reaction). Other common diagnoses included general symptoms, asthma (in children only), and acute appendicitis. Among patients with ADHD, a higher percentage were male, white, and covered by Medicaid. LOS and costs were higher among children with ADHD and a primary diagnosis of affective psychoses (by 0.61 days and $51), adjustment reaction (by 1.71 days and$940), or depressive disorder (by 0.41 days and $124) versus controls. LOS and costs were higher among adolescents with ADHD and a primary diagnosis of affective psychoses (by 1.04 days and$352), depressive disorder (by 0.94 days and $517), conduct disturbances (by 0.86 days and$1,330), emotional disturbances (by 1.45 days and $1,626), adjustment reaction (by 1.25 days and$702), and neurotic disorders (by 1.60 days and $541) versus controls.</p> <p>Conclusion</p> <p>Clinicians and health care decision makers should be aware of the potential impact of ADHD on hospitalized children and adolescents.</p