Impact of COVID-19 on work loss in the United States- A retrospective database analysis.

OBJECTIVES: This study investigates the utilization of work absence benefits among United States (US) employees diagnosed with COVID-19, examining frequency, duration, cost, and types of work loss benefits used. METHODS: This retrospective analysis of the Workpartners Research Reference Database (RRDb) included employees eligible for short- and long-term disability (STD and LTD employer-sponsored benefits, respectively), and other paid work absence benefits from 2018 to 2022. Workpartners RRDb includes over 3.5 million employees from over 500 self-insured employers across the US. Employees were identified by codes from adjudicated medical and disability claims for COVID-19 (2020-2022) and influenza, as well as prescription claims for COVID-19 treatments. Associated payments were quantified for each absence reason. RESULTS: Approximately 1 million employees were eligible for employer-sponsored paid leave benefits between January 2018 and December 2022. The mean age was 37 years (22% >50 years), and 49.4% were females. COVID-19 was the 2nd most common reason for an STD claim (6.9% of all STD claims) and 13th for an LTD claim (1.7% of all LTD claims) from 2020-2022. The mean duration for COVID-19 STD claims was 24 days (N = 3,731, mean claim=$3,477) versus 10 days for influenza (N = 283, mean claim=$1,721). The mean duration for an LTD claim for COVID-19 was 153 days (N = 11, mean claim=$19,254). Only 21.5% of employees with STD claims in the COVID-19 cohort had prior COVID-19-associated medical or pharmacy claims; over half (range 53%-61%) had documented high risk factors for severe COVID-19. CONCLUSION: COVID-19 and influenza have the potential to cause work loss in otherwise healthy employees. In this analysis, COVID-19 was the second most frequent reason for an STD claim at the start of the pandemic and remained high (ranked 5th) in 2022. These results highlight the impact of COVID-19 on work loss beyond the acute phase. Comprehensively evaluating work loss implications may help employers prioritize strategies, such as vaccinations and timely treatments, to mitigate the impact of COVID-19 on employees and their companies.

COVID-19 results in short- and long-term symptoms that may affect employees' ability to work. Short- and long-term disability (STD and LTD, respectively), other work absences, and medical and pharmacy claims from the Workpartners Research Reference Database were analyzed for US adult (≥18 years) employees. COVID-19 claims were identified using the Center for Disease Control and Prevention recommended International Classification of Diseases codes during the analysis from 2020 to 2022. During 2020 to 2022, COVID-19 ranked as the second most frequent reason for STD claims and 13th most frequent among LTD claims. Influenza ranked 58th overall with no LTD claims (2018­2022). The average COVID-19 STD claim lasted 24 days and cost employers $3,477 per claim, and LTD claims averaged 153 days, costing $19,254. Only 21.5% of employees with STD claims in the COVID-19 cohort had prior COVID-19-associated medical or pharmacy claims, and over half (range 53%­61%) had a documented high-risk factor for severe COVID-19. Our results highlight the ongoing and substantial impact of COVID-19 on work absence benefit utilization beyond the acute phase. This analysis demonstrates the need for employers and researchers to review all available medical, pharmacy, and disability claims to assess the acute and long-term impact of COVID-19 on employees and prioritize mitigation strategies to reduce the burden of the virus to their employees.

Social determinants of patiromer adherence and abandonment: An observational, retrospective, real-world claims analysis.

BACKGROUND: Hyperkalemia is a frequent and serious complication in chronic kidney disease (CKD) that can impede continuation of beneficial evidence-based therapies. Recently, novel therapies such as patiromer have been developed to treat chronic hyperkalemia, but their optimal utility hinges on adherence. Social determinants of health (SDOH) are critically important and can impact both medical conditions and treatment prescription adherence. This analysis examines SDOH and their influence on adherence to patiromer or abandonment of prescriptions for hyperkalemia treatment. METHODS: This was an observational, retrospective, real-world claims analysis of adults with patiromer prescriptions and 6- and 12-months pre- and post-index prescription data in Symphony Health's Dataverse during 2015-2020, and SDOH from census data. Subgroups included patients with heart failure (HF), hyperkalemia-confounding prescriptions, and any CKD stages. Adherence was defined as >80% of proportion of days covered (PDC) for ≥60 days and ≥6 months, and abandonment as a portion of reversed claims. Quasi-Poisson regression modeled the impact of independent variables on PDC. Abandonment models used logistic regression, controlling for similar factors and initial days' supply. Statistical significance was p<0.05. RESULTS: 48% of patients at 60 days and 25% at 6 months had a patiromer PDC >80%. Higher PDC was associated with older age, males, Medicare/Medicaid coverage, nephrologist prescribed, and those receiving renin-angiotensin-aldosterone system inhibitors. Lower PDC correlated with higher out-of-pocket cost, unemployment, poverty, disability, and any CKD stage with comorbid HF. PDC was better in regions with higher education and income. CONCLUSIONS: SDOH (unemployment, poverty, education, income) and health indicators (disability, comorbid CKD, HF) were associated with low PDC. Prescription abandonment was higher in patients with prescribed higher dose, higher out-of-pocket costs, those with disability, or designated White. Key demographic, social, and other factors play a role in drug adherence when treating life-threatening abnormalities such as hyperkalemia and may influence patient outcomes.

The Clinical and Economic Impact of Employees Who Are Care Partners of Patients with Multiple Sclerosis by Disease Severity.

Background: Research on employee care partners of patients with multiple sclerosis (MS) is limited. Objectives: The clinical and economic impact on employee care partners was evaluated by MS disease severity. Methods: Employees with spouses/domestic partners with MS from the Workpartners database (Jan. 1, 2010-Dec. 31, 2019) were eligible if: spouse/partner had at least 3 MS-related (ICD-9-CM/ICD-10-CM:340.xx/G35) inpatient/outpatient/disease-modifying therapy claims within 1 year (latest claim = index date); 6-month pre-index/1-year post-index enrollment; and age 18 to 64 years. Employee care partners' demographic/clinical characteristics and direct/indirect costs were compared across predetermined MS severity categories. Logistic and generalized linear regression modeled the costs. Results: Among 1041 employee care partners of patients with MS, 358 (34.4%) patients had mild MS, 491 (47.2%) moderate, and 192 (18.4%) severe. Mean (standard error [SE]) employee care partner age was 49.0 (0.5) for patients with mild disease, 50.5 (0.4) for moderate, 51.7 (0.6) for severe; percent female care partners was 24.6% [2.3%] mild, 19.8% [1.8%] moderate, 27.6% [3.2%] severe; and mean care partner Charlson Comorbidity Index scores 0.28 (0.05) mild, 0.30 (0.04) moderate, 0.27 (0.06) severe. More care partners of patients with moderate/severe vs mild MS had hyperlipidemia (32.6%/31.8% vs 21.2%), hypertension (29.5%/29.7% vs 19.3%), gastrointestinal disease (20.8%/22.9% vs 13.1%), depression (9.2%/10.9% vs 3.9%), and anxiety 10.6%/8.9% vs 4.2%). Adjusted mean medical costs were greater for employee care partners of patients with moderate vs mild/severe disease (P<.001). Pharmacy costs (SE) were lower for employee care partners of mild vs severe/moderate patients (P<.005). Sick leave costs (SE) were greater for employee care partners of mild/severe vs moderate patients (P<.05). Discussion: Employee care partners of patients with moderate/severe vs mild MS had more comorbidities (ie, hypertension, gastrointestinal disease, depression, and anxiety) and higher pharmacy costs. Employee care partners of patients with moderate vs mild/severe MS had higher medical and lower sick leave costs. Treatment strategies that improve patient outcomes may reduce employee care partner burden and lower costs for employers in some instances. Conclusions: Comorbidities and direct/indirect costs of employees whose spouses/partners have MS were considerable and varied with MS severity.

Excess comorbidity prevalence and cost associated with functional dyspepsia in an employed population.

BACKGROUND: Limited published data exist on the associated comorbid conditions with functional dyspepsia (FD). AIMS: This study aimed to assess the prevalence, services, and costs related to comorbid conditions associated with FD and the risk of having FD for each comorbid condition. METHODS: A retrospective database analysis was undertaken using payroll data and adjudicated claims from January 1, 2001, through December 31, 2004 among >300,000 employees. Employees with FD were compared to propensity-score-matched employees without FD (controls). Outcome measures included the prevalence, costs, and utilization of health services for comorbid conditions as defined by the Agency for Healthcare Research and Quality (AHRQ) and the odds ratios of having FD from a multivariate model. RESULTS: FD employees (N = 1,669) and a 50:1 matched control cohort (N = 83,450) were compared. Compared to matched controls, FD employees were more likely to have all major diagnostic categories. Moreover, 199/261 of the AHRQ's specific categories were more common in the FD cohort. Annual medical costs for the FD cohort were greater than for controls in 155/261 (59%) specific categories and significantly greater (P ≤ 0.05) in 76 categories (29%). Similarly, services were greater for 179/261 (69%) specific categories and significantly greater (P ≤ 0.05) in 110 categories (42%). In a multivariate model, esophageal disorders, gastritis and duodenitis, and abdominal pain were the most associated with having FD (odds ratios 3.8, 3.7, and 3.6, respectively). Only hypertension complications and disorders of the teeth and jaw were significantly negatively associated with FD. CONCLUSION: There is unexplained excess comorbidity associated with FD which may be a major determining factor for excess healthcare services and costs.

The impact of hepatitis C virus infection on work absence, productivity, and healthcare benefit costs.

UNLABELLED: Chronic hepatitis C virus (HCV) infection is generally considered an asymptomatic disease. However, studies have shown that HCV has a substantial negative impact on patients' quality of life and functioning. This study was designed to compare absenteeism, productivity, and health cost between employees with and without HCV infection in the United States. Employee records from multiple large employers in the United States were obtained from the Human Capital Management Services Research Reference Database and were assessed for demographics, salary, healthcare use, work loss, and workers' compensation. HCV-infected subjects were identified by International Classification of Diseases 9th revision Clinical Modification codes. Controls were randomly selected from employees not diagnosed with HCV. T-tests and chi-square tests were used to determine if there were differences in demographic characteristics. Regression modeling compared days absent (among benefit-eligible employees) and productivity (among employees with data on task-oriented activities), while controlling for the impact of confounding factors. A total of 339,456 subjects were evaluated. Employees with HCV (n = 1664) had significantly more lost work days per employee than the control cohort (n = 337,792), including sick leave, short-term disability, and long-term disability. HCV-infected workers had 4.15 more days of absence per employee than the control cohort. Productivity was measured by units of work processed per hour; employees with HCV processed 7.5% fewer units per hour than employees without HCV (P > 0.05). All healthcare benefit costs among HCV employees were significantly higher than the same costs among employees without HCV. Overall, the total incremental difference was $8352 per year. CONCLUSION: This real world study provides evidence that there is a substantial indirect burden of illness and describes a relationship between HCV infection, productivity, increased absenteeism, and higher healthcare benefit costs.

Health outcomes and costs among employees with fibromyalgia treated with pregabalin vs. standard of care.

OBJECTIVE: To compare comorbidities, drug use, benefit costs, absences, medication persistence/adherence between employees with fibromyalgia initiating treatment with pregabalin (PGB) vs. antidepressant Standard of Care ([SOC] amitriptyline, duloxetine, or venlafaxine). METHODS: Retrospective study of 240 adults initiating PGB or SOC after 7/1/2007. Multivariate regression models on propensity-score-matched cohorts compared postindex costs, absences, and adherence between cohorts. RESULTS: Pregabalin users had significantly more preindex muscle pain and dizziness and less depression than SOC (each P < 0.05). Use of some non-PBG/SOC drugs differed. No differences were found in total medical, drug, or absenteeism cost. PGB had more sick leave (9.8 vs. 6.8 days, P = 0.04), but other absence types were similar. All adherence metrics were nonsignificantly greater for PGB vs. SOC. CONCLUSION: Despite several comorbidity and drug use differences, most employee benefit outcomes and adherence did not differ between the cohorts.

Disability and workers' compensation trends for employees with mental disorders and SUDs in the United States.

INTRODUCTION: US employee absence benefits may include workers' compensation (WC) for work-related injuries/illnesses, short- and long-term disability (STD and LTD, respectively) for non-work-related injuries/illnesses, and discretionary sick leave (SL). Absences can significantly impact business performance, and employers are intensifying efforts to manage benefits and connections with employee health. This research compares all-cause STD/LTD/WC/SL use and variation from baseline (2002) for eligible employees (EMPs) with mental disorders (MDs) and SUDs to determine if use/payments varied over time. METHODS: Employees incurring medical claims with Agency for Healthcare Research and Quality MD and SUD ICD-9/10 codes were identified in the WorkPartners database (January 1, 2002 to December 31, 2019). Retrospective analysis was performed on annual prevalence, benefit use, mean days of leave, and median payments as a percent of salary (including lump-sum distributions and potentially extending beyond initiation year). WC claims without work absences were excluded. For each benefit, annual outcomes were calculated as a percent of baseline to show variability. RESULTS: Use was 48.1% to 202.2% (median, 102.8%) of baseline rates for SL (SUD-EMPs), and 87.3% to 108.4% (median, 97.3%) for STD (MD-EMPs). Days of LTD leaves were 21.5% to 657.8% (median, 359.2%) of baseline days (MD-EMPs), and 122.7% to 1042.2% (median, 460.0%) of baseline days for (SUD-EMPs). Median payments for WC were 78.6% to 253.6% (median, 114.6%) of baseline (MD-EMPs) and 97.9% to 481.6% (median, 104.0%) for SUD-EMPs. DISCUSSION: Employees with MD/SUD used absence benefits at differing rates over time with varying days of leave and payments as a percent of salary. Using a constant cost or salary replacement factor over time for all benefits is not accurate or appropriate.

Direct and Indirect Costs Among Caregivers of Patients With Major Depressive Disorder and Suicidal Ideation or Suicidal Attempt.

Objective: To compare direct and indirect costs among caregivers of patients with major depressive disorder (MDD) and suicidal ideation and/or suicide attempts (MDSI) versus caregivers of patients with MDD alone versus caregivers of patients without MDD or suicidal ideation and/or suicide attempts (controls).Methods: Cohorts were based on caregivers of adult patients with MDSI, MDD alone, and controls. Patients were identified by Workpartners employer database ICD-9/ICD-10 codes (January 2010 to July 2019) and were spouses or domestic partners of employees (caregivers). Twenty controls and 20 MDD-alone caregivers were matched to each MDSI caregiver on sex, age, and index year. All caregiver-patient pairs had 6 months pre/postindex information and met additional inclusion/exclusion criteria. Patient and caregiver medical and prescription claims and caregiver absenteeism (payment/time) were analyzed. Direct costs (medical, prescription) and indirect costs (absence payments by benefit type) were analyzed using separate, 2-part stepwise regression models and controlling for demographics, job-related variables, region, index year, and Charlson Comorbidity Index score.Results: 570 MDSI caregiver-patient pairs and 11,400 matched MDD-alone and control pairs were identified. MDSI and MDD-alone caregivers had higher medical costs compared with controls ($5,131 and $4,548 versus $3,885, respectively; P < .0001). Prescription costs were highest among MDSI caregivers, followed by MDD-alone and control caregivers ($1,852, $1,425, and $1,005, respectively; P < .001). MDSI caregivers had the highest total indirect costs. MDSI patient medical and prescription costs were highest, followed by MDD-alone and control patients.Conclusion: MDSI caregivers had significantly greater direct and indirect costs compared with MDD-alone and non-MDD caregivers.

Retrospective study of glycemic variability, BMI, and blood pressure in diabetes patients in the Digital Twin Precision Treatment Program.

The objective of this retrospective observational cohort study was to measure glycemic variability and reductions in body mass index (BMI), blood pressure (BP), and use of antihypertensive medications in type 2 diabetes (T2D) patients participating in the digital twin-enabled Twin Precision Treatment (TPT) Program. Study participants included 19 females and 45 males with T2D who chose to participate in the TPT Program and adhered to program protocols. Nine additional enrollees were excluded due to major program non-adherence. Enrollees were required to have adequate hepatic and renal function, no myocardial infarction, stroke, or angina ≤ 90 days before enrollment, and no history of ketoacidosis or major psychiatric disorders. The TPT program uses Digital Twin technology, machine learning algorithms, and precision nutrition to aid treatment of patients with T2D. Each study participant had ≥ 3 months of follow-up. Outcome measures included glucose percentage coefficient of variation (%CV), low blood glucose index (LBGI), high blood glucose index (HBGI), systolic and diastolic BP, number of antihypertensive medications, and BMI. Sixty-four patients participated in the program. Mean (± standard deviation) %CV, LBGI, and HBGI values were low (17.34 ± 4.35, 1.37 ± 1.37, and 2.13 ± 2.79, respectively) throughout the 90-day program. BMI decreased from 29.23 ± 5.83 at baseline to 27.43 ± 5.25 kg/m2. Systolic BP fell from 134.72 ± 17.73 to 124.58 ± 11.62 mm Hg. Diastolic BP decreased from 83.95 ± 10.20 to 80.33 ± 7.04 mm Hg. The percent of patients taking antihypertensive medications decreased from 35.9% at baseline to 4.7% at 90 days. During 90 days of the TPT Program, patients achieved low glycemic variability and significant reductions in BMI and BP. Antihypertensive medication use was eliminated in nearly all patients. Future research will focus on randomized case-control comparisons.

Type 2 diabetes reversal with digital twin technology-enabled precision nutrition and staging of reversal: a retrospective cohort study.

BACKGROUND: Type 2 diabetes reversal has been viewed in the literature primarily as a dichotomous event (reversed or not reversed), even though this viewpoint may not be optimal for clinicians or patients. This cohort study's objectives were to define stages of type 2 diabetes reversal and measure changes in reversal stages before and after 90 days of digital twin-enabled precision nutrition therapy. METHODS: This study defines seven stages of diabetes reversal. The study is a retrospective pre/post comparison of changes in reversal stage, hemoglobin A1c (HbA1c), weight, body mass index (BMI), and other metrics measured before and after precision nutrition therapy. Reversal stages were defined as Stage 0: HbA1c < 5.7% without medication for > 1 year, Stage 1: HbA1c < 5.7% without medication for < 1 year, Stage 2: HbA1c < 6.5% without medication, Stage 3: estimated HbA1c (eA1c) between 5.7 and 6.4% without medication, Stage 4: estimated HbA1c (eA1c) between 5.7 and 6.4% with metformin monotherapy, Stage 5: dual oral therapy, Stage 6: > = 3 medications. RESULTS: Reversal stage information was available for 463 patients at baseline and 90 days. At baseline, the proportions of patients in each reversal stage were Stages 1 and 2: 0%, Stage 3: 1%, Stage 4: 8%, Stage 5: 6%, and Stage 6: 85%. After 90 days, the proportions in each reversal stage were Stage 1: 2%, Stage 2: 9%, Stage 3: 32%, Stage 4: 39%, Stage 5: 7%, and Stage 6: 11%, indicating significant progress. Reversal stage progression rates varied by patient subgroup. CONCLUSIONS: Type 2 diabetes patients reached differing reversal stages during 90 days of precision nutrition therapy. Use of reversal stages may benefit patients during therapy. TRIAL REGISTRATION: This was a retrospective study that was approved by the Medisys Clinisearch Ethical Review Board (without registration number) in 2019.

Burden of acromegaly in the United States: increased health services utilization, location of care, and costs of care.

BACKGROUND: Limited information is available on the utilization and healthcare costs among patients with acromegaly. The purpose of this study was to assess the impact of acromegaly on healthcare utilization and costs by locations of care (LoC). METHODS: Patients with acromegaly and controls were identified from an analysis of drug and medical claims filed from January 2010 to April 2019 from a US employer database. Each patient with acromegaly was matched with 20 random controls (without acromegaly) selected from the database. Claims were tracked for 12 months postdiagnosis (or matched date for controls). Outcomes by LoC, including costs, services, and likelihood of use, were compared using two-stage regression models or logistic regression models, controlling for demographic and job-related variables, and Charlson comorbidity index scores. RESULTS: Claims from 60 patients with acromegaly and 1,200 controls were analyzed. Compared with the control group, patients with acromegaly had significantly higher likelihoods of receiving care in a physician's office [odds ratio > 1,000], inpatient [OR = 8.010], outpatient [OR = 12.656], laboratory [OR = 3.681], and 'other' locations [OR = 4.033] (all p < .001), except in an emergency department (ED). Significantly more services were performed at each LoC for those with acromegaly (p < .01) but not in an ED. Total costs were more than 5-fold higher for the acromegaly cohort compared with controls (p < .05). Costs by LoC were consistently higher (p < .001) for patients with acromegaly vs. controls, with mean annual cost differences greatest in outpatient hospital/clinic ($9,611 vs $1,355), inpatient ($8,646 vs $739), physicians' office ($4,762 vs $1,301), other ($2,001 vs $367), and laboratory ($508 vs $66). ED-related treatment costs were not significantly different between cohorts. CONCLUSIONS: Compared with matched controls, patients with acromegaly were more likely to utilize healthcare services in nearly all LoCs and accrue higher expenditures at each LoC, with the exception of ED services.

Functional dyspepsia impacts absenteeism and direct and indirect costs.

BACKGROUND & AIMS: Functional dyspepsia (FD) is a common morbid condition but data are limited on the direct and indirect costs for employees with FD or on its impact on productivity. Few data on absenteeism and no objective information are available. This study aimed to assess the impact of FD on costs and effects on absenteeism and work output (productivity). METHODS: We performed a retrospective analysis of payroll data and adjudicated health insurance medical and prescription claims collected over a 4-year study period (January 1, 2001 to December 31, 2004) from more than 300,000 employees. Data from employees with and without (controls) FD were compared using 2-part regression techniques. Outcome measures included medical (total and by place of service) and prescription costs, absenteeism, and objectively measured productivity output. RESULTS: Employees with FD (N = 1669) had greater average annual medical and prescription drug costs and indirect costs (owing to sick leave and short- and long-term disability absences) than controls (N = 274,206). Compared with controls, the FD employees incurred costs that were $5138 greater and had greater costs for each place of service (all P < .0001). The employees with FD had an additional 0.83 absence days per year and produced 12% fewer units per hour than controls (both P < .05). CONCLUSIONS: Employees with FD have greater costs at all places of service and lower productivity than employees without FD.

Reducing HbA1c in Type 2 Diabetes Using Digital Twin Technology-Enabled Precision Nutrition: A Retrospective Analysis.

INTRODUCTION: The objective of this study was to examine changes in hemoglobin A1c (HbA1c), anti-diabetic medication use, insulin resistance, and other ambulatory glucose profile metrics between baseline and after 90 days of participation in the Twin Precision Nutrition (TPN) Program enabled by Digital Twin Technology. METHODS: This was a retrospective study of patients with type 2 diabetes who participated in the TPN Program and had at least 3 months of follow-up. The TPN machine learning algorithm used daily continuous glucose monitor (CGM) and food intake data to provide guidelines that would enable individual patients to avoid foods that cause blood glucose spikes and to replace them with foods that do not produce spikes. Physicians with access to daily CGM data titrated medications and monitored patient conditions. RESULTS: Of the 89 patients who initially enrolled in the TPN Program, 64 patients remained in the program and adhered to it for at least 90 days; all analyses were performed on these 64 patients. At the 90-day follow-up assessment, mean (± standard deviation) HbA1c had decreased from 8.8 ± 2.2% at baseline by 1.9 to 6.9 ± 1.1%, mean weight had decreased from 79.0 ± 16.2 kg at baseline to 74.2 ± 14.7 kg, and mean fasting blood glucose had fallen from 151.2 ± 45.0 mg/dl at baseline to 129.1 ± 36.7 mg/dl. Homeostatic model assessment of insulin resistance (HOMA-IR) had decreased by 56.9% from 7.4 ± 3.5 to 3.2 ± 2.8. At the 90-day follow-up assessment, all 12 patients who were on insulin had stopped taking this medication; 38 of the 56 patients taking metformin had stopped metformin; 26 of the 28 patients on dipeptidyl peptidase-4 (DPP-4) inhibitors discontinued DPP-4 inhibitors; all 13 patients on alpha-glucosidase inhibitors discontinued these inhibitors; all 34 patients on sulfonylureas were able to stop taking these medications; two patients stopped taking pioglitazone; all ten patients on sodium-glucose cotransporter-2 (SGLT2) inhibitors stopped taking SGLT2 inhibitors; and one patient stopped taking glucagon-like peptide-1 analogues. CONCLUSION: The results provide evidence that daily precision nutrition guidance based on CGM, food intake data, and machine learning algorithms can benefit patients with type 2 diabetes. Adherence for 3 months to the TPN Program resulted in patients achieving a 1.9 percentage point decrease in HbA1c, a 6.1% drop in weight, a 56.9% reduction in HOMA-IR, a significant decline in glucose time below range, and, in most patients, the elimination of diabetes medication use.

Objective measurement of work absence and on-the-job productivity: a case-control study of US employees with and without gastroesophageal reflux disease.

OBJECTIVE: To establish an association between gastroesophageal reflux disease (GERD) and increased work absence, as well as reduced productivity while at work, by using objective productivity measurements. METHODS: Retrospective case-control analysis of a database containing US employees' administrative health care and payroll data for employees (N = 11,653 with GERD; N = 255,616 without GERD) who were enrolled for at least one year in an employer-sponsored health insurance plan. RESULTS: Employees with GERD had 41% more sick leave days (P < 0.0001), 59% more short-term disability days (P < 0.0001), 39% more long-term disability days (P = 0.1910), 48% more workers' compensation days (P < 0.0001), 4.4% lower objective productivity per hour worked (P = 0.0481), and 6.0% lower annual objective productivity (P = 0.0391) than the employees without GERD. CONCLUSIONS: GERD is associated with a significant impact on employees' work absence and productivity while at work as measured using objective data.

The economic impact of bipolar disorder in an employed population from an employer perspective.

OBJECTIVE: To determine the economic impact of bipolar disorder on health benefit costs and health-related work absences from an employer perspective. METHOD: Data on health benefit costs and health-related absences during 2001 and 2002 were retrieved from a database and retrospectively examined. Regression modeling measured the cost differences while controlling for potentially confounding factors. The study population consisted of employees at multiple large employers who were widely dispersed throughout the United States. These employees were grouped into 2 cohorts: (1) employees with a bipolar disorder diagnosis (primary, secondary, or tertiary ICD-9 code of 296.0x, 296.1x, 296.4x, 296.5x, 296.6x, 296.7x, or 296.8x) in 2001 and (2) employees with no bipolar disorder diagnosis during 2001 or 2002 (comparison cohort). Specific outcome measures included annual health benefit claim costs and salary-replacement payments for the following employee health benefits: health care insurance, prescription drug, sick leave, short- and long-term disability, and workers' compensation. Additional outcome measures included annual absence days due to workers' compensation, short- and long-term disability, and sick leave (separately). RESULTS: The analysis identified 761 employees (0.3%) with bipolar disorder and 229,145 eligible employees without bipolar disorder. Employees with bipolar disorder annually cost $6836 more than employees without bipolar disorder (p < .05) and were more costly in every health benefit cost category. Employees with bipolar disorder missed an average of 18.9 workdays annually, while employees without bipolar disorder missed 7.4 days annually (p < .05). CONCLUSION: The impact of bipolar disorder can be costly in the workplace, leading to increased health benefit costs and increased absenteeism.

Costs of physical and mental comorbidities among employees: a comparison of those with and without bipolar disorder.

OBJECTIVE: To compare the cost and utilization of health care services for various comorbid conditions among employees with bipolar disorder (BPD) and two other population cohorts: employees without BPD and employees with other mental disorders (OMD). METHODS: Retrospective database analysis on a 2-year study period, from January 1, 2001, through December 31, 2002 using adjudicated health insurance medical claims on more than 230 000 employees plus their eligible dependents. Study comparisons were performed among employees with BPD (cohort BPD), employees without BPD (cohort NBD), and employees with OMD (cohort OMD). Outcome measures included the cost and utilization of health services for various comorbid conditions as defined by the Agency for Healthcare Research and Quality (AHRQ); using 261 specific categories (SCs) and the 17 Major Diagnostic Categories (MDCs). RESULTS: Employees in cohort BPD (n = 761) had greater average annual medical and prescription drug costs than the two other employee cohorts. Costs for cohort BPD were significantly greater (p

The economic burden of gout on an employed population.

OBJECTIVE: To examine the economic burden of illness of gout in an employed population, quantifying the impact on employers annual health benefit costs for medical and prescription claims, sick leave, short- and long-term disability, and workers' compensation. METHODS: Adjudicated claims data from 300000 employees from 2001 through 2004 were utilized. T-tests were used to compare demographic data and medical costs and services by Agency for Healthcare Research and Quality (AHRQ) diagnostic categories. Two-part models were used to determine average annual health benefit costs overall and medical costs by place of delivery. A risk stratification quintile analysis was also performed utilizing gout-specific medical and pharmaceutical costs. RESULTS: There were 1171 employees with gout identified (total n = 249 038). All demographic variables between the two groups were statistically different (p

Incurring greater health care costs: risk stratification of employees with bipolar disorder.

PURPOSE: To compare the costs of employees with bipolar disorder with other employee cohorts and to assess cost differences among employees with bipolar disorder of varying severity. METHODS: Retrospective data analysis comparing employees with bipolar disorder (cohort 1) with employees without bipolar disorder (cohort 2), employees with other mental disorders (cohort 3), and employees with no mental disorders (cohort 4). Sick leave, short-term disability, long-term disability, and workers' compensation data were used to compare annual lost time and work-absence costs from January 1, 2001, through December 31, 2002. For bipolar disorder severity and risk stratification, quintiles were identified based on total medical and prescription drug costs and analyzed for many health benefits cost categories. RESULTS: Cohort 1 was the most costly in nearly every health benefits cost category. All comparisons between cohort 1 and cohorts 2, 3, and 4 yielded significant (p ≤ .05) differences except for sick leave costs in cohorts 1 and 3. The aggregate health benefits costs for the highest-cost cohort 1 quintile were $70,616, or 21 times greater than the health benefits costs for the lowest-cost quintile ($3385). Medical comorbidity costs accounted for most of this difference ($51,495; p ≤ .05). CONCLUSION: Employees with bipolar disorder are the most costly in nearly every health benefits category, with a small minority (2.4%) accounting for 20% of the costs. Employers need to identify and target high-risk ("high cost") employees with bipolar disorder and coexisting conditions that use resources more frequently for appropriate interventions that may include early screening and diagnosis, appropriate treatment, and/or behavioral strategies for improved adherence. These strategies have the potential to improve quality of patient care and reduce costs.

Lost time, absence costs, and reduced productivity output for employees with bipolar disorder.

OBJECTIVE: We sought to evaluate the incremental health-related lost work time and at-work productivity loss for employees with bipolar disorder (BPD). METHODS: Health-related absence and real productivity output of employees with BPD were compared with that of non-BPD and other employee cohorts from a large employer database using multivariate regression to control for cohort differences. RESULTS: After adjusting for confounding factors, employees with BPD had significantly higher absence costs (1,219 dollars) and 11.5 additional lost days (P<0.05) per year than those without BPD. Adjusted annual productivity output was 20% lower for the BPD group (P<0.05). CONCLUSIONS: Employees with BPD are less likely to be present for work. When present, their productivity level is similar to that of other employees, but over the course of a year, their absence rates result in significant productivity losses.