Racial and ethnic disparities in diagnosis and treatment outcomes among US-born people diagnosed with tuberculosis, 2003-19: an analysis of national surveillance data.

BACKGROUND: Persistent racial and ethnic disparities in tuberculosis incidence exist in the USA, however, less is known about disparities along the tuberculosis continuum of care. This study aimed to describe how race and ethnicity are associated with tuberculosis diagnosis and treatment outcomes. METHODS: In this analysis of national surveillance data, we extracted data from the US National Tuberculosis Surveillance System on US-born patients with tuberculosis during 2003-19. To estimate the association between race and ethnicity and tuberculosis diagnosis (diagnosis after death, cavitation, and sputum smear positivity) and treatment outcomes (treatment for more than 12 months, treatment discontinuation, and death during treatment), we fitted log-binomial regression models adjusting for calendar year, sex, age category, and regional division. Race and ethnicity were defined based on US Census Bureau classification as White, Black, Hispanic, Asian, American Indian or Alaska Native, Native Hawaiian or Pacific Islander, and people of other ethnicities. We quantified racial and ethnic disparities as adjusted relative risks (aRRs) using non-Hispanic White people as the reference group. We also calculated the Index of Disparity as a summary measure that quantifies the dispersion in a given outcome across all racial and ethnic groups, relative to the population mean. We estimated time trends in each outcome to evaluate whether disparities were closing or widening. FINDINGS: From 2003 to 2019, there were 72 809 US-born individuals diagnosed with tuberculosis disease of whom 72 369 (35·7% women and 64·3% men) could be included in analyses. We observed an overall higher risk of any adverse outcome (defined as diagnosis after death, treatment discontinuation, or death during treatment) for non-Hispanic Black people (aRR 1·27, 95% CI 1·22-1·32), Hispanic people (1·20, 1·14-1·27), and American Indian or Alaska Native people (1·24, 1·12-1·37), relative to non-Hispanic White people. The Index of Disparity for this summary outcome remained unchanged over the study period. INTERPRETATION: This study, based on national surveillance data, indicates racial and ethnic disparaties among US-born tuberculosis patients along the tuberculosis continuum of care. Initiatives are needed to reduce diagnostic delays and improve treatment outcomes for US-born racially marginalised people in the USA. FUNDING: US Centers for Disease Control and Prevention.

Estimates of Testing for Latent Tuberculosis Infection and Cost, United States, 2013.

OBJECTIVES: Tracking trends in the testing of latent tuberculosis infection (LTBI) can help measure tuberculosis elimination efforts in the United States. The objectives of this study were to estimate (1) the annual number of persons tested for LTBI and the number of LTBI tests conducted, by type of test and by public, private, and military sectors, and (2) the cost of LTBI testing in the United States. METHODS: We searched the biomedical literature for published data on private-sector and military LTBI testing in 2013, and we used back-calculation to estimate public-sector LTBI testing. To estimate costs, we applied Medicare-allowable reimbursements in 2013 by test type. RESULTS: We estimated an average (low-high) 13.3 million (11.3-15.4 million) persons tested for LTBI and 15.3 million (12.9-17.7 million) LTBI tests, of which 13.2 million (11.1-15.3 million) were tuberculin skin tests and 2.1 million (1.8-2.4 million) were interferon-γ release assays (IGRAs). Eighty percent of persons tested were in the public sector, 18% were in the private sector, and 2% were in the military. Costs of LTBI tests and of chest radiography totaled $314 million (range, $256 million to $403 million). CONCLUSIONS: To achieve tuberculosis elimination, millions more persons will need to be tested in all sectors. By targeting testing to only those at high risk of tuberculosis and by using more specific IGRA tests, the incidence of tuberculosis in the United States can be reduced and resources can be more efficiently used.

Reducing Smoking in the US Federal Workforce: 5-Year Health and Economic Impacts From Improved Cardiovascular Disease Outcomes.

OBJECTIVE: We estimated the reduction in number of hospitalizations for acute myocardial infarction and stroke as well as the associated health care costs resulting from reducing the number of smokers in the US federal workforce during a 5-year period. METHODS: We developed a 5-year spreadsheet-based cohort model with parameter values from past literature and analysis of national survey data. We obtained 2015 data on the federal workforce population from the US Office of Personnel Management and data on smoking prevalence among federal workers from the 2013-2015 National Health Interview Survey. We adjusted medical costs and productivity losses for inflation to 2015 US dollars, and we updated future productivity losses for growth. Because of uncertainty about the achievable reduction in smoking prevalence and input values (eg, relative risk for acute myocardial infarction and stroke, medical costs, and absenteeism), we performed a Monte Carlo simulation and sensitivity analysis. RESULTS: We estimated smoking prevalence in the federal workforce to be 13%. A 5 percentage-point reduction in smoking prevalence could result in 1106 fewer hospitalizations for acute myocardial infarction (range, 925-1293), 799 fewer hospitalizations for stroke (range, 530-1091), and 493 fewer deaths (range, 494-598) during a 5-year period. Similarly, estimated costs averted would be $59 million (range, $49-$63 million) for medical costs, $332 million (range, $173-$490 million) for absenteeism, and $117 million (range, $93-$142 million) for productivity. CONCLUSION: Reductions in the prevalence of smoking in the federal workforce could substantially reduce the number of hospitalizations for acute myocardial infarction and stroke, lower medical costs, and improve productivity.

Absenteeism and Employer Costs Associated With Chronic Diseases and Health Risk Factors in the US Workforce.

INTRODUCTION: Employers may incur costs related to absenteeism among employees who have chronic diseases or unhealthy behaviors. We examined the association between employee absenteeism and 5 conditions: 3 risk factors (smoking, physical inactivity, and obesity) and 2 chronic diseases (hypertension and diabetes). METHODS: We identified 5 chronic diseases or risk factors from 2 data sources: MarketScan Health Risk Assessment and the Medical Expenditure Panel Survey (MEPS). Absenteeism was measured as the number of workdays missed because of sickness or injury. We used zero-inflated Poisson regression to estimate excess absenteeism as the difference in the number of days missed from work by those who reported having a risk factor or chronic disease and those who did not. Covariates included demographics (eg, age, education, sex) and employment variables (eg, industry, union membership). We quantified absenteeism costs in 2011 and adjusted them to reflect growth in employment costs to 2015 dollars. Finally, we estimated absenteeism costs for a hypothetical small employer (100 employees) and a hypothetical large employer (1,000 employees). RESULTS: Absenteeism estimates ranged from 1 to 2 days per individual per year depending on the risk factor or chronic disease. Except for the physical inactivity and obesity estimates, disease- and risk-factor-specific estimates were similar in MEPS and MarketScan. Absenteeism increased with the number of risk factors or diseases reported. Nationally, each risk factor or disease was associated with annual absenteeism costs greater than $2 billion. Absenteeism costs ranged from $16 to $81 (small employer) and $17 to $286 (large employer) per employee per year. CONCLUSION: Absenteeism costs associated with chronic diseases and health risk factors can be substantial. Employers may incur these costs through lower productivity, and employees could incur costs through lower wages.

Pregnancy dose Tdap and postpartum cocooning to prevent infant pertussis: a decision analysis.

BACKGROUND: Infants <2 months of age are at highest risk of pertussis morbidity and mortality. Until recently, the US Advisory Committee on Immunization Practices (ACIP) recommended protecting young infants by "cocooning" or vaccination of postpartum mothers and other close contacts with tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis, adsorbed (Tdap) booster vaccine. ACIP recommends pregnancy vaccination as a preferred and safe alternative to postpartum vaccination. The ACIP cocooning recommendation has not changed. METHODS: We used a cohort model reflecting US 2009 births and the diphtheria-tetanus-acellular pertussis schedule to simulate a decision and cost-effectiveness analysis of Tdap vaccination during pregnancy compared with postpartum vaccination with or without vaccination of other close contacts (ie, cocooning). We analyzed infant pertussis cases, hospitalizations, and deaths, as well as direct disease, indirect, and public health costs for infants in the first year of life. All costs were updated to 2011 US dollars. RESULTS: Pregnancy vaccination could reduce annual infant pertussis incidence by more than postpartum vaccination, reducing cases by 33% versus 20%, hospitalizations by 38% versus 19%, and deaths by 49% versus 16%. Additional cocooning doses in a father and 1 grandparent could avert an additional 16% of cases but at higher cost. The cost per quality-adjusted life-year saved for pregnancy vaccination was substantially less than postpartum vaccination ($414 523 vs $1 172 825). CONCLUSIONS: Tdap vaccination during pregnancy could avert more infant cases and deaths at lower cost than postpartum vaccination, even when postpartum vaccination is combined with additional cocooning doses. Pregnancy dose vaccination is the preferred alternative to postpartum vaccination for preventing infant pertussis.

Costs of school-located influenza vaccination clinics in Maine during the 2009-2010 H1N1 pandemic.

This study retrospectively estimated costs for a convenience sample of school-located vaccination (SLV) clinics conducted in Maine during the 2009-2010 influenza season. Surveys were developed to capture the cost of labor including unpaid volunteers as well as supplies and materials used in SLV clinics. Six nurses from different school districts completed a clinic day survey on staff time; four of the six also provided data for materials and supplies. For all clinics, average per-dose labor cost was estimated at $5.95. Average per-dose material cost, excluding vaccine, was $5.76. From the four complete clinic survey responses, total per-dose cost was estimated to be an average of $13.51 (range = $4.91-$32.39). Use of donated materials and uncompensated volunteer staff could substantially reduce per-dose cost. Average per-dose cost could also be lowered by increasing the number of doses administered in a clinic.

Coordination costs for school-located influenza vaccination clinics, Maine, 2009 H1N1 pandemic.

School nurses played a key role in Maine's school-located influenza vaccination (SLV) clinics during the 2009-2010 pandemic season. The objective of this study was to determine, from the school district perspective, the labor hours and costs associated with outside-clinic coordination activities (OCA). The authors defined OCA as labor hours spent by staff outside of clinic operations. The authors surveyed a convenience sample of 10 school nurses from nine school districts. Eight nurses responded to the survey, representing seven districts, 45 schools and 84 SLV clinics that provided a total of 22,596 vaccine doses (H1N1 and seasonal combined) to children and adolescents. The mean total OCA time per clinic was 69 hours: out of total hours, 22 (36%) were spent outside regular clinic operation time. The authors estimated the mean cost of OCA to be $15.36 per dose. Survey respondents reported that costs would be lower during non-pandemic seasons and as schools become more proficient at planning clinics.