Stakeholders' assessment of US Centers for Disease Control and Prevention's contributions to the development of National Public Health Institutes in seven countries.

National Public Health Institutes (NPHIs) can strengthen countries' public health capacities to prevent, detect, and respond to public health emergencies. This qualitative evaluation assessed the role of the US Centers for Disease Control and Prevention (CDC) in NPHI development and strengthening of public health functions. We interviewed NPHI staff (N = 43), non-NPHI government staff (N = 29), and non-governmental organization staff (N = 24) in seven countries where CDC has supported NPHI development: Cambodia, Colombia, Liberia, Mozambique, Nigeria, Rwanda, and Zambia. Participants identified four areas of support that were the most important: workforce capacity building, technical assistance for key public health functions, identifying institutional gaps and priorities, and funding to support countries' priorities. Participants underscored the need for capacity building directed toward country-driven priorities during planning and implementation. Continued support for NPHI development from CDC and other partners is vital to building stronger public health systems, improving population health, and strengthening global health security.

Multisectoral cost analysis of a human and livestock anthrax outbreak in Songwe Region, Tanzania (December 2018-January 2019), using a novel Outbreak Costing Tool.

OBJECTIVES: We applied a novel Outbreak Costing Tool (OCT), developed by the US Centers for Disease Control and Prevention (CDC), to estimate the costs of investigating and responding to an anthrax outbreak in Tanzania. We also evaluated the OCT's overall utility in its application to a multisectoral outbreak response. METHODS: We collected data on direct costs associated with a human and animal anthrax outbreak in Songwe Region (December 2018 to January 2019) using structured questionnaires from key-informants. We performed a cost analysis by entering direct costs data into the OCT, grouped into seven cost categories: labor, office, travel and transport, communication, laboratory support, medical countermeasures, and consultancies. RESULTS: The total cost for investigating and responding to this outbreak was estimated at 102,232 United States dollars (USD), with travel and transport identified as the highest cost category (62,536 USD) and communication and consultancies as the lowest, with no expenditure, for the combined human and animal health sectors. CONCLUSIONS: Multisectoral investigation and response may become complex due to coordination challenges, thus allowing escalation of public health impacts. A standardized framework for collecting and analysing cost data is vital to understanding the nature of outbreaks, in anticipatory planning, in outbreak investigation and in reducing time to intervention. Pre-emptive use of the OCT will also reduce overall and specific (response period) intervention costs for the disease. Additional aggregation of the costs by government ministries, departments and tiers will improve the use of the tool to enhance sectoral budget planning for disease outbreaks in a multisectoral response.

Impact of Kenya's Frontline Epidemiology Training Program on Outbreak Detection and Surveillance Reporting: A Geographical Assessment, 2014-2017.

Rapid detection and response to infectious disease outbreaks requires a robust surveillance system with a sufficient number of trained public health workforce personnel. The Frontline Field Epidemiology Training Program (Frontline) is a focused 3-month program targeting local ministries of health to strengthen local disease surveillance and reporting capacities. Limited literature exists on the impact of Frontline graduates on disease surveillance completeness and timeliness reporting. Using routinely collected Ministry of Health data, we mapped the distribution of graduates between 2014 and 2017 across 47 Kenyan counties. Completeness was defined as the proportion of complete reports received from health facilities in a county compared with the total number of health facilities in that county. Timeliness was defined as the proportion of health facilities submitting surveillance reports on time to the county. Using a panel analysis and controlling for county-fixed effects, we evaluated the relationship between the number of Frontline graduates and priority disease reporting of measles. We found that Frontline training was correlated with improved completeness and timeliness of weekly reporting for priority diseases. The number of Frontline graduates increased by 700%, from 57 graduates in 2014 to 456 graduates in 2017. The annual average rates of reporting completeness increased from 0.8% in 2014 to 55.1% in 2017. The annual average timeliness reporting rates increased from 0.1% in 2014 to 40.5% in 2017. These findings demonstrate how global health security implementation progress in workforce development may influence surveillance and disease reporting.

Long-distance effects of epidemics: Assessing the link between the 2014 West Africa Ebola outbreak and U.S. exports and employment.

Although the economic consequences of epidemic outbreaks to affected areas are often well documented, little is known about how these might carry over into the economies of unaffected regions. In the absence of direct pathogen transmission, global trade is one mechanism through which geographically distant epidemics could reverberate to unaffected countries. This study explores the link between global public health events and U.S. economic outcomes by evaluating the role of the 2014 West Africa Ebola outbreak in U.S. exports and exports-supported U.S. jobs, 2005-2016. Estimates were obtained using difference-in-differences models where sub-Saharan Africa countries were assigned to treatment and comparison groups based on their Ebola transmission status, with controls for observed and unobserved time-variant factors that may independently influence trends in trade. Multiple model specification checks were performed to ensure analytic robustness. The year of peak transmission, 2014, was estimated to result in $1.08 billion relative reduction in U.S. merchandise exports to Ebola-affected countries, whereas estimated losses in exports-supported U.S. jobs exceeded 1,200 in 2014 and 11,000 in 2015. These findings suggest that remote disruptions in health security might play a role in U.S. economic indicators, demonstrating the interconnectedness between global health and aspects of the global economy and informing the relevance of health security efforts.

Impact of a Hypothetical Infectious Disease Outbreak on US Exports and Export-Based Jobs.

We estimated the impact on the US export economy of an illustrative infectious disease outbreak scenario in Southeast Asia that has 3 stages starting in 1 country and, if uncontained, spreads to 9 countries. We used 2014-2016 West Africa Ebola epidemic-related World Bank estimates of 3.3% and 16.1% reductions in gross domestic product (GDP). We also used US Department of Commerce job data to calculate export-related jobs at risk to any outbreak-related disruption in US exports. Assuming a direct correlation between GDP reductions and reduced demand for US exports, we estimated that the illustrative outbreak would cost from $16 million to $27 million (1 country) to $10 million to $18 billion (9 countries) and place 1,500 to almost 1.4 million export-related US jobs at risk. Our analysis illustrates how global health security is enhanced, and the US economy is protected, when public health threats are rapidly detected and contained at their source.

Relevance of Global Health Security to the US Export Economy.

To reduce the health security risk and impact of outbreaks around the world, the US Centers for Disease Control and Prevention and its partners are building capabilities to prevent, detect, and contain outbreaks in 49 global health security priority countries. We examine the extent of economic vulnerability to the US export economy posed by trade disruptions in these 49 countries. Using 2015 US Department of Commerce data, we assessed the value of US exports and the number of US jobs supported by those exports. US exports to the 49 countries exceeded $308 billion and supported more than 1.6 million jobs across all US states in agriculture, manufacturing, mining, oil and gas, services, and other sectors. These exports represented 13.7% of all US export revenue worldwide and 14.3% of all US jobs supported by all US exports. The economic linkages between the United States and these global health security priority countries illustrate the importance of ensuring that countries have the public health capacities needed to control outbreaks at their source before they become pandemics.

What we don't know can hurt us: Nonresponse bias assessment in birth defects research.

BACKGROUND: Nonresponse bias assessment is an important and underutilized tool in survey research to assess potential bias due to incomplete participation. This study illustrates a nonresponse bias sensitivity assessment using a survey on perceived barriers to care for children with orofacial clefts in North Carolina. METHODS: Children born in North Carolina between 2001 and 2004 with an orofacial cleft were eligible for inclusion. Vital statistics data, including maternal and child characteristics, were available on all eligible subjects. Missing 'responses' from nonparticipants were imputed using assumptions based on the distribution of responses, survey method (mail or phone), and participant maternal demographics. RESULTS: Overall, 245 of 475 subjects (51.6%) responded to either a mail or phone survey. Cost as a barrier to care was reported by 25.0% of participants. When stratified by survey type, 28.3% of mail respondents and 17.2% of phone respondents reported cost as a barrier. Under various assumptions, the bias-adjusted estimated prevalence of cost as barrier to care ranged from 16.1% to 30.0%. Maternal age, education, race, and marital status at time of birth were not associated with subjects reporting cost as a barrier. CONCLUSION: As survey response rates continue to decline, the importance of assessing the potential impact of nonresponse bias has become more critical. Birth defects research is particularly conducive to nonresponse bias analysis, especially when birth defect registries and birth certificate records are used. Future birth defect studies which use population-based surveillance data and have incomplete participation could benefit from this type of nonresponse bias assessment. Birth Defects Research (Part A) 103:603-609, 2015. © 2015 Wiley Periodicals, Inc.

Factors associated with high hospital resource use in a population-based study of children with orofacial clefts.

BACKGROUND: Little is known about population-based maternal, child, and system characteristics associated with high hospital resource use for children with orofacial clefts (OFC) in the US. METHODS: This was a statewide, population-based, retrospective observational study of children with OFC born between 1998 and 2006, identified by the Florida Birth Defects Registry whose records were linked with longitudinal hospital discharge records. We stratified the descriptive results by cleft type [cleft lip with cleft palate, cleft lip, and cleft palate] and by isolated versus nonisolated OFC (accompanied by other coded major birth defects). We used Poisson regression to analyze associations between selected characteristics and high hospital resource use (≥90th percentile of estimated hospitalized days and inpatient costs) for birth, postbirth, and total hospitalizations initiated before age 2 years. RESULTS: Our analysis included 2,129 children with OFC. Infants who were born low birth weight (<2500 grams) were significantly more likely to have high birth hospitalization costs for CLP (adjusted prevalence ratio: 1.6 [95% confidence interval: 1.0-2.7]), CL (adjusted prevalence ratio: 3.0 [95% confidence interval: 1.1-8.1]), and CP (adjusted prevalence ratio: 2.3 [95% confidence interval: 1.3-4.0]). Presence of multiple birth defects was significantly associated with a three- to eleven-fold and a three- to nine-fold increase in the prevalence of high costs and number of hospitalized days, respectively; at birth, postbirth before age 2 years and overall hospitalizations. CONCLUSION: Children with cleft palate had the greatest hospital resources use. Additionally, the presence of multiple birth defects contributed to greater inpatient days and costs for children with OFC.

Birth defects data from population-based birth defects surveillance programs in the United States, 2007 to 2011: highlighting orofacial clefts.

© 2014 The Authors Birth Defects Research Part A: Clinical and Molecular Teratology Published by Wiley Periodicals, Inc.

Barriers to care for children with orofacial clefts in North Carolina.

BACKGROUND: Little is known about the barriers faced by families of children with birth defects in obtaining healthcare. We examined reported perceived barriers to care and satisfaction with care among mothers of children with orofacial clefts. METHODS: In 2006, a validated barriers to care mail/phone survey was administered in North Carolina to all resident mothers of children with orofacial clefts born between 2001 and 2004. Potential participants were identified using the North Carolina Birth Defects Monitoring Program, an active, state-wide, population-based birth defects registry. Five barriers to care subscales were examined: pragmatics, skills, marginalization, expectations, and knowledge/beliefs. Descriptive and bivariate analyses were conducted using chi-square and Fisher's exact tests. Results were stratified by cleft type and presence of other birth defects. RESULTS: Of 475 eligible participants, 51.6% (n = 245) responded. The six most commonly reported perceived barriers to care were all part of the pragmatics subscale: having to take time off work (45.3%); long waits in the waiting rooms (37.6%); taking care of household responsibilities (29.7%); meeting other family members' needs (29.5%); waiting too many days for appointments (27.0%); and cost (25.0%). Most respondents (72.3%, 175/242) felt "very satisfied" with their child's cleft care. CONCLUSION: Although most participants reported being satisfied with their child's care, many perceived barriers to care were identified. Due to the limited understanding and paucity of research on barriers to care for children with birth defects, including orofacial clefts, additional research on barriers to care and factors associated with them are needed.

Hospitalizations and associated costs in a population-based study of children with Down syndrome born in Florida.

BACKGROUND: Our objective was to examine differences in hospital resource usage for children with Down syndrome by age and the presence of other birth defects, particularly severe and nonsevere congenital heart defects (CHDs). METHODS: This was a retrospective, population-based, statewide study of children with Down syndrome born 1998 to 2007, identified by the Florida Birth Defects Registry (FBDR) and linked to hospital discharge records for 1 to 10 years after birth. To evaluate hospital resource usage, descriptive statistics on number of hospitalized days and hospital costs were calculated. Results were stratified by isolated Down syndrome (no other coded major birth defect); presence of severe and nonsevere CHDs; and presence of major FBDR-eligible birth defects without CHDs. RESULTS: For 2552 children with Down syndrome, there were 6856 inpatient admissions, of which 68.9% occurred during the first year of life (infancy). Of the 2552 children, 31.7% (n = 808) had isolated Down syndrome, 24.0% (n = 612) had severe CHDs, 36.3% (n = 927) had nonsevere CHDs, and 8.0% (n = 205) had a major FBDR-eligible birth defect in the absence of CHD. Infants in all three nonisolated DS groups had significantly higher hospital costs compared with those with isolated Down syndrome. From infancy through age 4, children with severe CHDs had the highest inpatient costs compared with children in the other sub-groups. CONCLUSION: Results support findings that for children with Down syndrome the presence of other anomalies influences hospital use and costs, and children with severe CHDs have greater hospital resource usage than children with other CHDs or major birth defects without CHDs.

Pediatric inpatient hospital resource use for congenital heart defects.

BACKGROUND: Congenital heart defects (CHDs) occur in approximately 8 per 1000 live births. Improvements in detection and treatment have increased survival. Few national estimates of the healthcare costs for infants, children and adolescents with CHDs are available. METHODS: We estimated hospital costs for hospitalizations using pediatric (0-20 years) hospital discharge data from the 2009 Healthcare Cost and Utilization Project Kids' Inpatient Database (KID) for hospitalizations with CHD diagnoses. Estimates were up-weighted to be nationally representative. Mean costs were compared by demographic factors and presence of critical CHDs (CCHDs). RESULTS: Up-weighting of the KID generated an estimated 4,461,615 pediatric hospitalizations nationwide, excluding normal newborn births. The 163,980 (3.7%) pediatric hospitalizations with CHDs accounted for approximately $5.6 billion in hospital costs, representing 15.1% of costs for all pediatric hospitalizations in 2009. Approximately 17% of CHD hospitalizations had a CCHD, but it varied by age: approximately 14% of hospitalizations of infants, 30% of hospitalizations of patients aged 1 to 10 years, and 25% of hospitalizations of patients aged 11 to 20 years. Mean costs of CHD hospitalizations were higher in infancy ($36,601) than at older ages and were higher for hospitalizations with a CCHD diagnosis ($52,899). Hospitalizations with CCHDs accounted for 26.7% of all costs for CHD hospitalizations, with hypoplastic left heart syndrome, coarctation of the aorta, and tetralogy of Fallot having the highest total costs. CONCLUSION: Hospitalizations for children with CHDs have disproportionately high hospital costs compared with other pediatric hospitalizations, and the 17% of hospitalizations with CCHD diagnoses accounted for 27% of CHD hospital costs.

Role of health insurance on the survival of infants with congenital heart defects.

OBJECTIVES: We examined the association between health insurance and survival of infants with congenital heart defects (CHDs), and whether medical insurance type contributed to racial/ethnic disparities in survival. METHODS: We conducted a population-based, retrospective study on a cohort of Florida resident infants born with CHDs between 1998 and 2007. We estimated neonatal, post-neonatal, and infant survival probabilities and adjusted hazard ratios (AHRs) for individual characteristics. RESULTS: Uninsured infants with critical CHDs had 3 times the mortality risk (AHR = 3.0; 95% confidence interval = 1.3, 6.9) than that in privately insured infants. Publicly insured infants had a 30% reduced mortality risk than that of privately insured infants during the neonatal period, but had a 30% increased risk in the post-neonatal period. Adjusting for insurance type reduced the Black-White disparity in mortality risk by 50%. CONCLUSIONS: Racial/ethnic disparities in survival were attenuated significantly, but not eliminated, by adjusting for payer status.

A public health economic assessment of hospitals' cost to screen newborns for critical congenital heart disease.

OBJECTIVE: Critical congenital heart disease (CCHD) was recently added to the U.S. Recommended Uniform Screening Panel for newborns. This evaluation aimed to estimate screening time and hospital cost per newborn screened for CCHD using pulse oximetry as part of a public health economic assessment of CCHD screening. METHODS: A cost survey and time and motion study were conducted in well-newborn and special/intensive care nurseries in a random sample of seven birthing hospitals in New Jersey, where the state legislature mandated CCHD screening in 2011. The sample was stratified by hospital facility level, hospital birth census, and geographic location. At the time of the evaluation, all hospitals had conducted CCHD screening for at least four months. RESULTS: Mean screening time per newborn was 9.1 (standard deviation = 3.4) minutes. Hospitals' total mean estimated cost per newborn screened was $14.19 (in 2011 U.S. dollars), consisting of $7.36 in labor costs and $6.83 in equipment and supply costs. CONCLUSIONS: This federal agency-state health department collaborative assessment is the first state-level analysis of time and hospital costs for CCHD screening using pulse oximetry conducted in the U.S. Hospitals' cost per newborn screened for CCHD with pulse oximetry is comparable with cost estimates of existing newborn screening tests. Hospitals' equipment costs varied substantially based on the pulse oximetry technology employed, with lower costs among hospitals that used reusable screening sensors. In combination with estimates of screening accuracy, effectiveness, and avoided costs, information from this evaluation suggests that CCHD screening is cost-effective.

Hospitalizations, costs, and mortality among infants with critical congenital heart disease: how important is timely detection?

BACKGROUND: Critical congenital heart disease (CCHD) was recently added to the U.S. Recommended Uniform Screening Panel for newborns. States considering screening requirements may want more information about the potential impact of screening. This study examined potentially avoidable mortality among infants with late detected CCHD and assessed whether late detection was associated with increased hospital resource use during infancy. METHODS: This was a state-wide, population-based, observational study of infants with CCHD (n = 3603) born 1998 to 2007 identified by the Florida Birth Defects Registry. We examined 12 CCHD conditions that are targets of newborn screening. Late detection was defined as CCHD diagnosis after the birth hospitalization. Deaths potentially avoidable through screening were defined as those that occurred outside a hospital following birth hospitalization discharge and those that occurred within 3 days of an emergency readmission. RESULTS: For 23% (n = 825) of infants, CCHD was not detected during the birth hospitalization. Death occurred among 20% (n = 568/2,778) of infants with timely detected CCHD and 8% (n = 66/825) of infants with late detected CCHD, unadjusted for clinical characteristics. Potentially preventable deaths occurred in 1.8% (n = 15/825) of infants with late detected CCHD (0.4% of all infants with CCHD). In multivariable models adjusted for selected characteristics, late CCHD detection was significantly associated with 52% more admissions, 18% more hospitalized days, and 35% higher inpatient costs during infancy. CONCLUSION: Increased CCHD detection at birth hospitals through screening may lead to decreased hospital costs and avoid some deaths during infancy. Additional studies conducted after screening implementation are needed to confirm these findings.

Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems.

BACKGROUND: Children with birth defects may face significant geographic barriers accessing medical care and specialized services. Using a Geographic Information Systems-based approach, one-way travel time and distance to access medical care for children born with spina bifida was estimated. METHODS: Using 2007 road information from the Florida Department of Transportation, we built a topological network of Florida roads. Live-born Florida infants with spina bifida during 1998 to 2007 were identified by the Florida Birth Defects Registry and linked to hospital discharge records. Maternal residence at delivery and hospitalization locations were identified during the first year of life. RESULTS: Of 668 infants with spina bifida, 8.1% (n = 54) could not be linked to inpatient data, resulting in 614 infants. Of those 614 infants, 99.7% (n = 612) of the maternal residential addresses at delivery were successfully geocoded. Infants with spina bifida living in rural areas in Florida experienced travel times almost twice as high compared with those living in urban areas. When aggregated at county levels, one-way network travel times exhibited statistically significant spatial autocorrelation, indicating that families living in some clusters of counties experienced substantially greater travel times compared with families living in other areas of Florida. CONCLUSION: This analysis demonstrates the usefulness of linking birth defects registry and hospital discharge data to examine geographic differences in access to medical care. Geographic Information Systems methods are important in evaluating accessibility and geographic barriers to care and could be used among children with special health care needs, including children with birth defects.

Factors associated with distance and time traveled to cleft and craniofacial care.

BACKGROUND: Information on travel distance and time to care for children with birth defects is lacking. We examined factors associated with travel distance and time to cleft care among children with orofacial clefts. METHODS: In 2006, a mail/phone survey was administered in English and Spanish to all resident mothers of children with orofacial clefts born 2001 to 2004 and identified by the North Carolina birth defects registry. We analyzed one-way travel distance and time and the extent to which taking a child to care was a problem. We used multivariable logistic regression to examine the association between selected sociodemographic factors and travel distance (≤60 miles and >60 miles) and time (≤60 min and >60 min) to cleft care. RESULTS: Of 475 eligible participants, 51.6% (n = 245) responded. Of the respondents, 97.1% (n = 238) were the child's biological mother. Approximately 83% (n = 204) of respondents were non-Hispanic White; 33.3% (n = 81) were college educated; and 50.0% (n = 115) had private health insurance. One-way mean and median travel distances were 80 and 50 miles, respectively (range, 0-1058 miles). One-way mean and median travel times were 92 and 60 min, respectively (range, 5 min to 8 hr). After adjusting for selected sociodemographics, travel distance varied significantly by maternal education, child's age, and cleft type. Travel time varied significantly by child's age. Approximately 67% (n = 162) reported taking their child to receive care was not a problem. CONCLUSION: Approximately 48% of respondents traveled > 1 hr to receive cleft care. Increasing access to care may be important for improving health outcomes among this population.

Cost-effectiveness of routine screening for critical congenital heart disease in US newborns.

OBJECTIVES: Clinical evidence indicates newborn critical congenital heart disease (CCHD) screening through pulse oximetry is lifesaving. In 2011, CCHD was added to the US Recommended Uniform Screening Panel for newborns. Several states have implemented or are considering screening mandates. This study aimed to estimate the cost-effectiveness of routine screening among US newborns unsuspected of having CCHD. METHODS: We developed a cohort model with a time horizon of infancy to estimate the inpatient medical costs and health benefits of CCHD screening. Model inputs were derived from new estimates of hospital screening costs and inpatient care for infants with late-detected CCHD, defined as no diagnosis at the birth hospital. We estimated the number of newborns with CCHD detected at birth hospitals and life-years saved with routine screening compared with no screening. RESULTS: Screening was estimated to incur an additional cost of $6.28 per newborn, with incremental costs of $20 862 per newborn with CCHD detected at birth hospitals and $40 385 per life-year gained (2011 US dollars). We estimated 1189 more newborns with CCHD would be identified at birth hospitals and 20 infant deaths averted annually with screening. Another 1975 false-positive results not associated with CCHD were estimated to occur, although these results had a minimal impact on total estimated costs. CONCLUSIONS: This study provides the first US cost-effectiveness analysis of CCHD screening in the United States could be reasonably cost-effective. We anticipate data from states that have recently approved or initiated CCHD screening will become available over the next few years to refine these projections.

Hospital use, associated costs, and payer status for infants born with spina bifida.

BACKGROUND: Health care use and costs for children with spina bifida (SB) are significantly greater than those of unaffected children. Little is known about hospital use and costs across health insurance payer types. We examined hospitalizations and associated costs by sociodemographic characteristics and payer type during the first year of life among children with SB. We also examined changes in health insurance payer status. METHODS: This study was a retrospective, statewide population-based analysis of infants with SB without anencephaly born in Florida during 1998-2007. Infants were identified by the Florida Birth Defects Registry and linked to hospital discharge records. Descriptive statistics on number of hospitalizations, length of stay, and estimated hospital costs per hospitalization and per infant were calculated during the first year of life. Results were stratified by selected sociodemographic variables and health insurance payer type. RESULTS: Among 615 infants with SB, mean and median numbers of hospitalizations per infant were 2.4 and 2.0, respectively. Mean and median total days of hospitalization per infant were 25.2 and 14.0 days, respectively. Approximately 18% of infants were hospitalized more than three times. Among infants with multiple hospitalizations, 16.7% had a mix of public and private health insurance payers. Almost 60% of hospitalizations for infants were paid by public payer sources. Mean and median estimated hospital costs per infant were $39,059 and $21,937, respectively. CONCLUSIONS: Results suggest a small percentage of infants with SB have multiple hospitalizations with high costs. Further analysis on factors associated with length of stay, hospitalizations, and costs is warranted.