Laboratory-based surveillance of chronic kidney disease in people with private health coverage in Brazil.

BACKGROUND: Although approximately 25% of Brazilians have private health coverage (PHC), studies on the surveillance of chronic kidney disease (CKD) in this population are scarce. The objective of this study was to estimate the prevalence of CKD in individuals under two PHC regimes in Brazil, who total 8,335,724 beneficiaries. METHODS: Outpatient serum creatinine and proteinuria results of individuals from all five regions of Brazil, ≥ 18 years of age, and performed between 10/01/2021 and 10/31/2022, were analyzed through the own laboratory network database. People with serum creatinine measurements were evaluated for the prevalence and staging of CKD, and those with simultaneous measurements of serum creatinine and proteinuria were evaluated for the risk category of the disease. CKD was classified according to current guidelines and was defined as a glomerular filtration rate (GFR) < 60 ml/min/1.73 m² estimated by the 2021 CKD-EPI equation. RESULTS: The number of adults with serum creatinine results was 1,508,766 (age 44.0 [IQR, 33.9-56.8] years, 62.3% female). The estimated prevalence of CKD was 3.8% (2.6%, 0.8%, 0.2% and 0.2% in CKD stages 3a, 3b, 4 and 5, respectively), and it was higher in males than females (4.0% vs. 3.7%, p < 0.001, respectively) and in older age groups (0.2% among 18-29-year-olds, 0.5% among 30-44-year-olds, 2.0% among 45-59-year-olds, 9.4% among 60-74-year-olds, and 32.4% among ≥ 75-year-olds, p < 0.001) Adults with simultaneous results of creatinine and proteinuria were 64,178 (age 57.0 [IQR, 44.8-67.3] years, 58.1% female). After adjusting for age and gender, 70.1% were in the low-risk category of CKD, 20.0% were in the moderate-risk category, 5.8% were in the high-risk category, and 4.1% were in the very high-risk category. CONCLUSION: The estimated prevalence of CKD was 3.8%, and approximately 10% of the participants were in the categories of high or very high-risk of the disease. While almost 20% of beneficiaries with PHC had serum creatinine data, fewer than 1% underwent tests for proteinuria. This study was one of the largest ever conducted in Brazil and the first one to use the 2021 CKD-EPI equation to estimate the prevalence of CKD.

Assessment of the integrated disease surveillance and response system implementation in health zones at risk for viral hemorrhagic fever outbreaks in North Kivu, Democratic Republic of the Congo, following a major Ebola outbreak, 2021.

BACKGROUND: The Democratic Republic of the Congo (DRC) experienced its largest Ebola Virus Disease Outbreak in 2018-2020. As a result of the outbreak, significant funding and international support were provided to Eastern DRC to improve disease surveillance. The Integrated Disease Surveillance and Response (IDSR) strategy has been used in the DRC as a framework to strengthen public health surveillance, and full implementation could be critical as the DRC continues to face threats of various epidemic-prone diseases. In 2021, the DRC initiated an IDSR assessment in North Kivu province to assess the capabilities of the public health system to detect and respond to new public health threats. METHODS: The study utilized a mixed-methods design consisting of quantitative and qualitative methods. Quantitative assessment of the performance in IDSR core functions was conducted at multiple levels of the tiered health system through a standardized questionnaire and analysis of health data. Qualitative data were also collected through observations, focus groups and open-ended questions. Data were collected at the North Kivu provincial public health office, five health zones, 66 healthcare facilities, and from community health workers in 15 health areas. RESULTS: Thirty-six percent of health facilities had no case definition documents and 53% had no blank case reporting forms, limiting identification and reporting. Data completeness and timeliness among health facilities were 53% and 75% overall but varied widely by health zone. While these indicators seemingly improved at the health zone level at 100% and 97% respectively, the health facility data feeding into the reporting structure were inconsistent. The use of electronic Integrated Disease Surveillance and Response is not widely implemented. Rapid response teams were generally available, but functionality was low with lack of guidance documents and long response times. CONCLUSION: Support is needed at the lower levels of the public health system and to address specific zones with low performance. Limitations in materials, resources for communication and transportation, and workforce training continue to be challenges. This assessment highlights the need to move from outbreak-focused support and funding to building systems that can improve the long-term functionality of the routine disease surveillance system.

Tuberculosis in people of Ukrainian origin in the European Union and the European Economic Area, 2019 to 2022.

Approximately five million Ukrainians were displaced to the EU/EEA following the Russian invasion of Ukraine. While tuberculosis (TB) notification rates per 100,000 Ukrainians in the EU/EEA remained stable, the number of notified TB cases in Ukrainians increased almost fourfold (mean 2019-2021: 201; 2022: 780). In 2022, 71% cases were notified in three countries, and almost 20% of drug-resistant TB cases were of Ukrainian origin. Targeted healthcare services for Ukrainians are vital for early diagnosis and treatment, and preventing transmission.

The Characterization of Violent Deaths Among Asian and Pacific Islander Americans.

INTRODUCTION: Health disparities in the Asian and Pacific Islander Americans (APIAs) community have not been well described, unlike non-Hispanic Black and Hispanic communities. However, there has been a rise in violence against the APIA community. This study explores and characterizes violent death by incident (e.g., homicide, suicide), weapon (e.g., firearm, strangulation), and location types among APIAs as they compare with other racial or ethnic groups. METHODS: We used the National Violent Death Reporting System from 2003 to 2018 to characterize violent deaths among APIA and compared them to all other races. We compared these racial categories in two ways. First, we compared all races as a categorical variable that included six non-Hispanic racial categories including "Other or unspecified" and "two or more races. We then created a binary variable of APIA versus All Other Races for analysis. We explored the incident type of death, substance abuse disorders, mental health history, and gang involvement among other variables. We used Chi-square tests for categorical variables and Mann-Whitney U-tests for continuous variables. RESULTS: Overall, APIAs had a unique pattern of violent death. APIAs were more likely to commit suicide (71.74%-62.21%, P<0.001) and less likely to die of homicide than other races (17.56%-24.31%, P<0.001). In the cases of homicide, APIAs were more likely to have their deaths precipitated by another crime (40.87% versus 27.87%, P < 0.001). APIAs were more than twice as likely to die of strangulation than other races (39.93%-18.06%, P<0.001). Conversely, APIAs were less likely to die by firearm than other races (29.69-51.51, P<0.001). CONCLUSIONS: APIAs have a unique pattern of violence based on analysis of data from the National Violent Death Reporting System. Our data reveal a significant difference in the incident, weapon and location type as compared to Americans of other races, which begs further inquiry into the patterns of change in time and factors that contribute to inter-racial differences in death patterns.

CDC Guidance for Community Assessment and Investigation of Suspected Suicide Clusters, United States, 2024.

This report is the second of three reports in the MMWR supplement updating CDC's guidance for investigating and responding to suicide clusters. The first report, Background and Rationale - CDC Guidance for Assessing, Investigating, and Responding to Suicide Clusters, United States, 2024, describes an overview of suicide clusters, methods used to develop the supplement guidance, and intended use of the supplement reports. The final report, CDC Guidance for Community Response to Suicide Clusters, United States, 2024, describes how local public health and community leaders can develop a response plan for suicide clusters. This report provides updated guidance for the approach to assessing and investigating suspected suicide clusters. Specifically, this approach will guide lead agencies in determining whether a confirmed suicide cluster exists, what concerns are in the community, and what the specific characteristics are of the suspected or confirmed suicide cluster. The guidance in this report is intended to support and assist lead agencies and their community prepare for, assess, and investigate suicide clusters. The steps provided in this report can be adapted to the local context, culture, capacity, circumstances, and needs for each suspected suicide cluster.

Comparing Self-Reported and Aggregated Racial Classification for American Indian/Alaska Native Youths in YRBSS: 2021.

Objectives. To identify how race and ethnicity were reclassified with survey variables for children self-reporting as American Indian/Alaska Native (AI/AN) using the 2021 Youth Risk Behavior Surveillance System (YRBSS). Methods. We conducted a cross-sectional analysis of the US Centers for Disease Control and Prevention's 2021 YRBSS. YRBSS collects behaviors and demographics of students in grades 9 through 12, including race and ethnicity via self-report, and then reclassifies data into a "raceeth" variable. To examine the classification of AI/AN in YRBSS, we compared AI/AN composition between self-report and raceeth variables. Results. A total of 816 adolescents self-reported as AI/AN alone (145; 17.70%), AI/AN alone with Hispanic/Latino background (246; 30.15%), or AI/AN in combination with 1 or more race (425; 52.08%). Of those, only 145 were classified as being AI/AN in the calculated raceeth variable. With YRBSS survey weighting, the percentage of AI/AN in the raceeth variable was 13.4%. Conclusions. Misclassification, noncollection, or the use of categories such as "other" and "multirace" without allowing disaggregation can misrepresent disease burden, morbidity, and mortality. Consequently, it is critical to disaggregate data to adequately capture race/ethnicity in self-report surveys and data sources. (Am J Public Health. 2024;114(4):403-406. https://doi.org/10.2105/AJPH.2023.307561).

Surveillance Compliance and Quality of Life Assessment Among Surgical Patients with Familial Adenomatous Polyposis Syndrome.

BACKGROUND: Familial adenomatous polyposis (FAP) syndrome has a near-100% lifetime risk of colorectal cancer. Early surveillance and prophylactic surgery have been advocated to reduce this risk. However, the surveillance practices among FAP individuals in Saudi Arabia are unknown. We aimed to explore surveillance compliance in our population, as well as the disease impact on their quality of life (QoL). METHODS: All patients with FAP who underwent surgical resection at King Saud University Medical City between 2016 and 2022 were included. Demographic data, clinical features, family history, and compliance with surveillance were collected and analyzed. QoL questionnaires: Short-form health survey (SF-36) and European Organization for Research and Treatment (EORTC) were conducted by phone interview. RESULTS: A total of 14 patients were included with an average age of 25 years. Three patients (21.4%) were the first of their family members to develop FAP. Nine patients (64%) were untested for genetic mutation due to lack of referral to geneticists. The compliance rate toward both pre-operative colonoscopy and upper endoscopy were 78%. However, 38% and 27% compliance rates were observed toward initial and post-operative colonoscopy, respectively. The compliance rate was 14% toward thyroid ultrasound. QoL scores varied among patients, with a mean score above 60 across all SF-36 domains. CONCLUSION: An overall poor compliance was observed among our participants, particularly toward thyroid ultrasound. Increased health awareness and patient education are essential. In addition, the importance of surveillance and genetic counseling should be emphasized among physicians treating these patients.

Gaps in U.S. Public Health Monitoring and Surveillance Systems in Puerto Rico.

INTRODUCTION: Puerto Rico (PR) has an ambiguous status within Centers for Disease Control and Prevention (CDC) public health monitoring and surveillance systems. However, as a U.S. territory, PR relies on federal health resource allocation processes that are informed by these data sources. This study sought to quantify the coverage of PR within CDC-supported systems compared with the 50 states, describe coverage across critical system-types, and assess the availability of data collection instruments in Spanish. METHODS: This cross-sectional observational study employed the method of data curation by identifying, collecting, and categorizing data primarily from web-based sources maintained by the CDC. Data were originally collected and coded from August 2021 to March 2022 and reviewed by two additional coders from October 2022 to March 2023. Each curated system was assessed to determine coverage of PR across five system-types (probability-based, case-based, administrative, registry, and multiple-source) compared with the 50 states. The availability of data collection instruments in Spanish was also assessed. RESULTS: Of 93 active CDC-supported systems assessed, results revealed that PR was not covered in 54% of CDC-supported systems. Comparatively, inclusive coverage of all 50 states was only lacking in 33% of CDC-supported systems. Of the 32 CDC-supported systems in PR that could be coded for language, only 53% had data collection instruments in Spanish. CONCLUSIONS: There are significant gaps in the coverage of PR within CDC-supported systems. Future efforts must be made to identify the reasons for this exclusion and increase the territory's representation within these essential public health data systems.

Comparing approaches to identify live births using the Transformed Medicaid Statistical Information System.

OBJECTIVE: To evaluate the performance of different approaches for identifying live births using Transformed Medicaid Statistical Information System Analytic Files (TAF). DATA SOURCES: The primary data source for this study were TAF inpatient (IP), other services (OT), and demographic and eligibility files. These data contain administrative claims for Medicaid enrollees in all 50 states and the District of Columbia from January 1, 2018 to December 31, 2018. STUDY DESIGN: We compared five approaches for identifying live birth counts obtained from the TAF IP and OT data with the Centers for Disease Control and Prevention (CDC) Natality data-the gold standard for birth counts at the state level. DATA COLLECTION/EXTRACTION METHODS: The five approaches used varying combinations of diagnosis and procedure, revenue, and place of service codes to identify live births. Approaches 1 and 2 follow guidance developed by the Centers for Medicare and Medicaid Services (CMS). Approaches 3 and 4 build on the approaches developed by CMS by including all inpatient hospital claims in the OT file and excluding codes related to delivery services for infants, respectively. Approach 5 applied Approach 4 to only the IP file. PRINCIPAL FINDINGS: Approach 4, which included all inpatient hospital claims in the OT file and excluded codes related to infants to identify deliveries, achieved the best match of birth counts relative to CDC birth record data, identifying 1,656,794 live births-a national overcount of 3.6%. Approaches 1 and 3 resulted in larger overcounts of births (20.5% and 4.5%), while Approaches 2 and 5 resulted in undercounts of births (-3.4% and -6.8%). CONCLUSIONS: Including claims from both the IP and OT files, and excluding codes unrelated to the delivery episode and those specific to services rendered to infants improves accuracy of live birth identification in the TAF data.

Costs of Fatal and Nonfatal Firearm Injuries in the U.S., 2019 and 2020.

INTRODUCTION: Firearm-related injuries are among the five leading causes of death for people aged 1-44 years in the U.S. The immediate and long-term harms of firearm injuries pose an economic burden on society. Fatal and nonfatal firearm injury costs in the U.S. were estimated providing up-to-date economic burden estimates. METHODS: Counts of nonfatal firearm injuries were obtained from the 2019-2020 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample. Data on nonfatal injury intent were obtained from the National Electronic Injury Surveillance System - Firearm Injury Surveillance System. Counts of deaths (firearm as underlying cause) were obtained from the 2019-2020 multiple cause-of-death mortality data from the National Vital Statistics System. Analyses were conducted in 2023. RESULTS: The total cost of firearm related injuries and deaths in the U.S. for 2020 was $493.2 billion, a 16 percent increase compared with 2019. There are significant disparities in the cost of firearm deaths in 2019-2020, with non-Hispanic Black people, males, and young and middle-aged groups being the most affected. CONCLUSIONS: Most of the nonfatal firearm injury-related costs are attributed to hospitalization. These findings highlight the racial/ethnic differences in fatal firearm injuries and the disproportionate cost burden to urban areas. Addressing this important public health problem can help ameliorate the costs to our society from the rising rates of firearm injuries.

Prevalence and correlates of very rapid repeat pregnancy: Pregnancy Risk Assessment Monitoring System, United States, 2009-2020.

BACKGROUND: Most rapid repeat pregnancies, defined as those occurring within 18 months of a previous birth, are unintended. These pregnancies are associated with later initiation of prenatal care and are more common among people with lower socio-economic status and among racially and ethnically minoritised populations. OBJECTIVES: To assess prevalence and correlate pregnancies occurring in the immediate period after a live birth in the United States, using the Pregnancy Risk Assessment Monitoring System (PRAMS). METHODS: We assessed data from the 2009-2020 PRAMS, a population-based survey of perinatal maternal characteristics of mothers of liveborn infants in US locations. We assessed pregnancies reported during the immediate postpartum period (approximately 2-6 months post-delivery), and term this 'very rapid repeat pregnancy' (VRRP). We assessed the adjusted prevalence of VRRP from 2009 to 2020. From 2016 to 2020, we calculated adjusted prevalence ratios (aPR) with 95% confidence intervals (CI) for maternal characteristics. RESULTS: The adjusted prevalence of VRRP ranged from 0.38% (95% CI: 0.29, 0.48) in 2009 to 0.76% (95% CI: 0.61, 0.91) in 2020. Demographic characteristics associated with VRRP included younger age, lower educational attainment, and being unmarried. Black mothers had a higher prevalence of VRRP compared to white mothers. Mothers who attended a healthcare visit in the 12 months preconception had a lower prevalence of VRRP as did mothers who attended a postpartum check-up, compared to their counterparts without these visits. Among those receiving prenatal care, mothers whose prenatal healthcare provider asked about postpartum contraception birth had a lower prevalence of VRRP, compared to those not asked about postpartum contraception. CONCLUSIONS: VRRP appeared to increase over time in 2009-2020. Mothers who are younger, Black, have lower educational attainment, or who did not attend healthcare visits before or after pregnancy had a higher prevalence of VRRP and may comprise a population who would benefit from additional family planning resources.

Racial Disparity among Youth Decedents of Legal Intervention Trauma.

BACKGROUND: Legal intervention trauma (LIT) is defined as injury due to any encounter with law enforcement. This study investigates associations between demographics, violent status, and law enforcement tactics among youth decedents of LIT. STUDY DESIGN: Decedents of LIT age 26 years or younger were identified using the CDC's National Violent Death Reporting System from 2003 to 2018. Decedents were classified as "violent" if they possessed a weapon, were committing a violent crime, or if law enforcement reported justified use of force. All others were classified as "nonviolent." Law enforcement tactics were stratified into "lethal" (firearm with standard ammunition) or "less lethal" (any other) force. Differences in the racial distribution across these classifications were assessed using chi-square tests of proportions. RESULTS: We identified 1,281 youth decedents of LIT; of which, 92.5% met violent criteria. Black youths were less likely than White youths to possess a weapon (71.6% vs 77.4%, p = 0.02) and were not more likely to be committing a violent crime (63.6% vs 60.4%, p = 0.27). They were, however, more likely than White youths to experience force reported as justified by law enforcement (89.9% vs 82.4%, p = 0.002) and to experience exclusively lethal force not preceded by less-lethal tactics (94.0% vs 88.7%, p = 0.001). Among the subset of 85 cases where law enforcement reported justified use of force despite the decedent not possessing a weapon or committing a violent crime, the precipitating event was more often a traffic stop for Black youths than for White youths (28.5% vs 6.66%, p = 0.02). CONCLUSIONS: These findings indicate a racial disparity among youth decedents of LIT.

Disparities in preconception health indicators in U.S. women: a cross-sectional analysis of the behavioral risk factor surveillance system 2019.

OBJECTIVES: Optimized preconception care improves birth outcomes and women's health. Yet, little research exists identifying inequities impacting preconception health. This study identifies age, race/ethnicity, education, urbanicity, and income inequities in preconception health. METHODS: We performed a cross-sectional analysis of the Center for Disease Control and Prevention's (CDC) 2019 Behavioral Risk Factor Surveillance System (BRFSS). This study included women aged 18-49 years who (1) reported they were not using any type of contraceptive measure during their last sexual encounter (usage of condoms, birth control, etc.) and (2) reported wanting to become pregnant from the BRFSS Family Planning module. Sociodemographic variables included age, race/ethnicity, education, urbanicity, and annual household income. Preconception health indicators were subdivided into three categories of Physical/Mental Health, Healthcare Access, and Behavioral Health. Chi-squared statistical analysis was utilized to identify sociodemographic inequities in preconception health indicators. RESULTS: Within the Physical/Mental Health category, we found statistically significant differences among depressive disorder, obesity, high blood pressure, and diabetes. In the Healthcare Access category, we found statistically significant differences in health insurance status, having a primary care doctor, and being able to afford a medical visit. Within the Behavioral Health category, we found statistically significant differences in smoking tobacco, consuming alcohol, exercising in the past 30 days, and fruit and vegetable consumption. CONCLUSIONS: Maternal mortality and poor maternal health outcomes are influenced by many factors. Further research efforts to identify contributing factors will improve the implementation of targeted preventative measures in directly affected populations to alleviate the current maternal health crisis.

SuperMap-Based Research on the Spread Situation and Visual Monitoring Platform of Major Health Events.

To present information on infectious diseases caused by viruses clearly and track the changes of data in real-time, data visualization can be used preferentially considering that it can identify problems behind data accurately. In this paper, based on the SuperMap Online platform and Tianditu, a national platform for common geospatial information services, a risk level map of infectious diseases distribution area is made by Web GIS and cartography. Meanwhile, the platform plays an important role in information collection, management, analysis, prevention and control, and release of measures when a major health event spreads. The method shows many advantages, such as various visualization means, ease to be published and shared, simple operation, and programming realization, which may be taken as technical references for solving the same type of visualization application problems. The research also facilitates the data visualization and monitoring of the spread of infectious diseases in major health events, and can effectively provide services for monitoring, decision-making, dispatching, and handling the spread of infectious diseases.

[The assessment of asbestos exposure of mesothelioma cases registered in Italy: which problems more than thirty years after the birth of the first regional archives]. / La valutazione dell'esposizione ad amianto dei casi di mesotelioma maligno registrati in Italia: quali problematiche a più di trent'anni dalla nascita dei primi archivi regionali.

More than 30 years have passed since the beginning of the epidemiological surveillance of mesothelioma (MM). The Italian National Mesothelioma Register (ReNaM), part of the research department of the National Institute for insurance against industrial injuries (INAIL), has published 7 reports with the description of the cas-es concerning the assessment of diagnoses and exposures to asbestos suffered mainly during working activities but also environmental, in the family premises and during personal activities.Today we are witnessing a reduction in the commitment by some regions which negatively affects those who develop the pathology. Reading the ReNaM reports it emerges, among others, the problem of the delay in reporting new cases which limits the collection of information directly from patients. This contribution, discussing various topics, invites to develop a debate that should allow to update and resolve the critical aspects that arise after decades of activity regarding, in particular, the asbestos exposure assessment. It is the primary interest of the authors to give continuity and improve the ReNaM which remains the most prestigious MM register among those active in other countries.

Addressing health disparities using multiply imputed injury surveillance data.

BACKGROUND: Assessing disparities in injury is crucial for injury prevention and for evaluating injury prevention strategies, but efforts have been hampered by missing data. This study aimed to show the utility and reliability of the injury surveillance system as a trustworthy resource for examining disparities by generating multiple imputed companion datasets. METHODS: We employed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) for the period 2014-2018. A comprehensive simulation study was conducted to identify the appropriate strategy for addressing missing data limitations in NEISS-AIP. To evaluate the imputation performance more quantitatively, a new method based on Brier Skill Score (BSS) was developed to assess the accuracy of predictions by different approaches. We selected the multiple imputations by fully conditional specification (FCS MI) to generate the imputed companion data to NEISS-AIP 2014-2018. We further assessed health disparities systematically in nonfatal assault injuries treated in U.S. hospital emergency departments (EDs) by race and ethnicity, location of injury and sex. RESULTS: We found for the first time that significantly higher age-adjusted nonfatal assault injury rates for ED visits per 100,000 population occurred among non-Hispanic Black persons (1306.8, 95% Confidence Interval [CI]: 660.1 - 1953.5), in public settings (286.3, 95% CI: 183.2 - 389.4) and for males (603.5, 95% CI: 409.4 - 797.5). We also observed similar trends in age-adjusted rates (AARs) by different subgroups for non-Hispanic Black persons, injuries occurring in public settings, and for males: AARs of nonfatal assault injury increased significantly from 2014 through 2017, then declined significantly in 2018. CONCLUSIONS: Nonfatal assault injury imposes significant health care costs and productivity losses for millions of people each year. This study is the first to specifically look at health disparities in nonfatal assault injuries using multiply imputed companion data. Understanding how disparities differ by various groups may lead to the development of more effective initiatives to prevent such injury.

Evaluation of Assisted Reproductive Technology Health Insurance Coverage for Multiple Pregnancies and Births in Korea.

Importance: While various policies to support couples experiencing infertility have been introduced due to the fertility rate rapidly dropping in developed countries, few large-scale nationwide cohort studies have evaluated the outcomes of assisted reproductive technology (ART) health insurance coverage policies. Objective: To evaluate ART health insurance coverage for multiple pregnancies and births in Korea. Design, Setting, and Participants: This population-based cohort study used delivery cohort data from the Korean National Health Insurance Service database between July 1, 2015, and December 31, 2019. A total of 1 474 484 women were included after exclusion of those who gave birth at nonmedical institutions and those with missing data. Exposure: Two 27-month periods were examined before and after the Korean National Health Insurance Service had begun covering ART treatment (preintervention period, July 1, 2015, to September 30, 2017; postintervention period, October 1, 2017, to December 31, 2019). Main Outcomes and Measures: Multiple pregnancies and multiple births were identified by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes. Total births were defined as the total number of babies born to each pregnant woman during the follow-up period. An interrupted time series with segmented regression was conducted to analyze the time trend and its change in outcomes. Data analysis was conducted between December 2, 2022, and February 15, 2023. Results: Of the 1 474 484 women eligible for the analysis (mean [SD] age, 33.2 [4.6] years), approximately 1.60% had multiple pregnancies and 1.10% had multiple births. After covering ART treatment, the likelihood of multiple pregnancies and multiple births was estimated to increase by 0.7% (estimate, 1.007; 95% CI, 1.004-1.011; P < .001) and 1.2% (estimate, 1.012; 95% CI, 1.007-1.016; P < .001) compared with before coverage. The probability of an increase in the number of total births per pregnant woman after the intervention was estimated to be 0.5% (estimate, 1.005; 95% CI, 1.005-1.005; P < .001). The relatively high-income class above the median income showed a decreasing trend in multiple births and total births before the intervention, but after the intervention, a significant increase was observed. Conclusions and Relevance: This population-based cohort study found that the possibility of multiple pregnancies and births in Korea significantly increased after the implementation of an ART health insurance coverage policy. These findings suggest that the development and coverage of policies to support couples experiencing infertility may help address low fertility rates.

Foodborne Illness Outbreaks at Retail Food Establishments - National Environmental Assessment Reporting System, 25 State and Local Health Departments, 2017-2019.

Problem/Condition: Each year, state and local public health departments report hundreds of foodborne illness outbreaks associated with retail food establishments (e.g., restaurants or caterers) to CDC. Typically, investigations involve epidemiology, laboratory, and environmental health components. Health departments voluntarily report epidemiologic and laboratory data from their foodborne illness outbreak investigations to CDC through the National Outbreak Reporting System (NORS); however, minimal environmental health data from outbreak investigations are reported to NORS. This report summarizes environmental health data collected during outbreak investigations and reported to the National Environmental Assessment Reporting System (NEARS). Period Covered: 2017-2019. Description of System: In 2014, CDC launched NEARS to complement NORS surveillance and to use these data to enhance prevention efforts. State and local health departments voluntarily enter data from their foodborne illness outbreak investigations of retail food establishments into NEARS. These data include characteristics of foodborne illness outbreaks (e.g., etiologic agent and factors contributing to the outbreak), characteristics of establishments with outbreaks (e.g., number of meals served daily), and food safety policies in these establishments (e.g., ill worker policy requirements). NEARS is the only available data source that collects environmental characteristics of retail establishments with foodborne illness outbreaks. Results: During 2017-2019, a total of 800 foodborne illness outbreaks associated with 875 retail food establishments were reported to NEARS by 25 state and local health departments. Among outbreaks with a confirmed or suspected agent (555 of 800 [69.4%]), the most common pathogens were norovirus and Salmonella, accounting for 47.0% and 18.6% of outbreaks, respectively. Contributing factors were identified in 62.5% of outbreaks. Approximately 40% of outbreaks with identified contributing factors had at least one reported factor associated with food contamination by an ill or infectious food worker. Investigators conducted an interview with an establishment manager in 679 (84.9%) outbreaks. Of the 725 managers interviewed, most (91.7%) said their establishment had a policy requiring food workers to notify their manager when they were ill, and 66.0% also said these policies were written. Only 23.0% said their policy listed all five illness symptoms workers needed to notify managers about (i.e., vomiting, diarrhea, jaundice, sore throat with fever, and lesion with pus). Most (85.5%) said that their establishment had a policy restricting or excluding ill workers from working, and 62.4% said these policies were written. Only 17.8% said their policy listed all five illness symptoms that would require restriction or exclusion from work. Only 16.1% of establishments with outbreaks had policies addressing all four components relating to ill or infectious workers (i.e., policy requires workers to notify a manager when they are ill, policy specifies all five illness symptoms workers need to notify managers about, policy restricts or excludes ill workers from working, and policy specifies all five illness symptoms requiring restriction or exclusion from work). Interpretation: Norovirus was the most commonly identified cause of outbreaks reported to NEARS, and contamination of food by ill or infectious food workers contributed to approximately 40% of outbreaks with identified contributing factors. These findings are consistent with findings from other national outbreak data sets and highlight the role of ill workers in foodborne illness outbreaks. Although a majority of managers reported their establishment had an ill worker policy, often these policies were missing components intended to reduce foodborne illness risk. Contamination of food by ill or infectious food workers is an important cause of outbreaks; therefore, the content and enforcement of existing policies might need to be re-examined and refined. Public Health Action: Retail food establishments can reduce viral foodborne illness outbreaks by protecting food from contamination through proper hand hygiene and excluding ill or infectious workers from working. Development and implementation of policies that prevent contamination of food by workers are important to foodborne outbreak reduction. NEARS data can help identify gaps in food safety policies and practices, particularly those concerning ill workers. Future analyses of stratified data linking specific outbreak agents and foods with outbreak contributing factors can help guide the development of effective prevention approaches by describing how establishments' characteristics and food safety policies and practices relate to foodborne illness outbreaks.

The Imperative for Population-based Cancer Registration of All Metastatic Cancers.

Metastases are the main cause of morbidity and mortality from solid tumors. Surprisingly, population-based cancer registries in various countries, including the National Cancer Institute's Surveillance, Epidemiology, and End Results program in the United States, only capture data on individuals diagnosed with cancers that are metastatic at diagnosis (M1). Metastatic recurrences of previously diagnosed, initially nonmetastatic tumors are missed. Devasia and colleagues specify an illness-death model for chronic disease and estimate that in prostate cancer, which has a large pool of primary disease that may or may not progress to metastases, about half of all metastatic cancers arise as recurrences from initially nonmetastatic disease. Capturing all incident metastatic cancer cases across all tumor types in population-based cancer registries, not only based on initial stage at diagnosis, would be critical to better understand the disparities in metastatic disease burden and the effectiveness of primary prevention, screening, and therapies for primary and metastatic disease. See related article by Devasia et al., p. 659.