PROVIDENT: Development and Validation of a Machine Learning Model to Predict Neighborhood-level Overdose Risk in Rhode Island.

BACKGROUND: Drug overdose persists as a leading cause of death in the United States, but resources to address it remain limited. As a result, health authorities must consider where to allocate scarce resources within their jurisdictions. Machine learning offers a strategy to identify areas with increased future overdose risk to proactively allocate overdose prevention resources. This modeling study is embedded in a randomized trial to measure the effect of proactive resource allocation on statewide overdose rates in Rhode Island (RI). METHODS: We used statewide data from RI from 2016 to 2020 to develop an ensemble machine learning model predicting neighborhood-level fatal overdose risk. Our ensemble model integrated gradient boosting machine and super learner base models in a moving window framework to make predictions in 6-month intervals. Our performance target, developed a priori with the RI Department of Health, was to identify the 20% of RI neighborhoods containing at least 40% of statewide overdose deaths, including at least one neighborhood per municipality. The model was validated after trial launch. RESULTS: Our model selected priority neighborhoods capturing 40.2% of statewide overdose deaths during the test periods and 44.1% of statewide overdose deaths during validation periods. Our ensemble outperformed the base models during the test periods and performed comparably to the best-performing base model during the validation periods. CONCLUSIONS: We demonstrated the capacity for machine learning models to predict neighborhood-level fatal overdose risk to a degree of accuracy suitable for practitioners. Jurisdictions may consider predictive modeling as a tool to guide allocation of scarce resources.

Public Health Dashboards in Overdose Prevention: The Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action.

As the field of public health rises to the demands of real-time surveillance and rapid data-sharing needs in a postpandemic world, it is time to examine our approaches to the dissemination and accessibility of such data. Distinct challenges exist when working to develop a shared public health language and narratives based on data. It requires that we assess our understanding of public health data literacy, revisit our approach to communication and engagement, and continuously evaluate our impact and relevance. Key stakeholders and cocreators are critical to this process and include people with lived experience, community organizations, governmental partners, and research institutions. In this viewpoint paper, we offer an instructive approach to the tools we used, assessed, and adapted across 3 unique overdose data dashboard projects in Rhode Island, United States. We are calling this model the "Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action." This approach reflects the iterative lessons learned about the improvement of data dashboards through collaboration and strong partnerships across community members, state agencies, and an academic research team. We will highlight key tools and approaches that are accessible and engaging and allow developers and stakeholders to self-assess their goals for their data dashboards and evaluate engagement with these tools by their desired audiences and users.

"I Don't Go Overboard": Perceptions of Overdose Risk and Risk Reduction Strategies among People Who Use Drugs in Rhode Island.

Background: North America experiencing an unprecedented overdose epidemic, with data estimating almost 110,000 overdose deaths occurring in 2022 in the United States (US). To address fatal overdoses in the US, community organizations and local health departments in some jurisdictions have expanded community distribution of naloxone, and increased overdose prevention education, and other harm reduction supplies and services (e.g., fentanyl test strips, drug checking programs) to reduce harm for people who use drugs (PWUD). Objectives: Understanding how PWUD manage overdose risk within the context of these expanded services is important for ensuring public health services are meeting their needs. Semi-structured qualitative interviews were conducted with 25 PWUD who were accessing harm reduction services in Rhode Island. Data were imported into NVivo where they were coded and analyzed thematically. Results: Our findings demonstrate the complexity of managing overdose risk in the context of a fentanyl drug supply. While most participants were concerned about overdosing, they sought to manage overdose risk through their own harm reduction practices (e.g., testing their drugs, going slow) and drug purchasing dynamics, even when using alone. Conclusions: Study findings point to the need to implement and scale-up community-level interventions to better support PWUD within the context of the current US overdose crisis.

Differences in Substance Use and Harm Reduction Practices by Race and Ethnicity: Rhode Island Harm Reduction Surveillance System, 2021-2022.

CONTEXT: In the United States, minority populations are disproportionately affected by the overdose epidemic, have higher mortality rates, and unequal access to harm reduction and treatment services. OBJECTIVE: This analysis aims to better understand harm reduction utilization and substance use patterns among minority populations to improve overdose outreach and prevention initiatives in Rhode Island. DESIGN: The present analysis used data from the Harm Reduction Surveillance System from January 2021 to December 2022 (N = 393). Chi-square tests and multivariable regression models were used to investigate differences in substance use behaviors by race and ethnicity. SETTING: Rhode Island. PARTICIPANTS: Participants include individuals who self-reported the use of illicit drugs, currently reside in Rhode Island, and were older than 18 years. MAIN OUTCOME MEASURES: Methods of drug use and uptake of harm reduction practices. RESULTS: Among survey participants, 41% were non-Hispanic White, 57% were aged 25 to 44 years, 62% identified as male, and 95% had health insurance coverage. Most participants reported smoking as their method of drug use (90%) and harm reduction practices were underutilized by all race and ethnicity groups. Fewer non-Hispanic Black participants reported carrying naloxone compared to the other race and ethnicity groups. Non-Hispanic Black and Hispanic participants were significantly less likely to inject drugs compared with non-Hispanic White participants (adjusted odds ratio [AOR] = 0.14; 95% confidence interval [CI], 0.04-0.45) (AOR = 0.40; 95% CI, 0.18-0.90). CONCLUSIONS: Smoking was the most common self-reported method of substance administration for all participants, whereas injection was more prevalent among non-Hispanic White participants. There is a continued need for minority-led and culturally informed harm reduction and treatment services for minority populations.

Translating Predictive Analytics for Public Health Practice: A Case Study of Overdose Prevention in Rhode Island.

Prior applications of machine learning to population health have relied on conventional model assessment criteria, limiting the utility of models as decision support tools for public health practitioners. To facilitate practitioners' use of machine learning as a decision support tool for area-level intervention, we developed and applied 4 practice-based predictive model evaluation criteria (implementation capacity, preventive potential, health equity, and jurisdictional practicalities). We used a case study of overdose prevention in Rhode Island to illustrate how these criteria could inform public health practice and health equity promotion. We used Rhode Island overdose mortality records from January 2016-June 2020 (n = 1,408) and neighborhood-level US Census data. We employed 2 disparate machine learning models, Gaussian process and random forest, to illustrate the comparative utility of our criteria to guide interventions. Our models predicted 7.5%-36.4% of overdose deaths during the test period, illustrating the preventive potential of overdose interventions assuming 5%-20% statewide implementation capacities for neighborhood-level resource deployment. We describe the health equity implications of use of predictive modeling to guide interventions along the lines of urbanicity, racial/ethnic composition, and poverty. We then discuss considerations to complement predictive model evaluation criteria and inform the prevention and mitigation of spatially dynamic public health problems across the breadth of practice. This article is part of a Special Collection on Mental Health.

Benzodiazepine Dose Intensity among Patients Concurrently Prescribed Buprenorphine in Rhode Island.

Background: The concomitant use of buprenorphine and benzodiazepines has been linked to patient fatalities, with greater risk occurring with higher doses of benzodiazepines. We assessed benzodiazepine dose intensity among patients who were concurrently prescribed buprenorphine, as compared with patients prescribed benzodiazepines who were not receiving buprenorphine. Methods: We conducted a cross-sectional analysis of adult patients who received at least a 30-day supply of benzodiazepines during 2018, using data from the Rhode Island (RI) Prescription Drug Monitoring Program. Mean daily diazepam milligram equivalents (DME) were calculated overall and according to patient sex, age group, payment type, and RI county. Multivariable logistic regression analyses were conducted to assess the odds of higher-dose benzodiazepine utilization among patients with concurrent use of buprenorphine, as compared with patients not prescribed buprenorphine, adjusting for patient demographics. Results: Compared to patients prescribed benzodiazepines who were not receiving buprenorphine, those with concurrent buprenorphine utilization had a significantly higher mean DME/day (19.22, 95% CI: 18.70-19.74; vs 10.94, 95% CI: 10.93-10.95; p < 0.001). Patients who were prescribed benzodiazepines with concurrent utilization of buprenorphine also had a comparatively higher odds of a DME/day ≥15 (aOR: 2.86, 95% CI: 2.63-3.10), ≥20 DME/day (aOR: 2.98, 95% CI: 2.75-3.24), and ≥25 DME/day (aOR: 2.99, 95% CI: 2.65-3.18). Conclusion: Compared to patients prescribed benzodiazepines for at least 30 days who were not receiving buprenorphine, patients concurrently utilizing benzodiazepines and buprenorphine had more than twice the odds of higher dose benzodiazepine utilization. Future studies are needed to assess the relationship between benzodiazepine dose intensity, overdose outcomes, and treatment retention among patients receiving buprenorphine.

Receipt of Prescription Psychostimulants and Stimulant-Involved Fatal Overdose: A Population-Based Case-Control Study.

Background: Rates of psychostimulant use, misuse, and hospitalization have increased markedly over the past decade. The objective of this study was to estimate the association between receipt of a psychostimulant prescription in the past year and fatal, unintentional psychostimulant-involved overdose. Methods: We conducted a population-based case-control study using linked, state-level databases from the Rhode Island Department of Health. Cases were defined as Rhode Island residents who experienced a fatal, unintentional drug overdose involving a psychostimulant, and controls included non-psychostimulant involved fatal overdoses occurring between May 1, 2017 and May 31, 2020 The primary exposure of interest was receipt of a psychostimulant prescription within 12 months prior to death, ascertained through linkage to the state's prescription drug monitoring program. Conditional logistic regression was used to estimate unadjusted and adjusted odds ratios. Results: Of 894 eligible overdose fatalities, the majority were white/non-Hispanic (72%), mean age was 43 years, and most resided in Providence County (69%). A total of 39 (4%) involved a psychostimulant. After adjusting for year of death and matching by sex, age, and county of residence, cases had 4.1 (95% confidence interval: 1.6, 10.6) times the odds of receiving a prescription stimulant in the past year compared to controls. Conclusions: Our findings suggest that there is a strong, positive association between prescription psychostimulant receipt and psychostimulant-involved fatal overdose. In response to an evolving polysubstance use landscape, current harm reductions measures, including naloxone training, fentanyl test strip distribution, and overdose education, should be expanded to include patients who receive psychostimulant prescriptions.

Identifying Predictors of Opioid Overdose Death at a Neighborhood Level With Machine Learning.

Predictors of opioid overdose death in neighborhoods are important to identify, both to understand characteristics of high-risk areas and to prioritize limited prevention and intervention resources. Machine learning methods could serve as a valuable tool for identifying neighborhood-level predictors. We examined statewide data on opioid overdose death from Rhode Island (log-transformed rates for 2016-2019) and 203 covariates from the American Community Survey for 742 US Census block groups. The analysis included a least absolute shrinkage and selection operator (LASSO) algorithm followed by variable importance rankings from a random forest algorithm. We employed double cross-validation, with 10 folds in the inner loop to train the model and 4 outer folds to assess predictive performance. The ranked variables included a range of dimensions of socioeconomic status, including education, income and wealth, residential stability, race/ethnicity, social isolation, and occupational status. The R2 value of the model on testing data was 0.17. While many predictors of overdose death were in established domains (education, income, occupation), we also identified novel domains (residential stability, racial/ethnic distribution, and social isolation). Predictive modeling with machine learning can identify new neighborhood-level predictors of overdose in the continually evolving opioid epidemic and anticipate the neighborhoods at high risk of overdose mortality.

Controlled Substance Prescription History among Individuals Who Died of an Accidental Opioid-Involved Drug Overdose in Rhode Island.

Background: Accidental opioid-involved overdose deaths are increasing nationally in the wake of the COVID-19 pandemic, but it is unclear if this reflects a change in populations most at risk. Objective: To determine whether the demographic characteristics and controlled substance prescription history of accidental opioid-involved drug overdose decedents in 2020 differed from prior years. Methods: We identified accidental opioid-involved overdose decedents using Rhode Island (RI) State Medical Examiner's Office data. Decedents were linked to the RI Prescription Drug Monitoring Program database. We compared demographic characteristics and prescription history by year of death. Results: From 2018 to 2020, 763 RI residents died from accidental opioid-involved overdose in RI. From 2018 to 2019, deaths decreased by 7%, but then increased by 31% from 2019 to 2020. Demographic characteristics were similar by year of death (all p > 0.05). The percentage of decedents with a prior opioid prescription and a prior benzodiazepine prescription declined from 2018 to 2020 (p < 0.01 and p = 0.03). Conclusions: We found that opioid-involved overdose deaths in RI are increasing overall, but without significant changes in demographics. While prior exposure to some controlled substances did decline over time, it is not clear if these changes reflect more responsible prescribing practices, or a more concerning pattern such as patient abandonment or decreased healthcare access. More studies are needed to better describe the current trend of increasing opioid-involved deaths while also pursuing current evidence-based interventions.

Transmission Dynamics in Tuberculosis Patients With Human Immunodeficiency Virus: A Systematic Review and Meta-analysis of 32 Observational Studies.

BACKGROUND: There are large knowledge gaps on the transmission dynamics of Mycobacterium tuberculosis in settings where both tuberculosis and human immunodeficiency virus (HIV) are endemic. We aimed to assess the infectiousness of tuberculosis patients coinfected with HIV. METHODS: We systematically searched for studies of contacts of both HIV-positive and HIV-negative tuberculosis index cases. Our primary outcome was Mycobacterium tuberculosis infection in contacts. Data on sputum smear and lung cavitation status of index cases were extracted from each study to assess effect modification. Secondary outcomes included prevalent tuberculosis and HIV in contacts of HIV-positive and HIV-negative index cases. RESULTS: Of 5255 original citations identified, 32 studies met inclusion criteria, including 25 studies investigating M. tuberculosis infection (Nparticipants = 36 893), 13 on tuberculosis (Nparticipants = 18 853), and 12 on HIV positivity (Nparticipants = 18 424). Risk of M. tuberculosis infection was lower in contacts of HIV-positive index cases (odds ratio [OR], 0.67, 95% confidence interval [CI], .58-.77) but was heterogeneous (I2 = 75.1%). Two factors modified this relationship: the lung cavitary status of the index case and immunosuppression (measured through CD4 counts or HIV or acquired immunodeficiency syndrome diagnoses) among index people living with HIV. Rates of HIV were consistently higher in contacts of coinfected index cases (OR, 4.9; 95% CI, 3.0-8.0). This was modified by whether the study was in sub-Saharan Africa (OR, 2.8; 95% CI, 1.6-4.9) or in another global region (OR, 9.8; 95% CI, 5.9-16.3). CONCLUSIONS: Tuberculosis patients coinfected with HIV are less infectious than HIV-uninfected cases when they have severe immunosuppression or paucibacillary disease. Contacts of coinfected index cases are almost 5 times more likely to also have HIV.

Impact of Rotavirus Vaccine Introduction on Rotavirus Hospitalizations Among Children Under 5 Years of Age-World Health Organization African Region, 2008-2018.

BACKGROUND: Rotavirus is the leading cause of acute gastroenteritis (AGE) among children worldwide. Prior to rotavirus vaccine introduction, over one third of AGE hospitalizations in Africa were due to rotavirus. We describe the impact of rotavirus vaccines using data from the African Rotavirus Surveillance Network (ARSN). METHODS: For descriptive analysis, we included all sites reporting to ARSN for any length of time between 2008 and 2018. For vaccine impact analysis, continuous surveillance throughout the year was required to minimize potential bias due to enrollment of partial seasons and sites had to report a minimum of 100 AGE cases per year. We report the proportion of rotavirus AGE cases by year relative to vaccine introduction, and the relative reduction in the proportion of rotavirus AGE cases reported following vaccine introduction. RESULTS: From 2008 to 2018, 97 366 prospectively enrolled hospitalized children <5 years of age met the case definition for AGE, and 34.1% tested positive for rotavirus. Among countries that had introduced rotavirus vaccine, the proportion of hospitalized AGE cases positive for rotavirus declined from 39.2% in the prevaccine period to 25.3% in the postvaccine period, a 35.5% (95% confidence interval [CI]: 33.7-37.3) decline. No declines were observed among countries that had not introduced the vaccine over the 11-year period. CONCLUSIONS: Rotavirus vaccine introduction led to large and consistent declines in the proportion of hospitalized AGE cases that are positive for rotavirus. To maximize the public health benefit of these vaccines, efforts to introduce rotavirus vaccines in the remaining countries in the region and to improve coverage should continue.

History of Methadone and Buprenorphine Opioid Agonist Therapy Among People Who Died of an Accidental Opioid-Involved Overdose: Rhode Island, January 1, 2018-June 30, 2020.

To guide intervention efforts, we identified the proportion of individuals previously engaged in opioid agonist therapy among people who died of an accidental opioid-involved overdose. Most individuals (60.9%) had never received any prior buprenorphine or methadone treatment. Individuals who died of an overdose in 2020 had a similar demographic profile and treatment history compared with prior years. To prevent additional accidental opioid-involved overdose deaths, efforts should be directed toward linking individuals to care.

Severe Acute Respiratory Syndrome Coronavirus 2 Prevalence, Seroprevalence, and Exposure among Evacuees from Wuhan, China, 2020.

To determine prevalence of, seroprevalence of, and potential exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among a cohort of evacuees returning to the United States from Wuhan, China, in January 2020, we conducted a cross-sectional study of quarantined evacuees from 1 repatriation flight. Overall, 193 of 195 evacuees completed exposure surveys and submitted upper respiratory or serum specimens or both at arrival in the United States. Nearly all evacuees had taken preventive measures to limit potential exposure while in Wuhan, and none had detectable SARS-CoV-2 in upper respiratory tract specimens, suggesting the absence of asymptomatic respiratory shedding among this group at the time of testing. Evidence of antibodies to SARS-CoV-2 was detected in 1 evacuee, who reported experiencing no symptoms or high-risk exposures in the previous 2 months. These findings demonstrated that this group of evacuees posed a low risk of introducing SARS-CoV-2 to the United States.

Update: Characteristics of a Nationwide Outbreak of E-cigarette, or Vaping, Product Use-Associated Lung Injury - United States, August 2019-January 2020.

Since August 2019, CDC, the Food and Drug Administration (FDA), state and local health departments, and public health and clinical stakeholders have been investigating a nationwide outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) (1). This report updates patient demographic characteristics, self-reported substance use, and hospitalization dates for EVALI patients reported to CDC by states, as well as the distribution of emergency department (ED) visits related to e-cigarette, or vaping, products analyzed through the National Syndromic Surveillance Program (NSSP). As of January 14, 2020, a total of 2,668 hospitalized EVALI cases had been reported to CDC. Median patient age was 24 years, and 66% were male. Overall, 82% of EVALI patients reported using any tetrahydrocannabinol (THC)-containing e-cigarette, or vaping, product (including 33% with exclusive THC-containing product use), and 57% of EVALI patients reported using any nicotine-containing product (including 14% with exclusive nicotine-containing product use). Syndromic surveillance indicates that ED visits related to e-cigarette, or vaping, products continue to decline after sharply increasing in August 2019 and peaking in September 2019. Clinicians and public health practitioners should remain vigilant for new EVALI cases. CDC recommends that persons not use THC-containing e-cigarette, or vaping, products, especially those acquired from informal sources such as friends, family members, or from in-person or online dealers. Vitamin E acetate is strongly linked to the EVALI outbreak and should not be added to any e-cigarette, or vaping, products (2). However, evidence is not sufficient to rule out the contribution of other chemicals of concern, including chemicals in either THC- or non-THC-containing products, in some reported EVALI cases.

Is India's public health care system prepared for cervical cancer screening?: Evaluating facility readiness from the fourth round of the District Level Household and Facility Survey (DLHS-4).

India's cervical cancer screening program was launched in 2016. We evaluated baseline facility readiness using nationally representative data from the 2012-13 District Level Household and Facility Survey on 4 tiers of the public health care system - 18,367 sub-health centres (SHCs), 8540 primary health centres (PHCs), 4810 community health centres and 1540 district/sub-divisional hospitals. To evaluate facility readiness we used the Improving Data for Decision Making in Global Cervical Cancer Programmes toolkit on six domains - potential staffing, infrastructure, equipment and supplies, infection prevention, medicines and laboratory testing, and data management. Composite scores were created by summing responses within domains, standardizing scores across domains at each facility level, and averaging across districts/states. Overall, readiness scores were low for cervical cancer screening. At SHCs, the lowest scores were observed in 'infrastructure' (0.55) and 'infection prevention' (0.44), while PHCs had low 'potential staffing' scores (0.50) due to limited manpower to diagnose and treat (cryotherapy) potential cases. Scores were higher for tiers conducting diagnostic work-up and treatment/referral. The highest scores were in 'potential staffing' except for PHCs, while the lowest scores were in 'infection & prevention' and 'medicines and laboratory'. Goa and Maharashtra were consistently among the top 5 ranking states for readiness. Substantial heterogeneity in facility readiness for cervical cancer screening spans states and tiers of India's public healthcare system. Infrastructure and staffing are large barriers to screening at PHCs, which are crucial for referral of high-risk patients. Our results suggest focus areas in cervical cancer screening at the district level for policy makers.

Trends in liver cancer mortality in the United States: Dual burden among foreign- and US-born persons.

BACKGROUND: Since the mid-1980s, the burden of liver cancer in the United States has doubled, with 31,411 new cases and 24,698 deaths occurring in 2014. Foreign-born individuals may be more likely to die of liver cancer than individuals in the general US-born population because of higher rates of hepatitis B infection, a low socioeconomic position, and language barriers that limit the receipt of early cancer detection and effective treatment. METHODS: To determine whether liver cancer mortality rates were higher among foreign-born individuals versus US-born individuals in the United States, population-based cancer mortality data were obtained from the National Center for Health Statistics of the Centers for Disease Control and Prevention. Annual population estimates were obtained from the US Census Bureau's American Community Survey. Age-adjusted mortality rates and rate ratios (RRs) for liver cancer stratified by birth place were calculated, and the average annual percent change (AAPC) was used to evaluate trends. RESULTS: A total of 198,557 deaths from liver and intrahepatic bile duct cancer were recorded during 2005-2014, and 16% occurred among foreign-born individuals. Overall, foreign-born individuals had a 24% higher risk of liver cancer mortality than US-born individuals (RR, 1.24; 95% confidence interval [CI], 1.22-1.25). Foreign-born individuals did not have any significant changes in liver cancer mortality rates overall, but among US-born individuals, liver cancer mortality rates significantly increased (AAPC, 2.7; 95% CI, 2.1-3.3). CONCLUSIONS: Efforts that address the major risk factors for liver cancer are needed to help to alleviate the health disparities observed among foreign-born individuals and reverse the increasing trend observed in the US-born population.

Trends in the Laboratory Detection of Rotavirus Before and After Implementation of Routine Rotavirus Vaccination - United States, 2000-2018.

Before the introduction of rotavirus vaccine in the United States in 2006, rotavirus infection was the leading cause of severe gastroenteritis among U.S. children (1). To evaluate the long-term impact of rotavirus vaccination on disease prevalence and seasonality in the United States, CDC analyzed national laboratory testing data for rotavirus from laboratories participating in CDC's National Respiratory and Enteric Viruses Surveillance System (NREVSS) during the prevaccine (2000-2006) and postvaccine (2007-2018) periods. Nationally, the median annual percentage of tests positive for rotavirus declined from 25.6% (range = 25.2-29.4) in the prevaccine period to 6.1% (range = 2.6-11.1) in the postvaccine period. When compared with the prevaccine period, the postvaccine period saw declines in the annual peak in rotavirus positivity from a median of 43.1% (range = 43.8-56.3) to a median of 14.0% (range = 4.8-27.3) and in the season duration from a median of 26 weeks (range = 23-27) to a median of 9 weeks (range = 0-18). In the postvaccine period, a biennial pattern emerged, with alternating years of low and high rotavirus activity. Implementation of the rotavirus vaccination program has substantially reduced prevalence of the disease and altered seasonal patterns of rotavirus in the United States; these changes have been sustained over 11 seasons after vaccine introduction. Ongoing efforts to improve coverage and on-time vaccination (2) can help maximize the public health impact of rotavirus vaccination.

Establishing Baseline Cervical Cancer Screening Coverage - India, 2015-2016.

Cervical cancer is the second leading cause of new cancer cases and cancer-related deaths among women in India, with an estimated 96,922 new cases and 60,078 deaths each year.* Despite the availability of effective low-cost screening options in India, limited access to screening and treatment services, diagnosis at a later stage, and low investment in health care infrastructure all contribute to the high number of deaths (1). In 2016 the Ministry of Health and Family Welfare of India recommended cervical cancer screening using visual inspection with acetic acid every 5 years for women aged 30-65 years (per World Health Organization [WHO] guidelines) (2,3). To establish a baseline for cervical cancer screening coverage, survey data were analyzed to estimate the percentage of women aged 30-49 years who had ever been screened for cervical cancer (defined as ever having had a cervix examination). Cervical cancer screening was estimated using data from the Fourth National Family Health Survey† (NFHS-4), a nationally representative survey conducted at the district level during 2015-2016, which included 699,686 Indian women aged 15-49 years. Lifetime cervical cancer screening prevalence was low (29.8%) and varied by geographic region, ranging from 10.0% in the Northeast Region to 45.2% in the Western Region. Prevalence of screening was higher among women with higher levels of education and household wealth, those who had ever been married, and urban residents. This screening prevalence can be used as a baseline indicator for cervical cancer screening in India in accordance with the WHO Noncommunicable Diseases Global Monitoring Framework during state-based programmatic rollout and program evaluation (4).

Cancer mortality rates among US and foreign-born individuals: United States 2005-2014.

From 1970 to 2010 the foreign-born population in the United States has rapidly increased from 9.6 to 40.0 million individuals. Historically, differences in cancer rates have been observed between US-born and foreign-born individuals. However, comprehensive and up-to-date data on US cancer rates by birth place is lacking. To compare cancer mortality rates among foreign and US-born individuals, population-based cancer mortality data were obtained from the CDC's National Center for Health Statistics. Utilizing data recorded on death certificates, individuals were categorized as US-born or foreign-born. Annual population estimates were obtained from the American Community Survey. Age-adjusted mortality rates and rate ratios (RRs) for all cancer sites were calculated using SEER*Stat. A total of 5,670,535 deaths from malignant cancers were recorded in the US from 2005 to 2014 and 9% of deaths occurred among foreign-born individuals. Overall, foreign-born individuals had a 31% lower cancer mortality rate when compared to US-born individuals (Rate Ratio (RR): 0.69 (95% CI: 0.68-0.69)), and similar results were observed when stratifying by sex, race/ethnicity, age, and geographic region. However, foreign-born individuals did have significantly elevated cancer mortality rates for seven cancers sites, of which five were infection-related, including: nasopharynx (RR: 2.01), Kaposi Sarcoma (RR: 1.94), stomach (RR: 1.82), gallbladder (RR: 1.47), acute lymphocytic leukemia (RR: 1.27), liver and intrahepatic bile duct (RR: 1.24), and thyroid (RR: 1.22) cancers. Many of these deaths could be avoided through improved access to prevention, screening, and treatment services for immigrant populations in the US or in their country of origin.

Gastric cancer mortality rates among US and foreign-born persons: United States 2005-2014.

BACKGROUND: Historically, foreign-born individuals in the US have had an elevated risk of dying from gastric cancer when compared to US-born individuals. This is primarily due to factors that occur prior to their immigration to the US, including diet and underlying risk of H. pylori infection. METHODS: National mortality data from 2005 to 2014 were obtained from the CDC's National Center for Health Statistics. Annual population estimates were obtained from the US Census Bureau's American Community Survey for foreign-born and US-born persons. Age-adjusted gastric cancer mortality rates and rate ratios (RR) were calculated stratified by birth place, age, race/ethnicity, and geographic location. RESULTS: From 2005 to 2014, 111,718 deaths from malignant gastric cancer occurred in the US, of which 24,583 (22%) occurred among foreign-born individuals. Overall, foreign-born individuals had higher mortality rates compared with US-born individuals (RR 1.82; 95% CI 1.80, 1.85) and this difference remained after stratifying by sex, age, and geographic location. However, this finding was primarily driven by the low rate of gastric cancer mortality among US-born whites, with similar mortality rates observed among all other foreign-born and US-born groups. Gastric cancer mortality rates significantly decreased during the study period overall (AAPC - 2.50; 95% CI - 3.21, - 1.79) with significant declines observed among US-born (AAPC - 2.81; 95% CI - 3.55, - 2.07) and the foreign-born (AAPC - 2.53; 95% CI - 3.20, - 1.86) population. CONCLUSIONS: Efforts directed at reducing the prevalence of gastric cancer risk factors could help reduce the elevated burden observed among foreign-born individuals and US-born minority groups.