OBJECTIVES: Youth suicide is an urgent public health problem. Gatekeeper training aims to prevent suicide by training people to identify warning signs and make referrals to appropriate services. Many states in the United States have enacted gatekeeper training laws (GTLs) to train school staff in suicide prevention. The objectives of this study were to describe the development of a dataset on GTLs and use the dataset to summarize trends in uptake of GTLs from 2002 through 2022 as well as differences in characteristics (eg, frequency and duration of training) of GTLs. METHODS: We used publicly available legal databases from all 50 states and the District of Columbia to conduct a policy surveillance assessment of GTLs. We cross-checked data with the American Foundation for Suicide Prevention's 2022 Suicide Prevention in Schools (K-12) issue brief and used Westlaw Edge to conduct a sensitivity analysis. We included the following data in the full dataset: type of laws (encouraged, mandatory, or conditional mandatory), date passed, effective date, frequency of training, and length of training. RESULTS: In 2022, 49 states and the District of Columbia had GTLs, 31 of which were mandatory laws. In 2002, only 6 states had such laws, and none were mandatory. CONCLUSION: The growing proliferation of laws on suicide prevention training for school staff warrants evaluation of the laws' effectiveness. Our policy surveillance data may be used to better understand the role of these laws in a school-based approach to youth suicide prevention.

CONTEXT: Public health policy can play an important role in improving public health outcomes. Accordingly, there has been an increasing emphasis by policy makers on identifying and implementing evidence-informed public health policy interventions. PROGRAM OR POLICY: Growth and refinement of the field of research assessing the impact of legal interventions on health outcomes, known as legal epidemiology, prompted this review of studies on the relationship between laws and health or economic outcomes. IMPLEMENTATION: Authors systematically searched 8 major literature databases for all English language journal articles that assessed the effect of a law on health and economic outcomes published between January 1, 2009, and September 18, 2019. This search generated 12 570 unique articles 177 of which met inclusion criteria. The team conducting the systematic review was a multidisciplinary team that included health economists and public health policy researchers, as well as public health lawyers with expertise in legal epidemiological research methods. The authors identified and assessed the types of methods used to measure the laws' health impact. EVALUATION: In this review, the authors examine how legal epidemiological research methods have been described in the literature as well as trends among the studies. Overall, 3 major themes emerged from this study: (1) limited variability in the sources of the health data across the studies, (2) limited differences in the methodological approaches used to connect law to health outcomes, and (3) lack of transparency surrounding the source and quality of the legal data relied upon. DISCUSSION: Through highlighting public health law research methodologies, this systematic review may inform researchers, practitioners, and lawmakers on how to better examine and understand the impacts of legal interventions on health and economic outcomes. Findings may serve as a source of suggested practices in conducting legal epidemiological outcomes research and identifying conceptual and method-related gaps in the literature.

Consumption of unpasteurised milk in the United States has presented a public health challenge for decades because of the increased risk of pathogen transmission causing illness outbreaks. We analysed Foodborne Disease Outbreak Surveillance System data to characterise unpasteurised milk outbreaks. Using Poisson and negative binomial regression, we compared the number of outbreaks and outbreak-associated illnesses between jurisdictions grouped by legal status of unpasteurised milk sale based on a May 2019 survey of state laws. During 2013-2018, 75 outbreaks with 675 illnesses occurred that were linked to unpasteurised milk; of these, 325 illnesses (48%) were among people aged 0-19 years. Of 74 single-state outbreaks, 58 (78%) occurred in states where the sale of unpasteurised milk was expressly allowed. Compared with jurisdictions where retail sales were prohibited (n = 24), those where sales were expressly allowed (n = 27) were estimated to have 3.2 (95% CI 1.4-7.6) times greater number of outbreaks; of these, jurisdictions where sale was allowed in retail stores (n = 14) had 3.6 (95% CI 1.3-9.6) times greater number of outbreaks compared with those where sale was allowed on-farm only (n = 13). This study supports findings of previously published reports indicating that state laws resulting in increased availability of unpasteurised milk are associated with more outbreak-associated illnesses and outbreaks.

IMPORTANCE: Congenital cytomegalovirus (CMV) infection is the leading infectious cause of birth defects in the United States, affecting approximately 1 out of 200 newborns. Increasing awareness of congenital CMV infection among policy makers and the public is critical for advancing the evidence base for prevention and intervention strategies, including behavioral interventions for pregnant women, newborn screening to enable timely interventions, and garnering support for vaccine development. OBJECTIVE: To understand the current landscape of CMV-related statutes and regulations, we conducted a 50-state legal epidemiology study of laws expressly referencing "cytomegalovirus." EVIDENCE REVIEW: Our search yielded 101 statutes and regulations from 35 jurisdictions (34 states and District of Columbia). We systematically reviewed and coded the texts for themes. FINDINGS: Laws addressed 3 main themes: (1) CMV awareness and education; (2) testing and reporting; and (3) the provision of services. CONCLUSIONS AND RELEVANCE: State-level CMV laws have been enacted to increase CMV awareness and to implement CMV testing for infants at a higher risk for infection, such as those who do not pass newborn hearing screening. This study provides a complete legal assessment of existing ways law is used to address CMV infection in the United States.

BACKGROUND AND OBJECTIVE: Community mitigation strategies could help reduce COVID-19 incidence. In a national county-level analysis, we examined the probability of being identified as a county with rapidly increasing COVID-19 incidence (rapid riser identification) during the summer of 2020 by implementation of mitigation policies prior to the summer, overall and by urbanicity. METHODS: We analyzed county-level data on rapid riser identification during June 1-September 30, 2020 and statewide closures and statewide mask mandates starting March 19 (obtained from state government websites). Poisson regression models with robust standard error estimation were used to examine differences in the probability of rapid riser identification by implementation of mitigation policies (P-value<.05); associations were adjusted for county population size. RESULTS: Counties in states that closed for 0-59 days were more likely to become a rapid riser county than those that closed for >59 days, particularly in nonmetropolitan areas. The probability of becoming a rapid riser county was 43% lower among counties that had statewide mask mandates at reopening (adjusted prevalence ratio [aPR] = 0.57; 95% confidence intervals [CI] = 0.51-0.63); when stratified by urbanicity, associations were more pronounced in nonmetropolitan areas. CONCLUSIONS: These results underscore the potential value of community mitigation strategies in limiting the COVID-19 spread, especially in nonmetropolitan areas.

INTRODUCTION: Opioid use disorder (OUD) affects 2 million Americans, yet many patients do not receive treatment. Lack of team-based care is a common barrier for office-based opioid treatment (OBOT). In 2015, we started OBOT in a family medicine practice. Based on our experiences, we developed a financial model for hiring a team member to provide nonbillable OBOT services through revenue from increased patient volume. METHODS: We completed a retrospective chart review from July 2015 to December 2016 to determine the average difference in medical visits per patient per month pre-OBOT versus post-OBOT. Secondary outcomes were the percentage of visits coded as a Level 3, Level 4, and Level 5, and the percentage of patients with Medicaid, private insurance, or self pay. With this information, we extrapolated to build a financial model to hire a team member to support OBOT. RESULTS: Twenty-three patients received OBOT during the study period. There was a net increase of 1.93 visits per patient per month (P < .001). Fourteen patients were insured by Medicaid, 7 had private insurance, and 2 were self pay. Twenty-three percent of OBOT visits were Level 3, 69% were Level 4, and 8% were Level 5. Assuming all visits were reimbursed by Medicaid and accounting for 20% cost of business, treating 1 existing patient for 1 year would generate $1,439. Treating 1 new patient would generate $1,677. CONCLUSIONS: In a fee-for-service model, the revenue generated from increased medical visits can offset the cost of hiring a team member to support nonbillable OBOT services.

Opioid-involved drug overdose deaths have been a growing concern in the United States for several decades. The Centers for Disease Control and Prevention identified several strategies to address the opioid overdose epidemic, including increased availability of and access to medication-assisted treatment and guidance on safer opioid prescribing practices. Telehealth offers the potential for increasing access and availability to these strategies, and laws governing telehealth have implications for their utilization. To understand how state telehealth laws intersect with the opioid overdose epidemic, we conducted a legal mapping study, a type of legal epidemiological assessment, of statutes and regulations that intersect at telehealth and opioids. This search yielded 28 laws from 17 states. These laws intersect both telehealth and the opioid overdose epidemic in different ways including prescribing limitations, opioid treatment through medication and counseling, patient plan review, and professional collaboration. Continued legal and policy surveillance is needed to be able to evaluate the impact of law in addressing opioid overdose outcomes.

Broadband internet access is a super-determinant of health that plays an important role in healthcare and public health outcomes. Laws and policies shape implementation and use of broadband for healthcare and public health. Connecting broadband and telehealth laws with their health impacts, through legal epidemiological research, enables states to make evidence-based decisions to improve health outcomes for underserved populations.

Federal, state, and local laws shape the use of health information for public health purposes, such as the mandated collection of data through electronic disease reporting systems. Health professionals can leverage these data to better anticipate and plan for the needs of communities, which is seen in the use of electronic case reporting.

Interoperability, or the easy, secure exchange of electronic health information (EHI), is now vital to health care and public health functions, including disease and laboratory reporting.1 Conversely, “information blocking,” or activities that interfere with collecting, using, and exchanging EHI, can seriously harm public health.2 The 21st Century Cures Act (the Act), signed into law on December 13, 2016, establishes a legal framework to: address the use and exchange of health data through health information technology (HIT), strengthen interoperability, and prevent information blocking, among other health-related initiatives.3,4 Before the Act, information blocking was not defined or well understood and could not be effectively prevented, leaving interoperability unprotected. The Act defined these concepts and incorporated them into Title IV of the Public Health Service Act (PHSA) under “Delivery.” This article describes the issues involved in information blocking, including the federal actions taken to identify the problem, prohibit it, and impose civil penalties for engaging in it, as well as the implications for interoperability.

OBJECTIVES: In 2011, the American Academy of Pediatrics updated its guidelines for the diagnosis and treatment of children with attention-deficit/hyperactivity disorder (ADHD) to recommend that clinicians refer parents of preschoolers (aged 4-5) for training in behavior therapy and subsequently treat with medication if behavior therapy fails to sufficiently improve functioning. Data available from just before the release of the guidelines suggest that fewer than half of preschoolers with ADHD received behavior therapy and about half received medication. About half of those who received medication also received behavior therapy. Prior authorization policies for ADHD medication may guide physicians toward recommended behavior therapy. Characterizing existing prior authorization policies is an important step toward evaluating the impact of these policies on treatment patterns. We inventoried existing prior authorization policies and characterized policy components to inform future evaluation efforts. METHODS: A 50-state legal assessment characterized ADHD prior authorization policies in state Medicaid programs. We designed a database to capture data on policy characteristics and authorization criteria, including data on age restrictions and fail-first behavior therapy requirements. RESULTS: In 2015, 27 states had Medicaid policies that prevented approval of pediatric ADHD medication payment without additional provider involvement. Seven states required that prescribers indicate whether nonmedication treatments were considered before Medicaid payment for ADHD medication could be approved. CONCLUSION: Medicaid policies on ADHD medication treatment are diverse; some policies are tied to the diagnosis and treatment guidelines of the American Academy of Pediatrics. Evaluations are needed to determine if certain policy interventions guide families toward the use of behavior therapy as the first-line ADHD treatment for young children.

The importance of legal epidemiology in public health law research has undoubtedly grown over the last five years. Scholars and practitioners together have developed guidance on best practices for the field, including: placing emphasis on transdisciplinary collaborations; creating valid, reliable, and repeatable research; and publishing timely products for use in decision-making and change. Despite the energy and expertise researchers have brought to this important work, they name significant challenges in marshalling the diverse skill sets, quality controls, and funding to implement legal epidemiology activities. The Centers for Disease Control and Prevention (CDC) has worked to develop cross-cutting research and translation on issues of national priority in legal epidemiology, and has explored ways to overcome some of these challenges. As such, this article describes a case study of the use of law to characterize states' prior authorization policies regarding medication used to treat attention-deficit/hyperactivity disorder (ADHD), a central component of a broader effort to improve behavior therapy options for young children with ADHD. This article highlights the types of legal epidemiology work we have undertaken, the application of this work to an emerging public health problem, and the lessons learned in creating impactful research for the field.

BACKGROUND: Following 7-valent conjugate vaccine introduction in the United States in 2000, invasive serotype (sero19A) pneumococcal disease (IPD) emerged rapidly. Sero19A IPD incidence increased slightly during 2005-2008 (from 2.3 cases to 2.5 cases per 100,000 population), whereas sero19A penicillin resistance (defined as a minimum inhibitor concentration [MIC] ≥2 mug/mL) increased significantly (from 28.7% to 43.7%). To better understand changes, we characterized sero19A isolates recovered during 2004-2008. METHODS: We performed antimicrobial susceptibility testing on all 2767 sero19A IPD isolates identified through the Centers for Disease Control Active Bacterial Core surveillance during 2004-2008. We genotyped 1804 (96.3%) of 1874 sero19A isolates recovered during 2005-2007 and all 148 year 2008 sero19A isolates from children <5 years of age. RESULTS: Resistant clonal complex (CC) 320/271(19A) increased from 20.9% (115 of 550) to 32.9% (208 of 633; P < .001) of IPD isolates during 2005-2007, which paralleled increased sero19A penicillin resistance (from 28.7% [163 of 567 isolates] to 39.5% [261 of 661 isolates]; P < .001). Total IPD due to 320/271(19A) increased during 2005-2007 and increased from 2.1 to 3.6 cases per 100,000 population during 2005-2008 in children <5 years of age. The penicillin-susceptible/intermediate, putative vaccine-escape CC695(19A) increased from 7.5% (41 of 550) to 13.6% (85 of 633) of sero19A isolates during 2005-2007 (P = .002). CONCLUSIONS: Sero19A rates may have plateaued; however, clonal shifts are increasing resistance. Increased IPD caused by CC320/271(19A) and CC695(19A) could reflect additional selective advantages in addition to resistance.

BACKGROUND: In the 2003 severe acute respiratory syndrome outbreak, finding viral nucleic acids on hospital surfaces suggested surfaces could play a role in spread in health care environments. Surface disinfection may interrupt transmission, but few data exist on the effectiveness of health care germicides against coronaviruses on surfaces. METHODS: The efficacy of health care germicides against 2 surrogate coronaviruses, mouse hepatitis virus (MHV) and transmissible gastroenteritis virus (TGEV), was tested using the quantitative carrier method on stainless steel surfaces. Germicides were o-phenylphenol/p-tertiary amylphenol) (a phenolic), 70% ethanol, 1:100 sodium hypochlorite, ortho-phthalaldehyde (OPA), instant hand sanitizer (62% ethanol), and hand sanitizing spray (71% ethanol). RESULTS: After 1-minute contact time, for TGEV, there was a log(10) reduction factor of 3.2 for 70% ethanol, 2.0 for phenolic, 2.3 for OPA, 0.35 for 1:100 hypochlorite, 4.0 for 62% ethanol, and 3.5 for 71% ethanol. For MHV, log(10) reduction factors were 3.9 for 70% ethanol, 1.3 for phenolic, 1.7 for OPA, 0.62 for 1:100 hypochlorite, 2.7 for 62% ethanol, and 2.0 for 71% ethanol. CONCLUSION: Only ethanol reduced infectivity of the 2 coronaviruses by >3-log(10) after 1 minute. Germicides must be chosen carefully to ensure they are effective against viruses such as severe acute respiratory syndrome coronavirus.