Dissemination of Information About Climate Change by State and Local Public Health Departments: United States, 2019–2020

Objectives. To determine if and how state and local public health departments present information about climate change on their Web sites, their most public-facing platform. Methods. We collected data from every functioning state (n = 50), county (n = 2090), and city (n = 585) public health department Web site in the United States in 2019 and 2020. We analyzed data for presence and type of climate-related content and to determine whether there existed clear ways to find climate change information. We analyzed Web sites providing original content about climate change for explanatory or attributional language. Results. Fewer than half (40%) of state health department Web sites, and only 1.6% of county and 3.9% of city Web sites, provided clear ways to find climate change information, whether through provision of original content or links to external agencies’ Web sites. Among Web sites providing original content, 48% provided no explanation of climate change causes. Conclusions. National and global public health associations have identified climate change as a public health emergency, but most state and local public health departments are not delivering that message. These departments must be better supported to facilitate dissemination of reliable, scientific information about climate change and its effects on health.

Exploring Missouri's New, Innovative, and Multilayered Health Data Suppression Rules

ObjectiveBy the end of this session, users will be able to describe the innovative and multilayered suppression rules that are applied to Missouri's homegrown health data web query system. They will also be able to use the lessons learned and user feedback described in the session to facilitate discussions surrounding the application of suppression to their specific data systems.IntroductionIn Spring 2017, the Missouri Department of Health and Senior Services (MODHSS) launched the Missouri Public Health Information Management System (MOPHIMS) web-based health data platform. Missouri has supported a similar data system since the 1990s, allowing the public, local public health departments, and other stakeholders access to community level birth, death, and hospitalization data (among other datasets). The MOPHIMS system is composed of two separate pieces. Community Data Profiles are topic-, disease-, or demographic-specific reports that contain 15-10 indicators relevant to the report. Because these static reports are developed in-house a multilayered suppression rule is not required. The second piece of MOPHIMS, the Data MICAs, or Missouri Information for Community Assessent, can be used to create customized datasets that slice and dice up to a dozen demographic and system-specific variables to answer complex research questions.The MOPHIMS interface features, among other things, a new and innovative method for addressing confidentiality concerns through the suppression of health data. This pioneering approach integrates multi-level logic that uses inner and outer cell analytics, the use of exempt and conditionally exempt variables, and multiple levels of user access. Moving beyond a simple model of suppressing any values below a certain threshold, MOPHIMS takes a bold step in providing users exceptionally granular data while still protecting citizen privacy.MethodsIn order to implement this new suppression methodology, MODHSS worked with both internal information technology resources (OA-ITSD) and outside contractors to develop the suppression rules utilized in the Data MICAs. Before these meetings began, MODHSS analysts met weekly to determine the overall goals and frames for the rule, knowing that writing the code to implement the complicated and comprehensive vision would be a collaborative and iterative process. Because the MOPHIMS system is homegrown and this specific confidentiality process is not currently utilized (to our knowledge) elsewhere, all of those at the discussion table were required to be innovative, open to criticism, and willing to engage in extremely detailed explanations. A team of users from Missouri’s local public health departments provided feedback throughout this process.A basic description of the process flow that occurs before suppression is applied in MOPHIMS follows. To begin, de-identified record-level data are loaded into online analytical processing (OLAP) cubes and relational databases. No suppression is applied to these back end databases. The information is then aggregated for display on the front end screens of the Data MICAs based on customized user selections. Depending upon which level of access a user has logged in, suppression is then applied to the data output generated using these customized selections. Not only are the rules applied to data tables but also to the MOPHIMS data visualization tools, which include multiple types of charts and maps.ResultsIn addition to the rules themselves, MOPHIMS contains a mechanism that allows users to log in at different levels of access. Public and Registered user levels are free and available to all operators with a valid e-mail address. Partner level access is reserved for epidemiologists at the state and local level who are using the Data MICAs for program planning, evaluation, and grant writing. Because these individuals are required to adhere to the same data dissemination policies as those who create the MOPHIMS system, Partner level access turns off suppression in the MOPHIMS system. Values that would be suppressed at the Public or Registered user levels are shown in italicized, red font. A multi-level approval process is required for individuals to obtain Partner level access to MOPHIMS.ConclusionsMODHSS created an innovative suppression system that allows public health planners to access granular data through customizable queries without risking a confidentiality breach. Users have indicated this is highly preferable to a blanket suppression rule that hides any value under a certain threshold. Additionally, approved MOPHIMS users can view specially formatted values that would otherwise have been suppressed. The flexibility associated with creating a homegrown web query system has allowed the formation and implementation of this multilayered rule, which likely would not have been possible if using an off-the-shelf product. Data disseminators are encouraged to review current confidentiality and suppression rules to determine whether they might be modified to provide more granular data users while still protecting the privacy of citizens.

The Effects of Community Size, Control Over Agenda, and Contextual Variables on Zika Virus Preparation of Public Information Officers at Local Public Health Departments

As Zika emerged as a major global health threat, public information officers (PIOs) at local public health departments across the United States prepared for outbreaks of the virus amid great uncertainty. Using the crisis and risk emergency communication (CERC) model to inform this study, PIOs (n = 226) at public health departments were surveyed to assess how community size, perceived control over health agenda, and other considerations such as resources and federal influences affected their satisfaction with Zika preparedness in their departments. These contextual, indirect factors may moderate planning efforts for Zika and other health emergencies and thus should be considered in crisis management and planning models such as CERC.

Treatment provision for gambling disorder in Britain: call for an integrated addictions treatment and commissioning model

SummaryTreatment provision for individuals with gambling problems in Britain is at best inadequate. Here we call for gambling treatment provision to be integrated into mainstream drug and alcohol services, and for its commissioning responsibilities to fall under local public health departments.