Journal of Public Health Management and Practice最新文献

Context: Laboratory-based hepatitis C virus (HCV) clearance cascades are an important tool for health departments to track progress toward HCV elimination, but a laboratory-based definition of HCV clearance has not yet been validated.

Objective: To compare agreement between a laboratory-based HCV clearance definition with a clinical cure definition.

Design: Observational.

Setting: New York City Department of Health and Mental Hygiene HCV surveillance system data and New York City hepatitis C linkage-to-care program data.

Participants: Linkage-to-care program participants who were diagnosed with hepatitis C and enrolled in the linkage-to-care program from July 1, 2016, through June 30, 2020.

Main outcome measure: Percent agreement between a laboratory-based HCV clearance definition (surveillance system) and a clinical cure definition (program data).

Results: Among 591 program participants with known treatment outcome, the laboratory-based HCV clearance definition and clinical cure definition were concordant in 573 cases (97%).

Conclusions: A laboratory-based HCV clearance definition based on public health surveillance data can be a reliable source for monitoring HCV elimination.

Context: The illicit drug landscape in the United States is dynamic, featuring a risky and erratic drug supply. Drug checking programs (DCP) have been successfully implemented and studied extensively in Canada and Europe but are scarce in the United States. Integrating DCP at harm reduction programs provides an opportunity to engage people at the point-of-care and deliver a combination of harm reduction services, access to healthcare services, and linkages to treatment.

Program: The New York State Department of Health (NYSDOH) developed and supports operation of 8 pilot community DCP sites throughout the state. The DCP were trained to utilize Fourier-transform infrared spectroscopy (FTIR) technology to deliver real-time results to participants.

Implementation: The NYSDOH community DCP pilot began development in 2022. Partnerships were formed across multiple domains including other DCP, universities, forensic laboratories, syringe service and harm reduction programs, and legal and regulatory offices within the NYSDOH. The first pilot sites began operating in mid-2023 and program expansion is on-going.

Evaluation: Evaluation staff were extensively engaged in development and implementation phases. Qualitative evaluation focused on barriers, facilitators, and lessons learned from program staff and technicians. Quantitative evidence was gathered to assess the reach of the DCP and accuracy of results attained by drug checking technicians during their training periods. Drug checking results helped characterize the illicit drug supply.

Discussion: Development and implementation of DCP in NYS was facilitated by strong partnerships across sectors including public health and harm reduction. DCP may involve diverse partners who do not regularly collaborate, and health departments are positioned to build relationships and convene partners for program implementation. Evaluation findings highlight the importance of facilitating on-going training and technical assistance to DCP for quality assurance. The initial successes and lessons learned from the NYSDOH DCP demonstrate state public health departments' ability to successfully deploy this innovative harm reduction strategy.

Context: Drug checking, defined as the use of instruments (e.g. spectrometers), test strips, and other technologies to provide information on drug composition for harm reduction purposes, has emerged as a promising intervention to reduce harms of illicit drugs linked to overdose deaths. While demonstrating potential, these interventions remain limited in reach amid questions of how to reach the full population of people who use drugs and are at risk of overdose, including those outside urban areas. In response to these limitations, Substance, a drug checking project based in Victoria, Canada, developed a Distributed Model of Drug Checking and a concomitant training program.

Program: The Distributed Drug Checking Training program eliminates need for point-of-care spectrometry technicians, instead capacitating harm reduction workers to provide drug checking using software developed by the project, infrared spectrometers, and immunoassay test strips. The training includes 5 hours of group content that can be delivered virtually, and 2 hours of practice time per learner.

Implementation: Training and data collection took place between May 2022 and March 2024 with learners from 6 locations across Vancouver Island, Canada. We offered 13 training sessions, with evaluation data collected from 54 learners.

Evaluation: The training was evaluated across Kirkpatrick's 4 levels of training evaluation. The training was highly acceptable to learners, attributable to intended changes in knowledge and skill related to drug checking, resulted in competence to deliver drug checking through the project's Distributed Model, and facilitated expansion of drug checking services to 6 geographically distant locations.

Discussion: After completing the 7-hour training program, harm reduction workers were able to deliver drug checking without need for on-site drug checking technicians. The short duration of the training and its demonstrated success with the Distributed Model of Drug Checking make this a promising approach for expanding the reach of drug checking services.

Context: There are currently no national estimates of how many people die while unhoused in the US. Local jurisdictions have developed their own approaches for estimating homeless mortality.

Objective: We aimed to examine these local approaches, document what is known about homeless mortality, and summarize local methodologies.

Design: We reviewed 17 publicly available homeless mortality reports (ie, gray literature).

Setting: Reports were sought from government, Health Care for the Homeless, coalition to end homelessness, and other advocacy and social service websites.

Main outcome: From each report, we extracted the number of homeless deaths, dates of observation, data source(s) used, determination of homeless status, manners and causes of death, and decedent demographics.

Results: Data collection and reporting on homeless mortality varied greatly across reports. This variation limits aggregation across reports. Medical examiner data was the most used data source. Manner of death was the most consistently collected field, with accidental deaths reported as the most prevalent manner of homeless deaths. Not all reports listed specific causes of death, but those that did reported toxicity (eg, overdose) and cardiovascular causes as most prevalent. The most granular age category of most homeless decedents was 40 to 60 years. On average, 80% of decedents were of male sex. While over half of reports included race and ethnicity information, disparities could not be estimated without suitable denominators.

Conclusions: Standardized data collection and reporting guidance is needed for homeless mortality. Health departments can work with local Health Care for the Homeless programs and Continuums of Care to establish data sharing processes. Matching vital statistics with homeless service utilization records may be one opportunity to improve these efforts. Until there is federal or national guidance on these standards, localities can consider adding housing or homelessness variables as optional or mandatory fields in electronic death reporting systems.

Context: The COVID-19 pandemic exposed governmental public health's outdated information technology and insufficient data science and informatics workforce capacity. The Centers for Disease Control and Prevention's Public Health Informatics Fellowship Program (PHIFP) is well positioned to strengthen public health data science and informatics workforce capacity.

Program: Established in 1996, PHIFP is a 2-year, full-time, on-the-job training program. PHIFP includes a didactic curriculum, applied learning through informatics projects completed at the assigned host site, short-term technical assistance projects, and a final capstone project.

Evaluation: Fellows have learned from and bolstered host site informatics capacity through the development or enhancement of information systems, evaluations, data integration, data visualization, and analysis. Among recent graduates, 54% are employed at Centers for Disease Control and Prevention and 16% are employed at other public health organizations, including local health departments.

Discussion: Fellowships such as PHIFP, which recruit and train promising scientists in public health informatics, are important components of efforts to strengthen public health workforce capacity.

Background: Existing surveillance systems monitor nonfatal and fatal opioid overdoses but do not monitor severe nonfatal overdoses that require intensive medical interventions.

Methods: The Centers for Disease Control and Prevention's Drug Overdose Surveillance and Epidemiology system was used to query emergency department data from local syndromic systems and the National Syndromic Surveillance Program from January 2019 to August 2022. Opioid overdoses were classified as not severe or severe using a definition from the patient's chief complaint terms and discharge diagnosis codes. The percentage of opioid overdoses treated in emergency departments classified as severe was described by patient demographics, US Census region, and month.

Results: Among 503 156 opioid overdoses in 29 states and Washington, DC, from January 2019 to August 2022, 17.4% were classified as severe. Common key terms found among severe opioid overdoses were hypoxia (34.8%), unresponsive (32.9%), and naloxone/Narcan (20.9%). The largest severity percentage was in the South Census region (19.6%). The trends of severe opioid overdoses remained stable during the study period.

Discussion: Based on the severe opioid overdose definition, there was minimal change in the severity of opioid overdoses during the study period. This definition can help monitor trends of severe opioid overdoses, guiding public health action such as focusing on naloxone and fentanyl test strip distribution to areas of need.

As the COVID-19 pandemic progressed, reliable, accessible, and equitable community-based testing strategies were sought that did not flood already overburdened hospitals and emergency departments. In Hamilton County, Ohio, home to ~800 000 people across urban, suburban, and rural areas, we sought to develop and optimize an accessible, equitable county-wide COVID-19 testing program. Using Coronavirus Aid, Relief, and Economic Security Act funding, multidisciplinary, multiorganization partners created the test and protect program to deliver safe, reliable testing in neighborhoods and organizations needing it most. Our approach involved: (1) use of geospatial analytics to identify testing locations positioned to optimize access; (2) community engagement to ensure sites were in trusted places; and (3) tracking of data over time to facilitate ongoing improvement. Between August 2020 and December 2021, more than 65 000 tests were completed for nearly 46 000 individuals at community-based testing sites. These methods could have application beyond COVID-19 and our region.

Context: International Classification of Diseases (ICD) codes are used for billing but also for surveillance for injuries such as traumatic brain injuries (TBI). While specificity is possible in the ICD-10-CM scheme, use of the code for unspecified injury of head (SO9.9) remains high.

Objectives: This process evaluation sought to understand medical ICD-10-CM coding behaviors for TBI in emergency department (ED) settings.

Design: Semi-structured interviews explored the processes that facilitate or hinder ED physicians from selecting specific ICD codes for TBI and potential points of intervention for increased coding specificity and reducing the use of unspecified codes.

Setting: Video interviews were conducted with a nationwide sample in the United States.

Participants: A purposive snowball sampling strategy was used to recruit 26 ED physicians with experience diagnosing TBI.

Intervention: Semi-structured interviews identified factors related to the selection of specific ICD codes for head injury.

Main outcome measure: Thematic analysis of transcribed data.

Results: Four main themes emerged from the data: the impact of training and expertise, factors related to diagnosis, unclear connections with medical coders, and actionable recommendations. Interviews underscored the context surrounding "unspecified" codes for TBI, including demands from patient care, time pressures, issues around how a diagnosis may impact patient management decisions, and considerations related to mapping within the electronic medical record (EMR) where options may default to an unspecified code.

Conclusions: Findings from this analysis indicate that ED providers may benefit from more robust training on how documentation can better support ICD-10-CM coding for this type of trauma. Revised EMR structures could support efficient coding specificity and clarity.

Context: Public health programs promote numerous tickborne disease (TBD) prevention measures. However, measures are not frequently or consistently performed.

Objective: Describe barriers to consistent use of 4 commonly promoted TBD prevention measures.

Design: We conducted an online survey (n = 1883) evaluating behaviors regarding TBD prevention measures including conducting tick checks, applying insect repellents, showering/bathing, and applying chemical or natural pesticides to residential yards. Respondents could select reasons for never, rarely, or sometimes performing these measures. Descriptive analysis and logistic regression modeling evaluated associations between the 3 most cited barriers for each measure and select demographic variables.

Setting: The survey was administered to residents in high Lyme disease incidence counties of Connecticut and Maryland, 2016-2017.

Results: For tick checks (n = 800), the most cited barriers were forgetting (63%), not spending time in tick habitat (28%), and too much trouble (11%). For applying insect repellents (n = 1303), the most cited barriers were forgetting (38%), personal safety concerns (24%), and too much trouble (19%). For showering/bathing 2 hours after outdoor activity in tick habitat (n = 1080), the most cited barriers were being unaware of the prevention measure (51%), too much trouble (18%), and forgetting (18%). For applying chemical pesticides to yards (n = 1320), the most cited barriers were having environmental (45%), pet safety (31%), and personal safety concerns (28%). Lastly, for applying natural pesticides to yards (n = 1357), the most cited barriers were being unaware of natural pesticides (31%), having cost concerns (23%), and not being concerned about ticks on property (16%).

Conclusions: Forgetting, too much trouble, unawareness, and safety concerns were primary barriers to using several TBD prevention measures. Education regarding effectiveness, safety, and timing may increase uptake of certain measures. These challenges can be difficult to address, highlighting the need for passive TBD prevention measures, such as a Lyme disease vaccine.

As part of CDC's Partnering for Vaccine Equity Program, the Association of State and Territorial Health Officials worked with the National Community Action Partnership and five community action agencies (CAAs) to address disparities in adult immunization among racial and ethnic minority populations. CAAs leveraged partnerships with public health, healthcare, and other local entities to increase uptake of COVID-19 and other vaccines, while simultaneously addressing related social determinants of health. With over 1000 agencies across the United States, including state associations, CAAs are accessible partners to nearly all state and local health departments. Collaboration between public health and community action is a promising model that can be used to cultivate trust, build and support resiliency, and address systemic disparities to advance health equity within communities.