Journal of Public Health Management and Practice最新文献

Context: Millions of people living in the United States are excluded from health insurance due to income or immigration status. These 2 groups are more likely to lack access to health care or a regular source of care.

Program: NYC Health + Hospitals is addressing this need with NYC Care, a health care access program. The program is designed to be the single point of access for uninsured care citywide and includes a membership card, a 24-hour customer service line, and direct access to primary care medical homes. Health care is coordinated across NYC Health + Hospitals using integrated electronic referrals and a medical record system.

Implementation: The program uses a single enrollment process across safety net health care resources of NYC Health + Hospitals. A 24-hour call center was established to answer questions, make primary care appointments, and make warm handoffs to enrollment staff. Once eligibility is confirmed and patients are enrolled, they are mailed a membership card, a member handbook, and offered a primary care appointment. A multipronged public awareness campaign including citywide, multilingual marketing and outreach via community-based organizations was essential to build trust.

Outcomes: NYC Care had 119 203 members at the end of June 2023. Fifty-eight percent had not seen a primary care doctor in the NYC Health + Hospitals system in the prior 36 months. In total, 76 439 had completed 1 or more primary care visits; 53.1% of enrollees with diabetes had improved hemoglobin A 1c , and 73.4% of enrollees with hypertension had improved blood pressure control after 6 months of enrollment.

Discussion: NYC Care demonstrates that municipalities can improve access to care for the uninsured by simplifying steps to affordable health care services, connecting patients directly to patient-centered medical homes, and improving the patient experience. A comprehensive public awareness campaign is also crucial.

Background: Injection drug use (IDU) is a major contributor to the syndemic of viral hepatitis, human immunodeficiency virus, and drug overdose. However, information on IDU is frequently missing in national viral hepatitis surveillance data, which limits our understanding of the full extent of IDU-associated infections. Multiple imputation by chained equations (MICE) has become a popular approach to address missing data, but its application for IDU imputation is less studied.

Methods: Using the 2019-2021 National Notifiable Diseases Surveillance System acute hepatitis C case data and publicly available county-level measures, we evaluated listwise deletion (LD) and 3 models imputing missing IDU data through MICE: parametric logistic regression, semi-parametric predictive mean matching (PMM), and nonparametric random forest (RF) (both standard RF [sRF] and fast implementation of RF [fRF]).

Results: The estimated IDU prevalence among acute hepatitis C cases increased from 63.5% by LD to 65.1% by logistic regression, 66.9% by PMM, 76.0% by sRF, and 85.1% by fRF. Evaluation studies showed that RF-based MICE imputation, especially fRF, has the highest accuracy (as measured by smallest raw bias, percent bias, and root mean square error) and highest efficiency (as measured by smallest 95% confidence interval width) compared to LD and other models. Sensitivity analyses indicated that fRF remained robust when data were missing not at random.

Conclusion: Our analysis suggested that RF-based MICE imputation, especially fRF, could be a valuable approach for addressing missing IDU data in the context of population-based surveillance systems like National Notifiable Diseases Surveillance System. The inclusion of imputed IDU data may enhance the effectiveness of future surveillance and prevention efforts for the IDU-driven syndemic.

Belief in health misinformation can affect individual health decisions and actions. Repeated exposure to the same misinformation strengthens its impact, yet little is known about how commonly repeated exposure occurs. To estimate the prevalence, we tracked exposure to 5 inaccurate COVID-19 claims every week for up to 23 consecutive weeks in a racially diverse panel of adults (n = 213). Repeated exposure was common: across the 5 claims, 10%-43% of respondents reported hearing the misinformation in ≥ 3 different weeks. Frontline workers were more likely than other community members to experience repeated exposure, with adjusted incidence rate ratios (IRRs) ranging from 1.8 to 4.9 across the 4 items. Repeated exposure was most common among older adults. Adjusted IRR for those ages ≥ 50 versus 18-29 years ranged from 1.8 to 2.5 per misinformation claim. Public health planning efforts to counter health misinformation should anticipate multiple exposures to the same false claim, especially in certain subgroups.

Objective: Governmental public health agencies have experienced longstanding challenges in recruiting individuals at the state and local level. Understanding civil service laws as they relate to the hiring processes is an important component of recruitment and increasing public health workforce capacity. This study presents state hiring laws and regulations governing the public health government workforce.

Methods: Legal mapping techniques were employed to collect and code data on current hiring laws governing governmental public health employees across all 50 states. The review of laws included constitutions, statutes and regulations, and searches of administrative code.

Results: In 12 states, the laws do not specify civil service exam criteria or they have no mention of civil service exams in the law. Almost a third of states have laws that establish civil service exam requirements without specifying conditions for when exams must be required, or which positions allow which types of exam/criteria. Similarly, almost all of the states that have civil service exams denoted in their laws have unspecified language about whether there are exam fees. Requirements for the maintenance/use of state hiring lists are in place in 36 states and 26 states have a non-public health agency managing this process. Nearly all states (n = 48, 96%) require hiring preferences for certain types of individuals, most commonly veterans (n = 48, 96%) and family members of veterans (n = 30, 60%). No state laws provide hiring preferences for individuals from public health fellowships or special training programs.

Conclusion: Key findings suggest that the laws governing the merit system and civil service vary and often lack clarity, which may be difficult for public health agencies and for potential employees to understand, navigate, and successfully recruit key employees. The recruitment and hiring of new governmental public health staff are complicated by the management of hiring by other state agencies and the vague civil service exam requirements and process. Developing preferences for hiring individuals who have additional practical training in public health (eg, public health fellowships and AmeriCorps) should be considered.

The Connecticut Department of Public Health's Early Detection and Prevention Program uses an integrated approach to deliver breast and cervical cancer screening services, cardiovascular disease risk assessment, health coaching, and the identification of social determinants of health to women from economically disadvantaged and minority communities. Statewide contracted providers who represent twenty hospitals and their fee-for-service providers employ community health workers (CHWs) to conduct outreach, screening assessments using mobile medical devices, and risk reduction counseling in community settings to reduce service access barriers, while also engaging eligible women who may not typically frequent clinical services. Mobile medical screening devices enhance healthcare accessibility by enabling screenings to be conducted in a participants preferred setting, whether it is a clinic or within the community, with the added benefit of delivering rapid screening results. Utilizing these results, CHWs provide risk reduction counseling to develop individualized health action plans at the outreach session.

Background: In New York State, excluding New York City, chlamydia remains a persistent health concern. Our aim was to characterize chlamydia epidemiology and identify groups at higher risk of repeat positivity to inform targeted public health interventions.

Methods: We analyzed demographic and clinical data of laboratory-confirmed chlamydia cases in New York State from 2015 to 2019. Repeat positivity was defined as a second positive chlamydia test within 31 to 365 days of the initial positive test. We compared characteristics of individuals with single and repeat positivity and evaluated associations with repeat positivity using multivariable logistic regression models.

Results: During the study period, 176 273 individuals were diagnosed with chlamydia, with 17 253 experiencing repeat positivity. Repeat positivity was more common among individuals assigned female at birth. Key predictors of repeat positivity among females included non-Hispanic Black (adjusted odds ratio [aOR]: 1.33; 95% confidence interval [CI], 1.27-1.40) race/ethnicity, ages 13 to 19 (aOR: 1.62; 95% CI, 1.55-1.69), prior sexually transmitted infection (STI) diagnosis (aOR: 1.24; 95% CI, 1.18-1.31), symptomatic examination (aOR: 1.07; 95% CI, 1.02-1.13), and county/community (aOR: 1.10; 95% CI, 1.05-1.15) or private/public (aOR: 1.18; 95% CI, 1.11-1.25) provider. Among males, predictors included non-Hispanic Black (aOR: 1.57; 95% CI, 1.45-1.70) race/ethnicity, ages 13 to 19 (aOR: 1.27; 95% CI, 1.17-1.38), HIV coinfection (aOR: 1.30; 95% CI, 1.10-1.54), prior STI diagnosis (aOR: 1.31; 95% CI, 1.20-1.43), extragenital infection site (aOR: 2.59; 95% CI, 2.27-2.95), symptomatic examination (aOR: 1.21; 95% CI, 1.12-1.31), and county/community health (aOR: 1.09; 95% CI, 1.02-1.17) provider.

Conclusions: Our findings provide valuable insights for sexual health interventions to prevent chlamydia transmission and recurrence. Prioritizing resources for prevention interventions and tailored sexual health promotion among non-Hispanic Black individuals is crucial. Additionally, targeted STI prevention efforts are needed for males who have sex with men and those initially diagnosed with extragenital infection. Research is warranted on STI prevention among people living with HIV or at high risk of HIV infection. Strengthening prevention strategies through Expedited Partner Therapy and sexual health education for individuals at risk of repeat positivity could enhance prevention efforts.