The Effect of a Tobacco Use Reduction Program on the Prevalence of Smoking and Tobacco Use and Quitting Behavior Among People Living With HIV/AIDS in Michigan.

HIV has evolved from a serious infectious disease to a manageable chronic disease. Tobacco use has a devastating effect on the health of people living with HIV/AIDS (PLWH). The Michigan Tobacco Use Reduction Program for PLWH was established in 2015 to learn about tobacco use among PLWH, gather information on entities that provide health care services to PLWH, and improve tobacco treatment services for this population. The program offers evidence-based treatment interventions to all PLWH who are tobacco users, eligible for the Ryan White HIV/AIDS Program, and served by AIDS service organizations in Michigan. This evaluation had 3 primary outcomes: 1) rates of smoking and tobacco use among program clients, 2) the percentage of clients who made a quit attempt in the previous 12 months, and 3) the types of tobacco cessation methods used by clients. All data were self-reported in 3 surveys, one each in 2015, 2017, and 2021. The rate of cigarette smoking overall among clients decreased significantly from 49.5% in 2015 to 41.5% in 2017. The percentage of clients who made a quit attempt increased from 37.0% in 2015 to 41.9% in 2017; in 2021, this rate was 54.4%. By age, in all 3 survey years, the highest rate of tobacco use was among clients aged 35 to 44 years (range, 48.4%-57.4%). Smoking rates declined significantly from 2015 to 2017 among African American (50.5% to 42.8%) and White clients (49.8% to 39.9%). The most frequently used method of tobacco cessation was medications prescribed by a physician (range, 20%-30%). State tobacco control programs are encouraged to collaborate with their state HIV/AIDS bureaus to create similar programs to treat tobacco use among PLWH.

Factors Associated with COVID-19 Public Health Workforce Pipeline.

Public health entities nationwide conducted historic hiring to mitigate the COVID-19 pandemic. Post-pandemic recovery has seen recognition and investment in the need for public health infrastructure including workforce. This case study presents a descriptive analysis of COVID-19 case investigators and contact tracers who were part of the COVID-19 workforce in Michigan and associated factors in their ongoing interest in the field. The majority of these respondents have continued their public health career.

Rapid Online Data Collection and Reporting to Local Health Departments during the Pandemic: The COVID-19 Outbreak Public Evaluation (COPE) Initiative SARS-CoV-2 Case Surveys.

OBJECTIVES: To develop and implement a pilot online data collection tool to help local health departments with their COVID-19 pandemic response efforts and inform health department actions. DESIGN: The COVID-19 Outbreak Public Evaluation (COPE) was an online survey and was distributed by participating sites to individuals who recently tested positive for SARS-CoV-2. Surveys recorded participant demographics and assessed recent infection risk behaviors (eg, mask use, air travel), vaccination status, sleep and exercise habits, social behaviors and beliefs, and physical and mental health. SETTING: Seven health departments participated in the initiative, which took place during May 1 to September 30, 2022. Identical items were administered to demographically representative samples of adults nationally in the United States within a similar timeframe. PARTICIPANTS: A total of 38 555 participants completed surveys. Responses from participants with recent SARS-CoV-2 infections were compared with respondents from the national surveys who did not have evidence or awareness of prior SARS-CoV-2 infections. MAIN OUTCOME MEASURE: To implement of a process that allows health departments to receive data from local cases and compare this information to national controls during the COVID-19 pandemic. RESULTS: Fifty-four biweekly reports were provided to public health departments between May and September 2022. Information and comparisons within the reports were updated in response to evolving public health priorities for the pandemic response. The initiative helped to guide public health response efforts during the COVID-19 pandemic. Moreover, the receptiveness by local health departments and participants provides evidence to support this data collection and reporting model as a component of the public health response to future emergencies. CONCLUSION: This project demonstrates the feasibility of a centralized, rapid, and adaptive data collection system for local health departments and provides evidence to advocate for data collection methods to help guide local health departments to respond in a timely and effective manner to future public health emergencies.

Perception of Local COVID-19 Transmission and Use of Preventive Behaviors Among Adults with Recent SARS-CoV-2 Infection - Illinois and Michigan, June 1-July 31, 2022.

During the early stages of the COVID-19 pandemic, use of preventive behaviors was associated with perceived risk for contracting SARS-CoV-2 infection (1,2). Over time, perceived risk has declined along with waning COVID-19-related media coverage (3,4). The extent to which communities continue to be aware of local COVID-19 transmission levels and are implementing recommended preventive behaviors is unknown. During June 1-July 31, 2022, health departments in DuPage County, Illinois and metropolitan Detroit, Michigan surveyed a combined total of 4,934 adults who had received a positive test result for SARS-CoV-2 during the preceding 3 weeks. The association between awareness of local COVID-19 transmission and use of preventive behaviors and practices was assessed, both in response to perceived local COVID-19 transmission levels and specifically during the 2 weeks preceding SARS-CoV-2 testing. Both areas had experienced sustained high COVID-19 transmission during the study interval as categorized by CDC COVID-19 transmission levels.* Overall, 702 (14%) respondents perceived local COVID-19 transmission levels as high, 987 (20%) as substantial, 1,902 (39%) as moderate, and 581 (12%) as low; 789 (16%) reported they did not know. Adjusting for geographic area, age, gender identity, and combined race and ethnicity, respondents who perceived local COVID-19 transmission levels as high were more likely to report having made behavioral changes because of the level of COVID-19 transmission in their area, including wearing a mask in public, limiting travel, and avoiding crowded places or events. Continued monitoring of public perceptions of local COVID-19 levels and developing a better understanding of their influence on the use of preventive behaviors can guide COVID-19 communication strategies and policy making during and beyond the pandemic.

Notes from the Field: Cluster of Lymphogranuloma Venereum Cases Among Men Who Have Sex with Men - Michigan, August 2015-April 2016.

Lymphogranuloma venereum (LGV) is a sexually transmitted disease (STD) caused by infection with invasive Chlamydia trachomatis serovars L1-L3 (1). LGV is characterized by inguinal and/or femoral lymphadenopathy, typically following a transient, self-limited genital ulcer or papule that might go unnoticed. Rectal infection can result in proctocolitis that can present with mucoid and/or hemorrhagic rectal discharge, anal pain, constipation, fever, and tenesmus, and signs of granulomas and/or ulcerations on anoscopy (1,2). LGV can be an invasive, systemic infection, and if it is not treated early, LGV proctocolitis can lead to chronic colorectal fistulas and strictures (2). In Europe, outbreaks of LGV have been reported among men who have sex with men (MSM), often in association with human immunodeficiency virus (HIV) coinfection (3-5). The prevalence of LGV in the United States is unknown (1), because diagnostic tests to differentiate LGV from non-LGV Chlamydia trachomatis are not widely available (6), and providers might not know that they should report cases that are presumptively treated.

Emerging epidemic of hepatitis C virus infections among young nonurban persons who inject drugs in the United States, 2006-2012.

BACKGROUND: Reports of acute hepatitis C in young persons in the United States have increased. We examined data from national surveillance and supplemental case follow-up at selected jurisdictions to describe the US epidemiology of hepatitis C virus (HCV) infection among young persons (aged ≤30 years). METHODS: We examined trends in incidence of acute hepatitis C among young persons reported to the Centers for Disease Control and Prevention (CDC) during 2006-2012 by state, county, and urbanicity. Sociodemographic and behavioral characteristics of HCV-infected young persons newly reported from 2011 to 2012 were analyzed from case interviews and provider follow-up at 6 jurisdictions. RESULTS: From 2006 to 2012, reported incidence of acute hepatitis C increased significantly in young persons-13% annually in nonurban counties (P = .003) vs 5% annually in urban counties (P = .028). Thirty (88%) of 34 reporting states observed higher incidence in 2012 than 2006, most noticeably in nonurban counties east of the Mississippi River. Of 1202 newly reported HCV-infected young persons, 52% were female and 85% were white. In 635 interviews, 75% of respondents reported injection drug use. Of respondents reporting drug use, 75% had abused prescription opioids, with first use on average 2.0 years before heroin. CONCLUSIONS: These data indicate an emerging US epidemic of HCV infection among young nonurban persons of predominantly white race. Reported incidence was higher in 2012 than 2006 in at least 30 states, with largest increases in nonurban counties east of the Mississippi River. Prescription opioid abuse at an early age was commonly reported and should be a focus for medical and public health intervention.

Centralized COVID-19 Contact Tracing in a Home-Rule State.

Contact tracing is an evidence-based intervention to control many communicable diseases, including COVID-19. Before the COVID-19 pandemic, contact tracing in Michigan focused on HIV, sexually transmitted infections, and tuberculosis, and it was conducted by state and local health department staff. Within 2 weeks of the first reported COVID-19 cases in Michigan in March 2020, the existing public health workforce was overwhelmed by the need for contact tracing and daily symptom monitoring. This case study narrates the development of a staffing plan that included volunteers and contractual staff to conduct centralized contact tracing in a home-rule state (ie, a state in which local health departments have full authority and autonomy under public health code to conduct the functions necessary to prevent disease, including contact tracing). This case study details various training, workforce management, and technology tools that were used. During the study period (May 2020-June 2021), contact tracers called 432 218 contacts and 269 439 were successfully reached, 48 134 of whom reported developing symptoms. The most important lesson learned was the need for more automated processes to improve efficiency in processing volunteer applicants, training, and scheduling. Nonetheless, the centralized workforce was successful, was flexible, and met the changing demands in Michigan.

Practical Considerations for Matching STD and HIV Surveillance Data with Data from Other Sources.

Data to guide programmatic decisions in public health are needed, but frequently epidemiologists are limited to routine case report data for notifiable conditions such as sexually transmitted diseases (STDs) and human immunodeficiency virus (HIV). However, case report data are frequently incomplete or provide limited information on comorbidity or risk factors. Supplemental data often exist but are not easily accessible, due to a variety of real and perceived obstacles. Data matching, defined as the linkage of records across two or more data sources, can be a useful method to obtain better or additional data, using existing resources. This article reviews the practical considerations for matching STD and HIV surveillance data with other data sources, including examples of how STD and HIV programs have used data matching.

Operationalizing a Data to Care Strategy in Michigan Through Cross-Agency Collaborations.

BACKGROUND: For persons with HIV infection (PWH), viral load suppression is essential to maintaining health and reducing the likelihood of HIV transmission. Data to Care (D2C) is an important strategy for improving HIV outcomes but may be resource-intensive to execute. SETTING: In 2016, Michigan joined the HIV Health Improvement Affinity Group to strengthen D2C partnerships between its Medicaid and HIV program. Goals included establishing routine data sharing, matching data sources to understand health outcomes, and collaborating to turn data into action. METHODS: Michigan established data use agreements to assess gaps in care for PWH enrolled in Medicaid. The HIV Surveillance Program used Link Plus to match surveillance records on PWH to Medicaid's active beneficiary file to identify PWH who were beneficiaries as of December 31, 2015. RESULTS: Matching the 2,300,877 Michigan Medicaid beneficiaries with the 15,845 PWH in HIV surveillance yielded 4822 matched PWH enrolled in Medicaid in 2015. Of Medicaid beneficiaries with HIV, 597 had no evidence of receiving HIV care, representing 20% of all Michigan residents with HIV and not in care in 2015. CONCLUSION: D2C is an effective strategy for improving HIV care continuum outcomes but can be relatively inefficient if implementation models rely solely on public health infrastructure. Through the HIV Health Improvement Affinity Group, Michigan's Medicaid and HIV programs leveraged their combined data assets to evaluate and improve care quality and outcomes for PWH on Medicaid. Partnerships between Medicaid and public health offer attractive mechanisms for potentially increasing efficiency and effectiveness of D2C investments.

Cancer treatment disparities in HIV-infected individuals in the United States.

PURPOSE: HIV-infected individuals with cancer have worse survival rates compared with their HIV-uninfected counterparts. One explanation may be differing cancer treatment; however, few studies have examined this. PATIENTS AND METHODS: We used HIV and cancer registry data from Connecticut, Michigan, and Texas to study adults diagnosed with non-Hodgkin's lymphoma, Hodgkin's lymphoma, or cervical, lung, anal, prostate, colorectal, or breast cancers from 1996 to 2010. We used logistic regression to examine associations between HIV status and cancer treatment, adjusted for cancer stage and demographic covariates. For a subset of local-stage cancers, we used logistic regression to assess the relationship between HIV status and standard treatment modality. We identified predictors of cancer treatment among individuals with both HIV and cancer. RESULTS: We evaluated 3,045 HIV-infected patients with cancer and 1,087,648 patients with cancer without HIV infection. A significantly higher proportion of HIV-infected individuals did not receive cancer treatment for diffuse large B-cell lymphoma (DLBCL; adjusted odds ratio [aOR], 1.67; 95% CI, 1.41 to 1.99), lung cancer (aOR, 2.18; 95% CI, 1.80 to 2.64), Hodgkin's lymphoma (aOR, 1.77; 95% CI, 1.33 to 2.37), prostate cancer (aOR, 1.79; 95% CI, 1.31 to 2.46), and colorectal cancer (aOR, 2.27; 95% CI, 1.38 to 3.72). HIV infection was associated with a lack of standard treatment modality for local-stage DLBCL (aOR, 2.02; 95% CI, 1.50 to 2.72), non-small-cell lung cancer (aOR, 2.43; 95% CI, 1.46 to 4.03), and colon cancer (aOR, 4.77; 95% CI, 1.76 to 12.96). Among HIV-infected individuals, factors independently associated with lack of cancer treatment included low CD4 count, male sex with injection drug use as mode of HIV exposure, age 45 to 64 years, black race, and distant or unknown cancer stage. CONCLUSION: HIV-infected individuals are less likely to receive treatment for some cancers than uninfected people, which may affect survival rates.

Drug-resistant Neisseria gonorrhoeae in Michigan.

The increasing prevalence of quinolone-resistant Neisseria gonorrhoeae (QRNG) in the United States is a cause for concern. Detecting resistance is complicated by the widespread use of molecular tests that do not provide isolates for susceptibility testing. The Michigan Department of Community Health developed a sentinel surveillance program to detect antimicrobial drug resistance in N. gonorrhoeae. Sentinel surveillance from 11 laboratories submitted 1,122 isolates for antimicrobial drug susceptibility testing and detected 2 clusters of QRNG from January 2003 to September 2004. These clusters were epidemiologically distinct: one involved young, heterosexual youth, and the other involved older men who have sex with men. This finding led to changes in local treatment recommendations that limited spread of resistant strains. Development of the sentinel program, collection of data, and epidemiologic analysis of the clusters are discussed.