Medication for Opioid Use Disorder During Pregnancy - Maternal and Infant Network to Understand Outcomes Associated with Use of Medication for Opioid Use Disorder During Pregnancy (MAT-LINK), 2014-2021.

Problem: Medication for opioid use disorder (MOUD) is recommended for persons with opioid use disorder (OUD) during pregnancy. However, knowledge gaps exist about best practices for management of OUD during pregnancy and these data are needed to guide clinical care. Period Covered: 2014-2021. Description of the System: Established in 2019, the Maternal and Infant Network to Understand Outcomes Associated with Medication for Opioid Use Disorder During Pregnancy (MAT-LINK) is a surveillance network of seven clinical sites in the United States. Boston Medical Center, Kaiser Permanente Northwest, The Ohio State University, and the University of Utah were the initial clinical sites in 2019. In 2021, three clinical sites were added to the network (the University of New Mexico, the University of Rochester, and the University of South Florida). Persons receiving care at the seven clinical sites are diverse in terms of geography, urbanicity, race and ethnicity, insurance coverage, and type of MOUD received. The goal of MAT-LINK is to capture demographic and clinical information about persons with OUD during pregnancy to better understand the effect of MOUD on outcomes and, ultimately, provide information for clinical care and public health interventions for this population. MAT-LINK maintains strict confidentiality through robust information technology architecture. MAT-LINK surveillance methods, population characteristics, and evaluation findings are described in this inaugural surveillance report. This report is the first to describe the system, presenting detailed information on funding, structure, data elements, and methods as well as findings from a surveillance evaluation. The findings presented in this report are limited to selected demographic characteristics of pregnant persons overall and by MOUD treatment status. Clinical and outcome data are not included because data collection and cleaning have not been completed; initial analyses of clinical and outcome data will begin in 2023. Results: The MAT-LINK surveillance network gathered data on 5,541 reported pregnancies with a known pregnancy outcome during 2014-2021 among persons with OUD from seven clinical sites. The mean maternal age was 29.7 (SD = ±5.1) years. By race and ethnicity, 86.3% of pregnant persons were identified as White, 25.4% as Hispanic or Latino, and 5.8% as Black or African American. Among pregnant persons, 81.6% had public insurance, and 84.4% lived in urban areas. Compared with persons not receiving MOUD during pregnancy, those receiving MOUD during pregnancy were more likely to be older and White and to have public insurance. The evaluation of the surveillance system found that the initial four clinical sites were not representative of demographics of the South or Southwest regions of the United States and had low representation from certain racial and ethnic groups compared with the overall U.S. population; however, the addition of three clinical sites in 2021 made the surveillance network more representative. Automated extraction and processing improved the speed of data collection and analysis. The ability to add new clinical sites and variables demonstrated the flexibility of MAT-LINK. Interpretation: MAT-LINK is the first surveillance system to collect comprehensive, longitudinal data on pregnant person-infant dyads with perinatal outcomes associated with MOUD during pregnancy from multiple clinical sites. Analyses of clinical site data demonstrated different sociodemographic characteristics between the MOUD and non-MOUD treatment groups. Public Health Actions: MAT-LINK is a timely and flexible surveillance system with data on approximately 5,500 pregnancies. Ongoing data collection and analyses of these data will provide information to support clinical and public health guidance to improve health outcomes among pregnant persons with OUD and their children.

Using the Collaborative Requirements Development Methodology to Build Laboratory Capacity for Timely Diagnosis During the Zika Epidemic in Puerto Rico.

INTRODUCTION: In 2016, Puerto Rico became the focal point of the Zika epidemic, with more than 36 000 laboratory-confirmed cases before August. The Puerto Rico Department of Health (PRDH) responded by providing tests to symptomatic and asymptomatic pregnant women. The increased demand for Zika testing placed unprecedented strain on the laboratory capacity and information management processes used within the PRDH. The PRDH recognized the need to have an updated informatics system that securely manages, stores, and transmits digital data. The Centers for Disease Control and Prevention funded the Public Health Informatics Institute to collaborate with the PRDH to assess and improve the informatics capability to respond to the ongoing Zika virus transmission in Puerto Rico. APPROACH: The team employed a 4-component approach to assess the informatics system and improve the information management processes for laboratory testing and reporting of arboviral diseases (Zika, chikungunya, and dengue). The method consisted of a (1) needs assessment, (2) business process analysis and requirements definition, (3) vendor analysis, and (4) solution implementation. RESULTS: The needs assessment determined that the PRDH's procedures for arbovirus testing and reporting were highly complex and paper-based and thus did not maximize the use of existing technology. The solution was to build a Web portal. The business process analysis yielded information to create a map of the flow of specimens, an arbovirus context diagram, and more than 200 requirements. The requirements identified in this process guided the design and creation of the Web portal. DISCUSSION: This report describes the process to build a Web portal to enhance laboratory testing and electronic reporting of Zika cases during the 2016 epidemic in Puerto Rico. We demonstrate the utility of applying the Collaborative Requirements Development Methodology, a proven informatics method, to the development of a Web portal for managing arboviruses in a health department.