Community-Clinical Linkages: The Effects of the Healthy Here Wellness Referral Center on Chronic Disease Indicators Among Underserved Populations in New Mexico.

The majority of U.S. adults are living with at least one chronic condition, and people of color bear a disproportionate burden of chronic disease. Prior research identifies community-clinical linkages (CCLs) as a strategy for improving health. CCLs traditionally use health care providers to connect patients to community-based self-management programs. The purpose of this study was to examine the effectiveness of a centralized CCL system on health indicators and health disparities. Administrative health data were merged with referral system data to conduct a quasi-experimental comparative time series study with a comparison group of nonreferred patients. Interrupted time-series comparisons within referred patients were also conducted. Of the 2,920 patients meeting inclusion criteria, 972 (33.3%) received a referral during the study period (January 2019-September 2021). Hemoglobin A1c levels, used to diagnose diabetes, declined significantly among referred patients, as did disparities among Hispanic/Latinx participants compared with non-Hispanic White participants. No changes were observed in body mass index (BMI). Blood pressure increased among both referred and nonreferred patients. CCLs with a centralized referral system can effectively reduce markers of diabetes and may contribute to the maintenance of BMI. The observed increase in blood pressure may have been affected by the COVID-19 pandemic and warrants further study. Practitioners can work with community partners to implement a centralized CCL model, either on its own or to enhance existing clinician or community health worker-based models.

Impact of COVID-19 on routine malaria indicators in rural Uganda: an interrupted time series analysis.

BACKGROUND: In March 2020, the government of Uganda implemented a strict lockdown policy in response to the COVID-19 pandemic. Interrupted time series analysis (ITSA) was performed to assess whether major changes in outpatient attendance, malaria burden, and case management occurred after the onset of the COVID-19 epidemic in rural Uganda. METHODS: Individual level data from all outpatient visits collected from April 2017 to March 2021 at 17 facilities were analysed. Outcomes included total outpatient visits, malaria cases, non-malarial visits, proportion of patients with suspected malaria, proportion of patients tested using rapid diagnostic tests (RDTs), and proportion of malaria cases prescribed artemether-lumefantrine (AL). Poisson regression with generalized estimating equations and fractional regression was used to model count and proportion outcomes, respectively. Pre-COVID trends (April 2017-March 2020) were used to predict the'expected' trend in the absence of COVID-19 introduction. Effects of COVID-19 were estimated over two six-month COVID-19 time periods (April 2020-September 2020 and October 2020-March 2021) by dividing observed values by expected values, and expressed as ratios. RESULTS: A total of 1,442,737 outpatient visits were recorded. Malaria was suspected in 55.3% of visits and 98.8% of these had a malaria diagnostic test performed. ITSA showed no differences between observed and expected total outpatient visits, malaria cases, non-malarial visits, or proportion of visits with suspected malaria after COVID-19 onset. However, in the second six months of the COVID-19 time period, there was a smaller mean proportion of patients tested with RDTs compared to expected (relative prevalence ratio (RPR) = 0.87, CI (0.78-0.97)) and a smaller mean proportion of malaria cases prescribed AL (RPR = 0.94, CI (0.90-0.99)). CONCLUSIONS: In the first year after the COVID-19 pandemic arrived in Uganda, there were no major effects on malaria disease burden and indicators of case management at these 17 rural health facilities, except for a modest decrease in the proportion of RDTs used for malaria diagnosis and the mean proportion of malaria cases prescribed AL in the second half of the COVID-19 pandemic year. Continued surveillance will be essential to monitor for changes in trends in malaria indicators so that Uganda can quickly and flexibly respond to challenges imposed by COVID-19.

When Should Asymptomatic Persons Be Tested for COVID-19?

On 24 August 2020, the Centers for Disease Control and Prevention (CDC) updated its website to highlight that asymptomatic individuals, even those with exposure to a COVID-19-positive contact, do not necessarily need to be tested unless they have medical conditions associated with increased risk of severe illness from COVID-19. The CDC subsequently updated its guidance on 19 September 2020 to support testing of asymptomatic persons, including close contacts of persons with documented SARS-CoV-2 infection. In this editorial, the American Society for Microbiology Clinical and Public Health Microbiology Committee's Subcommittee on Laboratory Practices comments on testing of asymptomatic individuals relative to current medical knowledge of the virus and mitigation measures. Specific points are provided concerning such testing when undertaking contact tracing and routine surveillance. Limitations to consider when testing asymptomatic persons are covered, including the need to prioritize testing of contacts of positive COVID-19 cases. We urge the CDC to consult with primary stakeholders of COVID-19 testing when making such impactful changes in testing guidance.