Leveraging genomic sequencing data to evaluate disease surveillance strategies.

In the face of scarce public health resources, it is critical to understand which disease surveillance strategies are effective, yet such validation has historically been difficult. From May 1 to December 31, 2021, a cohort study was carried out in Santa Clara County, California, in which 10,131 high-quality genomic sequences from COVID-19 polymerase chain reaction tests were merged with disease surveillance data. We measured the informational value, the fraction of sequenced links surfaced that are biologically plausible according to genomic sequence data, of different disease surveillance strategies. Contact tracing appeared more effective than spatiotemporal methods at uncovering nonresidential spread settings, school reporting appeared more fruitful than workplace reporting, and passively retrieved links through survey information presented some promise. Given the rapidly dwindling cost of sequencing, the informational value metric may enable near real-time, readily available evaluation of strategies by public health authorities to fight viral diseases beyond COVID-19.

Integrating social services with disease investigation: A randomized trial of COVID-19 high-touch contact tracing.

COVID-19 exposed and exacerbated health disparities, and a core challenge has been how to adapt pandemic response and public health in light of these disproportionate health burdens. Responding to this challenge, the County of Santa Clara Public Health Department designed a model of "high-touch" contact tracing that integrated social services with disease investigation, providing continued support and resource linkage for clients from structurally vulnerable communities. We report results from a cluster randomized trial of 5,430 cases from February to May 2021 to assess the ability of high-touch contact tracing to aid with isolation and quarantine. Using individual-level data on resource referral and uptake outcomes, we find that the intervention, randomized assignment to the high-touch program, increased the referral rate to social services by 8.4% (95% confidence interval, 0.8%-15.9%) and the uptake rate by 4.9% (-0.2%-10.0%), with the most pronounced increases in referrals and uptake of food assistance. These findings demonstrate that social services can be effectively combined with contact tracing to better promote health equity, demonstrating a novel path for the future of public health.

Automated vs. manual case investigation and contact tracing for pandemic surveillance: Evidence from a stepped wedge cluster randomized trial.

Background: Case investigation and contact tracing (CICT) is an important tool for communicable disease control, both to proactively interrupt chains of transmission and to collect information for situational awareness. We run the first randomized trial of COVID-19 CICT to investigate the utility of manual (i.e., call-based) vs. automated (i.e., survey-based) CICT for pandemic surveillance. Methods: Between December 15, 2021 and February 5, 2022, a stepped wedge cluster randomized trial was run in which Santa Clara County ZIP Codes progressively transitioned from manual to automated CICT. Eleven individual-level data fields on demographics and disease dynamics were observed for non-response. The data contains 106,522 positive cases across 29 ZIP Codes. Findings: Automated CICT reduced overall collected information by 29 percentage points (SE = 0.08, p < 0.01), as well as the response rate for individual fields. However, we find no evidence of differences in information loss by race or ethnicity. Interpretations: Automated CICT can serve as a useful alternative to manual CICT, with no substantial evidence of skewing data along racial or ethnic lines, but manual CICT improves completeness of key data for monitoring epidemiologic patterns. Funding: This research was supported in part by the Stanford Office of Community Engagement and the Stanford Institute for Human-Centered Artificial Intelligence.

A language-matching model to improve equity and efficiency of COVID-19 contact tracing.

Contact tracing is a pillar of COVID-19 response, but language access and equity have posed major obstacles. COVID-19 has disproportionately affected minority communities with many non-English-speaking members. Language discordance can increase processing times and hamper the trust building necessary for effective contact tracing. We demonstrate how matching predicted patient language with contact tracer language can enhance contact tracing. First, we show how to use machine learning to combine information from sparse laboratory reports with richer census data to predict the language of an incoming case. Second, we embed this method in the highly demanding environment of actual contact tracing with high volumes of cases in Santa Clara County, CA. Third, we evaluate this language-matching intervention in a randomized controlled trial. We show that this low-touch intervention results in 1) significant time savings, shortening the time from opening of cases to completion of the initial interview by nearly 14 h and increasing same-day completion by 12%, and 2) improved engagement, reducing the refusal to interview by 4%. These findings have important implications for reducing social disparities in COVID-19; improving equity in healthcare access; and, more broadly, leveling language differences in public services.

Comparing costs and cost-efficiency of platforms for micronutrient powder (MNP) delivery to children in rural Uganda.

Micronutrient powder (MNP) can reduce iron deficiency in young children, which has been well established in efficacy trials. However, the cost of different delivery platforms has not been determined. We calculated the cost and cost-efficiency of distributed MNP through community-based mechanisms and in health facilities in a primarily rural district in Uganda. An endline survey (n = 1072) identified reach and adherence. During the 9-month pilot, 37,458 (community platform) and 12,390 (facility platform) packets of MNP were distributed. Each packet consisted of 30 MNP sachets. In 2016, total costs were $277,082 (community platform, $0.24/sachet) and $221,568 (facility platform, $0.59/sachet). The cost per child reached was lower in the community platform ($53.24) than the facility platform ($65.97). The cost per child adhering to a protocol was $58.08 (community platform) and $72.69 (facility platform). The estimated cost of scaling up the community platform pilot to the district level over 3 years to cover approximately 17,890 children was $1.23 million (scale-up integrated into a partner agency program) to $1.62 million (government scale-up scenario). Unlike previous estimates, these included opportunity costs. Community-based MNP delivery costs were greater, yet more cost-efficient per child reached and adhering to protocol than facility-based delivery. However, total costs for untargeted MNP delivery under program settings are potentially prohibitive.

Evaluation of Allocation Schemes of COVID-19 Testing Resources in a Community-Based Door-to-Door Testing Program.

Importance: Overcoming social barriers to COVID-19 testing is an important issue, especially given the demographic disparities in case incidence rates and testing. Delivering culturally appropriate testing resources using data-driven approaches in partnership with community-based health workers is promising, but little data are available on the design and effect of such interventions. Objectives: To assess and evaluate a door-to-door COVID-19 testing initiative that allocates visits by community health workers by selecting households in areas with a high number of index cases, by using uncertainty sampling for areas where the positivity rate may be highest, and by relying on local knowledge of the health workers. Design Setting and Participants: This cohort study was performed from December 18, 2020, to February 18, 2021. Community health workers visited households in neighborhoods in East San Jose, California, based on index cases or uncertainty sampling while retaining discretion to use local knowledge to administer tests. The health workers, also known as promotores de salud (hereinafter referred to as promotores) spent a mean of 4 days a week conducting door-to-door COVID-19 testing during the 2-month study period. All residents of East San Jose were eligible for COVID-19 testing. The promotores were selected from the META cooperative (Mujeres Empresarias Tomando Acción [Entrepreneurial Women Taking Action]). Interventions: The promotores observed self-collection of anterior nasal swab samples for SARS-CoV-2 reverse transcriptase-polymerase chain reaction tests. Main Outcomes and Measures: A determination of whether door-to-door COVID-19 testing was associated with an increase in the overall number of tests conducted, the demographic distribution of the door-to-door tests vs local testing sites, and the difference in positivity rates among the 3 door-to-door allocation strategies. Results: A total of 785 residents underwent door-to-door testing, and 756 were included in the analysis. Among the 756 individuals undergoing testing (61.1% female; 28.2% aged 45-64 years), door-to-door COVID-19 testing reached different populations than standard public health surveillance, with 87.6% (95% CI, 85.0%-89.8%) being Latinx individuals. The closest available testing site only reached 49.0% (95% CI, 48.3%-49.8%) Latinx individuals. Uncertainty sampling provided the most effective allocation, with a 10.8% (95% CI, 6.8%-16.0%) positivity rate, followed by 6.4% (95% CI, 4.1%-9.4%) for local knowledge, and 2.6% (95% CI, 0.7%-6.6%) for index area selection. The intervention was also associated with increased overall testing capacity by 60% to 90%, depending on the testing protocol. Conclusions and Relevance: In this cohort study of 785 participants, uncertainty sampling, which has not been used conventionally in public health, showed promising results for allocating testing resources. Community-based door-to-door interventions and leveraging of community knowledge were associated with reduced demographic disparities in testing.

Facility- and community-based delivery of micronutrient powders in Uganda: Opening the black box of implementation using mixed methods.

Micronutrient powders (MNP) have the potential to increase micronutrient intake, yet documentation of implementation lessons remains a gap. This paper presents results of a pilot in Uganda comparing community- and facility-based delivery of MNP and documenting experiences of caregivers and distributors. The pilot's mixed method evaluation included a cross-sectional endline survey, monthly household visits, and midline and endline interviews. Primary outcomes were ever-covered (received ≥1 MNP packet), repeat-coverage (received ≥2 MNP packets), and adherence (consumed no more than 1 MNP sachet per day, consumed MNP with food, and consumed MNP 3+ days in past week). An adjusted Wald chi-square test compared differences in programme outcomes between arms, and logit regression identified predictors to adherence. Key informant interviews were coded thematically. Most programme outcomes in the endline survey were statistically significantly higher in the community arm, although in both arms, adherence was lower than other outcomes (adherence 31.4% in facility vs. 58.3% in community arm). Counselling, receipt of communication materials, perceived positive effects, MNP knowledge, and child liking MNP were consistent predictors of adherence in both arms. Qualitative findings corroborated survey results, revealing that social encouragement and advocacy facilitated use and that forgetting to give MNP was a barrier. Facility arm caregivers also cited distance, time, and transportation cost as barriers. Distributors had positive experiences with training and supervision but experienced increased workloads in both arms. MNP programme design is context-specific but could benefit from strengthened community sensitization, continued and more effective counselling for caregivers, and increased support for distributors.

Experiences and lessons learned for programme improvement of micronutrient powders interventions.

Continual course correction during implementation of nutrition programmes is critical to address factors that might limit coverage and potential for impact. Programme improvement requires rigorous scientific inquiry to identify and address implementation pathways and the factors that affect them. Under the auspices of "The Micronutrient Powders Consultation: Lessons Learned for Operational Guidance," 3 working groups were formed to summarize experiences and lessons across countries regarding micronutrient powder (MNP) interventions for young children. This paper focuses on how MNP interventions undertook key elements of programme improvement, specifically, the use of programme theory, monitoring, process evaluation, and supportive supervision. Methods included a review of published and grey literature, interviews with key informants, and deliberations throughout the consultation process. We found that although much has been written and published about the use of monitoring and process evaluation to inform MNP interventions at small scale, there has been little formal documentation of lessons for the transition from pilot to scaled implementation. Supervision processes and experiences are not documented, and to our knowledge, there is no evidence of whether they have been effective to improve implementation. Improving the efficiency and effectiveness of interventions requires identification of critical indicators for detecting implementation challenges and drivers of impact, integration with existing programmes and systems, strengthened technical capacity, and financing for implementation of effective monitoring systems. Our understanding of programme improvement for MNP interventions is still incomplete, especially outside of the pilot stage, and we propose a set of implementation research questions that require further investigation.

Prioritizing and Funding the Uganda Nutrition Action Plan.

BACKGROUND: In 2010, Uganda began developing its first multisectoral nutrition plan, the Uganda Nutrition Action Plan (UNAP), to reduce malnutrition. While the UNAP signals high-level commitment to addressing nutrition, knowledge gaps remain about how to successfully implement such a plan. OBJECTIVE: We tracked the UNAP's influence on the process of priority setting and funding for nutrition from 2013 to 2015. METHODS: This study used a longitudinal mixed methods design to track qualitative and budgetary changes related to UNAP processes nationally as well as in 2 study districts. Qualitative changes were assessed through interviews, news content, and meeting notes. Changes in allocations and expenditures were calculated based on budget documents, work plans, and validation interviews. RESULTS: Important enabling factors named by stakeholders included identity, human resources, sustainable structures, coordination, advocacy, and adaptation of the UNAP to local needs. Evidence suggests that the UNAP facilitated improvements in the last 3 factors. We found no systematic increases in planned nutrition activities, nor did we find increases in allocations or expenditures for nutrition between fiscal years 2013-2014 and 2014-2015. Expenditure data were not always available for all funding mechanisms. In the 2 study districts, there was little flexibility within financing structures to allow for additional nutrition activities. CONCLUSIONS: Results suggest the UNAP has played an important role in strengthening the enabling environment for nutrition action. The next UNAP will need to translate these improvements into a greater number of nutrition activities and higher levels of funding at the national and subnational levels.

Iron+folic acid distribution and consumption through antenatal care: identifying barriers across countries.

OBJECTIVE: The prevalence of maternal anaemia remains unacceptably high in developing countries. At the same time, the percentage of women who consume one or more Fe+folic acid (IFA) tablets during pregnancy remains persistently low. The objective of the present study was to identify where, within antenatal care (ANC) programmes, pregnant women falter in obtaining and consuming an ideal minimum of 180 IFA tablets. DESIGN: Data from Demographic and Health Surveys were used to develop a schematic which identifies four sequential 'falter points' to consuming 180 IFA tablets: ANC attendance, IFA receipt or purchase, IFA consumption and the number of tablets consumed. SETTING: Twenty-two countries with high burdens of undernutrition. SUBJECTS: A sample of 162 958 women, 15 to 49 years of age, with a live birth in the past 5 years. RESULTS: Across all countries, 83 % of all pregnant women had at least one ANC visit, 81 % of whom received IFA tablets. Of those receiving IFA tablets, 95 % consumed at least one. Overall adherence to the ideal supplementation regimen, however, was extremely low: only 8 % consumed 180 or more IFA tablets. There were only two countries in which the percentage of pregnant women consuming 180 or more tablets exceeded 30 %. CONCLUSIONS: While most women receive and take some IFA tablets, few receive or take enough. The analysis identifies where ANC-based distribution of IFA falters in each country. It enables policy makers to design and prioritize follow-up activities to more precisely identify barriers, an essential next step to improving IFA distribution through ANC.

The quality-coverage gap in antenatal care: toward better measurement of effective coverage.

BACKGROUND: The proportion of pregnant women receiving 4 or more antenatal care visits (ANC 4+) is used prominently as a global benchmark indicator to track maternal health program performance. This has contributed to an inappropriate focus on the number of contacts rather than on the content and process of care. This paper presents analysis of specific elements of care received among women reporting 4 or more ANC visits. METHODS: We conducted secondary analysis using Demographic and Health Survey data from 41 countries to determine coverage for specific elements of antenatal care. The analysis was conducted for: (1) women who delivered during the 2 years preceding the survey and who reported receiving 4 or more ANC visits, and (2) all women who delivered during the preceding 2 years. The specific ANC services that we assessed were: blood pressure measurement, tetanus toxoid vaccination, first ANC visit at less than 4 months gestation, urine testing, counseling about danger signs, HIV counseling and testing, iron-folate supplementation (≥ 90 days), and at least 2 doses of sulfadoxine/pyramethamine for malaria prevention. The difference between expected (100%) and actual coverage (the quality-coverage gap) was calculated for each service across the 41 surveys. RESULTS: Coverage for specific elements of care among women reporting 4 or more ANC visits was generally low for most of the specific elements assessed. Blood pressure and tetanus toxoid performed best, with median quality-coverage gaps of 5% and 18%, respectively. The greatest gaps were for iron-folate supplementation (72%) and malaria prevention (86%). Coverage for specific interventions was generally much lower among all pregnant women (reflecting population effective coverage) than among only those who had received ANC 4+ visits. Although ANC 4+ and average coverage across the elements of care correlated relatively well (Pearson r(2)  =  0.56), most countries had lower average coverage for the content of care than for ANC 4+ (among all pregnant women). CONCLUSION: We argue for the adoption of a summary indicator that better reflects the content of antenatal care than does the current ANC 4+ indicator. We propose, as an alternative, the simple average of a set of ANC content indicators available through surveys and routine health information systems.