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Background: Community-based health interventions are increasingly viewed as models of care that can bridge healthcare gaps experienced by underserved communities in the United States (US). With this study, we sought to assess the impact of such interventions, as implemented through the US HealthRise program, on hypertension and diabetes among underserved communities in Hennepin, Ramsey, and Rice Counties, Minnesota., Methods and Findings: HealthRise patient data from June 2016 to October 2018 were assessed relative to comparison patients in a difference-in-difference analysis, quantifying program impact on reducing systolic blood pressure (SBP) and hemoglobin A1c, as well as meeting clinical targets (< 140 mmHg for hypertension, < 8% Al1c for diabetes), beyond routine care. For hypertension, HealthRise participation was associated with SBP reductions in Rice (6.9 mmHg [95% confidence interval: 0.9-12.9]) and higher clinical target achievement in Hennepin (27.3 percentage-points [9.8-44.9]) and Rice (17.1 percentage-points [0.9 to 33.3]). For diabetes, HealthRise was associated with A1c decreases in Ramsey (1.3 [0.4-2.2]). Qualitative data showed the value of home visits alongside clinic-based services; however, challenges remained, including community health worker retention and program sustainability., Conclusions: HealthRise participation had positive effects on improving hypertension and diabetes outcomes at some sites. While community-based health programs can help bridge healthcare gaps, they alone cannot fully address structural inequalities experienced by many underserved communities., Competing Interests: PB and JD are employees of the Medtronic Foundation. CM, SM, NS, and TT are recipients of HealthRise grants from the Medtronic Foundation to implement HealthRise interventions. NF, KC, LSF, SW, MFB, JNC, DVC, RKG, KPH, CKJ, CRM, VM, BKP, MBR, BT, AW, and EG are recipients of funding from grants from the Medtronic Foundation to evaluate HealthRise interventions. There are no associated patents, products, or marketed products associated with this research. This does not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Objective: Although geographically specific data can help target HIV prevention and treatment strategies, Nigeria relies on national- and state-level estimates for policymaking and intervention planning. We calculated sub-state estimates along the HIV continuum of care in Nigeria., Design: Using data from the Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) (July-December 2018), we conducted a geospatial analysis estimating three key programmatic indicators: prevalence of HIV infection among adults (aged 15-64 years); antiretroviral therapy (ART) coverage among adults living with HIV; and viral load suppression (VLS) rate among adults living with HIV., Methods: We used an ensemble modeling method called stacked generalization to analyze available covariates and a geostatistical model to incorporate the output from stacking as well as spatial autocorrelation in the modeled outcomes. Separate models were fitted for each indicator. Finally, we produced raster estimates of each indicator on an approximately 5×5-km grid and estimates at the sub-state/local government area (LGA) and state level., Results: Estimates for all three indicators varied both within and between states. While state-level HIV prevalence ranged from 0.3% (95% uncertainty interval [UI]: 0.3%-0.5%]) to 4.3% (95% UI: 3.7%-4.9%), LGA prevalence ranged from 0.2% (95% UI: 0.1%-0.5%) to 8.5% (95% UI: 5.8%-12.2%). Although the range in ART coverage did not substantially differ at state level (25.6%-76.9%) and LGA level (21.9%-81.9%), the mean absolute difference in ART coverage between LGAs within states was 16.7 percentage points (range, 3.5-38.5 percentage points). States with large differences in ART coverage between LGAs also showed large differences in VLS-regardless of level of effective treatment coverage-indicating that state-level geographic targeting may be insufficient to address coverage gaps., Conclusion: Geospatial analysis across the HIV continuum of care can effectively highlight sub-state variation and identify areas that require further attention in order to achieve epidemic control. By generating local estimates, governments, donors, and other implementing partners will be better positioned to conduct targeted interventions and prioritize resource distribution., Competing Interests: The authors have declared that no competing interests exist.

Background: Results-based aid (RBA) is increasingly used to incentivize action in health. In Mesoamerica, the region consisting of southern Mexico and Central America, the RBA project known as the Salud Mesoamérica Initiative (SMI) was designed to target disparities in maternal and child health, focusing on the poorest 20% of the population across the region., Methods and Findings: Data were first collected in 365 intervention health facilities to establish a baseline of indicators. For the first follow-up measure, 18 to 24 months later, 368 facilities were evaluated in these same areas. At both stages, we measured a near-identical set of supply-side performance indicators in line with country-specific priorities in maternal and child health. All countries showed progress in performance indicators, although with different levels. El Salvador, Honduras, Nicaragua, and Panama reached their 18-month targets, while the State of Chiapas in Mexico, Guatemala, and Belize did not. A second follow-up measurement in Chiapas and Guatemala showed continued progress, as they achieved previously missed targets nine to 12 months later, after implementing a performance improvement plan., Conclusions: Our findings show an initial success in the supply-side indicators of SMI. Our data suggest that the RBA approach can be a motivator to improve availability of drugs and services in poor areas. Moreover, our innovative monitoring and evaluation framework will allow health officials with limited resources to identify and target areas of greatest need.

Indigenous women in Mesoamerica experience disproportionately high maternal mortality rates and are less likely to have institutional deliveries. Identifying correlates of institutional delivery, and satisfaction with institutional deliveries, may help improve facility utilization and health outcomes in this population. We used baseline surveys from the Salud Mesoamérica Initiative to analyze data from 10,895 indigenous and non-indigenous women in Guatemala and Mexico (Chiapas State) and indigenous women in Panama. We created multivariable Poisson regression models for indigenous (Guatemala, Mexico, Panama) and non-indigenous (Guatemala, Mexico) women to identify correlates of institutional delivery and satisfaction. Compared to their non-indigenous peers, indigenous women were substantially less likely to have an institutional delivery (15.2% vs. 41.5% in Guatemala (P<0.001), 29.1% vs. 73.9% in Mexico (P<0.001), and 70.3% among indigenous Panamanian women). Indigenous women who had at least one antenatal care visit were more than 90% more likely to have an institutional delivery (adjusted risk ratio (aRR) = 1.94, 95% confidence interval (CI): 1.44-2.61), compared to those who had no visits. Indigenous women who were advised to give birth in a health facility (aRR = 1.46, 95% CI: 1.18-1.81), primiparous (aRR = 1.44, 95% CI: 1.24-1.68), informed that she should have a Caesarean section (aRR = 1.41, 95% CI: 1.21-1.63), and had a secondary or higher level of education (aRR = 1.36, 95% CI: 1.04-1.79) also had substantially higher likelihoods of institutional delivery. Satisfaction among indigenous women was associated with being able to be accompanied by a community health worker (aRR = 1.15, 95% CI: 1.05-1.26) and facility staff speaking an indigenous language (aRR = 1.10, 95% CI: 1.02-1.19). Additional effort should be exerted to increase utilization of birthing facilities by indigenous and poor women in the region. Improving access to antenatal care and opportunities for higher-level education may increase institutional delivery rates, and providing culturally adapted services may improve satisfaction.

Background: Recent outbreaks of measles in the Americas have received news and popular attention, noting the importance of vaccination to population health. To estimate the potential increase in immunization coverage and reduction in days at risk if every opportunity to vaccinate a child was used, we analyzed vaccination histories of children 11-59 months of age from large household surveys in Mesoamerica., Methods: Our study included 22,234 children aged less than 59 months in El Salvador, Guatemala, Honduras, Mexico, Nicaragua, and Panama. Child vaccination cards were used to calculate coverage of measles, mumps, and rubella (MMR) and to compute the number of days lived at risk. A child had a missed opportunity for vaccination if their card indicated a visit for vaccinations at which the child was not caught up to schedule for MMR. A Cox proportional hazards model was used to compute the hazard ratio associated with the reduction in days at risk, accounting for missed opportunities., Results: El Salvador had the highest proportion of children with a vaccine card (91.2%) while Nicaragua had the lowest (76.5%). Card MMR coverage ranged from 44.6% in Mexico to 79.6% in Honduras while potential coverage accounting for missed opportunities ranged from 70.8% in Nicaragua to 96.4% in El Salvador. Younger children were less likely to have a missed opportunity. In Panama, children from households with higher expenditure were more likely to have a missed opportunity for MMR vaccination compared to the poorest (OR 1.62, 95% CI: 1.06-2.47). In Nicaragua, compared to children of mothers with no education, children of mothers with primary education and secondary education were less likely to have a missed opportunity (OR 0.46, 95% CI: 0.24-0.88 and OR 0.25, 95% CI: 0.096-0.65, respectively). Mean days at risk for MMR ranged from 158 in Panama to 483 in Mexico while potential days at risk ranged from 92 in Panama to 239 in El Salvador., Conclusions: Our study found high levels of missed opportunities for immunizing children in Mesoamerica. Our findings cause great concern, as they indicate that families are bringing their children to health facilities, but these children are not receiving all appropriate vaccinations during visits. This points to serious problems in current immunization practices and protocols in poor areas in Mesoamerica. Our study calls for programs to ensure that vaccines are available and that health professionals use every opportunity to vaccinate a child.

Background: There is a sparsity of knowledge of the specific mechanisms through which financial and non-financial incentives impact the performance of health teams. This study aims to address this knowledge gap by examining an in-kind incentives program for healthcare teams implemented in three districts in Belize (2012–2022) as part of the Salud Mesoamerica Initiative, which aimed to improve healthcare quality. Methods: We performed a qualitative study to understand the mechanisms through which the in-kind incentive program supported quality improvement in Belize. We conducted key informant interviews (April—June 2021) remotely on a sample of former and current healthcare workers from Belize's Ministry of Health and Wellness familiar with the program. We analyzed responses using qualitative content analysis. We used open coding to identify patterns and themes. Results: We conducted eight key informant interviews from a pool of thirty potential informants. Our analysis of the interviews yielded a total of 11 major themes with 27 subthemes. Most informants reported that in-kind incentives were not the primary motivation for improving their performance, though they did acknowledge that incentives had increased their attention on the quality of care provided. Conversely, we found that quarterly measurements and supportive supervision by national level authorities offered an external validation mechanism and instilled frontline staff with a sense of shared responsibility towards improving their performance. The majority of informants conveyed positive opinions about the in-kind incentives program. Conclusions: Our study contributes to the understanding of how in-kind incentives can enhance performance. We found that in-kind incentives created extrinsic motivation, leading to an increased focus on quality. Standardized measurements and supportive supervision improved intrinsic motivation and formed a stronger commitment to quality of care. Rather than focusing on tangible incentives, explicitly incorporating standardized measurements and supportive supervision in the routine work of the Ministry of Health could have longer lasting effects on quality improvement. [ABSTRACT FROM AUTHOR]

Background: Preterm birth is the leading cause of death among children <5 years of age. Accurate determination of prematurity is necessary to provide appropriate neonatal care and guide preventive measures. To estimate the most accurate method to identify infants at risk for adverse outcomes, we assessed the validity of two widely available methods—last menstrual period (LMP) and the New Ballard (NB) neonatal assessment—against ultrasound in determining gestational age and preterm birth in highland Guatemala. Methods: Pregnant women (n = 188) were recruited with a gestational age <20 weeks and followed until delivery. Ultrasound was performed by trained physicians and LMP was collected during recruitment. NB was performed on infants within 96 hours of birth by trained study nurses. LMP and NB accuracy at determining gestational age and identifying prematurity was assessed by comparing them to ultrasound. Results: By ultrasound, infant mean gestational age at birth was 38.3 weeks (SD = 1.6) with 16% born at less than 37 gestation. LMP was more accurate than NB (mean difference of +0.13 weeks for LMP and +0.61 weeks for NB). However, LMP and NB estimates had low agreement with ultrasound-determined gestational age (Lin’s concordance<0.48 for both methods) and preterm birth (κ<0.29 for both methods). By LMP, 18% were judged premature compared with 6% by NB. LMP underestimated gestational age among women presenting later to prenatal care (0.18 weeks for each additional week). Gestational age for preterm infants was overestimated by nearly one week using LMP and nearly two weeks using NB. New Ballard neuromuscular measurements were more predictive of preterm birth than those measuring physical criteria. Conclusion: In an indigenous population in highland Guatemala, LMP overestimated prematurity by 2% and NB underestimated prematurity by 10% compared with ultrasound estimates. New, simple and accurate methods are needed to identify preterm birth in resource-limited settings worldwide. [ABSTRACT FROM AUTHOR]