An Examination of Discrimination on Stress, Depression, and Oppression-Based Trauma During the COVID-19 Pandemic and the Racial Awakening of 2020.

Background: Discrimination is a pervasive societal issue that monumentally impacts people of color (POC). Many Black, Asian, and Hispanic/Latinx individuals report experiencing race-based discrimination in their lifetime. Discrimination has previously been linked to adverse health outcomes among POC, including stress, depressive, and posttraumatic stress disorder symptoms. These health disparities are posited to have become exacerbated by COVID-19 and the racial awakening of 2020. The current study examined the short- and long-term effects of discrimination on stress, depression, and oppression-based trauma among POC. Methods: Participants were (n = 398) who identified as Black, Indigenous, Hispanic/Latinx, and Asian completed an online self-report survey assessing discrimination, depression, stress, and oppression-based trauma collected at 3 time points: (T1) beginning of the COVID-19 pandemic (May 2020), (T2) 6 weeks later during the racial awakening of 2020 (June 2020), (T3) one year later (June 2021). Results: Significant positive paths were revealed from T1 discrimination to T2 depression, T2 stress, and T3 oppression-based trauma. The association between T1 discrimination and T3 oppression-based trauma was partially mediated by T2 depression, but not by stress; total and total indirect effects remained significant. The final model accounted for a significant proportion of the variance in T3 oppression-based trauma, T2 depression, and T2 stress. Conclusion: Findings are consistent with prior research linking discriminatory experiences with mental health symptomatology and provide evidence that race-based discrimination poses harmful short-and long-term mental health consequences. Further research is necessary to better understand oppression-based trauma to improve the accuracy of clinical diagnosis and treatment of POC.

Access to maternal health services: geographical inequalities, United Republic of Tanzania.

OBJECTIVE: To determine if improved geographical accessibility led to increased uptake of maternity care in the south of the United Republic of Tanzania. METHODS: In a household census in 2007 and another large household survey in 2013, we investigated 22 243 and 13 820 women who had had a recent live birth, respectively. The proportions calculated from the 2013 data were weighted to account for the sampling strategy. We examined the association between the straight-line distances to the nearest primary health facility or hospital and uptake of maternity care. FINDINGS: The percentages of live births occurring in primary facilities and hospitals rose from 12% (2571/22 243) and 29% (6477/22 243), respectively, in 2007 to weighted values of 39% and 40%, respectively, in 2013. Between the two surveys, women living far from hospitals showed a marked gain in their use of primary facilities, but the proportion giving birth in hospitals remained low (20%). Use of four or more antenatal visits appeared largely unaffected by survey year or the distance to the nearest antenatal clinic. Although the overall percentage of live births delivered by caesarean section increased from 4.1% (913/22 145) in the first survey to a weighted value of 6.5% in the second, the corresponding percentages for women living far from hospital were very low in 2007 (2.8%; 35/1254) and 2013 (3.3%). CONCLUSION: For women living in our study districts who sought maternity care, access to primary facilities appeared to improve between 2007 and 2013, however access to hospital care and caesarean sections remained low.

Innovative Care Model to Improve Clinical Quality and Safety of Transitional Care: Early Outcomes.

One in five elderly patients returns to the hospital within 30 days of leaving. These rehospitalizations are a common and costly occurrence. A program developed to address problems in post-acute transitional care seems to be effective in reducing 30-day readmission rates for some Medicare fee-for-service beneficiaries.

Modeling the cost effectiveness of malaria control interventions in the highlands of western Kenya.

INTRODUCTION: Tools that allow for in silico optimization of available malaria control strategies can assist the decision-making process for prioritizing interventions. The OpenMalaria stochastic simulation modeling platform can be applied to simulate the impact of interventions singly and in combination as implemented in Rachuonyo South District, western Kenya, to support this goal. METHODS: Combinations of malaria interventions were simulated using a previously-published, validated model of malaria epidemiology and control in the study area. An economic model of the costs of case management and malaria control interventions in Kenya was applied to simulation results and cost-effectiveness of each intervention combination compared to the corresponding simulated outputs of a scenario without interventions. Uncertainty was evaluated by varying health system and intervention delivery parameters. RESULTS: The intervention strategy with the greatest simulated health impact employed long lasting insecticide treated net (LLIN) use by 80% of the population, 90% of households covered by indoor residual spraying (IRS) with deployment starting in April, and intermittent screen and treat (IST) of school children using Artemether lumefantrine (AL) with 80% coverage twice per term. However, the current malaria control strategy in the study area including LLIN use of 56% and IRS coverage of 70% was the most cost effective at reducing disability-adjusted life years (DALYs) over a five year period. CONCLUSIONS: All the simulated intervention combinations can be considered cost effective in the context of available resources for health in Kenya. Increasing coverage of vector control interventions has a larger simulated impact compared to adding IST to the current implementation strategy, suggesting that transmission in the study area is not at a level to warrant replacing vector control to a school-based screen and treat program. These results have the potential to assist malaria control program managers in the study area in adding new or changing implementation of current interventions.

Evaluation of community-based systems for the surveillance of day three-positive Plasmodium falciparum cases in Western Cambodia.

BACKGROUND: Delayed clearance of Plasmodium falciparum parasites is used as an operational indicator of potential artemisinin resistance. Effective community-based systems to detect P. falciparum cases remaining positive 72 hours after initiating treatment would be valuable for guiding case follow-up in areas of known resistance risk and for detecting areas of emerging resistance. METHODS: Systems incorporating existing networks of village malaria workers (VMWs) to monitor day three-positive P. falciparum cases were piloted in three provinces in western Cambodia. Quantitative and qualitative data were used to evaluate the wider feasibility and sustainability of community-based surveillance of day three-positive P. falciparum cases. RESULTS: Of 294 day-3 blood slides obtained across all sites (from 297 day-0 positives), 63 were positive for P. falciparum, an overall day-3 positivity rate of 21%. There were significant variations in the systems implemented by different partners. Full engagement of VMWs and health centre staff is critical. VMWs are responsible for a range of individual tasks including preparing blood slides on day-0, completing forms, administering directly observed therapy (DOT) on days 0-2, obtaining follow-up slides on day-3 and transporting slides and paperwork to their supervising health centre. When suitably motivated, unsalaried VMWs are willing and able to produce good quality blood smears and achieve very high rates of DOT and day-3 follow-up. CONCLUSIONS: Community-based surveillance of day-3 P. falciparum cases is feasible, but highly intensive, and as such needs strong and continuous support, particularly supervision and training. The purpose and role of community-based day-3 surveillance should be assessed in the light of resource requirements; scaling-up would need to be systematic and targeted, based on clearly defined epidemiological criteria. To be truly comprehensive, the system would need to be extended beyond VMWs to other public and private health providers.

Combined DNA extraction and antibody elution from filter papers for the assessment of malaria transmission intensity in epidemiological studies.

BACKGROUND: Informing and evaluating malaria control efforts relies on knowledge of local transmission dynamics. Serological and molecular tools have demonstrated great sensitivity to quantify transmission intensity in low endemic settings where the sensitivity of traditional methods is limited. Filter paper blood spots are commonly used a source of both DNA and antibodies. To enhance the operational practicability of malaria surveys, a method is presented for combined DNA extraction and antibody elution. METHODS: Filter paper blood spots were collected as part of a large cross-sectional survey in the Kenyan highlands. DNA was extracted using a saponin/chelex method. The eluate of the first wash during the DNA extraction process was used for antibody detection and compared with previously validated antibody elution procedures. Antibody elution efficiency was assessed by total IgG ELISA for malaria antigens apical membrane antigen-1 (AMA-1) and merozoite-surface protein-1 (MSP-142). The sensitivity of nested 18S rRNA and cytochrome b PCR assays and the impact of doubling filter paper material for PCR sensitivity were determined. The distribution of cell material and antibodies throughout filter paper blood spots were examined using luminescent and fluorescent reporter assays. RESULTS: Antibody levels measured after the combined antibody/DNA extraction technique were strongly correlated to those measured after standard antibody elution (p < 0.0001). Antibody levels for both AMA-1 and MSP-142 were generally slightly lower (11.3-21.4%) but age-seroprevalence patterns were indistinguishable. The proportion of parasite positive samples ranged from 12.9% to 19.2% in the different PCR assays. Despite strong agreement between outcomes of different PCR assays, none of the assays detected all parasite-positive individuals. For all assays doubling filter paper material for DNA extraction increased sensitivity. The concentration of cell and antibody material was not homogenously distributed throughout blood spots. CONCLUSION: Combined DNA extraction and antibody elution is an operationally attractive approach for high throughput assessment of cumulative malaria exposure and current infection prevalence in endemic settings. Estimates of antibody prevalence are unaffected by the combined extraction and elution procedure. The choice of target gene and the amount and source of filter paper material for DNA extraction can have a marked impact on PCR sensitivity.

Do referral-management schemes reduce hospital outpatient attendances? Time-series evaluation of primary care referral management.

BACKGROUND: Ninety-one per cent of primary care trusts were using some form of referral management in 2009, although evidence for its effectiveness is limited. AIM: To assess the impact of three referral-management centres (RMCs) and two internal peer-review approaches to referral management on hospital outpatient attendance rates. DESIGN AND SETTING: A retrospective time-series analysis of 376 000 outpatient attendances over 3 years from 85 practices divided into five groups, with 714 000 registered patients in one English primary care trust. METHOD: The age-standardised GP-referred first outpatient monthly attendance rate was calculated for each group from April 2009 to March 2012. This was divided by the equivalent monthly England rate, to derive a rate ratio. Linear regression tested for association between the introduction of referral management and change in the outpatient attendance rate and rate ratio. Annual group budgets for referral management were obtained. RESULTS: Referral management was not associated with a reduction in the outpatient attendance rate in any group. There was a statistically significant increase in attendance rate in one group (a RMC), which had an increase of 1.05 attendances per 1000 persons per month (95% confidence interval = 0.46 to 1.64; attendance rate ratio increase of 0.07) after adjustment for autocorrelation. Mean annual budgets ranged from £0.55 to £6.23 per registered patient in 2011/2012. RMCs were more expensive (mean annual budget £5.18 per registered patient) than internal peer-review approaches (mean annual budget £0.97 per registered patient). CONCLUSION: Referral-management schemes did not reduce outpatient attendance rates. RMCs were more expensive than internal peer review.

The effect of spatial and temporal subsetting on Culex tarsalis abundance models--a design for sensible reduction of vector surveillance.

Early identification of increasing mosquito activity is critical to effective mosquito control, particularly when increasing host-seeking behavior may be associated with increased risk of mosquito-borne disease. In this paper, we analyzed the temporal abundance pattern of the West Nile Virus vector, Culex tarsalis, in Fort Collins, CO, using an autoregressive integrated moving average model. We determined that an autoregressive model order 5 with lagged minimum temperatures was best at describing the seasonal abundance of Cx. tarsalis. We then tested the effect of using both temporal and spatial subsets of the data to determine the effect of reduced sampling effort on abundance predictions. We found that, if reduced trapping is necessary due to limited resources, removal of the least productive 1/3 or 1/4 of the traps produced the least erroneous predictions of seasonality represented in the observed data. We show that this productivity-based subset scheme performs better than other sampling effort reductions in generating the best estimate of Cx. tarsalis abundance per trap-night.

The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system.

BACKGROUND: Maternal and perinatal mortality could be reduced if all women delivered in settings where skilled attendants could provide emergency obstetric care (EmOC) if complications arise. Research on determinants of skilled attendance at delivery has focussed on household and individual factors, neglecting the influence of the health service environment, in part due to a lack of suitable data. The aim of this study was to quantify the effects of distance to care and level of care on women's use of health facilities for delivery in rural Zambia, and to compare their population impact to that of other important determinants. METHODS AND FINDINGS: Using a geographic information system (GIS), we linked national household data from the Zambian Demographic and Health Survey 2007 with national facility data from the Zambian Health Facility Census 2005 and calculated straight-line distances. Health facilities were classified by whether they provided comprehensive EmOC (CEmOC), basic EmOC (BEmOC), or limited or substandard services. Multivariable multilevel logistic regression analyses were performed to investigate the influence of distance to care and level of care on place of delivery (facility or home) for 3,682 rural births, controlling for a wide range of confounders. Only a third of rural Zambian births occurred at a health facility, and half of all births were to mothers living more than 25 km from a facility of BEmOC standard or better. As distance to the closest health facility doubled, the odds of facility delivery decreased by 29% (95% CI, 14%-40%). Independently, each step increase in level of care led to 26% higher odds of facility delivery (95% CI, 7%-48%). The population impact of poor geographic access to EmOC was at least of similar magnitude as that of low maternal education, household poverty, or lack of female autonomy. CONCLUSIONS: Lack of geographic access to emergency obstetric care is a key factor explaining why most rural deliveries in Zambia still occur at home without skilled care. Addressing geographic and quality barriers is crucial to increase service use and to lower maternal and perinatal mortality. Linking datasets using GIS has great potential for future research and can help overcome the neglect of health system factors in research and policy. Please see later in the article for the Editors' Summary.

Costs of early detection systems for epidemic malaria in highland areas of Kenya and Uganda.

BACKGROUND: Malaria epidemics cause substantial morbidity and mortality in highland areas of Africa. The costs of detecting and controlling these epidemics have not been explored adequately in the past. This study presents the costs of establishing and running an early detection system (EDS) for epidemic malaria in four districts in the highlands of Kenya and Uganda. METHODS: An economic costing was carried out from the health service provider's perspective in both countries. Staff time for data entry and processing, as well as supervising and coordinating EDS activities at district and national levels was recorded and associated opportunity costs estimated. A threshold analysis was carried out to determine the number of DALYs or deaths that would need to be averted in order for the EDS to be considered cost-effective. RESULTS: The total costs of the EDS per district per year ranged between US$ 14,439 and 15,512. Salaries were identified as major cost-drivers, although their relative contribution to overall costs varied by country. Costs of relaying surveillance data between facilities and district offices (typically by hand) were also substantial. Data from Uganda indicated that 4% or more of overall costs could potentially be saved by switching to data transfer via mobile phones. Based on commonly used thresholds, 96 DALYs in Uganda and 103 DALYs in Kenya would need to be averted annually in each district for the EDS to be considered cost-effective. CONCLUSION: Results from this analysis suggest that EDS are likely to be cost-effective. Further studies that include the costs and effects of the health systems' reaction prompted by EDS will need to be undertaken in order to obtain comprehensive cost-effectiveness estimates.