Evaluation of a novel approach to community health care delivery in Ifanadiana District, Madagascar.

Despite widespread adoption of community health (CH) systems, there are evidence gaps to support global best practice in remote settings where access to health care is limited and community health workers (CHWs) may be the only available providers. The nongovernmental health organization Pivot partnered with the Ministry of Public Health (MoPH) to pilot a new enhanced community health (ECH) model in rural Madagascar, where one CHW provided care at a stationary CH site while additional CHWs provided care via proactive household visits. The program included professionalization of the CHW workforce (i.e., targeted recruitment, extended training, financial compensation) and twice monthly supervision of CHWs. For the first eighteen months of implementation (October 2019-March 2021), we compared utilization and proxy measures of quality of care in the intervention commune (local administrative unit) and five comparison communes with strengthened community health programs under a different model. This allowed for a quasi-experimental study design of the impact of ECH on health outcomes using routinely collected programmatic data. Despite the substantial support provided to other CHWs, the results show statistically significant improvements in nearly every indicator. Sick child visits increased by more than 269.0% in the intervention following ECH implementation. Average per capita monthly under-five visits were 0.25 in the intervention commune and 0.19 in the comparison communes (p<0.01). In the intervention commune, 40.3% of visits were completed at the household via proactive care. CHWs completed all steps of the iCCM protocol in 85.4% of observed visits in the intervention commune (vs 57.7% in the comparison communes, p-value<0.01). This evaluation demonstrates that ECH can improve care access and the quality of service delivery in a rural health district. Further research is needed to assess the generalizability of results and the feasibility of national scale-up as the MoPH continues to define the national community health program.

Applying a zero-corrected, gravity model estimator reduces bias due to heterogeneity in healthcare utilization in community-scale, passive surveillance datasets of endemic diseases.

Data on population health are vital to evidence-based decision making but are rarely adequately localized or updated in continuous time. They also suffer from low ascertainment rates, particularly in rural areas where barriers to healthcare can cause infrequent touch points with the health system. Here, we demonstrate a novel statistical method to estimate the incidence of endemic diseases at the community level from passive surveillance data collected at primary health centers. The zero-corrected, gravity-model (ZERO-G) estimator explicitly models sampling intensity as a function of health facility characteristics and statistically accounts for extremely low rates of ascertainment. The result is a standardized, real-time estimate of disease incidence at a spatial resolution nearly ten times finer than typically reported by facility-based passive surveillance systems. We assessed the robustness of this method by applying it to a case study of field-collected malaria incidence rates from a rural health district in southeastern Madagascar. The ZERO-G estimator decreased geographic and financial bias in the dataset by over 90% and doubled the agreement rate between spatial patterns in malaria incidence and incidence estimates derived from prevalence surveys. The ZERO-G estimator is a promising method for adjusting passive surveillance data of common, endemic diseases, increasing the availability of continuously updated, high quality surveillance datasets at the community scale.

Morbidity and mortality burden of COVID-19 in rural Madagascar: results from a longitudinal cohort and nested seroprevalence study.

INTRODUCTION: Three years into the pandemic, there remains significant uncertainty about the true infection and mortality burden of COVID-19 in the World Health Organization Africa region. High quality, population-representative studies in Africa are rare and tend to be conducted in national capitals or large cities, leaving a substantial gap in our understanding of the impact of COVID-19 in rural, low-resource settings. Here, we estimated the spatio-temporal morbidity and mortality burden associated with COVID-19 in a rural health district of Madagascar until the first half of 2021. METHODS: We integrated a nested seroprevalence study within a pre-existing longitudinal cohort conducted in a representative sample of 1600 households in Ifanadiana District, Madagascar. Socio-demographic and health information was collected in combination with dried blood spots for about 6500 individuals of all ages, which were analysed to detect IgG and IgM antibodies against four specific proteins of SARS-CoV-2 in a bead-based multiplex immunoassay. We evaluated spatio-temporal patterns in COVID-19 infection history and its associations with several geographic, socio-economic and demographic factors via logistic regressions. RESULTS: Eighteen percent of people had been infected by April-June 2021, with seroprevalence increasing with individuals' age. COVID-19 primarily spread along the only paved road and in major towns during the first epidemic wave, subsequently spreading along secondary roads during the second wave to more remote areas. Wealthier individuals and those with occupations such as commerce and formal employment were at higher risk of being infected in the first wave. Adult mortality increased in 2020, particularly for older men for whom it nearly doubled up to nearly 40 deaths per 1000. Less than 10% of mortality in this period would be directly attributed to COVID-19 deaths if known infection fatality ratios are applied to observed seroprevalence in the district. CONCLUSION: Our study provides a very granular understanding on COVID-19 transmission and mortality in a rural population of sub-Saharan Africa and suggests that the disease burden in these areas may have been substantially underestimated.

Lessons from an eight-country community health data harmonization collaborative.

BACKGROUND: Community health workers (CHWs) are individuals who are trained and equipped to provide essential health services to their neighbors and have increased access to healthcare in communities worldwide for more than a century. However, the World Health Organization (WHO) Guideline on Health Policy and System Support to Optimize Community Health Worker Programmes reveals important gaps in the evidentiary certainty about which health system design practices lead to quality care. Routine data collection across countries represents an important, yet often untapped, opportunity for exploratory data analysis and comparative implementation science. However, epidemiological indicators must be harmonized and data pooled to better leverage and learn from routine data collection. METHODS: This article describes a data harmonization and pooling Collaborative led by the organizations of the Community Health Impact Coalition, a network of health practitioners delivering community-based healthcare in dozens of countries across four WHO regions. OBJECTIVES: The goals of the Collaborative project are to; (i) enable new opportunities for cross-site learning; (ii) use positive and negative outlier analysis to identify, test, and (if helpful) propagate design practices that lead to quality care; and (iii) create a multi-country 'brain trust' to reinforce data and health information systems across sites. RESULTS: This article outlines the rationale and methods used to establish a data harmonization and pooling Collaborative, early findings, lessons learned, and directions for future research.

Impact of health system strengthening on delivery strategies to improve child immunisation coverage and inequalities in rural Madagascar.

BACKGROUND: To reach global immunisation goals, national programmes need to balance routine immunisation at health facilities with vaccination campaigns and other outreach activities (eg, vaccination weeks), which boost coverage at particular times and help reduce geographical inequalities. However, where routine immunisation is weak, an over-reliance on vaccination campaigns may lead to heterogeneous coverage. Here, we assessed the impact of a health system strengthening (HSS) intervention on the relative contribution of routine immunisation and outreach activities to reach immunisation goals in rural Madagascar. METHODS: We obtained data from health centres in Ifanadiana district on the monthly number of recommended vaccines (BCG, measles, diphtheria, tetanus and pertussis (DTP) and polio) delivered to children, during 2014-2018. We also analysed data from a district-representative cohort carried out every 2 years in over 1500 households in 2014-2018. We compared changes inside and outside the HSS catchment in the delivery of recommended vaccines, population-level vaccination coverage, geographical and economic inequalities in coverage, and timeliness of vaccination. The impact of HSS was quantified via mixed-effects logistic regressions. RESULTS: The HSS intervention was associated with a significant increase in immunisation rates (OR between 1.22 for measles and 1.49 for DTP), which diminished over time. Outreach activities were associated with a doubling in immunisation rates, but their effect was smaller in the HSS catchment. Analysis of cohort data revealed that HSS was associated with higher vaccination coverage (OR between 1.18 per year of HSS for measles and 1.43 for BCG), a reduction in economic inequality, and a higher proportion of timely vaccinations. Yet, the lower contribution of outreach activities in the HSS catchment was associated with persistent inequalities in geographical coverage, which prevented achieving international coverage targets. CONCLUSION: Investment in stronger primary care systems can improve vaccination coverage, reduce inequalities and improve the timeliness of vaccination via increases in routine immunisations.

Geographic barriers to care persist at the community healthcare level: Evidence from rural Madagascar.

Geographic distance is a critical barrier to healthcare access, particularly for rural communities with poor transportation infrastructure who rely on non-motorized transportation. There is broad consensus on the importance of community health workers (CHWs) to reduce the effects of geographic isolation on healthcare access. Due to a lack of fine-scale spatial data and individual patient records, little is known about the precise effects of CHWs on removing geographic barriers at this level of the healthcare system. Relying on a high-quality, crowd-sourced dataset that includes all paths and buildings in the area, we explored the impact of geographic distance from CHWs on the use of CHW services for children under 5 years in the rural district of Ifanadiana, southeastern Madagascar from 2018-2021. We then used this analysis to determine key features of an optimal geographic design of the CHW system, specifically optimizing a single CHW location or installing additional CHW sites. We found that consultation rates by CHWs decreased with increasing distance patients travel to the CHW by approximately 28.1% per km. The optimization exercise revealed that the majority of CHW sites (50/80) were already in an optimal location or shared an optimal location with a primary health clinic. Relocating the remaining CHW sites based on a geographic optimum was predicted to increase consultation rates by only 7.4%. On the other hand, adding a second CHW site was predicted to increase consultation rates by 31.5%, with a larger effect in more geographically dispersed catchments. Geographic distance remains a barrier at the level of the CHW, but optimizing CHW site location based on geography alone will not result in large gains in consultation rates. Rather, alternative strategies, such as the creation of additional CHW sites or the implementation of proactive care, should be considered.

Geographic barriers to establishing a successful hospital referral system in rural Madagascar.

BACKGROUND: The provision of emergency and hospital care has become an integral part of the global vision for universal health coverage. To strengthen secondary care systems, we need to accurately understand the time necessary for populations to reach a hospital. The goal of this study was to develop methods that accurately estimate referral and prehospital time for rural districts in low and middle-income countries. We used these estimates to assess how local geography can limit the impact of a strengthened referral programme in a rural district of Madagascar. METHODS: We developed a database containing: travel speed by foot and motorised vehicles in Ifanadiana district; a full mapping of all roads, footpaths and households; and remotely sensed data on terrain, land cover and climatic characteristics. We used this information to calibrate estimates of referral and prehospital time based on the shortest route algorithms and statistical models of local travel speed. We predict the impact on referral numbers of strategies aimed at reducing referral time for underserved populations via generalised linear mixed models. RESULTS: About 10% of the population lived less than 2 hours from the hospital, and more than half lived over 4 hours away, with variable access depending on climatic conditions. Only the four health centres located near the paved road had referral times to the hospital within 1 hour. Referral time remained the main barrier limiting the number of referrals despite health system strengthening efforts. The addition of two new referral centres is estimated to triple the population living within 2 hours from a centre with better emergency care capacity and nearly double the number of expected referrals. CONCLUSION: This study demonstrates how adapting geographic accessibility modelling methods to local scales can occur through improving the precision of travel time estimates and pairing them with data on health facility use.

Integrating Health Systems and Science to Respond to COVID-19 in a Model District of Rural Madagascar.

There are many outstanding questions about how to control the global COVID-19 pandemic. The information void has been especially stark in the World Health Organization Africa Region, which has low per capita reported cases, low testing rates, low access to therapeutic drugs, and has the longest wait for vaccines. As with all disease, the central challenge in responding to COVID-19 is that it requires integrating complex health systems that incorporate prevention, testing, front line health care, and reliable data to inform policies and their implementation within a relevant timeframe. It requires that the population can rely on the health system, and decision-makers can rely on the data. To understand the process and challenges of such an integrated response in an under-resourced rural African setting, we present the COVID-19 strategy in Ifanadiana District, where a partnership between Malagasy Ministry of Public Health (MoPH) and non-governmental organizations integrates prevention, diagnosis, surveillance, and treatment, in the context of a model health system. These efforts touch every level of the health system in the district-community, primary care centers, hospital-including the establishment of the only RT-PCR lab for SARS-CoV-2 testing outside of the capital. Starting in March of 2021, a second wave of COVID-19 occurred in Madagascar, but there remain fewer cases in Ifanadiana than for many other diseases (e.g., malaria). At the Ifanadiana District Hospital, there have been two deaths that are officially attributed to COVID-19. Here, we describe the main components and challenges of this integrated response, the broad epidemiological contours of the epidemic, and how complex data sources can be developed to address many questions of COVID-19 science. Because of data limitations, it still remains unclear how this epidemic will affect rural areas of Madagascar and other developing countries where health system utilization is relatively low and there is limited capacity to diagnose and treat COVID-19 patients. Widespread population based seroprevalence studies are being implemented in Ifanadiana to inform the COVID-19 response strategy as health systems must simultaneously manage perennial and endemic disease threats.

Geographic barriers to achieving universal health coverage: evidence from rural Madagascar.

Poor geographic access can persist even when affordable and well-functioning health systems are in place, limiting efforts for universal health coverage (UHC). It is unclear how to balance support for health facilities and community health workers in UHC national strategies. The goal of this study was to evaluate how a health system strengthening (HSS) intervention aimed towards UHC affected the geographic access to primary care in a rural district of Madagascar. For this, we collected the fokontany of residence (lowest administrative unit) from nearly 300 000 outpatient consultations occurring in facilities of Ifanadiana district in 2014-2017 and in the subset of community sites supported by the HSS intervention. Distance from patients to facilities was accurately estimated following a full mapping of the district's footpaths and residential areas. We modelled per capita utilization for each fokontany through interrupted time-series analyses with control groups, accounting for non-linear relationships with distance and travel time among other factors, and we predicted facility utilization across the district under a scenario with and without HSS. Finally, we compared geographic trends in primary care when combining utilization at health facilities and community sites. We find that facility-based interventions similar to those in UHC strategies achieved high utilization rates of 1-3 consultations per person year only among populations living in close proximity to facilities. We predict that scaling only facility-based HSS programmes would result in large gaps in access, with over 75% of the population unable to reach one consultation per person year. Community health delivery, available only for children under 5 years, provided major improvements in service utilization regardless of their distance from facilities, contributing to 90% of primary care consultations in remote populations. Our results reveal the geographic limits of current UHC strategies and highlight the need to invest on professionalized community health programmes with larger scopes of service.

Compensation models for community health workers: Comparison of legal frameworks across five countries.

BACKGROUND: Despite the life-saving work they perform, community health workers (CHWs) have long been subject to global debate about their remuneration. There is now, however, an emerging consensus that CHWs should be paid. As the discussion evolves from whether to financially remunerate CHWs to how to do so, there is an urgent need to better understand the types of CHW payment models and their implications. METHODS: This study examines the legal framework on CHW compensation in five countries: Brazil, Ghana, Nigeria, Rwanda, and South Africa. In order to map the characteristics of each approach, a review of the regulatory framework governing CHW compensation in each country was undertaken. Law firms in each of the five countries were engaged to support the identification and interpretation of relevant legal documents. To guide the search and aid in the creation of uniform country profiles, a standardized set of questions was developed, covering: (i) legal requirements for CHW compensation, (ii) CHW compensation mechanisms, and (iii) CHW legal protections and benefits. RESULTS: The five countries profiled represent possible archetypes for CHW compensation: Brazil (public), Ghana (volunteer-based), Nigeria (private), Rwanda (cooperatives with performance based incentives) and South Africa (hybrid public/private). Advantages and disadvantages of each model with respect to (i) CHWs, in terms of financial protection, and (ii) the health system, in terms of ease of implementation, are outlined. CONCLUSIONS: While a strong legal framework does not necessarily translate into high-quality implementation of compensation practices, it is the first necessary step. Certain approaches to CHW compensation - particularly public-sector or models with public sector wage floors - best institutionalize recommended CHW protections. Political will and long-term financing often remain challenges; removing ecosystem barriers - such as multilateral and bilateral restrictions on the payment of salaries - can help governments institutionalize CHW payment.

District-level health system strengthening for universal health coverage: evidence from a longitudinal cohort study in rural Madagascar, 2014-2018.

INTRODUCTION: Despite renewed commitment to universal health coverage and health system strengthening (HSS) to improve access to primary care, there is insufficient evidence to guide their design and implementation. To address this, we conducted an impact evaluation of an ongoing HSS initiative in rural Madagascar, combining data from a longitudinal cohort and primary health centres. METHODS: We carried out a district representative household survey at the start of the HSS intervention in 2014 in over 1500 households in Ifanadiana district, and conducted follow-up surveys at 2 and 4 years. At each time point, we estimated maternal, newborn and child health coverage; economic and geographical inequalities in coverage; and child mortality rates; both in the HSS intervention and control catchments. We used logistic regression models to evaluate changes associated with exposure to the HSS intervention. We also estimated changes in health centre per capita utilisation during 2013 to 2018. RESULTS: Child mortality rates decreased faster in the HSS than in the control catchment. We observed significant improvements in care seeking for children under 5 years of age (OR 1.23; 95% CI 1.05 to 1.44) and individuals of all ages (OR 1.37, 95% CI 1.19 to 1.58), but no significant differences in maternal care coverage. Economic inequalities in most coverage indicators were reduced, while geographical inequalities worsened in nearly half of the indicators. CONCLUSION: The results demonstrate improvements in care seeking and economic inequalities linked to the early stages of a HSS intervention in rural Madagascar. Additional improvements in this context of persistent geographical inequalities will require a stronger focus on community health.

Networks of Care in Rural Madagascar for Achieving Universal Health Coverage in Ifanadiana District.

Health care is most effective when a patient's basic primary care needs are met as close to home as possible, with advanced care accessible when needed. In Ifanadiana District, Madagascar, a collaboration between the Ministry of Public Health (MoPH) and PIVOT, a non-governmental organization (NGO), fosters Networks of Care (NOC) to support high-quality, patient-centered care. The district's health system has three levels of care: community, health center, district hospital; a regional hospital is available for tertiary care services. We explore the MoPH/PIVOT collaboration through a case study which focuses on noteworthy elements of the collaboration across the four NOC domains: (I) agreement and enabling environment, (II) operational standards, (III) quality, efficiency, and responsibility, (IV) learning and adaptation. Under Domain I, we describe formal agreements between the MoPH and PIVOT and the process for engaging communities in creating effective NOC. Domain II discusses patient referral across levels of the health system and improvements to facility readiness and service availability. Under Domain III the collaboration prioritizes communication and supervision to support clinical quality, and social support for patients. Domain IV focuses on evaluation, research, and the use of data to modify programs to better meet community needs. The case study, organized by the domains of the NOC framework, demonstrates that a collaboration between the MoPH and an NGO can create effective NOC in a remote district with limited accessibility and advance the country's agenda to achieve universal health coverage.

Association Between Provider Engagement, Staff Engagement, and Culture of Safety.

As healthcare organizations seek to improve patient experience, quality, and safety, employee engagement and perceptions of patient safety (POPS) have increasingly become foci of attention. Yet, the relationship between these constructs is poorly understood. We examined the correlation between provider and staff engagement (collectively, "employee engagement"), and between employee engagement and POPS in ambulatory and hospital environments. We found significant correlations between staff engagement and POPS, and between provider engagement and POPS in ambulatory and hospital environments. We also found significant correlation between provider and staff engagement. Although all correlations were weak (correlation coefficients of 0.17-0.47), there were significant increases in POPS with increases in employee engagement (in both ambulatory and hospital environments) and increases in provider engagement with increases in staff engagement. These increases range from 4% to 11% for every 17% increase in staff engagement. These findings suggest that healthcare systems seeking to improve provider engagement, staff engagement, and POPS may find synergistic effects between these efforts in ambulatory and hospital settings.

Impact of a community-delivered parenting curriculum on perceived parenting stress and parent-reported outcomes in a low-income diverse population.

INTRODUCTION: There is a need for effective, strengths-based parenting supports for diverse parent populations. We conducted a quasi-experimental study to investigate whether a 12-week parenting program delivered in the community decreases perceived parenting stress and improves parent-reported outcomes. METHOD: Parents in the intervention group participated in Parenting Journey, a curriculum designed to increase resilience and support nurturing family relationships. Parents who were eligible for Parenting Journey but did not enroll were included in the concurrent comparison group. Participants completed the Parenting Stress Index and the Parenting Journey Survey at baseline and follow-up. We conducted bivariate and multivariate analyses to evaluate differences between groups. RESULTS: We enrolled 244 parents, 123 in the intervention group and 121 in the comparison group. The majority of participants in the intervention and comparison groups were female, identified as Black or Latino, and reported an annual household income of less than $20,000. At baseline, intervention participants reported higher total parenting stress than comparison participants (mean percentile 70.7 vs. 55.8, p = .002). At follow-up, intervention participants' mean total parenting stress score decreased by 14.1 points, while comparison participants' score increased by 3.0 points (difference-in-difference p < .0001). Intervention participants were significantly more likely to demonstrate improvement in 4 or more of the 7 constructs measured by the Parenting Journey Survey (adjusted OR = 2.2, 95% CI [1.2, 4.1], p = .01). DISCUSSION: Participation in Parenting Journey is associated with decreased perceived parenting stress and improvement in parent-reported outcomes. Future work should evaluate the longitudinal impact on parental mental health and child socioemotional development. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Does systemic antibiotic prophylaxis prior to the placement of totally implantable venous access devices reduce early infection? A retrospective study of 1,485 cases at a large academic institution.

BACKGROUND: To determine if ending the practice of administering prophylactic antibiotics prior to the placement of totally implantable venous access devices (TIVADs) is correlated with an increase in 30-day bloodstream infection-related TIVADs removals. METHODS: The practice of administering prophylactic antibiotics prior to the placement of TIVADs ended in July 2013 at our institution. We compiled a list of patients who had TIVADs placed between July 2010 and July 2016 and cross-referenced this list to a list of patients who had TIVADs removed between July 2010 and August 2016 to evaluate the 30-day bloodstream infection-related TIVAD removals. Retrospective chart review of all patients was performed to collect demographic information, indication for placement, and type of antibiotic administered, if applicable. RESULTS: Over the study period of 6 years, a total of 1,513 TIVADs were placed, of which 28 cases were excluded because of death within 30 days unrelated to TIVAD placement. Of the remaining 1,485 cases, 733 TIVADs were placed in 709 unique patients with prophylactic antibiotic treatment and 752 TIVADs were placed in 709 unique patients without treatment. A total of 8 patients were identified to have TIVADs removed within 30 days owing to infection, of which 4 patients were treated with prophylactic antibiotics. The odds of infection-related removals without prophylactic treatment compared with prophylactic treatment was 0.97 (95% confidence interval, 0.24-3.91; P = .97). CONCLUSIONS: Ending the practice of administrating systemic antibiotic prophylaxis prior to the placement of TIVADs had no effect on the 30-day bloodstream infection-related TIVAD removals rate at our institution. We do not recommend the use of prophylactic antibiotics for the placement of TIVAD.

Primary Care Behavioral Health Integration for Anxiety Management in a Safety-Net Health Care System.

This report describes the implementation of a primary care behavioral health integration program for anxiety management at Cambridge Health Alliance (CHA), a safety-net health care system. Using a staged implementation process, CHA built upon existing capacities to create a comprehensive infrastructure for managing behavioral health conditions in primary care.

Implications of Changing Public Charge Immigration Rules for Children Who Need Medical Care.

IMPORTANCE: In October 2018, the Trump administration published a proposed rule change that would increase the chance of an immigrant being deemed a "public charge" and thereby denied legal permanent residency or entry to the United States. The proposed changes are expected to cause many immigrant parents to disenroll their families from safety-net programs, in large part because of fear and confusion about the rule, even among families to whom the rule does not technically apply. OBJECTIVE: To simulate the potential harms of the rule change by estimating the number, medical conditions, and care needs of children who are at risk of losing their current benefits, including Medicaid and Children's Health Insurance Program (CHIP) and Supplemental Nutrition Assistance Program (SNAP). DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional study used nationally representative data from 4007 children 17 years of age or younger who participated in the 2015 Medical Expenditure Panel Survey to assess their potential risk of losing benefits because they live with a noncitizen adult. Statistical analysis was conducted from January 3 to April 8, 2019. MAIN OUTCOMES AND MEASURES: The number of children at risk of losing benefits; the number of children with medical need, defined as having a potentially serious medical diagnosis; being disabled (or functionally limited); or having received any specific treatment in the past year. The numbers of children who would be disenrolled under likely disenrollment scenarios drawn from research on immigrants before and after the 1996 welfare reform were estimated. RESULTS: A total of 8.3 million children who are currently enrolled in Medicaid and CHIP or receiving SNAP benefits are potentially at risk of disenrollment, of whom 5.5 million have specific medical needs, including 615 842 children with asthma, 53 728 children with epilepsy, 3658 children with cancer, and 583 700 children with disabilities or functional limitations. Nonetheless, among the population potentially at risk of disenrollment, medical need was less common than among other children receiving Medicaid and CHIP or SNAP (64.5%; 95% CI, 61.5%-67.4%; vs 76.0%; 95% CI, 73.9%-78.4%; P < .001). The proposed rule is likely to cause parents to disenroll between 0.8 million and 1.9 million children with specific medical needs from health and nutrition benefits. CONCLUSIONS AND RELEVANCE: The proposed public charge rule would likely cause millions of children to lose health and nutrition benefits, including many with specific medical needs that, if left untreated, may contribute to child deaths and future disability.

Care For America's Elderly And Disabled People Relies On Immigrant Labor.

As the US wrestles with immigration policy and caring for an aging population, data on immigrants' role as health care and long-term care workers can inform both debates. Previous studies have examined immigrants' role as health care and direct care workers (nursing, home health, and personal care aides) but not that of immigrants hired by private households or nonmedical facilities such as senior housing to assist elderly and disabled people or unauthorized immigrants' role in providing these services. Using nationally representative data, we found that in 2017 immigrants accounted for 18.2 percent of health care workers and 23.5 percent of formal and nonformal long-term care sector workers. More than one-quarter (27.5 percent) of direct care workers and 30.3 percent of nursing home housekeeping and maintenance workers were immigrants. Although legal noncitizen immigrants accounted for 5.2 percent of the US population, they made up 9.0 percent of direct care workers. Naturalized citizens, 6.8 percent of the US population, accounted for 13.9 percent of direct care workers. In light of the current and projected shortage of health care and direct care workers, our finding that immigrants fill a disproportionate share of such jobs suggests that policies curtailing immigration will likely compromise the availability of care for elderly and disabled Americans.

Immigrants Pay More In Private Insurance Premiums Than They Receive In Benefits.

As US policy makers tackle immigration reform, knowing whether immigrants are a burden on the nation's health care system can inform the debate. Previous studies have indicated that immigrants contribute more to Medicare than they receive in benefits but have not examined whether the roughly 50 percent of immigrants with private coverage provide a similar subsidy or even drain health care resources. Using nationally representative data, we found that immigrants accounted for 12.6 percent of premiums paid to private insurers in 2014, but only 9.1 percent of insurer expenditures. Immigrants' annual premiums exceeded their care expenditures by $1,123 per enrollee (for a total of $24.7 billion), which offsets a deficit of $163 per US-born enrollee. Their net subsidy persisted even after ten years of US residence. In 2008-14, the surplus premiums of immigrants totaled $174.4 billion. These findings suggest that policies curtailing immigration could reduce the numbers of "actuarially desirable" people with private insurance, thereby weakening the risk pool.

Impact of Medical Scribes in Primary Care on Productivity, Face-to-Face Time, and Patient Comfort.

BACKGROUND: Medical scribes are a clinical innovation increasingly being used in primary care. The impact of scribes in primary care remain unclear. We aimed to examine the impact of medical scribes on productivity, time spent facing the patient during the visit, and patient comfort with scribes in primary care. METHODS: We conducted a prospective observational pre-post study of 5 family and internal medicine-pediatrics physicians and their patients at an urban safety net health clinic. Medical scribes accompanied providers in the examination room and documented the clinical encounter. After an initial phase-in period, we added an additional 20-minute patient slot per 200-minute session. We examined productivity by using electronic medical record data on the number of patients seen and work relative value units (work RVUs) per hour. We directly observed clinical encounters to measure the amount of time providers spent facing patients and other visit components. We queried patient comfort with scribes by using surveys administered after the visit. RESULTS: Work RVUs per hour increased by 10.5% from 2.59 prescribe to 2.86 post-scribe (P < .001). Patients seen per hour increased by 8.8% from 1.82 to 1.98 (P < .001). Work RVUs per patient did not change. After scribe implementation, time spent facing the patient increased by 57% (P < .001) and time spent facing the computer decreased by 27% (P = .003). The proportion of the visit time that was spent face-to-face increased by 39% (P < .001). Most (69%) patients reported feeling very comfortable with the scribe in the room, while the proportion feeling very comfortable with the number of people in the room decreased from 93% to 66% (P < .001). CONCLUSIONS: Although the full implications of medical scribe implementation remain to be seen, this initial study highlights the promising opportunity of medical scribe implementation in primary care.