Worth the trip? The effect of hospital clinic closures for patients undergoing scheduled surgery.

Recent decades' hospital closures and consolidations have been rationalized with reference to arguments of efficiency and quality returns to scale and scope. However, closures are met with public outcry from patients living in areas affected by such closures if accompanying increases in travel time are not offset by a higher quality of care. It is broadly established that increases in patients' travel time to acute care lower the probability of survival, but in non-acute and scheduled care we lack knowledge about the quality of care that patients living in closure-affected areas receive. In the non-acute setting of scheduled breast cancer surgery, this study examines how hospital clinic closures affect the quality of care that closure-affected patients receive. The effects are identified using closures of breast cancer clinics in Denmark from 2000 to 2011, during which time the number of clinics was more than halved. Using event study designs on population-wide Danish register data from 1996 to 2014, this study examine changes in surgical outcomes for 9790 patients living in municipalities where the nearest clinic has been closed. The results show that closures have reduced the number of hospitalization days and shifted surgical procedures to state-of-the-art breast-conserving techniques without generating adverse health effects and without causing crowding in non-closing clinics. An examination of the mechanisms suggests that added volume returns at non-closing clinics were of less importance than simply reallocating patients to higher-quality clinics. Closures of clinics performing scheduled surgery may be an effective policy instrument if the goal is to reduce variation in the delivery of hospital care. Increased access to state-of-the-art care may counterbalance patients' concerns of losing their local clinic. However, if the clinics to be closed are small compared to non-closing clinics then there is no potential for added economies of scale or scope in non-closing clinics.

The bystander effect: Impact of rural hospital closures on the operations and financial well-being of surrounding healthcare institutions.

INTRODUCTION: There is presently a rural hospital shortage in the United States with 180 closures since 2005 and hundreds of institutions in financial peril. Although the hospital closure phenomenon is well-established, less is known about the spillover impact on the operations and financial wellbeing of surrounding hospitals. This preliminary study quantified how discrete rural hospital closures impact institutions in their regional proximity, finding a significant increase in inpatient admissions and emergency department visits for these "bystander hospitals". METHODS: Using a repository of rural hospital closures collected by the UNC Sheps Center for Health Services Research, we identified closures over the past 15 years. Criteria for inclusion were hospitals that had been fully closed between 2005-2016 and with >25-bed capacity. We then designated surrounding hospitals within a 30-mile radius of each closed hospital as "bystander hospitals." We examined the average rate-of-change for inpatient admissions and emergency department visits in surrounding hospitals both two years before and after relevant hospital closures. RESULTS: We identified 53 hospital closures and 93 bystander hospitals meeting our criteria during the study period. With respect to geographic distribution, 66% of closures were in the Southern US, including 21% in Appalachia. Average emergency department visits increased by 3.59% two years prior to a hospital's closure; however, at two years post-closure the average rate of increase rose to 10.22% (F (4,47) = 2.77, p = 0.0375). Average bystander hospital admissions fell by 5.73% in the two years preceding the hospital closure but increased 1.17% in the two years after (F (4,46) = 3.05, p = 0.0259). CONCLUSION: These findings predict a daunting future for rural healthcare. While previous literature has described the acute effects hospital closures have on communities, this study suggests a significant spillover effect on hospitals within the geographic region and a cyclical process at play in the rural healthcare sector. In the absence of significant public health assistance in regions affected by closures, poor health outcomes, including "diseases of despair," are likely to continue proliferating, disproportionately affecting the most vulnerable. In the COVID-19 era, it will be especially necessary to focus on hospital closures given increased risk of maintaining solvency due to delayed and deferred care atop already tight margins.

Risk of Closure Among Independent and Multihospital-Affiliated Rural Hospitals.

Importance: The increase in rural hospital closures has strained access to inpatient care in rural communities. It is important to understand the association between hospital system affiliation and access to care in these communities to inform policy on this issue. Objective: To examine the association between affiliation and rural hospital closure. Design Setting and Participants: This cohort study used survival models with a time-dependent variable for affiliation vs independent status to assess risk of closure among a national cohort of US rural hospitals from January 2007 through December 2019. Data analysis was conducted from March to October 2021. Hospital affiliations were identified from the American Hospital Association Annual Survey and Irving Levin Associates and closures from the University of North Carolina Sheps Center (Chapel Hill). Additional covariates came from the Healthcare Cost and Utilization Project State Inpatient Databases and other national sources. Exposures: Affiliation with another hospital or multihospital health system. Main Outcomes and Measures: Closure was the main outcome. The models included hospital, market, and utilization characteristics and were stratified by financial distress in 2007. Results: Among 2237 rural hospitals operating in 2007, 140 (6.3%) had closed by 2019. The proportion of rural hospitals that were independent decreased from 68.9% in 2007 to 47.0% in 2019; the proportion that were affiliated increased from 31.1% to 46.7%. Among financially distressed hospitals in 2007, affiliation was associated with lower risk of closure compared with being independent (adjusted hazard ratio [aHR], 0.49; 95% CI, 0.26-0.92). Conversely, among hospitals that were financially stable in 2007, affiliation was associated with higher risk of closure compared with being independent (aHR, 2.36; 95% CI, 1.20-4.62). For-profit ownership was also strongly associated with closure for hospitals that were financially stable in 2007 (aHR, 4.08; 95% CI, 1.86-8.97). Conclusions and Relevance: The results of this cohort study suggest that affiliations may be associated with lower risk of closure for some rural hospitals in financial distress. However, among initially financially stable hospitals, an increased risk of closure for hospitals associated with affiliation and proprietary ownership raises concerns about the association of affiliation with closures in some circumstances. Policy interventions to stabilize inpatient care in rural areas should account for these findings.

The Impact of Rural Hospital Closures and Health Service Restructuring on Provincial- and Community-Level Patterns of Hospital Admissions in New Brunswick.

In the early 2000s, the Province of New Brunswick, Canada, undertook health system restructuring, including closing some rural hospitals. We examined whether changes in geographic access to hospitals and primary care were associated with changes in patterns of hospital use. We described three measures of hospital use for ambulatory care sensitive conditions (ACSCs) among adults 75 years and younger annually during the period 2004-2013 overall, and at the community scale. We described spatial and temporal patterns in: age-standardized hospitalization rates, age-standardized incidence of hospital admissions, and rates of admissions via ambulance. Overall, rates and incidence of hospitalizations for ACSCs declined while admissions via ambulance remained largely unchanged. We observed considerable regional variation in rates between communities in 2004. This regional variation decreased over time, with rural areas demonstrating the sharpest declines. Changes in hospital service provision within individual communities had little impact on rates of ACSC admissions. Results were consistent across urban and rural communities and were robust to analyses that included older patients and those admitted for reasons other than ACSCs. Our results suggest that the restructuring and hospital closures did not result in substantial changes to regional patterns or rates of service use.

"It's not right": Nurse perspectives on rural hospital closures: A qualitative study.

OBJECTIVE(S): Despite providing lifesaving care, 106 rural hospitals have closed in the United States since 2010. Although the role of rural hospital nursing is central, limited information is available about closures from a nursing lens. The purpose was to describe rural hospital closure contributors, processes, and outcomes from the perspective of licensed rural nurses in a hospital during its closure. DESIGN: This cross-sectional study used a retrospective, qualitative design grounded in subjective epistemology. SAMPLE: Purposive, snowball sampling was used to recruit ten participants from two rural hospitals that closed in Texas between 2014-2015. Sample size was sufficient and comparable to prior rural nursing research. MEASUREMENTS: Between July 2020 and February 2021, participants completed online demographic questionnaires and semi-structured interviews. RESULTS: Thematic analysis yielded six themes and 16 subthemes. The themes are presented in three main components: pre-closure, closure process and dynamics, and closure impacts. According to nurses, pre-closure contextual factors can influence closure dynamics. Nurses also reported perceived long-term impacts after closure. CONCLUSION: Beyond financial explanations, community politics and organizational characteristics can contribute to rural closure processes and outcomes from the nursing lens. Policies are needed to address modifiable factors contributing to closures and to create sustainable rural care models.

Changes in economic outcomes before and after rural hospital closures in the United States: A difference-in-differences study.

OBJECTIVE: The objective of this study is to assess changes in local economic outcomes before and after rural hospital closures. DATA SOURCES: Rural hospital closures from January 1, 2005, to December 31, 2018, were obtained from the Sheps Center for Health Services Research. Economic outcomes from this same period were obtained from the Bureau of Labor Statistics, Bureau of Economic Analysis, Quarterly Workforce Indicators, U.S. Federal Reserve Economic Data, RAND Corporation state statistics database, U.S. Social Security Administration, and U.S. Census Bureau. DESIGN: Difference-in-differences study of 2094 rural counties. DATA COLLECTION/EXTRACTION: The primary exposure was county-level rural hospital closures. The primary outcomes were county-level unemployment rates; employment-population ratios; labor force participation-population ratios; per capita income; total jobs; health care sector jobs; disability program participation-population ratios; percent of the population with subprime credit scores; total filings for bankruptcies per 1000 population; and population size. PRINCIPAL FINDINGS: A total of 104 rural counties experienced a hospital closure, compared to 1990 rural counties that did not. Rural hospital closures were associated with significant reductions in health care sector employment (-13.8%; 95% CI: -22%, -5.6%; p < 0.001), but not with changes in any other economic measure. For unemployment rates, employment-population ratios, per capita income, disability program participation-population ratios, and total jobs, we found evidence of adverse trends preceding hospital closures. Findings were robust to adjusting for county-specific time trends, specifying exposure at the commuting zone-level, and using alternate definitions of rurality to define sample counties. CONCLUSION: With the exception of a decline in jobs within the health care sector, there was no association between rural hospital closures and county-level economic outcomes. Instead, economic conditions were already declining in counties experiencing closures compared to those that did not.

Association Between Medicaid Expansion And Closure Of Hospital-Based Obstetric Services.

Access to obstetric services has declined steadily during the past decade, driven by the closure of hospital-based obstetric units and of entire hospitals. A fundamental challenge to maintaining obstetric services is that they are frequently unprofitable for hospitals to operate, threatening hospital viability. Medicaid expansion has emerged as a possible remedy for obstetric service closure because it reduces uncompensated care and improves hospital finances. Using national hospital data from the period 2010-18, we assessed the relationship between Medicaid expansion and obstetric service closure in rural and urban communities. We found that expansion led to a large reduction in hospital closures; however, this effect was concentrated among hospitals that did not have obstetric units. Considering closure of obstetric units, we found that rural obstetric units were less likely to close immediately after expansion, but this effect faded within two years. Overall, our findings suggest that Medicaid expansion had little effect on the closure of obstetric services. Policies supporting access to obstetric care may need to directly address the financial challenges specific to this service line.

Towards a more efficient healthcare system: Opportunities and challenges caused by hospital closures amid the COVID-19 pandemic.

A substantial number of United States (U.S.) hospitals have closed in recent years. The trend of closures has accelerated during the COVID-19 pandemic, as hospitals have experienced financial hardship from reduced patient volume and elective surgery cases, as well as the thin financial margins for treating patients with COVID-19. This trend of hospital closures is concerning for patients, healthcare providers, and policymakers. In this current opinion piece, we first describe the challenges caused by hospital closures and discuss what policymakers should know based on the existing research. We then discuss unique opportunities for researchers to inform policymakers by conducting careful studies that can shed light on different implications, trade-offs, and consequences of various strategies that can be followed.

The economic effects of rural hospital closures.

OBJECTIVE: To provide an updated analysis of the economic effects of rural hospital closures. STUDY SETTING: Our study sample was national in scope and consisted of nonmetro counties from 2001 to 2018. STUDY DESIGN: We used a difference-in-differences study design to estimate the effect of a hospital closure on county income, population, unemployment, and size of the labor force. Specifically, we compared economic changes over time in nonmetro counties experiencing a hospital closure to changes in a control group of nonmetro counties over the same time period. We also leveraged insight from recent research to control for estimation bias due to heterogeneity in the closure effect over time or across groups defined by when closure was experienced. DATA EXTRACTION: Data on (adjusted gross) annual income (in real dollars), annual population size, and monthly unemployment rate and labor force size were sourced from the Internal Revenue Service, Census Bureau, and Bureau of Labor Statistics, respectively. We used data from the North Carolina Rural Health Research Program to identify counties that experienced a hospital closure. PRINCIPAL FINDINGS: Of the 1759 nonmetro counties in our study sample, 109 experienced a hospital closure during the study period. Relative to the nonclosure counterfactual, closures significantly decreased labor force size, on average, by 1.4% (95% CI: [-2.1%, -0.8%]). Results also suggest that Prospective Payment System (PPS) hospital closures significantly decreased population size, on average, by 1.1% (95% CI: [-1.7%, -0.5%]), relative to the nonclosure counterfactual. CONCLUSIONS: Our analysis suggests that rural hospital closures often have adverse effects on local economic outcomes. Importantly, the negative economic effects of closure appear to be strongest following Prospective Payment System hospital closures and attenuated when the closed hospital is converted to another type of health care facility, allowing for the continued provision of services other than inpatient care.

Rural Hospital Closures: Effects on Utilization and Medical Spending Among Commercially Insured Individuals.

BACKGROUND: Access to health care continues to be a challenge, especially in remote areas. Since 2013, 70 rural hospitals have closed in the United States further exacerbating barriers to health care access in rural areas. OBJECTIVE: The objective of this study is to identify the impact of rural hospital closures on total medical spending and utilization among the commercially insured rural population. RESEARCH DESIGN: We use a pre-post study design with a comparison group. Individual-level Texas commercial claims data in 2014-2019 were linked to the Centers for Medicare & Medicaid Services (CMS) Provider of Services Current Files, Area Health Resource File, and Census American Community Survey. We performed an event study to test for pre-trends. SUBJECTS: Analysis sample included commercially insured individuals 19-64 years of age residing in Texas. MEASURES: Total medical spending and counts of health care encounters. RESULTS: Individuals residing in rural Texas areas affected by a hospital closure experienced decreases in outpatient and emergency department (ED) utilization and no statistically significant changes in total medical spending relative to the unaffected individuals. Outpatient and ED utilization decreased by 0.133 (<0.1) and 0.015 (7<0.05) visits, respectively. Heterogeneity analysis showed that individuals residing in urban Texas experienced increases in total medical spending by $12.2 per month (<0.01) as well as individual spending subcategories. CONCLUSIONS: Rural hospital closures led to significant decreases in outpatient and ED utilization while having no effect on health care spending. Close attention must be paid to rural hospital closures to ensure equitable health care access, especially for underserved populations.

[Telemedicine and epilepsy: healthcare experience of a national reference center during the COVID-19 pandemic]. / Telemedicina y epilepsia: experiencia asistencial de un centro de referencia nacional durante la pandemia de COVID-19.

INTRODUCTION: Countries worldwide are having to cope with the COVID-19 pandemic caused by SARS-CoV-2. The burden on their national health systems is currently at unprecedented levels. Telemedicine care was initiated at an early stage in our centre. PATIENTS AND METHODS: We conducted a descriptive and retrospective study to evaluate the usefulness of telemedicine during lockdown in our centre. Patients included in the study had a clinical diagnosis of epilepsy, with two visits via telemedicine, who had been followed up for at least six months during the normal situation prior to the COVID-19 pandemic and two face-to-face consultations during the same period. RESULTS: A total of 115 patients were included. The average age was 29 years, 53% were males, 52.2% had focal epilepsy, 58.3% with a structural causation and 57.4% had difficult-to-treat epilepsy. The mean number of seizures prior to lockdown was 9.73/month and 6.54/month during lockdown. The number of patients who were seizure-free when lockdown ended was higher than that observed in the phase before it began: 54 versus 45 out of 115. CONCLUSIONS: Telemedicine is a very useful strategy for monitoring the course, progress and therapeutic changes in epileptic patients in the short and medium term. The reduction in the seizure frequency can be sustained in the medium term, not only in the short term as corroborated in previous studies. Telemedicine allows access to virtually all patients and closer monitoring.

TITLE: Telemedicina y epilepsia: experiencia asistencial de un centro de referencia nacional durante la pandemia de COVID-19.Introducción. El mundo entero está afrontando la pandemia por COVID-19 causada por el SARS-CoV-2. Los sistemas de salud nacionales están sometidos a niveles de sobrecarga sin precedentes. En nuestro centro se inició de forma temprana la asistencia a través de telemedicina. Pacientes y métodos. Es un estudio descriptivo y retrospectivo para evaluar la utilidad de la telemedicina durante el confinamiento en nuestro centro. Se incluyó a los pacientes con diagnóstico clínico de epilepsia, con dos asistencias a través de telemedicina, que tuvieran seguimiento durante al menos seis meses durante la situación de normalidad previa a la pandemia por COVID-19 y dos consultas presenciales durante ese mismo período. Resultados. Se incluyó a 115 pacientes. La media de edad fue de 29 años, el 53% fueron varones, el 52,2% con epilepsia focal, el 58,3% de etiología estructural y el 57,4% presentaba epilepsia de difícil control. La media de crisis preconfinamiento fue de 9,73/mes y de 6,54/mes durante el confinamiento. El número de pacientes libres de crisis fue mayor al final del confinamiento respecto a la fase preconfinamiento, 54 frente a 45/115. Conclusiones. La telemedicina es una estrategia de mucha utilidad en la monitorización de la evolución, el control evolutivo y los cambios terapéuticos en pacientes epilépticos a corto y medio plazo. La reducción de la frecuencia de crisis puede mantenerse a medio plazo, no sólo a corto plazo como se corroboró en estudios previos. La telemedicina permite acceder a prácticamente la totalidad de los pacientes y realizar un seguimiento más cercano.

Impact of closure of the in-house psychiatric care unit on prehospital and emergency ward length of stay and disposition locations in patients who attempted suicide: A retrospective before-and-after cohort study at a community hospital in Japan.

ABSTRACT: Suicide is an increasingly serious public health care concern worldwide. The impact of decreased in-house psychiatric resources on emergency care for suicidal patients has not been thoroughly examined. We evaluated the effects of closing an in-hospital psychiatric ward on the prehospital and emergency ward length of stay (LOS) and disposition location in patients who attempted suicide.This was a retrospective before-and-after study at a community emergency department (ED) in Japan. On March 31, 2014, the hospital closed its 50 psychiatric ward beds and outpatient consultation days were decreased from 5 to 2 days per week. Electronic health record data of suicidal patients who were brought to the ED were collected for 5 years before the decrease in in-hospital psychiatric services (April 1, 2009-March 31, 2014) and 5 years after the decrease (April 1, 2014-March 31, 2019). One-to-one propensity score matching was performed to compare prehospital and emergency ward LOS, and discharge location between the 2 groups.Of the 1083 eligible patients, 449 (41.5%) were brought to the ED after the closure of the psychiatric ward. Patients with older age, burns, and higher comorbidity index values, and those requiring endotracheal intubation, surgery, and emergency ward admission, were more likely to receive ED care after the psychiatric ward closure. In the propensity matched analysis with 418 pairs, the after-closure group showed a significant increase in median prehospital LOS (44.0 minutes vs 51.0 minutes, P < .001) and emergency ward LOS (3.0 days vs 4.0 days, P = .014) compared with the before-closure group. The rate of direct home return was significantly lower in the after-closure group compared with the before-closure group (87.1% vs 81.6%, odds ratio: 0.66; 95% confidence interval: 0.45-0.96).The prehospital and emergency ward LOS for patients who attempted suicide in the study site increased significantly after a decrease in hospital-based mental health services. Conversely, there was significant reduction in direct home discharge after the decrease in in-house psychiatric care. These results have important implications for future policy to address the increasing care needs of patients who attempt suicide.

Relationship between rural hospital closures and the supply of nurse practitioners and certified registered nurse anesthetists.

BACKGROUND: Reductions in primary care and specialist physicians follow rural hospital closures. As the supply of physicians declines, rural healthcare systems increasingly rely on nurse practitioners (NPs) and certified registered nurse anesthetists (CRNAs) to deliver care. PURPOSE: We sought to examine the extent to which rural hospital closures are associated with changes in the NP and CRNA workforce. METHOD: Using Area Health Resources Files (AHRF) data from 2010-2017, we used an event-study design to estimate the relationship between rural hospital closures and changes in the supply of NPs and CRNAs. FINDINGS: Among 1,544 rural counties, we observed 151 hospital closures. After controlling for local market characteristics, we did not find a significant relationship between hospital closure and the supply of NPs and CRNAs. DISCUSSION: We do not find evidence that NPs and CRNAs respond to rural hospital closures by leaving the healthcare market.

Access to outpatient services in rural communities changes after hospital closure.

OBJECTIVE: Between January 2005 and July 2020, 171 rural hospitals closed across the United States. Little is known about the extent that other providers step in to fill the potential reduction in access from a rural hospital closure. The objective of this analysis is to evaluate the trends of Federally Qualified Health Centers (FQHCs) and Rural Health Clinics (RHCs) in rural areas prior to and following hospital closure. DATA SOURCES/STUDY SETTING: We used publicly available data from Centers for Medicare and Medicaid Provider of Services files, Cecil G. Sheps Center rural hospital closures list, and Small Area Income and Poverty Estimates. STUDY DESIGN: We described the trends over time in the number of hospitals, hospital closures, FQHC sites, and RHCs in rural and urban ZIP codes, 2006-2018. We used two-way fixed effects and pooled generalized linear models with a logit link to estimate the probabilities of having any RHC and any FQHC within 10 straight-line miles. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: Compared to hospitals that never closed, the predicted probability of having any FQHC within 10 miles increased post closure by 5.95 and 11.57 percentage points at 1 year and 5 years, respectively (p < 0.05). The predicted probability of having any RHC within 10 miles was not significantly different following rural hospital closure. A percentage point increase in poverty rate was associated with a 1.98 and a 1.29 percentage point increase in probabilities of having an FQHC or RHC, respectively (p < 0.001). CONCLUSIONS: In areas previously served by a rural hospital, there is a higher probability of new FQHC service-delivery sites post closure. This suggests that some of the potential reductions in access to essential preventive and diagnostic services may be filled by FQHCs. However, many rural communities may have a persistent unmet need for preventive and therapeutic care.

First Into the Lifeboats: Protecting Medical Student Education During the Hahnemann University Hospital Closure.

The announcement of the closure of Philadelphia's Hahnemann University Hospital in June 2019 sent shock waves through the academic community. The closure had a devastating impact on the residents and fellows who trained there, the patients who had long received their care there, and faculty and staff who had provided care there for decades. Since its beginnings, the hospital, established as part of Hahnemann Medical College in 1885, was a major site for medical student education. The authors share the planning before and actions during the crisis that protected the educational experiences of third- and fourth-year medical students at Drexel University College of Medicine assigned to Hahnemann University Hospital. The lessons they learned can be helpful to leadership in academic health systems in the United States facing a diminishing number of clinical training sites for medical and other health professions students, a situation that is likely to worsen as the COVID-19 pandemic continues to weaken the health care ecosystem.

Impact of temporary closures of emergency departments during the COVID-19 outbreak on clinical outcomes for emergency patients in a metropolitan area.

BACKGROUND: During the early phase of the coronavirus disease 2019 (COVID-19) outbreak, many emergency departments (EDs) were exposed to COVID-19 and were temporarily closed according to national protocol of Korea. We aimed to evaluate the effect of concurrent and recurrent temporary closures of EDs on the clinical outcomes of patients who visited EDs during the COVID-19 outbreak. METHODS: This cross-sectional study used a nationwide emergency patient database. Patients who visited one of the 46 EDs in Daegu and Gyeongbuk between January 21 and April 14, 2020 were included. The main exposure variable was the first medical contact (ED visit or 119 call to emergency medical services (EMS)) during closure of at least one ED. There were 25 temporary closures of six Level-1 and Level-2 EDs between February 18 and March 17, 2020. We constructed a dataset by performing bidirectional crossover matching and conducted a conditional logistic regression analysis where the primary outcome was in-hospital mortality. RESULTS: Of the 94,360 eligible study participants, 36,327 were classified into the non-EMS-use group and 10,116 were classified into the EMS-use group. In-hospital mortality rates were 2.0% and 1.6% for the temporary-closure and no-closure groups in the non-EMS-use group (p-value, 0.03) and 8.7% and 7.4% in the EMS-use group (p-value, 0.02), respectively. In the conditional logistic analysis for in-hospital mortality, the odds ratios (95% confidence intervals) of the temporary-closure group compared the no-closure group were 1.22 (1.03-1.44) among the non-EMS-use group and 1.23 (1.04-1.46) among the EMS-use group. CONCLUSION: The temporary closures of EDs due to the unpredicted COVID-19 exposure resulted in an increase in emergency patients' in-hospital mortality rates irrespective of whether they used EMS. Preparing regional EMS systems to cope with new outbreaks is essential to protect the safety of all citizens.

Right Under Our Noses: Nursing Homes and COVID-19.

A medical mission volunteer bears witness to nightmarish inequalities.