Health insurance coverage and antenatal care services utilization in West Africa.

BACKGROUND: In recent decades, there has been a significant focus towards the improvement of maternal mortality indicators in low-and middle-income countries. Though progress has been made around the world, West Africa has maintained an elevated burden of diseases. One proposed solution to increasing access to primary care services is health insurance coverage. As limited evidence exists, we sought to understand the relationship between health insurance coverage and at least four antenatal care (ANC) visits in West Africa. METHODS: Demographic and Health Survey data from 10 West African countries were weighted, cleaned, and analysed. The total sample was 79,794 women aged 15 to 49 years old were considered for the analysis. Health insurance coverage was the explanatory variable, and the outcome variable was number of ANC visits. The data were analysed using binary logistic regression. The results were presented using crude and adjusted odds ratio (aOR) at 95% confidence interval. RESULTS: Approximately 86.73% of women who were covered by health insurance had four or more ANC visits, compared to 55.15% for women without insurance. In total, 56.91% of the total sample attended a minimum of four ANC visits. Women with health insurance coverage were more likely to make the minimum recommended number of ANC visits than their non-insured-peers (aOR [95% CI] =1.55 [1.37-1.73]). CONCLUSION: Health insurance is a significant determinant in accessing primary care services for pregnant women. Yet, very few in the region are covered by an insurance scheme. In the wake of the COVID-19 pandemic, policy makers should prioritize rapid solutions to provide primary care while setting the infrastructure for long-term and sustainable options such as publicly run health insurance schemes.

Demographic Disparity in Use of Telemedicine for Ambulatory General Surgical Consultation During the COVID-19 Pandemic: Analysis of the Initial Public Health Emergency and Second Phase Periods.

BACKGROUND: Surgical patients with limited digital literacy may experience reduced telemedicine access. We investigated racial/ethnic and socioeconomic disparities in telemedicine compared with in-person surgical consultation during the coronavirus disease 2019 (COVID-19) pandemic. STUDY DESIGN: Retrospective analysis of new visits within the Division of General & Gastrointestinal Surgery at an academic medical center occurring between March 24 through June 23, 2020 (Phase I, Massachusetts Public Health Emergency) and June 24 through December 31, 2020 (Phase II, relaxation of restrictions on healthcare operations) was performed. Visit modality (telemedicine/phone vs in-person) and demographic data were extracted. Bivariate analysis and multivariable logistic regression were performed to evaluate associations between patient characteristics and visit modality. RESULTS: During Phase I, 347 in-person and 638 virtual visits were completed. Multivariable modeling demonstrated no significant differences in virtual compared with in-person visit use across racial/ethnic or insurance groups. Among patients using virtual visits, Latinx patients were less likely to have video compared with audio-only visits than White patients (OR, 0.46; 95% CI 0.22-0.96). Black race and insurance type were not significant predictors of video use. During Phase II, 2,922 in-person and 1,001 virtual visits were completed. Multivariable modeling demonstrated that Black patients (OR, 1.52; 95% CI 1.12-2.06) were more likely to have virtual visits than White patients. No significant differences were observed across insurance types. Among patients using virtual visits, race/ethnicity and insurance type were not significant predictors of video use. CONCLUSION: Black patients used telemedicine platforms more often than White patients during the second phase of the COVID-19 pandemic. Virtual consultation may help increase access to surgical care among traditionally under-resourced populations.

The Impacts of the COVID-19 Pandemic on the Medical Expenditure Panel Survey.

The COVID-19 pandemic caused substantial disruptions in the field operations of all 3 major components of the Medical Expenditure Panel Survey (MEPS). The MEPS is widely used to study how policy changes and major shocks, such as the COVID-19 pandemic, affect insurance coverage, access, and preventive and other health care utilization and how these relate to population health. We describe how the MEPS program successfully responded to these challenges by reengineering field operations, including survey modes, to complete data collection and maintain data release schedules. The impact of the pandemic on response rates varied considerably across the MEPS. Investigations to date show little effect on the quality of data collected. However, lower response rates may reduce the statistical precision of some estimates. We also describe several enhancements made to the MEPS that will allow researchers to better understand the impact of the pandemic on US residents, employers, and the US health care system. (Am J Public Health. 2021;111(12):2157-2166. https://doi.org/10.2105/AJPH.2021.306534).

Telemedicine Use in Orthopaedic Surgery Varies by Race, Ethnicity, Primary Language, and Insurance Status.

BACKGROUND: Healthcare disparities are well documented across multiple subspecialties in orthopaedics. The widespread implementation of telemedicine risks worsening these disparities if not carefully executed, despite original assumptions that telemedicine improves overall access to care. Telemedicine also poses unique challenges such as potential language or technological barriers that may alter previously described patterns in orthopaedic disparities. QUESTIONS/PURPOSES: Are the proportions of patients who use telemedicine across orthopaedic services different among (1) racial and ethnic minorities, (2) non-English speakers, and (3) patients insured through Medicaid during a 10-week period after the implementation of telemedicine in our healthcare system compared with in-person visits during a similar time period in 2019? METHODS: This was a retrospective comparative study using electronic medical record data to compare new patients establishing orthopaedic care via outpatient telemedicine at two academic urban medical centers between March 2020 and May 2020 with new orthopaedic patients during the same 10-week period in 2019. A total of 11,056 patients were included for analysis, with 1760 in the virtual group and 9296 in the control group. Unadjusted analyses demonstrated patients in the virtual group were younger (median age 57 years versus 59 years; p < 0.001), but there were no differences with regard to gender (56% female versus 56% female; p = 0.66). We used self-reported race or ethnicity as our primary independent variable, with primary language and insurance status considered secondarily. Unadjusted and multivariable adjusted analyses were performed for our primary and secondary predictors using logistic regression. We also assessed interactions between race or ethnicity, primary language, and insurance type. RESULTS: After adjusting for age, gender, subspecialty, insurance, and median household income, we found that patients who were Hispanic (odds ratio 0.59 [95% confidence interval 0.39 to 0.91]; p = 0.02) or Asian were less likely (OR 0.73 [95% CI 0.53 to 0.99]; p = 0.04) to be seen through telemedicine than were patients who were white. After controlling for confounding variables, we also found that speakers of languages other than English or Spanish were less likely to have a telemedicine visit than were people whose primary language was English (OR 0.34 [95% CI 0.18 to 0.65]; p = 0.001), and that patients insured through Medicaid were less likely to be seen via telemedicine than were patients who were privately insured (OR 0.83 [95% CI 0.69 to 0.98]; p = 0.03). CONCLUSION: Despite initial promises that telemedicine would help to bridge gaps in healthcare, our results demonstrate disparities in orthopaedic telemedicine use based on race or ethnicity, language, and insurance type. The telemedicine group was slightly younger, which we do not believe undermines the findings. As healthcare moves toward increased telemedicine use, we suggest several approaches to ensure that patients of certain racial, ethnic, or language groups do not experience disparate barriers to care. These might include individual patient- or provider-level approaches like expanded telemedicine schedules to accommodate weekends and evenings, institutional investment in culturally conscious outreach materials such as advertisements on community transport systems, or government-level provisions such as reimbursement for telephone-only encounters. LEVEL OF EVIDENCE: Level III, therapeutic study.

Some Lives Matter: The Dirty Little Secret of the U.S. Health Care System.

Our health care system in the United States reflects the inequities that are part of the larger society, which is why our system for financing access to needed and effective health care is so complicated and unfair.

Association of Lower Socioeconomic Status and SARS-CoV-2 Positivity in Los Angeles, California.

OBJECTIVES: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spreads heterogeneously, disproportionately impacting poor and minority communities. The relationship between poverty and race is complex, with a diverse set of structural and systemic factors driving higher rates of poverty among minority populations. The factors that specifically contribute to the disproportionate rates of SARS-CoV-2 infection, however, are not clearly understood. METHODS: We evaluated SARS-CoV-2 test results from community-based testing sites in Los Angeles, California, between June and December, 2020. We used tester zip code data to link those results with United States Census report data on average annual household income, rates of healthcare coverage, and employment status by zip code. RESULTS: We analyzed 2 141 127 SARS-CoV-2 test results, of which 245 154 (11.4%) were positive. Multivariable modeling showed a higher likelihood of SARS-CoV-2 test positivity among Hispanic communities than among other races. We found an increased risk for SARS-CoV-2 positivity among individuals from zip codes with an average annual household income

The coronavirus disease 2019 (COVID-19) stay-at-home order's unequal effects on trauma volume by insurance status in Southern California.

BACKGROUND: The rapid spread of coronavirus disease 2019 in the United States led to a variety of mandates intended to decrease population movement and "flatten the curve." However, there is evidence some are not able to stay-at-home due to certain disadvantages, thus remaining exposed to both coronavirus disease 2019 and trauma. We therefore sought to identify any unequal effects of the California stay-at-home orders between races and insurance statuses in a multicenter study utilizing trauma volume data. METHODS: A posthoc multicenter retrospective analysis of trauma patients presenting to 11 centers in Southern California between the dates of January 1, 2020, and June 30, 2020, and January 1, 2019, and June 30, 2019, was performed. The number of trauma patients of each race/insurance status was tabulated per day. We then calculated the changes in trauma volume related to stay-at-home orders for each race/insurance status and compared the magnitude of these changes using statistical resampling. RESULTS: Compared to baseline, there was a 40.1% drop in total trauma volume, which occurred 20 days after stay-at-home orders. During stay-at-home orders, the average daily trauma volume of patients with Medicaid increased by 13.7 ± 5.3%, whereas the volume of those with Medicare, private insurance, and no insurance decreased. The average daily trauma volume decreased for White, Black, Asian, and Latino patients with the volume of Black and Latino patients dropping to a similar degree compared to White patients. CONCLUSION: This retrospective multicenter study demonstrated that patients with Medicaid had a paradoxical increase in trauma volume during stay-at-home orders, suggesting that the most impoverished groups remain disproportionately exposed to trauma during a pandemic, further exacerbating existing health disparities.

Breast cancer patients' insurance status and residence zip code correlate with early discontinuation of endocrine therapy: An analysis of the ECOG-ACRIN TAILORx trial.

BACKGROUND: Early discontinuation is a substantial barrier to the delivery of endocrine therapies (ETs) and may influence recurrence and survival. The authors investigated the association between early discontinuation of ET and social determinants of health, including insurance coverage and the neighborhood deprivation index (NDI), which was measured on the basis of patients' zip codes, in breast cancer. METHODS: In this retrospective analysis of a prospective randomized clinical trial (Trial Assigning Individualized Options for Treatment), women with hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer who started ET within a year of study entry were included. Early discontinuation was calculated as stopping ET within 4 years of its start for reasons other than distant recurrence or death via Kaplan-Meier estimates. A Cox proportional hazards joint model was used to analyze the association between early discontinuation of ET and factors such as the study-entry insurance and NDI, with adjustments made for other variables. RESULTS: Of the included 9475 women (mean age, 55.6 years; White race, 84%), 58.0% had private insurance, whereas 11.7% had Medicare, 5.8% had Medicaid, 3.8% were self-pay, and 19.1% were treated at international sites. The early discontinuation rate was 12.3%. Compared with those with private insurance, patients with Medicaid (hazard ratio [HR], 1.53; 95% confidence interval [CI], 1.23-1.92) and self-pay patients (HR, 1.65; 95% CI, 1.25-2.17) had higher early discontinuation. Participants with a first-quartile NDI (highest deprivation) had a higher probability of discontinuation than those with a fourth-quartile NDI (lowest deprivation; HR, 1.34; 95% CI, 1.11-1.62). CONCLUSIONS: Patients' insurance and zip code at study entry play roles in adherence to ET, with uninsured and underinsured patients having a high rate of treatment nonadherence. Early identification of patients at risk may improve adherence to therapy. LAY SUMMARY: In this retrospective analysis of 9475 women with breast cancer participating in a clinical trial (Trial Assigning Individualized Options for Treatment), Medicaid and self-pay patients (compared with those with private insurance) and those in the highest quartile of neighborhood deprivation scores (compared with those in the lowest quartile) had a higher probability of early discontinuation of endocrine therapy. These social determinants of health assume larger importance with the expected increase in unemployment rates and loss of insurance coverage in the aftermath of the coronavirus disease 2019 pandemic. Early identification of patients at risk and enrollment in insurance optimization programs may improve the persistence of therapy.

Social determinants of COVID-19 mortality at the county level.

As of August 2020, the United States is the global epicenter of the COVID-19 pandemic. Emerging data suggests that "essential" workers, who are disproportionately more likely to be racial/ethnic minorities and immigrants, bear a disproportionate degree of risk. We used publicly available data to build a series of spatial autoregressive models assessing county level associations between COVID-19 mortality and (1) percentage of individuals engaged in farm work, (2) percentage of households without a fluent, adult English-speaker, (3) percentage of uninsured individuals under the age of 65, and (4) percentage of individuals living at or below the federal poverty line. We further adjusted these models for total population, population density, and number of days since the first reported case in a given county. We found that across all counties that had reported a case of COVID-19 as of July 12, 2020 (n = 3024), a higher percentage of farmworkers, a higher percentage of residents living in poverty, higher density, higher population, and a higher percentage of residents over the age of 65 were all independently and significantly associated with a higher number of deaths in a county. In urban counties (n = 115), a higher percentage of farmworkers, higher density, and larger population were all associated with a higher number of deaths, while lower rates of insurance coverage in a county was independently associated with fewer deaths. In non-urban counties (n = 2909), these same patterns held true, with higher percentages of residents living in poverty and senior residents also significantly associated with more deaths. Taken together, our findings suggest that farm workers may face unique risks of contracting and dying from COVID-19, and that these risks are independent of poverty, insurance, or linguistic accessibility of COVID-19 health campaigns.

Health Benefits In 2020: Premiums In Employer-Sponsored Plans Grow 4 Percent; Employers Consider Responses To Pandemic.

The annual Kaiser Family Foundation Employer Health Benefits Survey is the benchmark survey of the cost and coverage of employer-sponsored health benefits in the United States. The 2020 survey was designed and largely fielded before the full extent of the coronavirus disease 2019 (COVID-19) pandemic had been felt by employers. Data collection took place from mid-January through July, with half of the interviews being completed in the first three months of the year. Most of the key metrics that we measure-including premiums and cost sharing-reflect employers' decisions made before the full impacts of the pandemic were felt. We found that in 2020 the average annual premium for single coverage rose 4 percent, to $7,470, and the average annual premium for family coverage also rose 4 percent, to $21,342. Covered workers, on average, contributed 17 percent of the cost for single coverage and 27 percent of the cost for family coverage. Fifty-six percent of firms offered health benefits to at least some of their workers, and 64 percent of workers were covered at their own firm. Many large employers reported having "very broad" provider networks, but many recognized that their largest plan had a narrower network for mental health providers.

Children's Health Insurance Coverage: Progress, Problems, And Priorities For 2021 And Beyond.

Expansion of Medicaid and establishment of the Children's Health Insurance Program (CHIP) represent a significant success story in the national effort to guarantee health insurance for children. That success is reflected in the high rates of coverage and health care access achieved for children, including those in low-income families. But significant coverage gaps remain-gaps that have been increasing since 2016 and are likely to accelerate with the coronavirus disease 2019 (COVID-19) pandemic and the associated recession. Using National Health Interview Survey data, we found that the proportion of uninsured children was 5.5 percent in 2018. Children continue to face coverage interruptions, and Latino, adolescent, and noncitizen children continue to face elevated risks of being uninsured. Although we note the benefits of a universal, federally financed, single-payer approach to coverage, we also offer two possible reform pathways that can take place within the current multipayer system, aimed at ensuring coverage, access, continuity, and comprehensiveness to move the nation closer to the goal of providing the health care that children need to reach their full potential and to reduce racial and economic inequalities.

Spreading Fear: The Announcement Of The Public Charge Rule Reduced Enrollment In Child Safety-Net Programs.

Safety-net programs improve health for low-income children over the short and long term. In September 2018 the Trump administration announced its intention to change the guidance on how to identify a potential "public charge," defined as a noncitizen primarily dependent on the government for subsistence. After this change, immigrants' applications for permanent residence could be denied for using a broader range of safety-net programs. We investigated whether the announced public charge rule affected the share of children enrolled in Medicaid, the Supplemental Nutrition Assistance Program, and the Special Supplemental Nutrition Program for Women, Infants, and Children, using county-level data. Results show that a 1-percentage-point increase in a county's noncitizen share was associated with a 0.1-percentage-point reduction in child Medicaid use. Applied nationwide, this implies a decline in coverage of 260,000 children. The public charge rule was adopted in February 2020, just before the coronavirus disease 2019 (COVID-19) pandemic began in the US. These results suggest that the Trump administration's public charge announcement could have led to many thousands of eligible, low-income children failing to receive safety-net support during a severe health and economic crisis.

On Pause for the Pandemic: Health Issues Sidelined Amid COVID-19 Response.

Any physician can look out over the COVID-19 landscape and see important areas of health care tied to their specialty that are being downplayed or ignored as resources pour into fighting the pandemic and scared patients chose not to come to their doctors' offices.