A contextual exploration of healthcare service use in urban slums in Nigeria.

INTRODUCTION: Many urban residents in low- and middle-income countries live in unfavorable conditions with few healthcare facilities, calling to question the long-held view of urban advantage in health, healthcare access and utilization. We explore the patterns of healthcare utilization in these deprived neighborhoods by studying three such settlements in Nigeria. METHODS: The study was conducted in three slums in Southwestern Nigeria, categorized as migrant, indigenous or cosmopolitan, based on their characteristics. Using observational data of those who needed healthcare and used in-patient or out-patient services in the 12 months preceding the survey, frequencies, percentages and odds-ratios were used to show the study participants' environmental and population characteristics, relative to their patterns of healthcare use. RESULTS: A total of 1,634 residents from the three slums participated, distributed as 763 (migrant), 459 (indigenous) and 412 (cosmopolitan). Residents from the migrant (OR = 0.70, 95%CI: 0.51 to 0.97) and indigenous (OR = 0.65, 95%CI: 0.45 to 0.93) slums were less likely to have used formal healthcare facilities than those from the cosmopolitan slum. Slum residents were more likely to use formal healthcare facilities for maternal and perinatal conditions, and generalized pains, than for communicable (OR = 0.50, 95%CI: 0.34 to 0.72) and non-communicable diseases (OR = 0.61, 95%CI: 0.41 to 0.91). The unemployed had higher odds (OR = 1.45, 95%CI: 1.08 to 1.93) of using formal healthcare facilities than those currently employed. CONCLUSION: The cosmopolitan slum, situated in a major financial center and national economic hub, had a higher proportion of formal healthcare facility usage than the migrant and indigenous slums where about half of families were classified as poor. The urban advantage premise and Anderson behavioral model remain a practical explanatory framework, although they may not explain healthcare use in all possible slum types in Africa. A context-within-context approach is important for addressing healthcare utilization challenges in slums in sub-Saharan Africa.

Labour market marginalisation in young refugees and their majority peers in Denmark and Sweden: The role of common mental disorders and secondary school completion.

BACKGROUND: Due to the circumstances of their early lives, young refugees are at risk of experiencing adverse labour market and health outcomes. The post-settlement environment is thought to play a decisive role in determining how this vulnerability plays out. This study compared trends in labour market marginalisation in young refugees and their majority peers during early adulthood in two national contexts, Denmark and Sweden, and explored the mediating role of common mental disorders and secondary school completions. METHODS: Using registry data, 13,390/45,687 refugees were included in Denmark/Sweden and 1:5 matched to majority peers. Inequalities in labour market marginalisation were investigated during 2012-2015 in each country using linear probability models and mediation analysis. Country trends were standardised to account for differences in observed population characteristics. RESULTS: The risk of marginalisation was 2.1-2.3 times higher among young refugees compared with their majority peers, but the risk decreased with age in Sweden and increased in Denmark for refugees. Birth-cohort differences drove the increase in Denmark, while trends were consistent across birth-cohorts in Sweden. Differences in population characteristics did not contribute to country differences. Common mental disorders did not mediate the inequality in either country, but secondary school completions did (77-85% of associations eliminated). CONCLUSIONS: The findings document both the vulnerability of young refugees to labour market marginalisation and the variability in this vulnerability across post-settlement contexts. While the contrast in policy climates in Denmark and Sweden sharpened over time, the risk of marginalisation appeared more similar in younger cohorts, pointing to the importance of factors other than national immigration and integration policies. Institutional efforts to assist young refugees through secondary education are likely to have long-lasting consequences for their socio-economic trajectories.

Emergency unemployment benefits and health care spending during Covid.

OBJECTIVE: To estimate the impact of the $600 per week Federal Pandemic Unemployment Compensation (FPUC) payments on health care services spending during the Covid pandemic and to investigate if this impact varied by state Medicaid expansion status. DATA SOURCES: This study leverages novel, publicly available data from Opportunity Insights capturing consumer credit and debit card spending on health care services for January 18-August 15, 2020 as well as information on unemployment insurance claims, Covid cases, and state policy changes. STUDY DESIGN: Using triple-differences estimation, we leverage two sources of variation-within-state change in the unemployment insurance claims rate and the introduction of FPUC payments-to estimate the moderating effect of FPUC on health care spending losses as unemployment rises. Results are stratified by state Medicaid expansion status. EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: For each percentage point increase in the unemployment insurance claims rate, health care spending declined by 1.0% (<0.05) in Medicaid expansion states and by 2.0% (<0.01) in nonexpansion states. However, FPUC partially mitigated this association, boosting spending by 0.8% (<0.001) and 1.3% (<0.05) in Medicaid expansion and nonexpansion states, respectively, for every percentage point increase in the unemployment insurance claims rate. CONCLUSIONS: We find that FPUC bolstered health care spending during the Covid pandemic, but that both the negative consequences of unemployment and moderating effects of federal income supports were greatest in states that did not adopt Medicaid expansion. These results indicate that emergency federal spending helped to sustain health care spending during a period of rising unemployment. Yet, the effectiveness of this program also suggests possible unmet demand for health care services, particularly in states that did not adopt Medicaid expansion.

Adherence to Urgent Eye Visits during the COVID-19 Pandemic: A Population Characteristics Study.

PURPOSE: To explore individual and community factors associated with adherence to physician recommended urgent eye visits via a tele-triage system during the COVID-19 pandemic. METHOD: We retrospectively reviewed acute visit requests and medical exam data between April 6, 2020 and June 6, 2020. Patient demographics and adherence to visit were examined. Census tract level community characteristics from the U.S. Census Bureau and zip code level COVID-19 related death data from the Cook County Medical Examiner's Office were appended to each geocoded patient address. Descriptive statistics, t-tests, and logistic regression analyses were performed to explore the effects of individual and community variables on adherence to visit. RESULTS: Of 229 patients recommended an urgent visit, 216 had matching criteria on chart review, and 192 (88.9%) adhered to their visit. No difference in adherence was found based on individual characteristics including: age (p = .24), gender (p = .94), race (p = .56), insurance (p = .28), nor new versus established patient status (p = .20). However, individuals who did not adhere were more likely to reside in neighborhoods with a greater proportion of Blacks (59.4% vs. 33.4%; p = .03), greater unemployment rates (17.5% vs. 10.7%; p < .01), and greater cumulative deaths from COVID-19 (56 vs. 31; p = .01). Unemployment rate continued to be statistically significant after controlling for race and cumulative deaths from COVID-19 (p = .04). CONCLUSION: We found that as community unemployment rate increases, adherence to urgent eye visits decreases, after controlling for relevant neighborhood characteristics. Unemployment rates were highest in predominantly Black neighborhoods early in the pandemic, which may have contributed to existing racial disparities in eye care.

People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors.

This study provides the first representative analysis of error estimations and willingness to accept errors in a Western country (Germany) with regards to algorithmic decision-making systems (ADM). We examine people's expectations about the accuracy of algorithms that predict credit default, recidivism of an offender, suitability of a job applicant, and health behavior. Also, we ask whether expectations about algorithm errors vary between these domains and how they differ from expectations about errors made by human experts. In a nationwide representative study (N = 3086) we find that most respondents underestimated the actual errors made by algorithms and are willing to accept even fewer errors than estimated. Error estimates and error acceptance did not differ consistently for predictions made by algorithms or human experts, but people's living conditions (e.g. unemployment, household income) affected domain-specific acceptance (job suitability, credit defaulting) of misses and false alarms. We conclude that people have unwarranted expectations about the performance of ADM systems and evaluate errors in terms of potential personal consequences. Given the general public's low willingness to accept errors, we further conclude that acceptance of ADM appears to be conditional to strict accuracy requirements.

Unemployment, Bankruptcies, and Deaths From Multiple Causes in the COVID-19 Recession Compared With the 2000‒2018 Great Recession Impact.

Objectives. To determine whether unemployment and bankruptcy rates are related to increased excess deaths during the COVID-19 recession and to examine whether the current recession-based mortality rate not only is dependent on COVID-19 but also continues the pattern of recessions, especially the Great Recession, in relation to chronic disease mortality rates and mental health disturbances (e.g., including suicide) from 2000 to 2018. Methods. This study used pooled cross-sectional time series analysis to determine the impact of unemployment and bankruptcy rates on excess deaths from February to November 2020 for US states. The study used a second pooled cross-sectional time series analysis to determine whether the COVID-19‒ era recessional mortality continues the impact of prepandemic recessions (2000-2018) on multiple causes of mortality. Results. Ten percent unemployment was associated with approximately 48[thin space]149 excess deaths, while, jointly with bankruptcies, their combined effect produced 35 700 and 144 483 excess deaths, for unemployment and bankruptcies, respectively. These health-damaging COVID-19‒recessional findings suggest a reiteration of the significantly increased major cause‒specific mortality during 2000 to 2018, mitigated by the size of the health care workforce. Conclusions. Minimization of deaths attributable to the COVID-19 recession requires ample funding for the unemployed and underemployed, especially Black and Hispanic communities, along with significant investments in the health workforce. (Am J Public Health. 2021;111(11):1950-1959. https://doi.org/10.2105/AJPH.2021.306490).

Cross-Sector Monitoring and Evaluation Framework: Social, Economic, and Health Conditions Impacted During the COVID-19 Pandemic.

Public Health 3.0 approaches are critical for monitoring disparities in economic, social, and overall health impacts following the COVID-19 pandemic and its associated policy changes to slow community spread. Timely, cross-sector data as identified using this approach help decisionmakers identify changes, track racial disparities, and address unintended consequences during a pandemic. We applied a monitoring and evaluation framework that combined policy changes with timely, relevant cross-sector data and community review. Indicators covered unemployment, basic needs, family violence, education, childcare, access to health care, and mental, physical, and behavioral health. In response to increasing COVID-19 cases, nonpharmaceutical intervention strategies were implemented in March 2020 in King County, Washington. By December 2020, 554 000 unemployment claims were filed. Social service calls increased 100%, behavioral health crisis calls increased 25%, and domestic violence calls increased 25%, with disproportionate impact on communities of color. This framework can be replicated by local jurisdictions to inform and address racial inequities in ongoing COVID-19 mitigation and recovery. Cross-sector collaboration between public health and sectors addressing the social determinants of health are an essential first step to have an impact on long-standing racial inequities. (Am J Public Health. 2021;111(S3):S215-S223. https://doi.org/10.2105/AJPH.2021.306422).

Health related quality of life (HRQOL) of patients with End Stage Kidney Disease (ESKD) on hemodialysis in Addis Ababa, Ethiopia: a cross-sectional study.

BACKGROUND: End-Stage Kidney Disease, the most severe form of chronic kidney disease, is fatal if not treated by renal replacement therapy. Thus, patients with End-Stage Kidney Disease depend on hemodialysis as a lifesaving treatment for the remainder of their lives. However, the health-related quality of life (HRQOL) of patients on hemodialysis is much more underappreciated in resource limited countries. METHODS: A hospital based cross-sectional study was conducted in Addis Ababa, Ethiopia, from August 01 to October 31, 2019. All patients who were on hemodialysis in five randomly selected public and private hospitals (n = 125) were included in the study. Data were administered by trained nurses by using a standardized Kidney Disease Quality of Life questionnaire. Clinical data were extracted from the patients' medical charts. HRQOL was categorized as low, if the overall mean score was ≤ 50, or as high, if the overall mean score was > 50. Factors associated with lower HRQOL were identified by multi-variable binary logistic regression analysis and expressed by adjusted odds ratio (aOR) and its respective 95 % confidence interval. RESULTS: The mean age of the study participants (n = 125) was 50.33 years (± 15.07) and more than two-thirds (68.8 %) of the participants were males. The mean score of HRQOL was 49.08 ± 11.09, with 48.0 % (95 % CI: 42.2 - 54.5 %) of them had lower HRQOL. Unemployed patients (aOR = 2.40, 95 % CI: 1.10-5.90) and patients who had hemodialysis 2 times per week (aOR = 1.71, 95 % CI: 1.07-3.83) had lower HRQOL. Elderly patients had higher odds of having lower mean score on the burden of kidney disease (aOR = 2.07; 95 % CI 1.18-4.13) as compared to the younger patients. CONCLUSIONS: Nearly half of the patients with ESKD on hemodialysis had lower overall HRQOL which is associated with their unemployment status and frequency of hemodialysis per week. Elderly patients had lower mean score of burden of kidney disease. Therefore, quality of life of patients with chronic dialysis should be given special attention during the patients' care. Measures should be taken by the government to ensure accessibility and affordability of the hemodialysis services in the country.

L'associazione tra fumo di tabacco e crisi economiche in Italia.

OBJECTIVES: to analyse the association between smoking behaviour and economic crises in Italy between 1993 and 2015. DESIGN: ecological study, carried out on data of the Italian National Institute of Statistics, by means of fixed-effect panel regressions. SETTING AND PARTICIPANTS: the rate of smoking prevalence (disaggregated by gender and age) and the unemployment rate (disaggregated by gender and referring to individuals aged 15 or more) were collected for each of the twenty Italian regions. Also, percentage fluctuations of the national real gross domestic product (GDP) were collected to identify the years of severe economic crisis. MAIN OUTCOME MEASURES: number of people who smoke per 100 people with the same features. RESULTS: among men, increased regional unemployment rate was associated with increased smoking behaviour only in the group aged 25-34 years. Differently, severe economic crises were associated with increased smoking in almost all age groups, except for men aged 15-24 years. A 1-point decrease in GDP was associated with 0.75 more smokers aged 15 years or more. The highest coefficient was reported among men aged 35-44 years, where a 1-point decrease in GDP was associated with 1.16 more smokers (every 100 men). This age group is also featured by the second highest prevalence of tobacco smoking (36.8%). Among women, a 1-point increase in the regional unemployment rate was associated with 0.08 less smokers every 100 women. Similarly, periods of severe economic crisis at national level were associated with reduced smoking behaviour among women aged 15 years or more, specifically those aged 15-24 years. Differently, women aged 25-34 and 65 years or more showed an association similar to that reported among men. In these groups, a 1-point decrease in GDP was associated with 0.67 and 1.08 more smokers every 100 women. While among the latter the prevalence of tobacco smoking is the lowest, among the former it is the third highest prevalence (21.69%). Therefore, increased smoking behaviour due to economic crises seems to occur especially among women aged 25-35 years old, as happens among men. CONCLUSIONS: men in almost all age groups and women aged 25-34 and 65 years or more represent vulnerable groups in which smoking behaviour may increase in times of economic hardship. Therefore, specific policies should be implemented to prevent this occurrence, as well as the negative health outcomes of tobacco smoking.

The Relationship Between Unemployment and Health Insurance Coverage: Before and After the Affordable Care Act's Coverage Expansions.

OBJECTIVE: The objective of this study was to determine whether the Affordable Care Act's (ACA) major coverage expansions mitigated the impact of unemployment on health insurance coverage status. DATA SOURCE: A 2011-2019 versions of the American Community Survey developed by the University of Minnesota Integrated Public Use Microdata Series program. RESEARCH DESIGN: We use difference-in-difference-in-differences (ie, triple difference) regressions to compare changes in the short-run impacts of local unemployment rates before and after the ACA. PRINCIPAL FINDINGS: Before the ACA, rises in local unemployment were associated with uninsurance due to losses in private coverage (ie, both nongroup and employer sponsored).Following the ACA's full implementation, the link between employment and coverage was attenuated by access to publicly subsidized qualified health plans on the ACA's nongroup market, and enhanced access to Medicaid in states that expanded. Our findings suggest protections from unemployment-linked uninsured spells are largest in states that expanded Medicaid. CONCLUSIONS: Expanded access to coverage under the ACA could mitigate the adverse effects on insurance status and access to care historically linked to job loss. However, should the ACA be repealed, many households stand to lose their ability to turn to Medicaid or subsidized nongroup coverage as safety-net resources to offset the burdens of job loss.

Economic uncertainty and suicide in the United States.

Previous studies have found an association between recessions and increased rates of suicide. In the present study we widened the focus to examine the association between economic uncertainty and suicides. We used monthly suicide data from the US at the State level from 2000 to 2017 and combined them with the monthly economic uncertainty index. We followed a panel data econometric approach to study the association between economic uncertainty and suicide, controlling for unemployment and other indicators. Economic uncertainty is positively associated with suicide when controlling for unemployment [coeff: 8.026; 95% CI: 3.692-12.360] or for a wider range of economic and demographic characteristics [coeff: 7.478; 95% CI: 3.333-11.623]. An increase in the uncertainty index by one percent is associated with an additional 11-24.4 additional monthly suicides in the US. Economic uncertainty is likely to act as a trigger, which underlines the impulsive nature of some suicides. This highlights the importance of providing access to suicide prevention interventions (e.g. hotlines) during periods of economic uncertainty.

Breast Cancer-Related Employment Disruption and Financial Hardship in the Sister Study.

Background: More than one-half of breast cancer cases are diagnosed among women aged younger than 62 years, which may result in employment challenges. This study examined whether cancer-related employment disruption was associated with increased financial hardship in a national US study of women with breast cancer. Methods: Women with breast cancer who were enrolled in the Sister or Two Sister Studies completed a survivorship survey in 2012. Employment disruption was defined as stopping work completely or working fewer hours after diagnosis. Financial hardship was defined as: 1) experiencing financial problems paying for cancer care, 2) borrowing money or incurring debt, or 3) filing for bankruptcy because of cancer. Prevalence ratios and 95% confidence intervals for the association between employment disruption and financial hardship were estimated using multivariable Poisson regression with robust variance. Results: We analyzed data from women employed at diagnosis (n = 1628). Women were a median age of 48 years at diagnosis and 5.6 years from diagnosis at survey completion. Overall, 27.3% of women reported employment disruption (15.4% stopped working; 11.9% reduced hours), and 21.0% experienced financial hardship (16.0% had difficulty paying for care; 12.6% borrowed money or incurred debt; 1.8% filed for bankruptcy). In adjusted analysis, employment disruption was associated with nearly twice the prevalence of financial hardship (prevalence ratio = 1.93, 95% confidence interval = 1.58 to 2.35). Conclusions: Women experiencing employment disruptions after breast cancer may be more vulnerable to financial hardship. Findings highlight the need to target risk factors for employment disruption, facilitate return to work or ongoing employment, and mitigate financial consequences after cancer.

Unemployment Insurance and Mortality Among the Long-Term Unemployed: A Population-Based Matched-Cohort Study.

Unemployment insurance is hypothesized to play an important role in mitigating the adverse health consequences of job loss. In this prospective cohort study, we examined whether receiving unemployment benefits is associated with lower mortality among the long-term unemployed. Census records from the 2006 Canadian Census Health and Environment Cohort (n = 2,105,595) were linked to mortality data from 2006-2016. Flexible parametric survival analysis and propensity score matching were used to model time-varying relationships between long-term unemployment (≥20 weeks), unemployment-benefit recipiency, and all-cause mortality. Mortality was consistently lower among unemployed individuals who reported receiving unemployment benefits, relative to matched nonrecipients. For example, mortality at 2 years of follow-up was 18% lower (95% confidence interval (CI): 9, 26) among men receiving benefits and 30% lower (95% CI: 18, 40) among women receiving benefits. After 10 years of follow-up, unemployment-benefit recipiency was associated with 890 (95% CI: 560, 1,230) fewer deaths per 100,000 men and 1,070 (95% CI: 810, 1,320) fewer deaths per 100,000 women. Our findings indicate that receiving unemployment benefits is associated with lower mortality among the long-term unemployed. Expanding access to unemployment insurance may improve population health and reduce health inequalities associated with job loss.

Income loss after a cancer diagnosis in Germany: An analysis based on the socio-economic panel survey.

BACKGROUND AND AIMS: Cancer treatments often require intensive use of healthcare services and limit patients' ability to work, potentially causing them to become financially vulnerable. The present study is the first attempt to measure, on the German national level, the magnitude of absolute income loss after a cancer diagnosis. METHODS: This study analyzes data from the Socio-Economic Panel (SOEP) survey, one of the largest and most comprehensive household surveys in Germany, consisting of approximately 20,000 individuals, who are traced annually. The empirical strategy consists of ordinary least squares (OLS) and multinomial logistic estimators to measure changes in job income, work status, working hours, and pension as a result of reporting a cancer diagnosis for the period between 2009 and 2015. Sample consistency checks were conducted to limit measurement error biases. RESULTS: Our results show that job incomes dropped between 26% and 28% within the year a cancer diagnosis was reported. The effect persisted for two years after the diagnosis and was no longer observable after four years. The finding was linked to an increased likelihood of unemployment and a reduction of working hours by 24%. Pension levels, on the other hand, were not affected by a cancer diagnosis. CONCLUSIONS: These findings suggest that many cancer patients are exposed to financial hardship in Germany, particularly when the cancer diagnosis occurs during their working age and before requirements to obtain a pension are met. Further research seems warranted to identify particularly vulnerable patient groups.

Impact of Antidepressant Prescriptions on Suicidal Behavior in Times of Severe Financial Strain.

ABSTRACT: This descriptive study observes the relationship between antidepressant prescriptions and the suicide rate in Italy in the 2000s to the mid-2010s, which includes a period of severe economic crisis. The observation period was from 2000 to 2015. Suicide and unemployment rates disaggregated by age and sex were collected from the Italian Institute of Statistics. Statistical analyses were performed using correlations between suicide rates and the defined daily dose, with reference to selective serotonin reuptake inhibitors (SSRIs), tricyclic antidepressants (TCAs), and other types of antidepressants. Fixed-effects panel regressions were also run. Increases in SSRIs prescriptions were associated with decreases in suicide rates among both men and women. However, when the analyses were adjusted for the rate of growth of the unemployment rate and for gross domestic product, the associations were weaker. The potential protective factor of SSRIs with respect to suicidal behavior may be reduced by severe recessions, especially when unemployment increases.

The effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia: An ARDL investigation.

OBJECTIVE: While macroeconomic and environmental events affect the overall economic performance of nations, there has not been much research on the effects of important macroeconomic and environmental variables and how these can influence progress. Saudi Arabia's economy relies heavily on its vast reserves of petroleum, natural gas, iron ore, gold, and copper, but its economic growth trajectory has been uneven since the 1990s. This study examines the effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia. METHODS: Annual time series dataset covering the period 1990-2019 has been extracted from the World Bank and General Authority of Meteorology and Environmental Protection, Saudi Arabia. The Autoregressive Distributed Lag (ARDL) approach to cointegration has served to investigate the long-run relationships among the variables. Several time-series diagnostic tests have been conducted on the long-term ARDL model to check its robustness. RESULTS: Saudi Arabia can still achieve higher economic growth without effectively addressing its unemployment problem as both the variables are found to be highly significantly but positively cointegrated in the long-run ARDL model. While the variable of carbon emissions demonstrated a negative effect on the nation's economic growth, the variables of rainfall and temperate were to some extent cointegrated into the nation's economic growth in negative and positive ways, respectively. Like most other nations the short-run effects of inflation and population on economic growth do vary, but their long-term effects on the same are found to be positive. CONCLUSIONS: Saudi Arabia can achieve both higher economic growth and lower carbon emissions simultaneously even without effectively addressing the unemployment problem. The nation should utilize modern scientific technologies to annual rainfall losses and to reduce annual temperature in some parts of the country in order to achieve higher economic growth.

The effect of eviction moratoria on the transmission of SARS-CoV-2.

Massive unemployment during the COVID-19 pandemic could result in an eviction crisis in US cities. Here we model the effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households in a theoretical metropolitan area. We recreate a range of urban epidemic trajectories and project the course of the epidemic under two counterfactual scenarios, one in which a strict moratorium on evictions is in place and enforced, and another in which evictions are allowed to resume at baseline or increased rates. We find, across scenarios, that evictions lead to significant increases in infections. Applying our model to Philadelphia using locally-specific parameters shows that the increase is especially profound in models that consider realistically heterogenous cities in which both evictions and contacts occur more frequently in poorer neighborhoods. Our results provide a basis to assess eviction moratoria and show that policies to stem evictions are a warranted and important component of COVID-19 control.