Has the relationship between community poverty and child maltreatment report rates become stronger or weaker over time?

BACKGROUND: Poverty is among the most powerful predictors of child maltreatment risk and reporting. To date, however, there have been no studies assessing the stability of this relationship over time. OBJECTIVE: To examine whether the county-level relationship between child poverty rates and child maltreatment report (CMR) rates changed over time in the United States in 2009-2018, overall and across of child age, sex, race/ethnicity, and maltreatment type. PARTICIPANTS AND SETTING: U.S. Counties in 2009-2018. METHODS: Linear multilevel models estimated this relationship and its longitudinal change, while controlling for potential confounding variables. RESULTS: We found that the county-level relationship between child poverty rates and CMR rates had intensified almost linearly from 2009 to 2018. Per one-percentage-point increase in child poverty rates, CMR rates significantly increased by 1.26 per 1000 children in 2009 and by 1.74 per 1000 children in 2018, indicating an almost 40 % increase in the poverty-CMR relationship. This increasing trend was also found within all subgroups of child age and sex. This trend was found among White and Black children, but not among Latino children. This trend was strong among neglect reports, weaker among physical abuse reports, and not found among sexual abuse reports. CONCLUSIONS: Our findings highlight the continued, perhaps increasing importance of poverty as a predictor of CMR. To the degree that our findings can be replicated, they could be interpreted as supporting an increased emphasis on reducing child maltreatment incidents and reports through poverty amelioration efforts and the provision of material family supports.

Caregiver Perspectives on Underutilization of WIC: A Qualitative Study.

OBJECTIVES: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is a federal program that improves the health of low-income women (pregnant and postpartum) and children up to 5 years of age in the United States. However, participation is suboptimal. We explored reasons for incomplete redemption of benefits and early dropout from WIC. METHODS: In 2020-2021, we conducted semistructured interviews to explore factors that influenced WIC program utilization among current WIC caregivers (n = 20) and caregivers choosing to leave while still eligible (n = 17) in Massachusetts. By using a deductive analytic approach, we developed a codebook grounded in the Consolidated Framework for Implementation Research. RESULTS: Themes across both current and early-leaving participants included positive feelings about social support from the WIC clinic staff and savings offered through the food package. Participants described reduced satisfaction related to insufficient funds for fruits and vegetables, food benefits inflexibility, concerns about in-clinic health tests, and in-store item mislabeling. Participants described how electronic benefit transfer cards and smartphone apps eased the use of benefits and reduced stigma during shopping. Some participants attributed leaving early to a belief that they were taking benefits from others. CONCLUSIONS: Current and early-leaving participants shared positive WIC experiences, but barriers to full participation exist. Food package modification may lead to improved redemption and retention, including increasing the cash value benefit for fruits and vegetables and diversifying food options. Research is needed regarding the misperception that participation means "taking" benefits away from someone else in need.

Poverty reduction in rural China: Does the digital finance matter?

As digital finance is widely spread and applied in China, this new format of financial technology could become a new way to reduce poverty in rural areas. By matching digital financial indexes of the prefectural-level cities with microdata on rural households from the China Household Finance Survey (CHFS) in 2017, we find that digital finance significantly suppresses absolute poverty and relative poverty among rural households in China, which is supported by a series of robustness tests, such as the instrumental variable approach, using alternative specifications, and excluding extreme observations. Additionally, we provide evidence that the poverty reduction effect of digital finance is likely to be explained by alleviating credit constraints and information constraints, broadening social networks, and promoting entrepreneurship. Our findings further complement the research field on financial poverty reduction and offer insights for the development of public financial policies of poverty reduction in other countries, especially in some developing countries.

Experiences of women seeking post-abortion care services in a Regional Hospital in Ghana.

INTRODUCTION: Abortions remain one of the highest contributors to maternal deaths in Ghana. In 2003, a policy on post-abortion care was introduced to help reduce abortion-related mortality and morbidity. However, depending on the method of pregnancy termination; women encounter varying experiences. This study examines the experiences of women seeking post-abortion care services in a Regional Hospital in Ghana. MATERIALS AND METHODS: In-depth interview technique was used to collect data from 20 purposively selected post-abortion care clients at the Volta Regional Hospital. Data were analysed manually using a qualitative content analysis technique. RESULTS: The study found that medical abortion was the main method of pregnancy termination used by women who participated in the study to induce abortion. Spontaneous abortion, however, was attributed mainly to engaging in activities that required the use of excessive energy and travelling on bad roads by pregnant women. The study also revealed that, women do not seek early post-abortion care services due to stigma and poverty. CONCLUSIONS: We found that severity of pain from complications, stigma and financial constraints were factors that influenced women's decision to seek post-abortion care services. Our findings also suggest that women who experienced spontaneous abortion mainly received financial and emotional support from partners and other family members. To encourage women to seek early post-abortion care services, the Ministry of Health and the Ghana Health Service should take pragmatic steps to educate women on the dangers associated with delay in seeking post-abortion care services and the factors that expose women to spontaneous abortions.

Guillain-Barré syndrome in low-income and middle-income countries: challenges and prospects.

The epidemiology, clinical characteristics, management and outcome of Guillain-Barré syndrome (GBS) differ between low-income and middle-income countries (LMIC) and high-income countries (HIC). At present, limited data are available on GBS in LMIC and the true incidence of GBS in many LMIC remains unknown. Increased understanding of GBS in LMIC is needed because poor hygiene and high exposure to infections render populations in LMIC vulnerable to GBS outbreaks. Furthermore, insufficient diagnostic and health-care facilities in LMIC contribute to delayed diagnosis in patients with severe presentations of GBS. In addition, the lack of national clinical guidelines and absence of affordable, effective treatments contribute to worse outcomes and higher mortality in LMIC than HIC. Systematic population-based surveillance studies, cohort and case-control studies are required to understand the incidence and risk factors for GBS. Novel, targeted and cost-effective treatment strategies need to be developed in the context of health system challenges in LMIC. To ensure integrative rehabilitation services in LMIC, existing prognostic models must be validated, and responsive outcome measures that are cross-culturally applicable must be developed. Therefore, fundamental and applied research to improve the clinical management of GBS in LMIC should become a critical focus of future research programmes.

Predictors of stunting among children age 6-59 months in Ethiopia using Bayesian multi-level analysis.

In developing countries including Ethiopia stunting remained a major public health burden. It is associated with adverse health consequences, thus, investigating predictors of childhood stunting is crucial to design appropriate strategies to intervene the problem stunting. The study uses data from the Ethiopian Demographic and Health Survey (EDHS) conducted from January 18 to June 27, 2016 in Ethiopia. A total of 8117 children aged 6-59 months were included in the study with a stratified two stage cluster sampling technique. A Bayesian multilevel logistic regression was fitted using Win BUGS version 1.4.3 software to identify predictors of stunting among children age 6-59 months. Adjusted odds ratio (AOR) with 95% credible intervals was used to ascertain the strength and direction of association. In this study, increasing child's age (AOR = 1.022; 95% CrI 1.018-1.026), being a male child (AOR = 1.16; 95%CrI 1.05-1.29), a twin (AOR = 2.55; 95% CrI 1.78-3.56), having fever (AOR = 1.23; 95%CrI 1.02-1.46), having no formal education (AOR = 1.99; 95%CrI 1.28-2.96) and primary education (AOR = 83; 95%CrI 1.19-2.73), birth interval less than 24 months (AOR = 1.40; 95% CrI 1.20-1.61), increasing maternal BMI (AOR = 0.95; 95% CrI 0.93-0.97), and poorest household wealth status (AOR = 1.78; 95% CrI 1.35-2.30) were predictors of childhood stunting at individual level. Similarly, region and type of toilet facility were predictors of childhood stunting at community level. The current study revealed that both individual and community level factors were predictors of childhood stunting in Ethiopia. Thus, more emphasize should be given by the concerned bodies to intervene the problem stunting by improving maternal education, promotion of girl education, improving the economic status of households, promotion of context-specific child feeding practices, improving maternal nutrition education and counseling, and improving sanitation and hygiene practices.

Pediatric Anesthesia Severe Adverse Events Leading to Anesthetic Morbidity and Mortality in a Tertiary Care Center in a Low- and Middle-Income Country: A 25-Year Audit.

BACKGROUND: The analysis of adverse events, including morbidity and mortality (M&M), helps to identify subgroups of children at risk and to modify clinical practice. There are scant data available from low- and middle-income countries. Our aim was to estimate the proportion of pediatric patients with various severe adverse events in the perioperative period extending to 48 hours and to describe the clinical situations and causes of those events. METHODS: We reviewed the M&M database of the Department of Anesthesiology between 1992 and 2016. A data collection tool was developed, and the outcomes were standardized. Each case was reviewed independently and subsequently discussed between 2 reviewers to identify a major primary causative factor. RESULTS: The total number of pediatric cases during this period was 48,828. Seventy-six significant adverse events were identified in 39 patients (8 patients [95% confidence interval {CI}, 5.7-10.9] per 10,000). Thirteen patients had multisystem involvement, and hence the total number of events exceeded the number of patients. Respiratory events were the most common (33.5%). Thirteen patients had perioperative cardiac arrest within 48 hours of surgery (2.6 [95% CI, 1.3-4.3] per 10,000), 7 of these were infants (54%), 5 of whom had congenital heart disease (CHD). Eleven of these 39 patients died within 48 hours (2.0 [95% CI, 1.1-4.0] per 10,000).In 13 cases, anesthesia was assessed to be the predominant cause of morbidity (2.6 per 10,000), whereas in 26 cases, it contributed partially (5.32 per 10,000). There was only 1 death solely related to anesthesia (0.2 per 10,000), and this death occurred before the start of surgery. CONCLUSIONS: Adverse events were uncommon. Respiratory complications were the most frequent (33%). Infants, especially those with CHD, were identified as at a higher risk for perioperative cardiac arrest, but this association was not tested statistically. Twenty-eight percent of the patients who suffered events died within 48 hours. Increased access to anesthesia drugs and practice improvements resulted in a decline in perioperative cardiac arrests.

Impact of Health Insurance, Poverty, and Comorbidities on Colorectal Cancer Screening: Insights from the Medical Expenditure Panel Survey.

BACKGROUND: Despite national campaigns and other efforts to improve colorectal cancer (CRC) screening, participation rates remain below targets set by expert panels. We hypothesized that availability and practice patterns of healthcare providers may contribute to this gap. METHOD: Using data of the Medical Expenditure Panel Survey for the years between 2000 and 2016, we extracted demographic, socioeconomic, and health-related data as well as reported experiences about barriers to care, correlating results with answers about recent participation in colorectal cancer screening. As CRC screening guidelines recommend initiation of testing at age 50, we focused on adults 50 years or older. RESULTS: We included responses of 163,564 participants for the period studied. There was a significant increase in CRC screening rates over time. Comorbidity burden, poverty, race, and ethnicity independently predicted participation in screening. Lack of insurance coverage and cost of care played an important role as reported barrier. Convenient access to care, represented by availability of appointments beyond typical business hours, and frequency of provider interactions, correlated with higher rates of screening. CONCLUSION: Our data show a positive effect of educational efforts and healthcare reform with coverage of screening. Easy and more frequent access to individual providers predicted a higher likelihood of completed screening tests. This finding could translate into more widespread implementation of screening programs, as the increasingly common virtual care delivery offers a new and convenient option to patients.

Changes in Opioid Overdose Emergency Encounters Associated with Expansion of Wisconsin Medicaid to Childless Adults in Poverty.

OBJECTIVE: The purpose of this study was to measure changes in the payer mix and incidence of emergency department (ED) opioid-related overdose encounters after an April 2014 expansion of Medicaid to childless adults led to a 43% increase in Medicaid coverage for men and 8% for women statewide. METHOD: We explored two competing hypotheses using data visualization and comparative interrupted time-series analysis (CITS): (a) expanded eligibility for Medicaid is associated with a change in payer mix only and (b) sociodemographic groups that gained Medicaid eligibility were more likely to use ED services for opioid overdose. Data included encounters at all Wisconsin nonfederal hospitals over 23 quarters from 2010 to 2015 and American Community Survey estimates of pre- and post-policy Medicaid eligibility by sex and age. RESULTS: We found an increase in the share of opioid-related ED visits covered by Medicaid for men and women ages 19-29 and for men ages 30-49 following the expansion. The number of visits increased substantially in April 2014 for men ages 30-49, with Medicaid-covered visits driving this result. We found little evidence of an increase in overall visits for other age groups for either men or women. CONCLUSIONS: The relationship between Medicaid expansion and opioid ED use is complex. Changes in case mix and increased access to care likely both play a role in the overall increase in these ED visits. Being uninsured may be an important barrier to seeking emergency care for opioid-related overdoses.

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Socioeconomic disparities in prehospital cardiac arrest outcomes: An analysis of the NEMSIS database.

BACKGROUND: Socioeconomic disparities are engrained in the US healthcare system and may extend to the prehospital cardiac arrest setting where mortality is high. METHODS: Using the National Emergency Medical Services Information System (NEMSIS) database, 150,003 cases were analyzed comparing socioeconomic status and cardiac arrest outcomes. Cardiac arrest outcomes were measured by the percent of cases that achieved return of spontaneous circulation (ROSC) and the percent of cases in which ROSC occurred in the Emergency Department (ED) as opposed to a prehospital setting which was a proxy for the length of time spent in cardiac arrest. Chi-square tests checked for statistical significance and effect size was measured using Pearson's r values and linear regression coefficients. RESULTS: Comparing neighborhood poverty level and the percent of cardiac arrest cases that achieved ROSC resulted in a Pearson's r value of 0.9424 (R2 = 0.8881, p < 0.005) and a linear regression coefficient of 2.088 (p < 0.05, R2 = 0.8881, 95% CI [1.059, 3.117]) meaning for every interval increase in poverty, the chance of an individual in cardiac arrest achieving ROSC decreases 2.09%. Comparing neighborhood poverty level and the percent of ROSC cases that occurred in the ED yielded a Pearson's r value of 0.9005 (R2 = 0.8109, p < 0.05) and a linear regression coefficient of 0.7701 (p < 0.05, R2 = 0.8109, 95% CI [0.254, 1.286]) meaning for every interval increase in poverty, the chance that ROSC is delayed increases 0.77%. CONCLUSIONS: Low income individuals in cardiac arrest have a statistically significant lower probability of achieving ROSC and a higher chance of delayed ROSC.

Poverty in the time of epidemic: A modelling perspective.

We create a network model to study the spread of an epidemic through physically proximate and accidental daily human contacts in a city, and simulate outcomes for two kinds of agents-poor and non-poor. Under non-intervention, peak caseload is maximised, but no differences are observed in infection rates across poor and non-poor. Introducing interventions to control spread, peak caseloads are reduced, but both cumulative infection rates and current infection rates are systematically higher for the poor than for non-poor, across all scenarios. Larger populations, higher fractions of poor, and longer durations of intervention are found to progressively worsen outcomes for the poor; and these are of particular concern for economically vulnerable populations in cities of the developing world. Addressing these challenges requires a deeper, more rigorous understanding of the relationships between structural poverty and epidemy, as well as effective utilization of extant community level infrastructure for primary care in developing cities. Finally, improving iniquitous outcomes for the poor creates better outcomes for the whole population, including the non-poor.

Persistent Poverty and Cancer Mortality Rates: An Analysis of County-Level Poverty Designations.

BACKGROUND: Cancer mortality is higher in counties with high levels of (current) poverty, but less is known about associations with persistent poverty. Persistent poverty counties (with ≥20% of residents in poverty since 1980) face social, structural, and behavioral challenges that may make their residents more vulnerable to cancer. METHODS: We calculated 2007 to 2011 county-level, age-adjusted, and overall and type-specific cancer mortality rates (deaths/100,000 people/year) by persistent poverty classifications, which we contrasted with mortality in counties experiencing current poverty (≥20% of residents in poverty according to 2007-2011 American Community Survey). We used two-sample t tests and multivariate linear regression to assess mortality by persistent poverty, and compared mortality rates across current and persistent poverty levels. RESULTS: Overall cancer mortality was 179.3 [standard error (SE) = 0.55] deaths/100,000 people/year in nonpersistent poverty counties and 201.3 (SE = 1.80) in persistent poverty counties (12.3% higher, P < 0.0001). In multivariate analysis, cancer mortality was higher in persistent poverty versus nonpersistent poverty counties for overall cancer mortality as well as for several type-specific mortality rates: lung and bronchus, colorectal, stomach, and liver and intrahepatic bile duct (all P < 0.05). Among counties experiencing current poverty, those counties that were also experiencing persistent poverty had elevated mortality rates for all cancer types as well as lung and bronchus, colorectal, breast, stomach, and liver and intrahepatic bile duct (all P < 0.05). CONCLUSIONS: Cancer mortality was higher in persistent poverty counties than other counties, including those experiencing current poverty. IMPACT: Etiologic research and interventions, including policies, are needed to address multilevel determinants of cancer disparities in persistent poverty counties.

Assessing the level of the material deprivation of European Union countries.

The purpose of this paper is to assess the level of material deprivation in European Union countries in 2016 from both a local and a global perspective. The Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used in the study. Based on research, five main types of the level of the material deprivation of European Union countries were identified. Research findings suggest that the population of old EU countries is less severely affected by material deprivation than people living in new member states. Also, the level of global material deprivation was assessed. The study was based on 2016 statistical data delivered by Eurostat.

Metropolitan Reclassification and the Urbanization of Rural America.

We highlight the paradoxical implications of decadal reclassification of U.S. counties (and America's population) from nonmetropolitan to metropolitan status between 1960 and 2017. Using data from the U.S. Census Bureau, we show that the reclassification of U.S. counties has been a significant engine of metropolitan growth and nonmetropolitan decline. Over the study period, 753-or nearly 25% of all nonmetropolitan counties-were redefined by the Office of Management and Budget (OMB) as metropolitan, shifting nearly 70 million residents from nonmetropolitan to metropolitan America by 2017. All the growth since 1970 in the metropolitan share of the U.S. population came from reclassification rather than endogenous growth in existing metropolitan areas. Reclassification of nonmetropolitan counties also had implications for drawing appropriate inferences about rural poverty, population aging, education, and economic growth. The paradox is that these many nonmetropolitan "winners"-those experiencing population and economic growth-have, over successive decades, left behind many nonmetropolitan counties with limited prospects for growth. Our study provides cautionary lessons regarding the commonplace narrative of widespread rural decline and economic malaise but also highlights the interdependent demographic fates of metropolitan and nonmetropolitan counties.