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1.
Am J Public Health ; 112(4): 671-674, 2022 04.
Article in English | MEDLINE | ID: mdl-35319957

ABSTRACT

Objectives. To estimate differences in breastfeeding initiation (BFI) rates between African Americans and Black immigrants enrolled in the District of Columbia Special Supplemental Nutrition Program for Women, Infants and Children (WIC) between 2007 and 2019. Methods. We used data collected as part of routine WIC program activities for first-time mothers (n = 38 142). Using multivariable logistic regression models, we identified determinants of BFI for African Americans, Black immigrants, non-Hispanic Whites, and Hispanics. To assess the trend in BFI over time, we calculated the average of the annual percentage changes. Results. Compared with African Americans, Black immigrants had a 2.7-fold higher prevalence and Hispanics had a 5.8-fold higher prevalence of BFI. The average of the annual percentage changes was 0.85 for Hispanics, 3.44 for Black immigrants, 4.40 for Non-Hispanic Whites, and 4.40 for African Americans. African Americans had the only statistically significant change (P < .05). Disparities in BFI persisted over the study period, with African Americans demonstrating the lowest rates each year. Conclusions. Significant differences exist in BFI between Black immigrants and African Americans. Combining African Americans and Black immigrants masks important differences, overestimates rates among African Americans, and may lead to missed opportunities for targeting interventions and policies to improve breastfeeding. (Am J Public Health. 2022;112(4):671-674. https://doi.org/10.2105/AJPH.2021.306652).


Subject(s)
Black or African American , Emigrants and Immigrants , Breast Feeding , Child , District of Columbia , Female , Humans , Infant , White People
2.
Prev Sci ; 22(2): 259-268, 2021 02.
Article in English | MEDLINE | ID: mdl-33221985

ABSTRACT

The role of mass media during a public health crisis is an ineluctable part of providing the public with critical information rapidly, particularly messages about self- and response efficacy. However, little is known about the role local news media play in disseminating efficacy information during infectious disease outbreaks. Here, we use the 2014 Ebola outbreak in Liberia as a case to explore this question. We content analyzed newspaper and radio messages disseminated between March 2014 and March 2015, during the midst of the outbreak. Results show that both radio programs and newspaper articles mentioned over 21 prevention steps at some point, with noticeable differences within which disease prevention messages were communicated most frequently to the public. At least 1 mention of self-efficacy was identified in 31.5% of radio content (n = 127), 23.6% of radio programming (n = 55), and 10.6% of newspaper content (n = 745). Response efficacy, signifying effectiveness of preventive methods, was detected in 25.2% of radio (n = 127), 16.4% of radio programming (n = 55), and 15% of newspaper content (n = 745). This is important as efficacy reporting can impact public readiness to adopt preventative measures and affect beliefs about self- and response efficacy, ultimately decreasing chances of spreading the infection and poorer health outcomes.


Subject(s)
Communication , Hemorrhagic Fever, Ebola , Mass Media , Disease Outbreaks/prevention & control , Hemorrhagic Fever, Ebola/epidemiology , Hemorrhagic Fever, Ebola/prevention & control , Humans , Liberia/epidemiology
3.
Diabetes Care ; 47(1): 26-43, 2024 01 01.
Article in English | MEDLINE | ID: mdl-37909353

ABSTRACT

OBJECTIVE: This study updates previous estimates of the economic burden of diagnosed diabetes, with calculation of the health resource use and indirect costs attributable to diabetes in 2022. RESEARCH DESIGN AND METHODS: We combine the demographics of the U.S. population in 2022 with diabetes prevalence, from national survey data, epidemiological data, health care cost data, and economic data, into a Cost of Diabetes Economic Model to estimate the economic burden at the population and per capita levels. Health resource use and associated medical costs are analyzed by age, sex, race/ethnicity, comorbid condition, and health service category. Data sources include national surveys (2015-2020 or most recent available), Medicare standard analytic files (2020), and administrative claims data from 2018 to 2021 for a large commercially insured population in the U.S. RESULTS: The total estimated cost of diagnosed diabetes in the U.S. in 2022 is $412.9 billion, including $306.6 billion in direct medical costs and $106.3 billion in indirect costs attributable to diabetes. For cost categories analyzed, care for people diagnosed with diabetes accounts for 1 in 4 health care dollars in the U.S., 61% of which are attributable to diabetes. On average people with diabetes incur annual medical expenditures of $19,736, of which approximately $12,022 is attributable to diabetes. People diagnosed with diabetes, on average, have medical expenditures 2.6 times higher than what would be expected without diabetes. Glucose-lowering medications and diabetes supplies account for ∼17% of the total direct medical costs attributable to diabetes. Major contributors to indirect costs are reduced employment due to disability ($28.3 billion), presenteeism ($35.8 billion), and lost productivity due to 338,526 premature deaths ($32.4 billion). CONCLUSIONS: The inflation-adjusted direct medical costs of diabetes are estimated to rise 7% from 2017 and 35% from 2012 calculations (stated in 2022 dollars). Following decades of steadily increasing prevalence of diabetes, the overall estimated prevalence in 2022 remains relatively stable in comparison to 2017. However, the absolute number of people with diabetes has grown and contributes to increased health care expenditures, particularly per capita spending on inpatient hospital stays and prescription medications. The enormous economic toll of diabetes continues to burden society through direct medical and indirect costs.


Subject(s)
Diabetes Mellitus , Medicare , Humans , Aged , United States/epidemiology , Diabetes Mellitus/diagnosis , Health Care Costs , Health Expenditures , Health Services , Cost of Illness
4.
Confl Health ; 14(1): 75, 2020 Nov 13.
Article in English | MEDLINE | ID: mdl-33292426

ABSTRACT

BACKGROUND: Armed conflict between the militant Islamist group Boko Haram, other insurgents, and the Nigerian military has principally affected three states of northeastern Nigeria (Borno, Adamawa, Yobe) since 2002. An intensification of the conflict in 2009 brought the situation to increased international visibility. However, full-scale humanitarian intervention did not occur until 2016. Even prior to this period of armed conflict, reproductive, maternal, neonatal, and child health indicators were extremely low in the region. The presence of local and international humanitarian actors, in the form of United Nations agencies and non-governmental organizations, working in concert with concerned federal, state, and local entities of the Government of Nigeria, were able to prioritize and devise strategies for the delivery of health services that resulted in marked improvement of health status in the subset of the population in which this could be measured. Prospects for the future remain uncertain. METHODS: Interviews were conducted with more than 60 respondents from government, United Nations agencies, and national and international non-governmental organizations. Quantitative data on intervention coverage indicators from publicly available national surveys (Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS)), National Nutrition and Health Surveys (NNHS)) were descriptively analyzed. RESULTS: Overall, indicators of low reproductive, maternal, neonatal, and child health (RMNCH) status and intervention coverage were found in the pre-intervention period (prior to 2016) and important improvements were noted following the arrival of international humanitarian assistance, even while armed conflict and adverse conditions persisted. Security issues, workforce limitations, and inadequate financing were frequently cited obstacles. CONCLUSION: It is assumed that armed conflict would have a negative impact on the health status of the affected population, but pre-conflict indicators can be so depressed that this effect is difficult to measure. When this is the case, health sector intervention by the international community can often result in marked improvements in the accessible population. What might happen upon the departure of the humanitarian organizations cannot be predicted with an appreciable degree of certainty.

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