scholarly journals Disasters and the Public Health Safety Net: Hurricane Floyd Hits the North Carolina Medicaid Program

2003 ◽  
Vol 93 (7) ◽  
pp. 1122-1127 ◽  
Author(s):  
Marisa Elena Domino ◽  
Bruce Fried ◽  
Yoosun Moon ◽  
Joshua Olinick ◽  
Jangho Yoon
Keyword(s):  
Public Health ◽  
North Carolina ◽  
Safety Net ◽  
Medicaid Program ◽  
Health Safety ◽  
The Public ◽  
Hurricane Floyd ◽  
The North

Building the Plane While Flying It: Lessons Learned in the Development of the North Carolina Local Performance Site for the HRSA Region IV Public Health Training Center

2017 ◽  
Vol 3 (1_suppl) ◽  
pp. 17S-20S ◽  
Author(s):  
Stephanie D. Smith ◽  
Katelyn G. Matney ◽  
Justine J. Reel ◽  
Nathaniel P. Miner ◽  
Randall R. Cottrell ◽  
...  
Keyword(s):  
Public Health ◽  
North Carolina ◽  
Lessons Learned ◽  
Public Health Workforce ◽  
Training Center ◽  
Health Training ◽  
The Public ◽  
The North ◽  
Public Health Training ◽  
Regional Public Health

Developing a public health training center has provided a unique opportunity to meet the training needs of the public health workforce across North Carolina. Furthermore, the training center has fostered collaborations with community partners and other universities in the state. This article describes some lessons learned while building a local performance site that may help inform and shape expectations about what it takes to build a public health training center. Recommendations for successfully creating a local performance site within the Regional Public Health Training Center model are included.

scholarly journals Retrospective study of the distribution of doctors in municipalities of extreme poverty in Brazil

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
B L O Luizeti ◽  
E M M Massuda ◽  
L F G Garcia
Keyword(s):  
Public Health ◽  
Health System ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Extreme Poverty ◽  
The Public ◽  
The North ◽  
Unified Health System ◽  
Shortage Of Doctors ◽  
Demographic Distribution

Abstract In view of the national scenario of scarcity of material and human resources in public health in Brazil, the survey verified the demographics of doctors who attend the Unified Health System (SUS) in municipalities of extreme poverty. An observational, analytical and cross-sectional study was carried out, based on secondary quantitative data from the Department of Informatics of the SUS using the TABNET of December 2019. The care networks variable was restricted to infer the number of physicians who attend the SUS in extreme poverty municipalities in Brazil. Municipalities of extreme poverty are those that at least 20% of the population have a household income of up to 145 reais per capita monthly. In Brazil, there are 1526 municipalities in extreme poverty, 27.4% of the country's total municipalities. 14,907 doctors linked to SUS work in this condition, 3.19% of the total of these professionals in Brazil. There is still disproportion between regions: North concentrates 11.2% of the municipalities in extreme poverty and 8.61% of the total number of doctors; Northeast, with 61.33% of these municipalities, for 61.5% of doctors; Southeast, with 15.46% of the municipalities in this condition, has 20.6% of doctors; South concentrates 10.87% of the municipalities under discussion with 5.61% of doctors and the Midwest, with 4.87% of these municipalities, has 3.54% of doctors. Between 2009 and 2018, there was a 39% increase in the number of doctors in these locations, however, for 2019, there was a decrease of 3.89%. The medical demographic distribution in Brazil is uneven, especially in the North. There is also the vulnerability of this population in view of the observed reduction in the number of professionals between 2018 and 2019 in municipalities of extreme poverty, for political reasons. It is evident the need to restructure the health system to guarantee access to health for this population, through the attraction and fixation of doctors in needy regions in Brazil. Key messages Shortage of doctors in extreme poverty municipalities reinforces the health vulnerability of the population in Brazil. The uneven medical demography in Brazil requires restructuring in the public health system.

scholarly journals Trends in the Prevalence of Live Macrosomic Newborns According to Gestational Age Strata, in Brazil, 2001–2010, and 2012–2014

2017 ◽  
Vol 39 (08) ◽  
pp. 376-383 ◽  
Author(s):  
Maria Nascimento ◽  
Daniele Pereira ◽  
Calliana Lopata ◽  
Carina Oliveira ◽  
Ariane Moura ◽  
...  
Keyword(s):  
Public Health ◽  
Information System ◽  
Birth Weight ◽  
Confidence Intervals ◽  
Gestational Age ◽  
Ecological Study ◽  
Close Attention ◽  
The Public ◽  
The North ◽  
Health Agenda

Purpose To describe the trends in the prevalence of macrosomia (birth weight ≥ 4,000 g) according to gestational age in Brazil in the periods of 2001–2010 and 2012–2014. Methods Ecological study with data from the Brazilian Live Birth Information System (SINASC, in the Portuguese acronym) regarding singleton live newborns born from 22 gestational weeks. The trends in Brazil as a whole and in each of its five regions were analyzed according to preterm (22–36 gestational weeks) and term (37–42 gestational weeks) strata. Annual Percent Changes (APCs) based on the Prais-Winsten method and their respective 95% confidence intervals (CIs) were used to verify statistically significant changes in 2001–2010. Results In Brazil, the prevalence of macrosomic births was of 5.3% (2001–2010) and 5.1% (2012–2014). The rates were systematically higher in the North and Northeast Regions both in the preterm and in term strata. In the preterm stratum, the North Region presented the highest variation in the prevalence of macrosomia (+137.5%) when comparing 2001 (0.8%) to 2010 (1.9%). In the term stratum, downward trends were observed in Brazil as a whole and in every region. The trends for 2012–2014 were more heterogeneous, with the prevalence systematically higher than that observed for 2001–2010. The APC in the preterm stratum (2001–2010) showed a statistically significant trend change in the North (APC: 15.4%; 95%CI: 0.6–32.3) and South (APC: 13.5%; 95%CI: 4.8–22.9) regions. In the term stratum, the change occurred only in the North region (APC:−1.5%; 95%CI: −2.5–−0.5). Conclusion The prevalence of macrosomic births in Brazil was higher than 5.0%. Macrosomia has potentially negative health implications for both children and adults, and deserves close attention in the public health agenda in Brazil, as well as further support for investigation and intervention.

Regional public health preparedness teams in North Carolina: An analysis of their structural capacity and impact on services provided

2011 ◽  
Vol 6 (2) ◽  
pp. 107-117 ◽  
Author(s):  
Jennifer A. Horney, PhD, MPH ◽  
Milissa Markiewicz, MPH ◽  
Anne Marie Meyer, PhD ◽  
Julie Casani, MD, MPH ◽  
Jennifer Hegle, MPH ◽  
...  
Keyword(s):  
Public Health ◽  
North Carolina ◽  
Human Resources ◽  
Administrative Support ◽  
Medical Doctor ◽  
Local Health ◽  
Team Composition ◽  
Local Public Health ◽  
The North ◽  
Structural Capacity

In December 2001, the North Carolina Division of Public Health established Public Health Regional Surveillance Teams (PHRSTs) to build local public health capacity to prevent, prepare for, respond to, and recover from public health incidents and events. Seven PHRSTs are colocated at local health departments (LHDs) around the state.The authors assessed structural capacity of the PHRSTs and analyzed the relationship between structural capacity and the frequency of support and services provided to LHDs by PHRSTs. Five categories of structural capacity were measured: human, fiscal, informational, physical, and organizational resources. In addition, variation in structural capacity among teams was also examined.The most variation was seen in human resources. Although each team was originally designed to include a physician/epidemiologist, industrial hygienist, nurse/epidemiologist, and administrative support technician, team composition varied such that only the administrative support technician is common to all teams. Variation in team composition was associated with differences in the support and services that PHRSTs provide to LHDs.Teams that reported having a medical doctor or a doctor of osteopathic medicine (χ2 = 9.95; p 0.01) or an epidemiologist (χ2 = 5.35; p 0.02) had larger budgets and provided more support and services, and teams that housed a pharmacist reported more partners (χ2 = 52.34; p 0.01). Teams that received directives from more groups (such as LHDs) also provided more support and services in planning (Z = 21.71; p 0.01), communication and liaison (Z = 12.11; p 0.01), epidemiology and surveillance (Z = 5.09; p 0.01), consultation and technical support (Z = 2.25; p = 0.02), H1N1 outbreak assistance (Z = 10.25; p 0.01), and public health event response (Z = 2.19; p = 0.03).In the last 10 years, significant variation in structural capacity, particularly in human resources, has been introduced among PHRSTs. These differences explain much of the variation in support and services provided to LHDs by PHRSTs.

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