Understanding Patterns of Socioeconomic and Demographic Factors Along With Health Services Provider Availability for Zika Outbreak in South Florida

2017 ◽  
Vol 12 (4) ◽  
pp. 455-459
Author(s):  
Linda McQuade ◽  
Mya Rao ◽  
Roger Miller ◽  
Winnie Zhou ◽  
Rinku Deol ◽  
...  
Keyword(s):  
Health Services ◽  
Demographic Factors ◽  
South Florida ◽  
Consumer Information ◽  
Dade County ◽  
Provider Network ◽  
Public Provider ◽  
Level Data ◽  
Machine Readable ◽  
Socioeconomic And Demographic Factors

AbstractIn this study, we analyzed the patterns of socioeconomic and demographic factors along with health services provider availability for the current Zika outbreak in Miami-Dade County, South Florida. We used Center for Consumer Information & Insurance Oversight (CCIIO) Machine-Readable Public Use Files (MR-PUFs) to examine provider availability in combination with socioeconomic and demographic factors that could potentially lead to healthcare disparities between any underserved population of the Wynwood neighborhood and the broader population of Miami-Dade County. MR-PUFs contain public provider-level data from states that are participating in the Federally Facilitated Marketplace. According to CCIIO, an issuer of a Qualified Health Plan that uses a provider network must maintain a network that is sufficient in the number and types of providers, including providers that specialize in mental-health and substance-use disorder services, to assure that all services will be accessible to enrollees without unreasonable delay. (Disaster Med Public Health Preparedness. 2018;12:455–459)

scholarly journals Socioeconomic and Demographic Factors Affecting Labor Force Participation in Pakistan

2016 ◽  
Vol 9 (4) ◽  
pp. 70 ◽  
Author(s):  
Mumtaz Hussain ◽  
Sofia Sofia Anwar ◽  
Shaoan Huang
Keyword(s):  
Labor Market ◽  
Labor Force ◽  
Human Resource Development ◽  
Labor Force Participation ◽  
Demographic Factors ◽  
Factors Affecting ◽  
Level Of Education ◽  
Level Data ◽  
Micro Level ◽  
Socioeconomic And Demographic Factors

Labor Force Participation is the indication of relative supply of labor in the labor market and it is also very useful for the formulation of employment and human resource development. The main purpose of present study is to explore the demographic factors that directly or indirectly influence the labor force participation. The study is based on Micro-level data on different socioeconomic and demographic factors that have a deep effect on the labor force participation in Pakistan. The collected set of information of about 1,43,587 frequencies of 36,400 households was used in this study from the Labor Force Survey of Pakistan 2008-09. The research concluded that the level of education, training, age, location, residential period and being male has positive and significant impact on labor force participation.

scholarly journals Between liberty and control: citizens’ attitudes towards Romanian state surveillance

2021 ◽  
Vol 19 (1) ◽  
pp. 183-205
Author(s):  
Paul Tap
Keyword(s):  
Demographic Factors ◽  
Public Institutions ◽  
Individual Level ◽  
Level Data ◽  
State Surveillance ◽  
Private And Public ◽  
Original Survey ◽  
Socio Demographic Factors ◽  
And Control ◽  
Source Of Information

Surveillance was extensively analyzed in the literature from multiple standpoints. Some studies looked to the temporal development of surveillance, while others analyzed the traditional theories that influenced many of the contemporary surveillance studies. All these studies define surveillance as an activity that is ubiquitous and performed globally, by multiple private and public institutions, through the involvement of specific technologies. However, little attention was paid to the perceptions of citizens about surveillance. This article addresses this gap in the literature and analyses how state surveillance is perceived by the Romanian citizens according to the socio-demographic factors (i.e., age, education, income, gender and medium of residence). The aim of the study is to explain how socio-demographic factors influence the acceptance of state surveillance. It also controls for the left-right self-placement, and the use of Facebook as source of information. The statistical analysis uses individual level data from an original survey conducted between October-November 2020. The survey was completed by 1,140 respondents, and the article uses correlation and linear regression to analyze the data. The findings illustrate that the acceptance of state surveillance is influenced by the gender, level of education and medium of residence of the individuals. The age and income of the citizens have no effect on the acceptance of state surveillance.

Abstract 282: Assessing Levels of Active Participation through a VA Provider Network to Improve Quality of Care for Veterans with Heart Failure

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Anju Sahay ◽  
Paul Heidenreich
Keyword(s):  
Heart Failure ◽  
Quality Of Care ◽  
Active Participation ◽  
Teaching Hospitals ◽  
Evidence Based Practices ◽  
Provider Network ◽  
Participation Level ◽  
Level Data ◽  
Facility Level

Objective: The goal of the Dept. of Veterans Affairs (VA) Chronic Heart Failure (CHF) QUERI program is to improve the quality of care for heart failure (HF) patients and implement evidence-based practices throughout the VA system. One strategy to achieve this goal was to create a VA heart failure provider Network which occurred in 2006. We sought to characterize provider participation in this mature network. Method: We tracked all members of the HF Network including their title, location at one of 144 VA facilities; date joined and if applicable, date left the HF Network. We considered the following activities to be evidence of “active” participation: attended a web-based meeting or the annual in-person meeting, requested meeting materials, or completed a periodic survey of providers. Participation of all other members is considered “passive”. For this project we assessed each facility’s level of participation in the HF Network from July 2006 till June 2013 (7 years). Facility participation level was characterized as “None” (no member at that facility with active participation), “Low” (at least one member at that facility attended 1-2 activities) and “High” (at least one member at that facility participated in ≥3 activities). Data were linked to existing facility-level data that included presence of an HF clinic, cardiac cath lab, use of pharmacist, bed size, membership in Council on Teaching Hospitals (COTH), and presence of an Accredited Graduate Medical Education (ACGME) program. Results: Altogether, 1205 providers have participated in the HF Network. As of June 2013, 987 providers from 144 VA facilities participate in this network. They include VACO leadership (1%), VISN leadership (4%), facility leadership (9%), Chiefs of Cardiology (7%), staff physicians (32%), nurses (28%), pharmacists (5%) and others (14%). Participation at the facility-level has increased from 2008 (None=37, Low=43 and High=64) to 2013 (None=8, Low=16 and High=120, (p <0.001). High participating facilities were more likely to be classified as tertiary (p <.016), COTH members (p <0.001), having ACGME programs (p <0.001), and located in the West or Southeast United States (p =.03). High participating facilities are also more likely to have a HF clinic (p <0.001), a cardiac catheterization lab (<0.001), and use a pharmacist in routine HF care (p <.03). Conclusions: Involvement and active participation in the VA HF Network has grown and is more likely at academic facilities and those providing more intensive services.

Latinx Sexual Minority Men's Access to HIV and Behavioral Health Services in South Florida During COVID-19

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Audrey Harkness ◽  
Elliott R. Weinstein ◽  
Pranusha Atuluru ◽  
Daniel Mayo ◽  
Ronald Vidal ◽  
...  
Keyword(s):  
Health Services ◽  
Behavioral Health ◽  
Sexual Minority ◽  
South Florida ◽  
Behavioral Health Services

scholarly journals Socioeconomic and Demographic Factors Are Associated with Worldwide Patterns of Stunting and Wasting of Children

1997 ◽  
Vol 127 (12) ◽  
pp. 2302-2309 ◽  
Author(s):  
Edward A. Frongillo ◽  
Mercedes de Onis ◽  
Kathleen M. P. Hanson
Keyword(s):  
Demographic Factors ◽  
Socioeconomic And Demographic Factors

scholarly journals Immigrant Generation, Stress Exposure, and Substance Abuse among a South Florida Sample of Hispanic Young Adults

2019 ◽  
Vol 5 ◽  
pp. 237802311984301 ◽  
Author(s):  
Stacy Salerno ◽  
John Taylor ◽  
Quentin K. Kilpatrick
Keyword(s):  
Substance Use ◽  
Young Adults ◽  
Social Stress ◽  
First Generation ◽  
Mental Health Problems ◽  
South Florida ◽  
Generational Status ◽  
Dade County ◽  
First Generation Immigrants ◽  
Using Data

Existing research finds that succeeding immigrant generations are at greater risk for mental health problems as well as higher levels of substance use. Previous studies have attempted to unpack the role of acculturation stress, discrimination, and other factors in these outcomes. Using data from a community-based sample of Miami-Dade County young adults, we use an empirically and theoretically precise measurement of generational status, allowing us to better understand the process of acculturation and adaptation experienced by each generation. Our results are consistent with theories on the relationship between exposure to social stress and substance use. We find that first-generation immigrants have less exposure to social stress and as a consequence are at a decreased risk for involvement in substance use compared to second- and third-generation immigrants, who report being exposed to higher levels of social stress and higher levels of substance use.

scholarly journals 2286

2017 ◽  
Vol 1 (S1) ◽  
pp. 14-14
Author(s):  
William G. Adams ◽  
Michael Mendis ◽  
Shiby Thomas ◽  
David Center ◽  
Sara Curran
Keyword(s):  
Health Services Research ◽  
Health Services ◽  
Community Health ◽  
Comparative Effectiveness ◽  
Large Scale ◽  
Safety Net ◽  
Services Research ◽  
Patient Level Data ◽  
Patient Level ◽  
Level Data

OBJECTIVES/SPECIFIC AIMS: The primary objective of this effort is to develop and distribute an easy to use i2b2 component that is capable of evaluating diverse complex relationships for a wide variety of exposures and outcomes over time. In this manner we are able to leverage the unique design of the i2b2 database to support health services research, comparative effectiveness, and quality improvement using a single tool. Furthermore, our novel database redesign has the potential to provide user-friendly access to individual and group CHC data for CER. METHODS/STUDY POPULATION: For this project we used software experts, clinical informatics specialists, and the existing i2b2 open-source software to convert our legacy HOME Cell into a web-client version. The tool will be used to study health outcomes within a network of Boston based Community Health Centers and the largest safety-net hospital in New England, Boston Medical Center. RESULTS/ANTICIPATED RESULTS: The new web-client HOME Cell will allow i2b2 users to model virtually any exposure (including therapeutic interventions such as medications or tests) in i2b2 against any outcome accounting for complex temporal relationships and other factors. In addition we plan to use our new Community Health Center views to enhance our community engagement activities by allowing direct access to their data for our partners. DISCUSSION/SIGNIFICANCE OF IMPACT: Our project addresses multiple national priorities related to data sharing, clinical research informatics, and comparative effectiveness. The web-client version of the HOME Cell substantially improves our community’s access to HOME Cell functionality and is a novel, sharable resource for use within the CTSA/NCATS community. Our approach provides a new way to perform large-scale collaborative research without the need to actually move patient-level data and has demonstrated that CER, health services research, and quality measurement can share a common framework. In addition, and as demonstrated in our earlier pilot work, the HOME Cell also has the potential to support large-scale multivariate analyses in a distributed manner that does not require sharing of patient-level data. We believe our approach has great promise for supporting the reuse of clinical data for rapid, transparent, health outcome assessments on a national scale. Our efforts support multiple strategic goals including: (1) support for building national clinical and translational research capacity by enhancing a broadly adopted informatics tool (i2b2); (2) enhanced consortium-wide collaborations by offering a tool that can be easily shared within the CTSA network to support multi-institutional collaboration; and (3) improving the health of our communities by offering a tool that has the potential to provide new insights into health care processes and outcomes that could drive innovation and improvement activities.

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