Impact of Economic Constraints on Public Health Delivery Systems Structures.

Am J Public Health

Sharla A. Smith, Holly C. Felix, and J. Mick Tilford are with the Fay W. Boozman College of Public Health, University of Arkansas for Medical Science, Little Rock. Glen P. Mays is with the Department of Health Management and Policy, College of Public Health, University of Kentucky, Lexington. Geoffrey M. Curran is with the Department of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock. Michael A. Preston is with Cancer Control and Population Science, University of Arkansas for Medical Sciences, Little Rock.

Published: September 2015

Objectives: We estimated the effect of economic constraints on public health delivery systems (PHDS) density and centrality during 3 time periods, 1998, 2006, and 2012.

Methods: We obtained data from the 1998, 2006, and 2012 National Longitudinal Study of Public Health Agencies; the 1993, 1997, 2005, and 2010 National Association for County and City Health Officials Profile Study; and the 1997, 2008, and 2011 Area Resource Files. We used multivariate regression models for panel data to estimate the impact of economic constraints on PHDS density and centrality.

Results: Findings indicate that economic constraints did not have a significant impact on PHDS density and centrality over time but population is a significant predictor of PHDS density, and the presence of a board of health (BOH) is a significant predictor of PHDS density and centrality. Specifically, a 1% increase in population results in a significant 1.71% increase in PHDS density. The presence of a BOH is associated with a 10.2% increase in PHDS centrality, after controlling for other factors.

Conclusions: These findings suggest that other noneconomic factors influence PHDS density centrality.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539844PMC
http://dx.doi.org/10.2105/AJPH.2015.302769DOI Listing

Publication Analysis

Top Keywords

phds density
28
economic constraints
16
density centrality
16
public health
12
impact economic
8
constraints public
8
health delivery
8
delivery systems
8
phds
8
centrality time
8

Similar Publications

Background: Knowledge on the association between the EAT- Planetary Health Diet (PHD) or the Finnish Nutrition recommendations (FNR) and anthropometric changes is scarce. Especially, the role of the overall diet quality, distinct from energy intake, on weight changes needs further examination.

Objectives: To examine the association between diet quality and weight change indicators and to develop a dietary index based on the PHD adapted for the Finnish food culture.

View Article and Find Full Text PDF

Due to the interference of complex noise in holographic channels and the limitation of phase retrieve algorithms, the reliability of phase-modulated holographic data storage (PHDS) is seriously threatened, especially for multi-level phase modulation. A method for improving data reliability of PHDS is proposed by applying lossless data compression and low-density parity-check (LDPC) codes, which can eliminate data redundancy and correct errors effectively. We allocate the space saved by compression to store more LDPC parity bits and develop a method to determine the LDPC code rate and a method to manage the free space.

View Article and Find Full Text PDF

Owing to their high storage density and long storage life, holographic data storage (HDS) technologies are viable options for mass cold data storage in the era of big data. Phase-modulated holographic data storage (PHDS) is a promising implementation of HDS. However, because of complex noise in the storage channel, many errors remain after phase demodulation.

View Article and Find Full Text PDF

Unlabelled: Bone Health TeleECHO Moscow is the first Russian-speaking Project ECHO (Extension for Community Healthcare Outcomes) program that is modeled after the original Bone Health TeleECHO created in the USA. Bone Health TeleECHO Moscow was effective (effect size of 0.87 p < 0.

View Article and Find Full Text PDF

: Clinical inertia is a key obstacle that leads to suboptimal care in patients with type 2 diabetes mellitus (T2DM). It can occur at any stage of T2DM treatment. However, the effect of clinical inertia on diabetes complications has not been studied sufficiently.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!