Literature DB >> 19202403

What predicts local public health agency performance improvement? A pilot study in North Carolina.

Anjum Hajat1, Dorothy Cilenti, Lisa M Harrison, Pia D M MacDonald, Denise Pavletic, Glen P Mays, Edward L Baker.   

Abstract

Local public health agencies (LPHAs) are faced with many challenges in their role as an integral part of the public health system. It is important to better understand the demands on and the capacity of LPHAs to respond to these challenges. Determining what factors can improve LPHA performance is critical to helping LPHAs face their challenges.The objective of this study was to determine what factors are associated with LPHA performance improvement in North Carolina from 1999 to 2004. In North Carolina, several data sources regarding predictors of LPHA performance, including LPHA workforce, LPHA characteristics, public health expenditures, and population characteristics, are available. Improvement in LPHA performance was measured by nine indicators across diverse services that were collected over multiple years. Linear regression was used to evaluate the significance of predictor variables.Our findings indicate that workforce characteristics such as occupational classification and experience of the workforce, LPHA characteristics such as number of full-time employees, as well as population characteristics are important predictors of LPHA performance.This study provides insight into what is needed to better address LPHA performance improvement. More importantly, study findings indicate which workforce characteristics can be targeted to enhance LPHA performance improvement over time.

Entities:  

Mesh:

Year:  2009        PMID: 19202403     DOI: 10.1097/01.PHH.0000346022.14426.84

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  8 in total

1.  A case study examination of structure and function in a state health department chronic disease unit.

Authors:  Jeanne Alongi
Journal:  Am J Public Health       Date:  2015-02-17       Impact factor: 9.308

2.  Relationships among providing maternal, child, and adolescent health services; implementing various financial strategy responses; and performance of local health departments.

Authors:  L Michele Issel; Comfort Olorunsaiye; Laura Snebold; Arden Handler
Journal:  Am J Public Health       Date:  2015-02-17       Impact factor: 9.308

3.  Understanding administrative evidence-based practices: findings from a survey of local health department leaders.

Authors:  Ross C Brownson; Rodrigo S Reis; Peg Allen; Kathleen Duggan; Robert Fields; Katherine A Stamatakis; Paul C Erwin
Journal:  Am J Prev Med       Date:  2014-01       Impact factor: 5.043

4.  Importance of scientific resources among local public health practitioners.

Authors:  Robert P Fields; Katherine A Stamatakis; Kathleen Duggan; Ross C Brownson
Journal:  Am J Public Health       Date:  2015-02-17       Impact factor: 9.308

5.  Building the evidence for decision-making: the relationship between local public health capacity and community mortality.

Authors:  Anna P Schenck; Anne Marie Meyer; Tzy-Mey Kuo; Dorothy Cilenti
Journal:  Am J Public Health       Date:  2015-02-17       Impact factor: 9.308

6.  Evidence-based public health practice among program managers in local public health departments.

Authors:  Paul Campbell Erwin; Jenine K Harris; Carson Smith; Carolyn J Leep; Kathleen Duggan; Ross C Brownson
Journal:  J Public Health Manag Pract       Date:  2014 Sep-Oct

7.  Local public health delivery of maternal child health services: are specific activities associated with reductions in Black-White mortality disparities?

Authors:  Betty Bekemeier; David Grembowski; Young Ran Yang; Jerald R Herting
Journal:  Matern Child Health J       Date:  2012-04

8.  Training needs and supports for evidence-based decision making among the public health workforce in the United States.

Authors:  Rebekah R Jacob; Elizabeth A Baker; Peg Allen; Elizabeth A Dodson; Kathleen Duggan; Robert Fields; Sonia Sequeira; Ross C Brownson
Journal:  BMC Health Serv Res       Date:  2014-11-14       Impact factor: 2.655

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.