Exploring the Link Between Completion of Accreditation Prerequisites and Local Health Departmentsʼ Decision to Collaborate With Tax-Exempt Hospitals Around the Community Health Assessment

2017 ◽  
Vol 23 (2) ◽  
pp. 138-147 ◽  
Author(s):  
Simone R. Singh ◽  
Erik L. Carlton
Keyword(s):  
Community Health ◽  
Health Assessment ◽  
Local Health ◽  
Community Health Assessment ◽  
Tax Exempt

scholarly journals Stepping Up Active Transportation in Community Health Improvement Plans: Findings From a National Probability Survey of Local Health Departments

2019 ◽  
Vol 16 (9) ◽  
pp. 772-779 ◽  
Author(s):  
Meera Sreedhara ◽  
Karin Valentine Goins ◽  
Christine Frisard ◽  
Milagros C. Rosal ◽  
Stephenie C. Lemon
Keyword(s):  
Community Health ◽  
Health Assessment ◽  
Active Transportation ◽  
Health Improvement ◽  
Local Health ◽  
Health Departments ◽  
Local Health Departments ◽  
Community Health Assessment ◽  
National Accreditation ◽  
Community Health Improvement

Background: Local health departments (LHDs) are increasingly involved in Community Health Improvement Plans (CHIPs), a collaborative planning process that represents an opportunity for prioritizing physical activity. We determined the proportion of LHDs reporting active transportation strategies in CHIPs and associations between LHD characteristics and such strategies. Methods: A national probability survey of US LHDs (<500,000 residents; 30.2% response rate) was conducted in 2017 (n = 162). LHDs reported the inclusion of 8 active transportation strategies in a CHIP. We calculated the proportion of LHDs reporting each strategy. Multivariate logistic regression models determined the associations between LHD characteristics and inclusion of strategies in a CHIP. Inverse probability weights were applied for each stratum. Results: 45.6% of US LHDs reported participating in a CHIP with ≥1 active transportation strategy. Proportions for specific strategies ranged from 22.3% (Safe Routes to School) to 4.1% (Transit-Oriented Development). Achieving national accreditation (odds ratio [OR] = 3.67; 95% confidence interval [CI], 1.11–12.05), pursuing accreditation (OR = 3.40; 95% CI, 1.25–9.22), using credible resources (OR = 5.25; 95% CI, 1.77–15.56), and collaborating on a Community Health Assessment (OR = 4.48; 95% CI, 1.23–16.29) were associated with including a strategy in a CHIP after adjusting for covariates. Conclusions: CHIPs are untapped tools, but national accreditation, using credible resources, and Community Health Assessment collaboration may support strategic planning efforts to improve physical activity.

Local Health Department and Academic Institution Linkages for Community Health Assessment and Improvement Processes

2014 ◽  
Vol 20 (3) ◽  
pp. 349-355 ◽  
Author(s):  
Reena B. Chudgar ◽  
Lauren A. Shirey ◽  
Miriam Sznycer-Taub ◽  
Robin Read ◽  
Rebecca L. Pearson ◽  
...  
Keyword(s):  
Community Health ◽  
Health Assessment ◽  
Health Department ◽  
Academic Institution ◽  
Local Health Department ◽  
Local Health ◽  
Community Health Assessment

VISTA/PH Software for Community Health Assessment

1999 ◽  
Vol 5 (2) ◽  
pp. 60-63 ◽  
Author(s):  
David Solet ◽  
James R. Allen ◽  
Claire Talltree ◽  
James W. Krieger
Keyword(s):  
Community Health ◽  
Health Assessment ◽  
Community Health Assessment

Modeling the Principles of Community-Based Participatory Research in a Community Health Assessment Conducted by a Health Foundation

2009 ◽  
Vol 10 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Karen Jaynes Williams ◽  
Patricia Gail Bray ◽  
Carrie K. Shapiro-Mendoza ◽  
Ilana Reisz ◽  
Jane Peranteau
Keyword(s):  
Community Health ◽  
Participatory Research ◽  
Health Assessment ◽  
Community Based Participatory Research ◽  
Local Area ◽  
Lessons Learned ◽  
Assessment Model ◽  
Community Based ◽  
Community Health Assessment ◽  
Practical Applications

The authors discuss strategies used and lessons learned by a health foundation during development of a community health assessment model incorporating community-based participatory research (CBPR) approaches. The assessment model comprises three models incorporating increasing amounts of CPBR principles. Model A combines local-area analysis of quantitative data, qualitative information (key informants, focus groups), and asset mapping. Model B, a community-based participatory model, emphasizes participatory rural appraisal approaches and quantitative assessment using rapid epidemiological assessment. Model C, a modified version of Model B, is financially more sustainable for our needs than Model B. The authors (a) describe origins of these models and illustrate practical applications and (b) explore the lessons learned in their transition from a traditional, nonparticipatory, quantitative approach to participatory approaches to community-health assessment. It is hoped that this article will contribute to the growing body of knowledge of practical aspects of incorporating CBPR approaches into community health assessments.

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