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Murphy JA, Peel JL, Butts T, McKenzie LM, Litt JS. Understanding Emerging Environmental Health Concerns and Environmental Public Health-Tracking Priorities Among State and Local Professionals in Colorado. JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE 2021; 27:598-606. [PMID: 34554996 PMCID: PMC8461085 DOI: 10.1097/phh.0000000000001010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
CONTEXT Colorado is experiencing dramatic changes related to population growth, climate change, and expanded industrial activity. Local and state public health professionals are trying to address a growing array of unique public health issues with stagnant or limited resources. OBJECTIVES To understand, through perspectives from local and state public health professionals, the alignment of contemporary environmental and community health issues with state and local capacity and state environmental public health-tracking priorities. DESIGN During 2014-2015, we conducted semistructured interviews which informed the development of a statewide survey of Colorado's professionals from public health, emergency management, forestry, and transportation. SETTING This work took place in Colorado. PARTICIPANTS Fifteen professionals from public (n = 9), academic (n = 4), and private (n = 2) sectors were interviewed. Forty-seven professionals, representing 34 counties and 40 public agencies, completed the 25-minute online survey. MAIN OUTCOME MEASURES Environmental and community health concerns; contributing factors to environmental concerns; strengths and limitations of capacity to respond to issues; and frequency of community engagement activities. RESULTS Top environmental health concerns were indoor air pollution (eg, radon), outdoor air pollution, and waste management. Transportation, extreme weather (eg, wildfires), and oil and gas development were most frequently reported as major contributing factors to concerns. Obesity, physical inactivity, and mental illness were the top community health concerns. To remain prepared for emerging challenges, professionals cited a need for more spatiotemporal-refined data related to their top concerns in the environmental public health-tracking database, and support from local, state, and federal agencies, in addition to personnel and funding. To address concerns, participants reported frequently working with government officials, advisory committees, and media outlets. CONCLUSIONS This project illuminates opportunities to strengthen connections between the state's environmental public health-tracking priorities and local-level capacity related to professionals' top concerns. It also suggests reinforcing and broadening partnerships to improve data infrastructure and inform environmental public health priorities.
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Affiliation(s)
- Jacquelyn A Murphy
- Environmental and Occupational Health Department, Colorado School of Public Health, Aurora, Colorado (Drs Murphy and McKenzie); Department of Environmental and Radiological Sciences, Colorado School of Public Health, Colorado State University, Fort Collins, Colorado (Dr Peel); Environmental Health Division; Tri-County Health Department, Greenwood Village, Colorado (Mr Butts); and Environmental Studies Department, University of Colorado-Boulder, Boulder, Colorado (Dr Litt)
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Haldane V, Chuah FLH, Srivastava A, Singh SR, Koh GCH, Seng CK, Legido-Quigley H. Community participation in health services development, implementation, and evaluation: A systematic review of empowerment, health, community, and process outcomes. PLoS One 2019; 14:e0216112. [PMID: 31075120 PMCID: PMC6510456 DOI: 10.1371/journal.pone.0216112] [Citation(s) in RCA: 224] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 04/15/2019] [Indexed: 11/23/2022] Open
Abstract
Background Community participation is widely believed to be beneficial to the development, implementation and evaluation of health services. However, many challenges to successful and sustainable community involvement remain. Importantly, there is little evidence on the effect of community participation in terms of outcomes at both the community and individual level. Our systematic review seeks to examine the evidence on outcomes of community participation in high and upper-middle income countries. Methods and findings This review was developed according to PRISMA guidelines. Eligible studies included those that involved the community, service users, consumers, households, patients, public and their representatives in the development, implementation, and evaluation of health services, policy or interventions. We searched the following databases from January 2000 to September 2016: Medline, Embase, Global Health, Scopus, and LILACs. We independently screened articles for inclusion, conducted data extraction, and assessed studies for risk of bias. No language restrictions were made. 27,232 records were identified, with 23,468 after removal of duplicates. Following titles and abstracts screening, 49 met the inclusion criteria for this review. A narrative synthesis of the findings was conducted. Outcomes were categorised as process outcomes, community outcomes, health outcomes, empowerment and stakeholder perspectives. Our review reports a breadth of evidence that community involvement has a positive impact on health, particularly when substantiated by strong organisational and community processes. This is in line with the notion that participatory approaches and positive outcomes including community empowerment and health improvements do not occur in a linear progression, but instead consists of complex processes influenced by an array of social and cultural factors. Conclusion This review adds to the evidence base supporting the effectiveness of community participation in yielding positive outcomes at the organizational, community and individual level. Trial registration Prospero record number:CRD42016048244.
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Affiliation(s)
- Victoria Haldane
- Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Fiona L. H. Chuah
- Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Aastha Srivastava
- Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Shweta R. Singh
- Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Gerald C. H. Koh
- Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Chia Kee Seng
- Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Helena Legido-Quigley
- Swee Hock School of Public Health, National University of Singapore, Singapore
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom
- * E-mail:
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Vest JR, Menachemi N, Grannis SJ, Ferrell JL, Kasthurirathne SN, Zhang Y, Tong Y, Halverson PK. Impact of Risk Stratification on Referrals and Uptake of Wraparound Services That Address Social Determinants: A Stepped Wedged Trial. Am J Prev Med 2019; 56:e125-e133. [PMID: 30772150 DOI: 10.1016/j.amepre.2018.11.009] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2018] [Revised: 11/06/2018] [Accepted: 11/07/2018] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Social determinants of health are critical drivers of health status and cost, but are infrequently screened or addressed in primary care settings. Systematic approaches to identifying individuals with unmet social determinants needs could better support practice workflows and linkages of patients to services. A pilot study examined the effect of a risk-stratification tool on referrals to services that address social determinants in an urban safety-net population. METHODS An intervention that risk stratified patients according to the need for wraparound was evaluated in a stepped wedge design (i.e., phased implementation at the clinic level during 2017). Staff at nine federally qualified health centers received a daily report predicting patients' needs for social worker, dietitian, behavioral health, and other wraparound services (categorized as low, rising, or high risk). Outcomes included referrals and uptake of appointments to wraparound services. RESULTS Among 238,087 encounters, providing clinic staff with risk-stratification scores increased the odds that a patient would be referred to a social worker. For patients categorized as high risk, the odds of a social work referral was 65% higher than controls and similar patients, but lower effect sizes were observed for individuals categorized with rising and low risk. Among referred patients, the intervention was generally associated with increased odds of kept appointments. CONCLUSIONS This study provided preliminary evidence that risk-stratification interventions to identify patients in need of wraparound services to address social determinants can increase referrals and uptake of services that may address social drivers of disease burden.
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Affiliation(s)
- Joshua R Vest
- Department of Health Policy and Management, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana; Regenstrief Institute, Indianapolis, Indiana.
| | - Nir Menachemi
- Department of Health Policy and Management, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana; Regenstrief Institute, Indianapolis, Indiana
| | - Shaun J Grannis
- Regenstrief Institute, Indianapolis, Indiana; Department of Family Medicine, School of Medicine, Indiana University, Indianapolis, Indiana
| | | | - Suranga N Kasthurirathne
- Regenstrief Institute, Indianapolis, Indiana; Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Ying Zhang
- Department of Biostatistics, School of Medicine and Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Yan Tong
- Department of Biostatistics, School of Medicine and Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Paul K Halverson
- Department of Health Policy and Management, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana; Regenstrief Institute, Indianapolis, Indiana; Department of Family Medicine, School of Medicine, Indiana University, Indianapolis, Indiana
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Zwald ML, Eyler AA, Haire-Joshu D, Handy SL, Harris JK, Moreland-Russell S, Brownson RC. Network influences on the development and implementation of active transportation policies in six U.S. cities. Prev Med 2019; 118:176-183. [PMID: 30385154 DOI: 10.1016/j.ypmed.2018.10.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 10/22/2018] [Accepted: 10/26/2018] [Indexed: 10/28/2022]
Abstract
Many communities have prioritized policy and built environment changes to promote active transportation (AT). However, limited information exists on the partnerships and processes necessary to develop and implement such policy and environmental changes, particularly among organizations in non-health sectors. Within the transportation sector, metropolitan planning organizations (MPOs) are increasingly recognized as organizations that can support AT policies. This study examined inter-organizational relationships among MPOs and their partners working to advance AT policies in six U.S. cities. In fall 2015, an average of 22 organizations in each city participated in an online survey about partnerships with MPOs and other organizations developing and implementing AT policies. Measures included organizational characteristics and relational attributes including: level of AT policy collaboration, information transmission, resource sharing, and perceived decisional power. Descriptive network analysis and exponential random graph modeling were used to examine organizational attributes and relational predictors associated with inter-organizational collaboration in each network. MPOs served as collaborative intermediaries, connecting other organizations around AT policies, in half of the cities examined. Organizations in each city were more likely to collaborate around AT policies when partners communicated at least quarterly. In half of the cities, the probability of AT policy collaboration was higher when two agencies exchanged resources and when organizations had perceived decisional authority. Network analysis helped identify factors likely to improve partnerships around AT policies. Results may contribute to best practices for collaboration among researchers, practitioners, policymakers, and advocates across diverse sectors seeking to promote population-level physical activity.
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Affiliation(s)
- Marissa L Zwald
- Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO, USA; Brown School, Washington University in St. Louis, St. Louis, MO, USA.
| | - Amy A Eyler
- Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO, USA; Brown School, Washington University in St. Louis, St. Louis, MO, USA
| | - Debra Haire-Joshu
- Brown School, Washington University in St. Louis, St. Louis, MO, USA
| | - Susan L Handy
- Department of Environmental Science and Policy, University of California at Davis, USA
| | - Jenine K Harris
- Brown School, Washington University in St. Louis, St. Louis, MO, USA
| | - Sarah Moreland-Russell
- Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO, USA; Brown School, Washington University in St. Louis, St. Louis, MO, USA
| | - Ross C Brownson
- Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO, USA; Brown School, Washington University in St. Louis, St. Louis, MO, USA; Division of Public Health Sciences and Alvin J. Siteman Cancer Center, Department of Surgery, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
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Hogg RA, Varda D. Insights Into Collaborative Networks Of Nonprofit, Private, And Public Organizations That Address Complex Health Issues. Health Aff (Millwood) 2018; 35:2014-2019. [PMID: 27834241 DOI: 10.1377/hlthaff.2016.0725] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Community networks that include nonprofit, public, and private organizations have formed around many health issues, such as chronic disease management and healthy living and eating. Despite the increases in the numbers of and funding for cross-sector networks, and the growing literature about them, there are limited data and methods that can be used to assess their effectiveness and analyze their designs. We addressed this gap in knowledge by analyzing the characteristics of 260 cross-sector community health networks that collectively consisted of 7,816 organizations during the period 2008-15. We found that nonprofit organizations were more prevalent than private firms or government agencies in these networks. Traditional types of partners in community health networks such as hospitals, community health centers, and public health agencies were the most trusted and valued by other members of their networks. However, nontraditional partners, such as employer or business groups and colleges or universities, reported contributing relatively high numbers of resources to their networks. Further evidence is needed to inform collaborative management processes and policies as a mechanism for building what the Robert Wood Johnson Foundation describes as a culture of health.
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Affiliation(s)
- Rachel A Hogg
- Rachel A. Hogg is an assistant professor in the Department of Clinical Sciences, College of Health Sciences, at the University of Kentucky, in Lexington
| | - Danielle Varda
- Danielle Varda is an associate professor in the School of Public Affairs and director of the Center on Network Science, both at the University of Colorado Denver
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Choy LB, Maddock JE, Brody B, Richards KL, Braun KL. Examining the role of a community coalition in facilitating policy and environmental changes to promote physical activity: the case of Get Fit Kaua'i. Transl Behav Med 2016; 6:638-647. [PMID: 27848212 PMCID: PMC5110490 DOI: 10.1007/s13142-015-0379-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Community coalitions help to generate policy and environmental changes that address community health problems. This qualitative study examined how one community coalition, Get Fit Kaua'i, catalyzed built environment (BE) policy and infrastructure changes in a rural county in Hawai'i. The purpose was to develop a theory that explained the process by which the community coalition facilitated BE changes to support physical activity. Using a grounded theory approach, semi-structured interviews were conducted with a purposeful sample of 25 stakeholders engaged in the coalition's BE activities. The model to emerge from the coalition interviews consisted of five phases: (1) coalition formation, (2) capacity building, (3) policy development, (4) policy passage, and (5) policy implementation. Community context influenced all of these phases. Although community context limits generalizability, other community coalitions pursuing BE changes can learn from the process of the coalition under study.
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Affiliation(s)
- Lehua B Choy
- Department of Public Health Sciences, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA.
| | - Jay E Maddock
- School of Public Health, Texas A & M Health Science Center, College Station, TX, USA
| | - Beverley Brody
- Department of Public Health Sciences, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
| | - Katherine L Richards
- Healthy Hawai'i Initiative, Hawai'i State Department of Health, Honolulu, HI, USA
| | - Kathryn L Braun
- Department of Public Health Sciences, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA
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Litt J, Varda D, Reed H, Retrum J, Tabak R, Gustat J, O'Hara Tompkins N. How to Identify Success Among Networks That Promote Active Living. Am J Public Health 2015; 105:2298-305. [PMID: 26378863 DOI: 10.2105/ajph.2015.302828] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES We evaluated organization- and network-level factors that influence organizations' perceived success. This is important for managing interorganizational networks, which can mobilize communities to address complex health issues such as physical activity, and for achieving change. METHODS In 2011, we used structured interview and network survey data from 22 states in the United States to estimate multilevel random-intercept models to understand organization- and network-level factors that explain perceived network success. RESULTS A total of 53 of 59 "whole networks" met the criteria for inclusion in the analysis (89.8%). Coordinators identified 559 organizations, with 3 to 12 organizations from each network taking the online survey (response rate = 69.7%; range = 33%-100%). Occupying a leadership position (P < .01), the amount of time with the network (P < .05), and support from community leaders (P < .05) emerged as correlates of perceived success. CONCLUSIONS Organizations' perceptions of success can influence decisions about continuing involvement and investment in networks designed to promote environment and policy change for active living. Understanding these factors can help leaders manage complex networks that involve diverse memberships, varied interests, and competing community-level priorities.
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Affiliation(s)
- Jill Litt
- Jill Litt and Hannah Reed are with Colorado School of Public Health, Aurora. Danielle Varda and Jessica Retrum are with University of Colorado, School of Public Affairs, Denver. Rachel Tabak is with Prevention Research Center, Brown School of Social Work, Washington University in St Louis, St Louis, MO. Jeanette Gustat is with Department of Epidemiology, Prevention Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA. Nancy O'Hara Tompkins is with West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown
| | - Danielle Varda
- Jill Litt and Hannah Reed are with Colorado School of Public Health, Aurora. Danielle Varda and Jessica Retrum are with University of Colorado, School of Public Affairs, Denver. Rachel Tabak is with Prevention Research Center, Brown School of Social Work, Washington University in St Louis, St Louis, MO. Jeanette Gustat is with Department of Epidemiology, Prevention Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA. Nancy O'Hara Tompkins is with West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown
| | - Hannah Reed
- Jill Litt and Hannah Reed are with Colorado School of Public Health, Aurora. Danielle Varda and Jessica Retrum are with University of Colorado, School of Public Affairs, Denver. Rachel Tabak is with Prevention Research Center, Brown School of Social Work, Washington University in St Louis, St Louis, MO. Jeanette Gustat is with Department of Epidemiology, Prevention Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA. Nancy O'Hara Tompkins is with West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown
| | - Jessica Retrum
- Jill Litt and Hannah Reed are with Colorado School of Public Health, Aurora. Danielle Varda and Jessica Retrum are with University of Colorado, School of Public Affairs, Denver. Rachel Tabak is with Prevention Research Center, Brown School of Social Work, Washington University in St Louis, St Louis, MO. Jeanette Gustat is with Department of Epidemiology, Prevention Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA. Nancy O'Hara Tompkins is with West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown
| | - Rachel Tabak
- Jill Litt and Hannah Reed are with Colorado School of Public Health, Aurora. Danielle Varda and Jessica Retrum are with University of Colorado, School of Public Affairs, Denver. Rachel Tabak is with Prevention Research Center, Brown School of Social Work, Washington University in St Louis, St Louis, MO. Jeanette Gustat is with Department of Epidemiology, Prevention Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA. Nancy O'Hara Tompkins is with West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown
| | - Jeanette Gustat
- Jill Litt and Hannah Reed are with Colorado School of Public Health, Aurora. Danielle Varda and Jessica Retrum are with University of Colorado, School of Public Affairs, Denver. Rachel Tabak is with Prevention Research Center, Brown School of Social Work, Washington University in St Louis, St Louis, MO. Jeanette Gustat is with Department of Epidemiology, Prevention Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA. Nancy O'Hara Tompkins is with West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown
| | - Nancy O'Hara Tompkins
- Jill Litt and Hannah Reed are with Colorado School of Public Health, Aurora. Danielle Varda and Jessica Retrum are with University of Colorado, School of Public Affairs, Denver. Rachel Tabak is with Prevention Research Center, Brown School of Social Work, Washington University in St Louis, St Louis, MO. Jeanette Gustat is with Department of Epidemiology, Prevention Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA. Nancy O'Hara Tompkins is with West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown
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Anderson LM, Adeney KL, Shinn C, Safranek S, Buckner‐Brown J, Krause LK, Cochrane Public Health Group. Community coalition-driven interventions to reduce health disparities among racial and ethnic minority populations. Cochrane Database Syst Rev 2015; 2015:CD009905. [PMID: 26075988 PMCID: PMC10656573 DOI: 10.1002/14651858.cd009905.pub2] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Racial and ethnic disparities in health status are pervasive at all stages of the life cycle. One approach to reducing health disparities involves mobilizing community coalitions that include representatives of target populations to plan and implement interventions for community level change. A systematic examination of coalition-led interventions is needed to inform decision making about the use of community coalition models. OBJECTIVES To assess effects of community coalition-driven interventions in improving health status or reducing health disparities among racial and ethnic minority populations. SEARCH METHODS We searched MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, Social Science Citation Index, Dissertation Abstracts, System for Information on Grey Literature in Europe (SIGLE) (from January 1990 through September 30, 2013), and Global Health Library (from January 1990 through March 31, 2014). SELECTION CRITERIA Cluster-randomized controlled trials, randomized controlled trials, quasi-experimental designs, controlled before-after studies, interrupted time series studies, and prospective controlled cohort studies. Only studies of community coalitions with at least one racial or ethnic minority group representing the target population and at least two community public or private organizations are included. Major outcomes of interest are direct measures of health status, as well as lifestyle factors when evidence indicates that these have an effect on the direct measures performed. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed risk of bias for each study. MAIN RESULTS Fifty-eight community coalition-driven intervention studies were included. No study was considered to be at low risk of bias. Behavioral change outcomes and health status change outcomes were analyzed separately. Outcomes are grouped by intervention type. Pooled effects across intervention types are not presented because the diverse community coalition-led intervention studies did not examine the same constructs or relationships, and they used dissimilar methodological designs. Broad-scale community system level change strategies led to little or no difference in measures of health behavior or health status (very low-certainty evidence). Broad health and social care system level strategies leds to small beneficial changes in measures of health behavior or health status in large samples of community residents (very low-certainty evidence). Lay community health outreach worker interventions led to beneficial changes in health behavior measures of moderate magnitude in large samples of community residents (very low-certainty evidence). Lay community health outreach worker interventions may lead to beneficial changes in health status measures in large samples of community residents; however, results were not consistent across studies (low-certainty evidence). Group-based health education led by professional staff resulted in moderate improvement in measures of health behavior (very low-certainty evidence) or health status (low-certainty evidence). Adverse outcomes of community coalition-led interventions were not reported. AUTHORS' CONCLUSIONS Coalition-led interventions are characterized by connection of multi-sectoral networks of health and human service providers with ethnic and racial minority communities. These interventions benefit a diverse range of individual health outcomes and behaviors, as well as health and social care delivery systems. Evidence in this review shows that interventions led by community coalitions may connect health and human service providers with ethnic and racial minority communities in ways that benefit individual health outcomes and behaviors, as well as care delivery systems. However, because information on characteristics of the coalitions themselves is insufficient, evidence does not provide an explanation for the underlying mechanisms of beneficial effects. Thus, a definitive answer as to whether a coalition-led intervention adds extra value to the types of community engagement intervention strategies described in this review remains unattainable.
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Affiliation(s)
- Laurie M Anderson
- University of WashingtonDepartment of Epidemiology, School of Public HealthP.O. Box 357236SeattleWAUSA98195‐7236
| | - Kathryn L Adeney
- Washington State Institute for Public PolicyEpidemiology and Public Health110 Fifth Avenue SE, Suite 214SeattleWAUSA98504
| | - Carolynne Shinn
- New Hampshire Department of Health and Human ServicesNew Hampshire Division of Public Health ServicesConcordNew HampshireUSA03301‐3852
| | - Sarah Safranek
- University of WashingtonHealth Sciences Library1959 NE Pacific StreetSeattleWAUSA98195‐7155
| | - Joyce Buckner‐Brown
- Centers for Disease Control and PreventionNational Center for Chronic Disease Prevention and Health Promotion, Division of Community Health, Research Surveillance & Evaluation Branch4770 Buford Hwy NE, Mailstop K81AtlantaGeorgiaUSA30341
| | - L Kendall Krause
- Bill & Melinda Gates FoundationEpidemiology and Surveillance DivisionSeattleWAUSA
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Lemon SC, Goins KV, Schneider KL, Brownson RC, Valko CA, Evenson KR, Eyler AA, Heinrich KM, Litt J, Lyn R, Reed HL, Tompkins NO, Maddock J. Municipal Officials' Participation in Built Environment Policy Development in the United States. Am J Health Promot 2014; 30:42-9. [PMID: 25372234 DOI: 10.4278/ajhp.131021-quan-536] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE This study examined municipal officials' participation in built environment policy initiatives focused on land use design, transportation, and parks and recreation. DESIGN Web-based cross-sectional survey. SETTING Eighty-three municipalities with 50,000 or more residents in eight states. SUBJECTS Four hundred fifty-three elected and appointed municipal officials. MEASURES Outcomes included self-reported participation in land use design, transportation, and parks and recreation policy to increase physical activity. Independent variables included respondent position; perceptions of importance, barriers, and beliefs regarding physical activity and community design and layout; and physical activity partnership participation. ANALYSIS Multivariable logistic regression models. RESULTS Compared to other positions, public health officials had lower participation in land use design (78.3% vs. 29.0%), transportation (78.1% vs. 42.1%), and parks and recreation (67.1% vs. 26.3%) policy. Perceived limited staff was negatively associated with participation in each policy initiative. Perceptions of the extent to which physical activity was considered in community design and physical activity partnership participation were positively associated with participation in each. Perceived lack of collaboration was associated with less land use design and transportation policy participation, and awareness that community design affects physical activity was associated with more participation. Perceived lack of political will was associated with less parks and recreation policy participation. CONCLUSION Public health officials are underrepresented in built environment policy initiatives. Improving collaborations may improve municipal officials' policy participation.
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Eyler AA, Brownson RC, Schmid TL. Making strides toward active living: the policy research perspective. JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE 2013; 19:S5-7. [PMID: 23529056 PMCID: PMC4752125 DOI: 10.1097/phh.0b013e31828c826c] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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