scholarly journals Community Priority Index: utility, applicability and validation for priority setting in community-based participatory research

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Hamisu M. Salihu ◽  
Abraham A. Salinas-Miranda ◽  
Wei Wang ◽  
DeAnne Turner ◽  
Estrellita Lo Berry ◽  
...  
Keyword(s):  
Decision Making ◽  
Participatory Research ◽  
Priority Setting ◽  
Nominal Group Technique ◽  
Community Based Participatory Research ◽  
Self Esteem ◽  
Nominal Group ◽  
Community Settings ◽  
Community Based ◽  
Priority Index

<em>Background</em>. Providing practitioners with an intuitive measure for priority setting that can be combined with diverse data collection methods is a necessary step to foster accountability of the decision-making process in community settings. Yet, there is a lack of easy-to-use, but methodologically robust measures, that can be feasibly implemented for reliable decision-making in community settings. To address this important gap in community based participatory research (CBPR), the purpose of this study was to demonstrate the utility, applicability, and validation of a community priority index in a community-based participatory research setting. <br /><em>Design and Methods</em>. Mixed-method study that combined focus groups findings, nominal group technique with six key informants, and the generation of a Community Priority Index (CPI) that integrated community importance, changeability, and target populations. Bootstrapping and simulation were performed for validation. <br /><em>Results</em>. For pregnant mothers, the top three highly important and highly changeable priorities were: stress (CPI=0.85; 95%CI: 0.70, 1.00), lack of affection (CPI=0.87; 95%CI: 0.69, 1.00), and nutritional issues (CPI=0.78; 95%CI: 0.48, 1.00). For non-pregnant women, top priorities were: low health literacy (CPI=0.87; 95%CI: 0.69, 1.00), low educational attainment (CPI=0.78; 95%CI: 0.48, 1.00), and lack of self-esteem (CPI=0.72; 95%CI: 0.44, 1.00). For children and adolescents, the top three priorities were: obesity (CPI=0.88; 95%CI: 0.69, 1.00), low self-esteem (CPI=0.81; 95%CI: 0.69, 0.94), and negative attitudes toward education (CPI=0.75; 95%CI: 0.50, 0.94). <br /><em>Conclusions</em>. This study demonstrates the applicability of the CPI as a simple and intuitive measure for priority setting in CBPR.

scholarly journals Community-Based Decision Making and Priority Setting Using the R Software: The Community Priority Index

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Hamisu M. Salihu ◽  
Abraham A. Salinas-Miranda ◽  
Arnut Paothong ◽  
Wei Wang ◽  
Lindsey M. King
Keyword(s):  
Decision Making ◽  
Priority Setting ◽  
Multicriteria Decision Making ◽  
Community Settings ◽  
Community Based ◽  
Multicriteria Decision ◽  
Priority Index ◽  
Community Needs ◽  
R Program ◽  
Community Data

This paper outlines how to compute community priority indices in the context of multicriteria decision making in community settings. A simple R function was developed and validated with community needs assessment data. Particularly, the first part of this paper briefly overviews the existing methods for priority setting and reviews the utility of a multicriteria decision-making approach for community-based prioritization. The second part illustrates how community priority indices can be calculated using the freely available R program to handle community data by showing the computational and mathematical steps of CPI (Community Priority Index) with bootstrapped 95% confidence intervals.

scholarly journals Selling the product: Strategies to increase recruitment and retention of Spanish-speaking Latinos in biomedical research

2018 ◽  
Vol 2 (3) ◽  
pp. 147-155 ◽  
Author(s):  
Scott D. Rhodes ◽  
Jorge Alonzo ◽  
Lilli Mann-Jackson ◽  
Amanda E. Tanner ◽  
Aaron T. Vissman ◽  
...  
Keyword(s):  
Health Disparities ◽  
Participatory Research ◽  
Biomedical Research ◽  
Community Based Participatory Research ◽  
Nominal Group ◽  
Research Partnership ◽  
Community Based ◽  
Retention Strategies ◽  
Recruitment And Retention ◽  
Spanish Speaking

IntroductionThe Latino population in the United States is rapidly growing and faces profound health disparities; however, engagement of Latinos in biomedical research remains low. Our community-based participatory research partnership has recruited 2083 Spanish-speaking Latinos into 21 studies over 15 years. We sought to identify and describe the strategies we have used to successfully recruit and retain Spanish-speaking Latinos in research.MethodsWe abstracted and analyzed data from archived study notes, progress reports, team meeting minutes, and in-depth interviews conducted annually from community-based participatory research partnership members. We used a nominal group process to refine and prioritize strategies.ResultsOverall, 13 recruitment strategies and 12 retention strategies emerged. These strategies relied on the creativity and perseverance of the study team and partners.ConclusionsIt is essential that we develop and disseminate effective recruitment and retention strategies that engage Latinos in biomedical research to reduce health disparities and promote health equity.

Health Companion Project: A community-based participatory research model for health promotion in Iran

2017 ◽  
Vol 16 (2) ◽  
pp. 152-172
Author(s):  
Behrouz Yazdanpanah ◽  
Mitra Safari ◽  
Farahosadat Bahreini ◽  
Farzad Vafaei ◽  
Mohsen Salari ◽  
...  
Keyword(s):  
Risk Factors ◽  
Participatory Research ◽  
Priority Setting ◽  
Community Based Participatory Research ◽  
Steering Committee ◽  
Local Health ◽  
Health Providers ◽  
Community Members ◽  
Community Based ◽  
Health Companion

A 4-year (2008–2011) community-based participatory research was implemented in the Kohgiloyeh and Boyerahmad province, Iran. A steering committee was established from academics, policy makers, health officials, and representatives of health sectors. This committee selected six regions within Boyerahmad and Dena counties based on administrative divisions. Health companions consisting of stakeholders, academics, local leaders, health providers, and public representatives were established to guide the project in each region. The health companion groups were enabled by attending workshops dealing with need assessment, priority setting, and research methodology. Health companion groups adopted a Planned Approach to Community Health (PATCH) methodology including community mobilization for data collection, health priority setting, developing of a comprehensive intervention plan, and evaluation. A list of main health issues and their priorities for each region was provided. Subsequently, research topics were determined and six surveys and intervention programs were planned and implemented. After intervention most of top priority health risk factors were decreased and the preventive programs that targeted risk factors were increased significantly. This project is found to be an effective approach for building stronger partnerships between researchers and community members for the development of effective solutions for local health concerns and promote public health.

Sign in / Sign up

Export Citation Format

Share Document