Related Experiment Video
Updated: Aug 17, 2026

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
Published on: October 31, 2010
Improving the use of data for HIV prevention decision making: lessons learned
Richard A Jenkins1, Abigail R Averbach, Ann Robbins
1Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA. rgj2@cdc.gov
Abstract:
HIV prevention community planning was developed to promote identification of local prevention priorities through a process that was evidence-based and provided community input. There are a variety of barriers to effective use of data in community planning which include characteristics of data (availability, timeliness, relevance to planning tasks), characteristics of planning group members and providers of data (e.g., skills in understanding and applying data), and social-organizational aspects of community-planning groups (CPGs). Lessons learned from this project illustrate how to create locally relevant sources of data, build data use skills of CPG members and data providers, and address social-organizational aspects of planning, while also better integrating community planning with implementation of prevention plans. Adaptation of tools and methods is discussed along with future considerations for research and planning practice.
More Related Videos
19:57An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
Published on: March 30, 2014
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
Related Concept Videos
Principles of Disease Surveillance
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Statistical Software for Data Analysis and Clinical Trials
Steps in Outbreak Investigation
Therapeutic Drug Monitoring: Affecting Factors
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...