Data Analysis Needs Assessment of STD Programs for the Self-directed and STD-focused SAS Instruction (SASSI) Curriculum

Background:
Software advances have made it possible for non-statisticians without programming skills to perform statistical analysis. In response to requests from state and local STD programs for data analysis training for their staff, the Division of STD Prevention (DSTDP) is developing a self-directed STD-focused SAS training that takes advantage of these advances. As part of the development of this training, we conducted an assessment of staff skill sets and analytic needs of programs.

Objective:
To identify the needs of state and local STD programs and their employees regarding SAS data management and analysis training.

Method:
Structured interviews both in person and via telephone were conducted with local and state STD program stakeholders (10 management level employees or 15.4% of 65 project areas and 30 employees/learners). DSTDP stakeholders for the project were assessed in both structured focus groups and non-structured communication.

Result:
Preliminary results (n=8) from manager interviews demonstrate a perceived need for SAS training. Six respondents do not use SAS. Two respondents use SAS and have at least one epidemiologist on staff dedicated to analysis of STD program data. The respondents use data to respond to external requests for information (63%), for program decision making (63%) and DIS staff evaluation (38%). Respondents indicated SAS training should include sections on general statistics (63%), merging information (50%), and generating tables and graphics (38%).

Conclusion:
There is a need for SAS data management and analysis training for STD program staff to increase capacity for data analysis and evidence-based decision making at some local and state health departments.

Implications:
Data analysis and evidence-based program management continue to be vital best practices of public health. The needs assessment findings will be used to develop the SASSI curriculum.