Development of the Diabetes Indicators and Data Sources Internet Tool (DIDIT).
Developing a Web-based tool that involves the input, buy-in, and collaboration of multiple stakeholders and contractors is a complex process. Several elements facilitated the development of the Web-based Diabetes Indicators and Data Sources Internet Tool (DIDIT). The DIDIT is designed to enhance the ability of staff within the state-based Diabetes Prevention and Control Programs (DPCPs) and the Centers for Disease Control and Prevention (CDC) to perform diabetes surveillance. It contains information on 38 diabetes indicators (measures of health or factors associated with health) and 12 national- and state-level data sources. Developing the DIDIT required one contractor to conduct research on content for diabetes indicators and data sources and another contractor to develop the Web-based application to house and manage the information. During 3 years, a work group composed of representatives from the DPCPs and the Division of Diabetes Translation (DDT) at the CDC guided the development process by 1) gathering information on and communicating the needs of users and their vision for the DIDIT, 2) reviewing and approving content, and 3) providing input into the design and system functions. Strong leadership and vision of the project lead, clear communication and collaboration among all team members, and a commitment from the management of the DDT were essential elements in developing and implementing the DIDIT. Expertise in diabetes surveillance and software development, enthusiasm, and dedication were also instrumental in developing the DIDIT.
Mukhtar
Qaiser
Q
Division of Diabetes Translation, Centers for Disease Control and Prevention, 4770 Buford Hwy, Mail Stop K-10, Atlanta, GA 30341, USA. qam2@cdc.gov
Mehta
Prachi
P
Brody
Erica R
ER
Camponeschi
Jenny
J
Friedrichs
Michael
M
Kemple
Angela M
AM
Ralls
Brenda
B
D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology* / Q000503:physiopathology / Q000517:prevention & control; D017144:Focus Groups / Q000379:methods; D006801:Humans; D007256:Information Systems / Q000458:organization & administration*; D020407:Internet; D011159:Population Surveillance / Q000379:methods*; D015995:Prevalence; D014481:United States / Q000453:epidemiology