Development of a Comprehensive Approach for Serious Traffic Crash Injury Measurement and Reporting Systems (2021) / Chapter Skim
Currently Skimming:
Pages 14-21
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 14... ...
14 4 Data Linkage in States Since using a medical-diagnosis-based definition of serious injury such as MAIS 3+ calls for linkage between crash and medical outcome data, it is important to first assess the condition of state databases and linkage programs. In collaboration with the NCHRP 20-24 (37K)
|
From page 15... ...
15 4.2 Linkage Activities For each database type, states were asked whether they were linking or planning to link from that database to crash data, and if so, was linkage probabilistic or deterministic, direct or indirect, and whether the linkage was related to a previous CODES program. The CODES program, for which federal funding ended in 2012, promoted probabilistic linkage between state crash and medical outcome databases in participating states.
|
From page 16... ...
16 Table 3. Percent of States Engaging in or Planning Linkage Between Crash and State EMS Databases Question Response Percent of States Data Linkage Yes 65 % No 30 % Unknown 5 % Type of Linkage (among states that are linking)
|
From page 17... ...
17 Table 5. Percent of States Engaging in or Planning Linkage Between Crash and State Hospital Discharge Databases Question Response Percent of States Data Linkage Yes 60 % No 32 % Unknown 8 % Type of Linkage (among states that are linking)
|
From page 18... ...
18 Table 7. Percent of States Engaging in or Planning Linkage Between Crash and Vital Records Databases Question Response Percent of States Data Linkage Yes 46 % No 43 % Unknown 10 % Type of Linkage (among states that are linking)
|
From page 19... ...
19 There is enormous variety in identifiers used across states, even for the same type of database. States using probabilistic linkage to medical outcome databases tend to use date of birth, age, gender, date of crash and date of admission.
|
From page 20... ...
20 4.4 Challenges, Priority and Timing The remaining survey questions cover general issues about the challenges and timing of data linkage. The first of these questions asked which of several challenges states face in implementing data linkage.
|
From page 21... ...
21 Figure 3. Percent of respondents who indicated changes that would facilitate implementing data linkage in their state.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.