OBJECTIVE: Illustrate an accessible method of bridging data from earlier surveys to the CAHPS Hospital Survey to support hospitals' internal quality improvement efforts. DATA SOURCES/STUDY SETTING: Survey of patients with more than 300,000 annual hospitalizations in a large urban hospital. STUDY DESIGN AND DATA: Six pairs of parallel items from the CAHPS and Picker Hospital Surveys were administered to the same 734 patients. We assessed item comparability and applied bridging adjustments to convert old items to predicted scores on the new CAHPS items. PRINCIPLE FINDINGS: Differences in wording, response options, and cut points for "problem scores" yielded large differences in problem score rates between the Picker and CAHPS Hospital Surveys, requiring bridging formulas. Tetrachoric correlations for 5 of 6 pairs indicated high correspondence (r = 0.71-0.97, P < 0.001) in the underlying constructs assessed by the 2 surveys, validating the use of bridging. Bridged scores contain less information per observation than directly measured new scores, but with sufficient sample sizes they can be used to detect trends across the transition. CONCLUSIONS: Hospitals can use the methodology described here to trend their scores from a previous survey to the CAHPS Hospital Survey with sufficient precision to support ongoing quality improvement efforts. Hospitals should administer an instrument containing pairs of old and new items to enough patients to yield at least 625 completes to measure bridging parameters precisely. Where correspondence is high, old items can and should be replaced by CAHPS items. Important old items with weaker associations with new items may be retained.
OBJECTIVE: Illustrate an accessible method of bridging data from earlier surveys to the CAHPS Hospital Survey to support hospitals' internal quality improvement efforts. DATA SOURCES/STUDY SETTING: Survey of patients with more than 300,000 annual hospitalizations in a large urban hospital. STUDY DESIGN AND DATA: Six pairs of parallel items from the CAHPS and Picker Hospital Surveys were administered to the same 734 patients. We assessed item comparability and applied bridging adjustments to convert old items to predicted scores on the new CAHPS items. PRINCIPLE FINDINGS: Differences in wording, response options, and cut points for "problem scores" yielded large differences in problem score rates between the Picker and CAHPS Hospital Surveys, requiring bridging formulas. Tetrachoric correlations for 5 of 6 pairs indicated high correspondence (r = 0.71-0.97, P < 0.001) in the underlying constructs assessed by the 2 surveys, validating the use of bridging. Bridged scores contain less information per observation than directly measured new scores, but with sufficient sample sizes they can be used to detect trends across the transition. CONCLUSIONS: Hospitals can use the methodology described here to trend their scores from a previous survey to the CAHPS Hospital Survey with sufficient precision to support ongoing quality improvement efforts. Hospitals should administer an instrument containing pairs of old and new items to enough patients to yield at least 625 completes to measure bridging parameters precisely. Where correspondence is high, old items can and should be replaced by CAHPS items. Important old items with weaker associations with new items may be retained.
Authors: Megan K Beckett; Marc N Elliott; Q Burkhart; Paul D Cleary; Nate Orr; Julie A Brown; Sarah Gaillot; Karin Liu; Ron D Hays Journal: Health Serv Res Date: 2019-05-31 Impact factor: 3.402
Authors: Flora Tzelepis; Tara Clinton-McHarg; Christine L Paul; Robert W Sanson-Fisher; Douglas Joshua; Mariko L Carey Journal: Int J Environ Res Public Health Date: 2018-03-19 Impact factor: 3.390