96.07 Use of Computerized Process Tracing to Evaluate Family Hospital Choice in Pediatric Surgery.

L. C. Pruitt1, D. K. Cao1, D. E. Skarda1, B. T. Bucher1  1University Of Utah,Division Of Pediatric Surgery, Department Of Surgery, School Of Medicine,Salt Lake City, UT, USA

Introduction:
Little is known about what hospital factors families take into account when selecting a hospital where their child will undergo surgery. These decision-making processes are becoming increasingly important during the regionalization of pediatric surgical care. New technology including computerized process tracing allows us to explore this question in greater complexity.

Methods:
Using a cross-sectional study design, families were recruited from the pediatric surgery outpatient clinic at a single center. Both new consults and post-operative patient families were eligible, as were families of children of any age who had presented to the clinic. Non-English-speaking families were excluded. Using the computerized process tracing tool Mouselab WEB four hospital selection scenarios were developed around elective outpatient pediatric surgical procedures. Each scenario gave participants a choice between three hospitals; for each hospital three factors were given: travel time, in- or out-of-network for insurance, and presence of a fellowship-trained surgeon. The movement of the mouse was tracked allowing the study of what factors they looked at, as well as what they self-reported to be important. In addition to the computerized scenarios, each participant filled out a brief demographic questionnaire and the AHRQ REALM-SF to assess health literacy.

Results:
In this pilot study 24 families were recruited. Health literacy was high in our sample with 83% having a high school or above reading level. In our sample 67% had at least one child who had previously undergone surgery. A hospital was selected that had a fellowship trained surgeon present 89% of the time. Parents of a child of Latino/Hispanic ethnicity were less likely to select a hospital with a fellowship-trained surgeon (X2 (1, N=96)= 4.24, p = 0.04). A hospital was selected that was in-network for insurance 55% of the time. Families selected the hospital with the shortest travel time 67% of the time. Parents reported that the presence of a fellowship-trained surgeon was the most important hospital characteristic to them 58% of the time. In-or out-of-network for insurance was the most important for 42%. None of the families felt that travel time was the most important factor when selecting a hospital. There was no statistically significant difference in the percentage of time they spent looking at the three hospital factors.

Conclusion:
This pilot data shows the feasibility of using computerized process tracing tools in the setting of clinical research to better understand patient and family decision-making. All of the participants were able to use the computerized tools without difficulty and the resulting data gives an additional layer of complexity when compared to simple self-reported survey results. The pilot data suggests that patients are willing to travel further and potentially go to a hospital out-of-network in order to take their child to a center with a fellowship-trained surgeon.