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Evolving network structure of academic institutions.

ABSTRACT: Today's colleges and universities consist of highly complex structures that dictate interactions between the administration, faculty, and student body. These structures can play a role in dictating the efficiency of policy enacted by the administration and determine the effect that curriculum changes in one department have on other departments. Despite the fact that the features of these complex structures have a strong impact on the institutions, they remain by-and-large unknown in many cases. In this paper we study the academic structure of our home institution of Trinity College in Hartford, CT using the major and minor patterns between graduating students to build a temporal multiplex network describing the interactions between different departments. Using recent network science techniques developed for such temporal networks we identify the evolving community structures that organize departments' interactions, as well as quantify the interdisciplinary centrality of each department. We implement this framework for Trinity College, finding practical insights and applications, but also present it as a general framework for colleges and universities to better understand their own structural makeup in order to better inform academic and administrative policy.

SUBMITTER: Wang S

PROVIDER: S-EPMC6245131 | biostudies-other | 2017

REPOSITORIES: biostudies-other

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Evolving network structure of academic institutions.

Wang Shufan S Avagyan Mariam M Skardal Per Sebastian PS

Applied network science 20170119 1

Today's colleges and universities consist of highly complex structures that dictate interactions between the administration, faculty, and student body. These structures can play a role in dictating the efficiency of policy enacted by the administration and determine the effect that curriculum changes in one department have on other departments. Despite the fact that the features of these complex structures have a strong impact on the institutions, they remain by-and-large unknown in many cases. ...[more]

PMID: 30533509

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Project description:IntroductionPatient age and hospital volume have been shown to affect perioperative outcomes after pediatric pyeloplasty. However, there are few multicenter studies that focus on outcomes at teaching hospitals, where many of the operations are performed.ObjectiveThe goal was to determine if surgical approach, age, case volume, or other factors influence perioperative outcomes in a large contemporary cohort.Study designUsing the clinical database/resource manager (CDB/RM) of the University Health-System Consortium (UHC), children who underwent open, laparoscopic, or robotic pyeloplasty from 2011 to 2014 were identified at 102 academic institutions. Surgery type, age, race, gender, insurance type, geographic region, comorbidities, surgeon volume, and hospital volume were measured. Multivariable mixed-effects logistic regression analysis was used to analyze independent variables associated with complication rates, length of stay (LOS), readmission rates, and ICU admission.ResultsA total of 2219 patients were identified. Complication rates were 2.1%, 2.2%, and 3% after open, laparoscopic, and robotic pyeloplasty, respectively. Approximately 12% of patients had underlying comorbidities. Comorbidities were associated with 3.1 times increased odds for complication (p = 0.001) and a 35% longer length of stay (p < 0.001). Age, gender, insurance type, and hospital volume had no effect on complication rates. A trend was seen towards a lower rate of complications with higher surgeon volume (p = 0.08). The mean LOS was 2.0 days in the open pyeloplasty group, 2.4 days in the laparoscopic group and 1.8 days in the robotic group. Patients who underwent robotic surgery had an estimated LOS 11% shorter than those after open surgery (p = 0.03) (Table). Patients aged 5 years and under who had robotic surgery had an estimated LOS 14% shorter than those after open surgery (p = 0.06). ICU admission and hospital readmission were not associated with any variables.DiscussionThe study is limited by the accuracy of the data submitted by the hospitals and is subject to coding error. Complication rates remain low in all three approaches, validating their safety. Patients, including younger patients, had shorter lengths of stay after robotic surgery. The statistically significant differences between approaches were small so clinically there may not be a difference.ConclusionsThis large multicenter analysis demonstrates that patient comorbidity had the greatest impact upon complication rates and length of stay. Previous work showed that the benefits of laparoscopy were limited to older children. However, this large multicenter study suggests that these benefits now extend to young children with the application of robotics.

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Evolving network structure of academic institutions.

Publications

Evolving network structure of academic institutions.

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