Density of Patient-Sharing Networks

Density of Patient-Sharing Networks: Impact on the Value of Parkinson Care

Vlaanderen, Floris P. (Radboud University Medical Center)
de Man, Yvonne (Radboud University Medical Center)
Tanke, Marit A.C. (Radboud University Medical Center)
Munneke, Marten (Radboud University Medical Center)
Atsma, Femke (Radboud University Medical Center)
Meinders, Marjan J. (Radboud University Medical Center)
Jeurissen, Patrick P.T. (Radboud University Medical Center)
Bloem, Bastiaan R. (Radboud University Medical Center)
Krijthe, J.H. (TU Delft Pattern Recognition and Bioinformatics)
Groenewoud, Stef (Radboud University Medical Center)

2022

Background: Optimal care for Parkinson’s disease (PD) requires coordination and collaboration between providers within a complex care network. Individual patients have personalised networks of their own providers, creating a unique informal network of providers who treat (‘share’) the same patient. These ‘patient-sharing networks’ differ in density, ie, the number of identical patients they share. Denser patient-sharing networks might reflect better care provision, since providers who share many patients might have made efforts to improve their mutual care delivery. We evaluated whether the density of these patient-sharing networks affects patient outcomes and costs. Methods: We analysed medical claims data from all PD patients in the Netherlands between 2012 and 2016. We focused on seven professional disciplines that are commonly involved in Parkinson care. We calculated for each patient the density score: the average number of patients that each patient’s providers shared. Density scores could range from 1.00 (which might reflect poor collaboration) to 83.00 (which might reflect better collaboration). This score was also calculated at the hospital level by averaging the scores for all patients belonging to a specific hospital. Using logistic and linear regression analyses we estimated the relationship between density scores and health outcomes, healthcare utilization, and healthcare costs. Results: The average density score varied considerably (average 6.7, SD 8.2). Adjusted for confounders, higher density scores were associated with a lower risk of PD-related complications (odds ratio [OR]: 0.901; P <.001) and with lower healthcare costs (coefficients:-0.018, P =.005). Higher density scores were associated with more frequent involvement of neurologists (coefficient 0.068), physiotherapists (coefficient 0.052) and occupational therapists (coefficient 0.048) (P values all <.001). Conclusion: Patient sharing networks showed large variations in density, which appears unwanted as denser networks are associated with better outcomes and lower costs.

Density
Parkinson’s Disease
Patient-Sharing Networks

http://resolver.tudelft.nl/uuid:823d7ea1-b95b-454e-b797-60f3c34d85fb

https://doi.org/10.34172/ijhpm.2021.15

International Journal of Health Policy and Management, 11 (7), 1132-1139

Institutional Repository

journal article

© 2022 Floris P. Vlaanderen, Yvonne de Man, Marit A.C. Tanke, Marten Munneke, Femke Atsma, Marjan J. Meinders, Patrick P.T. Jeurissen, Bastiaan R. Bloem, J.H. Krijthe, Stef Groenewoud