An Outcome-Weighted Network Model for Characterizing Collaboration.
Shared patient encounters form the basis of collaborative relationships, which are crucial to the success of complex and interdisciplinary teamwork in healthcare. Quantifying the strength of these relationships using shared risk-adjusted patient outcomes provides insight into interactions that occur...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5051930?pdf=render |
| _version_ | 1817980791820386304 |
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| author | Matthew B Carson Denise M Scholtens Conor N Frailey Stephanie J Gravenor Gayle E Kricke Nicholas D Soulakis |
| author_facet | Matthew B Carson Denise M Scholtens Conor N Frailey Stephanie J Gravenor Gayle E Kricke Nicholas D Soulakis |
| author_sort | Matthew B Carson |
| collection | DOAJ |
| description | Shared patient encounters form the basis of collaborative relationships, which are crucial to the success of complex and interdisciplinary teamwork in healthcare. Quantifying the strength of these relationships using shared risk-adjusted patient outcomes provides insight into interactions that occur between healthcare providers. We developed the Shared Positive Outcome Ratio (SPOR), a novel parameter that quantifies the concentration of positive outcomes between a pair of healthcare providers over a set of shared patient encounters. We constructed a collaboration network using hospital emergency department patient data from electronic health records (EHRs) over a three-year period. Based on an outcome indicating patient satisfaction, we used this network to assess pairwise collaboration and evaluate the SPOR. By comparing this network of 574 providers and 5,615 relationships to a set of networks based on randomized outcomes, we identified 295 (5.2%) pairwise collaborations having significantly higher patient satisfaction rates. Our results show extreme high- and low-scoring relationships over a set of shared patient encounters and quantify high variability in collaboration between providers. We identified 29 top performers in terms of patient satisfaction. Providers in the high-scoring group had both a greater average number of associated encounters and a higher percentage of total encounters with positive outcomes than those in the low-scoring group, implying that more experienced individuals may be able to collaborate more successfully. Our study shows that a healthcare collaboration network can be structurally evaluated to characterize the collaborative interactions that occur between healthcare providers in a hospital setting. |
| first_indexed | 2024-04-13T22:57:45Z |
| format | Article |
| id | doaj.art-87d94ec29f0e477f978f6e3ba2ec5ced |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T22:57:45Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-87d94ec29f0e477f978f6e3ba2ec5ced2022-12-22T02:25:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011110e016386110.1371/journal.pone.0163861An Outcome-Weighted Network Model for Characterizing Collaboration.Matthew B CarsonDenise M ScholtensConor N FraileyStephanie J GravenorGayle E KrickeNicholas D SoulakisShared patient encounters form the basis of collaborative relationships, which are crucial to the success of complex and interdisciplinary teamwork in healthcare. Quantifying the strength of these relationships using shared risk-adjusted patient outcomes provides insight into interactions that occur between healthcare providers. We developed the Shared Positive Outcome Ratio (SPOR), a novel parameter that quantifies the concentration of positive outcomes between a pair of healthcare providers over a set of shared patient encounters. We constructed a collaboration network using hospital emergency department patient data from electronic health records (EHRs) over a three-year period. Based on an outcome indicating patient satisfaction, we used this network to assess pairwise collaboration and evaluate the SPOR. By comparing this network of 574 providers and 5,615 relationships to a set of networks based on randomized outcomes, we identified 295 (5.2%) pairwise collaborations having significantly higher patient satisfaction rates. Our results show extreme high- and low-scoring relationships over a set of shared patient encounters and quantify high variability in collaboration between providers. We identified 29 top performers in terms of patient satisfaction. Providers in the high-scoring group had both a greater average number of associated encounters and a higher percentage of total encounters with positive outcomes than those in the low-scoring group, implying that more experienced individuals may be able to collaborate more successfully. Our study shows that a healthcare collaboration network can be structurally evaluated to characterize the collaborative interactions that occur between healthcare providers in a hospital setting.http://europepmc.org/articles/PMC5051930?pdf=render |
| spellingShingle | Matthew B Carson Denise M Scholtens Conor N Frailey Stephanie J Gravenor Gayle E Kricke Nicholas D Soulakis An Outcome-Weighted Network Model for Characterizing Collaboration. PLoS ONE |
| title | An Outcome-Weighted Network Model for Characterizing Collaboration. |
| title_full | An Outcome-Weighted Network Model for Characterizing Collaboration. |
| title_fullStr | An Outcome-Weighted Network Model for Characterizing Collaboration. |
| title_full_unstemmed | An Outcome-Weighted Network Model for Characterizing Collaboration. |
| title_short | An Outcome-Weighted Network Model for Characterizing Collaboration. |
| title_sort | outcome weighted network model for characterizing collaboration |
| url | http://europepmc.org/articles/PMC5051930?pdf=render |
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