2017
DOI: 10.1371/journal.pone.0175876
|View full text |Cite
|
Sign up to set email alerts
|

Properties of healthcare teaming networks as a function of network construction algorithms

Abstract: Network models of healthcare systems can be used to examine how providers collaborate, communicate, refer patients to each other, and to map how patients traverse the network of providers. Most healthcare service network models have been constructed from patient claims data, using billing claims to link a patient with a specific provider in time. The data sets can be quite large (106–108 individual claims per year), making standard methods for network construction computationally challenging and thus requiring… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(10 citation statements)
references
References 59 publications
0
10
0
Order By: Relevance
“…We identified two approaches to defining how many shared patients "counted" as a connection between two providers. One approach used a fixed threshold of shared patients (e.g., 1, 2, 5 shared patients) [23][24][25][26][27]. A second approach used relative thresholds.…”
Section: Network Constructionmentioning
confidence: 99%
See 1 more Smart Citation
“…We identified two approaches to defining how many shared patients "counted" as a connection between two providers. One approach used a fixed threshold of shared patients (e.g., 1, 2, 5 shared patients) [23][24][25][26][27]. A second approach used relative thresholds.…”
Section: Network Constructionmentioning
confidence: 99%
“…As opposed to geographic distance (i.e., the physical distance between two providers), distance measures the level of connection or closeness between a pair of providers. Distance may be calculated as the shortest path (geodesic distance) between two nodes or longest path (diameter) of a network [23,27,57].…”
Section: Dyad-and Triad-level Measuresmentioning
confidence: 99%
“…We follow the majority of the literature in this space which ignores temporal sequencing of physician visits, as we are most interested in the presence of a connection between physicians, rather than the specific order of the visits and because it is the most straightforward way to identify physician linkages. Alternative methods in which connections are constructed with directed links based on the order of visits lead to different network properties (Zand et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…Referral data is frequently shared with ACOs, such as a risk-shared insurance database [6], but detailed databases are not typically widely or publicly available. To assess NMS, we used the CareSet DocGraph Hop Teaming dataset [10, 11], which is based on administrative claims data from the Centers for Medicare and Medicaid Services (CMS), where at least 10 unique Medicare beneficiaries are shared between two healthcare providers connected in a directed graph structure, one of the largest graph databases freely available. Unfortunately, this dataset does not include details of exam types, diagnosis codes, and whether the shared patients were explicitly referred (i.e., directed to a radiology group).…”
Section: Introductionmentioning
confidence: 99%