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Measuring the degree of integration for an integrated service network
BACKGROUND: Integration involves the coordination of services provided by autonomous agencies and improves the organization and delivery of multiple services for target patients. Current measures generally do not distinguish between agencies’ perception and expectation. We propose a method for quant...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Igitur publishing
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601536/ https://www.ncbi.nlm.nih.gov/pubmed/23593050 |
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author | Ye, Chenglin Browne, Gina Grdisa, Valerie S Beyene, Joseph Thabane, Lehana |
author_facet | Ye, Chenglin Browne, Gina Grdisa, Valerie S Beyene, Joseph Thabane, Lehana |
author_sort | Ye, Chenglin |
collection | PubMed |
description | BACKGROUND: Integration involves the coordination of services provided by autonomous agencies and improves the organization and delivery of multiple services for target patients. Current measures generally do not distinguish between agencies’ perception and expectation. We propose a method for quantifying the agencies’ service integration. Using the data from the Children’s Treatment Network (CTN), we aimed to measure the degree of integration for the CTN agencies in York and Simcoe. THEORY AND METHODS: We quantified the integration by the agreement between perceived and expected levels of involvement and calculated four scores from different perspectives for each agency. We used the average score to measure the global network integration and examined the sensitivity of the global score. RESULTS: Most agencies’ integration scores were <65%. As measured by the agreement between every other agency’s perception and expectation, the overall integration of CTN in Simcoe and York was 44% (95% CI: 39%–49%) and 52% (95% CI: 48%–56%), respectively. The sensitivity analysis showed that the global scores were robust. CONCLUSION: Our method extends existing measures of integration and possesses a good extent of validity. We can also apply the method in monitoring improvement and linking integration with other outcomes. |
format | Online Article Text |
id | pubmed-3601536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Igitur publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-36015362013-04-16 Measuring the degree of integration for an integrated service network Ye, Chenglin Browne, Gina Grdisa, Valerie S Beyene, Joseph Thabane, Lehana Int J Integr Care Research and Theory BACKGROUND: Integration involves the coordination of services provided by autonomous agencies and improves the organization and delivery of multiple services for target patients. Current measures generally do not distinguish between agencies’ perception and expectation. We propose a method for quantifying the agencies’ service integration. Using the data from the Children’s Treatment Network (CTN), we aimed to measure the degree of integration for the CTN agencies in York and Simcoe. THEORY AND METHODS: We quantified the integration by the agreement between perceived and expected levels of involvement and calculated four scores from different perspectives for each agency. We used the average score to measure the global network integration and examined the sensitivity of the global score. RESULTS: Most agencies’ integration scores were <65%. As measured by the agreement between every other agency’s perception and expectation, the overall integration of CTN in Simcoe and York was 44% (95% CI: 39%–49%) and 52% (95% CI: 48%–56%), respectively. The sensitivity analysis showed that the global scores were robust. CONCLUSION: Our method extends existing measures of integration and possesses a good extent of validity. We can also apply the method in monitoring improvement and linking integration with other outcomes. Igitur publishing 2012-09-18 /pmc/articles/PMC3601536/ /pubmed/23593050 Text en Copyright 2012, International Journal of Integrated Care (IJIC) http://creativecommons.org/licenses/by/3.0/ This work is licensed under a (http://creativecommons.org/licenses/by/3.0) Creative Commons Attribution 3.0 Unported License |
spellingShingle | Research and Theory Ye, Chenglin Browne, Gina Grdisa, Valerie S Beyene, Joseph Thabane, Lehana Measuring the degree of integration for an integrated service network |
title | Measuring the degree of integration for an integrated service network |
title_full | Measuring the degree of integration for an integrated service network |
title_fullStr | Measuring the degree of integration for an integrated service network |
title_full_unstemmed | Measuring the degree of integration for an integrated service network |
title_short | Measuring the degree of integration for an integrated service network |
title_sort | measuring the degree of integration for an integrated service network |
topic | Research and Theory |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601536/ https://www.ncbi.nlm.nih.gov/pubmed/23593050 |
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