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Developing a Performance Measurement Framework and Indicators for Community Health Service Facilities in Urban China

BACKGROUND: China has had no effective and systematic information system to provide guidance for strengthening PHC (Primary Health Care) or account to citizens on progress. We report on the development of the China results-based Logic Model for Community Health Facilities and Stations (CHS) and a se...

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Autores principales: Wong, Sabrina T, Yin, Delu, Bhattacharyya, Onil, Wang, Bin, Liu, Liqun, Chen, Bowen
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2999588/
https://www.ncbi.nlm.nih.gov/pubmed/21087516
http://dx.doi.org/10.1186/1471-2296-11-91
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author Wong, Sabrina T
Yin, Delu
Bhattacharyya, Onil
Wang, Bin
Liu, Liqun
Chen, Bowen
author_facet Wong, Sabrina T
Yin, Delu
Bhattacharyya, Onil
Wang, Bin
Liu, Liqun
Chen, Bowen
author_sort Wong, Sabrina T
collection PubMed
description BACKGROUND: China has had no effective and systematic information system to provide guidance for strengthening PHC (Primary Health Care) or account to citizens on progress. We report on the development of the China results-based Logic Model for Community Health Facilities and Stations (CHS) and a set of relevant PHC indicators intended to measure CHS priorities. METHODS: We adapted the PHC Results Based Logic Model developed in Canada and current work conducted in the community health system in China to create the China CHS Logic Model framework. We used a staged approach by first constructing the framework and indicators and then validating their content through an interactive process involving policy analysis, critical review of relevant literature and multiple stakeholder consultation. RESULTS: The China CHS Logic Model includes inputs, activities, outputs and outcomes with a total of 287 detailed performance indicators. In these indicators, 31 indicators measure inputs, 64 measure activities, 105 measure outputs, and 87 measure immediate (n = 65), intermediate (n = 15), or final (n = 7) outcomes. CONCLUSION: A Logic Model framework can be useful in planning, implementation, analysis and evaluation of PHC at a system and service level. The development and content validation of the China CHS Logic Model and subsequent indicators provides a means for stronger accountability and a clearer sense of overall direction and purpose needed to renew and strengthen the PHC system in China. Moreover, this work will be useful in moving towards developing a PHC information system and performance measurement across districts in urban China, and guiding the pursuit of quality in PHC.
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spelling pubmed-29995882010-12-09 Developing a Performance Measurement Framework and Indicators for Community Health Service Facilities in Urban China Wong, Sabrina T Yin, Delu Bhattacharyya, Onil Wang, Bin Liu, Liqun Chen, Bowen BMC Fam Pract Research Article BACKGROUND: China has had no effective and systematic information system to provide guidance for strengthening PHC (Primary Health Care) or account to citizens on progress. We report on the development of the China results-based Logic Model for Community Health Facilities and Stations (CHS) and a set of relevant PHC indicators intended to measure CHS priorities. METHODS: We adapted the PHC Results Based Logic Model developed in Canada and current work conducted in the community health system in China to create the China CHS Logic Model framework. We used a staged approach by first constructing the framework and indicators and then validating their content through an interactive process involving policy analysis, critical review of relevant literature and multiple stakeholder consultation. RESULTS: The China CHS Logic Model includes inputs, activities, outputs and outcomes with a total of 287 detailed performance indicators. In these indicators, 31 indicators measure inputs, 64 measure activities, 105 measure outputs, and 87 measure immediate (n = 65), intermediate (n = 15), or final (n = 7) outcomes. CONCLUSION: A Logic Model framework can be useful in planning, implementation, analysis and evaluation of PHC at a system and service level. The development and content validation of the China CHS Logic Model and subsequent indicators provides a means for stronger accountability and a clearer sense of overall direction and purpose needed to renew and strengthen the PHC system in China. Moreover, this work will be useful in moving towards developing a PHC information system and performance measurement across districts in urban China, and guiding the pursuit of quality in PHC. BioMed Central 2010-11-18 /pmc/articles/PMC2999588/ /pubmed/21087516 http://dx.doi.org/10.1186/1471-2296-11-91 Text en Copyright ©2010 Wong et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wong, Sabrina T
Yin, Delu
Bhattacharyya, Onil
Wang, Bin
Liu, Liqun
Chen, Bowen
Developing a Performance Measurement Framework and Indicators for Community Health Service Facilities in Urban China
title Developing a Performance Measurement Framework and Indicators for Community Health Service Facilities in Urban China
title_full Developing a Performance Measurement Framework and Indicators for Community Health Service Facilities in Urban China
title_fullStr Developing a Performance Measurement Framework and Indicators for Community Health Service Facilities in Urban China
title_full_unstemmed Developing a Performance Measurement Framework and Indicators for Community Health Service Facilities in Urban China
title_short Developing a Performance Measurement Framework and Indicators for Community Health Service Facilities in Urban China
title_sort developing a performance measurement framework and indicators for community health service facilities in urban china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2999588/
https://www.ncbi.nlm.nih.gov/pubmed/21087516
http://dx.doi.org/10.1186/1471-2296-11-91
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