ArticleBMC health services research2010
Suitability of three indicators measuring the quality of coordination within hospitals.
Article in BMC health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Hospital quality measures: are process indicators associated with hospital standardized mortality ratios in French acute care hospitals?BMC health services research · 2017Article
- Article
- Development and testing of indicators to measure coordination of clinical information and management across levels of care.BMC health services research · 2015Article
- Main barriers to effective implementation of stroke care pathways in France: a qualitative study.BMC health services research · 2014Article
- Method for developing national quality indicators based on manual data extraction from medical records.BMJ quality & safety · 2013Article
- Development and feasibility of a set of quality indicators relative to the timeliness and organisation of care for new breast cancer patients undergoing surgery.BMC health services research · 2012Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundCoordination within hospitals is a major attribute of medical care and influences quality of care. This study tested the validity of 3 indicators covering two key aspects of coordination: the transfer of written information between professionals (medical record content, radiology exam order) and the holding of multidisciplinary team meetings during treatment planning.
methodsThe study was supervised by the French health authorities (COMPAQH project). Data for the three indicators were collected in a panel of 30 to 60 volunteer hospitals by 6 Clinical Research Assistants. The metrological qualities of the indicators were assessed: (i) Feasibility was assessed using a grid of 19 potential problems, (ii) Inter-observer reliability was given by the kappa coefficient () and internal consistency by Cronbach's alpha test, (iii) Discriminatory power was given by an analysis of inter-hospital variability using the Gini coefficient as a measure of dispersion.
resultsOverall, 19281 data items were collected and analyzed. All three indicators presented acceptable feasibility and reliability (, 0.59 to 0.97) and showed wide differences among hospitals (Gini, 0.08 to 0.11), indicating that they are suitable for making comparisons among hospitals.
conclusionThis set of 3 indicators provides a proxy measurement of coordination. Further research on the indicators is needed to find out how they can generate a learning process. The medical record indicator has been included in the French national accreditation procedure for healthcare organisations. The two other indicators are currently being assessed for inclusion.
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