Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/61835
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dc.contributor.author | Moran, J. | - |
dc.contributor.author | Solomon, P. | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | BMC Medical Research Methodology, 2010; 10(1):32-1-32-14 | - |
dc.identifier.issn | 1471-2288 | - |
dc.identifier.issn | 1471-2288 | - |
dc.identifier.uri | http://hdl.handle.net/2440/61835 | - |
dc.description.abstract | Background: Controversy has attended the relationship between risk-adjusted mortality and process-of-care. There would be advantage in the establishment, at the data-base level, of global quantitative indices subsuming the diversity of process-of-care. Methods: A retrospective, cohort study of patients identified in the Australian and New Zealand Intensive Care Society Adult Patient Database, 1993-2003, at the level of geographic and ICU-level descriptors (n = 35), for both hospital survivors and non-survivors. Process-of-care indices were established by analysis of: (i) the smoothed time-hazard curve of individual patient discharge and determined by pharmaco-kinetic methods as area under the hazard-curve (AUC), reflecting the integrated experience of the discharge process, and time-to-peak-hazard (TMAX, in days), reflecting the time to maximum rate of hospital discharge; and (ii) individual patient ability to optimize output (as length-of-stay) for recorded data-base physiological inputs; estimated as a technical production-efficiency (TE, scaled [0,(maximum)1]), via the econometric technique of stochastic frontier analysis. For each descriptor, multivariate correlation-relationships between indices and summed mortality probability were determined. Results: The data-set consisted of 223129 patients from 99 ICUs with mean (SD) age and APACHE III score of 59.2(18.9) years and 52.7(30.6) respectively; 41.7% were female and 45.7% were mechanically ventilated within the first 24 hours post-admission. For survivors, AUC was maximal in rural and for-profit ICUs, whereas TMAX (≥ 7.8 days) and TE (≥ 0.74) were maximal in tertiary-ICUs. For non-survivors, AUC was maximal in tertiary-ICUs, but TMAX (≥ 4.2 days) and TE (≥ 0.69) were maximal in for-profit ICUs. Across descriptors, significant differences in indices were demonstrated (analysisof- variance, P ≤ 0.0001). Total explained variance, for survivors (0.89) and non-survivors (0.89), was maximized by combinations of indices demonstrating a low correlation with mortality probability. Conclusions: Global indices reflecting process of care may be formally established at the level of national patient databases. These indices appear orthogonal to mortality outcome. | - |
dc.description.statementofresponsibility | John L Moran, Patricia J Solomon and the Adult Database Management Committee (ADMC) of the Australian and New Zealand Intensive Care Society (ANZICS) | - |
dc.language.iso | en | - |
dc.publisher | BioMed Central Ltd. | - |
dc.rights | © 2010 Moran et al; licensee BioMed Central Ltd. 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. | - |
dc.source.uri | http://dx.doi.org/10.1186/1471-2288-10-32 | - |
dc.subject | Adult Database Management Committee (ADMC) of the Australian and New Zealand Intensive Care Society (ANZICS) | - |
dc.subject | Humans | - |
dc.subject | Hospitalization | - |
dc.subject | Length of Stay | - |
dc.subject | Hospital Mortality | - |
dc.subject | Analysis of Variance | - |
dc.subject | Logistic Models | - |
dc.subject | Models, Econometric | - |
dc.subject | Probability | - |
dc.subject | Retrospective Studies | - |
dc.subject | Cohort Studies | - |
dc.subject | Databases, Factual | - |
dc.subject | Adult | - |
dc.subject | Aged | - |
dc.subject | Aged, 80 and over | - |
dc.subject | Middle Aged | - |
dc.subject | Survivors | - |
dc.subject | Intensive Care Units | - |
dc.subject | Australia | - |
dc.subject | New Zealand | - |
dc.subject | Female | - |
dc.subject | Male | - |
dc.subject | Evaluation Studies as Topic | - |
dc.subject | Process Assessment, Health Care | - |
dc.title | Global quantitative indices reflecting provider process-of-care: data-base derivation | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1186/1471-2288-10-32 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Moran, J. [0000-0003-2311-0440] | - |
dc.identifier.orcid | Solomon, P. [0000-0002-0667-6947] | - |
Appears in Collections: | Aurora harvest Mathematical Sciences publications |
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hdl_61835.pdf | Published version | 496.39 kB | Adobe PDF | View/Open |
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