ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2015
External validation of the Hospital-patient One-year Mortality Risk (HOMR) model for predicting death within 1 year after hospital admission.
Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04171830 (Use of an Automated Prospective Clinical Surveillance Tool to Drive Screening for Unmet Palliative Needs Among Patients in the Final Year of Life), which is not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Use of an Automated Prospective Clinical Surveillance Tool to Drive Screening for Unmet Palliative Needs Among Patients in the Final Year of Life
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Factors associated with one-year mortality after hospital discharge: A multicenter prospective cohort study.PloS one · 2023Observational
- Medium and long-term prognosis in hospitalised older adults with multimorbidity. A prospective cohort study.PloS one · 2023Article
- Patient-physician language concordance and quality and safety outcomes among frail home care recipients admitted to hospital in Ontario, Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022Article
- Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare.Patterns (New York, N.Y.) · 2022Article
- Expected clinical utility of automatable prediction models for improving palliative and end-of-life care outcomes: Toward routine decision analysis before implementation.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Case-Ascertainment Models to Identify Adults with Obstructive Sleep Apnea Using Health Administrative Data: Internal and External Validation.Clinical epidemiology · 2021Article
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- Recalibration and External Validation of the Risk Analysis Index: A Surgical Frailty Assessment Tool.Annals of surgery · 2020Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPredicting long-term survival after admission to hospital is helpful for clinical, administrative and research purposes. The Hospital-patient One-year Mortality Risk (HOMR) model was derived and internally validated to predict the risk of death within 1 year after admission. We conducted an external validation of the model in a large multicentre study.
methodsWe used administrative data for all nonpsychiatric admissions of adult patients to hospitals in the provinces of Ontario (2003-2010) and Alberta (2011-2012), and to the Brigham and Women's Hospital in Boston (2010-2012) to calculate each patient's HOMR score at admission. The HOMR score is based on a set of parameters that captures patient demographics, health burden and severity of acute illness. We determined patient status (alive or dead) 1 year after admission using population-based registries.
resultsThe 3 validation cohorts (n = 2,862,996 in Ontario, 210 595 in Alberta and 66,683 in Boston) were distinct from each other and from the derivation cohort. The overall risk of death within 1 year after admission was 8.7% (95% confidence interval [CI] 8.7% to 8.8%). The HOMR score was strongly and significantly associated with risk of death in all populations and was highly discriminative, with a C statistic ranging from 0.89 (95% CI 0.87 to 0.91) to 0.92 (95% CI 0.91 to 0.92). Observed and expected outcome risks were similar (median absolute difference in percent dying in 1 yr 0.3%, interquartile range 0.05%-2.5%).
interpretationThe HOMR score, calculated using routinely collected administrative data, accurately predicted the risk of death among adult patients within 1 year after admission to hospital for nonpsychiatric indications. Similar performance was seen when the score was used in geographically and temporally diverse populations. The HOMR model can be used for risk adjustment in analyses of health administrative data to predict long-term survival among hospital patients.
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