Literature DB >> 36220181

Use of linked data to assess the impact of including out-of-hospital deaths on 30-day in-hospital mortality indicators: a retrospective cohort study.

Ania Syrowatka1, Mingyang Li1, Jing Gu1, Ling Yin1, Danielle Rice1, Yana Gurevich2.   

Abstract

BACKGROUND: The Canadian Institute for Health Information (CIHI) annually reports on health system performance indicators, including various 30-day in-hospital mortality rates. We aimed to assess the impact of including out-of-hospital deaths on 3 CIHI indicators: 30-day acute myocardial infarction (AMI) in-hospital mortality, 30-day stroke in-hospital mortality and hospital deaths following major surgery.
METHODS: We followed national cohorts of patients admitted to hospital in 1 of 9 Canadian provinces for AMI, stroke and major surgery for 30-day all-cause mortality in 2 fiscal years (2011/12 and 2016/17). We calculated descriptive statistics to characterize the cohorts. The CIHI Discharge Abstract Database was linked with the Canadian Vital Statistics Death Database using a probabilistic algorithm to identify out-of-hospital deaths. We calculated absolute numbers, relative proportions and 30-day mortality rates for in-hospital, out-of-hospital and all deaths. We compared results between fiscal years.
RESULTS: We found that hospital admissions increased between fiscal years for each indicator; however, cohort characteristics remained consistent. In 2016/17, the number of out-of-hospital deaths that occurred was 325 for AMI, 545 for stroke and 820 for major surgery. The relative proportions of out-of-hospital deaths ranged from 12.3% for AMI to 14.9% for major surgery in 2016/17 (an increase from 10.6% and 13.1%, respectively, from 2011/12). In-hospital mortality rates improved over time for all 3 indicators, while out-of-hospital mortality rates remained consistent between fiscal years at 0.8% for AMI, 1.9%-2.0% for stroke and 0.2%-0.3% for major surgery.
INTERPRETATION: Improvements between fiscal years were attributable to reductions in in-hospital mortality, rather than deaths occurring outside of hospitals. Trends over time were the same for each indicator irrespective of whether in-hospital mortality or all deaths were measured.
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Year:  2022        PMID: 36220181      PMCID: PMC9578748          DOI: 10.9778/cmajo.20210264

Source DB:  PubMed          Journal:  CMAJ Open        ISSN: 2291-0026


  5 in total

1.  Comparison of in-hospital versus 30-day mortality assessments for selected medical conditions.

Authors:  Ann M Borzecki; Cindy L Christiansen; Priscilla Chew; Susan Loveland; Amy K Rosen
Journal:  Med Care       Date:  2010-12       Impact factor: 2.983

2.  Comparison of hospital risk-standardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling.

Authors:  Elizabeth E Drye; Sharon-Lise T Normand; Yun Wang; Joseph S Ross; Geoffrey C Schreiner; Lein Han; Michael Rapp; Harlan M Krumholz
Journal:  Ann Intern Med       Date:  2012-01-03       Impact factor: 25.391

3.  Comparison of 30-day, 90-day and in-hospital postoperative mortality for eight different cancer types.

Authors:  R A M Damhuis; B P L Wijnhoven; P W Plaisier; W J Kirkels; R Kranse; J J van Lanschot
Journal:  Br J Surg       Date:  2012-06-20       Impact factor: 6.939

4.  In- and out-hospital mortality rate in surgical patients.

Authors:  Philippe Dony; Magali Pirson; Jean G Boogaerts
Journal:  Acta Chir Belg       Date:  2017-07-20       Impact factor: 1.090

5.  Comparing hospital mortality--how to count does matter for patients hospitalized for acute myocardial infarction (AMI), stroke and hip fracture.

Authors:  Doris T Kristoffersen; Jon Helgeland; Jocelyne Clench-Aas; Petter Laake; Marit B Veierød
Journal:  BMC Health Serv Res       Date:  2012-10-22       Impact factor: 2.655

  5 in total

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