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.

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.

Development of Acute Myocardial Infarction Mortality and Readmission Models for Public Reporting on Hospital Performance in Canada.

BACKGROUND: Given changes in the care and outcomes of acute myocardial infarction (AMI) patients over the past several decades, we sought to develop prediction models that could be used to generate accurate risk-adjusted mortality and readmission outcomes for hospitals in current practice across Canada. METHODS: A Canadian national expert panel was convened to define appropriate AMI patients for reporting and develop prediction models. Preliminary candidate variable evaluation was conducted using Ontario patients hospitalized with a most responsible diagnosis of AMI from April 1, 2015 to March 31, 2018. National data from the Canadian Institute for Health Information was used to develop AMI prediction models. The main outcomes were 30-day all-cause in-hospital mortality and 30-day urgent all-cause readmission. Discrimination of these models (measured by c-statistics) was compared with that of existing Canadian Institute for Health Information models in the same study cohort. RESULTS: The AMI mortality model was assessed in 54,240 Ontario AMI patients and 153,523 AMI patients across Canada. We observed a 30-day in-hospital mortality rate of 6.3%, and a 30-day all-cause urgent readmission rate of 10.7% in Canada. The final Canadian AMI mortality model included 12 variables and had a c-statistic of 0.834. For readmission, the model had 13 variables and a c-statistic of 0.679. Discrimination of the new AMI models had higher c-statistics compared with existing models (c-statistic 0.814 for mortality; 0.673 for readmission). CONCLUSIONS: In this national collaboration, we developed mortality and readmission models that are suitable for profiling performance of hospitals treating AMI patients in Canada.

CONTEXTE: Compte tenu des changements apportés au cours des dernières décennies aux soins des patients ayant subi un infarctus aigu du myocarde (IAM) et aux issues d'un tel événement, nous avons voulu élaborer des modèles prédictifs pouvant servir à calculer de façon précise les résultats relatifs à la mortalité et aux réadmissions, ajustés selon les risques, pour les hôpitaux dans la pratique actuelle au Canada. MÉTHODOLOGIE: Un groupe national d'experts canadiens a été mis sur pied et a reçu le mandat de définir les critères appropriés applicables aux patients ayant subi un IAM aux fins de déclaration des cas et d'élaborer des modèles prédictifs. L'évaluation préliminaire des variables proposées a été effectuée à partir de patients hospitalisés en Ontario entre le 1er avril 2015 et le 31 mars 2018 chez lesquels l'IAM était le diagnostic principal à l'origine de l'hospitalisation. Les données à l'échelle nationale de l'Institut canadien d'information sur la santé (ICIS) ont été utilisées pour élaborer des modèles prédictifs d'IAM. Les deux principales issues évaluées étaient la mortalité hospitalière toutes causes confondues à 30 jours et la réadmission urgente toutes causes confondues à 30 jours. Le pouvoir discriminant de ces modèles (mesuré par la statistique C) a été comparé à celui des modèles existants de l'ICIS dans la même cohorte de l'étude. RÉSULTATS: Le modèle de mortalité par IAM a été évalué auprès de patients ayant subi un IAM, dont 54 240 en Ontario et 153 523 dans l'ensemble du Canada. Nous avons observé un taux de mortalité hospitalière à 30 jours de 6,3 % et un taux de réadmission urgente à 30 jours toutes causes confondues de 10,7 % au Canada. Le modèle canadien final de prédiction de la mortalité par IAM était constitué de 12 variables et avait une statistique C de 0,834. Pour la réadmission, le modèle comportait 13 variables et présentait une statistique C de 0,679. Le pouvoir discriminant des nouveaux modèles d'IAM présentait une statistique C supérieure à celle des modèles existants (statistique C de 0,814 pour la mortalité et de 0,673 pour la réadmission). CONCLUSIONS: Dans le cadre de cette collaboration nationale, nous avons élaboré des modèles prédictifs de la mortalité et de la réadmission hospitalière qui permettent d'établir un profil des résultats obtenus par les hôpitaux traitant des patients ayant subi un IAM au Canada.

Examining Cesarean Section Rates in Canada Using the Modified Robson Classification.

OBJECTIVE: Canada's cesarean delivery (CD) rate continues to increase. The Society of Obstetricians and Gynaecologists of Canada advocates the use of the modified Robson classification for comparisons. This study describes national and provincial CD rates according to this classification system. METHODS: All 2016-2017 in-hospital births in Canada (outside Québec) reported to the Discharge Abstract Database were categorized using the modified Robson classification system. CD rates, group size, and contributions of each group to the overall volume of CD were reported. Rates by province and hospital peer group were also examined (Canadian Task Force Classification III). RESULTS: A total of 286 201 women gave birth; among these, 83 262 (29.1%) had CDs. Robson group 5 (term singleton previous CD) had a CD rate of 80.5% and was the largest contributing group to the overall number of CD (36.6%). Women whose labour was induced (Robson group 2A) had a CD rate almost double the rate of women with spontaneous labour (Robson group 1): 33.5% versus 18.4%. These latter two groups made the next largest contributions to overall CD (15.7% and 14.1%, respectively). There were substantial variations in CD rates across provinces and among hospital peer groups. CONCLUSION: The study found large variations in CD rates across provinces and hospitals within each Robson group, thus suggesting that examining variations to determine the groups contributing the most to CD rates (Robson groups 5, 2A, and 1) may provide valuable insight for reducing CD rates. This study provides a benchmark for measuring the impact of future initiatives to reduce CD rates in Canada.

A World Health Organization field trial assessing a proposed ICD-11 framework for classifying patient safety events.

OBJECTIVE: To assess the utility of the proposed World Health Organization (WHO)'s International Classification of Disease (ICD) framework for classifying patient safety events. SETTING: Independent classification of 45 clinical vignettes using a web-based platform. STUDY PARTICIPANTS: The WHO's multi-disciplinary Quality and Safety Topic Advisory Group. MAIN OUTCOME MEASURE(S): The framework consists of three concepts: harm, cause and mode. We defined a concept as 'classifiable' if more than half of the raters could assign an ICD-11 code for the case. We evaluated reasons why cases were nonclassifiable using a qualitative approach. RESULTS: Harm was classifiable in 31 of 45 cases (69%). Of these, only 20 could be classified according to cause and mode. Classifiable cases were those in which a clear cause and effect relationship existed (e.g. medication administration error). Nonclassifiable cases were those without clear causal attribution (e.g. pressure ulcer). Of the 14 cases in which harm was not evident (31%), only 5 could be classified according to cause and mode and represented potential adverse events. Overall, nine cases (20%) were nonclassifiable using the three-part patient safety framework and contained significant ambiguity in the relationship between healthcare outcome and putative cause. CONCLUSIONS: The proposed framework enabled classification of the majority of patient safety events. Cases in which potentially harmful events did not cause harm were not classifiable; additional code categories within the ICD-11 are one proposal to address this concern. Cases with ambiguity in cause and effect relationship between healthcare processes and outcomes remain difficult to classify.

Systematic approach to evaluating and confirming the utility of a suite of national health system performance (HSP) indicators in Canada: a modified Delphi study.

OBJECTIVES: Evaluating an existing suite of health system performance (HSP) indicators for continued reporting using a systematic criteria-based assessment and national consensus conference. DESIGN: Modified Delphi approach with technical and leadership groups, an online survey of stakeholders and convening a national consensus conference. SETTING: A national health information steward, the Canadian Institute for Health Information (CIHI). PARTICIPANTS: A total of 73 participants, comprised 61 conference attendants/stakeholders from across Canada and 12 national health information steward staff. PRIMARY AND SECONDARY OUTCOME MEASURES: Indicator dispositions of retention, additional stakeholder consultation, further redevelopment or retirement. RESULTS: 4 dimensions (usability, importance, scientific soundness and feasibility) typically used to select measures for reporting were expanded to 18 criteria grouped under the 4 dimensions through a process of research and testing. Definitions for each criterion were developed and piloted. Once the definitions were established, 56 of CIHI's publicly reported HSP indicators were evaluated against the criteria using modified Delphi approaches. Of the 56 HSP indicators evaluated, 9 measures were ratified for retirement, 7 were identified for additional consultation and 3 for further research and development. A pre-Consensus Conference survey soliciting feedback from stakeholders on indicator recommendations received 48 responses (response rate of 79%). CONCLUSIONS: A systematic evaluation of HSP indicators informed the development of objective recommendations for continued reporting. The evaluation was a fruitful exercise to identify technical considerations for calculating indicators, furthering our understanding of how measures are used by stakeholders, as well as harmonising actions that could be taken to ensure relevancy, reduce indicator chaos and build consensus with stakeholders.

Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data.

BACKGROUND: Existing administrative data patient safety indicators (PSIs) have been limited by uncertainty around the timing of onset of included diagnoses. OBJECTIVE: We undertook de novo PSI development through a data-driven approach that drew upon "diagnosis timing" information available in some countries' administrative hospital data. RESEARCH DESIGN: Administrative database analysis and modified Delphi rating process. SUBJECTS: All hospitalized adults in Canada in 2009. MEASURES: We queried all hospitalizations for ICD-10-CA diagnosis codes arising during hospital stay. We then undertook a modified Delphi panel process to rate the extent to which each of the identified diagnoses has a potential link to suboptimal quality of care. We grouped the identified quality/safety-related diagnoses into relevant clinical categories. Lastly, we queried Alberta hospital discharge data to assess the frequency of the newly defined PSI events. RESULTS: Among 2,416,413 national hospitalizations, we found 2590 unique ICD-10-CA codes flagged as having arisen after admission. Seven panelists evaluated these in a 2-round review process, and identified a listing of 640 ICD-10-CA diagnosis codes judged to be linked to suboptimal quality of care and thus appropriate for inclusion in PSIs. These were then grouped by patient safety experts into 18 clinically relevant PSI categories. We then analyzed data on 2,381,652 Alberta hospital discharges from 2005 through 2012, and found that 134,299 (5.2%) hospitalizations had at least 1 PSI diagnosis. CONCLUSION: The resulting work creates a foundation for a new set of PSIs for routine large-scale surveillance of hospital and health system performance.

Enhanced capture of healthcare-related harms and injuries in the 11th revision of the International Classification of Diseases (ICD-11).

The World Health Organization (WHO) plans to submit the 11th revision of the International Classification of Diseases (ICD) to the World Health Assembly in 2018. The WHO is working toward a revised classification system that has an enhanced ability to capture health concepts in a manner that reflects current scientific evidence and that is compatible with contemporary information systems. In this paper, we present recommendations made to the WHO by the ICD revision's Quality and Safety Topic Advisory Group (Q&S TAG) for a new conceptual approach to capturing healthcare-related harms and injuries in ICD-coded data. The Q&S TAG has grouped causes of healthcare-related harm and injuries into four categories that relate to the source of the event: (a) medications and substances, (b) procedures, (c) devices and (d) other aspects of care. Under the proposed multiple coding approach, one of these sources of harm must be coded as part of a cluster of three codes to depict, respectively, a healthcare activity as a 'source' of harm, a 'mode or mechanism' of harm and a consequence of the event summarized by these codes (i.e. injury or harm). Use of this framework depends on the implementation of a new and potentially powerful code-clustering mechanism in ICD-11. This new framework for coding healthcare-related harm has great potential to improve the clinical detail of adverse event descriptions, and the overall quality of coded health data.

Palliative care coding practices in Canada since the introduction of guidelines and the HSMR indicator.

OBJECTIVES: This study examines palliative care (PC) coding practices since the introduction of a national coding standard and assesses a potential association with hospital standardised mortality ratio (HSMR) results. SETTING: Acute-care hospitals in Canada. PARTICIPANTS: ∼16 million hospital discharges recorded in Canadian Institute for Health Information (CIHI)'s Discharge Abstract Database from April 2006 to March 2013. PRIMARY AND SECONDARY OUTCOME MEASURES: In-hospital mortality, patient characteristics and service utilisation among all hospitalisations, HSMR cases and palliative patients. METHODS: We assessed all separations in the Discharge Abstract Database between fiscal years 2006-2007 and 2012-2013 for PC cases at national, provincial and facility levels. In-hospital mortality was measured among all hospitalisations (including HSMR cases) and palliative patients. We calculated a variant HSMR-PC that included PC cases. RESULTS: There was an increase in the frequency of PC coding over the study period (from 0.78% to 1.12% of all separations), and year-over-year improvement in adherence to PC coding guidelines. Characteristics and resource utilisation of PC patients remained stable within provinces. Crude mortality among HSMR cases declined from 8.7% to 7.3%. National HSMR declined by 22% during the study period, compared with a 17% decline in HSMR-PC. Provincial results for HSMR-PC are not significantly different from regular HSMR calculation. CONCLUSIONS: The introduction of a national coding standard resulted in increased identification of palliative patients and services. Aside from PC coding practices, we note numerous independent drivers of improving HSMR results, notably, a significant reduction of in-hospital mortality, and increase in admissions accompanied by a greater number of coded comorbidities. While PC impacts the HSMR indicator, its influence remains modest.

Assessing the burden of hospitalized and community-care heart failure in Canada.

BACKGROUND: The surveillance of heart failure (HF) is currently conducted using either survey or hospital data, which have many limitations. Because Canada is collecting medical information in administrative health data, the present study seeks to propose methods for the national surveillance of HF using linked population-based data. METHODS: Linked administrative data from 5 Canadian provinces were analyzed to estimate prevalence, incidence, and mortality rates for persons with HF between 1996/1997 and 2008/2009 using 2 case definitions: (1) 1 hospitalization with an HF diagnosis in any field (H_Any) and (2) 1 hospitalization in any field or at least 2 physician claims within a 1-year period (H_Any_2P). One hospitalization with an HF diagnosis code in the most responsible diagnosis field (H_MR) was also compared. Rates were calculated for individuals aged ≥ 40 years. RESULTS: In 2008/2009, combining the 5 provinces (approximately 82% of Canada's total population), both age-standardized HF prevalence and incidence were underestimated by 39% and 33%, respectively, with H_Any when compared with H_Any_2P. Mortality was higher in patients with H_MR compared with H_Any. The degree of underestimation varied by province and by age, with older age groups presenting the largest differences. Prevalence estimates were stable over the years, especially for the H_Any_2P case definition. CONCLUSIONS: The prevalence and incidence of HF using inpatient data alone likely underestimates the population rates by at least 33%. The addition of physician claims data is likely to provide a more inclusive estimate of the burden of HF in Canada.

ICD-11 for quality and safety: overview of the WHO Quality and Safety Topic Advisory Group.

This paper outlines the approach that the WHO's Family of International Classifications (WHO-FIC) network is undertaking to create ICD-11. We also outline the more focused work of the Quality and Safety Topic Advisory Group, whose activities include the following: (i) cataloguing existing ICD-9 and ICD-10 quality and safety indicators; (ii) reviewing ICD morbidity coding rules for main condition, diagnosis timing, numbers of diagnosis fields and diagnosis clustering; (iii) substantial restructuring of the health-care related injury concepts coded in the ICD-10 chapters 19/20, (iv) mapping of ICD-11 quality and safety concepts to the information model of the WHO's International Classification for Patient Safety and the AHRQ Common Formats; (v) the review of vertical chapter content in all chapters of the ICD-11 beta version and (vi) downstream field testing of ICD-11 prior to its official 2015 release. The transition from ICD-10 to ICD-11 promises to produce an enhanced classification that will have better potential to capture important concepts relevant to measuring health system safety and quality-an important use case for the classification.

Surveillance of ischemic heart disease should include physician billing claims: population-based evidence from administrative health data across seven Canadian provinces.

BACKGROUND: Canadian provinces and territories routinely collect health information for administrative purposes. This study used Canadian medical and hospital administrative data for population-based surveillance of diagnosed ischemic heart disease (IHD). METHODS: Hospital discharge abstracts and physician billing claims data from seven provinces were analyzed to estimate prevalence and incidence of IHD using three validated algorithms: a) one hospital discharge abstract with an IHD diagnosis or procedure code (1H); b) 1H or at least three physician claims within a one-year period (1H3P) and c) 1H or at least two physician claims within a one-year period (1H2P). Crude and age-standardized prevalence and incidence rates were calculated for Canadian adults aged 20 +. RESULTS: IHD prevalence and incidence varied by province, were consistently higher among males than females, and increased with age. Prevalence and incidence were lower using the 1H method compared to using the 1H2P or 1H3P methods in all provinces studied for all age groups. For instance, in 2006/07, crude prevalence by province ranged from 3.4%-5.5% (1H), from 4.9%-7.7% (1H3P) and from 6.0%-9.2% (1H2P). Similarly, crude incidence by province ranged from 3.7-5.9 per 1,000 (1H), from 5.0-6.9 per 1,000 (1H3P) and from 6.1-7.9 per 1,000 (1H2P). CONCLUSIONS: Study findings show that incidence and prevalence of diagnosed IHD will be underestimated by as much as 50% using inpatient data alone. The addition of physician claims data are needed to better assess the burden of IHD in Canada.

Administrative hospitalization database validation of cardiac procedure codes.

BACKGROUND: Although cardiac procedures are commonly used to treat cardiovascular disease, they are costly. Administrative data sources could be used to track cardiac procedures, but sources of such data have not been validated against clinical registries. OBJECTIVES: To examine accuracy of cardiac procedure coding in administrative databases versus a prospective clinical registry. SAMPLE: We examined a total of 182,018 common cardiac procedures including percutaneous coronary intervention (PCI), coronary artery bypass graft (CABG) surgery, valve surgery, and cardiac catheterization procedures during fiscal years 2005 and 2006 across 18 cardiac centers in Ontario, Canada. RESEARCH DESIGN: Accuracy of codes in the Canadian Institute for Health Information (CIHI) administrative databases were compared with the clinical registry of the Cardiac Care Network. RESULTS: Comparing 17,511 CIHI and 17,404 registry procedures for CABG surgery, the positive predictive value (PPV) of CIHI-coded CABG surgery was 97%. In 6229 CIHI-coded and 5885 registry-coded valve surgery procedures, the PPV of the administrative data source was 96%. Comparing 38,527 PCI procedures in CIHI to 38,601 in the registry, the PPV of CIHI was 94%. Among 119,751 CIHI-coded and 111,725 registry-coded cardiac catheterization procedures, the PPV of administrative data was 94%. When the procedure date window was expanded from the same day to ±1 days, the PPV was 96% (PCI) and exceeded 98% (CABG surgery), 97% (valve surgery), and 95% (cardiac catheterization). CONCLUSIONS: Using a clinical registry as the gold standard, the coding accuracy of common cardiac procedures in the CIHI administrative database was high.

Comorbidities and mortality associated with hospitalized heart failure in Canada.

BACKGROUND: Heart failure (HF) is a leading morbid cause of hospitalization and death. HF is often accompanied by comorbid conditions, increasing the health care burden. This study describes hospital mortality and identifies comorbid conditions associated with HF. METHODS: Acute care hospital separations in 2005-2006, with a diagnosis of HF I50, I500, I501, I509 (The International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Canada [ICD-10-CA]) were identified from all Canadian jurisdictions except Québec. RESULTS: A total of 2,457,527 hospital separations among 1,812,923 individuals, identifying 8,212,869 diagnoses were reported. Among those, a total of 33,693 (1.9%) of all hospitalized individuals had a most responsible diagnosis of HF, accounting for 42,399 hospital separations. Further, HF was coded 77,049 times as a comorbid diagnosis, altogether occurring in 4.9% of all hospitalizations. The most common primary diagnoses associated with comorbid HF were acute myocardial infarction (AMI), chronic obstructive pulmonary disease (COPD), and pneumonia. Seniors had a much higher hospitalization rate due to HF. Hospitalized individuals with a primary diagnosis of HF had an almost 3-fold higher 30-day in-hospital mortality rate and nearly double the mean hospital stay than that for all causes. On average, hospitalizations with a primary diagnosis of HF had 3.9 comorbidities, most commonly chronic ischemic heart disease (IHD), atrial fibrillation and flutter, diabetes, renal failure, etc.; 1.7 times greater for HF than for all causes. CONCLUSIONS: HF has a high in-hospital mortality rate particularly among the elderly and is associated with many cardiac and noncardiac conditions. HF necessitates long hospital stays, which increases the burden on the health care system in Canada.

Estimating the number of coronary artery bypass graft and percutaneous coronary intervention procedures in Canada: a comparison of cardiac registry and Canadian Institute for Health Information data sources.

BACKGROUND: Provincial cardiac registries and the Canadian Institute for Health Information (CIHI) pan-Canadian administrative databases are invaluable tools for understanding Canadian cardiovascular health and health care. Both sources are used to enumerate cardiovascular procedures performed in Canada. OBJECTIVE: To examine the level of agreement between provincial cardiac registry data and CIHI data regarding procedural counts for coronary artery bypass grafts (CABGs) and percutaneous coronary interventions (PCIs). METHODS: CIHI staff obtained CABG and PCI counts from seven provinces that, in 2004, performed these procedures and had a cardiac registry (ie, British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, Nova Scotia, and Newfoundland and Labrador). Structured mail questionnaires, and e-mail and telephone follow-ups elicited information from a designated registry respondent. The CIHI derived its counts of CABG and PCI procedures by applying the geographical boundaries, procedural definitions and analytical case criteria used by the cardiac registries to CIHI inpatient and day procedure databases. Steps were taken to reduce double-counting procedures when combining results from the two CIHI databases. Two measures were calculated: the absolute difference between registry and CIHI estimates, and the per cent agreement between estimates from the two sources. RESULTS: All seven cardiac registries identified as eligible for the study participated. Agreement was high between the two sources for CABG (98.8%). For PCI, the level of agreement was high (97.9%) when CIHI sources were supplemented with day procedure data from Alberta. CONCLUSIONS: The high level of agreement between cardiac registry and CIHI administrative data should increase confidence in estimates of CABG and PCI counts derived from these sources.

Health indicators 2009: a focus on cardiac care in Canada.

Close to 18,000 Canadians die each year after having had a heart attack. Heart attacks are costly to the system: ischemic heart disease (including heart attacks) cost the Canadian healthcare system $8.1 billion in 2000. The Canadian Institute for Health Information's recently released Health Indicators 2009 includes new information relating to heart attacks. This article highlights some of the key findings from the report related to cardiac care. It examines the declining rates of for heart attacks, socio-economic factors relating to heart attacks, falling 30-day in-hospital mortality rates and trends and provincial differences in cardiac procedures.

Effect of infections on 30-day mortality among critically ill patients hospitalized in and out of the intensive care unit.

BACKGROUND: This analysis is part of a multicenter study conducted in Israel to evaluate survival of critically ill patients treated in and out of intensive care units (ICUs). OBJECTIVE: To assess the role of infection on 30-day survival among critically ill patients hospitalized in ICUs and regular wards. DESIGN: All adult inpatients were screened on four rounds for patients meeting ICU admission criteria. Retrospective chart review was used to detect presence and type of infection. Mortality was ascertained from day of meeting study criteria to 30 days thereafter. ANALYSIS: The effect of infection on mortality among patients, treated in and out of the ICU, was compared using Kaplan Meier survival curves. Multivariate Cox models were constructed to adjust interdepartmental comparisons for case-mix differences. RESULTS: Of 641 critically ill patients identified, 36.8% already had an infection on day 0. An additional 40.2% subsequently developed a new infection during the follow-up period, ranging from 64.6% in the ICU to 31.5% in regular wards (p < .001). Resistant infections were more prevalent in ICUs. Infection was independently associated with an increase in mortality, regardless of whether the patient was admitted to the ICU. There was no difference in the adjusted risk of mortality associated with an infection diagnosed on day 0 vs. an infection diagnosed later. Risk of dying was similar in resistant and nonresistant infections. Adjusting for infections, survival of ICU patients was better relative to patients in regular wards (adjusted hazard ratio = 0.7). Among the different types of infection, risk of mortality from pneumonia was significantly lower in ICUs relative to regular wards. There was a protective effect in ICUs among noninfected patients. CONCLUSION: The risk of acquiring a new infection is greater in the ICU. However, risk of mortality among ICU patients was lower for the most serious infections and for those without any infection.

Survival of critically ill patients hospitalized in and out of intensive care.

OBJECTIVE: A lack of intensive care units beds in Israel results in critically ill patients being treated outside of the intensive care unit. The survival of such patients is largely unknown. The present study's objective was to screen entire hospitals for newly deteriorated patients and compare their survival in and out of the intensive care unit. DESIGN: A priori developed intensive care unit admission criteria were used to screen, during 2 wks, the patient population for eligible incident patients. A screening team visited every hospital ward of five acute care hospitals daily. Eligible patients were identified among new admissions in the emergency department and among hospitalized patients who acutely deteriorated. Patients were followed for 30 days for mortality regardless of discharge. SETTING: Five acute care hospitals. PATIENTS: A total of 749 newly deteriorated patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Crude survival of patients in and out of the intensive care unit was compared by Kaplan-Meier curves, and Cox models were constructed to adjust the survival comparisons for residual case-mix differences. A total of 749 newly deteriorated patients were identified among 44,000 patients screened (1.7%). Of these, 13% were admitted to intensive care unit, 32% to special care units, and 55% to regular departments. Intensive care unit patients had better early survival (0-3 days) relative to regular departments (p=.0001) in a Cox multivariate model. Early advantage of intensive care was most pronounced among patients who acutely deteriorated while on hospital wards rather than among newly admitted patients. CONCLUSIONS: Only a small proportion of eligible patients reach the intensive care unit, and early admission is imperative for their survival advantage. As intensive care unit benefit was most pronounced among those deteriorating on hospital wards, intensive care unit triage decisions should be targeted at maximizing intensive care unit benefit by early admitting patients deteriorating on hospital wards.

Graft survival and its determinants: a 3 year national experience with liver transplantation in Israel.

BACKGROUND: There is a dearth of organs for liver transplantation in Israel. Enhancing our understanding of factors affecting graft survival in this country could help optimize the results of the transplant operation. OBJECTIVES: To report 3 years national experience with orthotopic liver transplantation, and to evaluate patient and perioperative risk factors that could affect 1 year graft survival. METHODS: The study related to all 124 isolated adult liver transplantations performed in Israel between October 1997 and October 2000. Data were abstracted from the medical records. One-year graft survival was described using the Kaplan-Meier survival curve and three multivariate logistic regression models were performed: one with preoperative case-mix factors alone, and the other two with the addition of donor and operative factors respectively. RESULTS: Of the 124 liver transplantations performed, 32 failed (25.8%). The 1 year survival was lower than rates reported from both the United States and Europe but the difference was not significant. Of the preoperative risk factors, recipient age > 60 years, critical condition prior to surgery, high serum bilirubin and serum hemoglobin < or = 10 g/dl were independently associated with graft failure, adjusting for all the other factors that entered the logistic regression equation. Extending the model to include donor and operative factors raised the C-statistic from 0.79 to 0.87. Donor age > or = 40, cold ischemic time > 10 hours and a prolonged operation (> 10 hours) were the additional predictors for graft survival. A MELD score of over 18 was associated with a sixfold increased risk for graft failure (odds ratio = 6.5, P = 0.001). CONCLUSIONS: Graft survival in Israel is slightly lower than that reported from the U.S. and Europe. Adding donor and operative factors to recipient characteristics significantly increased our understanding of 1 year survival of liver grafts.

Survival of critically ill patients hospitalized in and out of intensive care units under paucity of intensive care unit beds.

OBJECTIVE: The demand for intensive care beds far exceeds their availability in many European countries. Consequently, many critically ill patients occupy hospital beds outside intensive care units, throughout the hospital. The outcome of patients who fit intensive care unit admission criteria but are hospitalized in regular wards needs to be assessed for policy implications. The object was to screen entire hospital patient populations for critically ill patients and compare their 30-day survival in and out of the intensive care unit. DESIGN: Screening teams visited every hospital ward on four selected days in five acute care Israeli hospitals. The teams listed all patients fitting a priori developed study criteria. One-month data for each patient were abstracted from the medical records. SETTING: Five acute care Israeli hospitals. PATIENTS: All patients fitting a priori developed study criteria. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Survival in and out of the intensive care unit was compared for screened patients from the day a patient first met study criteria. Cox multivariate models were constructed to adjust survival comparisons for various confounding factors. The effect of intensive care unit vs. other departments was estimated separately for the first 3 days after deterioration and for the remaining follow-up time. Results showed that 5.5% of adult hospitalized patients were critically ill (736 of 13,415). Of these, 27% were admitted to intensive care units, 24% to specialized care units, and 49% to regular departments. Admission to an intensive care unit was associated with better survival during the first 3 days of deterioration, after we adjusted for age and severity of illness (p =.018). There was no additional survival advantage for intensive care unit patients (p =.9) during the remaining follow-up time. CONCLUSIONS: The early survival advantage in the intensive care unit suggests a window of critical opportunity for these patients. Under economic constraints and dearth of intensive care unit beds, increasing the turnover of patients in the intensive care unit, thus exposing more needy patients to the early benefit of treatment in the intensive care unit, may be advantageous.

Is discharge policy a balanced decision between clinical considerations and hospital ownership policy? The CABG example.

OBJECTIVES: To explore to what extent patient discharge from the hospital is a balanced decision between clinical considerations and management policy; specifically: (1) to assess the role of patient risk as a determinant of discharge in comparison with administrative factors such as hospital ownership; (2) to evaluate whether variations in discharge policy were translated into differences in clinical outcomes. METHODS: A national study of coronary artery bypass surgery was used as an example. The population included 4778 patients undergoing coronary artery bypass surgery in 14 institutions. The mode of discharge day, rather than the mean, was used as the best indicator of discharge policy. Parametric survival model was used to assess factors associated with the day of discharge. RESULTS: The mode of discharge day varied widely among institutions. This variation between 4 and 7 days after surgery corresponded to hospital ownership. The mode of discharge day was almost invariant to the patients' risk, but serious postoperative complications resulted in prolonged stay for a minority of the patients. The influence of hospital ownership prevailed over patient insurance carriers. Differences in discharge policies were not associated with increased risk of late mortality or rehospitalization. CONCLUSIONS: Discharge policy beyond the rare occurrence of dramatic patient postoperative complications was mainly dependent on hospital owner's cost-effectiveness considerations. However, despite the weight given to administrative factors in the decision-making process, it did not affect the outcome of care.