Low income, community poverty and risk of end stage renal disease.

BACKGROUND: The risk of end stage renal disease (ESRD) is increased among individuals with low income and in low income communities. However, few studies have examined the relation of both individual and community socioeconomic status (SES) with incident ESRD. METHODS: Among 23,314 U.S. adults in the population-based Reasons for Geographic and Racial Differences in Stroke study, we assessed participant differences across geospatially-linked categories of county poverty [outlier poverty, extremely high poverty, very high poverty, high poverty, neither (reference), high affluence and outlier affluence]. Multivariable Cox proportional hazards models were used to examine associations of annual household income and geospatially-linked county poverty measures with incident ESRD, while accounting for death as a competing event using the Fine and Gray method. RESULTS: There were 158 ESRD cases during follow-up. Incident ESRD rates were 178.8 per 100,000 person-years (105 py) in high poverty outlier counties and were 76.3 /105 py in affluent outlier counties, p trend=0.06. In unadjusted competing risk models, persons residing in high poverty outlier counties had higher incidence of ESRD (which was not statistically significant) when compared to those persons residing in counties with neither high poverty nor affluence [hazard ratio (HR) 1.54, 95% Confidence Interval (CI) 0.75-3.20]. This association was markedly attenuated following adjustment for socio-demographic factors (age, sex, race, education, and income); HR 0.96, 95% CI 0.46-2.00. However, in the same adjusted model, income was independently associated with risk of ESRD [HR 3.75, 95% CI 1.62-8.64, comparing the <$20,000 income group to the >$75,000 group]. There were no statistically significant associations of county measures of poverty with incident ESRD, and no evidence of effect modification. CONCLUSIONS: In contrast to annual family income, geospatially-linked measures of county poverty have little relation with risk of ESRD. Efforts to mitigate socioeconomic disparities in kidney disease may be best appropriated at the individual level.

High one year mortality in adults with sickle cell disease and end-stage renal disease.

Adequate pre-dialysis care reduces mortality among end-stage renal disease (ESRD) patients. We tested the hypothesis that individuals with ESRD due to sickle cell disease (SCD-ESRD) receiving pre-ESRD care have lower mortality compared to individuals without pre-ESRD care. We examined the association between mortality and pre-ESRD care in incident SCD-ESRD patients who started haemodialysis between 1 June, 2005 and 31 May, 2009 using data provided by the Centers for Medicare and Medicaid Services (CMS). SCD-ESRD was reported for 410 (0·1%) of 442 017 patients. One year after starting dialysis, 108 (26·3%) patients with incident ESRD attributed to SCD died; the hazard ratio (HR) for mortality among patients with SCD-ESRD compared to those without SCD as the primary cause of renal failure was 2·80 (95% confidence interval [CI] 2·31-3·38). Patients with SCD-ESRD receiving pre-dialysis nephrology care had a lower death rate than those with SCD-ESRD who did not receive pre-dialysis nephrology care (HR = 0·67, 95% CI 0·45-0·99). The one-year mortality rate following an ESRD diagnosis was almost three times higher in individuals with SCD when compared to those without SCD but with ESRD and could be attenuated by pre-dialysis nephrology care.

Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data.

BACKGROUND: Co-morbidity information derived from administrative data needs to be validated to allow its regular use. We assessed evolution in the accuracy of coding for Charlson and Elixhauser co-morbidities at three time points over a 5-year period, following the introduction of the International Classification of Diseases, 10th Revision (ICD-10), coding of hospital discharges. METHODS: Cross-sectional time trend evaluation study of coding accuracy using hospital chart data of 3'499 randomly selected patients who were discharged in 1999, 2001 and 2003, from two teaching and one non-teaching hospital in Switzerland. We measured sensitivity, positive predictive and Kappa values for agreement between administrative data coded with ICD-10 and chart data as the 'reference standard' for recording 36 co-morbidities. RESULTS: For the 17 the Charlson co-morbidities, the sensitivity - median (min-max) - was 36.5% (17.4-64.1) in 1999, 42.5% (22.2-64.6) in 2001 and 42.8% (8.4-75.6) in 2003. For the 29 Elixhauser co-morbidities, the sensitivity was 34.2% (1.9-64.1) in 1999, 38.6% (10.5-66.5) in 2001 and 41.6% (5.1-76.5) in 2003. Between 1999 and 2003, sensitivity estimates increased for 30 co-morbidities and decreased for 6 co-morbidities. The increase in sensitivities was statistically significant for six conditions and the decrease significant for one. Kappa values were increased for 29 co-morbidities and decreased for seven. CONCLUSIONS: Accuracy of administrative data in recording clinical conditions improved slightly between 1999 and 2003. These findings are of relevance to all jurisdictions introducing new coding systems, because they demonstrate a phenomenon of improved administrative data accuracy that may relate to a coding 'learning curve' with the new coding system.

Anemia and chronic kidney disease are potential risk factors for mortality in stroke patients: a historic cohort study.

BACKGROUND: Chronic kidney disease (CKD) is associated to a higher stroke risk. Anemia is a common consequence of CKD, and is also a possible risk factor for cerebrovascular diseases. The purpose of this study was to examine if anemia and CKD are independent risk factors for mortality after stroke. METHODS: This historic cohort study was based on a stroke registry and included patients treated for a first clinical stroke in the stroke unit of one academic hospital over a three-year period. Mortality predictors comprised demographic characteristics, CKD, glomerular filtration rate (GFR), anemia and other stroke risk factors. GFR was estimated by means of the simplified Modification of Diet in Renal Disease formula. Renal function was assessed according to the Kidney Disease Outcomes Quality Initiative (K/DOQI)-CKD classification in five groups. A value of hemoglobin < 120 g/L in women and < 130 g/L in men on admission defined anemia. Kaplan-Meier survival curves and Cox models were used to describe and analyze one-year survival. RESULTS: Among 890 adult stroke patients, the mean (Standard Deviation) calculated GFR was 64.3 (17.8) ml/min/1.73 m2 and 17% had anemia. Eighty-two (10%) patients died during the first year after discharge. Among those, 50 (61%) had K/DOQI CKD stages 3 to 5 and 32 (39%) stages 1 or 2 (p < 0.001). Anemia was associated with an increased risk of death one year after discharge (p < 0.001). After adjustment for other factors, a higher hemoglobin level was independently associated with decreased mortality one year after discharge [hazard ratio (95% CI) 0.98 (0.97-1.00)]. CONCLUSIONS: Both CKD and anemia are frequent among stroke patients and are potential risk factors for decreased one-year survival. The inclusion of patients with a first-ever clinical stroke only and the determination of anemia based on one single measure, on admission, constitute limitations to the external validity. We should investigate if an early detection and management of both CKD and anemia could improve survival in stroke patients.

Pre-ESRD Care and Mortality in Incident ESRD Patients With Multiple Myeloma.

OBJECTIVES: The relationship between mortality and pre-ESRD (end-stage renal disease) nephrology care in incident ESRD patients with multiple myeloma (MM) as the primary cause of renal failure has not been examined. MATERIALS AND METHODS: Among 439,206 incident US hemodialysis patients with MM as the primary cause of ESRD (June 1, 2005 to May 31, 2009) identified using the US Renal Data System, adjusted odds ratios (OR) for reported pre-ESRD nephrology care for ESRD due to MM (n=4561) versus other causes (n=434,645) were calculated. The association of pre-ESRD nephrology care with subsequent mortality in MM-ESRD patients was examined. RESULTS: MM-ESRD patients were less likely to have any predialysis nephrology care in the year before initiation of dialysis (34.8% vs. 58.5%; OR=0.38; 95% confidence interval [CI], 0.34-0.43) compared with patients with ESRD due to other causes. MM-ESRD patients compared with others were more likely to have catheters on first dialysis (91.8% vs. 75.6%; OR=4.15; 95% CI, 3.54-4.86). Incident MM-ESRD patients receiving predialysis care for ≥6 months had significantly lower 1-year mortality (hazard ratio 0.89; 95% CI, 0.82-0.97 and 0.88; 95% CI, 0.80-0.96, respectively), relative to those without this care. A catheter for dialysis access was associated with a 1.6-fold increase in 1-year mortality in incident MM-ESRD (hazard ratio 1.55; 95% CI, 1.32-1.83). CONCLUSIONS: MM-ESRD patients were less likely to have predialysis nephrology care and more likely to use catheters on first dialysis. However, predialysis care is independently associated with lower mortality in MM-ESRD patients. Predialysis care should be prioritized in MM patients approaching ESRD.

Variations in quality of care for heart failure.

BACKGROUND: The objective of our study was to assess hospital-to-hospital variations for the management and treatment of heart failure (HF) patients. METHODS: We performed a cross-sectional study among randomly selected patients with ICD-10 (International Classification of Disease, 10th revision) HF hospitalised in three Swiss university hospitals in 1999. Demographic characteristics, risk factors, symptoms and findings at admission and discharge medications were abstracted. The main outcome measure was the percentage of patients receiving appropriate management and treatment as defined by quality of care indicators derived from evidence-based guidelines. Quality indicators were considered only when they could be applied (no contra-indications). RESULTS: Among 1153 eligible patients with HF the mean age (SD) was 75.3 (12.7), 54.3% were male. Among potential candidates for specific interventions left ventricular function (LVF) was determined in 68.5% of patients; 53.8% received target dose of angiotensin converting enzyme inhibitors (ACEI), 86.0% any dose of angiotensin receptor blockers; 21.9% b-blockers, and 62.1% anticoagulants at discharge. Compared to hospital B (reference), the adjusted odds ratios (OR) (95% CI) for LVF not determined were 3.82 (2.50 to 5.85) in hospital A and 3.25 (1.78 to 5.93) in hospital C. The adjusted OR (95% CI) for not receiving target dose ACEI was 1.76 (0.95 to 3.26) for hospital A and 3.20 (1.34 to 7.65) for hospital C compared to hospital B. CONCLUSIONS: Apparently, important hospital-to-hospital variations in the quality of care given to patients with HF could have existed between three academic medical centers.

Anemia and chronic kidney disease are associated with poor outcomes in heart failure patients.

BACKGROUND: Chronic kidney disease (CKD) has been linked to higher heart failure (HF) risk. Anemia is a common consequence of CKD, and recent evidence suggests that anemia is a risk factor for HF. The purpose of this study was to examine among patients with HF, the association between CKD, anemia and inhospital mortality and early readmission. METHODS: We performed a retrospective cohort study in two Swiss university hospitals. Subjects were selected based the presence of ICD-10 HF codes in 1999. We recorded demographic characteristics and risk factors for HF. CKD was defined as a serum creatinine > or = 124 956;mol/L for women and > or = 133 micromol/L for men. The main outcome measures were inhospital mortality and thirty-day readmissions. RESULTS: Among 955 eligible patients hospitalized with heart failure, 23.0% had CKD. Twenty percent and 6.1% of individuals with and without CKD, respectively, died at the hospital (p < 0.0001). Overall, after adjustment for other patient factors, creatinine and hemoglobin were associated with an increased risk of death at the hospital, and hemoglobin was related to early readmission. CONCLUSION: Both CKD and anemia are frequent among older patients with heart failure and are predictors of adverse outcomes, independent of other known risk factors for heart failure.

Identifying priorities in methodological research using ICD-9-CM and ICD-10 administrative data: report from an international consortium.

BACKGROUND: Health administrative data are frequently used for health services and population health research. Comparative research using these data has been facilitated by the use of a standard system for coding diagnoses, the International Classification of Diseases (ICD). Research using the data must deal with data quality and validity limitations which arise because the data are not created for research purposes. This paper presents a list of high-priority methodological areas for researchers using health administrative data. METHODS: A group of researchers and users of health administrative data from Canada, the United States, Switzerland, Australia, China and the United Kingdom came together in June 2005 in Banff, Canada to discuss and identify high-priority methodological research areas. The generation of ideas for research focussed not only on matters relating to the use of administrative data in health services and population health research, but also on the challenges created in transitioning from ICD-9 to ICD-10. After the brain-storming session, voting took place to rank-order the suggested projects. Participants were asked to rate the importance of each project from 1 (low priority) to 10 (high priority). Average ranks were computed to prioritise the projects. RESULTS: Thirteen potential areas of research were identified, some of which represented preparatory work rather than research per se. The three most highly ranked priorities were the documentation of data fields in each country's hospital administrative data (average score 8.4), the translation of patient safety indicators from ICD-9 to ICD-10 (average score 8.0), and the development and validation of algorithms to verify the logic and internal consistency of coding in hospital abstract data (average score 7.0). CONCLUSION: The group discussions resulted in a list of expert views on critical international priorities for future methodological research relating to health administrative data. The consortium's members welcome contacts from investigators involved in research using health administrative data, especially in cross-jurisdictional collaborative studies or in studies that illustrate the application of ICD-10.

Evaluation of a population-based prevention program against influenza among Swiss elderly people.

INTRODUCTION: Influenza is a major cause of morbidity and mortality and occurs in epidemics in the winter. This study is an evaluation of a population-based prevention program against Influenza, implemented during autumn 2000 by the Health Department of the Canton of Vaud. METHODS: A pre-intervention/post-intervention design was used. In June 2000 and March 2001, 4007 questionnaires were sent to two different stratified random samples of people aged 65 and over living in the Canton of Vaud, Switzerland. Univariate, bivariate and multivariate analyses were performed. RESULTS: Vaccination coverage among people older than 65 was 58.0% in 1999 (95% CI: 56.2%-59.8%) and 58.4% (95% CI: 56.6%-60.2%) in 2000. A 6.5% significant increase in vaccination coverage was seen in the group of people aged 65 to 69 (p = 0.008). In the pre-intervention survey immunisation rates were 22.6% among people who had not consulted a physician, 59.2% among those who had consulted a physician once, and 73.2% among those who consulted twice or more (p = 0.001). These rates were respectively 30.8%, 58.0% and 75.1% (p = 0.001) in the post-intervention survey. CONCLUSIONS: No global increase in Influenza vaccination coverage in the elderly population could be observed following a community based intervention in a Swiss Canton. However, the enhanced vaccination rates noted in the 65-69 years old group and in people who did not receive medical care are compatible with an effect of the campaign. Further increase in vaccination coverage may be obtained by diversification and repetition of such promotion campaigns.

Quality of health care surveillance systems: review and implementation in the Swiss setting.

Quality of health care has been a subject of attention for many years in the USA and in Europe. Since the introduction of the new federal law on insurance in 1996 it has evolved to a progressively more important issue within the Swiss health care system. In this review, some theoretical concepts of quality of health care, variations, and surveillance systems are explored. Examples of quality of health care surveillance systems that have been developed successfully in the USA, in Canada, in Australia, and in Europe are discussed. They all demonstrate the interest in creating a large range of quality indicators in the surveillance system and in evaluating hospital performance using a benchmark approach. Currently, the measurement of quality with appropriate indicators is a subject of intense debate between the Swiss Hospitals Association (H+) and the Swiss Health Insurance Consortium (Santésuisse). Examples of existing surveillance systems in Switzerland are the Outcome Verein in Zurich and the quality of care program of the Canton of Valais. The FoQual association has also contributed to the debate by reviewing six indicators, which could be used nationally for a healthcare surveillance system. In this debate it is important to stress that ideal quality indicators intended for use as measures of quality in Swiss hospitals need to be both appropriate and valid. Only indicators that fulfil these conditions should be integrated in a Swiss health care surveillance system. Priority needs to be given to quality indicators and methods with the highest level of evidence and with a solid scientific basis.

The effect of external feedback on the management of medicare inpatients with congestive heart failure.

The purpose of this study was to compare the effect of 2 feedback strategies on the adherence to congestive heart failure (CHF) guidelines. Thirty-two hospitals in 4 states were randomized to receive either a written feedback intervention (low-intensity intervention [LII]) or an intervention involving feedback, a physician liaison, and quality improvement tools (high-intensity intervention [HII]). CHF quality indicators were assessed, and quality managers were interviewed at baseline and remeasurement. No significant changes in quality indicators were found as a result of either intervention. Seventy-eight percent of quality managers indicated that hospital project implementation had not begun until shortly before remeasurement. HII quality managers perceived the CHF project as significantly more successful compared with LII quality managers (63% versus 13%, P < .01). Evaluation of the effects of external feedback on practice behavior requires sufficient time for organizational and individual clinician change to occur. Physician liaisons may play a role in facilitating this change.

Prevalence of frailty indicators and association with socioeconomic status in middle-aged and older adults in a swiss region with universal health insurance coverage: a population-based cross-sectional study.

Frailty prevalence in older adults has been reported but is largely unknown in middle-aged adults. We determined the prevalence of frailty indicators among middle-aged and older adults from a general Swiss population characterized by universal health insurance coverage and assessed the determinants of frailty with a special focus on socioeconomic status. Participants aged 50 and more from the population-based 2006-2010 Bus Santé study were included (N = 2,930). Four frailty indicators (weakness, shrinking, exhaustion, and low activity) were measured according to standard definitions. Multivariate logistic regressions were used to determine associations. Overall, 63.5%, 28.7%, and 7.8% participants presented no frailty indicators, one frailty indicator, and two or more frailty indicators, respectively. Among middle-aged participants (50-65 years), 75.1%, 22.2%, and 2.7% presented 0, 1, and 2 or more frailty indicators. The number of frailty indicators was positively associated with age, hypertension, and current smoking and negatively associated with male gender, body mass index, waist-to-hip ratio, and serum total cholesterol level. Lower income level but not education was associated with higher number of frailty indicators. Frailty indicators are frequently encountered in both older and middle-aged adults from the Swiss general population. Despite universal health insurance coverage, household income is independently associated with frailty.

Administrative data outperformed single-day chart review for comorbidity measure.

OBJECTIVE: The purpose of this article is to compare the Charlson comorbidity index derived from a rapid single-day chart review with the same index derived from administrative data to determine how well each predicted inpatient mortality and nosocomial infection. DESIGN: Cross-sectional study. SETTING: The study was conducted in the context of the Swiss Nosocomial Infection Prevalence (SNIP) study in six hospitals, canton of Valais, Switzerland, in 2002 and 2003. PARTICIPANTS: We included 890 adult patients hospitalized from acute care wards. MAIN OUTCOME MEASURES: The Charlson comorbidity index was recorded during one single-day for the SNIP study, and from administrative data (International Classification of Disease, 10th revision codes). Outcomes of interest were hospital mortality and nosocomial infection. RESULTS: Out of 17 comorbidities from the Charlson index, 11 had higher prevalence in administrative data, 4 a lower and two a similar compared with the single-day chart review. Kappa values between both databases ranged from - 0.001 to 0.56. Using logistic regression to predict hospital outcomes, Charlson index derived from administrative data provided a higher C statistic compared with single-day chart review for hospital mortality (C = 0.863 and C = 0.795, respectively) and for nosocomial infection (C = 0.645 and C = 0.614, respectively). CONCLUSIONS: The Charlson index derived from administrative data was superior to the index derived from rapid single-day chart review. We suggest therefore using administrative data, instead of single-day chart review, when assessing comorbidities in the context of the evaluation of nosocomial infections.

Long-term survival of patients with apparent early-stage (FIGO I-II) epithelial ovarian cancer: a population-based study.

BACKGROUND: Women with presumed early-stage epithelial ovarian cancer (EOC) who have not received comprehensive surgical staging are at risk for recurrence. The aim of our study was to analyze the overall long term survival of EOC patients with a presumed early stage EOC. METHODS: A population-based cancer registry was used to identify patients with an early-stage EOC cancer diagnosed between 1989 and 1997. The area under study has no surgical gynecologic oncologist and no tertiary referral center. We categorized patients into two subgroups: low-risk (Ia-Ib well and moderately differentiated) and high-risk (Ia-Ib poorly differentiated or IC-II). Survival curves were calculated from the time of surgery using Kaplan-Meier methods and statistical comparisons were performed using the log-rank test and the Cox proportional hazards regression model. RESULTS: Fifty patients having an apparent early-stage disease (FIGO I-II) were evaluated. Forty-one patients have been operated by obstetrician-gynecologists and 9 by general surgeons. Twenty-one (42%) have been categorized as low-risk and 29 (58%) as high-risk. An optimal, modified, minimal and inadequate surgical staging was performed in 6, 10, 26 and 58, respectively. The median follow-up time was 147 months (range: 2.5-165). The 5- and 10-year overall survival was 95 and 89% for low-risk and 72 and 33% for high-risk subgroups, respectively. CONCLUSIONS: The surgical staging is frequently incomplete when performed in small hospitals with few patients by nonspecialists. Women in the high-risk group and incompletely staged have a less favorable prognosis than those reported in the literature.

Cross-national comparative performance of three versions of the ICD-10 Charlson index.

OBJECTIVE: The Charlson comorbidity index has been widely used for risk adjustment in outcome studies using administrative health data. Recently, 3 International Statistical Classification of Diseases, Tenth Revision (ICD-10) translations have been published for the Charlson comorbidities. This study was conducted to compare the predictive performance of these versions (the Halfon, Sundararajan, and Quan versions) of the ICD-10 coding algorithms using data from 4 countries. METHODS: Data from Australia (N = 2000-2001, max 25 diagnosis codes), Canada (N = 2002-2003, max 16 diagnosis codes), Switzerland (N = 1999-2001, unlimited number of diagnosis codes), and Japan (N = 2003, max 11 diagnosis codes) were analyzed. Only the first admission for patients age 18 years and older, with a length of stay of >/=2 days was included. For each algorithm, 2 logistic regression models were fitted with hospital mortality as the outcome and the Charlson individual comorbidities or the Charlson index score as independent variables. The c-statistic (representing the area under the receiver operating characteristic curve) and its 95% probability bootstrap distribution were employed to evaluate model performance. RESULTS: Overall, within each population's data, the distribution of comorbidity level categories was similar across the 3 translations. The Quan version produced slightly higher median c-statistics than the Halfon or Sundararajan versions in all datasets. For example, in Japanese data, the median c-statistics were 0.712 (Quan), 0.709 (Sundararajan), and 0.694 (Halfon) using individual comorbidity coefficients. In general, the probability distributions between the Quan and the Sundararajan versions overlapped, whereas those between the Quan and the Halfon version did not. CONCLUSIONS: Our analyses show that all of the ICD-10 versions of the Charlson algorithm performed satisfactorily (c-statistics 0.70-0.86), with the Quan version showing a trend toward outperforming the other versions in all data sets.

Variations in the quality of care of patients with acute myocardial infarction among Swiss university hospitals.

OBJECTIVE: The objective of our study was to assess hospital variations in the quality of care delivered to acute myocardial infarction (AMI) patients among three Swiss academic medical centres. DESIGN: Cross-sectional study. SETTING: Three Swiss university hospitals. STUDY PARTICIPANTS: We selected 1129 eligible patients discharged from these hospitals from 1 January to 31 December 1999, with a primary or secondary diagnosis code [International Classification of Diseases, 10th revision (ICD-10)] of AMI. We abstracted medical records for information on demographic characteristics, risk factors, symptoms, and findings at admission. We also recorded the main ECG and laboratory findings, as well as hospital and discharge management and treatment. We excluded patients transferred to another hospital and who did not meet the clinical definition of AMI. MAIN OUTCOME MEASURES: Percentage of patients receiving appropriate intervention as defined by six quality of care indicators derived from clinical practical guidelines. RESULTS: Among 577 eligible patients with AMI in this study, the mean (SD) age was 68.2 (13.9), and 65% were male. In the assessment of the quality indicators we excluded patients who were not eligible for the procedure. Among cohorts of 'ideal candidates' for specific interventions, 64% in hospital A and 73% in hospital C had reperfusion within 12 hours either with thrombolytics or percutaneous transluminal coronary angioplasty (P = 0.367). Further, in hospitals A, B, and C, respectively 97, 94, and 84% were prescribed aspirin during the initial hospitalization (P = 0.0002), and respectively 68, 91, and 75% received angiotensin converting enzyme inhibitors at discharge in the case of left ventricular systolic dysfunction (P = 0.003). CONCLUSIONS: Our results showed important hospital-to-hospital variations in the quality of care provided to patients with AMI between these three university hospitals.

Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

OBJECTIVES: Implementation of the International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system presents challenges for using administrative data. Recognizing this, we conducted a multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms. METHODS: ICD-10 coding algorithms were developed by "translation" of the ICD-9-CM codes constituting Deyo's (for Charlson comorbidities) and Elixhauser's coding algorithms and by physicians' assessment of the face-validity of selected ICD-10 codes. The process of carefully developing ICD-10 algorithms also produced modified and enhanced ICD-9-CM coding algorithms for the Charlson and Elixhauser comorbidities. We then used data on in-patients aged 18 years and older in ICD-9-CM and ICD-10 administrative hospital discharge data from a Canadian health region to assess the comorbidity frequencies and mortality prediction achieved by the original ICD-9-CM algorithms, the enhanced ICD-9-CM algorithms, and the new ICD-10 coding algorithms. RESULTS: Among 56,585 patients in the ICD-9-CM data and 58,805 patients in the ICD-10 data, frequencies of the 17 Charlson comorbidities and the 30 Elixhauser comorbidities remained generally similar across algorithms. The new ICD-10 and enhanced ICD-9-CM coding algorithms either matched or outperformed the original Deyo and Elixhauser ICD-9-CM coding algorithms in predicting in-hospital mortality. The C-statistic was 0.842 for Deyo's ICD-9-CM coding algorithm, 0.860 for the ICD-10 coding algorithm, and 0.859 for the enhanced ICD-9-CM coding algorithm, 0.868 for the original Elixhauser ICD-9-CM coding algorithm, 0.870 for the ICD-10 coding algorithm and 0.878 for the enhanced ICD-9-CM coding algorithm. CONCLUSIONS: These newly developed ICD-10 and ICD-9-CM comorbidity coding algorithms produce similar estimates of comorbidity prevalence in administrative data, and may outperform existing ICD-9-CM coding algorithms.

[Precautions and limitations when using intrahospital mortality as indicator of quality of care]. / Précautions et limitations lors de l'utilisation de la mortalité intra-hospitalière comme indicateur de la qualité des soins.

INTRODUCTION: Inhospital mortality has been used as an outcome quality indicator in the USA and in England to compare and benchmark hospital performance. It is now also possible to measure this outcome indicator in Switzerland, but it is important to highlight limitations and precautions to its use. METHODS: We collected administrative data from acute care community hospitals in the Canton of Valais, Switzerland, for the year 2001. We assessed rates of global and disease specific inhospital mortality and calculated crude and adjusted relative risks of inhospital mortality, specific to each hospital. RESULTS: The crude rates of the global inhospital mortality varied from 1.25% to 1.80% between hospitals. The variation for disease specific mortality rates was low. After adjustment, differences between relative risks were almost never statistically significant. DISCUSSION: The use of inhospital mortality as an quality indicator, need to be done with cautions, in particular adjustment for the case-mix, exclusion of patients in palliative care and analysis of disease specific rates.

Outcomes and the quality of care for patients hospitalized with heart failure.

OBJECTIVE: The purpose of this study was to determine whether process quality indicators derived from evidence-based guidelines for heart failure patients were associated with outcome indicators (hospital mortality and readmissions). DESIGN: A retrospective cohort-study among patients discharged with a primary or secondary International Classification of Disease, 10th revision (ICD-10) heart failure code from 1 January to 31 December 1999. SETTING: The study was implemented in three Swiss academic medical centers. STUDY PARTICIPANTS: Records of 1634 patients hospitalized with heart failure were abstracted. Demographic characteristics, risk factors, symptoms and findings at admission, and discharge characteristics were recorded. Main outcome measure. Process quality indicators were derived from evidence-based guidelines, related to appropriate management and treatment of heart failure patients. Hospital mortality was measured in a chart abstraction process. Thirty-day readmissions were calculated using administrative data from hospitals. RESULTS: Among the three hospitals, 1153 patients with heart failure were eligible for this study. Mean age was 75.3 years (standard deviation 12.7) and 45.7% of patients were female. Ventricular function (VF) was determined in 69% of patients. The adjusted odds-ratios (OR) for the VF not determined were 1.74 [95% confidence interval (CI) 1.06-2.84] for hospital mortality and 0.75 (95% CI 0.47-1.18) for 30-day readmissions. Among patients with left ventricular systolic dysfunction and no contraindication to angiotensin-converting enzyme inhibitor (ACEI), 54% were prescribed target-dose ACEI or angiotensin receptor blockers at discharge, 32% received ACEI at less then target dose, and 14% received no ACEI at discharge. Adjusted ORs (95% CI) for readmissions were 0.89 (0.28-2.84) for no ACEI and 1.17 (0.56-2.43) for less than target ACEI compared with target dose. CONCLUSIONS: Among patients with heart failure, the determination of VF was associated with hospital mortality. However, process indicators derived from evidence-based guidelines were not related to early readmissions in three Swiss university hospitals.

Readmissions and the quality of care in patients hospitalized with heart failure.

OBJECTIVES: Clinical practice guidelines based on the results of randomized clinical trials recommend that patients with heart failure due to left ventricular systolic dysfunction (LVSD) be treated with angiotensin-converting enzyme inhibitors (ACEI) at doses shown to reduce mortality and readmission. This study examined the relationship between ACEI use at discharge and readmission among patients with heart failure due to LVSD. METHODS AND RESULTS: Data were abstracted from the medical records of 2943 randomly selected patients hospitalized for heart failure in 50 hospitals. The outcome of interest was the number of readmissions occurring up to 21 months after discharge. Six-hundred and eleven patients were eligible for analysis. Compared with patients discharged at a recommended ACEI dose, patients not prescribed an ACEI at discharge had an adjusted rate ratio of readmission (RR) of 1.74 [95% confidence interval (CI) 1.22-2.48], while patients prescribed an ACEI at less than a recommended dose had an RR of 1.24 (95% CI 0.91-1.69) (P = 0.005 for the trend). CONCLUSION: Our results show that ACEI use at discharge in patients with LVSD is associated with decreased rate of readmission. These findings suggest that compliance with the ACEI prescribing recommendations listed in clinical practice guidelines for patients with heart failure due to LVSD confers benefit.