Accuracy of diagnostic coding for Medicare patients under the prospective-payment system

Fee-based care is important for access to prompt treatment of hip fractures among veterans

BACKGROUND

Hip fracture is a medical emergency for which delayed treatment increases risk of disability and death. In emergencies, veterans without access to a Veterans Administration (VA) hospital may be admitted to non-VA hospitals under fee-based (NVA-FB) care paid by the VA. The affect of NVA-FB care for treatment and outcomes of hip fractures is unknown.

QUESTIONS/PURPOSES

This research seeks to answer three questions: (1) What patient characteristics determine use of VA versus NVA-FB hospitals for hip fracture? (2) Does time between admission and surgery differ by hospital (VA versus NVA-FB)? (3) Does mortality differ by hospital?

METHODS

Veterans admitted for hip fractures to VA (n = 9308) and NVA-FB (n = 1881) hospitals from 2003 to 2008 were identified. Primary outcomes were time to surgery and death. Logistic regression identified patient characteristics associated with NVA-FB hospital admissions; differences in time to surgery and death were evaluated using Cox proportional hazards regression, controlling for patient covariates.

RESULTS

Patients admitted to NVA-FB hospitals were more likely to be younger, have service-connected disabilities, and live more than 50 miles from a VA hospital. Median days to surgery were less for NVA-FB admissions compared with VA admissions (1 versus 3 days, respectively). NVA-FB admissions were associated with 21% lower relative risk of death within 1 year compared with VA hospital admissions.

CONCLUSIONS

For veterans with hip fractures, NVA-FB hospital admission was associated with shorter time to surgery and lower 1-year mortality. These findings suggest fee-based care, especially for veterans living greater distances from VA hospitals, may improve access to care and health outcomes.

LEVEL OF EVIDENCE

Level II, prognostic study. See the Guidelines for Authors for a complete description of levels of evidence.

Trends in bronchiectasis among medicare beneficiaries in the United States, 2000 to 2007

BACKGROUND

Bronchiectasis is a potentially serious condition characterized by permanent and abnormal widening of the airways, the prevalence of which is not well described. We sought to describe the trends, associated conditions, and risk factors for bronchiectasis among adults aged ≥ 65 years.

METHODS

A 5% sample of the Medicare outpatient claims database was analyzed for bronchiectasis trends among beneficiaries aged ≥ 65 years from 2000 to 2007. Bronchiectasis was identified using International Classification of Diseases, Ninth Revision, Clinical Modification claim diagnosis codes for acquired bronchiectasis. Period prevalence was used to describe sex- and race/ethnicity-specific rates, and annual prevalence was used to describe trends and age-specific rates. We estimated trends using Poisson regression and odds of bronchiectasis using multivariate logistic regression.

RESULTS

From 2000 to 2007, 22,296 people had at least one claim for bronchiectasis. The 8-year period prevalence of bronchiectasis was 1,106 cases per 100,000 people. Bronchiectasis increased by 8.7% per year. We identified an interaction between the number of thoracic CT scans and race/ethnicity; period prevalence varied by a greater degree by number of thoracic CT scans among Asians compared with whites or blacks. Among people with one CT scan, Asians had a 2.5- and 3.9-fold higher period prevalence compared with whites and blacks.

CONCLUSIONS

Bronchiectasis prevalence increased significantly from 2000 to 2007 in the Medicare outpatient setting and varied by age, sex, and race/ethnicity. This increase could be due to a true increase in the condition or an increased recognition of previously undiagnosed cases.

Racial differences and disparities in cancer care and outcomes: where's the rub?

Despite a profusion of studies over the past several years documenting racial differences in cancer outcomes, there is a paucity of data as to the root causes underlying these observations. This article reviews work to date focusing on black-white differences in cancer outcomes, explores potential mechanisms underlying these differences, and identifies patient, physician, and health care system factors that may account for persistent racial disparities in cancer care. Research strategies to elucidate the relative influence of these various factors and policy recommendations to reduce persistent disparities are also discussed.

Impact of age, injury severity score, and medical comorbidities on early complications after fusion and halo-vest immobilization for C2 fractures in older adults: a propensity score matched retrospective cohort study

STUDY DESIGN

Propensity score matched retrospective cohort study.

OBJECTIVE

To report early complication rates and associated risk factors in patients with C2 fractures who underwent fusion or halo immobilization.

SUMMARY OF BACKGROUND DATA

There is limited data on the impact of age, injury severity score, and medical comorbidities on overall complication rates from surgical fixation versus halo-vest immobilization of C2 fractures.

METHODS

The Nationwide Inpatient Sample database from 2002 to 2008 was queried to identify cohorts of adult patients (age ≥ 18 years) with C2 fractures without spinal cord injury who were treated with either fusion or halo-vest immobilization. Complication rates, hospital length of stay, and costs were compared in a propensity score matched sample. Multivariate analysis was used to identify predictors of in-hospital complications.

RESULTS

A total of 3758 patients (1627 fusion and 2131 halo) were identified. Fusion was associated with greater overall complication rates (20.2% vs. 10.1%, P < 0.0001), increased length of stay (8.9 d vs. 6.4 d, P < 0.0001), higher charges ($80,000 vs. $41,000, P < 0.0001), but a lower rate of nonroutine discharge (52.6% vs. 62.6%, P < 0.0001). There was no difference in mortality between the fusion group (2.75%) and the halo group (3.33%). Age, injury score, and comorbidity increased complication rates by a similar degree (odds ratio) in both cohorts. Patients aged 80 years and older were 3.5 times more likely to have a complication than those younger than 60 years.

CONCLUSION

Fusion patients had greater overall complication rates, increased length of stay, and greater resource utilization but were discharged home in a greater proportion. Both fusion and halo were associated with significant (more than 3-fold) increase in complication rates in elderly patients aged 80 years or older. Given the similar mortality rate between the fusion group and the halo group and the higher cost and complication rate in the fusion group, our study supports the use of halo-vest immobilization in patients where operative therapy is contraindicated.

Validity of the diagnosis of acute myocardial infarction in korean national medical health insurance claims data: the korean heart study (1)

Background and Objectives

Medical insurance claims (MIC) data are one of the largest sources of outcome data in the form of International Classification of Diseases (ICD) codes. We evaluated the validity of the ICD codes from the Korean National MIC data with respect to the outcomes from acute myocardial infarction (AMI) in the Korean Heart Study.

Subjects and Methods

Baseline information was obtained from health examinations conducted from 1994 to 2001. Outcome information regarding the incidence of AMI came from hospital admission discharge records from 1994 to 2007. Structured questionnaires were sent to 98 hospitals. In total, 107 cases of AMI with ICD codes of I21- (93 men, 26-73 years of age) were included in the final analyses. ICD code accuracy and reliability (kappa) for AMI were calculated.

Results

A large number of AMI cases were from hospitals located in the Seoul area (75.9%). The accuracy of AMI was 71.4%, according to World Health Organization criteria (1997-2000, n=24, kappa=0.46) and 73.1% according to the European Society of Cardiology/American College of Cardiology (ESC/ACC) criteria (2001-2007, n=83, kappa=0.74). An age of 50 years or older was the only factor related to inaccuracy of codes for AMI (odds ratio, 4.6; 95% confidence interval, 1.2-17.7) in patients diagnosed since January 2001 using ESC/ACC criteria (n=83).

Conclusion

The accuracy for diagnosing AMI using the ICD-10 codes in Korean MIC data was >70%, and reliability was fair to good; however, more attention is required for recoding ICD codes in older patients.

Prognostic indices for older adults: a systematic review

CONTEXT

To better target services to those who may benefit, many guidelines recommend incorporating life expectancy into clinical decisions.

OBJECTIVE

To assess the quality and limitations of prognostic indices for mortality in older adults through systematic review.

DATA SOURCES

We searched MEDLINE, EMBASE, Cochrane, and Google Scholar from their inception through November 2011.

STUDY SELECTION

We included indices if they were validated and predicted absolute risk of mortality in patients whose average age was 60 years or older. We excluded indices that estimated intensive care unit, disease-specific, or in-hospital mortality.

DATA EXTRACTION

For each prognostic index, we extracted data on clinical setting, potential for bias, generalizability, and accuracy.

RESULTS

We reviewed 21,593 titles to identify 16 indices that predict risk of mortality from 6 months to 5 years for older adults in a variety of clinical settings: the community (6 indices), nursing home (2 indices), and hospital (8 indices). At least 1 measure of transportability (the index is accurate in more than 1 population) was tested for all but 3 indices. By our measures, no study was free from potential bias. Although 13 indices had C statistics of 0.70 or greater, none of the indices had C statistics of 0.90 or greater. Only 2 indices were independently validated by investigators who were not involved in the index's development.

CONCLUSION

We identified several indices for predicting overall mortality in different patient groups; future studies need to independently test their accuracy in heterogeneous populations and their ability to improve clinical outcomes before their widespread use can be recommended.

DRG coding practice: a nationwide hospital survey in Thailand

Background

Diagnosis Related Group (DRG) payment is preferred by healthcare reform in various countries but its implementation in resource-limited countries has not been fully explored.

Objectives

This study was aimed (1) to compare the characteristics of hospitals in Thailand that were audited with those that were not and (2) to develop a simplified scale to measure hospital coding practice.

Methods

A questionnaire survey was conducted of 920 hospitals in the Summary and Coding Audit Database (SCAD hospitals, all of which were audited in 2008 because of suspicious reports of possible DRG miscoding); the questionnaire also included 390 non-SCAD hospitals. The questionnaire asked about general demographics of the hospitals, hospital coding structure and process, and also included a set of 63 opinion-oriented items on the current hospital coding practice. Descriptive statistics and exploratory factor analysis (EFA) were used for data analysis.

Results

SCAD and Non-SCAD hospitals were different in many aspects, especially the number of medical statisticians, experience of medical statisticians and physicians, as well as number of certified coders. Factor analysis revealed a simplified 3-factor, 20-item model to assess hospital coding practice and classify hospital intention.

Conclusion

Hospital providers should not be assumed capable of producing high quality DRG codes, especially in resource-limited settings.

The validity of International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes for identifying patients hospitalized for COPD exacerbations

BACKGROUND

Acute exacerbations of COPD (AE-COPD) are a leading cause of hospitalizations in the United States. To estimate the burden of disease (eg, prevalence and cost), identify opportunities to improve care quality (eg, performance measures), and conduct observational comparative effectiveness research studies, various algorithms based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes have been used to identify patients with COPD. However, the validity of these algorithms remains unclear.

METHODS

We compared the test characteristics (sensitivity, specificity, positive predictive value, and negative predictive value) of four different coding algorithms for identifying patients hospitalized for an exacerbation of COPD with chart review (reference standard) using a stratified probability sample of 200 hospitalizations at two urban academic medical centers. Sampling weights were used when calculating prevalence and test characteristics.

RESULTS

The prevalence of COPD exacerbations (based on the reference standard) was 7.9% of all hospitalizations. The sensitivity of all ICD-9-CM algorithms was very low and varied by algorithm (12%-25%), but the negative predictive value was similarly high across algorithms (93%-94%). The specificity was > 99% for all algorithms, but the positive predictive value varied by algorithm (81%-97%).

CONCLUSIONS

Algorithms based on ICD-9-CM codes will undercount hospitalizations for AE-COPD, and as many as one in five patients identified by these algorithms may be misidentified as having a COPD exacerbation. These findings suggest that relying on ICD-9-CM codes alone to identify patients hospitalized for AE-COPD may be problematic.

Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries

With advances in the effectiveness of treatment and disease management, the contribution of chronic comorbid diseases (comorbidities) found within the Charlson comorbidity index to mortality is likely to have changed since development of the index in 1984. The authors reevaluated the Charlson index and reassigned weights to each condition by identifying and following patients to observe mortality within 1 year after hospital discharge. They applied the updated index and weights to hospital discharge data from 6 countries and tested for their ability to predict in-hospital mortality. Compared with the original Charlson weights, weights generated from the Calgary, Alberta, Canada, data (2004) were 0 for 5 comorbidities, decreased for 3 comorbidities, increased for 4 comorbidities, and did not change for 5 comorbidities. The C statistics for discriminating in-hospital mortality between the new score generated from the 12 comorbidities and the Charlson score were 0.825 (new) and 0.808 (old), respectively, in Australian data (2008), 0.828 and 0.825 in Canadian data (2008), 0.878 and 0.882 in French data (2004), 0.727 and 0.723 in Japanese data (2008), 0.831 and 0.836 in New Zealand data (2008), and 0.869 and 0.876 in Swiss data (2008). The updated index of 12 comorbidities showed good-to-excellent discrimination in predicting in-hospital mortality in data from 6 countries and may be more appropriate for use with more recent administrative data.

Importance of health system context for evaluating utilization patterns across systems

Measuring health services provided to patients can be difficult when patients see providers across multiple health systems and all visits are rarely captured in a single data source covering all systems where patients receive care. Studies that account for only one system will omit the out-of-system health-care use at the patient level. Combining data across systems and comparing utilization patterns across health systems creates complications for both aggregation and accuracy because data-generating processes (DGPs) tend to vary across systems. We develop a hybrid methodology for aggregation across systems, drawing on the strengths of the DGP in each system, and demonstrate its validity for answering research questions requiring cross-system assessments of health-care utilization. Positive and negative predictive probabilities can be useful to assess the impact of the hybrid methodology. We illustrate these issues comparing public sector (administrative records from the US Department of Veterans Affairs system) and private sector (billing records from the US Medicare system) patient level data to identify primary-care utilization. Understanding the context of a particular health system and its effect on the DGP is important in conducting effective valid evaluations.

Utility of International Classification of Diseases, Ninth Revision, Clinical Modification codes for communicable disease surveillance

International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes have been proposed as a method of public health surveillance and are widely used in public health and clinical research. However, ICD-9-CM codes have been found to have variable accuracy for both health-care billing and disease classification, and they have never been comprehensively validated for use in public health surveillance. Therefore, the authors undertook a comprehensive analysis of the positive predictive values (PPVs) of ICD-9-CM codes for communicable diseases in 6 North Carolina health-care systems for the year 2003. Stratified random samples of patient charts with ICD-9-CM diagnoses for communicable diseases were reviewed and evaluated for their concordance with the Centers for Disease Control and Prevention surveillance case definitions. Semi-Bayesian hierarchical regression techniques were employed on the ensemble of disease-specific PPVs in order to reduce the overall mean squared error. The authors found that for the majority for diseases with higher incidence and straightforward laboratory-based diagnoses, the PPVs were high (>80%), with the important exception of tuberculosis, which had a PPV of 28.6% (95% uncertainty interval: 15.6, 46.5).

Hospitalizations for acute exacerbations of chronic obstructive pulmonary disease: how you count matters

ICD-9-CM diagnosis codes are increasingly used to estimate the burden of disease, as well as to evaluate the quality of care and outcomes of various conditions. Acute exacerbations of COPD (AE-COPD) are common and associated with substantial health and financial burden in the U.S. Whether published algorithms that employ different combinations of ICD-9-CM codes to identify patients hospitalized for AE-COPD yield similar or different estimates of disease burden is unclear. In this study, the Nationwide Inpatient Sample from years 2000-2006 was used to identify and compare the number of hospitalizations, healthcare utilization, and outcomes for patients hospitalized for AE-COPD in the U.S. AE-COPD was identified using five different published ICD-9-CM algorithms. Estimates of the annual number of hospitalizations for AE-COPD in the U.S. varied more than 2-fold (e.g., 421,000 to 870,000 in 2006). Outcomes and healthcare utilization of patients hospitalized for AE-COPD varied substantially, depending on the algorithm used (e.g., in-hospital mortality 2.0% to 5.1%, total hospital days 2.0 to 5.1 million in 2006). Observed trends in the number of hospitalizations over the 7-year period varied depending on which algorithm was used. In conclusion, the estimated health burden and trends in hospitalizations for AE-COPD in the United States differ, depending on which ICD-9-CM algorithm is used. To improve our understanding of the burden of AE-COPD and to ensure that quality of care initiatives are not misdirected, a validated approach to identifying patients hospitalized for AE-COPD is needed.

Risk of neuroleptic malignant syndrome in patients with bipolar disorder: a retrospective, population-based case-control study

INTRODUCTION

Current data regarding risk factors of neuroleptic malignant syndrome (NMS) are limited. This study aims to examine factors associated with increased risk of NMS in patients with bipolar disorder.

METHODS

A retrospective, population-based, case-control study was performed using a medical claims database covering January 1998 to December 2002. Fifty cases with a diagnosis of NMS were identified and matched with 800 controls. Conditional logistic regression analysis was used to estimate crude and adjusted odds ratios (ORs) of risk of NMS.

RESULTS

Antipsychotic use was associated with an increased risk of NMS after controlling for other pharmacologic and clinical factors (OR = 2.36, 95% CI = 1.08-5.19). Other factors associated with an increased risk of NMS included being male (OR = 2.07, 95% CI = 1.07-4.02), confusion (OR = 2.91, 95% CI = 1.17-7.28), dehydration (OR = 3.99, 95% CI = 1.50-10.57), delirium (OR = 4.93, 95% CI = 2.07-11.72), and extrapyramidal symptoms (OR = 3.50, 95% CI = 1.10-11.09).

CONCLUSIONS

Given the widespread use of antipsychotics for the treatment of bipolar disorder, clinicians should be vigilant of the potential pharmacologic and clinical factors associated with increased risk of NMS in patients with bipolar disorder.

Preexisting comorbid psychiatric conditions and mortality in nonsurgical intensive care patients

PURPOSE

To examine the effects of preexisting comorbid psychiatric conditions on mortality in a large cohort of patients admitted to a nonsurgical intensive care unit.

METHODS

This retrospective cohort study involved 66,672 consecutive eligible nonsurgical patients admitted to intensive care units in 129 Veterans Health Administration hospitals during 2005 and 2006. Preexisting comorbid psychiatric conditions were identified by using diagnoses from outpatient encounters in the prior year for depression, anxiety, psychosis, bipolar disorders, and posttraumatic stress disorder. Generalized estimating equations were used to adjust the risks of in hospital and 30-day mortality for demographics, comorbid medical conditions, markers of severity, and abnormal findings on laboratory tests at admission.

RESULTS

Comorbid psychiatric conditions were identified in 28% (n = 18 698) of patients. Patients with preexisting comorbid psychiatric conditions had lower (P < .001) unadjusted in hospital mortality (7.3% vs 8.7%) and 30-day mortality (10.0% vs 12.8%) than did patients without such conditions. After demographics, comorbid medical conditions, and severity were adjusted for, risk of in-hospital mortality among patients with comorbid psychiatric conditions was somewhat higher (odds ratio, 1.07, 95% confidence interval, 1.01-1.14; P = .02), although differences in 30-day mortality (odds ratio, 1.01, 95% confidence interval, 0.94-1.08; P = .70) were no longer significant.

CONCLUSION

Preexisting comorbid psychiatric conditions are common among intensive care patients, but after comorbid medical conditions and severity were adjusted for, preexisting comorbid psychiatric conditions were not associated with a higher risk of 30-day mortality in a large national cohort of veterans.

Physician visits prior to treatment for clinically localized prostate cancer

BACKGROUND

The 2 primary therapeutic interventions for localized prostate cancer are delivered by different types of physicians, urologists, and radiation oncologists. We evaluated how visits to specialists and primary care physicians (PCPs) by men with localized prostate cancer are related to treatment choice.

METHODS

Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database, we identified 85 088 men with clinically localized prostate cancer diagnosed at age 65 years or older, between 1994 and 2002. Men were categorized by primary treatment received within 9 months of diagnosis: radical prostatectomy (n = 18 201 [21%]), radiotherapy (n = 35 925 [42%]), androgen deprivation (n = 14 021 [17%]), or expectant management (n = 16 941 [20%]). Visits to specialists and PCPs were analyzed by patient characteristics and primary therapies received and were identified using Medicare claims and the American Medical Association Physician Masterfile.

RESULTS

Overall, 42 309 men (50%) were seen exclusively by urologists, 37 540 (44%) by urologists and radiation oncologists, 2329 (3%) by urologists and medical oncologists, and 2910 (3%) by all 3 specialists. There was a strong association between the type of specialist seen and primary therapy received. Visits to PCPs were infrequent between diagnosis and receipt of therapy (22% of patients visited any PCP and 17% visited an established PCP) and were not associated with a greater likelihood of specialist visits. Irrespective of age, comorbidity status, or specialist visits, men seen by PCPs were more likely to be treated expectantly.

CONCLUSIONS

Specialist visits relate strongly to prostate cancer treatment choices. In light of these findings, prior evidence that specialists prefer the modality they themselves deliver and the lack of conclusive comparative studies demonstrating superiority of one modality over another, it is essential to ensure that men have access to balanced information before choosing a particular therapy for prostate cancer.

Predictors of venous thromboembolism in patients with advanced common solid cancers

There is uncertainty about risk heterogeneity for venous thromboembolism (VTE) in older patients with advanced cancer and whether patients can be stratified according to VTE risk. We performed a retrospective cohort study of the linked Medicare-Surveillance, Epidemiology, and End Results cancer registry in older patients with advanced cancer of lung, breast, colon, prostate, or pancreas diagnosed between 1995-1999. We used survival analysis with demographics, comorbidities, and tumor characteristics/treatment as independent variables. Outcome was VTE diagnosed at least one month after cancer diagnosis. VTE rate was highest in the first year (3.4%). Compared to prostate cancer (1.4 VTEs/100 person-years), there was marked variability in VTE risk (hazard ratio (HR) for male-colon cancer 3.73 (95% CI 2.1-6.62), female-colon cancer HR 6.6 (3.83-11.38), up to female-pancreas cancer HR 21.57 (12.21-38.09). Stage IV cancer and chemotherapy resulted in higher risk (HRs 1.75 (1.44-2.12) and 1.31 (1.0-1.57), resp.). Stratifying the cohort by cancer type and stage using recursive partitioning analysis yielded five groups of VTE rates (nonlocalized prostate cancer 1.4 VTEs/100 person-years, to nonlocalized pancreatic cancer 17.4 VTEs/100 patient-years). In a high-risk population with advanced cancer, substantial variability in VTE risk exists, with notable differences according to cancer type and stage.

Acute myocardial infarction and coronary artery bypass grafting outcomes in specialty and general hospitals: analysis of state inpatient data

OBJECTIVE

Compare characteristics and outcomes of patients hospitalized in specialty cardiac and general hospitals for acute myocardial infarction (AMI) and coronary artery bypass grafting (CABG).

DATA

2000-2005 all-payor administrative data from Arizona, California, Texas, and Wisconsin.

STUDY DESIGN

We identified patients admitted to specialty and competing general hospitals with AMI or CABG and compared patient demographics, comorbidity, and risk-standardized mortality in specialty and general hospitals.

PRINCIPAL FINDINGS

Specialty hospitals admitted a lower proportion of women and blacks and treated patients with less comorbid illness than general hospitals. Unadjusted in-hospital AMI mortality for Medicare enrollees in specialty and general hospitals was 6.1 and 10.1 percent (p<.0001) and for non-Medicare enrollees was 2.8 and 4.0 percent (p<.04). Unadjusted in-hospital CABG mortality for Medicare enrollees in specialty and general hospitals was 3.2 and 4.7 percent (p<.01) and for non-Medicare enrollees was 1.1 and 1.8 percent (p=.02). After adjusting for patient characteristics and hospital volume, risk-standardized in-hospital mortality for all AMI patients was 2.7 percent for specialty hospitals and 4.1 percent for general hospitals (p<.001) and for CABG was 1.5 percent for specialty hospitals and 2.0 percent for general hospitals (p=.07).

CONCLUSIONS

In-hospital mortality in specialty hospitals was lower than in general hospitals for AMI but similar for CABG. Our results suggest that specialty hospitals may offer significantly better outcomes for AMI but not CABG.

Incidence of thrombocytopenia in hospitalized patients with venous thromboembolism

PURPOSE

To determine the incidence of heparin-associated thrombocytopenia in patients receiving prophylaxis or treatment for venous thromboembolism.

METHODS

We assessed the database of the National Hospital Discharge Survey from 1979 through 2005 and complemented this with a meta-analysis of published literature.

RESULT

Among 10,554,000 patients discharged from short-stay hospitals throughout the US with venous thromboembolism during the 27 years of study, secondary thrombocytopenia was coded in 38,000 patients (0.36%). From 1979 through 1992, secondary thrombocytopenia was coded in only 0.15% of hospitalized patients with venous thromboembolism. The frequency increased sharply to 0.54% from 1993 through 2005. Secondary thrombocytopenia was rarely diagnosed among 1,446,000 patients aged <40 years and among 77,000 women who had venous thromboembolism with deliveries. Meta-analysis of published literature showed a higher incidence among patients who received unfractionated heparin (UFH) for prophylaxis than those who received low-molecular-weight heparin (LMWH) for prophylaxis. Treatment resulted in smaller differences of the incidence between UFH and LMWH.

CONCLUSION

Heparin-associated thrombocytopenia is rare among patients aged <40 years and women following delivery. The risk of heparin-associated thrombocytopenia is more duration-related than dose-related, and higher with UFH when used for an extended duration. Our findings and those of the literature suggest that although heparin-associated thrombocytopenia is uncommon, the incidence can be minimized by use of LMWH, particularly if extended prophylaxis or extended treatment is required.

Relationship between discharge practices and intensive care unit in-hospital mortality performance: evidence of a discharge bias

CONTEXT

Current intensive care unit performance measures include in-hospital mortality after intensive care unit admission. This measure does not account for deaths occurring after transfer to another hospital or soon after discharge and therefore, may be biased.

OBJECTIVE

Determine how transfer rates to other acute care hospitals and early post-discharge mortality rates impact hospital performance assessments using an in-hospital mortality model.

DESIGN, SETTING, AND PARTICIPANTS

Data were retrospectively collected on 10,502 eligible intensive care unit patients across 35 California hospitals between 2001 and 2004.

MEASURES

We calculated the rates of acute care hospital transfers and early post-discharge mortality (30-day overall mortality-30-day in-hospital mortality) for each hospital. We assessed hospital performance with standardized mortality ratios (SMRs) using the Mortality Probability Model III. Using regression models, we explored the relationship between in-hospital SMRs and the rates of hospital transfers or early post-discharge mortality. We explored the same relationship using a 30-day SMR.

RESULTS

In multivariable models, for each 1% increase in patients transferred to another acute care hospital, there was an in-hospital SMR reduction of -0.021 (-0.040-0.001). Additionally, a 1% increase in early post-discharge mortality was associated with an in-hospital SMR reduction of -0.049 (-0.142-0.045). Assessing hospital performance based upon 30-day mortality end point resulted in SMRs closer to 1.0 for hospitals at high and low ends of in-hospital mortality performance.

CONCLUSIONS

Variations in transfer rates and potentially discharge timing appear to bias in-hospital SMR calculations. A 30-day mortality model is a potential alternative that may limit this bias.

Administrative and claims records as sources of health care cost data

BACKGROUND

Many economic studies of disease require cost data at the person level to identify diagnosed cases and to capture the type and timing of specific services. One source of cost data is claims and other administrative records associated with health insurance programs and health care providers.

OBJECTIVE

To describe and compare strengths and limitations of various administrative and claims databases.

DATA AND METHODS

Data sources included claims and enrollment records from Medicare, Medicaid, and private insurers; Veterans' Health Administration records; state hospital discharge datasets; Healthcare Cost and Utilization Project hospital databases; managed care plan data systems; and provider cost reports. Claims provide information on payments, whereas cost reports yield resource costs incurred to produce services. Administrative data may be significantly augmented by linkage to disease registries and surveys.

RESULTS

Administrative data are often available for large, enrolled populations, have detailed information on individual service use, and can be aggregated by service type, episode, and patient. Service use and costs can often be tracked longitudinally. Because they are not collected for research purposes, administrative data can be difficult to access and use. Limitations include generalizability, complexity, coverage and benefit restrictions, and lack of coverage continuity. Linked datasets permit identification of incident cases of disease, and analyses of health care costs by stage at diagnosis, phase of care, comorbidity status, income, and insurance status.

CONCLUSIONS

Administrative data are an essential source of information for studies of the financial burden of disease. Cost estimates can vary substantially by specific measures (payments, charges, cost to charge ratios) and across data sources.

Retrospective analysis of Healthcare Resource Group coding allocation for local anaesthetic video-assisted 'medical' thoracoscopy in a UK tertiary respiratory centre

BACKGROUND

Correct service costing is essential but may not always be done accurately.

AIM

To assess the accuracy of Healthcare Resource Group (HRG) coding allocation for patients undergoing local anaesthetic video-assisted thoracoscopy (LAVAT) against predicted codes under Payment by Results (PbR).

DESIGN

Single centre retrospective study. Tertiary respiratory centre in Leicestershire.

METHODS

One hundred twenty-five patients undergoing LAVAT from July 2005 to July 2008.

MAIN OUTCOME MEASURES

Predicted and actual revenue per LAVAT episode based on predicted and actual HRG codes allocated.

RESULTS

Among 125 patients undergoing LAVAT, the actual HRG code matched the predicted code in only 39 cases (31.2%), odds ratio (OR) 0.002, 95% confidence intervals (CIs) 0.0001-0.03, P < 0.0001. In 51 cases (40.8%), this resulted in a median (interquartile range) excess of PbR revenue of 574 pounds (574-1366) per episode; a total estimated overspend of 29,274 pounds. In 35 cases (28.0%), this resulted in a median underspend of --1093 pounds (-1285 to -851) per episode; a total estimated underspend of 38,529 pounds, with a total estimated financial error of 67,529 pounds. The net median (interquartile range) difference for PbR-related revenue was 0 pounds (-89 to + 574). Factors associated with coding discrepancy were longer length of stay (OR = 2.52, 95% CIs = 1.09-5.81, P = 0.03) and talc pleurodesis (OR = 2.25, 95% CI = 1.01-4.99, P = 0.06).

CONCLUSION

HRG coding allocation errors occur frequently. The potential financial implications of this are significant for providers and commissioners. Future strategies are required at multiple levels (NHS Trust, Primary Care Trust and Department of Health) to minimize future discrepancies and financial error.

Psychiatric comorbidity and mortality after acute myocardial infarction

BACKGROUND

Prior studies of the impact of psychiatric comorbidity on outcomes after acute myocardial infarction (AMI) have frequently relied on inpatient secondary diagnosis codes. This study compared associations between psychiatric comorbidity and AMI outcomes that were derived using secondary diagnosis codes and codes captured from prior outpatient encounters.

METHODS AND RESULTS

Retrospective cohort study analyzing 21 745 patients admitted in 2004 to 2006 to Veterans Health Administration hospitals with AMI using administrative data. Psychiatric comorbidity was identified using (1) secondary inpatient diagnosis codes from the index hospitalization and (2) diagnoses from prior outpatient encounters. Outcomes included 30- and 365-day mortality and the receipt of coronary revascularization within 30 days of admission. Generalized estimating equations and Cox proportional hazards were used to adjust mortality and receipt of revascularization for demographic and clinical variables. Psychiatric disorders were identified in 2285 (10%) patients from inpatient secondary diagnosis codes and 5225 (24%) patients from prior outpatient codes. Patients with psychiatric comorbidity had higher adjusted 30- and 365-day mortality, based on outpatient codes (odds ratios, 1.19 [95% CI, 1.09 to 1.30] and 1.12 [95% CI, 1.03 to 1.22], respectively), but similar mortality based on inpatient codes (odds ratios, 0.89 [95% CI, 0.69 to 1.01] and 0.93 [95% CI, 0.82 to 1.06], respectively). In contrast, patients with psychiatric comorbidity had lower receipt of coronary revascularization based on outpatient codes (hazard ratio, 0.92; [95% CI, 0.85 to 0.99], but similar receipt based on inpatient codes (hazard ratio, 1.00 [95% CI, 0.91 to 1.10]).

CONCLUSIONS

Inpatient secondary diagnosis codes identified fewer patients with psychiatric comorbidity than prior outpatient codes. Moreover, associations with AMI outcomes differed for the 2 approaches. These findings raise potential concerns about the validity and reliability of psychiatric inpatient secondary diagnosis in estimating the impact of psychiatric comorbidities on AMI outcomes and in developing risk-adjustment models.

Hemorrhagic stroke associated with antidepressant use in patients with depression: does degree of serotonin reuptake inhibition matter?

OBJECTIVE

This study aimed to determine whether the degree of serotonin (5-HT) reuptake inhibition affects risk of hemorrhagic stroke associated with antidepressant use in patients with depression.

METHOD

A population-based, nested case-control study was performed using a managed care medical claims database. Ninety two depressed patients with a diagnosis of hemorrhagic stroke were identified and matched with 552 controls by age, sex, and year of index date of depression (IDD). Diagnoses of depression, hemorrhagic stroke, and other medical comorbidities were identified using ICD-9 codes. Antidepressants were classified as high, medium, or low reuptake inhibition based on their affinities for the 5-HT reuptake transporter, determined using their respective equilibrium dissociation constants (K(D); high: K(D) < 1 nM; medium: 1 <or= K(D) < 10 nM; low: K(D) >or= 10 nM). Conditional logistic regression analysis was performed to estimate the crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) of the risk of hemorrhagic stroke.

RESULTS

Compared to non-users of antidepressants, risk of hemorrhagic stroke did not significantly differ between patients who had ever used antidepressants with high (OR = 0.82; 95% CI = 0.44-1.55), medium (OR = 0.93; 95% CI = 0.37-2.31), or low (OR = 0.38; 95% CI = 0.11-1.41) 5-HTT inhibition.

CONCLUSION

Risk of hemorrhagic stroke associated with antidepressant use may not be related to an antidepressant's degree of 5-HT reuptake inhibition. Given the limitations of this study, additional studies are needed to confirm these findings.

Death after bowel resection: patient disease, not surgeon error

INTRODUCTION

Although bowel resection is associated with a significant mortality rate, little is known about the demographics of the patients and how often surgical error is the primary cause of death. We sought to use a rigorous prospective quality database incorporating standardized peer review, to define how often patients die from provider-related causes.

MATERIALS AND METHODS

All patients undergoing bowel resection with anastomosis at a university hospital from July 2003 to June 2006 were entered into a prospectively maintained quality database. Patients were seen daily with house staff by a specially trained nurse practitioner who recorded demographics and complications. Clinical case reviews were conducted monthly. Five hundred sixty-six patients underwent bowel resection with anastomosis during the study period.

DISCUSSION

One hundred ninety-three patients suffered at least one complication (34.1%) and there were 20 deaths (3.5%). In 17 cases, death was deemed unavoidable due to patient disease; most occurred in patients who developed ischemic bowel while hospitalized for a serious concomitant illness. In only one case did death appear clearly related to a surgical complication (0.17%). Death after bowel resection typically reflects the need for urgent surgery in extreme circumstances and not surgeon error. Postoperative mortality rate in this population appears to be poor indicator of surgical quality.

Race and surgical outcomes: it is not all black and white

BACKGROUND

Studies using Medicare data have suggested that African American race is an independent predictor of death after major surgery. We hypothesized that the apparent adverse effect of race on surgical outcomes is due to confounding by comorbidity, not race itself.

METHODS

We identified all non-Hispanic white and African American general surgery, private sector patients included in the National Surgery Quality Improvement Program (NSQIP) Patient Safety in Surgery Study (2001-2004). Patient characteristics, comorbidities, and postoperative outcomes were collected/analyzed using NSQIP methodology. Characteristics between races were compared using Student t and chi(2) tests. Odds ratios (OR) for 30-day morbidity and mortality were calculated using multivariable logistic regression.

RESULTS

We identified 34,141 white and 5068 African American patients. African Americans were younger but more likely to undergo emergency surgery and present with hypertension, dyspnea, diabetes, renal failure, open wounds/infection, or advanced American Society of Anesthesiology class (all P < 0.001). African Americans underwent less complex procedures but had higher unadjusted 30-day morbidity (14.33% vs. 12.35%; P < 0.001) and mortality (2.09% vs. 1.65%; P = 0.02). After controlling for comorbidity, African American race had no independent effect on mortality (OR 0.95, (0.74-1.23)) but was associated with a higher risk of postoperative cardiac arrest (OR 2.49, (1.80-3.45)) and renal insufficiency/failure (OR 1.70 (1.32-2.18)).

CONCLUSION

African American race is associated with greater comorbidity and cardiac/renal complications but is not an independent predictor of perioperative mortality after general surgery. Efforts to improve postoperative outcomes in African Americans should focus on reducing the need for emergency surgery and improving perioperative management of comorbid conditions.

Are patient safety indicators related to widely used measures of hospital quality?

CONTEXT

Patient safety indicators (PSIs) are screening tools that use administrative data to identify potential complications of care and are being increasingly used as measures of hospital safety. It is unknown whether PSIs are related to standard quality metrics.

OBJECTIVE

To examine the relationship between select PSIs and measures of hospital quality.

DESIGN, SETTING, AND PARTICIPANTS

We used the 2003 MedPAR dataset to examine the performance of 4,504 acute-care hospitals on four medical PSIs among Medicare enrollees.

MAIN OUTCOME MEASURES

We used bivariate and multivariate techniques to examine the relationship between PSI performance and quality scores from the Hospital Quality Alliance program, risk-adjusted mortality rates, and selection as a top hospital by US News & World Report.

RESULTS

We found inconsistent and usually poor associations among the PSIs and other hospital quality measures with the exception of "failure to rescue," which was consistently associated with better performance on all quality measures tested. For example, hospitals in the top quartile of failure to rescue performance had a 0.9% better summary performance score in acute myocardial infarction (AMI) processes and a 22% lower mortality rate in AMI compared to hospitals in the bottom quartile of failure to rescue (p < 0.01 for both comparisons). Death in low mortality DRG, decubitus ulcer, and infection due to medical care generally had poor or often inverse relationships with the other quality measures.

CONCLUSIONS

With the exception of failure to rescue, we found poor or inverse relationships between PSIs and other measures of healthcare quality. Whether the lack of relationship is due to the limitations of the PSIs is unknown, but suggests that PSIs need further validation before they are employed broadly.

Reliability of diagnostic coding in intensive care patients

Introduction

Administrative coding of medical diagnoses in intensive care unit (ICU) patients is mandatory in order to create databases for use in epidemiological and economic studies. We assessed the reliability of coding between different ICU physicians.

Method

One hundred medical records selected randomly from 29,393 cases collected between 1998 and 2004 in the French multicenter Outcomerea ICU database were studied. Each record was sent to two senior physicians from independent ICUs who recoded the diagnoses using the International Statistical Classification of Diseases and Related Health Problems: Tenth Revision (ICD-10) after being trained according to guidelines developed by two French national intensive care medicine societies: the French Society of Intensive Care Medicine (SRLF) and the French Society of Anesthesiology and Intensive Care Medicine (SFAR). These codes were then compared with the original codes, which had been selected by the physician treating the patient. A specific comparison was done for the diagnoses of septicemia and shock (codes derived from A41 and R57, respectively).

Results

The ICU physicians coded an average of 4.6 ± 3.0 (range 1 to 32) diagnoses per patient, with little agreement between the three coders. The primary diagnosis was matched by both external coders in 34% (95% confidence interval (CI) 25% to 43%) of cases, by only one in 35% (95% CI 26% to 44%) of cases, and by neither in 31% (95% CI 22% to 40%) of cases. Only 18% (95% CI 16% to 20%) of all codes were selected by all three coders. Similar results were obtained for the diagnoses of septicemia and/or shock.

Conclusion

In a multicenter database designed primarily for epidemiological and cohort studies in ICU patients, the coding of medical diagnoses varied between different observers. This could limit the interpretation and validity of research and epidemiological programs using diagnoses as inclusion criteria.

Disparities in health information quality across the rural-urban continuum: where is coded data more reliable?

The growing application of evidence-based medicine practices across U.S. healthcare has created greater dependence on information resources, especially related to quality and consistency of data. The manipulation of data through coding and classification of patient information presents a critical process where the quality of information, as well as perceived quality of care, could potentially suffer. Where recent regulatory standards, such as HIPAA, create additional requirements for consistency in coding of health information, it becomes apparent that meaningful health outcomes assessment is, in part, an indicator of data quality as well as clinical quality. In a national survey of 16,000+ accredited health information managers we found most respondents reported that significant coding errors existed in 5% or less of the records in their institutions. Within specific organizations, however, coding errors existed in six to ten percent of their records, and at times exceeded 20%. Regional variation in reported coding error and inconsistency ranged widely, occurring across organizations as well as population concentrations. Metropolitan-based organizations tended to have somewhat worse reported overall coding accuracy, compared to suburban and rural areas. At a national level there will need to be some degree of coding and classification uniformity across population areas, if healthcare professionals are expected to rely on comparative evidence benchmarks to fully assess medical outcomes data. Related impacts on comparative cost and clinical performance assessment are discussed.

The association of the number of comorbidities and complications with length of stay, hospital mortality and LOS high outlier, based on administrative data

OBJECTIVES

With greater concern for efficient resource allocation and profiling of medical care, a case-mix classification was applied for the per-diem payment system in Japan. Many questions remain, one of which is the role of comorbidity and complication (CC) in grouping logic. We examined the association of the number of CC with the length of hospital stay (LOS) and hospital mortality as well as the proportion of LOS high outliers in 19 major diagnostic categories (MDCs).

METHODS

This study was a secondary data analysis embedded in a government research project, including anonymous claims and clinical data during a 4-month period from July 2002. Every 19 MDC, LOS, hospital mortality or proportion of LOS high outliers was compared by the number of CC and presence of any procedures.

RESULTS

From 82 special function hospitals, 241,268 patients were enrolled in this study. Among all patients, 50.5% were identified without any CCs, 32.4% with one or two, 13.4% with three or four, and 3.7% with over five CCs. The overall mean LOS was 22.15 days and hospital mortality 26.05 cases per 1,000 admissions. In any MDC, LOS and the proportion of outliers increased as the number of CC rose. The mortality rate increased prominently in the respiratory system and the hematology system.

CONCLUSIONS

This study demonstrated that the occurrence of more CC caused longer LOS and higher mortality in some major disease categories. Further study will clarify the association of the weighted CC with resource use through controlling procedures specific for MDC.

Sistema de informações hospitalares do sistema único de saúde (SIH-SUS): uma avaliação preliminar do seu desempenho no monitoramento da doença hemolítica perinatal Rh(D)

Considerando a utilização de bases administrativas na vigilância epidemiológica, propõe-se aqui avaliar a adequação do Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH-SUS) na identificação dos casos de doença hemolítica perinatal ocorridos no Instituto Fernandes Figueira, Fundação Oswaldo Cruz (IFF/FIOCRUZ), entre 1998 e 2003. Foram analisadas informações disponibilizadas pelo Serviço Neonatal, pelo Arquivo Médico e os dados da Autorização de Internação Hospitalar (AIH) consolidados no SIH-SUS. A identificação dos casos de doença hemolítica perinatal se deu através dos campos Diagnóstico Primário, Diagnóstico Secundário e Procedimento Realizado. Nesse período, 194 neonatos foram diagnosticados com doença hemolítica perinatal. No Arquivo Médico, 148 casos foram registrados, porém apenas 147 AIHs foram emitidas e 145 consolidadas no SIH-SUS. Entre essas, 84 AIHs arrolavam a doença hemolítica perinatal como Diagnóstico Primário; considerando também o Diagnóstico Secundário, mais 38 casos foram identificados; e nenhum caso adicional foi recuperado pelo Procedimento Realizado. Assim, o SIH-SUS identificou apenas 122 (62,9%) dos 194 neonatos com doença hemolítica perinatal assistidos no IFF/FIOCRUZ. Mesmo que ainda requerendo uma reavaliação em outros hospitais, a utilização do SIH-SUS no monitoramento da doença hemolítica perinatal não parece recomendável. Estudos ancilares são necessários quando do emprego de dados secundários nesse contexto.

Is There NO Treatment For Severe Sepsis?

Sepsis is a systemic inflammatory response syndrome in the presence of suspected or proven infection, and it may progress to or encompass organ failure (severe sepsis) and hypotension (septic shock). Clinicians possess an arsenal of supportive measures to combat severe sepsis and septic shock, and some success, albeit controversial, has been achieved by using low doses of corticosteroids or recombinant human activated protein C. However, a truly effective mediator-directed specific treatment has not been developed yet. Treatment with low doses of corticosteroids or with recombinant human activated protein C remains controversial and its success very limited. Attempts to treat shock by blocking LPS, TNF or IL-1 were unsuccessful, as were attempts to use interferon-gamma or granulocyte colony stimulating factor. Inhibiting nitric oxide synthases held promise but met with considerable difficulties. Scavenging excess nitric oxide or targeting molecules downstream of inducible nitric oxide synthase, such as soluble guanylate cyclase or potassium channels, might offer other alternatives.

Variations in the associations between psychiatric comorbidity and hospital mortality according to the method of identifying psychiatric diagnoses

OBJECTIVE

Little is known about associations between psychiatric comorbidity and hospital mortality for acute medical conditions. This study examined if associations varied according to the method of identifying psychiatric comorbidity and agreement between the different methods.

PATIENTS/PARTICIPANTS

The sample included 31,218 consecutive admissions to 168 Veterans Affairs facilities in 2004 with a principle diagnosis of congestive heart failure (CHF) or pneumonia. Psychiatric comorbidity was identified by: (1) secondary diagnosis codes from index admission, (2) prior outpatient diagnosis codes, (3) and prior mental health clinic visits. Generalized estimating equations (GEE) adjusted in-hospital mortality for demographics, comorbidity, and severity of illness, as measured by laboratory data.

MEASUREMENTS AND MAIN RESULTS

Rates of psychiatric comorbidities were 9.0% using inpatient diagnosis codes, 27.4% using outpatient diagnosis codes, and 31.0% using mental health visits for CHF and 14.5%, 33.1%, and 34.1%, respectively, for pneumonia. Agreement was highest for outpatient codes and mental health visits (kappa = 0.51 for pneumonia and 0.50 for CHF). In GEE analyses, the adjusted odds of death for patients with psychiatric comorbidity were lower when such comorbidity was identified by mental health visits for both pneumonia (odds ratio [OR] = 0.85; P = .009) and CHF (OR = 0.70; P < .001) and by inpatient diagnosis for pneumonia (OR = 0.63; P < or = .001) but not for CHF (OR = 0.75; P = .128). The odds of death were similar (P > .2) for psychiatric comorbidity as identified by outpatient codes for pneumonia (OR = 1.04) and CHF (OR = 0.93).

CONCLUSIONS

The method used to identify psychiatric comorbidities in acute medical populations has a strong influence on the rates of identification and the associations between psychiatric illnesses with hospital mortality.

The burden of Clostridium difficile in surgical patients in the United States

BACKGROUND

Clostridium difficile colitis is the predominant hospital-acquired gastrointestinal infection in the United States and has emerged as an important nosocomial cause of morbidity and death. Although several institutional studies have examined the effects of C. difficile on hospitalized patients, its nationwide impact on surgical patients has yet to be defined.

METHODS

To provide a national estimate of the burden of C. difficile, we performed a five-year retrospective analysis of the Agency for Healthcare Research and Quality's National Inpatient Sample Database, which represents a stratified 20% sample of hospitals in the United States, from 1999 to 2003. All surgical inpatient discharge data from 997 hospitals in 37 states were analyzed to determine the association of C. difficile infections with patient demographics, hospital characteristics, surgical procedure, length of stay (LOS), total charges, and in-hospital mortality rate. Univariate analysis was performed to identify any association between the presence of C. difficile infection and the outcome variables using chi-square contingency table analysis or the Student t-test following the exclusion of patients with other medical complications. Multivariate regression analysis was used to determine whether the presence of C. difficile infection was an independent predictor of increased LOS, total charges, and in-hospital mortality rate when controlling for surgery type, age, sex, payor, and hospital characteristics.

RESULTS

Clostridium difficile infection was reported as a discharge diagnosis for 8,113 (0.52%) of all 1,553,597 inpatients who had undergone a general surgical procedure. The incidence increased significantly in 2002 (34% higher than in 2001; p < 0.0001). The following patient and hospital characteristics were associated with the highest incidence of C. difficile infection (all p < 0.0001): Age > 64 years (0.95%); Medicare beneficiary status (0.94%); north-eastern hospital location (0.73%); and large (0.55%), urban (0.56%), or teaching hospital (0.61%). Patients undergoing an emergency operation were at higher risk than those having operations performed electively (0.8% vs. 0.3%; p < 0.0001). Colectomy, small-bowel resection, and gastric resection were associated with the highest risk of C. difficile infection (incidence after colectomy 1.11%; odds ratio [OR] 2.77, 95% confidence interval [CI] 2.65, 2.89, p < 0.0001; small-bowel resection 1.17%, OR 2.40, 95% CI 2.26, 2.54, p < 0.0001; gastric resection 1.02%, OR 2.26, 95% CI 2.03, 2.52, p < 0.0001). Patients undergoing cholecystectomy and appendectomy had the lowest risk of C. difficile infection (cholecystectomy 0.41%, OR 0.37, 95% CI 0.35, 0.39, p < 0.0001; appendectomy 0.20%, OR 0.45, 95% CI 0.42, 0.49, p < 0.0001). Multivariable analysis demonstrated that C. difficile was an independent predictor of LOS, which increased by 16.0 days (95% CI 15.6, 16.4 days; p < 0.0001) in the presence of infection. Total charges increased by $77,483 (95% CI $75,174, $79,793; p < 0.0001), and there was a 3.4-fold increase in the mortality rate (95% CI 3.02, 3.77; p < 0.0001) compared with patients who did not acquire C. difficile.

CONCLUSIONS

Epidemiologic data suggest that the incidence of C. difficile infection is increasing in U.S. surgical patients and that the infection is most prevalent after emergency operations and among patients having intestinal tract resections. Infection with C. difficile is an independent predictor of increased LOS, total charges, and mortality rate after surgery and represents a considerable burden to both patients and hospitals. Preventing C. difficile infection offers a potentially significant improvement in patient outcomes, as well as a reduction in hospital costs and resource expenditures.

Uncomplicated acute renal failure and post-hospital care: a not so uncomplicated illness

BACKGROUND

Although uncomplicated acute renal failure (ARF) is associated with significant hospital resource utilization, its health care requirements following hospital discharge are not well understood. The goal of this study was to characterize the post-hospital care requirements incurred by patients with uncomplicated ARF and to determine its important influencing factors.

METHODS

We obtained hospital case mix data sets for a 2-year period (1999-2000) from the Massachusetts Division of Health Care Finance and Policy. Utilizing DRG and ICD-9-CM codes from 23 Massachusetts hospitals, we identified 2,128 adult patients whose primary reason for hospitalization was uncomplicated ARF. Post-hospital care was defined as the receipt of extended facility care or home health care following hospital discharge.

RESULTS

Nearly 50% of patients hospitalized with uncomplicated ARF required some type of post-hospital care, of whom 27% underwent extended facility care while 22% received home health care. The post-hospital care requirements for uncomplicated ARF were similar to those for serious medical conditions (e.g. heart failure) and exceeded those of many common illnesses (e.g., bronchitis). Advancing age, worsening severity of illness, female gender, and emergency room admission were independently associated with receipt of post-hospital care (p < 0.05). A trend existed between less frequent post-hospital care requirements and hospitalization at academic medical centers compared with non-academic hospitals.

CONCLUSIONS

Uncomplicated ARF is frequently associated with prolonged care following hospitalization. As the health care utilization for ARF becomes better characterized, these post-hospital care resources should not be overlooked.

Effect of critical access hospital conversion on patient safety

BACKGROUND

The Medicare Rural Hospital Flexibility Program of the 1997 Balanced Budget Act allowed hospitals meeting certain criteria to convert to critical access hospitals (CAH) and changed their Medicare reimbursement mechanism from prospective payment system (PPS) to cost-based.

OBJECTIVE

To examine the impact of CAH conversion on hospital patient safety.

DATA SOURCE

Secondary data on hospital patient safety indicators (PSIs), hospital CAH status, patient case-mix, and market variables, for 89 Iowa rural hospitals during 1997-2004.

STUDY DESIGN

We employed quasi-experimental designs that use both control groups and pretests. The hospital-year was the unit of analysis. We used generalized estimating equations logit and random-effects Tobit models to assess the effects of CAH conversion on hospital patient safety. The models were adjusted for patient case-mix and market variables. Sensitivity analyses, which varied by sample and statistical model, were used to examine the robustness of our findings.

DATA EXTRACTION METHODS

PSIs were computed from Iowa State Inpatient Databases (SIDs) using Agency for Healthcare Research and Quality indicators software. Hospital CAH status was extracted from Iowa Hospital Association. Patient case-mix variables were extracted from Iowa SIDs. Market variables came from Area Resource File (ARF).

PRINCIPAL FINDINGS

CAH conversion in Iowa rural hospitals was associated with better performance of risk-adjusted rates of iatrogenic pneumothorax, selected infections due to medical care, accidental puncture or laceration, and composite score of four PSIs, but had no significant impact on the observed rates of death in low-mortality diagnosis-related groups (DRGs), foreign body left during procedure, risk-adjusted rate of decubitus ulcer, or composite score of six PSIs. Conclusion. CAH conversion is associated with enhanced performance of certain PSIs.

Reliability of diagnoses coding with ICD-10

OBJECTIVE

Reliability of diagnoses coding is essential for the use of routine data in a national health care system. The present investigation compares reliability of diagnoses coding with ICD-10 between three groups of coding subjects.

METHOD

One hundred and eighteen students coded 15 diagnoses lists, 27 medical managers from hospitals 34 discharge letters, and 13 coding specialists 12 discharge letters. Agreement in principal diagnosis was assessed using Cohen's Kappa and the fraction of coincidences over the number of pairs, agreement for the full set of diagnoses with a previously developed measure p(om).

RESULTS

Kappa values were fair (managers) or moderate (coders) for terminal codes with 0.27 and 0.42 (agreement 29.2% versus 46.8%), substantial for the chapter level with 0.71 and 0.72 (agreement 78.3% versus 80.8%). p(om) was lower for the full set of diagnoses than for principal diagnoses, for example in case of managers with 0.21 versus 0.29 for terminal codes. Best results were achieved by students coding diagnoses lists. In summary, the results are remarkably lower than in earlier publications.

CONCLUSION

The refinement of the ICD-10 accompanied by innumerous coding rules has established a complex environment that leads to significant uncertainties even for experts. Use of coded data for quality management, health care financing, and health care policy requires a remarkable simplification of ICD-10 to receive a valid image of health care reality.