Screening inpatient quality using post-discharge events

Association of Delivery System Integration and Outcomes for Major Cancer Surgery

BACKGROUND

Integrated delivery systems (IDSs) are postulated to reduce spending and improve outcomes through successful coordination of care across multiple providers. Nonetheless, the actual impact of IDSs on outcomes for complex multidisciplinary care such as major cancer surgery is largely unknown.

METHODS

Using 2011-2013 Medicare data, this study identified patients who underwent surgical resection for prostate, bladder, esophageal, pancreatic, lung, liver, kidney, colorectal, or ovarian cancer. Rates of readmission, 30-day mortality, surgical complications, failure to rescue, and prolonged hospital stay for cancer surgery were compared between patients receiving care at IDS hospitals and those receiving care at non-IDS hospitals. Generalized estimating equations were used to adjust results by cancer type and patient- and hospital-level characteristics while accounting for clustering of patients within hospitals.

RESULTS

The study identified 380,053 patients who underwent major resection of cancer, with 38% receiving care at an IDS. Outcomes did not differ between IDS and non-IDS hospitals regarding readmission and surgical complication rates, whereas only minor differences were observed for 30-day mortality (3.5% vs 3.2% for IDS; p < 0.001) and prolonged hospital stay (9.9% vs 9.2% for IDS; p < 0.001). However, after adjustment for patient and hospital characteristics, the frequencies of adverse perioperative outcomes were not significantly associated with IDS status.

CONCLUSIONS

The collective findings suggest that local delivery system integration alone does not necessarily have an impact on perioperative outcomes in surgical oncology. Moving forward, stakeholders may need to focus on surgical and oncology-specific methods of care coordination and quality improvement initiatives to improve outcomes for patients undergoing cancer surgery.

Association Between Patient Satisfaction and Short-Term Outcomes After Major Cancer Surgery

OBJECTIVE

The aim of this study was to investigate whether patient satisfaction, as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, is associated with short-term outcomes after major cancer surgery.

MATERIALS AND METHODS

We first used national Medicare claims to identify patients who underwent a major extirpative cancer surgery from 2011 to 2013. Next, we used Hospital Compare data to assign the HCAHPS score to the hospital where the patient underwent surgery. We then performed univariate statistical analyses and fit multilevel logistic regression models to evaluate the relationship between excellent patient satisfaction and short-term cancer surgery outcomes for all surgery types combined and then by each individual surgery type.

RESULTS

We identified 373,692 patients who underwent major cancer surgery for one of nine cancers at 2617 hospitals. In both unadjusted and adjusted analyses, hospitals with higher proportions of patients reporting excellent satisfaction had lower complication rates (p < 0.001), readmissions (p < 0.001), mortality (p < 0.001), and prolonged length of stay (p < 0.001) than hospitals with lower proportions of satisfied patients, but with modest differences. This finding held true broadly across individual cancer types for complications, mortality, and prolonged length of stay, but less so for readmissions.

CONCLUSIONS

Hospital-wide excellent patient satisfaction scores are associated with short-term outcomes after major cancer surgery overall, but are modest in magnitude.

Understanding the relationship between the Centers for Medicare and Medicaid Services' Hospital Compare star rating, surgical case volume, and short-term outcomes after major cancer surgery

BACKGROUND

Both the Centers for Medicare and Medicaid Services' (CMS) Hospital Compare star rating and surgical case volume have been publicized as metrics that can help patients to identify high-quality hospitals for complex care such as cancer surgery. The current study evaluates the relationship between the CMS' star rating, surgical volume, and short-term outcomes after major cancer surgery.

METHODS

National Medicare data were used to evaluate the relationship between hospital star ratings and cancer surgery volume quintiles. Then, multilevel logistic regression models were fit to examine the association between cancer surgery outcomes and both star rankings and surgical volumes. Lastly, a graphical approach was used to compare how well star ratings and surgical volume predicted cancer surgery outcomes.

RESULTS

This study identified 365,752 patients undergoing major cancer surgery for 1 of 9 cancer types at 2,550 hospitals. Star rating was not associated with surgical volume (P < .001). However, both the star rating and surgical volume were correlated with 4 short-term cancer surgery outcomes (mortality, complication rate, readmissions, and prolonged length of stay). The adjusted predicted probabilities for 5- and 1-star hospitals were 2.3% and 4.5% for mortality, 39% and 48% for complications, 10% and 15% for readmissions, and 8% and 16% for a prolonged length of stay, respectively. The adjusted predicted probabilities for hospitals with the highest and lowest quintile cancer surgery volumes were 2.7% and 5.8% for mortality, 41% and 55% for complications, 12.2% and 11.6% for readmissions, and 9.4% and 13% for a prolonged length of stay, respectively. Furthermore, surgical volume and the star rating were similarly associated with mortality and complications, whereas the star rating was more highly associated with readmissions and prolonged length of stay.

CONCLUSIONS

In the absence of other information, these findings suggest that the star rating may be useful to patients when they are selecting a hospital for major cancer surgery. However, more research is needed before these ratings can supplant surgical volume as a measure of surgical quality. Cancer 2017;123:4259-4267. © 2017 American Cancer Society.

Early impact of Medicare accountable care organizations on cancer surgery outcomes

BACKGROUND

Accountable care organizations (ACOs) were established to improve care and outcomes for beneficiaries requiring highly coordinated, complex care. The objective of this study was to evaluate the association between hospital ACO participation and the outcomes of major surgical oncology procedures.

METHODS

This was a retrospective cohort study of Medicare beneficiaries older than 65 years who were undergoing a major surgical resection for colorectal, bladder, esophageal, kidney, liver, ovarian, pancreatic, lung, or prostate cancer from 2011 through 2013. A difference-in-differences analysis was implemented to compare the postimplementation period (January 2013 through December 2013) with the baseline period (January 2011 through December 2012) to assess the impact of hospital ACO participation on 30-day mortality, complications, readmissions, and length of stay (LOS).

RESULTS

Among 384,519 patients undergoing major cancer surgery at 106 ACO hospitals and 2561 control hospitals, this study found a 30-day mortality rate of 3.4%, a readmission rate of 12.5%, a complication rate of 43.8%, and a prolonged LOS rate of 10.0% in control hospitals and similar rates in ACO hospitals. Secular trends were noted, with reductions in perioperative adverse events in control hospitals between the baseline and postimplementation periods: mortality (percentage-point reduction, 0.1%; P = .19), readmissions (percentage-point reduction, 0.4%; P = .001), complications (percentage-point reduction, 1.0%; P < .001), and prolonged LOS (percentage-point reduction, 1.1%; P < .001). After accounting for these secular trends, this study identified no significant effect of hospital participation in an ACO on the frequency of perioperative outcomes (difference-in-differences estimator P values, .24-.72).

CONCLUSIONS

Early hospital participation in the Medicare Shared Savings Program ACO program was not associated with greater reductions in adverse perioperative outcomes for patients undergoing major cancer surgery in comparison with control hospitals. Cancer 2016. © 2016 American Cancer Society. Cancer 2016;122:2739-2746. © 2016 American Cancer Society.

Measuring the cost of hospital adverse patient safety events

This paper estimates the excess cost of hospital inpatient care due to adverse safety events in the U.S. Department of Veterans Affairs (VA) hospitals during fiscal year 2007. We measured adverse events according to the Patient Safety Indicator (PSI) algorithms of the Agency for Healthcare Research and Quality. Patient level cost regression analyses were performed using generalized linear modeling techniques. Accounting for the heavily skewed distribution of costs among patients having adverse safety events, results suggested that the excess cost of nine different PSIs for VA patients are much higher than previously estimated. We tested sensitivity of results to whether costs were measured by VA's Decision Support System (DSS) that uses local costs of specific inputs, or by the average costing system developed by VA's Health Economics Resource Center. DSS costing appeared to better characterize the high cost patients.

Early readmissions to the department of medicine as a screening tool for monitoring quality of care problems

With growing awareness of medical fallibility, researchers need to develop tools to identify and study medical mistakes. We examined the utility of hospital readmissions for this purpose in a prospective case-control study in a large academic medical center in Israel. All patients with nonelective readmissions to 2 departments of medicine within 30 days of discharge were interviewed, and their medical records were carefully examined with emphasis on the index admission. Patient data were compared to data for age- and sex-matched controls (n = 140) who were not readmitted. Medical records of readmitted and control patients were blindly evaluated by 2 senior clinicians who independently identified potential quality of care (QOC) problems during the index admission. Inhospital and late mortality was determined 6 months after discharge.Over a period of 3 months there were 1988 urgent admissions; 1913 discharges and subsequently 271 unplanned readmissions occurred (14.1% of discharges). Readmissions occurred an average of 10 days after discharge, and readmitted patients were sicker than controls (mean, 4.3 vs. 3.3 diagnoses per patient), although their length of stay was similarly short (3.4 +/- 2.8 d). Analysis of all readmissions revealed QOC problems in 90/271 (33%) of readmissions, 4.5% of hospitalizations. All were deemed preventable. Interobserver agreement was good (83%, kappa = 0.67). Among matched controls, only 8/140 admissions revealed QOC problems (6%, p < 0.001) (k = 0.77). The preventable readmissions mostly involved a vascular event or congestive heart failure; they occurred within a mean of 10 +/- 8 days of the index admission, and their inpatient mortality was 6.7% vs. 1.7% among readmissions that had no QOC problems (odds ratio, 4.1; 95% confidence interval, 1.0-16.7). The main pitfalls identified during the index admission included incomplete workup (33%), too short hospital stay (31%), inappropriate medication (44%), diagnostic error (16%), and disregarding a significant laboratory result (12%). In many patients more than 1 pitfall was identified (mean, 1.5 per patient). Risk factors for preventable readmission include older age and living in an institution (p < 0.05). Almost two-thirds of the readmitted patients with QOC problems were discharged after spending 2 days or fewer at the hospital. In conclusion, unplanned readmissions within 30 days of discharge are frequent, more prevalent in sicker patients, and possibly associated with increased mortality. In a third of readmitted patients a QOC problem can be identified, and these problems are preventable. Thus, readmission may be used as a screening tool for potential QOC problems in the department of medicine. Routine monitoring of all readmissions may provide a simple cost-effective means of identifying and addressing medical mistakes.

Tracking rates of Patient Safety Indicators over time: lessons from the Veterans Administration

BACKGROUND

The Patient Safety Indicators (PSIs), developed by the Agency for Healthcare Research and Quality, are useful screening tools for highlighting areas in which quality should be further investigated and providing useful benchmarks for tracking progress.

OBJECTIVES

Our objectives were to: 1) provide a descriptive analysis of the incidence of PSI events from 2001 to 2004 in the Veterans Health Administration (VA); 2) examine trends in national PSI rates at the hospital discharge level over time; and 3) assess whether hospital characteristics (eg, teaching status, number of beds, and degree of quality improvement implementation) and baseline safety-related hospital performance predict future hospital safety-related performance.

METHODS

We examined changes in risk-adjusted PSI rates at the discharge level, calculated the correlation between hospitals' risk-adjusted PSI rates in 2001 with subsequent years, and developed generalized linear models to examine predictors of hospitals' 2004 risk-adjusted PSI rates.

RESULTS

Risk-adjusted rates of 2 of the 15 PSIs demonstrated significant trends over time. Rates of iatrogenic pneumothorax increased over time, whereas rates of failure to rescue decreased. Most PSIs demonstrated consistent rates over time. After accounting for patient and hospital characteristics, hospitals' baseline risk-adjusted PSI rates were the most important predictors of their 2004 risk-adjusted rates for 8 PSIs.

CONCLUSIONS

The PSIs are useful tools for tracking and monitoring patient safety events in the VA. Future research should investigate whether trends reflect better or worse care or increased attention to documenting patient safety events.

Impact of nursing overtime on nurse-sensitive patient outcomes in New York hospitals, 1995-2000

During the past several years, nurses and their advocates have expressed concern about heavy use of overtime in hospitals and claimed that it undermines the quality of nursing care. Using staffing and discharge data covering 1995 to 2000 from 161 acute general hospitals in New York State, this study uses multi variate regression to analyze the relationship between overtime and the rates of six nurse-sensitive patient outcomes and mortality. We find an association of overtime with lower rates of mortality in medical and surgical patients but do not consider these findings definitive. Because overtime use is episodic and unit specific, further study of these issues using data that examines the occurrence of adverse events by unit during periods of heavy nurse overtime is recommended.

Evaluating the Patient Safety Indicators

BACKGROUND

The Patient Safety Indicators (PSIs), an administrative data-based tool developed by the Agency for Healthcare Research and Quality, are increasingly being used to screen for potential in-hospital patient safety problems. Although the Veterans Health Administration (VA) is a national leader in patient safety, accurate information on the epidemiology of patient safety events in the VA is still unavailable.

OBJECTIVES

Our objectives were to: (1) apply the AHRQ PSI software to VA administrative data to identify potential instances of compromised patient safety; (2) determine occurrence rates of PSI events in the VA; and (3) examine the construct validity of the PSIs.

METHODS

We examined differences between observed and risk-adjusted PSI rates in the VA, compared VA and non-VA PSI rates, and investigated the construct validity of the PSIs by examining correlations of the PSIs with other outcomes of VA hospitalizations.

RESULTS

We identified 11,411 PSI events in the VA nationwide in FY'01. Observed PSI rates per 1000 discharges ranged from 0.007 for "transfusion reaction" to 155.5 for "failure to rescue." There were significant, although small, differences between VA and non-VA risk-adjusted PSI rates. Hospitalizations with PSI events had longer lengths of stay, higher mortality, and higher costs than those without PSI events.

CONCLUSIONS

Our results suggest that the PSIs may be useful as a patient safety screening tool in the VA. Our PSI rates were consistent with the national incidence of low rates; however, differences between VA and non-VA rates suggest that inadequate case-mix adjustment may be contributing to these findings.

Assessing accuracy of diagnosis-type indicators for flagging complications in administrative data

OBJECTIVE

Canadian administrative hospital discharge data contain a diagnosis-type indicator for each coded diagnosis that allows researchers to distinguish complications from pre-existing diagnoses. Given that the validity of diagnosis-type indicators is unknown, we conducted a detailed chart review to evaluate the accuracy of diagnosis-type indicators for flagging complications.

STUDY DESIGN AND SETTING

We obtained administrative hospital discharge data for 1,200 randomly selected adult inpatient separations in Calgary, Alberta, occurring between April 1, 1996 and March 31, 1997. Each discharge record contains up to 16 diagnoses and 16 corresponding diagnosis-type indicators (value of "2"=complication). The corresponding medical charts were reviewed for evidence of diagnoses and complications. A complication was defined as a new diagnosis arising after the start of hospitalization. We determined the extent to which the diagnosis-type indicator in the administrative data agreed with the chart reviewer's assessment (criterion standard) of whether a diagnosis was a complication or not.

RESULTS

The agreement for complications between the two databases varied greatly across 12 conditions studied (kappa range: 0-0.72) and was often low (kappa <0.20 for six conditions). Sensitivity ranged from 0 to 57.1% (higher than 50% for only two conditions), indicating a tendency for complications to often be miscoded as baseline comorbidities. In contrast, specificity was generally high (range: 99.0-100%), suggesting that pre-existing conditions were usually appropriately coded as such in the administrative data.

CONCLUSION

The validity of diagnosis-type indicators in Canadian administrative discharge data appears to be poor for some types of complications. This is likely to be of greatest concern in studies that rely solely on diagnosis-type indicators to define complications as outcomes.

Do Complication Screening Programs Detect Complications Present at Admission?

BACKGROUND

A study was undertaken to verify the accuracy of computer algorithms on administrative data to identify hospital complications. The assessment was based on a medical records indicator that differentiated hospital-acquired conditions from preexisting comorbidities.

METHODS

The indicators for identifying potential hospital complications were applied to all secondary diagnoses to distinguish hospital-acquired from preexisting conditions for all 1997-1998 discharges.

RESULTS

Of the 95 defined complication types, cases were found with secondary diagnoses that met the criteria for 71 different complications. Sixty-nine of these complications had one or more cases with the trigger diagnosis coded as an acquired condition. Thirty-five complications had at least 30 cases with acquired conditions. Hospital complications add greatly to costs; for example, postoperative septicemia increased the hospital bill by more $25,000, added 13 hospital days to the stay, and increased hospital mortality by 16.6%.

CONCLUSIONS

Current complication algorithms identify many cases where the condition was actually present on hospital admission. This fact, coupled with the known variability in coding between institutions, makes comparisons between hospitals on many of the complications problematic. Collection of the present-on-admission flag significantly reduces the noise in monitoring complication rates.

Linking hospital discharge and death records—accuracy and sources of bias

BACKGROUND AND OBJECTIVE

The aim of this study was to develop and apply an automated linkage algorithm to 10 years of California hospitalization discharge abstracts and death records (1990 to 1999), evaluate linkage accuracy, and identify sources of bias.

METHODS

Among the 1,858,458 acute hospital discharge records with unique social security numbers (SSNs) from 1 representative year of discharge data (1997), which had at least 2 years of follow-up, 66,410 of 69,757 deaths occurring in the hospital (95%) and 66,998 of 1,788,701 of individuals discharged alive (3.7%) linked to death records. Linkage sensitivity and specificity were estimated as 0.9524 and 0.9998 and positive and negative predictive values as 0.994 and 0.998 (corresponding to 400 incorrect death linkages among out-of-hospital death record linkages and 3,300 unidentified record pairs among unlinked live discharges).

RESULTS

Based upon gold standard linkage rates, discharge records for those of age 1 year and older without SSNs may have 2,520 additional uncounted posthospitalization deaths at 1 year after admission. Gold standard comparison for those with SSNs showed women, the elderly, and Hispanics and non-Hispanic Blacks had more unlinked hospital death records, although absolute differences were small. The concentration of unidentified linkages among discharge records of traditionally vulnerable populations may result in understating mortality rates and other estimates (i.e., events with competing hazard of death) for these populations if SSN is differentially related to a patient's disease severity and comorbidities.

CONCLUSION

Because identification of cases of out-of-hospital deaths has improved over the past decade, observed improvements in patient survival over this time are likely to be conservative.

Measuring the quality of depression care in a large integrated health system

BACKGROUND

Guideline-based depression process measures provide a powerful way to monitor depression care and target areas needing improvement.

OBJECTIVES

To assess the adequacy of depression care in the Veterans Health Administration (VHA) using guideline-based process measures derived from administrative and centralized pharmacy records, and to identify patient and provider characteristics associated with adequate depression care.

RESEARCH DESIGN

This is a cohort study of patients from 14 VHA hospitals in the Northeastern United States which relied on existing databases. Subject eligibility criteria: at least one depression diagnosis during 1999, neither schizophrenia nor bipolar disease, and at least one antidepressant prescribed in the VHA during the period of depression care profiling (June 1, 1999 through August 31, 1999). Depression care was evaluated with process measures defined from the 1997 VHA depression guidelines: antidepressant dosage and duration adequacy. We used multivariable regression to identify patient and provider characteristics predicting adequate care.

SUBJECTS

There were 12,678 patients eligible for depression care profiling.

RESULTS

Adequate dosage was identified in 90%; 45% of patients had adequate duration of antidepressants. Significant patient and provider characteristics predicting inadequate depression care were younger age (<65), black race, and treatment exclusively in primary care.

CONCLUSIONS

Under-treatment of depression exists in the VHA, despite considerable mental health access and generous pharmacy benefits. Certain patient populations may be at higher risk for inadequate depression care. More work is needed to align current practice with best-practice guidelines and to identify optimal ways of using available data sources to monitor depression care quality.

A complication conference for internal quality control at the Neurosurgical Department of the University of Heidelberg

The registration of adverse events is an important issue in the field of medicine. Even today adverse event screening and registration is not part of the routine in most medical areas. In 1994, the Department of Neurosurgery at the University of Heidelberg implemented a conference for screening and registering adverse events. The aim was to record all complications occurring for an internal quality control. High priority was given to improving the process of data screening and registering. The conference is held every 2 weeks and all medical staff and residents of the department are obligated to be present. Screening of the adverse events encompasses all operations performed during a bi-weekly period. Every single operation is revised for an adverse event during or following the hospital stay. Adverse events are registered on a standardized data sheet and later transferred to a database for use in further investigations. After 6 years, the conference has been fully accepted and become an integral part of the workflow of the department. During this period, 8160 operations were screened and 1335 adverse events registered. The next step will be to integrate the data-collection process into the daily ward rounds using a personal digital assistant (PDA). This process is less time consuming and may perhaps augment the number of registered cases.

Measuring complications of cancer treatment using the SEER-Medicare data

BACKGROUND

The linkage of SEER registry data with Medicare claims allows the longitudinal tracking of health care and outcomes for patients after a cancer diagnosis. One category of outcomes amenable to research using Medicare claims is complications of cancer treatments: the unintentional, adverse side effects or sequelae of interventions used to treat or palliate cancer patients.

RESEARCH DESIGN

The authors review some of the methods and limitations of using Medicare claims to identify both acute and chronic complications of cancer treatments, and present an original analysis comparing survey-based and claims-based complications following radical prostatectomy for prostate cancer to illustrate some of the potential limitations inherent in using claims for this purpose.

RESULTS

Utility of the Medicare claims for identifying postdischarge complications varies by the patient type, the initial treatment used, and any subsequent treatment of complications. For patients undergoing surgical interventions, Medicare claims can be used to identify most acute inpatient complications. However, claims data cannot be used as effectively in the long-term to capture chronic complications, particularly when the complication does not consistently prompt an intervention.

CONCLUSION

Researchers who use the SEER-Medicare-linked database to assess long-term complications of cancer treatments should exercise caution when designing and interpreting studies. Ideally, for studies of most chronic complications of cancer care, validation studies similar to the one performed here would provide valuable additional evidence to assess the credibility of conclusions based on claims data.

Postdischarge adverse drug reactions in primary care originating from hospital care in France: a nationwide prospective study

OBJECTIVE

To describe and estimate the incidence and preventability of postdischarge adverse drug reactions (ADRs) detected in primary care in France.

DESIGN

Prospective study of patients referred to hospital by participating general practitioners (GPs). These GPs reported all cases of an adverse reaction to a drug instituted in hospital among patients who consulted them within 30 days of discharge.

SETTING

305 general practices from all French regions.

PATIENTS

7540 patients referred by GPs to private or public hospitals.

MAIN OUTCOME MEASURES

The incidence for postdischarge ADRs in primary care, and their preventability.

RESULTS

30 cases of postdischarge ADR were detected in 29 re-consulting patients, yielding a minimal incidence for France of 0.4 per 100 admissions (95% confidence interval 0.3 to 0.6). The ADRs were assessed as serious in 60% of cases. The main drug classes implicated were cardiovascular drugs (8 ADRs), oral anticoagulants (6), psychoactive drugs (4), antidiabetics (3), and opioid analgesics (3). Patients experiencing a postdischarge ADR were older than patients not experiencing one (median age: 77 vs 68 years; p = 0.004). Detected ADRs were considered preventable in 59% of cases.

CONCLUSIONS

Physicians and patients should be aware of the possible occurrence of postdischarge ADRs. Patient information in hospital, close postdischarge follow-up of patients at risk, and appropriate transmission of information between hospital physicians and GPs can help to prevent them.

Utilization, costs, and access to primary care in fee-for-service and managed care plans

This study compares access to primary care, utilization, and costs among enrollees in four forms of managed care and an indemnity plan. We use 1996 data from a commercial insurer. Most managed care enrollees had better access to primary care services than indemnity enrollees. This access was associated with a generally lower rate of preventable hospitalization. Per capita inpatient costs were notably lower in managed care plans than in the indemnity plan. We describe how health care managers can use readily available administrative data and straightforward statistical techniques to enhance routine monitoring for quality and costs. Policy makers can use this approach to identify health services trends, and to evaluate access to health services for individuals enrolled in various benefit plan types.