Inpatient Quality Indicators Research Articles

Board Engagement in Quality: Findings of a Survey of Hospital and System Leaders

Hospital governing boards assume an important role in improving delivery of quality care in the hospital. More knowledge about the prevalence and impact of particular board activities can help them perform this role more effectively. This study draws from a survey of hospital and system leaders (presidents/chief executive officers [CEOs]) that was conducted in the first six months of 2006 with a total of 562 respondents. The survey contained 27 questions on various aspects of board engagement in quality. More than 80 percent of the responding CEOs indicated that their governing boards establish strategic goals for quality improvement, use quality dashboards to track performance, and follow up on corrective actions related to adverse events. The adoption of other practices was reported less frequently. Only 61 percent of the respondents indicated that their governing boards have a quality committee. The existence of a board quality committee was associated with higher likelihoods of adopting various oversight practices and lower mortality rates for six common medical conditions measured by the Agency for Healthcare Research and Quality's Inpatient Quality Indicators and the State Inpatient Databases. Hospital governing boards appear to be actively engaged in quality oversight, particularly through use of internal data and national benchmarks to monitor the quality performance of their organizations. Having a board quality committee can significantly enhance the board's oversight function. Other potentially useful activities-such as board involvement in setting the agenda for the discussion on quality, inclusion of the quality measures in the CEO's performance evaluation, and improvement of quality literacy of board members-are currently performed infrequently.

Hospital quality of care

Hospitals have been slow to adopt information technology (IT) largely because of a lack of generalizable evidence of the value associated with such adoption. To explore the relationship between IT adoption and quality of care in acute-care hospitals. Primary data on hospital IT adoption were combined with secondary hospital discharge data. Regression analyses were used to examine the relationship between various measures of IT adoption and several quality indicators after controlling for confounders. Adoption of IT was measured using a previously validated method that considers clinical, administrative, and strategic IT capabilities of acute-care hospitals. Quality measures included the Inpatient Quality Indicators developed by the Agency for Healthcare Research and Quality. Data from 98 hospitals were available for analyses. Hospitals adopted an average of 11.3 (45.2%) clinical IT applications, 15.7 (74.8%) administrative IT applications, and 5 (50%) strategic IT applications. In multivariate regression analyses, hospitals that adopted a greater number of IT applications were significantly more likely to have desirable quality outcomes on seven Inpatient Quality Indicator measures, including risk-adjusted mortality from percutaneous transluminal coronary angioplasty, gastrointestinal hemorrhage, and acute myocardial infarction. An increase in clinical IT applications was also inversely correlated with utilization of incidental appendectomy, and an increase in the adoption of strategic IT applications was inversely correlated with risk-adjusted mortality from craniotomy and laparoscopic cholecystectomy. Hospital adoption of IT is associated with desirable quality outcomes across hospitals in Florida. These findings will assist hospital leaders interested in understanding better the effect of costly IT adoption on quality of care in their institutions.

Impact of the Present-on-Admission Indicator on Hospital Quality Measurement

The Agency for Healthcare Research and Quality (AHRQ) has constructed Inpatient Quality Indicator (IQI) mortality measures to measure hospital quality using routinely available administrative data. With the exception of California, New York State, and Wisconsin, administrative data do not include a present-on-admission (POA) indicator to distinguish between preexisting conditions and complications. The extent to which the lack of a POA indicator biases quality assessment based on the AHRQ mortality measures is unknown. To examine the impact of the POA indicator on hospital quality assessment based on the AHRQ mortality measures using enhanced administrative data from California, which includes a POA indicator. Retrospective cohort study based on 2.07 million inpatient admissions between 1998 and 2000 in the California State Inpatient Database. The AHRQ IQI software was used to calculate risk-adjusted mortality rates using either (1) routine administrative data that included all the International Classification of Diseases (ICD)-9-CM codes or (2) enhanced administrative data that included only the ICD-9-CM codes representing preexisting conditions. The inclusion of the POA indicator frequently results in changes in the quality ranking of hospitals classified as high-quality or low-quality using routine administrative data. Twenty-seven percent (stroke) to 94% (coronary artery bypass graft) of hospitals classified as high-quality using routine administrative data were reclassified as intermediate- or low-quality hospitals using the enhanced administrative data. Twenty-five percent (congestive heart failure) to 76% (percutaneous coronary intervention) of hospitals classified as low-quality hospitals using enhanced administrative data were misclassified as intermediate-quality hospitals using routine administrative data. Despite the fact that the AHRQ IQIs were primarily intended to serve as a screening tool, they are being increasingly used to publicly report hospital quality. Our findings emphasize the need to improve the "quality" of administrative data by including a POA indicator if these data are to serve as the information infrastructure for quality reporting.

Trescientos indicadores de calidad hospitalarios automáticos a partir del Conjunto Mínimo de Datos Básicos

Objective To present a system for monitoring the quality of care in hospitals with automated inpatient quality indicators (AIQI) obtained from a minimum basic data set (MBDS) with a view to facilitating benchmarking and improving the quality of care in hospitals. Material and methods A working group was set up to obtain the AIQI, based on quality-related information from the MDBS. Specific AIQI were assigned to each clinical process with the collaboration of specialist physicians. Results Three hundred AIQI were designed to be selectively applied to clinical processes. We obtained a computer program to exploit the MDBS. The program monitors inpatient activity by means of 1000 clinical processes with 300 AIQI. The program was installed in the network of the hospitals of the Osakidetza-Basque Health Service and was applied to the MDBS from 1995 to 2005 (more than two million discharges). Conclusions The quality of hospital healthcare can be measured by means of quality indicators obtained from the MBDS. The MDBS is a standardized database available in all Spanish hospitals that allows benchmarking among hospitals. It provides information on clinical processes through AIQI, facilitating immediate benchmarking. Areas requiring improvement and problems requiring more detailed study can be identified.

The Effect of Cuts in Medicare Reimbursement on Hospital Mortality

To determine if patients treated at hospitals under different levels of financial strain from the Balanced Budget Act (BBA) of 1997 had differential changes in 30-day mortality, and whether vulnerable patient populations such as the uninsured were disproportionately affected. Hospital discharge data from all general acute care hospitals in Pennsylvania from 1997 to 2001. A multivariate regression analysis was performed retrospectively on 30-day mortality rates, using hospital discharge data, hospital financial data, and death certificate information from Pennsylvania. We used 370,017 hospital episodes with one of four conditions identified by the Agency for Healthcare Research and Quality as inpatient quality indicators were extracted. The average magnitude of Medicare payment reduction on overall net revenues was estimated at 1.8 percent for hospitals with low BBA impact and 3.6 percent for hospitals with a high impact in 1998, worsening to 2 and 4.8 percent, respectively, by 2001. Operating margins decreased significantly over the time period for all hospitals (p<.05). While unadjusted mortality rates demonstrated a disproportionate rise in mortality for patients from high impact hospitals from 1997 to 2000, adjusted analyses show no consistent, significant difference in the rate of change in mortality between high-impact and low-impact hospitals (p=.04-.94). Similarly, uninsured patients did not experience greater increases in mortality in high-impact hospitals relative to low-impact hospitals. An analysis of hospitalizations in the Commonwealth of Pennsylvania did not find an adverse impact of increased financial strain from the BBA on patient mortality either among all patients or among the uninsured.

Relationship Between Performance Measurement and Accreditation: Implications for Quality of Care and Patient Safety

This study examined the association between the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) accreditation scores and the Agency for Healthcare Research and Quality's Inpatient Quality Indicators and Patient Safety Indicators (IQIs/PSIs). JCAHO accreditation data from 1997 to 1999 were matched with institutional IQI/PSI performance from 24 states in the Healthcare Cost and Utilization Project. Most institutions scored high on JCAHO measures despite IQI/PSI performance variation with no significant relationship between them. Principal component analysis found 1 factor each of the IQIs/PSIs that explained the majority of variance on the IQIs/PSIs. Worse performance on the PSI factor was associated with worse performance on JCAHO scores (P=.02). No significant relationships existed between JCAHO categorical accreditation decisions and IQI/PSI performance. Few relationships exist between JCAHO scores and IQI/PSI performance. There is a need to continuously reevaluate all measurement tools to ensure they are providing the public with reliable, consistent information about health care quality and safety.

Evaluating hospital care for individuals with Alzheimer's disease using inpatient quality indicators.

The purpose of this study was to determine whether persons with Alzheimer's disease (AD) were at greater risk for in-hospital mortality than non-AD patients as a result of poor quality of care. The study focused on six common medical conditions that result in hospital mortality. Using 1995 to 2000 data from New York state (n = 7,021,065), analysts compared mortality risk for individuals with and without AD. Among men, adjusted odds of death were greater for those with AD for gastrointestinal (GI) hemorrhage (+52 percent), congestive heart failure (CHF) (+42 percent), hip fracture (+35 percent), and acute myocardial infarction (AMI) (+30 percent) (all p < .0001). Among women, AD did not affect risks for most conditions. The results of the study show that men with AD are at higher risk of hospital mortality for common medical conditions, which may indicate poor quality of care. Their risk of hospital death was greater than that of men without AD for AMI, CHF, hip fracture, and GI hemorrhage. Their risk was also greater than that of women with AD for CHF, pneumonia, hip fracture, and GI hemorrhage. With the exception of pneumonia, this risk difference notably exceeded the analogous difference between women and men without AD. Hospital staff should be alerted to greater mortality risk for men with AD, as this risk may indicate lower quality of care.

Improving health care systems performance: a human factors approach.

Under contract from the Centers for Medicare & Medicaid Services (CMS), Medicare Quality Improvement Organizations (QIOs) promote improvement in health care system performance. With the QIO contract cycle that began in the fall of 1999, CMS adopted a broad national improvement agenda emphasizing 24 quality measures from 6 clinical topic areas. The Utah QIO developed a human factors and organizational safety management-based intervention strategy for the inpatient clinical topic areas, borrowing approaches and principles previously applied in hospital-based medication systems safety improvement efforts. Evaluation used measures and methods established by CMS to assess the adequacy of QIO performance nationwide. Comparison of statewide inpatient quality indicator performance rates in 1998 and 2000 showed absolute improvement on 15 of the 16 measures used. The average reduction in the failure rate for these clinical topic areas in Utah was 27.3%; this was the highest rate of improvement for any state in the nation. Utah's overall ranking on the combined inpatient clinical topic areas went from 16th at baseline to first at follow-up. The evaluation demonstrates exceptional levels of performance improvement in Utah hospitals when compared with national trends. It is, however, neither possible to uniquely isolate the effects of the QIO intervention from larger trends operating statewide, nor can the contributions of the various facets of the QIO intervention be disaggregated. The application of human factors and organizational safety management principles represents a promising strategy for accelerating the pace of improvement in health care.

Analysis of healthcare quality indicator using data mining and decision support system

Abstract This study presents an analysis of healthcare quality indicators using data mining for developing quality improvement strategies. Specifically, important factors influencing the inpatient mortality were identified using a decision tree method for data mining based on 8405 patients who were discharged from the study hospital during the period of December 1, 2000 and January 31, 2001. Important factors for the inpatient mortality were length of stay, disease classes, discharge departments, and age groups. The optimum range of target group in inpatient healthcare quality indicators were identified from the gains chart. In addition, a decision support system (DSS) was developed to analyze and monitor trends of quality indicators using Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. In the future, other quality indicators should be analyzed to effectively support a hospital-wide continuous quality improvement (CQI) activity and the DSS should be well integrated with the hospital order communication system (OCS) to support concurrent review.