Biomedical subjects

Vinita Bahl

Publications and source records attributed to Vinita Bahl.

5 recordsLinked to original sources

PubMed2006

Population-based medical and disease management: an evaluation of cost and quality.

Reports by the Institute of Medicine and the Health Care Financing Administration have emphasized that the integration of medical care delivery, evidence-based medicine, and chronic care disease management may play a significant role in improving the quality of care and reducing medical care costs. The specific aim of this project is to assess the impact of an integrated set of care coordination tools and chronic disease management interventions on utilization, cost, and quality of care for a population of beneficiaries who have complementary health coverage through a plan designed to apply proactive medical and disease management processes. The utilization of health care services by the study population was compared to another population from the same geographic service area and covered by a traditional fee-for-service indemnity insurance plan that provided few medical or disease management services. Evaluation of the difference in utilization was based on the difference in the cost per-member-per-month (PMPM) in a 1-year measurement period, after adjusting for differences in fee schedules, case-mix and healthcare benefit design. After adjustments for both case-mix and benefit differences, the study group is $63 PMPM less costly than the comparison population for all members. Cost differences are largest in the 55-64 and 65 and above age groups. The study group is $115 PMPM lower than the comparison population for the age category of 65 years and older, after adjustments for case-mix and benefits. Health Plan Employer and Data Information Set (HEDIS)-based quality outcomes are near the 90th percentile for most indications. The cost outcomes of a population served by proactive, population-based disease management and complex care management, compared to an unmanaged population, demonstrates the potential of coordinated medical and disease management programs. Further studies utilizing appropriate methodologies would be beneficial.

Adolescent↗

PubMed2005

Linear programming to optimize performance in a department of surgery.

BACKGROUND: Linear programming is an analytic method that can be used to develop models for health care that optimize distribution of resources through mathematical means. STUDY DESIGN: The linear programming model contained objective, decision, and constraint elements. The objective was to optimize financial outcomes for both the hospital and physicians in the Department of Surgery. The decision concerns procedure mix or the number of each type of surgical procedure. Constraints apply to resources that are consumed during the course of the patient's surgical encounter. RESULTS: The optimal solution produced an increase in professional payments of 3.6% and an increase in hospital total margin of 16.1%. This solution favored surgical procedures that require inpatient care; these patients had greater comorbidity, reflected in a higher case-mix index of 3.74 compared to 2.97. Substantial differences were noted in use of general care and ICU days, and in consumption of preoperative, intraoperative, and recovery room time. CONCLUSIONS: Aligning quality surgical care with optimal financial performance may be assisted by mathematical models such as linear programming.

Comorbidity↗

PubMed2004

Relevance of the Agency for Healthcare Research and Quality Patient Safety Indicators for children's hospitals.

OBJECTIVES: Patient safety indicators (PSIs) were developed by the Agency for Healthcare Research and Quality. Our objectives were (1) to apply these algorithms to the National Association of Children's Hospitals and Related Institutions (NACHRI) Aggregate Case Mix Comparative Database for 1999-2002, (2) to establish mean rates for each of the PSI events in children's hospitals, (3) to investigate the inadequacies of PSIs in relation to pediatric diagnoses, and (4) to express the data in such a way that children's hospitals could use the PSIs determined to be appropriate for pediatric use for comparison with their own data. In addition, we wanted to use the data to set priorities for ongoing clinical investigations and to propose interventions if the indicators demonstrated preventable errors. METHODS: The Agency for Healthcare Research and Quality PSI algorithms (version 2.1, revision 1) were applied to children's hospital administrative data (1.92 million discharges) from the NACHRI Aggregate Case Mix Comparative Database for 1999-2002. Rates were measured for the following events: complications of anesthesia, death in low-mortality diagnosis-related groups (DRGs), decubitus ulcer, failure to rescue (ie, death resulting from a complication, rather than the primary diagnosis), foreign body left in during a procedure, iatrogenic pneumothorax, infection attributable to medical care (ie, infections related to surgery or device placement), postoperative hemorrhage or hematoma, postoperative pulmonary embolism or venous thrombosis, postoperative wound dehiscence, and accidental puncture/laceration. RESULTS: Across the 4 years of data, the mean risk-adjusted rates of PSI events ranged from 0.01% (0.1 event per 1000 discharges) for a foreign body left in during a procedure to 14.0% (140 events per 1000 discharges) for failure to rescue. Review of International Classification of Diseases, Ninth Revision, Clinical Modification codes associated with each PSI category showed that the failure to rescue and death in low-mortality DRG indicators involved very complex cases and did not predict preventable events in the majority of cases. The PSI for infection attributable to medical care appeared to be accurate the majority of the time. Incident risk-adjusted rates of infections attributable to medical care averaged 0.35% (3.5 events per 1000 discharges) and varied up to fivefold from the lowest rate to the highest rate. The highest rates were up to 1.8 times the average. CONCLUSIONS: PSIs derived from administrative data are indicators of patient safety concerns and can be relevant as screening tools for children's hospitals; however, cases identified by these indicators do not always represent preventable events. Some, such as a foreign body left in during a procedure, iatrogenic pneumothorax, infection attributable to medical care, decubitus ulcer, and venous thrombosis, seem to be appropriate for pediatric care and may be directly amenable to system changes. Evidence-based practices regarding those particular indicators that have been reported in the adult literature need to be investigated in the pediatric population. In their present form, 2 of the indicators, namely, failure to rescue and death in low-mortality DRGs, are inaccurate for the pediatric population, do not represent preventable errors in the majority of pediatric cases, and should not be used to estimate quality of care or preventable deaths in children's hospitals. The PSIs can assist institutions in prioritizing chart review-based investigations; if clusters of validated events emerge in reviews, then improvement activities can be initiated. Large aggregate databases, such as the NACHRI Case Mix Database, can help establish mean rates of potential pediatric events, giving children's hospitals a context within which to examine their own data.

Algorithms↗

PubMed2004

Clinical redesign using all patient refined diagnosis related groups.

OBJECTIVE: Clinical redesign of processes in hospitals that care for children has been limited by a paucity of severity-adjusted indicators that are sensitive enough to identify areas of concern. This is especially true of hospitals that analyze pediatric patient care using standard Centers for Medicare and Medicaid Services (CMS) diagnosis-related groups (DRGs). The objectives of this study were to determine whether 1) utilization of all-patient refined (APR)-DRG severity-adjusted indicators (length of stay, cost per case, readmission rate) from the National Association of Children's Hospitals and Related Institutions (NACHRI) database could identify areas for improvement at University of Michigan Mott Children's Hospital (UMMCH) and 2) hospital staff could use the information to implement successful clinical redesign. METHODS: The APR-DRG Classification System (version 20) was used with the NACHRI Case Mix Comparative Database by severity level comparison from 1999 to 2002. Indicators include average length of stay (ALOS), case mix index, cost per case, and readmission rate for low acuity asthma (APR-DRG 141.1). UMMCH cases of 141.1 (n = 511) were compared with NACHRI 141.1 (n = 64,312). Although not part of the standard report, mortality rates were calculated by NACHRI for UMMCH and an aggregate of NACHRI member children's hospitals. RESULTS: Data from 1999 revealed that in noncomplicated asthma cases (level 1 severity), the UMMCH ALOS versus NACHRI ALOS was slightly longer (UMMCH 2.16 days vs NACHRI 2.14 days), and the cost per case was higher (UMMCH $2824 vs NACHRI 2738 dollars), whereas levels 2, 3, and 4 cases (moderate, major, and extreme severity) indicated the ALOS and cost per case were lower than the national aggregate. This showed that the APR-DRG system was sensitive enough to distinguish variances of care within a diagnosis according to severity level. After analysis of internal data and meeting with clinicians to review the indicators, 3 separate clinical processes were targeted: 1) correct documentation of comorbidities and complications, 2) standardized preprinted orders were created with the involvement of the pediatric pulmonologists, and 3) standardized automatic education for parents was started on the first day of admission. Yearly data were reviewed and appropriate adjustments made in the education of both residents and staff. In 2002, the UMMCH ALOS dropped to 1.75 +/- .08 days from 2.16 +/- .09. In 2002, the NACHRI ALOS was 2.00 days +/- 0.01 versus the UMMCH ALOS of 1.75 days +/- 0.0845, indicating that the UMMCH ALOS dropped significantly lower than the NACHRI aggregate database over the 3-year period. Cost per case of UMMCH compared with NACHRI after the 3 years indicated that UMMCH increased 12%, whereas the NACHRI aggregate increased 18%. These data show that length of stay and cost per case relative to the national database improved after clinical redesign. Improvements have been sustained throughout the 3-year period. Readmission rates ranged from 2.97% to 0.80% and were less than the national cohort by the third year. There were no mortalities in the UMMCH inpatient asthma program. This demonstrates that clinicians believed that the data from the APR-DRG acuity-adjusted system was useful and that they were then able to apply classical clinical redesign strategies to improve cost-effectiveness and quality that was sustained over 3 years. CONCLUSIONS: Severity-adjusted indicators were useful for identifying areas appropriate for clinical redesign and contributed to the improvement in cost-effective patient care without a detriment in quality indicators. This method of using a large comparative database, having measures of severity, and using internal analysis is generalizable for pediatric hospitals and can contribute to ongoing attempts to improve cost-effectiveness and quality in medical care.

Asthma↗

PubMed2003

Reducing costs and improving outcomes of percutaneous coronary interventions.

OBJECTIVE: To describe cost reduction and quality improvement efforts in our percutaneous coronary intervention (PCI) program and how risk adjustment was used to assess the effects of these changes. STUDY DESIGN: Single center registry analysis. PATIENTS AND METHODS: Data were collected on 2158 PCIs performed between July 1, 1994, and June 30, 1997. Of these, 1126 PCIs reflected care provided after implementation of competitive bidding for catheterization lab supplies, and efforts to reduce the use of postprocedure heparin and to implement early arterial sheaths removal (postbidding period). Hospital costs were estimated using a microcost accounting method. In-hospital mortality rates during the 2 time periods were compared using standardized mortality ratio estimated with a previously validated risk adjustment model for in-hospital mortality. RESULTS: Compared with the prebidding period, the postbidding period was characterized by a significantly higher utilization of new technology (coronary stents and atherectomy devices 46% vs 25%; abciximab 19.1% vs 3.7, P<.01), and an overall increase in case complexity. Despite these changes, the average and median postbidding cost per case was dollars 1223 and dollars 1444 lower, respectively, than in the prebidding period. After adjustment for comorbidities, procedure variables, complications, and length of hospital stay, multivariate regression modeling identified the postbidding period as an independent predictor of lower hospital costs (P<.001) with an estimated adjusted cost savings of dollars 460. These cost savings were associated with trends toward a lower observed mortality rate, a higher predicted mortality rate, and a significantly lower standardized mortality ratio (SMR .71; 95% CI 0.48-0.9; P<.05). CONCLUSION: Despite an increase in case complexity and utilization of new technology, cost reductions can be achieved through competitive bidding for supplies and modifications of periprocedure care. Risk adjustment appears to be a valid tool for assessing the effectiveness of these efforts independently from changes in case mix.

Aged↗