Inpatient management protocols to reduce health care costs

The impact of a post-operative clinical care pathway on head and neck microvascular free tissue transfer outcomes

OBJECTIVE

To study the impact of a clinical care pathway and computerised order set on short-term post-operative outcomes for patients undergoing head and neck free tissue transfer.

METHODS

In this retrospective cohort study, patients who underwent head and neck free tissue transfer by a single reconstructive surgeon between January 2007 and July 2009 were assigned to one of two cohorts based on the timing of their surgery: pre- or post-clinical care pathway implementation. Measured outcomes included peri-operative complications and mortality, length of hospital stay and costs, unplanned reoperations, and readmissions within 30 days of discharge.

RESULTS

The pre-clinical care pathway cohort included 81 patients and the post-clinical care pathway cohort comprised 46. Implementation of the clinical care pathway was associated with decreased variability in length of hospital stay (median (interquartile range) = 8 (6, 11) vs 7 (6, 9) days). The post-clinical care pathway cohort also had a significantly lower unplanned reoperation rate (15.2 vs 35.8 per cent, p = 0.01).

CONCLUSION

A clinical care pathway is a successful means of standardising and improving complex patient care. In this study, care pathway implementation in head and neck free tissue transfer patients improved efficiency and the quality of patient care.

What are hospitals doing to increase beta-blocker use?

BACKGROUND

Despite the many proposed methods for improving quality, little is known about which methods are being applied in practice across the United States or their perceived effectiveness.

METHODS

A descriptive, cross-sectional analysis of data from a telephone survey of quality improvement staff in 234 randomly selected hospitals participating in the National Registry of Myocardial Infarction was conducted to examine the prevalence and perceived effectiveness of various quality improvement interventions directed at increasing beta-blocker use after acute myocardial infarction.

RESULTS

The mean and median number of quality improvement interventions directed at beta-blocker use in the past 4 years was 5.0 per hospital. The most commonly reported effort was performance reporting about beta-blocker use (87.9%), although only 26.7% used physician-specific performance reporting. More than half the hospitals implemented clinical pathways (58.1%), standing orders (56.8%), or care coordinators (50.4%). Care coordinators (63.4%) and computer support systems (61.6%) were most frequently rated as "very effective." Clinical pathways (24.2%), counseling physicians who had poor performance (26.9%), and reminder forms (23.0%) were most frequently rated as not effective.

CONCLUSIONS

Substantial variation in the types of quality improvement efforts implemented to increase beta-blocker use and perceived effectiveness were evident.

Results of a computerized screening of stroke patients for unjustified hospital stay

BACKGROUND AND PURPOSE

Effective methods to monitor length of stay can help reduce unnecessary hospital stay without adversely affecting the quality of care. In this study a clinical algorithm for assessing unjustified hospital stay in stroke patients was computerized and tested.

METHODS

An algorithm was developed by the authors to estimate the number of medically justified and unjustified hospital days for patients admitted with a primary diagnosis of ischemic stroke. Data for the algorithm were obtained from 177 stroke patients from an acute-care teaching hospital. The performance of the algorithm was evaluated on a subset of 46 patients by comparing the number of medically unjustified hospital days determined by the algorithm with the consensus determination of two neurologists.

RESULTS

The algorithm classified 68% of the 177 patients as having some unjustified hospital days and 41% of all hospital days as unjustified. With the neurologists as the gold standard, the sensitivity of the algorithm was .89 and the specificity was .91. The correlation between the number of unjustified days determined by the algorithm and the neurologists was .76.

CONCLUSIONS

There is considerable unjustified length of stay for stroke patients. Physicians can develop simple clinical algorithms for detecting unjustified hospital stay in stroke patients that provide a reasonable approximation of complex clinical judgment.

Clinical evaluation of computer-based respiratory care algorithms

A collection of computer-based respiratory care algorithms were implemented as a prototype computer-based patient advice system (COMPAS) within the existing HELP hospital information system. Detailed medical logic recommended ventilator adjustments for 5 different modes of ventilation: assist/control (A/C), intermittent mandatory ventilation (IMV), continuous positive airway pressure (CPAP), pressure controlled inverted ratio ventilation (PC-IRV), and extracorporeal carbon dioxide removal (ECCO2R). Suggestions for adjusting the mode of ventilation, fraction of inspired oxygen (FiO2), positive end-expiratory pressure (PEEP), peak inspiratory pressure, and several other therapeutic measures related to the treatment of severe arterial hypoxemia in adult respiratory distress syndrome (ARDS) patients were automatically presented to the clinical staff via bedside computer terminals. COMPAS was clinically evaluated for 624 hours of patient care on the first 5 ARDS patients in a randomized clinical trial. The clinical staff carried out 84% (320/379) of the computerized therapy suggestions. In response to a questionnaire distributed to clinical users of the system, 86% judged the system to be potentially valuable. Through implementation of COMPAS, a computer-based ventilatory therapy advice system, we have laid the groundwork for standardization of ventilator management of arterial hypoxemia in critically ill ARDS patients.

Practice guidelines to reduce testing in the hospital

OBJECTIVE

To reduce testing among hospitalized patients using practice guidelines for any of 14 medical problems.

DESIGN

Comparison of test use before and after implementation of guidelines. The guidelines were developed by consensus panels of self-selected participating physicians. Non-participating physicians were monitored during the same periods. In addition, the two groups of physicians were evaluated similarly for their management of three medical problems for which guidelines were not developed.

SETTING

Acute care hospital.

PATIENTS/PARTICIPANTS

1,638 hospitalized patients and their 79 physicians.

INTERVENTION

Implementation of practice guidelines for the care of hospitalized patients.

MEASUREMENT AND MAIN RESULTS

Geometric mean charges expressed in inflation-adjusted dollars were used as measures of test use. For the intervention group, laboratory tests decreased by 20.6%, x-rays by 42.3%, and EKGs by 34.2%. All the decreases were significant (p = 0.001). The non-participating physicians who were higher test users during both years of the study also achieved significant (p less than 0.05) but smaller reductions during the intervention year: 13.9% for laboratory tests, 30.3% for x-rays, and 21.8% for EKGs, perhaps because the same residents were involved in the care of both groups of patients. For the non-guideline diagnoses, the participating physicians achieved reductions of 11.1% for laboratory tests and 19.2% for x-rays, and a 3.5% increase in EKGs. Two-way analyses of variance that took into account the reductions in testing achieved by non-participants, or by participants with non-guideline diagnoses, revealed no significant reduction in testing attributable directly to the guidelines except for EKGs. Follow up of the participating physicians during the six months after the end of the intervention revealed that testing remained at the lower level achieved while the guidelines were in use. Outcome of care, as measured by deaths in the hospital, deaths within 90 days of discharge, and readmissions within 90 days of discharge, was not affected by the use of the guidelines.

CONCLUSIONS

1) A large group of physicians could be recruited in a hospital to establish practice guidelines by group consensus. 2) These self-selected physicians were willing to use the guidelines (or allow the housestaff to use them) while caring for their patients. 3) Participating physicians were able to achieve substantial and significant reductions in testing without any demonstrable adverse effect on quality of care as measured by deaths and readmissions, and without any demonstrable shifting of resources from the inpatient to the outpatient setting of care. 4) The reductions in testing, whether caused by the guidelines or not, persisted for at least six months beyond the end of the period of implementation.

A model of methods for influencing prescribing: Part I. A review of prescribing models, persuasion theories, and administrative and educational methods

The purpose of this literature review is to develop a model of methods to be used to influence prescribing. Four bodies of literature were identified as being important for developing the model: (1) Theoretical prescribing models furnish information concerning factors that affect prescribing and how prescribing decisions are made. (2) Theories of persuasion provide insight into important components of educational communications. (3) Research articles of programs to improve prescribing identify types of programs that have been found to be successful. (4) Theories of human inference describe how judgments are formulated and identify errors in judgment that can play a role in prescribing. This review is presented in two parts. This article reviews prescribing models, theories of persuasion, studies of administrative programs to control prescribing, and sub-optimally designed studies of educational efforts to influence drug prescribing.

Implementation of a computerized patient advice system using the HELP clinical information system

A COMputerized Patient Advice System (COMPAS) was designed to test the feasibility of using the HELP clinical information system to direct the respiratory therapy of intensive care (ICU) patients acutely ill with adult respiratory distress syndrome. A modified black-board control architecture allowed the application of knowledge in either a forward or a backward chaining mode. Expert clinicians recommended decision logic and actions for five different modes of ventilatory support. The clinical staff used COMPAS to manage the ICU ventilatory support of five patients for a total of 624 hr. During that time there were 407 decision-making opportunities. COMPAS automatically generated therapy suggestions 379 (93.1%) times and the clinical staff accepted COMPAS's recommendation in 320 (84.4%) of these cases. These results suggest that the ventilatory support of severely ill ICU patients can be managed by a clinical information system using a blackboard control architecture.

Cost-effective diagnostic test sequencing

Proper diagnostic test selection and logical sequencing can minimize cost without compromising care. This study analyzes the logic for sequencing tests either in series (one after another) or in parallel (simultaneously). A model is created using 2 diagnostic tests for 2 diseases. Tests are assumed to have perfect performance characteristics. Factors involved in cost-effective test sequencing include cost of each test, test performance characteristics, per diem hospital charge, and the clinician's prior probability of the suspected diagnosis based on history, physical examination, and previous laboratory data. At a given point of clinical suspicion, cost-effective sequencing strategy should shift. In general, a cheap test can effectively be used in parallel even at low diagnostic probabilities; an expensive test should, in general, be used in series only when there is a high prior probability of diagnosis. High per diem hospitalization costs--such as for a patient in the intensive care unit--favor in parallel testing. Clinical acumen and suspicion of diagnosis (prior probability) primarily direct cost-effective diagnostic test sequencing. Decision analysis of diagnostic test sequencing represents a technique for making cost-effective decisions for sequencing and, thereby, minimizing costs while achieving optimal patient care.