Chapter 88 Quality Assurance and Patient Safety in The Intensive Care Unit
4 List the uses to which severity of illness scoring systems are commonly applied
Stratification: Multiple scoring systems exist to stratify the severity or acuity of illness of critically ill patients. Examples of such classification systems are the:
These systems allow comparison of outcomes related to differing therapeutic approaches and attempt to match patients for severity of illness. The multiple scoring systems have not been compared in a prospective manner. Scoring systems for specific disease processes in critically ill patients exist, such as the risk, injury, failure, loss (complete loss of kidney function × 4 weeks) and end-stage kidney disease (complete loss of kidney function × 3 months) (RIFLE) criteria for kidney injury. Disease-specific scoring systems allow for standardized assessment enabling uniformity for research.
Efficiency of care delivery: Efficiency can be measured only if objective measures of resources are used together with models that define a population’s acuity of illness. It is important that the stratification of illness models have some validity in predicting outcome. These may be provided by the APACHE system and the Therapeutic Intervention Scoring System, among others.
Decision making in clinical management: Decision making may be aided by considering the information provided by scoring systems as these models allow physicians to stratify patients into cohorts. However, clinicians must be cognizant that scoring systems provide population illness overview, not specific patient prognosis. Individual patient data must be used when providing prognostic information for patients and their families.
Economics: Scoring of patients can assist in appropriate billing and reimbursement code application.
6 List a number of observations on which to base assessment of outcome
Patient satisfaction: This should include not only the patient’s subjective opinions but also some objective observations of outcome such as activities of daily living scores. A significantly understudied aspect of this parameter is the posthospital status of the patient.
Length of stay: The length of stay both in the hospital and in the ICU for patients who have been stratified by diagnosis, acuity, and comorbidities on admission provides valuable insight into outcomes and an excellent database for benchmarking, if studied consistently over a reasonable period.
Mortality indexed to severity of illness: Although this information can provide a simple benchmarking tool, the data should be critically reviewed because death cannot always be equated with a bad outcome.
Incidence of unanticipated returns to the ICU during the same hospital stay: This indicator may yield important information if examined in some detail. In addition to the actual incidence (which can be used for benchmarking), the individual cases should be reviewed. This may reveal a need to review the criteria for transferring patients from the unit or the compliance with the same. Alternatively, it may stimulate consideration of the adequacy of the care capabilities of the environments receiving the patients on discharge from the unit.
Incidence of complications: Complications may be linked to procedures (e.g., line placement, endotracheal intubation) or to general management (e.g., nosocomial infection, medication errors). Of major importance are those that have a clear impact on patient welfare. The criteria for identifying these and the methodology for data collection and analysis should be defined and consistently applied.
7 How applicable to the ICU is the clinical or critical pathway approach to the maintenance of cost-effective care delivery?
Although the development of so-called clinical pathways has had considerable success in reducing costs while maintaining or improving standards of care and clinical outcomes, this methodology appears to be applicable mainly to patients with diagnoses wherein there is a fairly homogeneous group of patients who run broadly similar courses. Good examples of these diagnoses are acute coronary syndromes and hip fractures. In the case of the patient population in a mixed adult medical-surgical ICU, however, there is no such homogeneity, and it is often virtually impossible to describe an average course for a given diagnosis. Such a diversity of progression exists that relates primarily to the individual patient circumstances that it is of little value to compare the course of an individual patient with the clinical pathway. A much better approach in the ICU is to write treatment algorithms applicable to discrete segments of the patient’s care within the continuum of the entire illness (e.g., weaning with use of therapist-driven protocols or use of the ventilator bundle, Centers for Disease Control and Prevention line insertion bundle, or sepsis bundle) (Box 88-1). The use of this approach maintains all the advantages of getting groups together to discuss and agree on a unified approach toward aspects of care (thus reducing expensive diversity) without wasting time and energy on trying to define nonexistent average courses of these illnesses.
Box 88-1 Surgical time-out checklist
All team members have been introduced by name and role.
Confirmation of the patient’s identity, surgical site, and procedure.
Review of anticipated critical events.
Confirmation that prophylactic antibiotics have been administered ≤60 minutes before incision is made or antibiotics not indicated.
Confirmation that all essential imaging results for the correct patient are displayed in the operating room.
9 How can patient safety be improved?
Health care providers can commit to a culture of safety to improve patient care. The Institute for Healthcare Improvement’s 100,000 Lives Campaign and its later 5 Million Lives Campaign helped health care organizations set specific goals and targets to improve patient safety. These goals forced health care providers to reexamine the acceptance of previously tolerated errors that increased morbidity and mortality. A zero tolerance for errors and innovative strategies from other high-risk professions have helped physicians understand that safety can be improved. For example, although significant differences exist between the airline industry and the delivery of critical care medicine, one glaring similarity exists. Mistakes can have horrendous consequences. The use of checklists in aviation has led to increased safety, and the similar use of checklists has dramatically decreased surgical complications (see Box 88-2).
10 Can you give an example of a patient safety project that dramatically improved patient care in critically ill patients?
Multiple examples exist in the medical literature, but among the most dramatic was the Michigan Health & Hospital Association Keystone ICU project, which addressed central line–associated bloodstream infections (CLABSI). Catheter-related bloodstream infections cause close to 30,000 deaths in ICUs annually, and each infection leads to accrued cost over $40,000. The safety project used five proven techniques to reduce CLABSI (see Box 88-3). After 18 months of intervention, CLABSI decreased by 60%, and in a follow-up study the results were sustained at 36 months.
11 What are common barriers to improvements in patient safety?
Key Points Quality Assurance and Patient Safety in the Intensive Care Unit
1. Quality assurance in the ICU means meeting the expectations of patients with the appropriate use of resources.
2. The use of multidisciplinary teams to provide care in ICUs has been validated.
3. Performance improvement projects are necessary to evaluate and improve care for the critically ill.
4. Patient safety is a major concern for critically ill patients.
5. Health care providers can improve patient safety in ICUs with a willingness to reexamine their own professional practices.
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