Quality health care is associated with the absence of negative outcomes in patients. Institutions realize that quality cannot be assured but it can be assessed and methods can be developed to improve patient care. Many health care institutions, therefore, have begun the conceptual transition from a quality assurance model to principles of continuous quality improvement (CQI). This article describes a CQI project that was developed to enhance infection control standards in OR settings. The project involved three phases: development of a survey tool, implementation of an environmental assessment and monitoring model, and transfer of the model to OR staff members. Five months after implementation of the model, the chi-square test revealed there was a significant improvement in compliance (x2 = 5.0, P <.03). After 22 months of using the model, compliance to infection control standards remains high and OR staff members have taken ownership of the model by incorporating it into their departmental CQI process. AORN J 62 (Oct 1995) 595–602.

Sample-size determination is a crucial component of study design. Estimates of sample size are influenced by the amount of change that must occur between study groups and the degree of risk that the investigator is willing to accept in evaluating the null hypothesis. A complete understanding of the impact of sample size on the interpretation of study data is therefore a prerequisite for quality, innovative, valid research.

The pediatrician's job becomes frustrating when it is necessary to deal with difficult parents. Some physicians may not have the training or inclination to engage such parents in a therapeutic partnership. This paper discusses tools available to physicians which will help them develop an effective partnership that includes uncovering the hidden meaning behind a child's illness; understanding the reciprocal nature of partnerships; and the importance of determining each party's goals, roles, and expectations. Negotiating these steps enables physicians to develop a productive relationship with difficult parents of sick children. This strategy can facilitate the child's medical care and improve the parents' and physician's satisfaction with the services rendered. This paper also discusses steps to take when these attempts are not sufficient to handle the situation.

OBJECTIVE:To describe the epidemiology of a cluster of vancomycin-resistant Enterococcus faecium (VAREC) in a cardiothoracic surgery intensive care unit.DESIGN:A case series of patients identified through review of surveillance data on nosocomial infections, review of microbiologic records, and culture survey of patients in the unit.RESULTS:Six patients in the cardiothoracic surgery intensive care unit had VAREC with identical antimicrobic susceptibility patterns over a 6-month period. Four patients were identified with VAREC through prospective surveillance and 2 through retrospective review. Prior vancomycin use was seen more commonly in patients with VAREC (6/6, 100%) than in those without VAREC (3/12, 25%) (Fisher's exact test, p = .01). Six of the 7 patients with prior infection developed VAREC (85.7%). A prior nosocomial infection and prior exposure to vancomycin were found to be important variables in a logistic regression analysis. VAREC also was isolated from the environment. A combination of cohorting of patients and staff, and modifications of standard contact isolation practices eliminated the presence of VAREC from the cardiothoracic surgery intensive care unit.CONCLUSIONS:The results suggest that prior administration of vancomycin, especially in the patient who develops nosocomial infection, can influence the acquisition of vancomycin-resistant enterococci and that VAREC may be transmitted from patient to patient. Using a modification of the standard infection control practice of isolation, we were able to control the spread of this resistant strain of E faecium.

Because nosocomial infection rates vary by hospital area and service, most infection control programs calculate area-specific rates to augment the reporting of their hospital-wide data. Rate development is often limited by the availability of appropriate specific denominator data to support important comparisons. Our university hospital reports a 20 month experience in which numerator data was collected as per the National Nosocomial Infections Surveillance System criteria for hospital-wide, high-risk nursery and ICU surveillance. These data were then combined with data in our hospital's patient-specific denominator file. This has enabled the development of risk-specific infection rates based on the analytic control of important variables available in both the numerator and denominator files. We found rate differences that were length of stay cohort specific, hospital day specific, age specific, birthweight specific, and survival cohort specific when examining our data by both the cumulative incidence and incidence density methods.

AbstractThree different sequentially applied post-varicella zoster virus (VZV) exposure management strategies were employed over a 43-month period. We began by using a standard post-exposure protocol in which 50 susceptible healthcare workers (HCW) involved in hospital exposures were furloughed from work at a loss to the hospital of 424 workdays and $46,000. Of the eight nosocomial cases of VZV infection in HCWs, four (50%) caused future HCW and patient exposure. In trial I, we substituted a post-exposure screening procedure for the standard work furlough procedure. We screened 77 exposed staff resulting in one nosocomial VZV infection that was the source of another exposure incident. No secondary cases of varicella resulted from this exposure and only 20 days of furlough time were used during trial I. As VZV resulting from a home exposure source was responsible for most hospital exposures in which HCWs were the source, our trial II protocol added the Centers for Disease Control's (CDC) off-duty procedure, but limited its use to susceptibles exposed at home. The 43-month overall attack rate of nosocomial varicella was 4.7%, while the true home exposure attack rate was 79% (p< .00001). There was an average of 42.4 lost workdays charged to the hospital per incident under the standard protocol and three days per incident in the combined experience of trials I and II (p< .0001). Both trial protocol periods saved the hospital many potentially lost HCW days, 592 and 401, respectively, but the trial I protocol led to an observed increase in hospital exposure incidents. While the trial II protocol resulted in more lost workdays (120 of 521) than the trial I protocol, it prevented 18 additional HCW exposures. We conclude that the trial II protocol is safe and the most cost-effective of the three management strategies.