Dries Myny

Ventilator-associated pneumonia in a tertiary care ICU: analysis of risk factors for acquisition and mortality.

Abstract Objective: To investigate the incidence, risk factors and mortality of ventilator-associated pneumonia (VAP) in intensive care unit (ICU) patients. Design: Prospective, observational, population-based study. Setting: The medical (14-bed) and surgical ICU (26-bed) of the Ghent University Hospital. Methods: All 1295 patients admitted to the ICU during 4 three-month periods between 1996 and 1998 were included. A set of demographic and clinical variables were collected at the day of admission and during the ICU course. Results: The incidence of VAP among ICU patients ventilated at least 48 hours was 23.1%. The mean time to the development of VAP was 9.6 days with a median of 6 days. In the population of patients ventilated for at least 48 hours, a comparison was made between patients with (n=89) and without VAP (n=296). Patients with VAP had a significant longer ICU stay, with a longer ventilation dependency. Logistic regression analysis identified admission diagnosis other than trauma (OR: 0.51, 95% CI: 0.29-0.89; p=0.02) and the length of ICU stay (OR: 1.05, 95% CI: 1.03-1.07; p<0.001) to be independently associated with the acquisiton of VAP. In comparison with the total study population, patients with VAP had a higher ICU mortality (20.2% vs. 12.0%; p=0.04), but not in the cohort group of patients at risk for VAP (ventilated >48 hours) (20.2% vs. 31.3%; p=0.03). The factors independently associated with death were higher SAPS II scores (OR 1.02, 95% CI: 1.003-1.032; p=0.02), an admission diagnosis other than trauma (OR 0.36, 95% CI: 0.17-0.75; p=0.006) and length of ICU stay (OR 0.97, 95% CI: 0.946-0.995; p=0.02). This model did not recognize VAP as an independent predictor of death (OR 0.79, 95% CI: 0.41-1.53; p=0.492). Conclusions: The incidence of VAP in our ICU is 23.1%. Length of ICU stay and an admission diagnosis other than trauma are major risk factors for the development of this nosocomial infection. VAP is associated with a high fatality rate. However, after adjustment for disease severity and length of ICU stay, VAP was not identified as an independent predictor of death.

Determining a set of measurable and relevant factors affecting nursing workload in the acute care hospital setting: A cross-sectional study

BACKGROUND While there has been great interest in the effect of nurse staffing levels have on the quality of care in hospitals, less attention has been given to determining the factors that affect the nursing workload. There are no existing studies that help define measurable factors that have a clear relation to nursing workload. OBJECTIVES The aim of this study was to determine the most important and measurable factors, other than patient acuity, that influence nursing workload. DESIGN A cross-sectional design. SETTINGS Hospitals within the acute hospital care setting. PARTICIPANTS Persons with a nursing educational background, working in Belgian acute care hospitals. METHODS A self-administered questionnaire was developed based on the results of an integrative review, the use of focus groups and a survey on measurability and relevance of the included factors. The questionnaire listed relevant and measurable factors related to nursing workload. Weight and frequency of each factor was assessed. RESULTS The initial list consisted of 94 factors. These factors were regrouped and organised into a questionnaire of 28 measurable and sufficiently relevant factors affecting the nursing workload. More than half of the initial factors seemed to be relevant, but hard to measure on a daily basis. Based on the impact of each factor, the number of work interruptions was the most important factor related to nursing workload. CONCLUSIONS It is unlikely that a workload instrument will ever be able to take into account all possible factors affecting the nursing workload. Nevertheless, the number of work interruptions, the patient turnover rate and the number of mandatory registrations should be included in the development or revision of a workload measurement tool.

Temporal scanner thermometry: a new method of core temperature estimation in ICU patients.

Background and Aims: Temperature measurement is a routine task of patient care, with considerable clinical impact, especially in the ICU. This study was conducted to evaluate the accuracy and variability of the Temporal Artery Thermometer (TAT) in ICU-patients. Therefore, a convenience sample of 57 adult patients, with indwelling pulmonary artery catheters (PAC) in a 40-bed intensive care unit in a university teaching hospital was used. Methods: The study design was a prospective, descriptive comparative analysis. Body temperature was thereby measured simultaneously with the TAT and the Axillary Thermometer (AT), and was compared with the temperature recording of the PAC. The use of vasoactive medication was recorded. Results and conclusions: Mean temperature of all measurements was: PAC: 37.1°C (SD: 0.87), TAT: 37.0°C (SD: 0.68) and axillary thermometer: 36.6°C (SD: 0.94). The measurements of the TAT and the PAC were not significantly different (mean difference: 0.14°C; SD: 0.51; p= 0.33); whereas the measurements of the PAC and the AT differed significantly (mean difference: 0.46°C; SD: 0.39; p< 0.001). Mean difference in PAC versus TAT analyses, between patients with vasopressor therapy (0.12°C; SD: 0.55), and without vasopressor therapy (0.19°C; SD: 0.48) was not statistically significant (p= 0.47). Conclusion: We can conclude that the temporal scanner has a relatively good reliability with an acceptable accuracy and variability in patients with normothermia. The results are comparable to those of the AT, but they do not seem to be sufficient to prove any substantial benefit compared to rectal, oral or bladder thermometry.

Non-direct patient care factors influencing nursing workload: a review of the literature

AIMS The aim of this paper was to detect which non-direct patient care factors are related to nursing workload in acute hospital nursing care and to develop a conceptual model to describe the relationship between the non-direct patient care factors and nursing workload. BACKGROUND Since the 1930s, efforts to measure nursing workload have been undertaken. Still, it remains unclear which of the non-direct patient care elements are essential to the nursing workload. DATA SOURCES PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature, Engineering Village 2, Elin and the British Nursing Index were searched from 1970 up to July 2009. REVIEW METHODS Studies were included in this integrative review if they described factors that are related to nursing workload or if they presented models that explored the association between potential factors, excluding the factors related to direct patient care. RESULTS Thirty publications were included. The influencing variables were classified in five categories based on their level of impact: the hospital and ward, nursing team, individual nurse, patient and family and meta-characteristics. The variables were also classified, based on their cause-effect relationship. Some factors have a direct impact on the patient-nurse relationship, while others have an effect on the work fluency or on the subjective perception of the nursing workload. A conceptual model was built, based on the interaction between both classifications and derived from the systems theory. CONCLUSIONS Nursing workload has a multi-causal aetiology. The influencing factors from this review can be integrated in a workload measurement tool.

Determination of standard times of nursing activities based on a Nursing Minimum Dataset

AIM This paper is a report of a study conducted to determine the standard time per nursing activity and the proportion of nursing time covered by the nursing activities of the Belgian Nursing Minimum Dataset compared to the total time of a nurse shift, and to evaluate the correlation between hospital size and standard times of nursing activities. BACKGROUND Because of a shrinking workforce and rising workload, nursing managers need tools that help them to allocate their staff to the wards. Such tools should be based on objective time measurements. METHODS The study was performed in surgical, internal medicine and elder care wards in an acute hospital care setting. In the first phase, a two-round Delphi-procedure was used to operationalize the definitions of nursing activities. In the second phase, the standard time for each nursing activity was determined, based on data collected over a 6-month period during 2006-2007. A combination of 13,292 work sampling observations by external observers, 3000 recordings of direct time measurement by self-recording and subjective time assessments yielded times that were used to analyse the duration of the nursing activities. RESULTS A standard time for 102 nursing activities was established. The coverage of the Belgian Nursing Minimum Dataset in the surgical, internal medicine and elder care wards was 47.5%, 46.4% and 51.0% respectively. The Belgian Nursing Minimum Dataset was found to cover almost 70% of direct and indirect nursing care. CONCLUSION Further research is needed to assess the impact on the standard times of nursing activities of inefficient organizational structures and different cultural interpretations of the way an activity is conducted.

Nosocomial pneumonia: aetiology, diagnosis and treatment

Purpose of review This review highlights recent advances in the aetiology of nosocomial pneumonia, and in strategies to increase accuracy of diagnosis and antibiotic prescription while limiting unnecessary antibiotic consumption. Recent findings Bacterial pathogens still cause the bulk of nosocomial pneumonia and are of concern because of ever-rising antimicrobial resistance. Yet, the pathogenic role of fungal and viral organisms is increasingly recognized. Since early appropriate antimicrobial therapy is the cornerstone of an effective treatment, further studies have been conducted to improve appropriateness of early antibiotic therapy. De-escalation strategies combine initial broad-spectrum antibiotics to maximize early antibiotic coverage with a subsequent focusing of the antibiotic spectrum when the cause is identified. Invasive techniques probably do not alter the immediate outcome but have the potential to reduce unnecessary antibiotic exposure. Decisions to stop or change antibiotic therapy are hampered due to a lack of reliable parameters to assess the resolution of pneumonia. Summary Increasing antimicrobial resistance in nosocomial pneumonia both challenges treatment and mandates limitation of selection pressure by reducing antibiotic burden. Treating physicians should be both aggressive in initiating antimicrobials when suspecting nosocomial pneumonia but willing to discontinue antimicrobials when diagnostic results point to an alternative diagnosis. Efforts should be made to limit duration of antibiotic therapy when possible.

An ontology-based nurse call management system (oNCS) with probabilistic priority assessment

BackgroundThe current, place-oriented nurse call systems are very static. A patient can only make calls with a button which is fixed to a wall of a room. Moreover, the system does not take into account various factors specific to a situation. In the future, there will be an evolution to a mobile button for each patient so that they can walk around freely and still make calls. The system would become person-oriented and the available context information should be taken into account to assign the correct nurse to a call.The aim of this research is (1) the design of a software platform that supports the transition to mobile and wireless nurse call buttons in hospitals and residential care and (2) the design of a sophisticated nurse call algorithm. This algorithm dynamically adapts to the situation at hand by taking the profile information of staff members and patients into account. Additionally, the priority of a call probabilistically depends on the risk factors, assigned to a patient.MethodsThe ontology-based Nurse Call System (oNCS) was developed as an extension of a Context-Aware Service Platform. An ontology is used to manage the profile information. Rules implement the novel nurse call algorithm that takes all this information into account. Probabilistic reasoning algorithms are designed to determine the priority of a call based on the risk factors of the patient.ResultsThe oNCS system is evaluated through a prototype implementation and simulations, based on a detailed dataset obtained from Ghent University Hospital. The arrival times of nurses at the location of a call, the workload distribution of calls amongst nurses and the assignment of priorities to calls are compared for the oNCSsystem and the current, place-oriented nurse call system. Additionally, the performance of the system is discussed.ConclusionsThe execution time of the nurse call algorithm is on average 50.333 ms. Moreover, the oNCS system significantly improves the assignment of nurses to calls. Calls generally have a nurse present faster and the workload-distribution amongst the nurses improves.

Validation of standard times and influencing factors during the development of the Workload Indicator for Nursing

BACKGROUND A tool to assist in optimal allocation of available nursing resources is of paramount importance. AIMS The goals of this study were as follows: (1) to determine whether the standard time values of the Belgian Nursing Minimum Dataset are a valid basis for the development of a Workload Indicator for Nursing; (2) to quantify the impact of factors that most influence nursing workload; and (3) to examine the cross-impact of items of the Belgian Nursing Minimum Dataset. DESIGN This research project is a prospective observational study with exploratory aspects. METHODS The data for this prospective study were collected during September 2010 from a convenience sample of 23 nursing units in four hospitals in Belgium. The data collection included three parts: (1) the registration of the items of the Belgian Nursing Minimum Dataset; (2) the amount of time committed to direct patient care; and (3) analysis of variables, which influence the nursing workload at patient and unit level. RESULTS The correlation coefficients for the sum of Direct and Indirect Patient Care and the Workload Indicator for Nursing-score of the surgical, internal medicine and intensive care units were 0·85, 0·88 and 0·89 respectively. Significant differences in standard time utilization for nursing activities at the patient level are directly related to the level of mobility assistance required. Units needing significantly more time for Direct and Indirect Patient Care than predicted by the Workload Indicator for Nursing-score had a higher mean number of complex nursing activities per patient. CONCLUSIONS The high correlation coefficients between the total time utilized for direct patient care and the WiN-score indicate that the standard time values of the Belgian Nursing Minimum Dataset are valid.

Probabilistic Priority Assessment of Nurse Calls

Current nurse call systems are very static. Call buttons are fixed to the wall, and systems do not account for various factors specific to a situation. We have developed a software platform, the ontology-based Nurse Call System (oNCS), which supports the transition to mobile and wireless nurse call buttons and uses an intelligent algorithm to address nurse calls. This algorithm dynamically adapts to the situation at hand by taking the profile information of staff and patients into account by using an ontology. This article describes a probabilistic extension of the oNCS that supports a more sophisticated nurse call algorithm by dynamically assigning priorities to calls based on the risk factors of the patient and the kind of call. The probabilistic oNCS is evaluated through implementation of a prototype and simulations, based on a detailed dataset obtained from 3 nursing departments of Ghent University Hospital. The arrival times of nurses at the location of a call, the workload distribution of calls among nurses, and the assignment of priorities to calls are compared for the oNCS and the current nurse call system. Additionally, the performance of the system and the parameters of the priority assignment algorithm are explored. The execution time of the nurse call algorithm is on average 50.333 ms. Moreover, the probabilistic oNCS significantly improves the assignment of nurses to calls. Calls generally result in a nurse being present more quickly, the workload distribution among the nurses improves, and the priorities and kinds of calls are taken into account.

How much of Toyota's philosophy is embedded in health care at the organisational level? A review

AIMS Identify which of Toyotas principles are reported in health care institutions at the organisational level and to identify the type of reported outcomes related to the effectiveness of lean production reported in these studies. BACKGROUND No scientific research has been conducted to determine which of Toyotas principles are embedded in health care systems. This knowledge is needed to perform targeted adjustments in health care. EVALUATION Sixty studies were identified for the final analysis. KEY ISSUE(S) Some Toyota Way principles appear more deeply embedded in health care institutions than others are. CONCLUSION Not all principles of Toyotas philosophy and production system were embedded in the studies in this review. The type of reported outcomes at the organisational level was diverse. IMPLICATIONS FOR NURSING MANAGEMENT This literature review increases our knowledge about how many (and which) of the Toyota Way principles are embedded in health care. This knowledge may support reflection by nursing managers about how the full range of lean management principles could be embedded at the managerial and/or operational level.