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      Nursing Workload as a Risk Factor for Healthcare Associated Infections in ICU: A Prospective Study

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          Abstract

          Introduction

          Nurse understaffing is frequently hypothesized as a potential risk factor for healthcare-associated infections (HAI). This study aimed to evaluate the role of nursing workload in the occurrence of HAI, using Nursing Activities Score (NAS).

          Methods

          This prospective cohort study enrolled all patients admitted to 3 Medical ICUs and one step-down unit during 3 months (2009). Patients were followed-up until HAI, discharge or death. Information was obtained from direct daily observation of medical and nursing rounds, chart review and monitoring of laboratory system. Nursing workload was determined using NAS. Non-compliance to the nurses’ patient care plans (NPC) was identified. Demographic data, clinical severity, invasive procedures, hospital interventions, and the occurrence of other adverse events were also recorded. Patients who developed HAI were compared with those who did not.

          Results

          195 patients were included and 43 (22%) developed HAI: 16 pneumonia, 12 urinary-tract, 8 bloodstream, 2 surgical site, 2 other respiratory infections and 3 other. Average NAS and average proportion of non compliance with NPC were significantly higher in HAI patients. They were also more likely to suffer other adverse events. Only excessive nursing workload (OR: 11.41; p: 0.019) and severity of patient’s clinical condition (OR: 1.13; p: 0.015) remained as risk factors to HAI.

          Conclusions

          Excessive nursing workload was the main risk factor for HAI, when evaluated together with other invasive devices except mechanical ventilation. To our knowledge, this study is the first to evaluate prospectively the nursing workload as a potential risk factor for HAI, using NAS.

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          Most cited references12

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          Human error: models and management.

          J. Reason (2000)
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            Nursing activities score.

            The instruments used for measuring nursing workload in the intensive care unit (e.g., Therapeutic Intervention Scoring System-28) are based on therapeutic interventions related to severity of illness. Many nursing activities are not necessarily related to severity of illness, and cost-effectiveness studies require the accurate evaluation of nursing activities. The aim of the study was to determine the nursing activities that best describe workload in the intensive care unit and to attribute weights to these activities so that the score describes average time consumption instead of severity of illness. To define by consensus a list of nursing activities, to determine the average time consumption of these activities by use of a 1-wk observational cross-sectional study, and to compare these results with those of the Therapeutic Intervention Scoring System-28. A total of 99 intensive care units in 15 countries. Consecutive admissions to the intensive care units. Daily recording of nursing activities at a patient level and random multimoment recording of these activities. A total of five new items and 14 subitems describing nursing activities in the intensive care unit (e.g., monitoring, care of relatives, administrative tasks) were added to the list of therapeutic interventions in Therapeutic Intervention Scoring System-28. Data from 2,041 patients (6,451 nursing days and 127,951 multimoment recordings) were analyzed. The new activities accounted for 60% of the average nursing time; the new scoring system (Nursing Activities Score) explained 81% of the nursing time (vs. 43% in Therapeutic Intervention Scoring System-28). The weights in the Therapeutic Intervention Scoring System-28 are not derived from the use of nursing time. Our study suggests that the Nursing Activities Score measures the consumption of nursing time in the intensive care unit. These results should be validated in independent databases.
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              Comparison of three methods for estimating rates of adverse events and rates of preventable adverse events in acute care hospitals.

              To compare the effectiveness, reliability, and acceptability of estimating rates of adverse events and rates of preventable adverse events using three methods: cross sectional (data gathered in one day), prospective (data gathered during hospital stay), and retrospective (review of medical records). Independent assessment of three methods applied to one sample. 37 wards in seven hospitals (three public, four private) in southwestern France. 778 patients: medical (n = 278), surgical (n = 263), and obstetric (n = 237). The main outcome measures were the proportion of cases (patients with at least one adverse event) identified by each method compared with a reference list of cases confirmed by ward staff and the proportion of preventable cases (patients with at least one preventable adverse event). Secondary outcome measures were inter-rater reliability of screening and identification, perceived workload, and face validity of results. The prospective and retrospective methods identified similar numbers of medical and surgical cases (70% and 66% of the total, respectively) but the prospective method identified more preventable cases (64% and 40%, respectively), had good reliability for identification (kappa = 0.83), represented an acceptable workload, and had higher face validity. The cross sectional method showed a large number of false positives and identified none of the most serious adverse events. None of the methods was appropriate for obstetrics. The prospective method of data collection may be more appropriate for epidemiological studies that aim to convince clinical teams that their errors contribute significantly to adverse events, to study organisational and human factors, and to assess the impact of risk reduction programmes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                27 December 2012
                : 7
                : 12
                : e52342
                Affiliations
                [1 ]Humanization Technical Division, Hospital das Clínicas of the University of São Paulo; Faculty of Medicine, Universidade Nove de Julho, São Paulo, Brazil
                [2 ]Department of Infectious Diseases and LIM-54, Faculty of Medicine, University of São Paulo, São Paulo, São Paulo, Brazil
                [3 ]Department of Infection Control, Faculty of Medicine, Hospital das Clínicas of University of São Paulo, São Paulo, São Paulo, Brazil
                [4 ]School of Nursing, University of São Paulo, São Paulo, São Paulo, Brazil
                [5 ]Faculty of Medicine, University of São Paulo, São Paulo, São Paulo, Brazil
                [6 ]Nursing Division, Faculty of Medicine, Hospital das Clínicas of University of São Paulo, São Paulo, São Paulo, Brazil
                University of Louisville, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RMDG KGP WBF EVB. Performed the experiments: TNV FSCR ENI TG. Analyzed the data: ASL SFC RMDG. Wrote the paper: ASL RMDG SFC.

                Article
                PONE-D-12-24867
                10.1371/journal.pone.0052342
                3531467
                23300645
                3cbaddc7-20f2-41e7-9066-9419e435d397
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 August 2012
                : 12 November 2012
                Page count
                Pages: 6
                Funding
                This study was funded by the Foundation for Research of the State of São Paulo (FAPESP- Fundação de Amparo à Pesquisa do Estado de São Paulo)- grant number 2008/00955-2. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Population Biology
                Epidemiology
                Infectious Disease Epidemiology
                Medicine
                Clinical Research Design
                Cohort Studies
                Epidemiology
                Infectious Disease Epidemiology
                Infectious Diseases
                Bacterial Diseases
                Nosocomial Infections
                Infectious Disease Control
                Non-Clinical Medicine
                Health Services Research
                Nursing Science
                Nursing Administration

                Uncategorized
                Uncategorized

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