Knowledge of intensive care nurses in selected care areas commonly guided by protocols.
According to Toth,  basic knowledge for ICU nurses is knowledge beyond that required to register as a nurse; it is this knowledge that nurses use to provide safe care to critically ill patients. Knowledge itself does not ensure safe practice but safe practice is not possible without knowledge.  Since accountability forms the basis of professional nursing practice, it is up to each individual nurse to ensure that they have adequate knowledge in order to determine which aspects of a protocol are most suitable for the patient in any given situation. [5,6] It is stated that safe practice is both a moral and professional responsibility of the nurse. Knowledge is therefore an important first step in providing safe patient care. Assessing the knowledge of ICU nurses allows for the introduction of suitable education programmes regarding protocols in ICUs. This may improve both patient safety and the individualised care of patients receiving protocol-directed care. This study assessed the knowledge of ICU-trained and non-ICU-trained nurses regarding pain management, glycaemic control and weaning from mechanical ventilation. These three care areas have been chosen as they are commonly directed by protocols.
The objectives were to:
* describe the knowledge of nurses working in ICUs in respect of pain management, glycaemic control and weaning from mechanical ventilation
* compare the difference in knowledge between ICU-trained and non-ICU-trained nurses in respect of pain management, glycaemic control and weaning from mechanical ventilation.
An analytical, cross-sectional, survey design was used. This survey was conducted in three academic and two private sector hospitals in Johannesburg. A total of 13 ICUs were purposively selected for inclusion in the study. These ICUs were chosen to include nurses from both the public and private sectors to ensure as representative a sample as possible. All registered nurses working in the ICUs of these hospitals were invited to participate.
Permission to conduct the study was obtained from the University's Postgraduate Committee and the Human Research Ethics Committee. Permission was also granted by the respective hospitals and the ICU nursing managers. Participation in the study was voluntary, and anonymity and confidentiality were assured. Signed informed consent was obtained from all participating nurses.
All registered nurses working in the selected ICUs and who were willing to participate and who had >4 months' experience in an ICU were included in the study. In consultation with the biostatistician it was calculated that a minimum sample size of 120 nurses (N=120), i.e. 60 in each group (i.e. ICU trained and non-ICU trained), should be included in the study. Consecutive sampling was used and the sample size was achieved according to the response rate.
Data were collected using a self-administered, multiple-choice questionnaire developed and validated following the method advocated by Lynn,  using a two-stage process, namely the developmental and the quantification stages. The nursing experts used during this process were chosen for either their clinical or educational expertise in ICU. These experts were also asked to rate each item in the questionnaire as basic, applied or advanced according to the level of knowledge being tested. The definitions of level of knowledge were based on the three levels of competence (foundational, practical and reflective) as described by Morolong and Chabeli. 
After the validation process, the questions were arranged into a questionnaire consisting of three sections, namely pain management, glycaemic control and weaning from mechanical ventilation. Each section was introduced by a short case study followed by 11 multiple-choice questions, three of which were extended to assess the rationale/physiology behind the question. Demographic data, including age, nursing qualifications, employment sector and years of ICU experience, were obtained from all participants.
A pilot study was conducted with 10 nurses, 5 ICU-trained and 5 non-ICU-trained nurses from one of the academic hospitals included in the study. Following the pilot study, two of the questions were rephrased as they appeared too broad to elicit the expected answers. The results of the pilot study were not included in the final analysis. A competency score of 70% was set by expert ICU nurses as indicating an acceptable level of knowledge for nurses working in ICUs. It is generally accepted that the pass rate for a clinical assessment is 60% and for practical procedures 80%. The competency indicator of 70% used in this study was therefore between the two levels. No distinction was made between the scores expected from the ICU-trained as opposed to the non-ICU-trained nurses as all nurses should be able to effectively manage the care of patients for whom they are responsible.
Data were collected between February and March 2006. Nurses were asked to complete the questionnaire during on-duty time. The researchers remained in the units while the questionnaire was being completed to prevent data contamination. No emergencies occurred during the data collection periods, thereby allowing the nurses to complete the questionnaire while providing routine care to their patients. They placed the completed questionnaires in an envelope, which they sealed. Consent forms were placed in a separate envelope which was then sealed before being removed from each unit, thereby ensuring anonymity. The data were entered into a spread sheet designed with multiple data integrity checks.
Numbers and percentages were used to describe the demographics of the participants. As the data were normally distributed, means and standard deviations (SDs) were used to describe the level of knowledge. Comparison between the level of knowledge between ICU-trained and non-ICU-trained nurses was made using the Student's two-sample f-test. To ensure that years of experience did not influence the results, the groups were also compared with regard to mean assessment using an analysis of covariance (ANCOVA) with years of experience as a covariate. The impact of years of experience on the participants' level of knowledge was further assessed using Pearson's product moment correlation. Where appropriate, 95% confidence intervals (CIs) were reported. A significance level of 0.05 was used. Statistical analysis was performed using STATA 11 (2009) for Windows with the assistance of a biostatistician. Prior to analysis, 10% of the data were randomly checked for accuracy against the original surveys.
Of the 142 questionnaires distributed, 136 were completed and returned (a 96% response rate).
Fifty per cent (n=68) of the nurses held an ICU qualification. Of the participants, 77.94% (n=106) were between the ages of 31 and 50 years with 14.71% (n=20) younger than 30 years and 7.35% (n=10) older than 50 years. The split between public and private sector nurses was 63.97% (n=87) and 36.03% (n=49) respectively. The mean ICU experience was 6.32 years for the total group, 8.45 years for the ICU-trained nurses and 4.14 years for the non-ICU-trained nurses. The demographic characteristics of participants are shown in Table 1. This resulted in a statistically significant difference in the average years of experience between the two groups (p=0.000)
Knowledge scores per section
The mean score (SD) of all the participants for pain management was 43.97% (15.45; 95% CI 41.35 - 46.59). The ICU-trained nurses achieved a mean score of 45.07% and the non-ICU-trained nurses 42.86%. The mean difference was 2.2%, which was not statistically significant (p=0.4075).
For knowledge of glycaemic control, the mean score (SD) of all the participants was 48.71% (13.30; 95% CI 46.45 - 50.97). The ICU-trained and the non-ICU-trained participants achieved mean scores of 51.26% and 46.16% respectively. The mean difference was 5.1%, which was statistically significant (p=0.0249).
The mean (SD) knowledge score of all the participants for weaning from mechanical ventilation was 50.00% (17.16; 95% CI 47.09 - 52.91). The mean score of the ICU-trained nurses was 53.99% and that of the non-ICU-trained nurses was 46.01%. The mean difference was 7.98%, which was statistically significant (p=0.0063).
Overall the mean score (SD) of all the participants was 47.56% (11.61, (95% CI 45.59-49.52). ICU-trained nurses achieved a mean score of 50.11% (11.96, 95% CI 47.21-53.00) and non-ICU-trained nurses 45.01% (10.75, 95% CI 42.40-47.61). The mean difference between the two groups was 5.1%. This difference was statistically significant (p=0.0099). These results are shown in Table 2.
Knowledge scores per level of knowledge
Knowledge items in the questionnaire were categorised as basic, applied and advanced. Nurses' mean score (SD) for the 13 basic knowledge questions was 55.14% (16.90, 95% CI 52.27-58.00). ICU-trained nurses achieved a mean score of 58.58% (15.82, 95% CI 54.75-62.41) whereas the non-ICU-trained nurses achieved a mean score of 51.69% (17.35, 95% CI 47.49-55.89). The difference in basic knowledge was 6.89%, which was statistically significant (p=0.0169).
The mean scores for the 17 applied knowledge questions were similar to the basic knowledge questions and were the same for both groups. The mean score for the sample (N=136) was 56.66% (13.22; 95% CI 54.42-58.90). The mean score of ICU-trained nurses was 56.66% (13.93, 95% CI 53.29-60.03) and that of the non-ICU-trained nurses was also 56.66% (12.57, 95% CI 53.61-59.70). Statistically there was no difference between the two groups (p=0.9990).
Nurses' mean score (SD) for the 12 advanced knowledge questions was 26.44% (15.92, 95% CI 23.74-29.14). ICU-trained nurses achieved a mean score of 31.61% (16.83, 95% CI 27.54-35.69) and the non-ICU-trained participants 21.26% (13.16, 97% CI 18.08 24.45). The mean difference between the two groups was 10.35%, resulting in a statistically significant difference (p=0.0001) (Table 3).
Knowledge correlated with years of experience
When the extent to which knowledge of nurses was influenced by years of ICU experience was tested, a correlation coefficient of 0.137 was found; this indicates a weak positive relationship between nurses'knowledge and their experience in ICU, which was not statistically significant (p=0.1142).
The results support several other studies that have shown knowledge deficits in different aspects of nursing care. The average knowledge score for ICU nurses was 47.56%, with only four participants achieving a mark at or above 70%. This lack of knowledge may make it difficult for the nurses to comply with, or make informed decisions when implementing protocol-directed care, particularly if steps in different protocols are incongruent with one another.
Scores of 55.14% and 56.66%, respectively, were achieved for the items addressing basic and applied knowledge which, although low, may indicate that the participants in this study are to some extent able to rationalise their actions and decisions. Advanced knowledge levels were very low with an average score of 26.44%, indicating that the clinical rationale behind many actions and decisions may be lacking.
Several studies have shown knowledge deficits among nurses regarding routine ICU practices. In a local study by Windsor,  on the interpretation of ventilator graphics by ICU nurses, a mean score of 40.3% was obtained. Two studies, which included 22 European countries, found that ICU nurses lacked knowledge of guidelines for the prevention of ventilator-associated pneumonia  and the prevention of central venous catheter-related infections. 
Knowledge of pain management was poor (43.97%). Although pain is associated with many complications, it is possible that in a busy, stressful ICU environment it may be given lower priority than other aspects of care. This finding is consistent with other studies assessing nurses' knowledge of pain management. [12,13] Nurses' poor knowledge scores for glycaemic control (48.71%) were unexpected because since publication of the Van den Berghe et al. study,  glycaemic control has become part of everyday discussion and practice in ICUs. Furthermore, knowledge of normal blood glucose values, insulin administration and the signs and symptoms of hypoglycaemia are not specific to ICUs but are required in all fields of nursing.
Although nurses scored highest on weaning patients from mechanical ventilation, the mean score of 50% is below what is expected from ICU nurses. The slightly higher score may be explained by the fact that the most common reason for admission of an adult patient to an ICU is the need for mechanical ventilation  and that approximately 41% of time required for ventilation is spent on the weaning process.  ICU nurses therefore may have had more exposure to this aspect of care than other care areas addressed in this study.
There was a distinct knowledge deficit with regard to the advanced knowledge items, which required substantiation or explanation of a response to the preceding question. This indicates that many actions by ICU nurses in respect of pain management, glycaemic control and weaning from mechanical ventilation are being carried out without knowledge of the physiological rationale behind the action.
Apart from knowledge levels, factors such as years of experience and level of qualification have been found to influence nurses' decision-making in ICUs.  The difference of 5.1% between the ICU-qualified nurses, who have completed specialist education in ICU nursing and non-ICU-qualified nurses in this study was small but statistically significant (p=0.0099). The knowledge studies by Labeau et al. [10,11] also found a small, but not statistically different difference between the scores of nurses holding an ICU qualification and those without. Both groups' low scores and the small difference between their scores is of concern as ICU-qualified nurses are expected to have an advanced knowledge base in order to make sound clinical judgements within the ICU environment, and should function at a higher level than those nurses without the specialty qualification. 
In this study, years of ICU experience did not influence knowledge levels; only a weak correlation (r=0.137) was found between knowledge levels and years of experience. This finding is in keeping with another local study where the most highly qualified ICU nurses (those with a Master's degree) achieved the lowest scores.  Toth  however found when comparing basic knowledge in ICUs between nurses from the USA and other countries that ICU nurses with more years of experience consistently achieved higher scores on knowledge tests.
Ensuring that critically ill patients receive safe, high-quality care in a complex ICU environment is an ongoing challenge. This study reported on the knowledge of ICU nurses and may therefore not reflect the actual practice environment; however, it can be inferred to some extent that the results reflect practice.  There is an assumption that knowledge improves decision-making and therefore patient outcomes, but whether knowledge translates to better bedside care is not known.  Toth  states that, 'although basic knowledge does not guarantee safe practice, safe practice in critical care nursing cannot occur without basic knowledge'. Giuliano and Liu  confirm this by stating that it is not possible to provide appropriate care to patients without adequate knowledge of the specific area of care.
The limitations of this study include the relatively small sample size and the limited geographical area in which it was conducted, this being constrained by the time and resources available. Consecutive sampling does not allow generalisation of our results to all nurses working in ICU. Not having an 'I do not know' option may have encouraged participants to guess when they were not sure of the answers. This study only evaluated knowledge regarding specific care areas commonly directed by protocols and not actual practice or adherence to protocols.
Educational programmes need to be introduced into ICUs to improve knowledge regarding pain management, glycaemic control and weaning from mechanical ventilation. As the staffturnover in many ICUs is high, the programmes need to be repeated regularly. In order to ensure that patients in ICUs receive care from knowledgeable, competent nursing staff a continuing professional development system should become compulsory for nurses. Further research could address the impact of protocols on both nurses'knowledge and on patient outcome.
This study identified gaps in ICU nurses' knowledge regarding three care areas commonly guided by protocols. The participants had knowledge levels below the required competency score of 70%. This applies to all levels of knowledge: basic, applied and advanced, and to all three areas of protocol-directed care. Years of experience are poorly correlated to ICU nurses' knowledge and cannot be relied upon as a source of knowledge for decision-making about protocol-directed care. Providing evidence-based care has become important in ICU nursing, along with nurses increasingly having to take responsibility for their actions. Without appropriate knowledge, complications are more likely to occur, even when delivering protocol-directed care.
Acknowledgements. We like to acknowledge the contribution of the nurses, without whom this study would not have been possible.
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H. Perrie, (1) CCRN, MSc (Nursing); S. Schmollgruber, (1) CCRN, MSc (Nursing), PhD(c); J.C. Bruce, (1) RN, MSc (Nursing), PhD; P.J. Becker, (1,2) MSc, PhD
(1) Department of Nursing Education, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
(2) Biostatistics Unit, Medical Research Council, Pretoria, South Africa
Corresponding author: S Schmollgruber (email@example.com)
Table 1. Demographics of ICU nurses (N=136) Total sample of ICU-trained Non-ICU-trained ICU nurses nurses nurses Characteristics (N=136) (n=68) (n=68) Age, years, n (%) 20-30 20 (14.71) 7 (10.29) 13 (19.12) 31-40 60 (44.12) 24 (35.29) 36 (52.94) 41-50 46 (33.82) 31 (45.59) 15 (22.06) 51-60 10 (7.35) 6 (8.82) 4 (5.88) Employment sector, n (%) Public 87 (63.97) 45 (66.18) 42 (61.76) Private 49 (36.03) 23 (33.82) 26 (38.42) ICU experience, years Range 0.3-25 1-25 0.3-25 Mean 6.32 8.45 4.14 SD 5.21 5.19 4.23 ICU = intensive care unit; SD = standard deviation. Table 2. Results of ICU nurses' knowledge per care area Mean score (%) SD 95% CI (%) Pain management ICU-trained 45.07 16.01 41.19-48.94 Non-ICU-trained 42.86 14.91 39.26-46.47 Glycaemic control ICU-trained 51.26 11.74 48.42-54.10 Non-ICU-trained 46.16 14.34 42.69-49.63 Weaning from mechanical ventilation ICU-trained 53.99 18.19 49.59-58.40 Non-ICU-trained 46.01 15.18 42.34-49.68 Composite score for protocol directed care areas ICU-trained 50.11 11.96 47.21-53.00 Non-ICU-trained 45.01 10.75 42.40-47.61 Difference between groups (%) p-value Pain management ICU-trained Non-ICU-trained 2.20 0.4075 Glycaemic control ICU-trained Non-ICU-trained 5.10 0.0249 Weaning from mechanical ventilation ICU-trained Non-ICU-trained 7.98 0.0063 Composite score for protocol directed care areas ICU-trained Non-ICU-trained 5.10 0.0099 ICU = intensive care unit; SD = standard deviation; CI = confidence interval. Table 3. Results for level of knowledge of ICU nurses Mean Difference score between (%) SD 95% CI groups (%) p-value Basic level ICU-trained 58.58 15.82 54.75-62.41 Non-ICU- 51.69 17.35 47.49-55.89 6.89 0.0169 trained Applied level ICU-trained 56.66 13.93 53.29-60.03 Non-ICU- 56.66 12.57 53.61-59.70 0.00 0.9990 trained Advanced level ICU-trained 31.61 16.83 27.54-35.69 Non-ICU- 21.26 13.16 18.08-24.45 10.35 0.0001 trained ICU = intensive care unit; SD = standard deviation; CI = confidence interval.
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|Author:||Perrie, H.; Schmollgruber, S.; Bruce, J.C.; Becker, P.J.|
|Publication:||Southern African Journal of Critical Care|
|Date:||Aug 1, 2014|
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