- Open Access
Managing daily intensive care activities: An observational study concerning ad hoc decision making of charge nurses and intensivists
© Lundgrén-Laine et al.; licensee BioMed Central Ltd. 2011
- Received: 13 April 2011
- Accepted: 8 August 2011
- Published: 8 August 2011
Management of daily activities in ICUs is challenging. ICU shift leaders, charge nurses and intensivists have to make several immediate ad hoc decisions to enable the fluent flow of ICU activities. Even though the management of ICU activities is quite well delineated by international consensus guidelines, we know only a little about the content of the real clinical decision making of ICU shift leaders.
We conducted an observational study with the think-aloud technique to describe the ad hoc decision making of ICU shift leaders. The study was performed in two university-affiliated hospital ICUs. Twelve charge nurses and eight intensivists were recruited. Observations were recorded and transcribed for qualitative content analysis using the protocol analysis method. The software program NVivo 7 was used to manage the data. The interrater agreement was assessed with percentages and by Cohen's κ.
We identified 463 ad hoc decisions made by the charge nurses and 444 made by the intensivists. During our data collection time, this breaks down to over 230 immediately made decisions per day (24 hours). We divided the ad hoc decision making of ICU shift leaders into two types: process-focused and situation-focused. Process-focused decision making included more permanent information, such as human resources, know-how and material resources, whereas situation-focused decision making included decisions about single events, such as patient admission. We named eight different categories for ICU ad hoc decision making: (1) adverse events, (2) diagnostics, (3) human resources and know-how, (4) material resources, (5) patient admission, (6) patient discharge, (7) patient information and vital signs and (8) special treatments.
ICU shift leaders make a great number of complex ad hoc decisions throughout the day. Often this decision making involves both intensivists and charge nurses. It forms a bundle that requires versatile, immediate information for a successful outcome. In the future, we need to investigate which information is crucial for ad hoc decision making. These challenges should also be emphasised when information technology programs for ICU care management are developed.
- Decision Making
- Qualitative Content Analysis
- Patient Admission
- Patient Discharge
- Organizational Issue
Many and varied multiprofessional decisions are made when running daily ICU activities. These result in both clinical and managerial orders to support patient care and ICU work flow. Decision making related to immediate care must often be made quickly in response to the changing condition of the patient. This decision making is usually supported by patient information systems that are designed to provide detailed individual, patient-focused information . However, decision making concerning direct patient care is difficult or even impossible to complete if the managerial decisions are made inaccurately and/or with a delay.
Within fast-paced ICU environments, many of these managerial decisions have to be made immediately, ad hoc. By 'ad hoc decision making', we mean critical judgements that are needed for a specific purpose at a precise moment with the goal of ensuring instant and adequate patient care and a fluent flow of activities in the ICU. Shift leaders, intensivists and charge nurses in ICUs are responsible for coordinating, planning and assessing the daily activities of the units and are those who usually make these managerial ad hoc decisions. ICU shift leaders' duties and tasks are a mixture of direct patient care, supervision of care and administrative work. This is why many decisions have to be considered both from the clinical and the managerial points of view.
The decision making of ICU professionals has been the focus of several studies (see, for example, [2–5]). In addition, the need for teamwork, verbal communication and information has been found to be crucial for task coordination and work performance in ICUs [6–8]. However, the focus of previous studies has been mainly on the individual level or on direct patient care.
In recent years, precise guidelines and best practice instructions have been developed to guide the work flow of ICUs and managerial decision making. Despite these efforts, the ad hoc decision making of ICU shift leaders is poorly supported by information systems. It is common for information needed for decision making to be gathered into different information systems and other platforms. In addition, part of the decision making is based solely on the memory and work experience of the ICU shift leader. With a growing information load, it is essential that precise, consistent and timely information be available for accurate and correct decision making exactly when it is needed [9, 10]. However, we do not have a clear picture of what decisions the ICU shift leaders make.
In this study, we focused on the unit-level decisions which are made ad hoc by ICU shift leaders to ensure the fluent flow of activities. The specific purpose of the study was to identify the ad hoc decisions of ICU shift leaders by evaluating their cognitive processes during their daily work.
Context and setting
Characteristics of the participating ICUs
Mean LOSa, days
1 or 2
Assistant physicians, n
Head nurses, n
Staff nurses, n
Registered nurses, n
Practical nurses, n
We performed an observational study using the think-aloud technique in a real clinical setting. The basis of the think-aloud technique is to ask participants to verbalise their performance while performing their tasks and duties. Researchers have found this technique to be an appropriate method for investigating and revealing complex cognitive processes in a real-life context [12, 13]. Our purposeful sample consisted of 12 charge nurses and 8 intensivists equally at both hospitals. We conducted the collection of data during different shifts: 15 morning shifts, 4 evening shifts and 1 night shift. Data collection was also performed on different days of the week, including three weekend shifts. The data collector followed each participant individually from the beginning of the eight-hour work shift. The role of the data collector was to remind participants to talk aloud during the observations. All sessions were recorded using an MP3 player. One researcher (HLL), who was familiar with intensive care, conducted all the sessions.
The data were typed out into a .txt file in an authentic form. Since the recorded data included each participant's speech during his or her shift, irrelevant parts that were not related to the focus of our study's purpose were omitted. Before the analyses, the text files were read several times and situation-related notes were made. These situation-related notes were made to detect which decision was related to which situation at the time of observations (for example, staff ratios to isolation). This supported the final analyses and understanding of the rapidly changing situations and ICU-specific concepts related to the complex thinking of the study participants. Qualitative content analysis was then used to identify each decision made by the participants. Qualitative content analysis is 'a research method for subjective interpretation of the content of text data through a systematic classification process of coding and identifying themes or patterns'  (p. 1278). Each recording was analysed separately with the aim of detecting the decisions of both professional groups.
Our analysis consisted of three phases: free-model coding, tree-model coding and application of the protocol analysis. A computer-assisted qualitative software program, NVivo 7 (QSR International, Doncaster, Victoria, Australia) , was used to support the management of the coding in our analysis. First, the free-model coding was used to identify decisions made by the participants. This meant that all utterances which included decision making were coded. Then we continued to organize the decisions hierarchically into clusters (tree-model coding). Some of the hierarchical single codings were still in several categories during this phase.
Categories, amounts, coding frequencies of ad hoc decisions, number of ad hoc decisions, interrater reliability values and observation times
Categories of ad hoc decisions
Intensivists (n= 8)
Charge nurses (n= 12)
Process-focused, n (%)
1. Human resources and know-how
2. Material resources
Situation-focused, n (%)
3. Patient admissions
4. Patient information and vital signs
5. Special treatments
7. Adverse events
8. Patient discharges
IRRa (%)/Cohen's κ
97.0/0.92 to 1.0
91.0/0.90 to 1.0
Total ad hoc decisions, n
Total observation time, hours
Finally, we applied protocol analysis and analysed the levels of verbalization in sentences. This was done to identify ad hoc decisions, that is immediately made decisions. In the protocol analysis, the verbalization of study subjects was classified into three levels. These levels were used to describe the reproduction of information from the memory of a study subject while he or she was performing a task. First- and second-level verbalizations were considered reliable because these levels are assumed to reveal the content of the short-term working memory . By applying protocol analysis, we were able to code each decision into a different level. First- and second-level decisions were considered ad hoc decisions. Verbalizations of decisions at levels 1 and 2 were clearly and immediately expressed as well as clearly targeted. These decisions needed to be made rapidly, and the decision maker sought either an immediate solution or more information to be able to conclude his or her decision without delay. For the third-level decisions, participants needed additional information and the solutions required for decision making were not immediately essential. The third-level decisions were not ad hoc decisions and included those related to a patient discharge plan, such as, 'We are going to extubate probably tomorrow, and if all goes okay he will be discharged'.
A study on protocol analysis by Ericsson and Simon  and an article by Lundgrén-Laine and Salanterä  discussed the methodological bases of protocol analysis and the levels of the analysis in more detail.
Ethical issues and participants
The study was approved by the hospital districts' authorities. In our study, we followed the Finnish national legislation and ethical principles . No data are personally identifiable. The inclusion criteria for the study subjects were that the participant had to (1) be able to voluntarily, capably and competently talk aloud during work situations and (2) have current ICU shift leadership experience. A written consent form was obtained from each participant, and each received written and oral instructions before the observations.
Four of the intensivists were men and four were women, with their ICU work experience ranging from 4 to 22 years. Three of the twelve charge nurses were men, and nine were women. Their ICU work experience ranged from 5 to 32 years. None of the participants withdrew from our study during the observations.
The recordings varied from two to six hours per informant (mean duration 4 hours, 40 minutes), and the length of the recordings depended on the intensity of the shift. Altogether we recorded 92 hours of data. In our analysis, we identified 444 ad hoc decisions made by the intensivists and 463 ad hoc decisions made by the charge nurses. This breaks down to nearly 10 ad hoc decisions per hour or 240 ad hoc decisions per day made by the ICU shift leaders. If we consider the number of decisions per decision maker, these data break down to almost 56 ad hoc decisions per intensivist and 39 decisions per charge nurse.
The ad hoc decision making of intensivists and charge nurses covered the entire patient care process from admission to discharge. On the basis of our analysis, we identified eight decision-making categories: (1) adverse events, (2) diagnostics, (3) human resources and know-how, (4) material resources, (5) patient admission, (6) patient discharge, (7) patient information and vital signs and (8) special treatments.
The situation-focused ad hoc decision making concerned incidents that occurred at a certain moment. Typically they were single incidents or concerned one patient or individual, such as patient admission, adverse events, diagnostics, patient information and vital signs, special treatments and patient discharge (Figure 1, vertical type).
Most ad hoc decisions belonged to the categories of human resources and know-how (32.1%), patient information and vital signs (27%) and special treatments (19%), representing both process-focused and situation-focused decision making. These categories were followed by diagnostics (9.5%) and patient discharge (6.4%). The fewest ad hoc decisions made were related to patient admission (3.5%), material resources (2.4%) and adverse events (0.1%).
Definitions of ad hoc decision-making categories and examples
Ad hoc category
1. Adverse events
An injury related to medical management
'Concerning this pinprick accident, I have to order a blood test for her immediately'.
Patient diagnosis, including laboratory and radiology results affecting ICU work organization
'Today's X-ray is OK, so she will be ready to leave'.
3. Human resources and know-how
The amount of staff resources, the knowledge of the ICU personnel and follow-up information and reports
(1) 'In that room, there is one very experienced nurse. It is enough. I'll keep it that way'.
(2) ‘Two RNs are needed for this patient in the following shift’.
(3) ‘RN XX will be named in the trauma team in the following shift’.
4. Material resources
Materials needed for ICU patient care
‘This isolation room is reserved for this patient in the next shift’.
5. Patient admission
Acceptance of patients for ICU care
‘The recovery room is booked up, so we have to take this patient immediately’.
6. Patient discharge
Acceptance of patient transfer from ICU care
‘If the bleeding stops, he will be discharged when a new patient is introduced’.
7. Patient information and vital signs
Intensive care-specific patient information and patient's intensive care- specific condition
(1) ‘We will put her to sleep and then deal with the AF’.a
(2) ‘The patient with the highest nursing intensity will need two nurses in the evening shift’.
(3) The patient’s invasive blood pressure values are too low, and he is not ready for discharge’.
8. Special treatments
ICU-specific care and medication administration
(1) ‘We will make the sterna closure tomorrow, so cardiologist consultation today’.
(2) ‘Our unit is ready to admit a patient who needs haemodialysis’.
(3) ‘With this patient, we will start an inotrope infusion and ask for a cardiology consultation’.
Human resources and know-how
Most of the ad hoc decisions made by ICU shift leaders were about human resources and know-how (32.1%). The main objective of this decision making was to manage the number of ICU personnel, to ensure sufficient and appropriate resources or to compensate for the know-how levels needed so that patient care could be ensured in all situations around the clock. Remarkably, all the ad hoc decisions in this category were made by the charge nurses; however, they typically made these decisions in coordination with other ICU colleagues or negotiated in multidisciplinary teams before personally making judgments. In addition, many of the ad hoc decisions identified in this study dealt with a different kind of follow-up data needed for statistics or research. Typical ad hoc decisions under this category are presented in Table 3.
Patient information and vital signs
The second most frequent ad hoc decisions were made concerning patient information and vital signs (27%). This category covered very intensive care, specific patient information and the present condition of a patient fulfilling the criteria for essential ICU care. These ad hoc decisions dealt, for example, with issues related to the mode of isolation, patient care intensity, critical problems regarding vital functions or changes required immediately for the intensive care plan. The ad hoc decision making in this category was also closely connected to other ad hoc decisions, such as those concerning admissions or discharges. For example, high patient care intensity led to the next ad hoc decision: which of the patients would stay and who would be moved to another ward. About 40% of these decisions were made by the intensivists, and these decisions comprised most of the ad hoc decisions they made (Table 2). The ad hoc decisions under this category are presented in Table 3.
Ad hoc decision making related to special treatments (19%) was the third-largest category. Under this category, we named all those ad hoc decisions which dealt with ICU-specific care and administration of medication. ICU-specific care covered the treatments which were possible to perform only under intensive care circumstances, such as hyperbaric oxygen therapy, care of patients with intra-aortic balloon pumps or treatments performed by specialised consultants. Under this category, we also named administration of ICU-specific medication, such as medication that requires intensive monitoring (for example inotropes, vasodilators or sedatives). Examples of these ad hoc decisions are presented in Table 3.
Diagnostics and patient discharge
Part of the ad hoc decision making of ICU shift leaders was related to diagnostics and patient discharge (9.5% and 6.4%, respectively). Only the intensivists made ad hoc decisions about diagnostics, covering one-fifth of all ad hoc decisions they made. An example of an ad hoc decision related to diagnostics is, 'Diagnosis confirmed today induces immediate changes in the patient's care plan'. The ad hoc decisions concerning patient discharge, such as, 'This patient is ready for discharge', were made by both the intensivists and the charge nurses (see also Table 3).
Patient admission, material resources and adverse events
Ad hoc decisions about patient admission, material resources and adverse events constituted only a small portion of decisions made by the shift leaders. Intensivists and charge nurses made decisions about patient admission. Examples of these ad hoc decisions are 'Four beds should be booked for elective patients during the present shift' or 'The patient from the ER should be admitted immediately'. Decisions about material resources and adverse events were all identified from the data sets of the charge nurses. Examples of these are 'A special mattress is needed for the incoming patient' or 'The pinprick accident should be managed immediately according to the treatment protocol' (see also Table 3).
A bundle of ad hoc decisions
To our knowledge, our study is the first to describe the ad hoc decision making of ICU shift leaders, including intensivists and charge nurses, during the management of daily ICU activities. Our study shows that ICU shift leaders make numerous ad hoc decisions when managing the daily activities of their units. Our analysis revealed that almost 10 immediately needed ad hoc decisions per hour are made by the shift leaders, which presents great challenges for immediate information retrieval.
We identified eight ad hoc decision-making categories for ICU shift leaders: (1) adverse events, (2) diagnostics, (3) human resources and know-how, (4) material resources, (5) patient admission, (6) patient discharge, (7) patient information and vital signs and (8) special treatments. These categories covered the whole ICU care process from patient admission to patient discharge. Even if the ad hoc decisions of the shift leaders differed, the goals and the content underlying their decisions were parallel. For example, intensivists made ad hoc decisions about incoming patients and who would be admitted first (patient admission). At the same time, charge nurses, for their part, made ad hoc decisions about the timing and placement of incoming patients (patient admission).
Most of the identified ad hoc decisions of the ICU shift leaders were connected to intensive care-specific patient information and the condition of the patient, human resources and know-how of the personnel and special treatments performed in intensive care settings (nearly 80%). This result confirms the basic role of ICU work, in which the most critically ill patients are taken care of by multiprofessional teams and the most demanding treatments can be performed by an adequate number of team members and specialised staff. In addition, our study results suggest that the ad hoc decision making of ICU shift leaders is complex and overlapping. These findings are supported by previous research on the decision making of ICU personnel [18, 19].
Most ad hoc decision making concerns human resources and know-how. Similar results have been found in previous studies [7, 20] in which the information requirements of the ICU patient care team and multidisciplinary care team in an emergency department have been investigated. Results of previous studies have shown that many clinical questions contain organizational elements which are essential for the coordination of the work.
Both our study and those of Reddy et al. [7, 20] showed that clinical decision making is an important part of ad hoc decision making, and it is often connected with organizational issues. In our study, the clinical ad hoc decisions were mainly made by the intensivists, followed by several ad hoc decisions related to organizational issues made by charge nurses. In Reddy and Spence's study , for example, the patients' conditions were evaluated in relation to the need for beds. Similar aspects were found in our data. An ad hoc decision made by the intensivist regarding special treatment created several ad hoc decisions related to organizational issues such as placement of the patient, the availability and capability of the nurse, the timing of the treatment and ensuring the continuum of care from shift to shift.
In our study the charge nurses made most of the organizational decisions, which mainly concerned human resources and know-how. These organizational elements seem to contribute significantly to the work flow of the ICU. Our results might reflect the organizational culture of the ICUs investigated and how the work was organised and shared by the ICU team. It would be interesting to study this issue further in other ICUs at both the national and international levels.
The amount of different ad hoc decisions gives us information about which ad hoc decisions dominate the ICU shift leaders' work. However, it does not reveal the importance of the ad hoc decisions made. In our analysis, we found that the fewest ad hoc decisions made were related to diagnostics, patient discharge, patient admission, material resources and adverse events. However, all of these include extremely important decisions which affect the outcomes of ICU patient care.
Especially in urgent situations, when, for example, patient admission and discharge decisions have to be made immediately, all decisions should be based on accurate, clearly defined information. In previous studies, delays in patient admissions or after-hours discharges, for example, have been found to be associated with patient mortality [21, 22]. Diagnostics play an important role in patient care in the ICU, and this category is closely connected to both admission and discharge decisions as well as to immediate changes that are required in care plans. Ad hoc decision making related to adverse events is often vital, since poorly thought out decisions can cause serious complications and even patient mortality [23, 24].
ICU care management, coordination and decision-making procedures are strongly supported by the international consensus guidelines [25–27]. These guidelines contain definitions and objectives for the quality of ICU performance. In addition, recommendations for optimal ICU care are provided. However, these guidelines have mainly focused on the material resources needed at certain ICU care levels or in direct patient care, as well as on vital problems of ICU patients. Process-focused decision making has received little attention, and improvements in process performance from the multiprofessional point of view are needed [28, 29].
Our results reveal that studies concerning only one professional group or one decision-making area are not enough when complex and fast-paced environments such as ICUs are investigated. In our study only very few ad hoc decisions were made by one person. Instead they were a chain of decisions made by several persons. The ad hoc decision making of ICU shift leaders is a team process whereby the final outcome is achieved with the collaboration of charge nurses and intensivists, which requires that several ad hoc decisions be made.
Our study has some strengths and some limitations. One limitation of our study is that we conducted it in only two ICUs and in one country. However, within these two 'full-service' ICUs, both of which have large ICU patient populations, we managed to obtain rich and saturated data. Our study ICUs were not randomly selected; rather, their selection was purposeful and based on the facts that both units take care of patients with various medical and surgical problems and both have similar operation models in their care organization. A purposeful sample also offered data of good quality. In addition, we did not evaluate the diurnal variation in decision-making frequency, which would be interesting to assess in the future. We hypothesized that more ICU daily activities are performed during morning shifts and created more stress on those choosing the 15 morning shifts to be observed. However, we suggest that the variation in decision-making frequency is more dependent on clinical situations than on working shifts. Our study does not provide information about the quality of shift leaders' decisions (that is, good and bad decisions). To identify the quality of the ad hoc decisions made, the whole decision-making process should be followed until the end and the final outcomes related to each decision should then be evaluated. Because of the type of data we collected, we cannot generalise our results per se, but other researchers can utilise the results in future research by testing them in other ICU settings.
A challenge in our study was combining the think-aloud technique with protocol analysis, especially the difficulty of compiling research on decision making in real settings. Think-aloud is used quite often in observational studies in health care [4, 30, 31]. However, protocol analysis in combination with think-aloud has rarely been used in acute clinical settings in health care. Alternatively, we could have used pure observation or introspection as a method of investigating the ad hoc decision making of shift leaders. However, with observation, a researcher might miss or misread a significant part of decision making. On the other hand, introspection involves interpretations by the participants themselves, which might affect the results (see, for example, ). In our study, we were interested in evaluating ad hoc decisions that had to be made immediately. It is not likely that the Hawthorne effect would play a significant role in this kind of decision-making situation. In our study, the think-aloud technique combined with protocol analysis functioned well. The participants in our study were capable of verbalizing their thinking. In addition, with protocol analysis, we were able to find and classify the ad hoc decision making.
The observational study design itself is a big challenge when complex phenomena are investigated in ICU settings. Even the shadowing of one participant whose work is to make many different decisions all the time was demanding. In our study, we used only one observer and recorder with one participant during one shift with the aim of covering the whole ICU situation as well as possible. Many details should be considered carefully when more than one decision maker, or shared decision making, is observed simultaneously. These details are, for example, time labels in starting and ending multiple decisions and differentiating ad hoc decisions aimed at the same targets from other decisions made at the same time. Combining handheld computers with work observations as Westbrook and Ampt tested in their study  using our study method could be an entirely novel way to look at this phenomenon in the future.
In the future, the reliability and generalization of our results should be validated by national and international multicentre studies in which the information variables that are crucial for ad hoc decision making in the ICU. The international perspective is supported by the facts that the basic targets of ICU care are internationally quite similar and the decision making of ICU personnel has also been found to be internationally comparable . In addition, the processes of ICUs are internationally quite well defined and guided by international consensus guidelines supporting the managerial decision making of ICU professionals and standardizing the policies of the ICUs. However, different cultures and team functions might have some effect on decision-making processes in different ICUs.
Our study describes the ad hoc decision making of ICU charge nurses and intensivists during the daily management of ICU activities. This study highlights the complex and fundamental phenomenon of ad hoc decision making in a real clinical ICU context. We have shown that ICU shift leaders make a vast number of ad hoc decisions concerning the entire ICU care process. Organizational issues are greatly emphasised. In addition, the ad hoc decision making of ICU shift leaders appears to be a multiprofessional process in which several ad hoc decisions are needed to complete one task. By identifying ICU shift leaders' ad hoc decisions and this multiprofessional process, we will be able to reveal what kind of information is needed in challenging clinical settings. Further research is required to identify what information needs are fundamental for ICU shift leaders in ad hoc decision-making situations. In the future, this will help us to develop electronic decision-making support and management systems for ICUs.
ICU shift leaders make numerous immediate decisions during the management of daily activities.
The ad hoc decision making during the management of daily ICU activities is a multiprofessional process, and the final outcome is usually achieved through multiple immediate decisions, a bundle of ad hoc decisions.
The ad hoc decision making of ICU shift leaders is not a linear process, and it involves various areas of ICU care. The organizational issues are highly emphasised throughout the daily management of ICU activities.
In the future, the ad hoc decision making of ICU shift leaders and access to the most crucial information should be confirmed.
The authors gratefully thank the participating units for their collaboration and the charge nurses and intensivists who attended the study observations. This study was funded by the Finnish Funding Agency for Technology and Innovation, Tekes (grant 40020/07), the Finnish Cultural Foundation and The Hospital District of Southwest Finland special grant-in-aid (EVO). Part of this study was presented at the 21st Annual Congress of the European Society of Intensive Care Medicine (ESICM) in September 2008 in Lisbon, Portugal.
- Ward NS, Snyder JE, Ross S, Haze D, Levy MM: Comparison of a commercially available clinical information system with other methods of measuring critical care outcomes data. J Crit Care 2004, 19: 10-15. 10.1016/j.jcrc.2004.02.003PubMedView ArticleGoogle Scholar
- van Lieshout EJ, de Vos R, Binnekade JM, de Haan R, Schultz MJ, Vroom MB: Decision making in interhospital transport of critically ill patients: national questionnaire survey among critical care physicians. Intensive Care Med 2008, 34: 1269-1273. 10.1007/s00134-008-1023-xPubMedPubMed CentralView ArticleGoogle Scholar
- Fackler JC, Watts C, Grome A, Miller T, Crandall B, Pronovost P: Critical care physician cognitive task analysis: an exploratory study. Crit Care 2009, 13: R33. 10.1186/cc7740PubMedPubMed CentralView ArticleGoogle Scholar
- Aitken LM, Marshall AP, Elliott R, McKinley S: Critical care nurses' decision making: sedation assessment and management in intensive care. J Clin Nurs 2009, 18: 36-45. 10.1111/j.1365-2702.2008.02318.xPubMedView ArticleGoogle Scholar
- Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, Sam J, Haynes RB: Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 2005, 293: 1223-1238. 10.1001/jama.293.10.1223PubMedView ArticleGoogle Scholar
- Reader TW, Flin R, Mearns K, Cuthbertson BH: Developing a team performance framework for the intensive care unit. Crit Care Med 2009, 37: 1787-1793. 10.1097/CCM.0b013e31819f0451PubMedView ArticleGoogle Scholar
- Reddy MC, Spence PR: Collaborative information seeking: a field study of a multidisciplinary patient care team. Inf Process Manag 2008, 44: 242-255. 10.1016/j.ipm.2006.12.003View ArticleGoogle Scholar
- Aslakson RA, Wyskiel R, Shaeffer D, Zyra M, Ahuja N, Nelson JE, Pronovost PJ: Surgical intensive care unit clinician estimates of the adequacy of communication regarding patient prognosis. Crit Care 2010, 14: R218.PubMedPubMed CentralView ArticleGoogle Scholar
- Manor-Shulman O, Beyene J, Frndova H, Parshuram CS: Quantifying the volume of documented clinical information in critical illness. J Crit Care 2008, 23: 245-250. 10.1016/j.jcrc.2007.06.003PubMedView ArticleGoogle Scholar
- Najjar-Pellet J, Jonquet O, Jambou P, Fabry J: Quality assessment in intensive care units: proposal for a scoring system in terms of structure and process. Intensive Care Med 2008, 34: 278-285. 10.1007/s00134-007-0883-9PubMedView ArticleGoogle Scholar
- Centricity™ Critical Care[http://www.gehealthcare.com/euen/iis/products/acute-care/iis_acute_care.html]
- Ericsson KA, Simon HA: Protocol Analysis: Verbal Reports as Data. Revised edition edition. Cambridge, MA: MIT Press; 1993.Google Scholar
- Kushniruk AW: Analysis of complex decision-making processes in health care: cognitive approaches to health informatics. J Biomed Inform 2001, 34: 365-376. 10.1006/jbin.2001.1021PubMedView ArticleGoogle Scholar
- Hsieh H, Shannon S: Three approaches to qualitative content analysis. Qual Health Res 2005, 15: 1277-1288. 10.1177/1049732305276687PubMedView ArticleGoogle Scholar
- Bazeley P: Qualitative Data Analysis with NVivo. 2nd edition. London: Sage Publications; 2007.Google Scholar
- Ludgrén-Laine H, Salanterä S: Think-aloud technique and protocol analysis in clinical decision-making research. Qual Health Res 2010, 20: 565-575. 10.1177/1049732309354278View ArticleGoogle Scholar
- Medical Research Act[http://www.finlex.fi/fi/laki/kaannokset/1999/en19990488.pdf]
- Aitken L: Critical care nurses' use of decision-making strategies. J Clin Nurs 2003, 12: 476-483. 10.1046/j.1365-2702.2003.00763.xPubMedView ArticleGoogle Scholar
- Cooper AB, Joglekar AS, Gibson J, Swota AH, Martin DK: Communication of bed allocation decisions in a critical care unit and accountability for reasonableness. BMC Health Serv Res 2005, 5: 67. 10.1186/1472-6963-5-67PubMedPubMed CentralView ArticleGoogle Scholar
- Reddy MC, Pratt W, Dourish P, Shabot MM: Asking questions: information needs in a surgical intensive care unit. Proc AMIA Symp 2002, 647-651.Google Scholar
- Cardoso LT, Grion CM, Matsuo T, Anami EH, Kauss IA, Seko L, Bonametti AM: Impact of delayed admission to intensive care units on mortality of critically ill patients: a cohort study. Crit Care 2011, 15: R28. 10.1186/cc9975PubMedPubMed CentralView ArticleGoogle Scholar
- Singh M, Nayyar V, Clark P, Kim C: Does after-hours discharge of ICU patients influence outcome? Crit Care Resusc 2010, 12: 156-161.PubMedGoogle Scholar
- Flaatten H, Hevrøy O: Errors in the intensive care unit (ICU): experiences with an anonymous registration. Acta Anaesthesiol Scand 1999, 43: 614. 10.1034/j.1399-6576.1999.430604.xPubMedView ArticleGoogle Scholar
- Flaatten H: Self-reporting of errors and adverse events in the intensive care unit (ICU). In Organisation and Management of Intensive Care. Edited by: Flaatten H, Putensen C, Moreno RP, Rhodes A. Berlin: MWV Medizinisch Wissenschaftliche Verlag; 2010:369-373.Google Scholar
- Ferdinande P: Recommendations on minimal requirements for Intensive Care Departments. Members of the Task Force of the European Society of Intensive Care Medicine. Intensive Care Med 1997, 23: 226-232. 10.1007/s001340050321PubMedView ArticleGoogle Scholar
- Haupt MT, Bekes CE, Brilli RJ, Carl LC, Gray AW, Jastremski MS, Naylor DF, Rudis M, Spevetz A, Wedel SK, Horst M, Task Force of the American College of Critical Care Medicine, Society of Critical Care Medicine: Guidelines on critical care services and personnel: recommendations based on a system of categorization of three levels of care. Crit Care Med 2003, 31: 2677-2683. 10.1097/01.CCM.0000094227.89800.93PubMedView ArticleGoogle Scholar
- Thijs LG: Continuous quality improvement in the ICU: general guidelines. Task Force European Society of Intensive Care Medicine. Intensive Care Med 1997, 23: 125-127. 10.1007/s001340050304PubMedView ArticleGoogle Scholar
- Garland A: Improving the ICU: part 1. Chest 2005, 127: 2151-2164. 10.1378/chest.127.6.2151PubMedView ArticleGoogle Scholar
- Rothen HU, Stricker K, Einfalt J, Bauer P, Metnitz PG, Moreno RP, Takala J: Variability in outcome and resource use in intensive care units. Intensive Care Med 2007, 33: 1329-1336. 10.1007/s00134-007-0690-3PubMedView ArticleGoogle Scholar
- Qiu Y, Yu P: Nursing information systems: applying usability testing to assess the training needs for nursing students. Methods Inf Med 2007, 46: 416-419.PubMedGoogle Scholar
- Johnson C, Zeiger R, Das AK, Goldstein M: Task analysis of writing hospital admission orders: evidence of a problem-based approach. AMIA Annu Symp Proc. 2006, 389-393.Google Scholar
- McCarney R, Warner J, Iliffe S, van Haselen R, Griffin M, Fisher P: The Hawthorne Effect: a randomised, controlled trial. BMC Med Res Methodol 2007, 7: 30. 10.1186/1471-2288-7-30PubMedPubMed CentralView ArticleGoogle Scholar
- Westbrook JI, Ampt A: Design, application and testing of the work observation method by activity timing (WOMBAT) to measure clinicians' patterns of work and communication. Int J Med Inform 2009, 78S: S25-S33.View ArticleGoogle Scholar
- Lauri S, Salanterä S: Developing an instrument to measure and describe clinical decision making in different nursing fields. J Prof Nurs 2002, 18: 93-100. 10.1053/jpnu.2002.32344PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.