How Effective are Intensive Care Unit Beds Used in Our Region?
As patients' ages and comorbidities increase worldwide, the rate of intensive care unit (ICU) use is also increasing (1). Studies published in the USA have noted that the population is ageing, and that the demand for critical care services will increase in the future (2); therefore, ICU admission criteria should be restricted and redefined (3). Lowering the rate of unnecessary admissions to the ICU has been demonstrated to reduce expenses (4). Similar to the rest of the world, Turkey is also facing higher demand for critical care due to both a growing population and an increased life expectancy. The UK has 3 ICU beds per 100,000 people, whereas the USA has 20 ICU beds per 100,000 people (5). In Turkey, this ratio is 10 ICU beds per 100,000, which is rather high compared to England. However, there is still difficulty finding available beds in ICUs, suggesting that the ICUs are not used efficiently in our country Many studies have investigated the effective use of ICU beds (3, 6). In one of these studies, the authors contend that implementing initiatives to accelerate patient turnover would be more effective than increasing the number of ICU beds (6). The results of a web-based survey (22 questions) completed by 121 medical ICU directors indicated that the seniority of the doctor admitting patients to the ICU changed depending on the time of admission. This resulted in an inability to strictly adhere to the patient admission protocols defined in the guidelines for intensive care admission published by the Society of Critical Care Medicine and the American Thoracic Society, and thus one-third of the admissions were inappropriate (3).
ICUs are labelled as open, closed or semi-closed, depending on how they are managed. In an open ICU, all doctors admit and treat their own patients, and the criteria for admission and discharge are defined by the admitting doctor. In a closed ICU, decisions regarding admission, discharge and treatment are made by intensivists. In semi-closed units, a coordinator is responsible for managing admission and discharge for different ICUs. Some studies have indicated that closed ICUs have a lower proportion of inappropriate admissions (6, 7).
The present study encompassed all of the adult ICUs in a zone of the province of Ankara, the capital of Turkey. The primary aim of the present study was to determine the prevalence and causes of inappropriate ICU admissions. Our secondary aim was to determine whether open or closed ICU management was associated with the rate of inappropriate admissions.
This cross-sectional study was approved by the Kecioren Training and Research Hospital Ethics Committee (Date: 08.04.2015; No:794). A team of experts paid one unannounced visit to the level 1, 2 and 3 adult ICUs of 12 hospitals operating under the Turkish Republic Ministry of Health, Ankara Zone 2 Secretary General of the Public Hospitals Administration of Turkey between June 2014 and January 2015 (8). Writen informed constent was obtained from the The Turkish Rebublic Ministry of Health to use audit data before the approval of the ethics committee. Six of the centres were training and research hospitals (TRHs) and six were state hospitals (SHs). During the visit, a prepared data collection sheet was used to note each patient's age, gender, comorbidities, reason for ICU admission, setting from which they were transferred to the ICU (emergency department, outpatient clinic, inpatient unit, surgery, other hospitals and other), ICU priority (priority system from 1 to 4 was used, with priority 1: patient who will benefit the most from ICU and priority 4: patient who will not benefit from the admission to the ICU in any way) (Table 1) (9), ventilator requirement, the unit or level ICU necessary based on their condition at admission and at the time of visit, whether they are a palliative care patient and whether the ICU is open or closed.
Statistical analyses and calculations were performed using IBM Statistical Package for the Social Sciences Statistics 21.0 (released 2012, IBM SPSS Statistics for Windows, version 21.0; IBM Corp., Armonk, NY, USA) and MS Excel 2007 software. The ltm (Latent Trait Models under IRT) module was used to calculate polychoric correlation coefficient in R software. All categorical variables included in the study were expressed in numbers (n) and percentages (%). Shapiro Wilk test was used to assess the normal distribution of age data. Since the patients' ages did not show normal distribution, median (min and max) was used as descriptive statistics. Pearson's chi-square or Fisher's exact test was used to compare categorical variables. One-sample proportion test was used to determine whether the ratio of concurrence for the expected and actual ICU levels according to the patients' condition at admission and the time of visit differed by >0.50. The correlation between admission priority and ICU level was assessed using polychoric correlation coefficient. Kendall's [tau]b test was used to determine whether the distribution among ICU levels varied based on admission priority. A p value <0.05 was accepted as statistically significant.
A total of 290 patients in the ICUs of all the hospitals in the region at the time of the study visits were included in the study. Of these ICU patients, 68% were in TRHs, and 32% were in SHs. The mean age of the ICU patients was 65.6[+ or -]18.1 years. There were 52.8% (n=153) male and 47.2% (n=137) female patients. The distribution of the patients in the different types and levels of ICU is shown in Table 2. Of the 21 ICUs, 16 (4 SHs and 12 TRHs) were closed, and 5 (4 SHs and 1 TRH) were open. Forty-seven (16.2%) patients were staying in open ICUs. Thirty-two (11.1%) patients were in level 1 ICUs, 117 (40.3%) patients were in level 2 ICUs, and 141 (48.6%) patients were in level 3 ICUs.
The patients' demographic characteristics and locations prior to ICU admission are shown in Table 3. Gender distribution was similar in the different ICU levels ([chi square]=0.030, p=0.985 and [chi square]=0.565, p=0.754). In all three levels of ICU, most patients had been admitted from the emergency department (83.9% in level 1, 48.2% in level 2 and 38.2% in level 3 ICUs). Distributions of the primary admission diagnoses and comorbidities of the patients are listed in Table 4. The most common admission diagnosis was respiratory distress (32%), and the most frequent comorbidity was respiratory system disease (32.53%). Approximately half (52.2%) of the patients admitted to the ICUs were classified as priority 1. On the day of evaluation, 1.7% of the patients occupying the ICUs could have been discharged and 16.2% should have been transferred to inpatient units (Table 5). Only 165 (57.1%) patients were in the appropriate unit based on their condition at the initial admission (z=2.412, p=0.016) (Table 6). Overall, 128 (44.1%) patients were in the appropriate unit based on their condition on the day of the visit (z=1.997, p=0.046) (Table 7).
At the time of evaluation, 35.5% of the patients were under palliative care, 68% of whom should have continued with home care.
There was a statistically significant difference between the patients' admission priorities and the level of the ICU to which they were admitted (p<0.001). Of the patients who were in priority 1, 69.5% were staying in level 3 ICUs (Table 8). Twenty-eight (93.3%) priority 3 and 4 patients were staying in level 2 and 3 ICUs (p<0.001). The rate of inappropriate admission was 10.4% among priority 3 and 4 patients. Mechanical ventilatory support was being provided to 31.7% of the patients. The distribution of the admission priorities of patients in each type of unit is presented in Table 9. Priority 3 and 4 patients accounted for 27.7% of the patients in open ICUs and 7% of the patients in closed ICUs (z=3.983, p<0.001).
The distribution of units that the patients in each type of ICU should have been admitted to according to their condition at the time of visit is listed in Table 10. Based on their condition on the day of the visit, 34% (n=16) of the patients in the open ICUs and 17.3% (n=42) in the closed ICUs were suitable for home care, transfer to an inpatient unit or discharge (z=2.430, p=0.015).
In our study, at the time of our visit, some ICU occupants were determined to be palliative care patients and open ICUs had a higher proportion of patients without a valid ICU indication than closed ICUs.
The average ICU occupancy rate was 86.65%. The highest occupancy rate was 98.8%. ICU occupancy rates were reported to be 98% for a hospital in Ireland and 78% for a hospital in Scotland (10). Another study indicated that the USA had an ICU occupancy rate of 68% (11). The former of those studies reported that nearly two-thirds of the patients were admitted outside working hours, suggesting they were emergency cases. Another study performed in the USA discusses an inpatient care model designed to reduce the need for ICU, as well as perioperative changes including fast-track anaesthesia and a post-anaesthetic care unit (12). Ranhoff et al. (13) emphasised that changes, such as increased use of non-invasive ventilation in inpatient units rather than in ICUs and the development of units, such as subintensive care, intermediate and stepdown units, reduce the demand for ICUs.
Various studies have investigated whether inappropriate ICU occupancy could be attributed to delayed discharge or to ICU physicians lacking the authority to deny inappropriate cases due to the ICU model of patient admission. The authors of one such study contended that closed ICUs are ideal, offering more efficient use of resources, lower rates of mortality and shorter hospital stays than open ICUs (14). Some authors have reported that one of the main strategies for reducing delayed patient discharge is to coordinate a discharge plan in consultation with social services and in coordination with nursing care management shortly after the patients are admitted to the ICU. Private in-home care services of nursing homes are emphasised to be used for this purpose (4, 15, 16). Failure to coordinate between ICUs and inpatient units or insufficient hospital beds have also been implicated in the needless extension of ICU stays among patients ready for discharge, which can lead to low bed turnover even in semi-closed ICUs (17). Johnson et al. (18) investigated delayed transfer to the ICU and determined that the most common reason is insufficient surgical beds. In our study, the proportion of patients who were not in the appropriate unit was 42.9% at the first admission and increased to 55.9% on the day of our visit. The most common reason for unnecessary ICU admission or admission to an inappropriate level ICU was determined to be the lack of a lower level ICU in the hospital. Open ICUs had a 16.7% higher proportion of inappropriate admissions (patients suitable for care at home or in an inpatient unit and those ready for discharge). Open ICUs also received more priority 3 and 4 patients from admission and more patients from inpatient units than closed ICUs. The increase in the proportion of inappropriate ICU occupancy between first admission and our evaluation may be evidence of flaws in discharge planning. This increase may also be due to the fact that not every hospital in our region has a level 1 ICU. Considering that higher level ICUs are progressively more expensive, centres without a level 1 ICU should plan on opening such units. Furthermore, we believe that transferring palliative patients to palliative care centres would enable more efficient use of ICU beds in our country.
Kollef et al. (19) emphasised that owing to health care expenditures, patients with reversible medical conditions expected to show substantial recovery should be admitted to the ICUs. Another study indicated that the number of ICU beds per capita was not strongly correlated with health care expenditures, but strongly correlated with mortality (20). In addition, in another study, admission to the ICU was found to be correlated to low hospital mortality (21). Metcalfe et al. (22) reported that patients whose ICU admission is rejected have 46% higher 90-day mortality than those admitted to the ICU. However, scarcity of beds may result in delayed admission to the ICU. A study comparing the USA and UK with respect to ICU admissions showed that ICU admission took substantially longer after hospital admission in England and that more patients were admitted from the inpatient units rather than the emergency department (5). In a similar study, patients who were transferred to the ICU after staying in the emergency department >6 h had higher risk of death and longer hospital stays (23). In our study, most ICU admissions were found to be from the emergency department. However, owing to unreliable records, our analysis did not include data on the interval between emergency and ICU admissions.
In the USA, between 10% and 30% of the patients in the ICU were reported to receive ventilatory support and that most patients were admitted solely for monitoring (24). The proportion of patients receiving ventilatory support was comparable in our study. The fact that only 11.1% of the patients in our study were in level 1 ICUs suggests that fewer patients were admitted only for monitoring.
Sirio et al. (25) determined that strict adherence to the admission priority criteria is an important quality of the best performing ICUs. In our study, patients evaluated as priority 3 and 4 constituted 10.4% of the patients admitted to all level ICUs and 93.3% were admitted to level 2 and 3 ICUs. It may be difficult to determine which populations are in too good or too poor condition to benefit from the ICU (26). For example, patients with drug intoxication are commonly admitted. However, Brett et al. (26) have shown that critical care interventions are not necessary unless clinical high-risk factors are identified. Nevertheless, they reported that 70% of these low-risk patients are admitted to the ICU for observation (27). In another study, the majority of the patients admitted to the ICU were those with respiratory failure, trauma and neurosurgery, whereas intoxication accounted for a mere 0.6% of ICU admissions (28). In a Turkish study, the most common indications for ICU admission were hemodynamic instability, respiratory failure, changes of mental status and monitoring; these indications were mostly accompanied by chronic obstructive pulmonary disease, diabetes mellitus (DM), hypertension (HT) and coronary artery disease (6). The most common indications for ICU admission in the present study were respiratory failure, neurological and cardiac problems and postoperative monitoring. Intoxication accounted for 1% of indications for ICU admission. The most common coexisting diseases in addition to the ICU admission diagnoses were DM and HT.
The patients in our study showed comparable age and gender distribution between closed and open units. The significant negative correlation between admission priority and ICU level indicates that patient admissions to closed ICUs are managed more effectively A study evaluating the shift from open to closed ICU management, in which admissions are conducted by critical care specialists, showed that patients with higher APACHE II scores were admitted to the surgical ICU; yet, mortality rates were lower in patients from closed ICU than in those from open ICU (7). Some researchers claim that closed ICUs allow for more effective use of resources and help reduce the mortality rates and shorten stays in the ICU (14, 29). However, since our study was conducted on the basis of spontaneous visits, we did not evaluate the mortality rates or length of ICU stays. Furthermore, the fact that admission priority 3 and 4 patients accounted for only 7% of the patients in closed ICUs shows that indications for ICU admission are more accurate in closed ICUs. Although we believe that the closed ICU management style is superior with respect to the accuracy of indications for ICU admission, further studies are still needed on this topic.
The rate of inappropriate ICU admission in our study was 55.9%, and the most common reason for this was the lack of a lower level ICU. Palliative patients comprised 35.5% of the patients in the ICUs and 68% of these patients should have been in home care. The rate of inappropriate admissions was found to be 16.7% higher in open ICUs than in closed ICUs. If our study is considered representative of Turkey overall, it is clear that merely increasing the number of beds in level 2 and 3 ICUs will not be sufficient to meet the growing demand for critical care. Instead, the priority should be to increase the number of level 1 ICU beds or create alternative facilities, such as post-anaesthetic care units in these hospitals. In addition, we believe that the existing beds could be utilised more effectively if the closed management style was implemented universally and there was better coordination between ICUs.
Ethics Committee Approval: Ethics committee approval was received for this study from the ethics committee of Ke?i[delta]ren Training and Research Hospital Ethics Committee (Date: 08.04.2015; No:794).
Informed Consent: Due to the retrospective design of the study, informed consent was not taken.
Peer-review: Externally peer-reviewed.
Author Contributions: Concept--E.M.S., U.M.P.; Design--S.U., E.M.S.; Supervision--S.i., S.U.; Resources--U.M.P., E.M.S.; Materials--U.M.P., E.M.S.; Data Collection and/or Processing--E.M.S., S.I., S.U., F.U., M.O.C.; Analysis and/or Interpretation - E.M.S., S.U.; Literature Search--E.M.S.; Writing Manuscript-E.M.S.; Critical Review--U.M.P., S.i.; Other--I.M.P., F.U.
Conflict of Interest: The authors have no conflicts of interest to declare.
Financial Disclosure: The authors declared that this study has received no financial support.
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Esma Meltem Simsek (1) [iD], Seval Izdes (2) [iD], Umit Murat Parpucu (3), Fatma Ulus (4) [iD], Mustafa Ozgur Cirik (5) [iD]. Suheyla Unver (6) [iD]
(1) Ankara Province Heath Directorate Presidency of Public Hospitals, Ankara, Turkey
(2) Ankara Ataturk Training and Research Hospital, Ankara, Turkey
(3) Ankara Province Heath Directorate Presidency of Pharmaceutical and Medical Device Services, Ankara,
(4) Ankara Kecioren Training and Research Hospital, Ankara, Turkey
(5) Ankara Ataturk Thoracic and Thoracic Surgery Training and Research Hospital, Ankara, Turkey
(6) Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital, Ankara, Turkey
Corresponding Author: Esma Meltem Simsek E-mail: email@example.com
Received: 03.10.2018 Accepted: 06.12.2018 Available Online Date: 15.08.2019
Cite this article as: Simsek EM, Izdes S, Parpucu UM, Ulus F, Cirik MO, Unver S. How Effective are Intensive Care Unit Beds Used in Our Region? Turk J Anaesthesiol Reanim 2019: 47(6): 485-91.
Table 1. Priority admission criteria Priority 1 Unstable critical patients in need of intensive monitoring and treatment (Patients in this group have no treatment limitations) Priority 2 Patients in need of intensive monitoring and possible emergency intervention (Patients in this group have no treatment limitations) Priority 3 Unstable patients who are expected to undergo less improvement due to nature of underlying or acute disease (Patient in this group have treatment limitations) Priority 4 Patients who will not benefit from intensive care treatment. Admission of these patients to ICU depends on the personal desicion of head of the ICU ICU: intensive care unit Table 2. Distribution of patients by ICU type and level Intensive care unit n (%) Type Open 47 (16.2) Closed 243 (83.8) Level 1 32 (11.1) 2 117 (40.3) 3 141 (48.6) ICU: intensive care uni Table 3. Demographic characteristics and distribution of patients in level 1, 2 and 3 ICUs by the referring unit/centre Level I n (%) II n (%) Gender (n=290) Male 17 (53.1) 61 (52.1) Female 15 (46.9) 56 (47.9) Age Median (min, max) 73.0 (33.0, 89.0) 70.0 (16.0, 93.0) Mean[+ or -]SD 70.0[+ or -]11.1 64.7[+ or -]19.5 Referring unit (n=281) Inpatient unit 0 (0.0) 23 (20.2) Emergency department 26 (83.9) 55 (48.2) Surgery unit 1 (3.2) 15 (13.2) External centre 0 (0.0) 4 (3.5) Outpatient clinic 4 (12.9) 17 (14.9) Level III n (%) [chi square] (p) Gender (n=290) Male 75 (53.2) 0.030 0.985 Female 66 (46.8) Age Median (min, max) 69.0 (19.0, 97.0) 0.565 0.754 Mean[+ or -]SD 65.3[+ or -]18.2 Referring unit (n=281) Inpatient unit 36 (26.5) (**) Emergency department 52 (38.2) Surgery unit 11 (8.1) External centre 33 (24.3) Outpatient clinic 4 (2.9) * Column percentage, (**) Statistical test result cannot be given due to insufficient patient number. Min: minimum; max: maximum; SD: standard deviation; ICU: intensive care unit Table 4. Patients' admission diagnoses and coexisting diseases Indication for n (%) Coexisting diseases n (%) admission Respiratory 94 (32.41) Neurological disease 94 (28.31) distress Neurologic 44 (15.17) Respiratory tract 108 (32.553) diseases Postoperative 40 (13.79) Kidney disease 19 (55.72) Cardiac 36 (12.41) Cardiac disorders 455 (13.99) Pregnancy-related 10 (3.45) Hypertension 22 (6.63) conditions Monitorisation 23 (7.93) Diabetes mellitus 11 (3.31) Deterioration of 17 (5.86) Sepsis 9 (2.71) general condition Sepsis 7 (2.41) Cancer 16 (4.82) Trauma 4 (1.38) Post-CPR 8 (2.41) Intoxication 3 (1.03) Acute kidney failure 55 (1.72) Other 7 (2.41) Table 5. Distribution of patients according to several variables regarding the expected and actual level of care n (%) n (%) Admission priority Appropriate unit based on the current condition on the day of evaluation 1 151 (52.2) 1 85 (29.3) 2 108 (37.4) 2 69 (23.8) 3 11 (3.8) 3 78 (26.9) 4 19 (6.6) Home care 5 (1.7) Appropriate unit based Inpatient unit 47 (16.2) on general condition at the time of th initial admission Level 1 ICU 99 (34.3) Discharge 6 (2.1) Level 2 ICU 79 (27.4) Palliative care patient? (n=287) Level 3 ICU 96 (33.2) Yes 102 (35.5) Home care 1 (0.3) No 185 (64.5) Inpatient unit 14 (4.8) Plan for palliative care patients (n=101) Reason for not being Home care 69 (68.3) admitted to the appropriate unit at the initial admission Lack of lower level ICU 45 (70.3) Continue care in ICU 32(31.7) Inpatient unit did not 9 (14.1) accept patient Other 10 (15.6) ICU: intensive care unit Table 6. Comparison of the unit at the time of visit with the appropriate unit based on admission status among patients in level 1, 2 and 3 ICUs Appropriate unit Level based on the condition at the initial admission 1 n (%) 2 n (%) 3 n (%) Total n (%) Consistent with 32 (100.0) 45 (38.5) 88 (62.9) 165 (57.1) level of ICU Not consistent 0 (0.0) 72 (61.5) 52 (37.1) 124(42.9) with level of ICU Total 32 (100.0) 117 (100.0) 140 (100.0) 289 (100.0) [chi square]=26.587, p<0.001. ICU: intensive care unit Table 7. Comparison between actual unit and appropriate unit based on the condition at the time of visit among patients in level 1, 2 and 3 ICUs Appropriate unit Level based on the condition on the day of study evaluation 1 n (%) 2 n (%) 3 n (%) Total n (%) Consistent with 23 (71.9) 35 (29.9) 70 (49.6) 128 (44.1) level of ICU Not consistent 9 (28.1) 82 (70.1) 71 (50.4) 162 (55.9) with level of ICU Total 32 (100.0) 117 (100.0) 140 (100.0) 290 (100.0) [chi square]=21.319, p<0.001.ICU: intensive care unit Table 8. Distribution of patients in level 1, 2 and 3 ICUs according to admission priority Admission priority Level 1 n (%) 2 n (%) 3 n (%) Total n (%) 1 1 (0.7) 45 (29.8) 105 (69.5) 151 (100.0) 2 29 (26.9) 51 (47.2) 28 (25.9) 108 (100.0) 3 or 4 2 (6.7) 21(70.0) 7 (23.3) 30 (100.0) Total 32 (11.1) 117 (40.5) 140 (48.4) 289 (100.0) Kendall's [[tau].sub.b]=-0.415, p<0.001 Table 9. Distribution of patients in open and closed ICUs according to admission priority Admission Unit type priority Open n (%) Closed n (%) Total n (%) 1 10 (21.3) 141 (58.3) 151 (52.2) 2 24 (51.0) 84 (34.7) 108 (37.4) 3 or 4 13 (27.7) 17 (7.0) 30 (10.4) Total 47 (100.0) 242 (100.0) 242 (100.0) [chi square]=29.265, p<0.001. ICU: intensive care unit Table 10. Distribution of the appropriate unit based on the condition at the time of evaluation among patients in open and closed ICUs Appropriate unit based on the current condition on the day of study Unit type evaluation Open n (%) Closed n (%) Total n (%) Level 1 22 (46.8) 63 (28.1) 85 (29.3) Level 2 9 (19.1) 60 (24.7) 69 (23.8) Level 3 0 (0.0) 78 (32.1) 78 (26.9) Home care 1 (2.1) 4 (1.6) 5 (1.7) Inpatient units 15 (31.9) 32 (13.2) 47 (16.2) Discharge 0 (0.0) 6 (2.5) 6 (2.1) Total 47 (100.0) 243 (100.0) 290 (100.0) z=2.430, p=0.015. ICU: intensive care unit
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|Title Annotation:||Original Article|
|Author:||Simsek, Esma Meltem; Izdes, Seval; Parpucu, Umit Murat; Ulus, Fatma; Cirik, Mustafa Ozgur; Unver, Su|
|Publication:||Turkish Journal of Anaesthesiology and Reanimation|
|Date:||Dec 1, 2019|
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