| Literature DB >> 33057435 |
Carsten Hermes1, Peter Nydahl2, Manfred Blobner3, Rolf Dubb4, Silke Filipovic5, Arnold Kaltwasser4, Bernhard Ulm3, Stefan J Schaller3,6,7,8.
Abstract
BACKGROUND: Mobilization of intensive care patients is a multi-professional task. Aim of this study was to explore how different professions working at Intensive Care Units (ICU) estimate the mobility capacity using the ICU Mobility Score in 10 different scenarios.Entities:
Mesh:
Year: 2020 PMID: 33057435 PMCID: PMC7561080 DOI: 10.1371/journal.pone.0239853
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Case scenarios characteristics.
| Variable / Scenario | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| Awake & stable | Comatose & MV with ETT | Awake & MV with ETT | Delirium & MV with TC | Awake & NIV | CRRT & MV with ETT | Delirium & MV with ETT | Pulmonary unstable & MV with TC | Vasopressors & MV with TC | Awake & SAB | |
| + | comatose | + | Hypoactive Delirium | + | + | Hyperactive Delirium | (+) | Hypoactive Delirium | SAB. ø ICP | |
| spontaneous | ETT | ETT | TC | NIV | ETT | ETT | TC | TC | spontaneous | |
| + | - | + | + | + | + | + | + | + | + | |
| 0.36 | 0.4 | 0.5 | 0.5 | 0.6 | 0.45 | 0.5 | 0.8 | 0.5 | 0.21 | |
| + | - | + | + | + | + | + | + | - | + | |
| + | + | + | + | + | CRRT | + | + | + | + | |
| 5 | 10 | 4 | 8 | 20 | 16 | 4 | 9 | 6 | 5 |
a Scenario 1 is a reference example, representing full mobility. Grey cells represent the scenario’s main characteristic.
b FiO2 values of the scenarios are presented.
c + = condition is given, e.g. patient has full consciousness, full strength, is stable, has all routine lines (central venous line, arterial catheter, stomach tube, bladder tube); (+) = reduced condition, e.g. reduced strength;— = unstable condition, e.g. pulmonary stability requiring 80% oxygen, reduced hemodynamic stability, requiring norepinephrine or dobutamine.
Abbreviations: CRRT Continuous Renal Replacement Therapy, ETT Endotracheal Tube, FiO2 Fraction of Oxygen, ICU Intensive Care Unit, SAB Subarachnoid Bleeding, TC Tracheal Cannula.
Participants’ data.
| Items | Number (%) |
|---|---|
| Nurses | 370 (72) |
| Physical therapists | 83 (16) |
| Physicians | 48 (9) |
| Other specialists | 14 (3) |
| Germany | 395 (77) |
| Austria | 38 (7) |
| Switzerland | 78 (15) |
| Other | 4 (1) |
| < 35 | 196 (38) |
| 35–48 | 202 (39) |
| 49–67 | 117 (23) |
| In education/study | 1 (0) |
| < 1 | 17 (3) |
| 1–4 | 99 (19) |
| 5–10 | 135 (26) |
| > 10 | 131 (25) |
| > 20 | 132 (26) |
| Self-perceived expert status | 242 (47) |
| Answered definition of early mobilization correctly | 176 (35) |
| Experts, who answered definition of early mobilization correctly | 89 (37) |
| Analgesia | 432 (63) |
| Sedation | 344 (67) |
| Delirium | 267 (52) |
| Weaning | 345 (67) |
| Early mobilization | 162 (32) |
| Daily inter-professional goals | 193 (38) |
| Automatic order for mobilization | 110 (21) |
| Estimated percentage of existing protocols’ implementation. from 0 = no implementation to 100 = full implementation (median [IQR)] | 68 [48–80] |
a Respiratory therapists, speech and swallow therapists, occupational therapists
b Luxembourg (n = 2), and missing (n = 2)
Self-perceived expert status per profession.
| Profession | Nurses (n = 367) | Physical therapists | Physicians (n = 47) | Other specialists | p-value |
|---|---|---|---|---|---|
| Self-perceived expert status | 155 (42) | 63 (76) | 17 (36) | 7 (50) | <0.001 |
| Answered definition of early mobilization correctly | 131 (36) | 26 (31) | 15 (32) | 6 (43) | 0.75 |
| Experts, who answered definition of early mobilization correctly | 61 (39) | 17 (27) | 7 (41) | 4 (57) | 0.57 |
a Physical Therapists perceived themselves as experts significantly more often, compared to nurses and physicians (both p<0.001), but not other specialists (p = 0.057).
b Respiratory therapists, speech and swallow therapists, occupational therapists.
Fig 1Mobility capacity of ten clinical scenarios scored by different professions.
Mobility capacity scored by different professions using the ICU Mobility scale. * p ≤ 0.05. ** p ≤ 0.01. *** p ≤ 0.001. **** p ≤ 0.0001.
Linear mixed model over all scenarios.
| Factor | Value | 95% CI | p-value |
|---|---|---|---|
| Profession compared to Physical therapists | |||
| Physician | -0.7 | (-1.1 to -0.3) | 0.001 |
| Nurses | -0.4 | (-0.7 to -0.2) | 0.002 |
| Other specialists | 0.1 | (-0.5 to 0.6) | 0.808 |
| Knowledge of S2e guideline definition | 0.3 | (0.1 to 0.5) | 0.002 |
| Expert | 0.2 | (0.0 to 0.4) | 0.049 |
Linear mixed model with all scenario describing factors (consciousness, breathing, strength, respiratory stability, hemodynamic stability, lines as described in Table 1) being significant (p < 0.001). Other factors, such as age, work experience or geographical area of the participants, as well as existing of protocols at the ICU were not significant in the model.
Top three barriers to mobilization, according to the profession.
| Rank of barriers within a profession | Physicians (n = 48) | Nurses (n = 370) | Physical therapists (n = 83) | Others specialists | Total (n = 515) |
|---|---|---|---|---|---|
| TOP 1 | Hemodynamic / pulmonary instability 30 (63%) | Hemodynamic / pulmonary instability 252 (68%) | Hemodynamic / pulmonary instability 62 (75%) | Deep sedation 8 (57%) | Hemodynamic / pulmonary instability 350 (68%) |
| TOP 2 | Deep sedation 20 (42%) | Lack of nurses 226 (61%) | Deep sedation 53 (64%) | Hemodynamic / pulmonary instability 6 (43%) | Lack of nurses 271 (53%) |
| TOP 3 | Lack of nurses 19 (40%) | Deep sedation 147 (40%) | Lack of nurses 20 (24%) | Lack of nurses 6 (43%) | Deep sedation 228 (44%) |
a Participants were asked to select the three most important barriers
b Includes respiratory therapists, speech and swallow therapists, occupational therapists