| Literature DB >> 36224550 |
Maria Frödin1,2, Bengt Nellgård3, Cecilia Rogmark4,5, Brigid M Gillespie6,7, Ewa Wikström8, Annette Erichsen Andersson9,3.
Abstract
BACKGROUND: Urinary retention is common in elderly patients undergoing acute hip fracture surgery. Avoiding overfilling the urinary bladder is important to avoid detrusor muscle damage and associated motility problems. The aim of this study was to analyse associations between the co-creation of a nurse-driven urinary catheterisation protocol and the incidence of bladder distension in patients undergoing hip fracture surgery.Entities:
Keywords: Bladder distension; Hip fracture; Nurse-driven urinary catheterisation protocol; Urinary retention
Year: 2022 PMID: 36224550 PMCID: PMC9559039 DOI: 10.1186/s12912-022-01057-z
Source DB: PubMed Journal: BMC Nurs ISSN: 1472-6955
Fig. 1Time frame and intervention components
Description of the content in the learning labs and the development of the urinary catheterisation protocol
– Lecture on infection prevention, fluid balance and pre-optimisation in elderly patients. – Expert nurses and researcher review the literature. –Refresh assessment and communication tools: SBAR [ – Encourage thinking together i.e. ask a peer or physician for support in the decision process if needed, as a sign of growth, not a weakness. – Dialogue relating to: i. Evidence-based catheter indications and removal plan and alternative to IDC such as suprapubic catheter. ii. Patient cases. iii. The risk of self-termination of invasive devices, which can occur in patients with cognitive dysfunction or acute confusion. iv. The use of straight in-out catheterisation or alternative to indwelling urinary catheter. v. Appropriate documentation to prevent the loss of information. vi. Patient involvement i.e. to see them as competent individuals and experts on their body and function [ | |
– Co-creating the nurse-driven urinary catheterisation protocol. – Introduce the national schedule for measuring residual urine via a portable bladder scanner, adapted to fit the study site bladder volume threshold of ≥400 ml, starting on admission [ – If in need of straight in-out catheterisation before transport to the pre-operative area, or a pre-operative urine volume of ≥200 ml before start of anaesthesia and anticipated > 3 hours to end of surgery, insert an indwelling catheter and remove within 24–48 hours. – If no catheter, perform bladder scan immediately at the end of surgery, after wound closure and continuous post-operatively according to the schedule. – Use a catheter with a thermistor to facilitate peri-operative measurement of patients’ temperature. – Document indication, removal plan and perform a daily evaluation for catheter placed > 48 hours. – Developed pocket-sized stickers with indication, removal plan and scanning schedule. | |
Residual urine: 100–150 ml – control after three hours 150–300 ml – control after two hours 300–400 ml – control after one hour ≥400 ml – perform straight in-out catheterisation or indwelling catheter depending on patient assessment, patient involvement and the further care plan |
Abbreviations: SBAR Situation, Background, Assessment, Recommendation, ABCDE + F A = airway, B = breathing, C = circulation, D = disability, E = exposure, F = further care, CRM Crew resource management, IDC Indwelling urinary catheter
aEarly warning score: (MEWS): Modified Early Warning Score and (NEWS 2): National Early Warning Score. RETTS (Rapid Emergency Triage and Treatment System)
Fig. 2Flowchart of included and excluded patients from June 2015–March 2020
Patient and clinical characteristic, N = 3078
| Variables | Year 1, | Year 2, | Year 3, | Year 4, | Year 5, | |
|---|---|---|---|---|---|---|
| Patients’ characteristics | ||||||
| Age, years | 83.8 (8.0), 85 (79; 90) | 84.8 (7.7), 86 (80; 91) | 83.9 (8.3), 85 (78; 90) | 83.9 (8.3), 85 (78; 90) | 83.6 (8.2), 84 (77; 90) | 0.091 |
| Gender, female | 294 (72.4) | 446 (68.1) | 493 (70.4) | 501 (72.5) | 443 (70.8) | 0.63 |
| ASA | ||||||
| I | 15 (3.7) | 14 (2.1) | 11 (1.6) | 29 (4.2) | 16 (2.6) | |
| II | 165 (40.6) | 264 (40.3) | 257 (36.7) | 286 (41.4) | 258 (41.2) | |
| III | 196 (48.3) | 333 (50.8) | 390 (55.7) | 343 (49.6) | 312 (49.8) | |
| IV | 30 (7.4) | 44 (6.7) | 42 (6.0) | 33 (4.8) | 40 (6.4) | 0.34 |
| Diabetes mellitus | 57 (14.0) | 105 (16.0) | 102 (14.6) | 108 (15.6) | 104 (16.6) | 0.38 |
| Hospital length of stay, days | 14.7 (7.2) 14 (10; 17) | 13.4 (7.7) 13 (8; 17) | 12.2 (6.4) 11 (8; 15) | 10.6 (5.2) 10 (7; 13) | 9.75 (4.4) 9 (7; 12) | < 0.0001 |
For categorical variables, n (%) is presented
For continuous variables, the mean (SD)/median (Q1; Q3)/n = is presented
For comparisons between ordered groups, the Mantel-Haenszel chi-square test was used for ordered categorical and dichotomous variables. The Jonckheere-Terpstra test was used for continuous variables
Catheterisation characteristics and documentation from year 1 to year 5
| Variables | Year 1, | Year 2, | Year 3, | Year 4, | Year 5, | |
|---|---|---|---|---|---|---|
| 165 (40.6) | 211 (32.2) | 154 (22.0) | 84 (12.2) | 57 (9.1) | <.00001 | |
| Urine volume ≥ 500 ml | 217 (71.1) | 289 (65.1) | 278 (49.5) | 182 (28.1) | 152 (28.4) | < 0.0001 |
| Largest volume observed during hospital stay | 606 (188) 600 (500; 700) | 589 (190) 500 (450; 700) | 536 (192) 500 (400; 600) | 457.6 (159.7) 400 (350; 500) | 459.2 (156.1) 400 (400; 500) | < 0.0001 |
| Indwelling urinary catheter | 114 (28.1) | 229 (35.0) | 396 (56.6) | 523 (75.7) | 493 (78.8) | < 0.0001 |
| Straight in-out catheterisation | 150 (36.9) | 156 (23.8) | 76 (10.9) | 27 (3.9) | 17 (2.7) | < 0.0001 |
| Indwelling and straight in-out catheterisation | 142 (35.0) | 270 (41.2) | 228 (32.6) | 141 (20.4) | 116 (18.5) | < 0.0001 |
| IDC days | 4.16 (3.95) 3 (2; 5) | 4.39 (4.47) 3 (2; 5) | 4.92 (5.16) 3 (2; 6) | 3.90 (3.10) 3 (2; 5) | 3.58 (3.26) 3 (2; 4) | 0.11 |
| IDC re-insertion | 32 (12.5) | 78 (15.6) | 110 (17.6) | 76 (11.4) | 74 (12.2) | 0.083 |
IDC present on discharge Missing | 23 (9.0) | 56 (11.2) | 85 (13.6) 1 | 60 (9.0) | 49 (8.1) | 0.095 |
| Straight in-out catheterisationa | 3.11 (3.17) 2 (1; 4) | 2.79 (2.58) 2 (1; 4) | 2.07 (1.58) 1 (1; 3) | 1.68 (1.04) 1 (1; 2) | 1.92 (1.43) 1 (1; 2) | < 0.0001 |
| Urine volume when inserting an in-dwelling catheter | 17 (6.6) | 4 (0.8) | 335 (53.7) | 535 (80.6) | 452 (74.2) | < 0.0001 |
| Documented indication | 117 (45.7) | 201 (40.3) | 387 (62.0) | 528 (79.5) | 472 (77.5) | < 0.0001 |
| Documented removal plan | 17 (6.6) | 38 (7.6) | 147 (23.6) | 378 (56.9) | 225 (36.9) | < 0.0001 |
For categorical variables, n (%) is presented
For continuous variables, the mean (SD)/median (Q1; Q3)/n = is presented
For comparisons between groups, the Mantel-Haenszel chi-square test was used for ordered categorical variables
The Jonckheere-Terpstra test was used for continuous variables
aBoth straight in-out and indwelling + straight in-out catheterisation treatment groups
Uni- and multivariable regression for the event of bladder distension
| Univariable | Multivariable | |||||||
|---|---|---|---|---|---|---|---|---|
| 0 | 165 (40.6) | |||||||
| 211 (32.2) | ||||||||
| 154 (22.0) | ||||||||
| 84 (12.2) | ||||||||
| 57 (9.1) | 0.60 (0.56–0.64) | < 0.0001 | 0.68 (0.66–0.70) | 0.61 (0.57–0.66) | < 0.0001 | |||
| 0 | 447 (20.5) | |||||||
| 224 (24.9) | 1.28 (1.07–1.54) | 0.0082 | 0.53 (0.51–0.55) | 1.28 (1.05–1.56) | 0.013 | |||
| 0 | 208 (21.1) | |||||||
| 233 (21.1) | ||||||||
| 230 (23.3) | 1.06 (0.95–1.18) | 0.27 | 0.52 (0.49–0.54) | 1.08 (0.96–1.21) | 0.21 | |||
| 0 | 158 (16.5) | |||||||
| 228 (19.8) | ||||||||
| 285 (29.5) | 1.36 (1.24–1.48) | < 0.0001 | 0.59 (0.57–0.62) | 1.16 (1.05–1.27) | 0.0019 | |||
| 0 | 110 (23.1) | |||||||
| 561 (21.6) | 0.91 (0.72–1.15) | 0.45 | 0.51 (0.49–0.52) | 0.89 (0.70–1.14) | 0.36 | |||
| 0 | 13 (15.3) | |||||||
| 268 (21.8) | ||||||||
| 353 (22.4) | ||||||||
| 37 (19.6) | 1.03 (0.90–1.18) | 0.64 | 0.50 (0.48–0.53) | 0.96 (0.83–1.10) | 0.55 | |||
P-values, OR and area under ROC curve were based on original values and not on stratified groups
OR the ratio of the odds of an increase in the predictor of one unit
+OR is the ratio of the odd of an increase in the predictor of ten units and ++of seven units
aAll tests were performed with univariable logistic regression
bMultivariable logistic regression model including: years, gender, age, hospital length of stay, diabetes mellitus and ASA-classification score. Area under ROC curve with 95% CI for multivariable model = 0.69 (0.67–0.71)