| Literature DB >> 35428670 |
Karen Kemp1, Julie Duncan2, Isobel Mason3, Lisa Younge4, Lesley Dibley5.
Abstract
OBJECTIVE: Inflammatory bowel disease clinical nurse specialists (IBD-CNSs) face increasing pressures due to rising clinical and patient demands, advanced complexity of work role, and minimal specialist management training and support. Stress and burn-out could undermine the stability of this workforce, disrupting clinical provision. We reviewed the literature on stress and burn-out to demonstrate the lack of evidence pertinent to IBD-CNSs and make the case for further research.Entities:
Keywords: crohn's colitis; crohn's disease; inflammatory bowel disease; ulcerative colitis
Mesh:
Year: 2022 PMID: 35428670 PMCID: PMC9013983 DOI: 10.1136/bmjgast-2021-000852
Source DB: PubMed Journal: BMJ Open Gastroenterol ISSN: 2054-4774
The six stage scoping review methodology of Levac et al11
| Framework stage | Purpose |
| Stage 1 | Identifying the research question |
| Stage 2 | Identifying relevant studies |
| Stage 3 | Study selection |
| Stage 4 | Charting the data |
| Stage 5 | Collating, summarising and reporting the results |
| Stage 6 | Consultation with stakeholders |
Figure 1PRISMA Flow diagram detailing study selection.16 CNSs, clinical nurse specialists; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
Variables of interest extracted from each included study, with rationale
| Variable | Rationale, simplifications or assumptions |
| Authors, year, country | To demonstrate that selected articles are current and relevant; to illustrate the geographical spread of the literature |
| Research question/purpose | To demonstrate relationship between the research question of the selected articles, and the aims of the current scoping review |
| Methodology and methods | To evidence the type of research included in the review, and the core methods used to select participants, collect data and conduct analysis |
| Age of participants | Age may influence job satisfaction/burn-out |
| Gender of participants | To understand any gendered differences in experiences of burn-out |
| Years as nurse | Length of clinical experience may affect well-being/burn-out |
| Years in specialist role | Nurses who are new in role may have different responses to stress/ burn-out than nurses with more experience |
| Married/family commitments | Blurring of home and work life boundaries may influence experiences of stress and burn-out |
| Evidence of stress/burn-out | To enable the scoping review question to be answered |
| Contributors to stress/burn-out | To identify factors and correlations that make stress/ burn-out worse |
| Mitigators against stress/burn-out | To identify factors and correlations which reduce stress/burn-out or prevent its occurrence |
Summary of included studies
| Author(s) |
Methodology Sampling Data capture Data analysis | Sample: N= Age (mean and/or range) Gender Years as nurse Years in specialist role Married/family | Contributors to stress/BO | Mitigators against stress/BO |
| 1. Cañadas De La Fuente |
Meta-analytical study N/A MBI Statistical | Across 17 included studies: 9959 Mean age: 38.2 years Female (92%) 8.78 (mean) 6.4 (mean) 50.8% | Workload (volume and nature) | Not specifically studied in this paper, but suggestions by authors include: |
| 2. Glover-Stief |
Quant: exploratory descriptive cross-sectional survey Convenience sampling Professional Quality of Life Scale V Statistical: descriptive, χ2 with Cramer V |
208 20–60+years Female (97.1%) Under 5 years to 20+years Not recorded Not recorded | Time in role: participants practicing 5–10 years and>20 years had highest rate of CS, suggesting those new to role, or in mid-career (10–20 years in role) have lower CS scores and may therefore be at greater risk of BO. | Mindfulness practices=lower BO (statistically significant), meditative practices; support from family, co-workers, and administration=lower BO and CF, and higher CS. Presence and amount of support significant. |
| 3. Harris |
Quant: cross-sectional survey Purposive sampling (described, not stated) Single Item from MBI; stress items from the Mini Z Logistic regression analysis |
371 24–60+years Female (88.4%) Not recorded Not recorded Not recorded | Using EHRs decreases job satisfaction; EHR use is significantly associated with increasing frustration, having insufficient time for documentation, and spending time on EHRs at home, thus increasing BO. Remote EHR access significantly associated with BO. After adjusting for variables, insufficient time for documentation and increased frustration remain significantly associated with BO. High need to access EHRs remotely as unable to complete work in regular hours; use of EHGRs in outpatients setting=higher OR for BO, but not significant. | Medical scribes (UK equivalent=admin/med secretary) might mitigate BO associated with documentation. |
| 4. Hayes |
Quant: cross-sectional online survey Purposive (described, not stated) BPEM, IWS, NSS, MBI Independent t-test, ANOVAs; Pearson’s correlation co-efficients. |
379 21–60+years Female Not recorded <1 year to 20+years Not recorded | Higher BO levels among in-centre (ie, Hospital-based) haemodialysis nurses, when compared with nurses in satellite centres and in patient’s homes; work environment and job satisfaction scores deteriorate as patient numbers rise, but no obvious link to BO. | Work environment (tertiary, satellite, rural or home) affects job satisfaction and stress and BO levels. Satisfaction scores increased with longer duration in the role, and when working as a home dialysis nurse (not satellite or hospital based). Greater satisfaction with work environment correlates with greater job satisfaction, lower job stress, and lower EE. |
| 5. Kapu |
Quant: cross-sectional survey Purposive (described, not stated) MBI; BSS; RAND 20; SSCS; Pearson χ2; Kruskall-Wallis |
433 24–65+years Female (91.8%) Not recorded Not recorded Not recorded | High EE and DP scores were associated with current BO. Lower health function scores are detrimental. Caring strongly for patients. Limited opportunities for advancement. Lower work–life balance. High reliance on peers. | Older nurses reported less BO. Those with high PA scores were less likely to have current BO. Supportive relationships with peers/ colleagues, being appreciated, opportunities for career advancement. |
| 6. Klein |
Quant: Cross-sectional online survey Purposive (described, not stated) JSM; MBI; UWES; WFB Structural equation modelling |
1216 23–60+years Female (84.8%) <1 year to 15+ years Not recorded | Contributors to BO-EE, DP, work pressure, lack of autonomy, role ambiguity. | Mitigators to BO-PA, vigour, dedication, absorption. |
| 7. Neumann |
Quant: cross-sectional online survey Purposive (described, not stated) MBI; MDS-R Tukey-Kramer; χ2; multivariable linear regression | APP group data only: 255 20–60+ years Female (94%) Not recorded Not recorded 180 (71%) | Moral distress significant contributing factor to BO. BO more likely with inadequate work-life balance and low level of career satisfaction. High demand for direct patient care and related admin tasks leaves little time for personal and professional development activities and contributes to increased BO. | Identifies strategies recommended in other literature, including counselling, mindfulness, stress-reduction confidence-building, exercise, team building, adjustments to rostering, |
| 8. White |
Quant: cross-sectional online survey Purposive+snowball CBI Independent t-tests |
Seven Not recorded Female (100%) Not recorded <6 months to 10+ years Not recorded | Suggests that despite personal and work-related challenges, commitment to patients remains high. Also suggests that CNSs do not have significant BO or risk factors, but that BO appears to be more likely in experienced nurses (counter to all other evidence) BUT very small sample size. | No mitigating factors identified |
ANOVA, analysis of variance; APN, advanced practice nurses; APP, advanced practice provider; BO, burn-out; BPEM, Brisbane Practice Environment Scale; BSS, Burn-out Status Survey; CBI, Copenhagen burn-out Inventory; CF, Compassion fatigue; CNS, Clinical Nurse Specialist; CS, compassion satisfaction; DP, depersonalisation; EE, emotional exhaustion; EHR, electronic health record; IWS, Index for Work Satisfaction; JSM, Job Stressors Measure; MBI, Maslach burn-out Inventory; MDS-R, Moral Distress Scale-Revised; NSS, Nursing Stress Scale; PA, Personal Accomplishment/Personal Achievement; SSCS, Social Support and Coping Scale; UWES, Utrecht Work Engagement Scale; WFB, Work Family Balance.