| Literature DB >> 34879095 |
Gustavo Saposnik1,2,3, Beatriz Del Río4, Guillermo Bueno-Gil5, Ángel P Sempere6, Alejandro Lendínez-Mesa7,8, Alfredo Rodríguez-Antigüedad9, María Terzaghi2, Nicolás Medrano5, Jorge Maurino5.
Abstract
BACKGROUND: Nurse practitioners (NPs) play a critical role in the multidisciplinary management of patients with multiple sclerosis (MS). Neurologists´ behavioral characteristics have been associated with suboptimal clinical decisions. However, limited information is available on their impact among NPs involved in MS care. The aim of this study was to assess nurses´ therapeutic choices to understand behavioral factors influencing their decision making process.Entities:
Mesh:
Year: 2021 PMID: 34879095 PMCID: PMC8654214 DOI: 10.1371/journal.pone.0261050
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Main characteristics of the sample.
| N = 96 | |
|---|---|
| Age, years, mean (SD) | 44.6 (9.8) |
| Sex, female, n (%) | 88 (91.7) |
| Years of experience as a nurse, mean (SD) | 21.1 (9.9) |
| Years of experience managing MS patients, mean (SD) | 7.5 (5.3) |
| Type of hospital, high complexity, n (%) | 48 (50) |
| Working at a Neuroimmunology Clinic, n (%) | 50 (52.1) |
| Working at a Neurology Department, n (%) | 46 (47.9) |
| MS patients managed per week, mean (SD) | 23.9 (22.6) |
| Participation in MS clinical trials, n (%) | 60 (62.5) |
| Attendance to MS training activities in the last 2 years, n (%) | 89 (90.8) |
| Authorship of scientific manuscripts/abstracts in peer-reviewed journals/congresses, n (%) | 71 (74.0) |
| Self-perception of being considered by neurologists, mean (SD) | 7.2 (2.1) |
MS = Multiple sclerosis, SD = Standard deviation.
Behavioral characteristics of the sample.
| N = 96 | |
|---|---|
| SWLS score, mean (SD) | 27.0 (4.1) |
| SWLS score > 26, n (%) | 67 (69.8) |
| BDI-FS score, mean (SD) | 1.6 (2.1) |
| BDI-FS score ≥ 4, n (%) | 13 (13.5) |
| PBIS score, mean (SD) | 6.3 (0.6) |
| EBPAS total score, mean (SD) | 3.2 (0.4) |
| Emotional Exhaustion MBI-HSS score, mean (SD) | 17.1 (9.6) |
| Emotional Exhaustion MBI-HSS score ≥ 27, n (%) | 16 (16.5) |
| RIS-10 overall score, mean (SD) | 20.6 (8.6) |
| RIS-10 overall score > 30, n (%) | 13 (13.5) |
BDI-FS = Beck Depression Inventory—Fast Screen, EBPAS = Evidence-Based Practice Attitude Scale, MBI-HSS = Maslach Burnout Inventory—Human Services Survey, PBIS = Prosocial Behavior Intentions Scale, RIS-10 = Regret Intensity Scale, SD = Standard deviation, SWLS = Satisfaction With Life Scale.
Variables associated with TI score and TI (present/absent).
| TI score | TI (present/absent) | |||||
|---|---|---|---|---|---|---|
| 95% CI | Coefficient | 95% CI | p-value | OR | 95% CI | p-value |
| Age, years | 0.060 | 0.002, 0.12 | 0.044 | 1.16 | 0.97, 1.38 | 0.10 |
| Experience as a nurse, years | - 0.067 | -0.13, -0.09 | 0.024 | 0.84 | 0.71, 1.00 | 0.058 |
| Feeling of helpfulness, score | -0.10 | -0.20, -0.01 | 0.033 | 0.68 | 0.48, 0.94 | 0.021 |
| Care-related regret, score | -0.024 | -0.048, -0.006 | 0.044 | 0.92 | 0.86, 0.98 | 0.017 |
| Attitudes toward evidence-based innovations, score | -0.071 | -0.10, -0.040 | <0.001 | 0.92 | 0.85, 1.00 | 0.063 |
| Burnout, score | 0.037 | 0.016, 0.058 | 0.001 | 1.07 | 1.01, 1.14 | 0.001 |
CI = Confidence interval, OR = Odds ratio, TI = Therapeutic inertia.
* Derived from linear regression analysis adjusted for all presented variables.
† Derived from logistic regression analysis adjusted for all presented variables.
Fig 1Observed versus predicted probability of therapeutic inertia.
Fig 2Observed versus predicted probability of therapeutic inertia by behavioral variables of interest.
Fig 3Frequency of therapeutic inertia by level of feeling of helpfulness in multiple sclerosis management.