Evidence map›Paper›PMID 34879095›Full record

ArticlePloS one2021

Behavioral aspects of nurse practitioners associated with optimal multiple sclerosis care in Spain.

Gustavo Saposnik, Beatriz Del Río, Guillermo Bueno-Gil, Ángel P Sempere, Alejandro Lendínez-Mesa, Alfredo Rodríguez-Antigüedad, María Terzaghi, Nicolás Medrano, Jorge Maurino

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 3 countries.

Gustavo SaposnikDivision of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada.
Beatriz Del RíoDepartment of Nursing, Hospital Universitario de La Princesa, Madrid, Spain.
Guillermo Bueno-GilMedical Department, Roche Pharma, Madrid, Spain.
Ángel P SempereDepartment of Neurology, Hospital General Universitario de Alicante, Alicante, Spain.ORCID 0000-0002-0195-2834
Alejandro Lendínez-MesaDepartment of Nursing, School of Medicine, Universidad Alfonso X el Sabio, Madrid, Spain.
Alfredo Rodríguez-AntigüedadDepartment of Neurology, Hospital Universitario Cruces, Bilbao, Spain.ORCID 0000-0002-4566-2329
María TerzaghiDecision Neuroscience Unit, Li Ka Shing Institute, University of Toronto, Toronto, Canada.
Nicolás MedranoMedical Department, Roche Pharma, Madrid, Spain.
Jorge MaurinoMedical Department, Roche Pharma, Madrid, Spain.ORCID 0000-0001-9858-3555
Roche (Spain) · ESHospital de Cruces · ESHospital General Universitario de Alicante Doctor Balmis · ESHospital Universitario de La Princesa · ESSt. Michael's Hospital · CAUniversidad Alfonso X el Sabio · ESUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNurse 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.

methodsA non-interventional, cross-sectional, web-based study was conducted. NPs actively involved in the care of patients with MS were invited to participate in the study by the Spanish Society of Neurology Nursing. Participants answered questions regarding their standard practice and therapeutic management of seven simulated relapsing-remitting MS (RRMS) case scenarios. A behavioral battery was used to measure participants´ life satisfaction, mood, positive social behaviors, feeling of helpfulness, attitudes toward adoption of evidence-based innovations, occupational burnout, and healthcare-related regret. The outcome of interest was therapeutic inertia (TI), defined as the lack of treatment escalation when there is clinical and radiological evidence of disease activity. A score to quantify TI was created based on the number of simulated scenarios where treatment intensification was warranted.

resultsOverall, 331 NPs were invited to participate, 130 initiated the study, and 96 (29%) completed the study. The mean age (SD) was 44.6 (9.8) years and 91.7% were female. Seventy-three participants (76.0%) felt their opinions had a significant influence on neurologists´ therapeutic decisions. Sixteen NPs (16.5%) showed severe emotional exhaustion related to work and 13 (13.5%) had depressive symptoms. The mean (SD) TI score was 0.97 (1.1). Fifty-six of NPs showed TI in at least one case scenario. Higher years of nursing experience (p = 0.014), feeling of helpfulness (p = 0.014), positive attitudes toward innovations (p = 0.046), and a higher intensity of care-related regret (p = 0.021) were associated with a lower risk of TI (adjusted R2 = 0.28). Burnout was associated with higher risk of TI (p = 0.001).

conclusionsAlthough NPs cannot prescribe MS treatments in Spain, their behavioral characteristics may influence the management of patients with RRMS. Continuing education and specific strategies for reducing occupational burnout may lead to better management skills and improve MS care.

Indexed as

AdultBurnout, ProfessionalCross-Sectional StudiesFemaleHumansMaleMiddle AgedMultiple SclerosisNeurologistsNurse PractitionersOnline SystemsPatient CareSpainSurveys and Questionnaires

Identifiers

PMID34879095
PMCPMC8654214
OpenAlexW4200475107

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.