Explanatory Models of Burnout Diagnosis Based on Personality Factors in Primary Care Nurses

Albendín‐García, Luis; Suleiman‐Martos, Nora; Ortega‐Campos, Elena; Aguayo‐Estremera, Raimundo; Sáez, Juan Manuel; Romero‐Béjar, José L.; Fuente, Guillermo A. Cañadas‐De la

doi:10.3390/ijerph19159170

Cited by 6 publications

(8 citation statements)

References 43 publications

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“…The relationship between N and EE that has been found in this study coincides with other studies carried out in managing nurses, oncology service nurses or in nurses in the area of primary health care [ 30 , 31 , 32 ]. N is characterized by emotional instability where the subject is predisposed to interpret events in a negative way.…”

Section: Discussionsupporting

confidence: 91%

Personality Factors as Predictors in Burnout Level Changes for Surgical Area Nurses

et al. 2022

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Surgical area nurses provide comprehensive care to patients throughout the surgical process. Increases in life expectancy lead to the appearance and development of diseases, translating into an increase in the number of necessary interventions. Increases in the workload can be another risk factor for the development of burnout in professionals in this area. Knowledge of psychological and personality-related variables provides relevant information of level changes in the dimensions of burnout syndrome. Three logistic regression models, based on a cross-sectional study with 214 nurses working in the surgical area in the Andalusian Health Service, Spain, were built for each dimension. These models included different variables related to depression and personality, with some being significant at the population level and consequently true risk or protection factors. Friendliness, responsibility and extraversion are protection factors for the personal accomplishment dimension, whilst neuroticism is a risk factor for this dimension. Friendliness is also a protection factor for depersonalization, whilst depression is a risk factor. Finally, neuroticism, responsibility and depression are risk factors for the emotional exhaustion dimension of burnout. These findings provide relevant information that makes anticipation of this syndrome in this group easier.

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Section: Discussionsupporting

confidence: 91%

Personality Factors as Predictors in Burnout Level Changes for Surgical Area Nurses

et al. 2022

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“… Exhibition [ 138 ] Edwards Personal Preference Schedule (EPPS) 445 12.14 3.78 Information not available for interpretation Femininity [ 57 , 65 ] California Psychological Inventory 70 18.82 6.48 Information not available for interpretation Flexibility [ 57 ] California Psychological Inventory 36 11.14 3.57 Information not available for interpretation Forthrightness [ 50 ] 16F Personality Indicator 71 4.18 0.85 Nurses personality trait of forthrightness is lower than the general population. Friendliness [ 62 , 107 ] NEO Five-Factor Inventory (NEO FFI) 5 point scale 338 45.16 0.54 Nurses score 45.16 out of 60, where higher score = higher association to personality trait. Friendliness [ 62 ] NEO Five-Factor Inventory 5 point scale 96 45.81 5.90 Nurses score 45.81 out of 60, where higher score = higher association to personality trait.…”

Section: Resultsmentioning

confidence: 99%

“… Narcissism [ 58 ] Narcissistic Personality Inventory 49 11.10 5.57 Nurses score 11.10 out of 40, where higher scores = higher narcissism. Neuroticism [ 9 , 49 , 53 – 55 , 60 – 62 , 64 , 70 , 72 , 74 , 75 , 77 – 80 , 82 , 84 , 86 , 90 , 93 , 96 , 100 , 102 – 105 , 107 , 108 , 112 – 114 , 119 , 123 , 125 – 127 , 129 – 132 , 135 , 136 , 140 , 142 , 212 ] Big Five Inventory 3243 2.66 0.15 Doctors score 2.66out of 5, where higher scores = higher association with personality trait. Big Five Inventory Subscale Sum Score 1956 21.80 4.02 Nurses scored 21.93 out 45, where higher scores = higher association with personality trait.…”

Section: Resultsmentioning

confidence: 99%

“… Neuroticism Scale 139 18.34 5.80 Information not available for interpretation Ten-Item Personality Inventory - Japanese (TIPI-J) 211 2.45 1.19 Information not available for interpretation Personality-trait questionnaire 23 17.40 3.51 Nurses scored 17.40 out of 23, where higher scores = higher association Nurturance [ 138 ] Edwards Personal Preference Schedule (EPPS) 445 16.65 4.31 Information not available for interpretation Novelty Seeking [ 1 , 66 , 141 ] Temperament and Character Inventory (TCI-R 140) 411 54.48 0.24 Nurses exhibit average novelty seeking, when compared to population norms. Temperament and Character Inventory (TCI-240) 287 18.10 4.40 Information not available for interpretation Openness [ 9 , 53 – 55 , 59 – 62 , 64 , 70 , 72 , 74 , 75 , 77 – 80 , 82 , 84 , 86 , 90 , 93 , 96 , 100 , 102 – 105 , 107 , 108 , 112 – 114 , 119 , 123 , …”

Section: Resultsmentioning

confidence: 99%

“… Resilience [ 81 ] Resilience Scale for Adults 140 134.00 71.81 Nurses demonstrate high resilience protective factors. Responsibility [ 62 , 107 , 108 ] NEO Five-Factor Inventory 5 point scale 338 47.02 6.10 Nurses scored 47.02 out of 60, where higher score = higher association to personality trait. California Psychological Inventory 36 31.92 4.28 Information not available for interpretation Big Five Personality Scale (BFPS) 176 35.25 5.39 Nurses demonstrate higher than average responsibility.…”

Section: Resultsmentioning

confidence: 99%

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Profiling health professionals’ personality traits, behaviour styles and emotional intelligence: a systematic review

2023

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Background Non-cognitive traits have been theorised to predict characteristics, career choice and outcomes of health professionals and could represent a homogenous group. This study aims to profile and compare personality traits, behaviour styles and emotional intelligence of health practitioners across a variety of professions. Methods Empirical literature was systematically reviewed. A two-concept search strategy was applied to four databases (CINAHL, PubMed, Embase, ProQuest). Title/abstract and full text articles were screened against inclusion and exclusion criteria. Methodological quality was assessed using Mixed Methods Appraisal Tool. Data was synthesised narratively and meta-aggregated where feasible. Results Three hundred twenty-one studies representing 153 assessment tools of personality (n = 83 studies), behaviour (n = 8), and emotional intelligence (n = 62) were included. Most studies (n = 171) explored personality (medicine, nursing, nursing assistants, dentistry, allied health, paramedics), revealing variation in traits across professions. Behaviour styles were least measured with only ten studies exploring these across four health professions (nursing, medicine, occupational therapy, psychology). Emotional intelligence (n = 146 studies) varied amongst professions (medicine, nursing, dentistry, occupational therapy, physiotherapy, radiology) with all exhibiting average to above-average scores. Conclusion Personality traits, behaviour styles and emotional intelligence are all key characteristics of health professionals reported in the literature. There is both heterogeneity and homogeneity within and between professional groups. The characterisation and understanding of these non-cognitive traits will aid health professionals to understand their own non-cognitive features and how these might be useful in predicting performance with potential to adapt these to enhance success within their chosen profession.

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Prevalence of Burnout Syndrome and Fear of COVID-19 among Adolescent University Students

et al. 2023

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This study aimed to estimate the prevalence of burnout syndrome in adolescents entering university studies, to detect differences in burnout levels, personality factors and fear of coronavirus in a pandemic context due to COVID-19. A cross-sectional predictive study was performed with a sample that comprised 134 individuals in their first year of a Psychology degree at Spanish universities. The Maslach Burnout Inventory Student Survey, the NEO Five-Factor Inventory and the Fear of COVID-19 Scale were applied. The prevalence of burnout is estimated according to three methods: Maslach and Jackson’s severity classification, Golembiewski’s phase model and Maslach et al.’s profile model. The estimates show significant differences. The results indicated that between 9 and 21% of students were at risk of developing burnout. On the other hand, students who reported having suffered psychological consequences of the pandemic showed greater emotional exhaustion, neuroticism and fear of COVID-19, and a lower level of personal accomplishment than those who did not suffer such consequences. Neuroticism was the only significant predictor for all burnout dimensions, and fear of COVID-19 did not contribute to any of them.

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Explanatory Models of Burnout Diagnosis Based on Personality Factors in Primary Care Nurses

Cited by 6 publications

References 43 publications

Personality Factors as Predictors in Burnout Level Changes for Surgical Area Nurses

Personality Factors as Predictors in Burnout Level Changes for Surgical Area Nurses

Profiling health professionals’ personality traits, behaviour styles and emotional intelligence: a systematic review

Prevalence of Burnout Syndrome and Fear of COVID-19 among Adolescent University Students

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