Psychometric properties of the Korean version of the Occupational Fatigue Exhaustion Recovery Scale in a nurse population

Min, Ari; Min, Haeyoung; Hong, Hye Chong

doi:10.1002/nur.21980

Cited by 22 publications

(50 citation statements)

References 45 publications

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“…More than half of the DCRNs had moderate to high levels of chronic fatigue. Levels of chronic fatigue in all nurses were higher than those found in a sample of New Zealand intensive care nurses working 12‐hour shifts (Yu et al, 2019) but lower than those found in Lebanese direct care nurses (Sagherian et al, 2017) and in Korean direct patient care nurses working rotating shifts (Min et al, 2019a). It is interesting to note that the differences in levels of acute and chronic fatigue in DCRNs compared with non‐DCRNs were small, and those group differences disappeared once other factors were considered in the regression models.…”

Section: Discussioncontrasting

confidence: 52%

Acute and chronic fatigue in nurses providing direct patient care and in non‐direct care roles: A cross‐sectional analysis

Ross

Geiger-Brown

Yang

et al. 2021

Nursing & Health Sciences

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Nurses are at risk for work‐related fatigue, which can impact their health, well‐being, and job readiness. The purpose of this study was to examine the levels, types, and factors associated with fatigue in registered nurses (RNs) in direct patient care (DCRNs) and in non‐direct patient care (non‐DCRNs) roles. A cross‐sectional survey was administered to 313 RNs. Measures included: Multidimensional Fatigue Symptom Inventory, Occupational Fatigue Exhaustion Recovery, Brief COPE, PROMIS® Global Sleep Disturbance, and Job Content Questionnaire. Acute fatigue levels in RNs were similar to those in diseased populations, and nearly 50% reported moderate/high levels of chronic fatigue. DCRNs reported higher levels of acute and chronic fatigue than non‐DCRNs, but the differences were small and disappeared when accounting for other factors associated with fatigue including sleep disturbance, job strain, workplace support, maladaptive coping, and especially intershift recovery, which accounted for 20%–41% of fatigue variability. This study suggests that it may not be only nurses providing direct patient care who are at risk for acute and chronic fatigue. Intershift recovery may be particularly important in alleviating acute and chronic fatigue in nurses.

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Section: Discussioncontrasting

confidence: 52%

Acute and chronic fatigue in nurses providing direct patient care and in non‐direct care roles: A cross‐sectional analysis

Ross

Geiger-Brown

Yang

et al. 2021

Nursing & Health Sciences

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“…According to Min and colleagues [ 62 ], nurses perform in multifaceted circumstances that embrace the highest experience and capability in displaying a patient-oriented attitude and providing nursing care. The challenging work atmosphere in the hospital places a great deal of pressure on nurses’ shoulders.…”

Section: Discussionmentioning

confidence: 99%

“…Exhaustion was a concept for nurses to express their thoughts and impressions during coronavirus in this current research study. Nurse exhaustion is a “work-related situation that ranges from severe to long-lasting in nature and can generate an overwhelming sense of tiredness, reduced dynamism, as well as tiredness resulting in impaired physical functioning, cognitive functioning, or both” [ 62 ].…”

Section: Discussionmentioning

confidence: 99%

Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences

Araslı

Furunes

Jafari

et al. 2020

IJERPH

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The world has been affected by an outbreak of the novel coronavirus (COVID-19). Health care workers are among those most at risk of contracting the virus. In the fight against the coronavirus, nurses play a critical role. Still, most social media platforms demonstrate that nurses fear that their health is not being prioritized. The purpose of this study is to investigate nurses’ experiences through analyzing the main themes shared on Instagram by nurses during the COVID-19 pandemic. In contrast with highly structured research, the current paper highlights nurses’ natural language use in describing their experiences during the first months of the outbreak in their workplace. Instagram captions were utilized as a data source. Leximancer was utilized for the content analysis of nurses’ narratives towards their coronavirus experience. We sought to accomplish three research objectives: the first was to identify the main themes in the descriptions of nurses’ experiences shared via their social media, specifically Instagram; then, to determine the relationships among concepts, and finally, to give useful implications based on the findings. The current study uses a qualitative (i.e., narratives) approach to analyze the main components of the nurses’ experiences during the pandemic. The Leximancer software analysis revealed nine major textual themes and the relationships among these themes. In order of the relative importance, the themes were “patients”, “coronavirus”, “exhaustion”, “family”, “hospital”, “personal protective equipment” (PPE), “shift”, “fear”, and “uncertainty”. The results offer practical implications based on the social media information regarding nurses’ overall experiences.

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“…The Korean version of the Occupational Fatigue Exhaustion/Recovery Scale (OFER-K), which consists of 15 items (Min et al, 2019), was used to measure nurses' occupational fatigue and recovery. The scale involved three subscales: acute fatigue (OFER-AF), chronic fatigue (OFER-CF), and intershift recovery (OFER-IR).…”

Section: Occupational Fatigue and Recoverymentioning

confidence: 99%

Work schedule characteristics and occupational fatigue/recovery among rotating‐shift nurses: A cross‐sectional study

Min

Hong

Kim

2021

J Nursing Management

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Aims: To determine the effects of work schedule characteristics on occupational fatigue and recovery among rotating-shift nurses in South Korea.Background: Understanding the effects of work schedule characteristics on occupational fatigue is important to prevent adverse nurse outcomes and to ensure patient safety.Methods: This study used secondary data analysis with a cross-sectional design. Data were collected on 436 rotating-shift nurses in 2018. Nurses' occupational fatigue and recovery were measured using the Occupational Fatigue Exhaustion/Recovery Scale. We used quantile regression models. Results:The scores for acute and chronic fatigue and intershift recovery were 70.40, 73.39, and 29.82, respectively. Overtime hours, number of night shifts, number of consecutive days off, and breaks were significant influential factors in some quantiles of acute fatigue, chronic fatigue, and intershift recovery, while total working hours was only associated with chronic fatigue in the 25th quantile. Conclusions:The quantile and linear regression models revealed different results for work schedule factors that affect occupational fatigue and intershift recovery among rotating-shift nurses.Implication for Nursing Management: These findings have important implications for developing targeted strategies and policies to reduce occupational fatigue and improve intershift recovery for rotating-shift nurses with different levels of occupational fatigue and recovery.

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Psychometric properties of the Korean version of the Occupational Fatigue Exhaustion Recovery Scale in a nurse population

Cited by 22 publications

References 45 publications

Acute and chronic fatigue in nurses providing direct patient care and in non‐direct care roles: A cross‐sectional analysis

Acute and chronic fatigue in nurses providing direct patient care and in non‐direct care roles: A cross‐sectional analysis

Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences

Work schedule characteristics and occupational fatigue/recovery among rotating‐shift nurses: A cross‐sectional study

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