福祉関連職におけるMaslach Burnout Inventoryの因子構造の比較

Five subscales were derived from the Nursing Work Index (NWI) to measure the hospital nursing practice environment, using 1985-1986 nurse data from 16 magnet hospitals. The NWI comprises organizational characteristics of the original magnet hospitals. The psychometric properties of the subscales and a composite measure were established. All measures were highly reliable at the nurse and hospital levels. Construct validity was supported by higher scores of nurses in magnet versus nonmagnet hospitals. Confirmatory analyses of contemporary data from 11,636 Pennsylvania nurses supported the subscales. The soundness of the new measures is supported by their theoretical and empirical foundations, conceptual integrity, psychometric strength, and generalizability. The measures could be used to study how the practice environment influences nurse and patient outcomes.

Practice Environment Scale of the Nursing Work Index

PURPOSE
To determine the effect of hospital work environments on hospital outcomes across multiple countries.


DESIGN
Primary survey data using a common instrument were collected from separate cross sections of 98 116 bedside care nurses practising in 1406 hospitals in 9 countries between 1999 and 2009.


MAIN OUTCOME MEASURES
Nurse burnout and job dissatisfaction, patient readiness for hospital discharge and quality of patient care.


RESULTS
High nurse burnout was found in hospitals in all countries except Germany, and ranged from roughly a third of nurses to about 60% of nurses in South Korea and Japan. Job dissatisfaction among nurses was close to 20% in most countries and as high as 60% in Japan. Close to half or more of nurses in every country lacked confidence that patients could care for themselves following discharge. Quality-of-care rated as fair or poor varied from 11% in Canada to 68% in South Korea. Between one-quarter and one-third of hospitals in each country were judged to have poor work environments. Working in a hospital with a better work environment was associated with significantly lower odds of nurse burnout and job dissatisfaction and with better quality-of-care outcomes.


CONCLUSIONS
Poor hospital work environments are common and are associated with negative outcomes for nurses and quality of care. Improving work environments holds promise for nurse retention and better quality of patient care.

https://ir.ymlib.yonsei.ac.kr/bitstream/22282913/95019/1/T201105164.pdf

Importance of work environments on hospital outcomes in nine countries

Latent profile analysis: A review and “how to” guide of its application within vocational behavior research

This study examined the factor structure of the Self-Compassion Scale (SCS) using secondary data drawn from 20 samples (N = 11,685)-7 English and 13 non-English-including 10 community, 6 student, 1 mixed community/student, 1 meditator, and 2 clinical samples. Self-compassion is theorized to represent a system with 6 constituent components: self-kindness, common humanity, mindfulness and reduced self-judgment, isolation and overidentification. There has been controversy as to whether a total score on the SCS or if separate scores representing compassionate versus uncompassionate self-responding should be used. The current study examined the factor structure of the SCS using confirmatory factor analyses (CFA) and Exploratory Structural Equation Modeling (ESEM) to examine 5 distinct models: 1-factor, 2-factor correlated, 6-factor correlated, single-bifactor (1 general self-compassion factor and 6 group factors), and 2-bifactor models (2 correlated general factors each with 3 group factors representing compassionate or uncompassionate self-responding). Results indicated that a 1- and 2-factor solution to the SCS had inadequate fit in every sample examined using both CFA and ESEM, whereas fit was excellent using ESEM for the 6-factor correlated, single-bifactor and correlated 2-bifactor models. However, factor loadings for the correlated 2-bifactor models indicated that 2 separate factors were not well specified. A general factor explained 95% of the reliable item variance in the single-bifactor model. Results support use of the SCS to examine 6 subscale scores (representing the constituent components of self-compassion) or a total score (representing overall self-compassion), but not separate scores representing compassionate and uncompassionate self-responding. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

/pdf/examining-the-factor-structure-of-the-self-compassion-scale-33nwnihent.pdf

Examining the factor structure of the Self-Compassion Scale in 20 diverse samples: Support for use of a total score and six subscale scores.

ABSTRACT This research relies on bifactor models to help improve our understanding of the dimensionality of the psychological empowerment construct. We also examined the configurations, or profiles, taken by psychological empowerment dimensions, and documented their stability over time as well as the associations between these profiles and theoretically-relevant predictors (workload, supervisor support, overall organizational justice, and role clarity) and outcomes (alcohol consumption, sleeping difficulties, and depressive symptoms). A sample of 750 healthcare workers completed a questionnaire twice over a one-year period. First, our results showed that employees’ psychological empowerment ratings simultaneously reflected a global overarching construct co-existing with four specific dimensions (competence, impact, meaning, and self-determination). Then, five profiles were identified and found to be highly stable over time: Low Empowerment, Moderately High Empowerment and Impact, Normative, High Empowerment, and Moderately High Empowerment and High Meaning. Role clarity was also associated with a higher likelihood of membership into the High Empowerment profile and a lower likelihood of membership into the Low Empowerment one relative to the other profiles. Finally, employees’ depressive symptoms were the highest in the Low Empowerment profile.

Baptiste Cougot

Papers

Longitudinal psychological empowerment profiles, their determinants, and some health-related outcomes