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Industrial Health 47 (2009), 70–79

Safety climate and motivation toward patient safety among Japanese nurses in hospitals of fewer than 250 beds. Industrial Health 47 (2009), 70–79. 報告者:林秀芸. Contents. 1. Study objective. 2. Introduction. 3. Methods. 4. Results. 5. Discussions. Study objective.

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Industrial Health 47 (2009), 70–79

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  1. Safety climate and motivation toward patient safety among Japanese nurses in hospitals of fewer than 250 beds Industrial Health 47 (2009), 70–79 報告者:林秀芸

  2. Contents 1. Study objective 2. Introduction 3. Methods 4. Results 5. Discussions

  3. Study objective • Examine the relationships between safety climate and nurses’ motivation toward patient safety • Which dimension of safety climate would significantly affect nurses’ motivation to prevent mistakes?

  4. Introduction • Safety climate (Zohar, 1980; Hofmann DA, 1996) • workers’ perceptions of safety • Influence workers’ motivation toward safety behavior • Many studies explored the association between safety climate and its outcome, e.g. safety behavior, accidents, and patient safety. (Cheyne et al., 1998; Masuchi A, 2002)

  5. Safety climate dimensions • Industry (except health care) • Management/supervision • Safety system • Risk • Work pressure • Competence (Flin et al.,2000) • Health care (esp. patient safety) • Leadership • Policies & Procedures • Staffing • Communications • Reporting (Colla et al., 2005) • Organizational attitude & behavior • Communications • Workers’ committment (Masuchi A, 2002)

  6. This study • Design of safety climate survey should depend on nations’ situation, such as career development, and public policy of health care. • This study developed a new safety climate scale. • Factor analysis  examine the association between the dimensions and “Nurses’ motivation to prevent mistakes”

  7. Methods • Population: In Japan, most hospitals are small or medium-sized. • Subjects • Japanese • 6 private hospitals • nursing directors • 637 female nurses • January ~ May (2007) • Independent variable: nurses’ attributes & safety climate scale • Dependent variable: nurses’ motivation to prevent mistakes • Principal factor methods • Promax rotation

  8. Methods • Population: In Japan, most hospitals are small or medium-sized. • Subjects • Japanese • 6 private hospitals • nursing directors • 637 female nurses • January ~ May (2007) • Independent variable: nurses’ attributes & safety climate scale • Dependent variable: nurses’ motivation to prevent mistakes • Principal factor methods • Promax rotation

  9. Methods • Nurses’ attributes • Age • Job type (registered, licensed, assistant) • Marital status (married / single) • Children (with/without)

  10. Methods • Safety climate scale (Kudo et al., 2008) • Exploratory factor analysis  confirmatory factor analysis  Cronbach’s alpha • Safety climate scale of this study (5-point scale) • Superiors’ attitudes • Relationships among nurses • Communications with physicians • Fatigue reduction • Opportunities for nursing education • Nursing conditions • Reporting

  11. Methods • Nurses’ motivation to prevent mistakes • 5-point Likert scale • Definition • Near miss • Nurses’ incorrect practice was discovered before it resulted in patients’ harm. • Nurses’ incorrect practice was done, but it didn’t hurt the patients. • Mistake • Incorrect practice affected patients’ safety

  12. Results –each factors construct

  13. Results –each factors construct

  14. Results –each factors construct

  15. Results

  16. Results

  17. Results • Factors associated with motivation to prevent mistakes • Multiple linear regression analysis

  18. Conclusions • This extracted 7 dimensions of safety climate by factor analysis. • Nurses’ motivation to prevent mistakes was significantly associated with reporting, nursing conditions, and communications with physicians. • Occupations of nurses and physicians is taken into account in this study. • Career development and public policy of health care may have great impact on safety climate.

  19. Discussions • Reporting system is also introduced in other industry, such as aviation industry. • Staff can learn something about risks from report.

  20. Thank You !

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