The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research

John B Sexton, Robert L Helmreich, Torsten B Neilands, Kathy Rowan, Keryn Vella, James Boyden, Peter R Roberts, Eric J Thomas, John B Sexton, Robert L Helmreich, Torsten B Neilands, Kathy Rowan, Keryn Vella, James Boyden, Peter R Roberts, Eric J Thomas

Abstract

Background: There is widespread interest in measuring healthcare provider attitudes about issues relevant to patient safety (often called safety climate or safety culture). Here we report the psychometric properties, establish benchmarking data, and discuss emerging areas of research with the University of Texas Safety Attitudes Questionnaire.

Methods: Six cross-sectional surveys of health care providers (n = 10,843) in 203 clinical areas (including critical care units, operating rooms, inpatient settings, and ambulatory clinics) in three countries (USA, UK, New Zealand). Multilevel factor analyses yielded results at the clinical area level and the respondent nested within clinical area level. We report scale reliability, floor/ceiling effects, item factor loadings, inter-factor correlations, and percentage of respondents who agree with each item and scale.

Results: A six factor model of provider attitudes fit to the data at both the clinical area and respondent nested within clinical area levels. The factors were: Teamwork Climate, Safety Climate, Perceptions of Management, Job Satisfaction, Working Conditions, and Stress Recognition. Scale reliability was 0.9. Provider attitudes varied greatly both within and among organizations. Results are presented to allow benchmarking among organizations and emerging research is discussed.

Conclusion: The Safety Attitudes Questionnaire demonstrated good psychometric properties. Healthcare organizations can use the survey to measure caregiver attitudes about six patient safety-related domains, to compare themselves with other organizations, to prompt interventions to improve safety attitudes and to measure the effectiveness of these interventions.

Figures

Figure 1
Figure 1
SAQ factor definitions and example items.
Figure 2
Figure 2
Distribution of percent positive scores for the 203 clinical areas.

References

    1. Kohn LT, Corrigan JM, Donaldson MS, (Eds) To Err is Human. Building a Safer Health System. Washington DC: National Academy Press; 1999.
    1. Department of Health . Organisation with a memory. The Stationary Office, London; 2000.
    1. Reason JT. Managing the risks of organizational accidents. Ashgate Publishing, Aldershot; 1997.
    1. Maurino DE, Reason J, Johnston N, Lee RB. Beyond Aviation Human Factors. Ashgate Publishing, Aldershot;; 1995.
    1. Leape LL. Error in medicine. Journal of the American Medical Association. 1994;272:1851–1857.
    1. Cook RI, Woods DD. Operating at the sharp end: the complexity of human error. In: Bogner MS, editor. Human error in medicine. Hillside, NJ: Lawrence Erlbaum and Associates; 1994. pp. 255–310.
    1. Reason JT. Understanding adverse events Human factors. In: Vincent CA, editor. Clinical Risk Management. British Medical Journal Publications; 1995.
    1. Vincent CA, Taylor-Adams S, Stanhope N. Framework for analyzing risk and safety in clinical medicine. British Medical Journal. 1998;316:1154–1157.
    1. Nieva VF, Sorra J. Safety culture assessment: a tool for improving patient safety in healthcare organizations. Qual Saf Health Care. 2003;12:17–23.
    1. Colla JB, Bracken AC, Kinney LM, Weeks WB. Measuring patient safety climate: a review of surveys. Qual Saf Health Care. 2005;14:364–6.
    1. Singer SJ, Gaba DM, Geppert JJ, Sinaiko AD, Howard SK, Park KC. The culture of safety: results of an organization-wide survey in 15 California hospitals. Qual Saf Health Care. 2003;12:112–8.
    1. Weingart SN, Farbstein K, Davis RB, Phillips RS. Using a multihospital survey to examine the safety culture. Joint Commission Journal on Quality and Safety. 2004;30:125–132.
    1. Sorra JS, Nieva VF. Hospital Survey on Patient Safety Culture. (Prepared by Westat, under Contract No. 290-96-0004). AHRQ Publication No. 04-0041. Rockville, MD: Agency for Healthcare Research and Quality; 2004.
    1. Sexton JB, Thomas EJ, Helmreich RL. Error, stress, and teamwork in medicine and aviation: cross sectional surveys. BMJ. 2000;320:745–749.
    1. Thomas EJ, Sexton JB, Helmreich RL. Discrepant attitudes about teamwork among critical care nurses and physicians. Crit Care Med. 2003;31
    1. Helmreich RL, Merritt AC, Sherman PJ, Gregorich SE, Wiener EL. The Flight Management Attitudes Questionnaire (FMAQ) NASA/UT/FAA Technical Report 93-4. Austin, TX: The University of Texas; 1993.
    1. Helmreich RL, Merritt AC. Culture at work in aviation and medicine: National, organizational, and professional influences. Aldershot, U.K.: Ashgate; 1998.
    1. Donabedian A. The quality of care. How can it be assessed? JAMA. 1988;260:1743–8.
    1. Sexton JB, Helmreich RL, Wilhelm JA, Merritt AC, Klinect JR. The University of Texas Human Factors Research Project Technical Report 01-01. Austin, TX: The University of Texas; 2001. The Flight Management Attitudes Safety Survey (FMASS)
    1. Shortell SM, Denise M, Rouseau DM, Gillies RR, Devers KJ, Simons TL. Organizational assessment in intensive care units (ICUs): Construct Development, Reliability, and Validity of the ICU Nurse-Physician Questionnaire. Medical Care. 1991;29:709–723.
    1. Sexton JB. Unpublished doctoral dissertation. The University of Texas at Austin; 2002. A Matter of life or death: Social psychological and organizational factors related to patient outcomes in the intensive care unit.
    1. Muthén LK, Muthén BO. Mplus: The comprehensive modeling program for applied researchers user's guide. Los Angeles, CA: Muthén & Muthén. 2001.
    1. Yuan K-H, Bentler PM. Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data. In: Sobel ME, editor. Sociological Methodology. Washington, DC: American Sociological Association; 2000. pp. 165–200.
    1. White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrics. 1980;48:817–838.
    1. Bollen KA. Structural equations with latent variables. New York: John Wiley & Company; 1989.
    1. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling. 1999;6:1–55.
    1. Browne M, Cudeck R. Alternative ways of assessing model fit. In: Bollen K & Long S, editor. Testing structural equation models. Newbury Park, NJ: Sage; 1993.
    1. Vandenberg RJ, Lance CE. A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods. 2000. pp. 4–69.
    1. Miller MB. Coefficient Alpha: A basic introduction from the perspectives of classical test theory and structural equation modeling. Structural Equation Modeling. 1995;2:255–273.
    1. Raykov T. Estimation of composite reliability for congeneric measures. Applied Psychological Measurement. 1997;21:173–184.
    1. Raykov , Tenko , Du Toit , Stephen HC. Estimation of reliability for multiple component measuring instruments in hierarchical designs. Structural Equation Modeling. pp. 536–550.
    1. Pronovost P, Sexton B. Assessing safety culture: guidelines and recommendations. Qual Saf Health Care.
    1. Roth PL. Missing data: A conceptual review for applied psychologists. Personnel Psychology. 1994;47:537–560.
    1. Muthén B. Best methods for the analysis of change Recent advances, unanswered questions, future directions. Washington, DC: American Psychological Association; 1991. Analysis of longitudinal data using latent variable models with varying parameters; pp. 1–17.
    1. Muthén BO. Multilevel Covariance Structure Analysis. Sociological Methods and Research. 1994;22:376–399.
    1. accessed June 23, 2005.
    1. Uhlig PN, Haan CK, Nason AK, Niemann PL, Camelio A, Brown J. In Proceedings of the Eleventh International Symposium on Aviation Psychology. Columbus, OH: The Ohio State University; 2001. Improving Patient Care by the Application of Theory and Practice from the Aviation Safety Community.
    1. Thomas EJ, Sexton JB, Neilands TB, Frankel A, Helmreich RL. The effect of executive walk rounds on nurse safety climate attitudes. A randomized trial of clinical units BMC Health Services Research. 2005;5:28.
    1. Pronovost P, Weast B, et al. Implementing and validating a comprehensive unit-based safety program. J Patient Saf. 2005;1:33–40.
    1. Defontes J, Surbida S. Preoperative safety briefing project. The Permanente Journal. 2004;8:21–27.
    1. Roberts P. Snakes and Ladders– The Pursuit of a Safety Culture in New Zealand Public Hospitals. Wellington, Institute of Policy Studies and Health Services Research Centre, Victoria University of Wellington; 2003.
    1. Shteynberg G, Sexton JB, Helmreich RL. ICU Safety: A taxonomy of healthcare provider recommendations for patient safety improvements. Hot Topic Presentation to the 2002 American Psychological Society, June 9, New Orleans, Louisiana. 2002.

Source: PubMed

3
Sottoscrivi