Near-Miss Management: A Participative Approach to Improving System Reliability
Abstract
Investigations of many serious accidents in different fields have revealed that before every serious accident, a large number of related prior incidents occurred with limited impact and an even larger number of related incidents happened that resulted in no loss or damage. Collectively, these incidents are called near-misses. Near-misses provide insight into both potential failure points and weaknesses in the management system itself. Therefore, they can be a powerful tool to reduce risk and improve system reliability. Near-miss management systems (NMMS)s are designed to enable people and institutions to learn from high-frequency, low-impact incidents (near-misses) to prevent low-frequency, high-impact events (accidents). A comprehensive NMMS includes several important implementation steps, such as identification of near-misses, disclosure and reporting, prioritization and classification, distribution of the information, analysis of causes, solution identification, dissemination of actions and knowledge, resolution, and closure of the case. Successful implementation of an NMMS requires (a) strong management ownership, (b) participation and reporting of as many incidents as possible, and (c) use of quantitative tools to identify weaknesses and to improve the system.
References
- 1 Bird, F.E. & Germain, G.L. (1996). Practical Loss Control Leadership, Det Norske Verita, Loganville.
- 2 Vaughan, D. (1996). The Challenger Launch Decision: Risk Technology, Culture and Deviance at NASA, University of Chicago Press, Chicago.
- 3 Khan, F.I. & Abbasi, S.A. (1999). The world's worst industry accident of the 1999s, Process Safety Progress 18, 135–145.
- 4 Cullen, W.D. (2000). The Ladbroke Grove Mail Inquiry, Her Majesty's Stationary Office, Norwich.
- 5 March, J.G., Sproull, L.S. & Tamuz, M. (1991). Learning from samples of one or fewer, Organization Science 2, 1–13.
- 6 Oktem, U. (2003). Near-miss: a tool for integrated safety, health, environmental and security management, AIChE Spring Meeting, Loss Prevention Symposium, New Orleans.
- 7 Duffey, R.B. & Saull, J.W. (2003). Errors in technological systems, Human Factors and Ergonomics in Manufacturing 13(4), 279–291.
- 8 Ashcroft, D.M., Quinlan, P. & Blenkinsopp, A. (2005). Prospective study of the incidence, nature and causes of dispensing errors in community pharmacies, Pharmacoepidemiology and Drug Safety 14(5), 327–332.
- 9 McDonald, C.J. (2006). Computerization can create safety hazards: a bar-coding near miss, Annals of Internal Medicine 144(7), 510–516.
- 10 Dickinson, C. (2005). National Fire Fighter Near-Miss Reporting System, at http://www.firefighternearmiss.com/home.do (accessed 2007).
- 11 Clarke, S.P., Rockett, J.L., Sloane, D.M. & Aiken, L.H. (2002). Organizational climate, staffing, and safety equipment as predictors of needlestick injuries and near-misses hospital nurses, American Journal of Infection Control 30(4), 207–216.
- 12 Goldenhar, L.M., Williams, L.J. & Swanson, N.G. (2003). Modeling relationships between job stressors and injury and near-miss outcomes for construction laborers, Work and Stress 17(3), 218–240.
- 13 Lilley, R., Feyer, A.M., Kirk, P. & Gander, P. (2002). A survey of forest workers in New Zealand—do hours of work, rest, and recovery play a role in accidents and injury? Journal of Safety Research 33(1), 53–71.
- 14
Muermann, A. &
Oktem, U.
(2002).
The near miss management of operational risk,
Journal of Financial Risk
4(1),
25–36.
10.1108/eb022951 Google Scholar
- 15 Tucker, A.L. & Spear, S.J. (2006). Operational failures and interruptions in hospital nursing, Health Services Research 41(3), 643–662.
- 16 Oswald, E. (2006). Sony's Battery Recall Expands Again, http://www.betanews.com/article/Sonys_Battery_Recall_Expands_Again/1161701142 (accessed 2007).
- 17 Roberts, P.F. (2006). Dell, Sony Discussed Battery Problem 10 Months Ago, at http://www.infoworld.com/article/06/08/18/HNdellsonybattery_1.html (accessed 2007).
- 18 Wikipedia (2006). Sony-Controversies-Batteries, at http://en.wikipedia.org/wiki/Sony#Batteries (accessed 2007).
- 19 Cunningham, S.A. (2005). Incident, accident, catastrophe: cyanide on the Danube, Disasters 29, 99–128.
- 20 Jones, S., Kirchsteiger, C. & Bjerke, W. (1999). The importance of near miss reporting to further improve safety performance, Journal of Loss Prevention in the Process Industries 12(1), 59–67.
- 21 Phimister, J.R., Oktem, U., Kleindorfer, P.R. & Kunreuther, H. (2003). Near-miss incident management in the chemical process industry, Risk Analysis 23(3), 445–459.
- 22 Barach, P. & Small, S.D. (2000). Clinical review–reporting and preventing medical mishaps: lessons from non-medical near-miss reporting systems, British Medical Journal 320, 759–763.
- 23 Tamuz, M., Thomas, E.J. & Franchois, K.E. (2004). Defining and classifying medical error: lessons for patient safety reporting systems, Quality and Safety in Health Care 13(1), 13–20.
- 24 Bridges, W.G. (2000). Get near-misses reported, process industry incidents: investigations protocols, case histories, lessons learned, Centre for Chemical Process Safety international Conference and Workshop, American Institute of Chemical Engineers, New York.
- 25 Reynard, W.D., Billings, C.E., Cheaney, E.S. & Hardy, R. (1986). The Development of NASA Aviation Safety Reporting System, NASA Reference Publication 1114, NASA Ames Research Center, Moffett Field.
- 26 Tamuz, M. & Thomas, E.J. (2006). Classifying and interpreting threats to patient safety in hospitals: insights from aviation, Journal of Organizational Behavior 27(7), 919–940.
- 27 Uth, H.J. & Wiese, N. (2004). Central collecting and evaluating of major accidents and near-miss-events in the Federal Republic of Germany—results, experiences, perspectives, Journal of Hazardous Materials 111(1–3), 139–145.
- 28 Ebright, P.R., Urden, L., Patterson, E. & Chalko, B. (2004). Themes surrounding novice nurse near-miss and adverse-event situations, Journal of Nursing Administration 34(11), 531–538.
- 29 Weeks, A., Lavender, T., Nazziwa, E. & Mirembe, F. (2005). Personal accounts of ‘near-miss’ maternal mortalities in Kampala, Uganda, British Journal of Obstetrics and Gynaecology: An International Journal of Obstetrics and Gynaecology 112(9), 1302–1307.
- 30 Yacavone, D.W. (1993). Mishap trends and cause factors in naval aviation—a review of naval-safety—center data, 1986–90, Aviation Space and Environmental Medicine 64(5), 392–395.
- 31 Wiegmann, D.A. & Shappell, S.A. (1999). Human error and crew resource management failures in naval aviation mishaps: a review of US naval safety center data, 1990–96, Aviation Space and Environmental Medicine 70(12), 1147–1151.
- 32 Dye, J. & van der Schaaf, T. (2002). PRISMA as a quality tool for promoting customer satisfaction in the telecommunications industry, Reliability Engineering and System Safety 75(3), 303–311.
- 33 Hall, J.L. (2003). Columbia and Challenger: organizational failure at NASA, Space Policy 19(4), 239–247.
- 34 Hallstrom, D. & Smith, V.K. (2005). Market responses to hurricanes, Journal of Environmental Economics and Management 50, 541–561.
- 35 Meel, A., Seider, W.D. & Oktem, U. (2007). Analysis of management actions, human behavior, and process reliability in chemical plants, Near-miss management system selection, Process Safety Progress (In Press) II.
- 36 Filippi, V., Brugha, R., Browne, E., Gohou, V., Bacci, A., Brouwere, V.de., Sahel, A., Goufodji, S., Alihonou, E., & Ronsmans, C. (2004). Obstetric audit in resource-poor settings: lesson from a multi-country project auditing ‘near miss’ obstetrical emergencies, Health Policy and Planning 19(1), 57–66.
- 37 Rosenthal, I., Kleindorfer, P.R. & Elliott, M.R. (2006). Predicting and confirming the effectiveness of systems for managing low-probability chemical process risks, Process Safety Progress 25(2), 135–155.
- 38 Kwon, H., Hyungjoon, Y. & Moon, I. (2006). Industrial applications of accident causation management system, Chemical Engineering Communications 193(8), 1024–1037.
- 39 Kaplan, S. (1990). On the inclusion of precursor and near miss events in quantitative risk assessments—a Bayesian point of view and a space-shuttle example, Reliability Engineering and System Safety 27(1), 103–115.
- 40 Yi, W. & Bier, V.M. (1998). An application of copulas to accident precursor analysis, Management Science 44(12), S257–S270.
- 41 Meel, A. & Seider, W.D. (2006). Plant-specific dynamic failure assessment using Bayesian theory, Chemical Engineering Science 61, 7036–7056.
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