Abstract
One of the major elements of care quality provided by health care organizations is the reduction of medical errors. This study empirically examines the effect of leadership, organizational systems, and employee satisfaction with organizational support on medical error reduction. A set of hypotheses is tested based on data collected from 208 medical staff of hospitals with more than 300 beds in South Korea. Data were analyzed by confirmatory factor analysis and path analysis using SPSS 17.0 and Mplus 5.1. One of the major findings of this study was that medical error reduction could be achieved by effective leadership. Leadership and operational efficiency drive reduction in medical errors in the health care industry. The comparison between large- and small-sized quality assurance teams’ roles indicated that there was a significant difference in their effect on medical error reduction. The results of the study shed light on some practical implications for management professionals in hospitals.
Similar content being viewed by others
References
Agency for Healthcare Research and Quality (AHRQ) (2013) Findings and Lessons from the AHRQ Ambulatory Safety and Quality Program. AHRQ Publication, No. 13-0067
Alexander JA, Weiner BJ, Shortell SM, Baker LC, Becker MP (2006) The role of organizational infrastructure in implementation of hospitals’ quality improvement. Hosp Top 84:11–20
Anderson J (2002) Evaluation in health informatics: social network analysis. Comput Biol Med 32(3):179–193
André B, Ringdal G, Loge J, Rannestad T, Laerum H, Kaasa S (2008) Experiences with the implementation of computerized tools in health care units: a review article. Int J Hum-Comput Interact 24(8):753–775
Bates DW, Teich JM, Lee J, Seger D, Kuperman G, Ma’Luf N, Boyle D, Leape L (1999) The impact of computerized physician order entry on medication error prevention. J Am Med Inform Assoc 6(4):313–321
Black S, Porter LJ (1996) Identification of the critical factors of TQM. Decis Sci 27(1):1–21
Brown TA (2006) Confirmatory factor analysis for applied research. The Guilford Press, New York, pp 63–71
Callaly T, Minas H (2005) Reflections on clinician leadership and management in mental health. Australas Psychiatry 13(1):27–32
Carpenter D (2004) Capital and IT. Hosp Health Netw 78(5):7–9
Garrouste-Orgeas M, Philippart F, Bruel C, Max A, Lau N, Misset B (2012) Overview of medical errors and adverse events. Ann Intensive Care 2(2):1–9
Gnanlet A, Yayla-Kullu H (2013) Impact of national culture on the quality of information delivery in service. Serv Bus 8(1):135–169
Goldstein SM, Schweikhart SB (2002) Empirical support for the Baldrige Award framework in U.S. hospitals. Health Care Manag Rev 27(1):62–75
Harkness J (2011) Guidelines for best practice in cross-cultural surveys. Survey Research Center, Institute for Social Research, University of Michigan
Heskett JL, Thomas OJ, Loveman GW, Sasser WE, Schlesinger LA (1994) Putting the service-profit chain to work. Harvard Bus Rev 72:164–174
Heskett JL, Sasser WE, Schlesinger LA (1997) The service profit chain: how leading companies link profit and growth to loyalty, satisfaction, and value. The Free Press, New York
Institute of Medicine (2000) To err is human: building a safer health system. National Academy Press, Washington, DC
Kattara HS, Weheba D, El-Said O (2008) The impact of employee behaviour on customers’ service quality perceptions and overall satisfaction. Tour Hosp Res 8(4):309–323
Kazahaya G (2005) Harnessing technology to redesign labor cost management reports. Healthcare Financial Manag 59(4):94–100
Leape LL (1999) A systems analysis approach to medical error. J Eval Clin Pract 3(3):213–222
Leape L, Brennan T, Laird N, Lawthers A, Localio A, Barnes B, Hebert L, Newhouse J, Weiler P, Hiatt H (1991) The nature of adverse events in hospitalized patients: results of the harvard medical practice study II. New Engl J Med 324(6):377–384
Lee T (2006) Nurses’ perception of their documentation experience in a computerized nursing care planning system. J Clin Nurs 15(11):1376–1382
Lee DH (2012) Implementation of quality programs in health care organizations. Serv Bus 6(3):387–404
Lee DH, Lee SM, Schniederjans M (2011a) Medical error reduction: the effect of employee satisfaction with organizational support. Serv Ind J 31(8):1311–1325
Lee SM, Lee DH, Schniederjans M (2011b) Supply chain innovation and organizational performance in the healthcare industry. Int J Operat Prod Manag 31(11):213–222
Lee SM, Lee DH, Kang CY (2012) The impact of high-performance work system in the health care industry: employee reactions, service quality, customer satisfaction, and customer loyalty. Serv Ind J 32(2):17–36
Lee SM, Lee DH, Olson D (2013) Health-care quality management using the MBHCP excellence model. Total Qual Manag Bus Excell 24(2):119–137
Leung MY, Zhang H, Skitmore M (2008) Effects of organizational supports on the stress of construction estimation participants. J Constr Eng Manag 134(2):84–93
Li L, Benton WC (2006) Hospital technology and nurse staffing management decisions. J Operat Manag 24:676–691
McAdam R, Bannister A (2001) Business performance measurement and change management within a TQM framework. Int J Operat Prod Manag 21:88–107
McFadden KL, Henagan SC, Gowen CR III (2009) The patient safety chain: transformational leadership’s effect on patient safety culture, initiatives, and outcomes. Journal of Operations Management 27(5):390–404
Menachemi N, Ford EW, Beitsch LM, Brooks RG (2007) Incomplete HER adoption: late uptake of patient safety and cost control functions. Am J Med Qual 22(5):319–326
Meyer SM, Collier DA (2001) An empirical test of the causal relationships in the Baldrige health care pilot criteria. J Operat Manag 19:403–425
Mikulich V, Liu Y, Steinfeldt J, Schriger D (2001) Implementation of clinical guidelines through an electronic medical record: physician usage, satisfaction and assessment. Int J Med Informatics 63(3):169–178
Nunnally JC (1978) Psychometric theory, 2nd edn. McGraw-Hill, New York, pp 244–245
Pavlou PA, Fygenson M (2006) Understanding and prediction electronic commerce adoption: an extension of the theory of planned behavior. MIS Q 30(1):115–143
Perrow C (1984) Normal Accidents. Basic Books, New York
Radley DC, Wasserman MR, Olsho LE, Shoemaker SJ, Spranca MD, Bradshaw B (2013) Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems. Res ApplAm Med Inf Assoc. http://jamia.bmj.com/content/early/2013/01/27/amiajnl-2012-001241.full.pdf+html
Raposo ML, Alves HM, Duarte PA (2009) Dimensions of service quality and satisfaction in healthcare: a patient’s satisfaction index. Serv Bus 3(1):85–100
Reason J (2000) Human error: models and management. Br Med J 320:768–770
Singh H, Shrinidi M, Espadas D, Petersen N, Franklin V, Petersen L (2009) Prescription errors and outcomes related to inconsistent information transmitted through computerized order-entry: a prospective study. Arch Intern Med 169(10):982–989
Stock GN, McFadden KL, Gowen CR III (2007) Organizational culture, critical success factors, and the reduction of hospital errors. Int J Prod Econ 106:368–392
Wilson DD, Collier DA (2000) An empirical investigation of the Malcolm Baldrige National Award causal model. Decis Sci 31(2):361–390
Woolf SH, Kuzel AJ, Dovey SM, Phillips RL Jr (2004) A string of mistakes: the importance of cascade analysis in describing, counting, and preventing medical errors. Annf Family Med 2:317–326
Zineldin M, Zineldin J, Vasicheva V (2014) Approaches for reducing medical errors and increasing patient safety TRM, quality and 5 Qs method. TQM J 26(1):63–74
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lee, D., Hong, K.S. & Kim, N.Y. Effects of hospital leadership, organizational systems, and ESWOS on medical error reduction. Serv Bus 10, 159–177 (2016). https://doi.org/10.1007/s11628-014-0262-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11628-014-0262-x