The development and use of a model to predict sustainability of change in healthcare settings

Innovations adopted through organizational change initiatives are often not sustained leading to diminished quality, productivity, and consumer satisfaction. Research explaining variance in the use of adopted innovations in health care settings is sparse, suggesting the need for a theoretical model to guide research and practice. In this article, we describe the development of a hybrid conjoint decision theoretic model designed to predict the sustainability of organizational change in health care settings. An initial test of the model's predictive validity using expert scored hypothetic profiles resulted in an r-squared value of .77. The test of this model offers a theoretical base for future research on the sustainability of change in health care settings.

[1]  Mary E. Graham,et al.  Consideration of the Incomplete Block Design for Policy-Capturing Research , 2001 .

[2]  Ray W. Cooksey,et al.  Judgment analysis : theory, methods, and applications , 1996 .

[3]  Lori J. Ducharme,et al.  Availability of Integrated Care for Co-occurring Substance Abuse and Psychiatric Conditions , 2006, Community Mental Health Journal.

[4]  G. Robert,et al.  Diffusion of innovations in service organizations: systematic review and recommendations. , 2004, The Milbank quarterly.

[5]  Barbara Wejnert.  Integrating models of diffusion of innovations: a Conceptual Framework. , 2002 .

[6]  T. F. Weaver,et al.  Evaluating Impacts from Noxious Facilities: Including Public Preferences in Current Siting Mechanisms , 1993 .

[7]  W. S. Connor,et al.  Fractional factorial experiment designs for factors at three levels , 1961 .

[8]  B. Druss,et al.  Transforming mental health care at the interface with general medicine: report for the presidents commission. , 2006, Psychiatric Services.

[9]  D H Gustafson,et al.  A Decision Theoretic Methodology for Seventy Index Development , 1986, Medical decision making : an international journal of the Society for Medical Decision Making.

[10]  Paul E. Green,et al.  A Hybrid Utility Estimation Model for Conjoint Analysis , 1981 .

[11]  Melissa Woodard Barringer,et al.  A Review and Analysis of the Policy-Capturing Methodology in Organizational Research: Guidelines for Research and Practice , 2002 .

[12]  Marvin Zelen,et al.  Fractional Factoral Experiment Design for Factors at Three Levels. , 1960 .

[13]  W. Edwards,et al.  Decision Analysis and Behavioral Research , 1986 .

[14]  Mark Wardman,et al.  A COMPARISON OF REVEALED PREFERENCE AND STATED PREFERENCE MODELS OF TRAVEL BEHAVIOUR , 1988 .

[15]  Jerry Wind,et al.  Courtyard by Marriott: Designing a Hotel Facility with Consumer-Based Marketing Models , 1989 .

[16]  Juan Carlos Bou-Llusar,et al.  A Model for Evaluating Organizational Competencies: An Application in the Context of a Quality Management Initiative , 2005, Decis. Sci..

[17]  Patrick Dawson,et al.  Organizational change : a processual approach , 1994 .

[18]  R J Sheldon,et al.  THE USE OF CONJOINT ANALYSIS IN TRANSPORT RESEARCH , 1982 .

[19]  Phyllis C. Panzano,et al.  The De-adoption of Innovative Mental Health Practices (IMHP): Why Organizations Choose not to Sustain an IMHP , 2008, Administration and Policy in Mental Health and Mental Health Services Research.

[20]  Bret R. Shaw,et al.  Development and Test of a Model to Predict Adherence to a Medical Regimen , 2001 .

[21]  David H Gustafson,et al.  Developing and testing a model to predict outcomes of organizational change. , 2003, Health services research.

[22]  D H Gustafson,et al.  Findings of innovation research applied to quality management principles for health care , 1995, Health care management review.

[23]  Ronald L. Jacobs,et al.  Institutionalizing organizational change through cascade training , 2002 .

[24]  Lynda Aiman-Smith,et al.  Conducting Studies of Decision Making in Organizational Contexts: A Tutorial for Policy-Capturing and Other Regression-Based Techniques , 2002 .

[25]  D. Gustafson,et al.  Predicting adolescent problem use of marijuana: development and testing of a Bayesian model. , 1994, The International journal of the addictions.

[26]  D. Simpson,et al.  Assessing organizational readiness for change. , 2002, Journal of substance abuse treatment.

[27]  T. Molfenter,et al.  Prospective Evaluation of a Bayesian Model to Predict Organizational Change , 2005, Health care management review.

[28]  James W. Fairfield-Sonn,et al.  The Awakening Giant: Continuity and Change in ICI. , 1987 .

[29]  Karen A. Blase,et al.  Implementation Research: A Synthesis of the , 2005 .

[30]  Ronald D. Anderson,et al.  Modeling the Impact of Organizational Change: A Bayesian Network Approach , 2001 .

[31]  K. Sivakumar,et al.  Implementation of industrial process innovations: factors, effects, and marketing implications , 1999 .

[32]  R. A. Reisner.  When a Turnaround STALLS , 2002 .

[33]  M. Ryan,et al.  A ROLE FOR CONJOINT ANALYSIS IN TECHNOLOGY ASSESSMENT IN HEALTH CARE? , 1999, International Journal of Technology Assessment in Health Care.

[34]  F. Damanpour.  Organizational Size and Innovation , 1992 .

[35]  R. E. McQuater,et al.  SUSTAINING CONTINUOUS IMPROVEMENT: WHAT ARE THE KEY ISSUES? , 1999 .

[36]  Julie Bynum,et al.  Regional variations in diagnostic practices. , 2010, The New England journal of medicine.

[37]  S. Shortell,et al.  Improving the quality of health care in the United Kingdom and the United States: a framework for change. , 2001, The Milbank quarterly.

[38]  N Freemantle,et al.  EUR-ASSESS Project Subgroup Report on Dissemination and Impact , 1997, International Journal of Technology Assessment in Health Care.

[39]  C. Roberts-Gray,et al.  A Bayesian model to predict the success of the implementation of health and education innovations in school-centered programs , 1999 .

[40]  N. Schillewaert,et al.  Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research , 2002 .

[41]  Charalabos Saridakis,et al.  A hybrid conjoint model for the identification of the UK supermarket choice determinants: an exploratory study , 2009 .

[42]  Joel Huber,et al.  Paired comparison and contingent valuation approaches to morbidity risk valuation , 1988 .

[43]  Chris Ham,et al.  Redesigning work processes in health care: lessons from the National Health Service. , 2003, The Milbank quarterly.

[44]  D. Buchanan,et al.  No Going Back: A Review of the Literature on Sustaining Organizational Change , 2005 .

[45]  D. Simpson.  A conceptual framework for transferring research to practice. , 2002, Journal of substance abuse treatment.