Nursing research programs are important innovationsfor health services organizations (HSOs). Evidence supports the positive impact that successful programs have on both clinical practice and patient outcomes. In the current era of scarce health care resources, decision makers must be able to accurately judge HSO readiness for nursing research programs to facilitate their success. Judging innovation readiness is an important and complex processfor decision makers. An Innovation Readiness Scale (IRS) was developed from research-based HSO contextual cues identified by nurse researchers as supportive of successful hospital-based nursing research programs. The IRS provides decision makers with a measure by which to judge HSO readiness for nursing research programs. Psychometric results are reported from a pilot and actual test of the IRS in two urban acute care settings involved in nursing research program innovation.
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References
1.
Alexander, J. W. , & Mark, B. (1990). Technology and structure of nursing organizations. Nursing & Health Care, 11(4), 195-199.
2.
Alexander, J. W. , & Randolph, W. A. (1985). The fit between technology and structure as a predictor of performance in nursing subunits. Academy of Management Journal, 28(4), 844-859.
3.
Becker, M. H. (1970). Factors affecting diffusion of innovations among health professionals. American Journal of Public Health, 60(2), 294-304.
4.
Biddle, M. H. , & Feingold, M. H. (1991). Team mix can smooth information system acquisitions. Healthcare Financial Management, 45(6), 68-76.
5.
Brett, J. L. (1986). Organizational integrative mechanisms and adoption of innovations by nurses. Dissertation Abstracts International, 47(6), 2368B-2368B. (University Microfilms No. 8614770)
6.
Brett, J. L. (1989). Organizational integrative mechanisms and adoption of innovations by nurses. Nursing Research, 38(2), 105-110.
7.
Campbell, D. T. , & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81-105.
8.
Carmines, E. G. , & Zeller, R. A. (1979). Reliability and validity assessment. Beverly Hills, CA: Sage.
9.
Ciotti, V. , & Sydor, K. (1990, June). How to improve information system installations. Health-care Financial Management, 27.
10.
Coleman, J. S. , Katz, E., &Menzel, H. (1966). Medical innovation: A diffusion study. New York: Bobbs-Merrill.
11.
Cooksey, R. W. (1996). Judgment analysis: Theory, methods, and applications. San Diego, CA: Academic Press.
12.
Damanpour, F. (1988). Innovation type, radicalness, and the adoption process. Communication Research, 15(5), 545-567.
13.
DeVellis, R. F (1991). Scale development: Theory and applications. Newbury Park, CA: Sage.
14.
Elstein, A. , & Bordage, G. (1979). Psychology of clinical reasoning. In G. Stone, F. Cohen, & N. Adler (Eds.), Health psychology (pp. 333-367). San Francisco: Jossey-Bass.
15.
Engel, J. , Wigton, R., La Duca, A., & Blacklow, R. (1990). A social judgment theory perspective on clinical problem solving. Evaluation & the Health Professions, 13(1), 63-78.
16.
Ferketich, S. (1990). Focus on psychometrics: Internal consistency estimates of reliability. Research in Nursing & Health, 13, 437-440.
17.
Ferketich, S. , & Muller, M. (1990). Factor analysis revisited. Nursing Research, 39(1), 59-62.
18.
Fineberg, H. V. , Gabel, R. A., & Sosman, M. B. (1978). Acquisition and application of new medical knowledge by anesthesiologists: Three recent examples. Anesthesiology, 48(6), 430-436.
19.
Geertsma, R. H. , Parker, R. C., & Whitbourne, S. K. (1982). How physicians view the process of change in their practice behavior. Journal of Medical Education, 57, 752-761.
20.
Hammond, K. R. , McClelland, G. H., & Mumpower, J. (1980). Human judgment and decision making. New York: Praeger.
21.
Horsley, J. , & Crane, J. (1986). Factors associated with innovation in nursing practice. Family & Community Health, 9(1), 1-11.
22.
Kaluzny, A. D. (1974). Innovation in health services: Theoretical framework and review of research. Health Services Research, 9(2), 101-120.
23.
Kaluzny, A. D. , Veney, J. E., & Gentry, J. T. (1974). Innovation of health services: A comparative study of hospitals and health departments. In A. D. Kaluzny, J. T. Gentry, & J. E. Veney (Eds.), Innovations in health care organizations: An issue in organizational change (pp. 78-110). Chapel Hill: University of North Carolina, Department of Health Administration, School of Public Health.
24.
Kimberly, J. R. (1978). Hospital adoption of innovation: The role of integration into external informational environments. Journal of Health & Social Behavior, 19, 361-373.
25.
Kimberly, J. R. , & Evanisko, M. J. (1981). Organizational innovation: The influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations. Academy of Management Journal, 24(4), 689-713.
26.
Lincoln, Y S. (Ed.). (1985). Organizational theory and inquiry: The paradigm revolution. Newbury Park, CA: Sage.
27.
Lorenzi, N. M. , & Riley, R. T. (1995). Organizational aspects of health informatics: Managing technological change. New York: Springer-Verlag.
28.
Manfredi, M. J. , & Peterson, D. M. (1989, March). Software: A team approach to investigating the options. Healthcare Financial Management, 68.
29.
Manion, J. (1993). Chaos or transformation? Managing innovation. Journal of Nursing Administration, 23(5), 41-48.
30.
McKinney, M. M. , Kaluzny, A. D., & Zuckerman, H. S. (1991). Paths and pacemakers: Innovation diffusion networks in multihospital systems and alliances. Health Care Management Review, 16(1), 17-23.
31.
Mowday, R. , Steers, R., & Porter, L. (1979). The measurement of organizational commitment. Journal of Vocational Behavior, 14, 224-247.
32.
Munro, B. H. , & Page, E. B. (1993). Statistical methods for health care research (2nd ed.). Philadelphia: J. B. Lippincott.
33.
Nathanson, C. A. , & Morlock, L. L. (1980). Control structure, values, and innovation: A comparative study of hospitals. Journal of Health and Social Behavior, 21, 315-333.
34.
Norbeck, J. S. (1985). What constitutes a publishable report of instrument development?Nursing Research, 34, 380-382.
35.
Norugis, M. J. (1990). SPSS' base system users guide. Chicago: Statistical Package for the Social Sciences.
36.
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
37.
Rakich, J. S. , Longest, B. B., & Darr, K. (1992). Managing health services organizations (3rd ed.). Baltimore: Health Professions Press.
38.
Rogers, B. (1992). Research utilization. AAOHN Journal, 40(1), 41-41.
39.
Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). New York: Free Press.
40.
Romano, C. A. (1990). Diffusion of technology innovation. Advances in Nursing Science, 13(2), 11-21.
41.
Shortell, S. M. , & Hughes, E. (1988). The effects of regulation, competition, and ownership on mortality rates among hospital inpatients. New England Journal of Medicine, 318(17), 1100-1107.
42.
Snyder-Halpern, R. (1991). Attributes of service-based nursing research programs useful for decision-making. Nursing Administration Quarterly, 15(4), 82-84.
43.
Snyder-Halpern, R. (1994). An assessment taxonomy for designing nursing research programs. Western Journal of Nursing Research, 16(1), 80-92.
44.
Snyder-Halpem, R. (1996). Health care system innovation: A model for practice. Advanced Practice Nursing Quarterly, 1(4), 12-19.
45.
Stewart, T. A. (1994, February 7). Rate your readiness to change. Fortune, 106-106, 108-108, 110-110.
46.
Tinsley, H.E.A. , & Tinsley, D. J. (1987). Uses of factor analysis in counseling psychology research. Journal of Counseling Psychology, 34(4), 414-424.
47.
Urden, L. D. (1989). A model of registered nurse intent to stay in Southern California children's hospitals. Unpublished doctoral dissertation, University of San Diego, California.
48.
Waltz, C. F. , Strickland, O. L., & Lenz, E. R. (1991). Measurement in nursing research (2nd ed.). Philadelphia: F. A. Davis.
49.
Wewers, M. E. , & Lowe, N. K. (1990). A critical review of visual analogue scales in the measurement of clinical phenomena. Research in Nursing & Health, 13, 227-236.
