Measures for Predictors of Innovation Adoption

Abstract

Building on a narrative synthesis of adoption theories by Wisdom et al. (2013), this review identifies 118 measures associated with the 27 adoption predictors in the synthesis. The distribution of measures is uneven across the predictors and predictors vary in modifiability. Multiple dimensions and definitions of predictors further complicate measurement efforts. For state policymakers and researchers, more effective and integrated measurement can advance the adoption of complex innovations such as evidence-based practices.

This is a preview of subscription content, access via your institution.

Fig. 1

References

  1. Aarons, G. A. (2006). Transformational and transactional leadership: Association with attitudes toward evidence-based practice. Psychiatric Services, 57(8), 1162–1169. doi:10.1176/appi.ps.57.8.1162.

    PubMed Central  Article  PubMed  Google Scholar 

  2. Aarons, G. A., Hurlburt, M., & Horwitz, S. (2011). Advancing a conceptual model of evidence-based practice implementation in public service sectors. Administration and Policy in Mental Health and Mental Health Services Research, 38(1), 4–23. doi:10.1007/s10488-010-0327-7.

    PubMed Central  Article  PubMed  Google Scholar 

  3. Aarons, G. A., & Sawitzky, A. C. (2006). Organizational culture and climate and mental health provider attitudes toward evidence-based practice. Psychological Services, 3(1), 61–72. doi:10.1037/1541-1559.3.1.61.

    PubMed Central  Article  PubMed  Google Scholar 

  4. Aarons, G. A., Wells, R. S., Zagursky, K., Fettes, D. L., & Palinkas, L. A. (2009). Implementing evidence-based practice in community mental health agencies: A multiple stakeholder analysis. American Journal of Public Health, 99(11), 2087–2095. doi:10.2105/ajph.2009.161711.

    PubMed Central  Article  PubMed  Google Scholar 

  5. Bartholomew, N. G., Joe, G. W., Rowan-Szal, G. A., & Simpson, D. D. (2007). Counselor assessments of training and adoption barriers. Journal of Substance Abuse Treatment, 33(2), 193–199. doi:10.1016/j.jsat.2007.01.005.

    PubMed Central  Article  PubMed  Google Scholar 

  6. Bass, B. M., Avolio, B. J., & Atwater, L. (1996). The transformational and transactional leadership of men and women. Applied Psychology, 45(1), 5–34. doi:10.1111/j.1464-0597.1996.tb00847.x.

    Article  Google Scholar 

  7. Burns, L. R., & Wholey, D. R. (1993). Adoption and abandonment of matrix management programs: Effects of organizational characteristics and interorganizational networks. Academy of Management Journal, 36(1), 106–138.

    Article  CAS  PubMed  Google Scholar 

  8. Chamberlain, P., Brown, C. H., & Saldana, L. (2011). Observational measure of implementation progress in community based settings: The Stages of implementation completion (SIC). Implementation Science,. doi:10.1186/1748-5908-6-116.

    Google Scholar 

  9. Chaudoir, S. R., Dugan, A. G., & Barr, C. H. (2013). Measuring factors affecting implementation of health innovations: A systematic review of structural, organizational, provider, patient, and innovation level measures. Implementation Science, 8(1), 22. doi:10.1186/1748-5908-8-22.

    PubMed Central  Article  PubMed  Google Scholar 

  10. Cheung, D., Hattie, J., & Ng, D. (2001). Reexamining the stages of concern questionnaire: A test of alternative models. The Journal of Educational Research, 94(4), 226–236.

    Article  Google Scholar 

  11. Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity—A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.

    Article  Google Scholar 

  12. Comer, J. S., & Barlow, D. H. (2013). The occasional case against broad dissemination and implementation: Retaining a role for specialty care in the delivery of psychological treatments. American Psychologist,. doi:10.1037/a0033582.

    PubMed Central  PubMed  Google Scholar 

  13. Cooke, R. A., & Lafferty, J. C. (1994). Organizational culture inventory. Plymouth: Human Synergistics International.

    Google Scholar 

  14. Damanpour, F., & Schneider, M. (2009). Characteristics of innovation and innovation adoption in public organizations: Assessing the role of managers. Journal of Public Administration Research and Theory, 19(3), 495–522. doi:10.1093/jopart/mun021.

    Article  Google Scholar 

  15. Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009). Fostering implementation of health services research findings into practice: A consolidated framework for advancing implementation science. Implementation Science,. doi:10.1186/1748-5908-4-50.

    PubMed Central  PubMed  Google Scholar 

  16. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  17. Dirksen, C. D., Ament, A. H., & Go, P. M. N. (1996). Diffusion of six surgical endoscopic procedures in the Netherlands. Stimulating and restraining factors. Health Policy, 37(2), 91–104. doi:10.1016/s0168-8510(96)90054-8.

    Article  CAS  PubMed  Google Scholar 

  18. Ducharme, L. J., Knudsen, H. K., Roman, P. M., & Johnson, J. A. (2007). Innovation adoption in substance abuse treatment: Exposure, trialability, and the clinical trials network. Journal of Substance Abuse Treatment, 32(4), 321–329. doi:10.1016/j.jsat.2006.05.021.

    PubMed Central  Article  PubMed  Google Scholar 

  19. Edwards, J. R., Knight, D. K., Broome, K. M., & Flynn, P. M. (2010). The development and validation of a transformational leadership survey for substance use treatment programs. Substance Use and Misuse, 45(9), 1279–1302. doi:10.3109/10826081003682834.

    PubMed Central  Article  PubMed  Google Scholar 

  20. Feldstein, A. C., & Glasgow, R. E. (2008). A practical, robust implementation and sustainability model (PRISM) for integrating research findings into practice. Joint Commission Journal on Quality and Patient Safety, 34(4), 228–243.

    PubMed  Google Scholar 

  21. Finnerty, M., Leckman-Westin, E., Kealey, E., Wisdom, J. P., Olin, S., Horwitz, S., & Hoagwood, K. (2012). Impact of state incentives on mental health agency decisions to participate in a large state CQI initiative. Paper presented at the 5th Annual NIH Conference on the Science of Dissemination and Implementation, Bethesda, MD.

  22. Finnerty, M., Rapp, C., Bond, G., Lynde, D., Ganju, V., & Goldman, H. (2009). The state health authority yardstick (SHAY). Community Mental Health Journal, 45(3), 228–236. doi:10.1007/s10597-009-9181-z.

    Article  PubMed  Google Scholar 

  23. Fitzgerald, L., Ferlie, E., Wood, M., & Hawkins, C. (2002). Interlocking interactions, the diffusion of innovations in health care. Human Relations, 55(12), 1429–1449. doi:10.1177/001872602128782213.

    Article  Google Scholar 

  24. Fixsen, D. L., Naoom, S. F., Blase, K. A., Friedman, R. M., & Wallace, F. (2005). Implementation research: A synthesis of the literature. Tampa, FL: University of South Florida, Louis de la Parte Florida Mental Health Institute, The National Implementation Research Network.

  25. Flynn, P. M., Broome, K. M., Beaston-Blaakman, A., Knight, D. K., Horgan, C. M., & Shepard, D. S. (2009). Treatment Cost Analysis Tool (TCAT) for estimating costs of outpatient treatment services. Drug and Alcohol Dependence, 100(1–2), 47–53. doi:10.1016/j.drugalcdep.2008.08.015.

    PubMed Central  Article  PubMed  Google Scholar 

  26. Fujimoto, K., Valente, T. W., & Pentz, M. A. (2009). Network structural influences on the adoption of evidence-based prevention in communities. Journal of Community Psychology, 37(7), 830–845. doi:10.1002/Jcop.20333.

    Article  Google Scholar 

  27. Ganju, V. (2003). Implementation of evidence-based practices in state mental health systems: Implications for research and effectiveness studies. Schizophrenia Bulletin, 29(1), 125–131.

    Article  PubMed  Google Scholar 

  28. Gatignon, H., & Robertson, T. S. (1989). Technology diffusion: An empirical test of competitive effects. The Journal of Marketing, 53(1), 35–49.

    Article  Google Scholar 

  29. Gioia, D., & Dziadosz, G. (2008). Adoption of evidence-based practices in community mental health: A mixed-method study of practitioner experience. Community Mental Health Journal, 44(5), 347–357. doi:10.1007/s10597-008-9136-9.

    Article  PubMed  Google Scholar 

  30. Glisson, C., Landsverk, J., Schoenwald, S., Kelleher, K., Hoagwood, K. E., Mayberg, S., et al. (2008). Assessing the organizational social context (OSC) of mental health services: Implications for research and practice. Administration and Policy in Mental Health, 35(1–2), 98–113. doi:10.1007/s10488-007-0148-5.

    Article  PubMed  Google Scholar 

  31. Glisson, C., & Schoenwald, S. K. (2005). The ARC organizational and community intervention strategy for implementing evidence-based children’s mental health treatments. Ment Health Serv Res, 7(4), 243–259. doi:10.1007/s11020-005-7456-1.

    Article  PubMed  Google Scholar 

  32. Haug, N. A., Shopshire, M., Tajima, B., Gruber, V., & Guydish, J. (2008). Adoption of evidence-based practices among substance abuse treatment providers. Journal of Drug Education, 38(2), 181–192. doi:10.2190/De.38.2.F.

    PubMed Central  Article  PubMed  Google Scholar 

  33. Holt, D. T., Armenakis, A. A., Feild, H. S., & Harris, S. G. (2007). Readiness for organizational change: The systematic development of a scale. Journal of Applied Behavioral Science, 43(2), 232–255. doi:10.1177/0021886306295295.

    Google Scholar 

  34. Igbaria, M. (1993). User acceptance of microcomputer technology: An empirical test. Omega, 21(1), 73–90. doi:10.1016/0305-0483(93)90040-r.

    Article  Google Scholar 

  35. Ingersoll, G. L., Kirsch, J. C., Merk, S. E., & Lightfoot, J. (2000). Relationship of organizational culture and readiness for change to employee commitment to the organization. Journal of Nursing Administration, 30(1), 11–20.

    Article  CAS  PubMed  Google Scholar 

  36. Judge, T. A., Thoresen, C. J., Pucik, V., & Welbourne, T. M. (1999). Managerial coping with organizational change: A dispositional perspective. Journal of Applied Psychology, 84(1), 107–122. doi:10.1037/0021-9010.84.1.107.

    Article  Google Scholar 

  37. Knudsen, H. K., & Abraham, A. J. (2012). Perceptions of the state policy environment and adoption of medications in the treatment of substance use disorders. Psychiatric Services, 63(1), 19–25.

    PubMed Central  Article  PubMed  Google Scholar 

  38. Knudsen, H. K., & Roman, P. M. (2004). Modeling the use of innovations in private treatment organizations: The role of absorptive capacity. Journal of Substance Abuse Treatment, 26(1), 51–59. doi:10.1016/s0740-5472(03)00158-2.

    Article  Google Scholar 

  39. Kraut, R. E., Rice, R. E., Cool, C., & Fish, R. S. (1998). Varieties of social influence: The role of utility and norms in the success of a new communication medium. Organization Science, 9(4), 437–453.

    Article  Google Scholar 

  40. Lehman, W. E. K., Simpson, D. D., Knight, D. K., & Flynn, P. M. (2011). Integration of treatment innovation planning and implementation: Strategic process models and organizational challenges. Psychology of Addictive Behaviors, 25(2), 252–261. doi:10.1037/a0022682.

    PubMed Central  Article  PubMed  Google Scholar 

  41. Leonard-Barton, D., & Deschamps, I. (1988). Managerial influence in the implementation of new technology. Management Science, 34(10), 1252–1265.

    Article  Google Scholar 

  42. Lind, M. R., & Zmud, R. W. (1991). The influence of a convergence in understanding between technology providers and users on information technology innovativeness. Organization Science, 2(2), 195–217.

    Article  Google Scholar 

  43. McConnell, K. J., Hoffman, K. A., Quanbeck, A., & McCarty, D. (2009). Management practices in substance abuse treatment programs. Journal of Substance Abuse Treatment, 37(1), 79–89. doi:10.1016/j.jsat.2008.11.002.

    PubMed Central  Article  PubMed  Google Scholar 

  44. McHugh, R. K., Otto, M. W., Barlow, D. H., Gorman, J. M., Shear, M. K., & Woods, S. W. (2007). Cost-efficacy of individual and combined treatments for panic disorder. Journal of Clinical Psychiatry, 68(7), 1038–1044.

    Article  PubMed  Google Scholar 

  45. Meyer, A. D., & Goes, J. B. (1988). Organizational assimilation of innovations - A multilevel contextual analysis. Academy of Management Journal, 31(4), 897–923.

    Article  Google Scholar 

  46. Miller, R. L. (2001). Innovation in HIV prevention: Organizational and intervention characteristics affecting program adoption. American Journal of Community Psychology, 29(4), 621–647.

    Article  CAS  PubMed  Google Scholar 

  47. Moos, R. H. (1981). Work Environment Scale manual. Palo Alto: Consulting Psychologists Press.

    Google Scholar 

  48. Moos, R. H., & Moos, B. S. (1998). The staff workplace and the quality and outcome of substance abuse treatment. Journal of Studies on Alcohol, 59(1), 43–51.

    Article  CAS  PubMed  Google Scholar 

  49. National Cancer Institute. (2013). Grid-enabled measure database. Measures. https://www.gem-beta.org/public/Home.aspx?cat=0. Retrieved January 3, 2014.

  50. O’Reilly, C. A., Chatman, J., & Caldwell, D. F. (1991). People and organizational culture: A profile comparison approach to assessing person-organization fit. Academy of Management Journal, 34(3), 487–516. doi:10.2307/256404.

    Article  Google Scholar 

  51. Panzano, P. C., & Roth, D. (2006). The decision to adopt evidence-based and other innovative mental health practices: Risky business? Psychiatric Services, 57(8), 1153–1161. doi:10.1176/appi.ps.57.8.1153.

    Article  PubMed  Google Scholar 

  52. Patient Protection and Affordable Care Act of 2010, Pub. L. No. 111-148, 124 Stat. 119–1205. (2010).

  53. Pawson, R., Greenhalgh, T., Harvey, G., & Walshe, K. (2005). Realist review: A new method of systematic review designed for complex policy interventions. Journal of Health Services Research and Policy, 10(Suppl 1), 21–34. doi:10.1258/1355819054308530.

    Article  PubMed  Google Scholar 

  54. Peltier, J. W., Schibrowsky, J. A., & Zhao, Y. S. (2009). Understanding the antecedents to the adoption of CRM technology by small retailers entrepreneurs vs owner-managers. International Small Business Journal, 27(3), 307–336. doi:10.1177/0266242609102276.

    Article  Google Scholar 

  55. Proctor, E. K., & Brownson, R. C. (2012). Measurment issues in dissemination and implementation research. In R. C. Brownson, G. A. Colditz, & E. K. Proctor (Eds.), Dissemination and implementation research in health: Translating science to practice (pp. 261–280). New York: Oxford University Press.

    Google Scholar 

  56. Proctor, E., Silmere, H., Raghavan, R., Hovmand, P., Aarons, G., Bunger, A., et al. (2011). Outcomes for implementation research: Conceptual distinctions, measurement challenges, and research agenda. Administration and Policy in Mental Health and Mental Health Services Research, 38(2), 65–76. doi:10.1007/s10488-010-0319-7.

    PubMed Central  Article  PubMed  Google Scholar 

  57. Rauktis, M. E., McCarthy, S., Krackhardt, D., & Cahalane, H. (2010). Innovation in child welfare: The adoption and implementation of Family Group Decision Making in Pennsylvania. Children and Youth Services Review, 32(5), 732–739. doi:10.1016/j.childyouth.2010.01.010.

    Article  Google Scholar 

  58. Ravichandran, T. (2000). Swiftness and intensity of administrative innovation adoption: An empirical study of TQM in information systems. Decision Sciences, 31(3), 691–724. doi:10.1111/j.1540-5915.2000.tb00939.x.

    Article  Google Scholar 

  59. Richardson, J. W. (2011). Technology adoption in Cambodia: Measuring factors impacting adoption rates. Journal of International Development, 23(5), 697–710. doi:10.1002/Jid.1661.

    Article  Google Scholar 

  60. Ritzwoller, D. P., Sukhanova, A., Gaglio, B., & Glasgow, R. E. (2009). Costing behavioral interventions: A practical guide to enhance translation. Annals of Behavioral Medicine, 37(2), 218–227. doi:10.1007/s12160-009-9088-5.

    Article  PubMed  Google Scholar 

  61. Saldana, L., Chamberlain, P., Bradford, W. D., Campbell, M., & Landsverk, J. (2013). The cost of implementing new strategies (COINS): A method for mapping implementation resources using the Stages of Implementation Completion. Children and Youth Services Review. doi:10.1016/j.childyouth.2013.10.006.

  62. Savicki, V., & Cooley, E. (1987). The relationship of work environment and client contact to burnout in mental health professionals. Journal of Counseling & Development, 65(5), 249.

    Article  Google Scholar 

  63. Schoenwald, S. K., & Hoagwood, K. (2001). Effectiveness, transportability, and dissemination of interventions: what matters when? Psychiatric Services, 52(9), 1190–1197.

    Article  CAS  PubMed  Google Scholar 

  64. Schoenwald, S. K., Sheidow, A. J., Letourneau, E. J., & Liao, J. G. (2003). Transportability of multisystemic therapy: Evidence for multilevel influences. Mental Health Services Research, 5(4), 223–239. doi:10.1023/a:1026229102151.

    Article  PubMed  Google Scholar 

  65. Seattle Implementation Research Collaborative. (2013). Instrument Review Project: A comprehensive review of dissemination and implementation science instruments. http://www.seattleimplementation.org/sirc-projects/sirc-instrument-project/. Retrieved January 3, 2014.

  66. Shortell, S. M., Marsteller, J. A., Lin, M., Pearson, M. L., Wu, S.-Y., Mendel, P., et al. (2004). The role of perceived team effectiveness in improving chronic illness care. Medical Care, 42(11), 1040–1048.

    Article  PubMed  Google Scholar 

  67. Sieveking, N., Bellet, W., & Marston, R. C. (1993). Employees’ views of their work experience in private hospital. Health Services Management Research, 6(2), 129–138.

    CAS  PubMed  Google Scholar 

  68. Simpson, D. D., Joe, G. W., & Rowan-Szal, G. A. (2007). Linking the elements of change: Program and client responses to innovation. Journal of Substance Abuse Treatment, 33(2), 201–209. doi:10.1016/j.jsat.2006.12.022.

    PubMed Central  Article  PubMed  Google Scholar 

  69. Stamatakis, K., Norton, W., Stirman, S., Melvin, C., & Brownson, R. (2013). Developing the next generation of dissemination and implementation researchers: Insights from initial trainees. Implementation Science, 8(29). doi:10.1186/1748-5908-8-29.

  70. Steckler, A., Goodman, R. M., McLeroy, K. R., Davis, S., & Koch, G. (1992). Measuring the diffusion of innovative health promotion programs. American Journal of Health Promotion, 6(3), 214–224.

    Article  CAS  PubMed  Google Scholar 

  71. Stevenson, K., & Baker, R. (2005). Investigating organisational culture in primary care. Quality in Primary Care, 13(4), 191–200.

    Google Scholar 

  72. Talukder, M., & Quazi, A. (2011). The impact of social influence on individuals’ adoption of innovation. Journal of Organizational Computing and Electronic Commerce, 21(2), 111–135. doi:10.1080/10919392.2011.564483.

    Article  Google Scholar 

  73. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. Management Information Systems Quarterly, 15(1), 125–143.

    Article  Google Scholar 

  74. Valente, T. W. (1996). Social network thresholds in the diffusion of innovations. Social Networks, 18(1), 69–89. doi:10.1016/0378-8733(95)00256-1.

    Article  Google Scholar 

  75. Valente, T. W. (2005). Network models and methods for studying the diffusion of innovations. In P. J. Carrington, J. Scott, & S. Wasserman (Eds.), Models and methods in social network analysis. Cambridge: Cambridge University Press.

    Google Scholar 

  76. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  77. Wisdom, J. P., Chor, K. H. B., Hoagwood, K. E., & Horwitz, S. M. (2013). Innovation adoption: A review of theories and constructs. Administration and Policy in Mental Health and Mental Health Services Research,. doi:10.1007/s10488-013-0486-4. (Advance online publication).

    PubMed Central  PubMed  Google Scholar 

  78. Yetton, P., Sharma, R., & Southon, G. (1999). Successful IS innovation: The contingent contributions of innovation characteristics and implementation process. Journal of Information Technology, 14(1), 53–68. doi:10.1080/026839699344746.

    Article  Google Scholar 

  79. Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203. doi:10.5465/amr.2002.6587995.

    Google Scholar 

Download references

Acknowledgments

This study was funded by the National Institute of Mental Health (P30 MH090322: Advanced Center for State Research to Scale up EBPs for Children, PI: Hoagwood).

Author information

Affiliations

Authors

Corresponding author

Correspondence to Ka Ho Brian Chor.

Appendices

Appendices

Appendix 1 Descriptions of 27 adoption predictors (Wisdom et al. 2013)

Appendix 2: Databases and Search Strategy (Wisdom et al. 2013)

Ovid Medline, PsycINFO, and Web of Science were the major electronic databases used for Medical Subject Heading (MeSH) and article keyword searches.

  1. 1.

    Ovid Medline provided the first and primary source of literature. First, exploratory searches were conducted using these individual MeSH terms:

    • DIFFUSION OF INNOVATION (13,774 hits);

    • EVIDENCE-BASED PRACTICE (51,940 hits);

    • EVIDENCE-BASED MEDICINE (47,305 hits) a subset of EVIDENCE-BASED PRACTICE;

    • MODELS, THEORETICAL (1,120,350 hits).

Next, the following MeSH terms were combined with the AND Boolean operator:

  • DIFFUSION OF INNOVATION AND EVIDENCE-BASED PRACTICE (1,781 hits); DIFFUSION OF INNOVATION AND MODELS, THEORETICAL (1,299 hits);

  • DIFFUSION OF INNOVATION AND EVIDENCE-BASED PRACTICE (1,397 hits).

Considering theoretical frameworks are the focus of this review, further combinations of the following MeSH terms were conducted using the AND Boolean operator:

  • DIFFUSION OF INNOVATION AND EVIDENCE-BASED PRACTICE AND MODELS, THEORETICAL (320 hits);

  • DIFFUSION OF INNOVATION AND EVIDENCE-BASED MEDICINE AND MODELS, THEORETICAL (237 hits).

Since EVIDENCE-BASED MEDICINE is a subset of EVIDENCE-BASED PRACTICE in the MeSH grouping, the search narrowed down to DIFFUSION OF INNOVATION AND EVIDENCE-BASED PRACTICE AND MODELS, THEORETICAL.

  1. 2.

    We used PsycInfo to supplement the original pool of literature using a similar search logic of MeSH:

    • ADOPTION (15,535 hits);

    • EVIDENCE BASED PRACTICE (8,940 hits);

    • INNOVATION (3,995 hits);

    • MODELS (65,923 hits);

    • THEORIES (91,148 hits).

Since ADOPTION as a MeSH in PsycInfo is quite broad and often refers to the child welfare taxonomy, we used the AND Boolean operator for the following combinations:

  • ADOPTION AND EVIDENCE BASED PRACTICE (291 hits);

  • ADOPTION AND INNOVATION (339 hits).

Next, to add a theoretical focus to this pool, we used the AND Boolean operator for the following combinations:

  • ADOPTION AND EVIDENCE BASED PRACTICE AND INNOVATION (10 hits);

  • ADOPTION AND EVIDENCE BASED PRACTICE AND MODELS (11 hits);

  • ADOPTION AND EVIDENCE BASED PRACTICE AND THEORIES (9 hits);

  • ADOPTION AND INNOVATION AND MODELS (18 hits);

  • ADOPTION AND INNOVATION AND THEORIES (6 hits).

All articles from these last searches in PsycInfo were screened for overlaps.

  1. 3.

    To gain a broader perspective on other fields, we used Web of Science to expand the pool of literature obtained from Ovid Medline and PsycInfo, using the following topic searches:

    • ADOPTION (45,440 hits);

    • DIFFUSION (425,401 hits);

    • EVIDENCE-BASE (47,294 hits);

    • INNOVATION (76,818 hits);

    • MODEL (3,894,846 hits);

    • THEORY (1,172,347).

Given these large yields, we used the Boolean operator AND to combine the following topic searches:

  • ADOPTION AND EVIDENCE-BASE (899 hits);

  • ADOPTION AND INNOVATION (4,209 hits);

  • ADOPTION AND DIFFUSION (3,059 hits);

  • ADOPTION AND EVIDENCE-BASE AND INNOVATION (135 hits).

To narrow the focus on theoretical models, further combinations using the Boolean operator AND were used:

  • ADOPTION AND INNOVATION AND MODEL (48 hits);

  • ADOPTION AND INNOVATION AND THEORY (194 hits);

  • ADOPTION AND EVIDENCE-BASE AND MODEL (23 hits);

  • ADOPTION AND EVIDENCE-BASE AND THEORY (80 hits);

  • ADOPTION AND INNOVATION AND MODEL AND THEORY (439 hits);

  • ADOPTION AND EVIDENCE-BASE AND MODEL AND THEORY (42 hits);

The last step searches from these three databases formed the preliminary pool of literature. All articles were searched for overlaps within and between databases, which yielded 332 unique hits. To systematically zero into specific adoption theories and their measures, we screened article keywords so at least one of the following keywords was included:

  • ADOPTION;

  • ADOPTION OF INNOVATION;

  • CONCEPTUAL MODEL;

  • DIFFUSION;

  • EVIDENCE-BASED INTERVENTIONS;

  • EVIDENCE-BASED PRACTICE;

  • FRAMEWORK;

  • INNOVATION;

  • THEORY.

In addition, article titles were screened so that at least one of the following words was included:

  • ADOPTION;

  • DIFFUSION;

  • DIFFUSION OF INNOVATION;

  • DIFFUSION OF INNOVATIONS;

  • EVIDENCE-BASED INTERVENTIONS;

  • EVIDENCE-BASED MENTAL HEALTH TREATMENTS;

  • EVIDENCE-BASED PRACTICE;

  • FRAMEWORK;

  • INNOVATION;

  • INNOVATION ADOPTION;

  • MODEL;

  • MULTILEVEL;

  • RESEARCH-BASED PRACTICE;

  • THEORETICAL MODELS.

Finally, we screened the actual titles of the adoption theories within the texts of the articles so that at least one the following words were included:

  • ADOPTION;

  • DIFFUSION;

  • EVIDENCE-BASED;

  • EVIDENCE-BASED PRACTICE;

  • FRAMEWORK;

  • INNOVATION;

  • MODEL.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Chor, K.H.B., Wisdom, J.P., Olin, SC.S. et al. Measures for Predictors of Innovation Adoption. Adm Policy Ment Health 42, 545–573 (2015). https://doi.org/10.1007/s10488-014-0551-7

Download citation

Keywords

  • Measure
  • Adoption
  • Evidence-based treatments and practices
  • Organization
  • Innovation