Cited by 66Health Policy Implementation ScienceHealth Sciences Research and EducationHealth Education and Validation

Predicting implementation from organizational readiness for change: A study protocol

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Helfrich, Christian D, Blevins, Dean, Smith, Jeffrey L, Kelly, P Adam, Hogan, Timothy P, Hagedorn, Hildi, Dubbert, Patricia M, Sales, Anne E·2011·Implementation Science

Abstract

BACKGROUND: There is widespread interest in measuring organizational readiness to implement evidence-based practices in clinical care. However, there are a number of challenges to validating organizational measures, including inferential bias arising from the halo effect and method bias - two threats to validity that, while well-documented by organizational scholars, are often ignored in health services research. We describe a protocol to comprehensively assess the psychometric properties of a previously developed survey, the Organizational Readiness to Change Assessment. OBJECTIVES: Our objective is to conduct a comprehensive assessment of the psychometric properties of the Organizational Readiness to Change Assessment incorporating methods specifically to address threats from halo effect and method bias. METHODS AND DESIGN: We will conduct three sets of analyses using longitudinal, secondary data from four partner projects, each testing interventions to improve the implementation of an evidence-based clinical practice. Partner projects field the Organizational Readiness to Change Assessment at baseline (n = 208 respondents; 53 facilities), and prospectively assesses the degree to which the evidence-based practice is implemented. We will conduct predictive and concurrent validities using hierarchical linear modeling and multivariate regression, respectively. For predictive validity, the outcome is the change from baseline to follow-up in the use of the evidence-based practice. We will use intra-class correlations derived from hierarchical linear models to assess inter-rater reliability. Two partner projects will also field measures of job satisfaction for convergent and discriminant validity analyses, and will field Organizational Readiness to Change Assessment measures at follow-up for concurrent validity (n = 158 respondents; 33 facilities). Convergent and discriminant validities will test associations between organizational readiness and different aspects of job satisfaction: satisfaction with leadership, which should be highly correlated with readiness, versus satisfaction with salary, which should be less correlated with readiness. Content validity will be assessed using an expert panel and modified Delphi technique. DISCUSSION: We propose a comprehensive protocol for validating a survey instrument for assessing organizational readiness to change that specifically addresses key threats of bias related to halo effect, method bias and questions of construct validity that often go unexplored in research using measures of organizational constructs.

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  • Organizational readiness is positively related with HRM (AI) adoption.

    “Research Proposition 4a-d: Organizational readiness is positively related with HRM (AI) (a) initiation,(b) adoption,(c) routinization, and (d) extension.”

    From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Helfrich et al., 2011

    The Background and literature review (page unavailable) links organizational readiness to the implementation and adoption of evidence-based clinical practices. It does not address HRM (AI) adoption specifically, and the paper is a study protocol rather than a finding that readiness is positively related to that outcome. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Organizational readiness is positively related with HRM (AI) initiation.

    “Research Proposition 4a-d: Organizational readiness is positively related with HRM (AI) (a) initiation,(b) adoption,(c) routinization, and (d) extension.”

    From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Helfrich et al., 2011

    The Background proposes that organizational readiness could predict successful change, and its literature review identifies implementation effectiveness as a proximal outcome. But this is a study protocol focused on clinical practices; it does not establish a positive relationship with the initiation of HRM (AI). (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Organizational readiness is positively related with HRM (AI) extension.

    “Research Proposition 4a-d: Organizational readiness is positively related with HRM (AI) (a) initiation,(b) adoption,(c) routinization, and (d) extension.”

    From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Helfrich et al., 2011

    The Background describes organizational readiness as a potential predictor of successful change, and the literature review identifies implementation effectiveness as its expected outcome. But this is a study protocol concerning evidence-based clinical practices; it does not establish a positive relationship with HRM (AI) extension specifically. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Organizational readiness is positively related with HRM (AI) routinization.

    “Research Proposition 4a-d: Organizational readiness is positively related with HRM (AI) (a) initiation,(b) adoption,(c) routinization, and (d) extension.”

    From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Helfrich et al., 2011

    The Background and literature review (page not provided) proposes implementation effectiveness as an outcome of organizational readiness and reports studies linking readiness measures to healthcare implementation. It does not address HRM, AI, or routinization specifically, and as a study protocol it does not establish the claimed positive relationship in that setting. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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Authors
Helfrich, C. D., Blevins, D., Smith, J. L., Kelly, P. A., Hogan, T. P., Hagedorn, H., Dubbert, P. M., & Sales, A. E.
Affiliations
  • Health Services Research & Development (US)
  • Centers for Disease Control and Prevention (US)
  • Central Arkansas Veterans Healthcare System (US)
  • Southeast Louisiana Veterans Health Care System (US)
  • Loyola University Chicago (US)
  • Minneapolis VA Health Care System (US)
  • Mental Illness Research, Education and Clinical Centers (US)
  • Cincinnati VA Medical Center (US)
Corresponding author
Helfrich, Christian D
Venue
Implementation Science
Published
2011-07-22
Volume
6
Issue
1
Pages
76-76
ISSN
1748-5908 (ISSN-L)
OpenAlex
W2162077242
Cited by
66
References
85
Citations by year
2026: 3 · 2025: 2 · 2024: 5 · 2023: 7 · 2022: 5 · 2021: 8 · 2020: 3 · 2019: 5 · 2018: 5 · 2017: 5 · 2016: 1 · 2015: 8 · 2014: 4 · 2013: 3 · 2012: 2
FWCI
5.35
Type
journal article
Language
en
Open access
Locations
  • Implementation Science (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • U.S. Department of Veterans Affairs
  • Health Services Research and Development
  • University of Washington
  • Centers for Disease Control and Prevention
  • Quality Enhancement Research Initiative
  • Loyola University Chicago Stritch School of Medicine
  • Geriatric Research Education and Clinical Center
  • NIH Clinical Center
  • National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
  • Social Sciences › Education › Health Education and Validation
Keywords
organizational preparedness, evidence-based practice implementation, psychometric validation, halo effect, methodological bias, predictive validity, concurrent validity, inter-rater reliability, job satisfaction, construct validity, content validity, survey instrument validation
MeSH terms
Data Collection, Delivery of Health Care, Health Services Research, Humans, Organizational Innovation, Psychometrics, Reproducibility of Results, Program Development, Evidence-Based Practice

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