Abstract
The CREATION Model is a whole-person wellness model facilitating patient-provider partnerships for health promotion. CREATION is an acronym that represents eight whole-person health principles: Choice, Rest, Environment-Interpersonal Relationships, Activity, Trust, Outlook, and Nutrition, all focusing on the relationship between individual choice and physical, psychological, social, and spiritual health. This study develops and tests the psychometric properties of the CREATION Health Assessment Tool for Patients (CHAT-P). A 125-item-bank using a 5-point Likert scale with 1 to 5 rating was generated through focus-groups of clinicians, patients, and healthcare leaders. An expert panel assessed content adequacy, reducing items to 82. Patient survey data (n = 599) from 15 inpatient medical units were randomly divided into two datasets. Exploratory Factor Analysis applied to Dataset 1 resulted in a 7-factor (Choice/Rest/Environment-Interpersonal Relationships/Activity/Trust/Outlook/Nutrition) and 28-item tool with factor loading 0.47–0.86. The model structure was confirmed by Structural Equation Modeling on Dataset 2 with goodness-of-fit test results: X2/df = 2.41 < 5.0, RMSEA = 0.05 < 0.08, GFI = 0.91 and AGFI = 0.90. Cronbach’s Alpha = 0.83 showed satisfactory reliability. The final CHAT-P totals ranged from 28–140 (higher scores indicating better health/well-being). When assessing the effectiveness of educational/behavioral interventions, this tool can measure the improvement of a patient’s overall mind–body-spirit well-being or measure well-being for individual CREATION principle(s). It fills that gap and facilitates healthcare providers’ ability to assess and plan interventions to support holistic well-being.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Anderson G., Sawyer, A.T., Harris, L., & Robinson, P.S. (2020). The CREATION Model: A whole-person wellness model to facilitate patient-provider partnerships for health promotion. Journal of Health and Social Sciences. Advance Publication Online Published Online September 30, 2020 https://doi.org/10.19204/2020/thcr8
Billioux, A., Verlander, K., Anthony, S., & Alley, D. (2017). Standardized screening for health-related social needs in clinical settings: The accountable health communities screening tool. Discussion Paper, National Academy of Medicine, Washington, DC. Retrieved from https://nam.edu/wp-content/uploads/2017/05/ Standardized-Screening-for-Health-Related-Social-Needs in-Clinical-Settings.pdf.
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). Pittsburgh sleep quality index. Psychiatry Research, 28, 193–213.
CHIP (2020). Complete health improvement program. https://chiphealth.com/
CREATION LIFE (2020). Live Life to the Fullest Prescription for Wellness. https://www.adventhealth.com/creation-life
Cummings, D., Chobotar, T., & Reed, M. (2021). Creation health discovery: Live life to the fullest. Florida Hospital Publishing.
DiClemente, C. C., & Hughes, S. O. (1990). Stages of change profiles in alcoholism treatment. Journal of Substance Abuse, 2, 217–235.
Ellen, M. (2017). The sage encyclopedia of communication research methods, Vol 1-4. SAGE Publications, Inc., Thousand Oaks, CA https://doi.org/10.4135/9781483381411.
Hibbard, J. H., Mahoney, E. R., Stockard, J., & Tusler, M. (2005). Development and testing of a short form of the patient activation measure. Health Services Research, 40(6p1), 1918–1930. https://doi.org/10.1111/j.1475-6773.2005.00438.x
Hilton, P. R., McMurray, I., & Brownlow, C. (2014). SPSS explained (2nd ed.). London: Taylor & Francis (Routledge).
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modeling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6, 53–60.
Hutcheson, G. D., & Sofroniou, N. (1999). The multivariate social scientist: An introduction to generalized linear models. Sage Publications.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31–36.
Koenig, H. G., & Al Zaben, F. (2021). Psychometric validation and translation of religious and spiritual measures. Journal of Religion and Health, 60, 3467–3483.
McDonald, R. P., & Ho, M.-H.R. (2002). Principles and practice in reporting statistical equation analyses. Psychological Methods, 7(1), 64–82.
Morton, D., Rankin, P., Kent, L., & Dysinger, W. (2016). The complete health improvement program (CHIP): History, evaluation, and outcomes. American Journal of Lifestyle Medicine., 10(1), 64–73. https://doi.org/10.1177/1559827614531391
Myers, J.E., Sweeney, T.J., & Witmer, M. (2001). Wellness Evaluation of Lifestyle. Retrieved from https://www.mindgarden.com/159-wellness-evaluation-of-lifestyle
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw Hill.
Polit, D. F. (2009). Data analysis & statistics for nursing research (2nd ed.). Prentice-Hall.
Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing and Health, 29, 489–497.
Rempel, J. K., Holmes, J. G., & Zanna, M. P. (1985). Trust in close relationships. Journal of Personality and Social Psychology, 49, 95–112.
Sawyer, A. T., Wheeler, J., Jennelle, P., Pepe, J., & Robinson, P. S. (2020). A randomized controlled trial of a motivational interviewing intervention to improve whole-person lifestyle. Journal of Primary Care & Community Health, 11, 11–17.
Schweizer, K. (2011). Some thoughts concerning the recent shift from measures with many items to measures with few items. European Journal of Psychological Assessment, 27(2), 71–72. https://doi.org/10.1027/1015-5759/a000056
Smets, E. M., Garssen, B., Bonke, B., & De Haes, J. C. (1995). The Multidimensional fatigue inventory (MFI) psychometric qualities of an instrument to assess fatigue. Journal of Psychosomatic Research, 39(3), 315–325.
StatWike (2017). Exploratory factor analysis. Retrieved on 05/11/2019 from: http://statwiki.kolobkreations.com/index.php?title=Exploratory_Factor_Analysis
Stevens, J. (2021). Applied multivariate statistics for the social sciences (5th ed.). Lawrence Erlbaum Associates.
Thomas, H., Mitchell, G., Rich, J., & Best, M. (2018). Definition of whole person care in general practice in the English language literature: A systematic review. British Medical Journal Open, 8(12), e023758. https://doi.org/10.1136/bmjopen-2018-023758
van BokhorstSchueren, M. A., Guaitoli, P. R., Jansma, E. P., & de Vet, H. C. (2014). Nutrition screening tools: does one size fit all? A systematic review of screening tools for the hospital setting. Clinical nutrition (Edinburgh Scotland), 33(1), 39–58. https://doi.org/10.1016/j.clnu.2013.04.008
Yamagishi, T. (1986). The provisioning of a sanctioning system as a public good. Journal of Personality and Social Psychology, 51, 110–116.
Funding
The authors have not disclosed any funding.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Tao, H., Pepe, J., Brower, A. et al. The CREATION Health Assessment Tool for Patients (CHAT-P): Development & Psychometric Testing. J Relig Health 62, 2144–2162 (2023). https://doi.org/10.1007/s10943-022-01691-6
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10943-022-01691-6