» Articles » PMID: 37965059

Validation of the Consumer Health Activation Index (CHAI) in General Population Samples of Older Australians

Overview
Journal PEC Innov
Specialty Health Services
Date 2023 Nov 15
PMID 37965059
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To validate the 10-item Consumer Health Activation Index (CHAI), developed in the United States, as an activation measure for interventions targeted at the Australian older general population.

Methods: The study was a cross sectional design. Exploratory factor analysis (EFA) was conducted on survey data from a community sample of participants ( = 250), aged 55-75 years. Confirmatory factor analysis (CFA) was used to evaluate dimensionality among a second sample of participants randomly sampled from the electoral roll ( = 571), aged 50-75 years. Associations between the CHAI and self-reported health behaviours were examined.

Results: EFA revealed a 7-item, two-factor structure ('Health self-management' and 'Patient-provider engagement'). CFA indicated optimum model fit was obtained with this structure. Subscale reliability and validity were confirmed, with significant correlation to age, functional health literacy and health screening.

Conclusion: In contrast to the original structure, optimum model fit was obtained with a two-factor solution and retention of seven items. The subscales have utility as a measure of health activation for tailoring of information in this group.

Innovation: A freely-available, unidimensional health activation measure has demonstrated an underlying two-scale structure that will enable tailored approaches toward the enhancement and maintenance of self- and externally-managed health behaviours in an Australian population.

Citing Articles

A Systematic Review of the Reliability and Validity of the Patient Activation Measure Tool.

Ng Q, Liau M, Tan Y, Tang A, Ong C, Thumboo J Healthcare (Basel). 2024; 12(11).

PMID: 38891154 PMC: 11171848. DOI: 10.3390/healthcare12111079.

References
1.
Alvarez C, Greene J, Hibbard J, Overton V . The role of primary care providers in patient activation and engagement in self-management: a cross-sectional analysis. BMC Health Serv Res. 2016; 16:85. PMC: 4788946. DOI: 10.1186/s12913-016-1328-3. View

2.
Bailey S, Wismer G, Parker R, Walton S, Wood A, Wallia A . Development and rationale for a multifactorial, randomized controlled trial to test strategies to promote adherence to complex drug regimens among older adults. Contemp Clin Trials. 2017; 62:21-26. PMC: 5641260. DOI: 10.1016/j.cct.2017.08.013. View

3.
Morawski K, Ghazinouri R, Krumme A, McDonough J, Durfee E, Oley L . Rationale and design of the Medication adherence Improvement Support App For Engagement-Blood Pressure (MedISAFE-BP) trial. Am Heart J. 2017; 186:40-47. DOI: 10.1016/j.ahj.2016.11.007. View

4.
Young G, Chen G, Wilson C, McGrane E, Hughes-Barton D, Flight I . "Rescue" of Nonparticipants in Colorectal Cancer Screening: A Randomized Controlled Trial of Three Noninvasive Test Options. Cancer Prev Res (Phila). 2021; 14(8):803-810. DOI: 10.1158/1940-6207.CAPR-21-0080. View

5.
Fowles J, Terry P, Xi M, Hibbard J, Bloom C, Harvey L . Measuring self-management of patients' and employees' health: further validation of the Patient Activation Measure (PAM) based on its relation to employee characteristics. Patient Educ Couns. 2009; 77(1):116-22. DOI: 10.1016/j.pec.2009.02.018. View