Abstract
Purpose: To determine the factor structure of a clinical tool for the assessment of hearing loss self-management, and to identify predictors of the total score on the assessment and the extracted factor scores.
Materials and methods: Hearing loss self-management assessments were conducted with 62 older adults. The factor structure of the assessment was determined by exploratory factor analysis. Multiple linear regression analyses identified significant contributors to the total score and to each of the extracted factors.
Results: Three factors were identified, each representing a distinct domain of hearing loss self-management: Actions, Psychosocial Behaviours, and Knowledge. The most common significant predictor was hearing health care experience, which predicted self-management overall and in the Actions and Knowledge domains. Health literacy predicted hearing loss self-management overall and in the Psychosocial Behaviours domain. Actions were additionally predicted by hearing aid self-efficacy and gender, Psychosocial Behaviours by health locus of control, and Knowledge by age.
Conclusions: The results of the factor analysis suggested that hearing loss self-management is a multidimensional construct. Each domain of hearing loss self-management was influenced by different contextual factors. Subsequent interventions to improve hearing loss self-management should therefore be domain-specific and tailored to relevant contextual factors.
Hearing loss is a chronic health condition that requires on-going self-management of its effects on everyday life.
Hearing loss self-management is multidimensional and encompasses the domains of Actions, Psychosocial Behaviours, and Knowledge.
Different contextual factors influence each hearing loss self-management domain, including previous experience receiving hearing health care services, health literacy, hearing aid self-efficacy, health locus of control, age, and gender.
Audiological rehabilitation programs should thus ensure that interventions to improve hearing loss self-management are domain- and context-specific.
Implications for rehabilitation
Acknowledgements
The authors thank Mark Seeto of the National Acoustic Laboratories and Asad Khan of the University of Queensland for their assistance with statistical analysis. The authors acknowledge the financial support of the HEARing Cooperative Research Centre, established under the Cooperative Research Centres Programme. The CRC Programme supports industry-led, end-user-driven research collaborations to address the major challenges facing Australia. The authors additionally acknowledge the Flinders Human Behaviour and Health Research Unit of Flinders University for granting permission to use and modify the Flinders Chronic Condition Management Program™ assessment tools for research purposes. The first author acknowledges the support of the Australian government through a Research Training Program Scholarship. Preliminary results were presented at the 22nd Audiology Australia National Conference, Melbourne, Australia, in May 2016.
Disclosure statement
The authors report no conflicts of interest.