Literature DB >> 27206679

Measuring motivation using the transtheoretical (stages of change) model: A follow-up study of people who failed an online hearing screening.

Elisabeth Ingo1, K Jonas Brännström1,2, Gerhard Andersson1,3,4, Thomas Lunner1,4, Ariane Laplante-Lévesque1,4.   

Abstract

OBJECTIVE: Acceptance and readiness to seek professional help have shown to be important factors for favourable audiological rehabilitation outcomes. Theories from health psychology such as the transtheoretical (stages-of-change) model could help understand behavioural change in people with hearing impairment. In recent studies, the University of Rhode Island change assessment (URICA) has been found to have good predictive validity.
DESIGN: In a previous study, 224 Swedish adults who had failed an online hearing screening completed URICA and two other measures of stages of change. This follow-up aimed to: (1) determine prevalence of help-seeking at a hearing clinic and hearing aid uptake, and (2) explore the predictive validity of the stages of change measures by a follow-up on the 224 participants who had failed a hearing screening 18 months previously. STUDY SAMPLE: A total of 122 people (54%) completed the follow-up online questionnaire, including the three measures and questions regarding experience with hearing help-seeking and hearing aid uptake.
RESULTS: Since failing the online hearing screening, 61% of participants had sought help. A good predictive validity for a one-item measure of stages of change was reported.
CONCLUSIONS: The Staging algorithm was the stages of change measure with the best ability to predict help-seeking 18 months later.

Entities:  

Keywords:  Hearing screening; behavioural change; hearing aid uptake; hearing help-seeking; motivation; stages of change

Mesh:

Year:  2016        PMID: 27206679     DOI: 10.1080/14992027.2016.1182650

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  4 in total

1.  Characteristics and Help-Seeking Behavior of People Failing a Smart Device Self-Test for Hearing.

Authors:  Danielle Schönborn; Faheema Mahomed Asmail; Karina C De Sousa; Ariane Laplante-Lévesque; David R Moore; Cas Smits; De Wet Swanepoel
Journal:  Am J Audiol       Date:  2020-06-08       Impact factor: 1.493

2.  Predictors of Entering a Hearing Aid Evaluation Period: A Prospective Study in Older Hearing-Help Seekers.

Authors:  Marieke Pronk; Dorly J H Deeg; Niek J Versfeld; Martijn W Heymans; Graham Naylor; Sophia E Kramer
Journal:  Trends Hear       Date:  2017 Jan-Dec       Impact factor: 3.293

3.  Hearing Health Care Utilization Following Automated Hearing Screening.

Authors:  Robert L Folmer; Gabrielle H Saunders; Jay J Vachhani; Robert H Margolis; George Saly; Bevan Yueh; Rachel A McArdle; Lawrence L Feth; Christina M Roup; M Patrick Feeney
Journal:  J Am Acad Audiol       Date:  2021-06-01       Impact factor: 1.245

4.  Comparative implementation-effectiveness of three strategies to perform hearing screening among older adults in primary care clinics: study design and protocol.

Authors:  Janet Prvu Bettger; Rowena J Dolor; David L Witsell; Judy R Dubno; Carl F Pieper; Amy R Walker; Mina Silberberg; Kristine A Schulz; Pranab Majumder; Erika Juhlin; Sherri L Smith; Howard W Francis; Debara L Tucci
Journal:  BMC Geriatr       Date:  2020-05-11       Impact factor: 3.921

  4 in total

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