Literature DB >> 25158981

Stages of change in adults who have failed an online hearing screening.

Ariane Laplante-Lévesque1, K Jonas Brännström, Elisabeth Ingo, Gerhard Andersson, Thomas Lunner.   

Abstract

OBJECTIVES: Hearing screening has been proposed to promote help-seeking and rehabilitation in adults with hearing impairment. However, some longitudinal studies point to low help-seeking and subsequent rehabilitation after a failed hearing screening (positive screening result). Some barriers to help-seeking and rehabilitation could be intrinsic to the profiles and needs of people who have failed a hearing screening. Theories of health behavior change could help to understand this population. One of these theories is the transtheoretical (stages-of-change) model of health behavior change, which describes profiles and needs of people facing behavior changes such as seeking help and taking up rehabilitation. According to this model, people go through distinct stages toward health behavior change: precontemplation, contemplation, action, and finally, maintenance. The present study describes the psychometric properties (construct validity) of the stages of change in adults who have failed an online hearing screening. Stages of change were measured with the University of Rhode Island Change Assessment (URICA). Principal component analysis is presented, along with cluster analysis. Internal consistency was investigated. Finally, relationships between URICA scores and speech-in-noise recognition threshold, self-reported hearing disability, and self-reported duration of hearing disability are presented.
DESIGN: In total, 224 adults who had failed a Swedish online hearing screening test (measure of speech-in-noise recognition) completed further questionnaires online, including the URICA.
RESULTS: A principal component analysis identified the stages of precontemplation, contemplation, and action, plus an additional stage, termed preparation (between contemplation and action). According to the URICA, half (50%) of the participants were in the preparation stage of change. The contemplation stage was represented by 38% of participants, while 9% were in the precontemplation stage. Finally, the action stage was represented by approximately 3% of the participants. Cluster analysis identified four stages-of-change clusters: they were named decision making (44% of sample), participation (28% of sample), indecision (16% of sample), and reluctance (12% of sample). The construct validity of the model was good. Participants who reported a more advanced stage of change had significantly greater self-reported hearing disability. However, participants who reported a more advanced stage of change did not have a significantly worse speech-in-noise recognition threshold or reported a significantly longer duration of hearing impairment.
CONCLUSIONS: The additional stage this study uncovered, and which other studies have also uncovered, preparation, highlights the need for adequate guidance for adults who are yet to seek help for their hearing. The fact that very few people were in the action stage (approximately 3% of the sample) signals that screening alone is unlikely to be enough to improve help-seeking and rehabilitation rates. As expected, people in the later stages of change reported significantly greater hearing disability. The lack of significant relationships between stages-of-change measures and speech-in-noise recognition threshold and self-reported duration of hearing disability highlights the complex interplay between impairment, disability, and behaviors in adults who have failed an online hearing screening and who are yet to seek help.

Entities:  

Mesh:

Year:  2015        PMID: 25158981     DOI: 10.1097/AUD.0000000000000085

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  10 in total

1.  Application of the Consumer Decision-Making Model to Hearing Aid Adoption in First-Time Users.

Authors:  Amyn M Amlani
Journal:  Semin Hear       Date:  2016-05

2.  Validation of a Computer-Administered Version of the Digits-in-Noise Test for Hearing Screening in the United States.

Authors:  Robert L Folmer; Jay Vachhani; Garnett P McMillan; Charles Watson; Gary R Kidd; M Patrick Feeney
Journal:  J Am Acad Audiol       Date:  2017-02       Impact factor: 1.664

Review 3.  Applying U.S. national guidelines for ototoxicity monitoring in adult patients: perspectives on patient populations, service gaps, barriers and solutions.

Authors:  Dawn Konrad-Martin; Gayla L Poling; Angela C Garinis; Candice E Ortiz; Jennifer Hopper; Keri O'Connell Bennett; Marilyn F Dille
Journal:  Int J Audiol       Date:  2017-11-20       Impact factor: 2.117

4.  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

5.  Hearing, Cognition, and Healthy Aging: Social and Public Health Implications of the Links between Age-Related Declines in Hearing and Cognition.

Authors:  M Kathleen Pichora-Fuller; Paul Mick; Marilyn Reed
Journal:  Semin Hear       Date:  2015-08

6.  Stages of Change Profiles among Adults Experiencing Hearing Difficulties Who Have Not Taken Any Action: A Cross-Sectional Study.

Authors:  Vinaya Manchaiah; Jerker Rönnberg; Gerhard Andersson; Thomas Lunner
Journal:  PLoS One       Date:  2015-06-04       Impact factor: 3.240

7.  Understanding the psychosocial experiences of adults with mild-moderate hearing loss: An application of Leventhal's self-regulatory model.

Authors:  Eithne Heffernan; Neil S Coulson; Helen Henshaw; Johanna G Barry; Melanie A Ferguson
Journal:  Int J Audiol       Date:  2016-01-12       Impact factor: 2.117

8.  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

9.  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

10.  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

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.