Literature DB >> 31120308

Factors related to the use of magnifying low vision aids: a scoping review.

Marie-Céline Lorenzini1,2, Walter Wittich1,2.   

Abstract

Background: The decision process around the (non-)use of assistive technologies is multifactorial. Its determinants have previously been classified into personal, device-related, environmental and interventional categories. Whether these categories specifically apply to the use of magnifying low vision aids was explored here, using this classification.
Methods: A scoping review (Embase, MedLine, Cochrane, ERIC ProQuest, CINAHL, NICE Evidence, Trip Database) was conducted to summarize the extent, range, and nature of research regarding the categories that are associated with low vision aid (non-)usage. A combination of key words and MeSH terms was used based upon the identified core concepts of the research question: low vision, assistive technology and adherence. Inter-rater reliability for the selection process was considered acceptable (kappa = 0.87). A combination of numerical and qualitative description of 21 studies was performed.
Results: Studies report high variability rates of people possessing devices but not using them (range: 2.3-50%, M = 25%, SD = 14%). We were able to replicate the conceptual structure of the four categories that had previsouly been identified with other devices. Age, diagnosis and visual acuity demonstrated contradictory influence on optical low vision aid usage. Change in vision, appropriate environment, consistent training, patient's motivation and awareness of low vision services, emerged as contributor factors of use.
Conclusion: This review provides evidence that clinicians should not rely on traditionally available clinical factors to predict device use behavior. Worsening vision and low motivation appear as predictors of device nonuse and should be considered from the clinician's point of view. Education about potential facilitating factors and promotion of innovative care are strongly encouraged.Implications for rehabilitationInvestigation of the factors predicting (non-)use of magnifying low vision aids is important. These findings can help clinicians to identify patients with a higher risk of non-use of low vision aids as well as provide evidence for interventions designed to improve use.Knowledge of low vision services and types of magnifying low vision aids available to patients appears as fundamental in the process of device use and needs to be supported by more educational programs.Psychological factors predicting (non-)use of low vision aids need to be considered in the choice of rehabilitation and follow-up strategies by a multidisciplinary team, focusing more on mechanisms of adaptation and patient's motivation.Training intensity should play a central role in the development of innovative intervention programs to reduce device abandonment.

Entities:  

Keywords:  Visual impairment; abandonment; adherence; assistive technology; magnification; optical aid

Mesh:

Year:  2019        PMID: 31120308     DOI: 10.1080/09638288.2019.1593519

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  9 in total

1.  Artificial vision: the effectiveness of the OrCam in patients with advanced inherited retinal dystrophies.

Authors:  Xuan-Thanh-An Nguyen; Jan Koopman; Maria M van Genderen; Henk L M Stam; Camiel J F Boon
Journal:  Acta Ophthalmol       Date:  2021-09-26       Impact factor: 3.988

2.  Clinical performance of a smartphone-based low vision aid.

Authors:  Joon Hyung Yeo; Seon Ha Bae; Seung Hyeun Lee; Kyoung Woo Kim; Nam Ju Moon
Journal:  Sci Rep       Date:  2022-06-24       Impact factor: 4.996

3.  Head-mounted Visual Assistive Technology-related Quality of Life Changes after Telerehabilitation.

Authors:  Marie-Céline Lorenzini; Walter Wittich
Journal:  Optom Vis Sci       Date:  2021-06-01       Impact factor: 1.973

4.  Personalized Telerehabilitation for a Head-mounted Low Vision Aid: A Randomized Feasibility Study.

Authors:  Marie-Céline Lorenzini; Walter Wittich
Journal:  Optom Vis Sci       Date:  2021-06-01       Impact factor: 1.973

5.  Device abandonment in deafblindness: a scoping review of the intersection of functionality and usability through the International Classification of Functioning, Disability and Health lens.

Authors:  Walter Wittich; Sarah Granberg; Moa Wahlqvist; M Kathleen Pichora-Fuller; Elina Mäki-Torkko
Journal:  BMJ Open       Date:  2021-01-25       Impact factor: 2.692

6.  Accessibility Analysis of Worldwide COVID-19-Related Information Portals.

Authors:  Patricia Acosta-Vargas; Sylvia Novillo-Villegas; Belén Salvador-Acosta; Manuel Calvopina; Nikolaos Kyriakidis; Esteban Ortiz-Prado; Luis Salvador-Ullauri
Journal:  Int J Environ Res Public Health       Date:  2022-09-24       Impact factor: 4.614

7.  Everyday visual demands of people with low vision: A mixed methods real-life recording study.

Authors:  Sandra D Starke; Eugenie Golubova; Michael D Crossland; James S Wolffsohn
Journal:  J Vis       Date:  2020-09-02       Impact factor: 2.240

8.  Application of neural network model in assisting device fitting for low vision patients.

Authors:  Bingfa Dai; Yang Yu; Lijuan Huang; Zhiyong Meng; Liang Chen; Hongxia Luo; Ting Chen; Xuelan Chen; Wenwen Ye; Yuyuan Yan; Chi Cai; Jianqing Zheng; Jun Zhao; Liquan Dong; Jianmin Hu
Journal:  Ann Transl Med       Date:  2020-06

9.  Measuring changes in device use of a head-mounted low vision aid after personalised telerehabilitation: protocol for a feasibility study.

Authors:  Marie-Céline Lorenzini; Walter Wittich
Journal:  BMJ Open       Date:  2019-09-20       Impact factor: 2.692

  9 in total

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