Literature DB >> 32378769

Factors that affect health information technology adoption by seniors: A systematic review.

Hamidreza Kavandi1, Mirou Jaana2.   

Abstract

The number of seniors and prevalence of chronic conditions are increasing worldwide, resulting in more pressure on health systems. Health Information Technologies (HIT) present opportunities to support the healthcare needs of seniors. Although prior studies have investigated HIT and seniors, it remains unclear what factors significantly affect the adoption of different HIT by elderly people in the community. A Systematic Review (SR) was conducted between December 2017 and February 2018 (with a search update in 2018-2019) to critically appraise and synthesise existing evidence on HIT adoption factors among seniors. Following the PRISMA guidelines, five major databases were consulted (PubMed, Medline, CINAHL, Scopus and Web of Science). The inclusion criteria consisted of empirical studies, published in English, and reporting impacts of specific factors on HIT adoption among seniors in the community. A total of 41 studies were included in this review, mostly published between 2014 and 2017 in Europe and the US; the level of evidence in these studies was low to moderate. The factors that affect HIT adoption did not differ across types of technologies or age groups. The findings reveal that seniors adopt HIT that are perceived as useful and requiring low effort commitment; price/cost value were reported as adoption barriers. Social influence, facilitating conditions, senior-friendly product design, self-efficacy, Intrinsic Technology Quality, experience/training and technology anxiety may affect HIT adoption by seniors, although the evidence on these impacts remains weak and limited. Mixed and inconclusive evidence was observed on the impacts of socio-demographic variables, health condition, habit and privacy/security. Given the reported low level of HIT adoption among seniors, we call for more rigorous research in this area using a 'senior-centred' approach, which takes into account the discourse/interaction between seniors and their collective environment to better understand the factors that affect their technology adoption and address their needs.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  PRISMA guidelines; community care; health information technology; seniors/elderly; systematic review; technology adoption

Mesh:

Year:  2020        PMID: 32378769     DOI: 10.1111/hsc.13011

Source DB:  PubMed          Journal:  Health Soc Care Community        ISSN: 0966-0410


  12 in total

Review 1.  Challenges and strategies for promoting health equity in virtual care: findings and policy directions from a scoping review of reviews.

Authors:  Suman Budhwani; Jamie Fujioka; Tyla Thomas-Jacques; Kristina De Vera; Priyanka Challa; Ryan De Silva; Kaitlin Fuller; Simone Shahid; Sophie Hogeveen; Shivani Chandra; R Sacha Bhatia; Emily Seto; James Shaw
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 4.497

2.  Peer Support Specialists and Service Users' Perspectives on Privacy, Confidentiality, and Security of Digital Mental Health.

Authors:  Maria D Venegas; Jessica M Brooks; Amanda L Myers; Marianne Storm; Karen L Fortuna
Journal:  IEEE Pervasive Comput       Date:  2022-03-01       Impact factor: 1.603

3.  Developing eHealth tools for diverse older adults: Lessons learned from the PREPARE for Your Care Program.

Authors:  Charlotte Scheerens; Joni Gilissen; Aiesha M Volow; Jana L Powell; Clarissa M Ferguson; David Farrell; Brookelle Li; Corinne Berry; Rebecca L Sudore
Journal:  J Am Geriatr Soc       Date:  2021-06-03       Impact factor: 7.538

4.  A cardiovascular clinic patients' survey to assess challenges and opportunities of digital health adoption during the COVID-19 pandemic.

Authors:  Lilas Dagher; Saihariharan Nedunchezhian; Abdel Hadi El Hajjar; Yichi Zhang; Orlando Deffer; Ashley Russell; Christopher Pottle; Nassir Marrouche
Journal:  Cardiovasc Digit Health J       Date:  2021-11-18

Review 5.  [Adherence to digital health interventions: definitions, methods, and open questions].

Authors:  Sven Kernebeck; Theresa Sophie Busse; Jan Peter Ehlers; Horst Christian Vollmar
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2021-09-24       Impact factor: 1.513

6.  Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis.

Authors:  Jiyeon Yu; Angelica de Antonio; Elena Villalba-Mora
Journal:  J Med Internet Res       Date:  2022-01-28       Impact factor: 5.428

7.  The impact of the COVID-19 lockdown on depression sufferers: a qualitative study from the province of Zaragoza, Spain.

Authors:  Alejandra Aguilar-Latorre; Bárbara Oliván-Blázquez; Ana Porroche-Escudero; Fátima Méndez-López; Valentín García-Gallego; Belén Benedé-Azagra; Rosa Magallón-Botaya
Journal:  BMC Public Health       Date:  2022-04-18       Impact factor: 4.135

8.  Control Matters in Elder Care Technology:: Evidence and Direction for Designing It In.

Authors:  Clara Berridge; Yuanjin Zhou; Amanda Lazar; Anupreet Porwal; Nora Mattek; Sarah Gothard; Jeffrey Kaye
Journal:  DIS (Des Interact Syst Conf)       Date:  2022-06-13

9.  Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey.

Authors:  Mirou Jaana; Guy Paré
Journal:  JMIR Mhealth Uhealth       Date:  2020-11-27       Impact factor: 4.773

10.  The impact of COVID-19 on substance use disorder treatment in California: Service providers' perspectives.

Authors:  Chunqing Lin; Sarah E Clingan; Sarah J Cousins; Jonathan Valdez; Larissa J Mooney; Yih-Ing Hser
Journal:  J Subst Abuse Treat       Date:  2021-06-24
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