Continued Usage and Dependency of Smartphones

Rosaline, Salini; Johnson, Samuel

doi:10.4018/ijcbpl.2020010104

Cited by 7 publications

(7 citation statements)

References 35 publications

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“…Unlike educational smartphone use, distractive smartphone use was not successfully modeled by the fsQCA procedures. A recent structural equation modeling study found that Indian college students' continued intention of using smartphones was predicted by smartphone dependency, which was predicted by social influence, social needs, performance expectancy and convenience measurements (Rosaline & Pradesh, 2020). Earlier theorists have conceptualized disordered mobile phone use behaviours with a pathway model (Billieux et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…Inspired by Olufadi's recent research (Olufadi, 2015), the current study integrated theories from consumer psychology, abnormal psychology, and educational psychology and proposed a three-component framework for understanding smartphone use behaviour in learning settings. continued intention of using smartphones was predicted by smartphone dependency, which was predicted by social influence, social needs, performance expectancy and convenience measurements (Rosaline & Pradesh, 2020). Earlier theorists have conceptualized disordered mobile phone use behaviours with a pathway model (Billieux et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

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Understanding student simultaneous smartphone use in learning settings: A conceptual framework

Gao

Wei

et al. 2020

Computer Assisted Learning

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Smartphone use in learning settings is a common behaviour amongst college students. Building on the theory of consumerism, self-efficacy and addictive behaviours, the current study developed a three-component conceptual framework to understand college students' smartphone use in organizational as well as self-directed learning settings. One thousand and thirty-three students in Shenzhen completed an online survey that measured their frequency of using smartphones in learning settings, motivation for using smartphones in learning settings, behavioural control selfefficacy, smartphone use time, problematic smartphone use, multitask habit and impulsiveness. Regression and configurational analytical approaches were used to examine linear and nonlinear relationships. Results support the use of the proposed framework to explain students' smartphone use behaviour in learning settings.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Understanding student simultaneous smartphone use in learning settings: A conceptual framework

Gao

Wei

et al. 2020

Computer Assisted Learning

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“…eHealth is an umbrella term that refers to the use of modern information and communication technology to deliver health care [ 14 ]. A branch of eHealth showing growth in development is mobile health (mHealth) [ 15 ] as a result of the increasing use of mobile devices, partnered with improvements in technology development (eg, smartphones), with predictions that device availability will increase over the next decade [ 16 ]. According to the 2019 Ofcom report, the UK telecom sector generated £33.8 billion (US $45.03 billion), with mobile devices accounting for 51% of the total revenue.…”

Section: Introductionmentioning

confidence: 99%

An Investigation Into the Use of mHealth in Musculoskeletal Physiotherapy: Scoping Review

Agnew¹,

Hanratty²,

McVeigh³

et al. 2022

JMIR Rehabil Assist Technol

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Background Musculoskeletal physiotherapy provides conservative management for a range of conditions. Currently, there is a lack of engagement with exercise programs because of the lack of supervision and low self-efficacy. The use of mobile health (mHealth) interventions could be a possible solution to this problem, helping promote self-management at home. However, there is little evidence for musculoskeletal physiotherapy on the most effective forms of mHealth. Objective The aim of this review is to investigate the literature focusing on the use of mHealth in musculoskeletal physiotherapy and summarize the evidence. Methods A scoping review of 6 peer-reviewed databases was conducted in March 2021. No date limits were applied, and only articles written in the English language were selected. A reviewer screened all the articles, followed by 2 additional researchers screening a random sample before data extraction. Results Of the 1393 studies, 28 (2.01%) were identified. Intervention characteristics comprised stretching and strengthening exercises, primarily for degenerative joint pain and spinal conditions (5/28, 18%). The most reported use of mHealth included telephone and videoconferencing calls to provide a home exercise program or being used as an adjunct to physiotherapy musculoskeletal assessment (14/28, 50%). Although patient satisfaction with mHealth was reported to be high, reasons for disengagement included a lack of high-quality information and poor internet speeds. Barriers to clinical uptake included insufficient training with the intervention and a lack of time to become familiar. Conclusions mHealth has some benefits regarding treatment adherence and can potentially be as effective as normal physiotherapy care while being more cost-effective. The current use of mHealth is most effective when ongoing feedback from a health care professional is available.

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“…Technology-based interventions for pain management, such as mobile health interventions, are an effective way of providing such self-management skills and education to both patients and health care providers [12,13]. This branch of health care is becoming increasingly popular due to the high availability of smartphone devices [14]. Mobile health has helped to increase the accessibility and affordability of health care for those living in rural locations or on low incomes [15].…”

Section: Introductionmentioning

confidence: 99%

Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale

Agnew¹,

Nugent²,

Hanratty³

et al. 2022

JMIR Form Res

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Background The successful rehabilitation of musculoskeletal pain requires more than medical input alone. Conservative treatment, including physiotherapy and exercise therapy, can be an effective way of decreasing pain associated with musculoskeletal pain. However, face-to-face appointments are currently not feasible. New mobile technologies, such as mobile health technologies in the form of an app for smartphones, can be a solution to this problem. In many cases, these apps are not backed by scientific literature. Therefore, it is important that they are reviewed and quality assessed. Objective The aim is to evaluate and measure the quality of apps related to shoulder pain by using the Mobile App Rating Scale. Methods This study included 25 free and paid apps—8 from the Apple Store and 17 from the Google Play Store. A total of 5 reviewers were involved in the evaluation process. A descriptive analysis of the Mobile App Rating Scale results provided a general overview of the quality of the apps. Results Overall, app quality was generally low, with an average star rating of 1.97 out of 5. The best scores were in the “Functionality” and “Aesthetics” sections, and apps were scored poorer in the “Engagement” and “Information” sections. The apps were also rated poorly in the “Subjective Quality” section. Conclusions In general, the apps were well built technically and were aesthetically pleasing. However, the apps failed to provide quality information to users, which resulted in a lack of engagement. Most of the apps were not backed by scientific literature (24/25, 96%), and those that contained scientific references were vastly out-of-date. Future apps would need to address these concerns while taking simple measures to ensure quality control.

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Continued Usage and Dependency of Smartphones

Cited by 7 publications

References 35 publications

Understanding student simultaneous smartphone use in learning settings: A conceptual framework

Understanding student simultaneous smartphone use in learning settings: A conceptual framework

An Investigation Into the Use of mHealth in Musculoskeletal Physiotherapy: Scoping Review

Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale

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