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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology

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Influence Mechanism of the Affordances of Chronic Disease Management Apps on Continuance Intention

From mhealth.jmir.org - May 16, 2021 11:16 AM

Mobile health apps are becoming increasingly popular, and they provide opportunities for effective health management.

Existing chronic disease management (CDM) apps cannot meet users’ practical and urgent needs, and user adhesion is poor. Few studies, however, have investigated the factors that influence the continuance intention of CDM app users.

Objective: Starting from the affordances of CDM apps, this study aimed to analyze how such apps can influence continuance intention through the role of health empowerment.

Methods: Adopting a stimulus-organism-response framework, an antecedent model was established for continuance intention from the perspective of perceived affordances, uses and gratifications theory, and health empowerment. Perceived affordances were used as the “stimulus,” users’ gratifications and health empowerment were used as the “organism,” and continuance intention was used as the “response.” Data were collected online through a well-known questionnaire survey platform in China, and 323 valid questionnaires were obtained. The theoretical model was tested using structural equation modeling.

Results: Perceived connection affordances were found to have significant positive effects on social interactivity gratification (t717=6.201, P<.001) and informativeness gratification (t717=5.068, P<.001).

Perceived utilitarian affordances had significant positive effects

on informativeness gratification (t717=7.029, P<.001),

technology gratification (t717=8.404, P<.001),

and function gratification (t717=9.812, P<.001).

Perceived hedonic affordances had

significant positive effects on function gratification (t717=5.305, P<.001)

and enjoyment gratification (t717=13.768, P<.001).

Five gratifications (t717=2.767, P=.005; t717=4.632, P<.001; t717=7.608, P<.001; t717=2.496, P=.012; t717=5.088, P<.001) had significant positive effects on health empowerment.

Social interactivity gratification, informativeness gratification, and function gratification had significant positive effects on continuance intention.

Technology gratification and enjoyment gratification did not have a significant effect on continuance intention.

Health empowerment had a significant positive effect on continuance intention. Health empowerment and gratifications play mediating roles in the influence of affordances on continuance intention.

Conclusions: Health empowerment and gratifications of users’ needs are effective ways to promote continuance intention. The gratifications of users’ needs can realize health empowerment and then inspire continuance intention. Affordances are key antecedents that affect gratifications of users’ needs, health empowerment, and continuance intention.

The results indicated that users’ perceptions of an app’s affordances can promote the gratification of needs, and the gratification of key needs (ie, social interactivity, informativeness, technology, and function gratification) can stimulate users’ continuance intention. At the same time, the gratification of users’ needs can promote users’ cognitions of health empowerment, thus stimulating continuance intention. Health empowerment was found to play a mediating role in the influence of gratification on continuance intention. From a practical perspective, app service providers should design apps from the perspective of social interaction (eg, providing social networks), utilitarian functions (eg, health self-management), and hedonic functions (eg, enhancing the user’s interest). By meeting users’ various needs, app developers can improve the user’s ability to control his or her own health, thus achieving the purpose of extending the life of the app.

more at https://mhealth.jmir.org/2021/5/e21831/

Lire l'article complet sur : mhealth.jmir.org

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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology

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Mobile tech reshaping the health sector

From phys.org - July 29, 2014 2:30 AM

Your smartphone is not only your best friend, it's also become your personal trainer, coach, medical lab and maybe even your doctor.

"Digital health" has become a key focus for the technology industry, from modest startups' focus on apps to the biggest companies in the sector seeking to find ways to address key issues of health and wellness.

Apps that measure heart rate, blood pressure, glucose and other bodily functions are multiplying, while Google, Apple and Samsung have launched platforms that make it easier to integrate medical and health services.

"We've gotten to a point where with sensors either in the phone or wearables gather information that we couldn't do in the past without going to a medical center," says Gerry Purdy, analyst at Compass Intelligence.

"You can do the heart rate, mobile EKGs (electrocardiograms). Costs are coming down, and these sensors are becoming more socially acceptable."

The consultancy Rock Health estimates 143 digital health companies raised $2.3 billion in the first six months of 2014, already topping last year's amount.

Recent studies suggest that people who use connected devices to monitor health and fitness often do a better job of managing and preventing health problems.

A study led by the Center for Connected Health found that people who use mobile devices did a better job of lowering dangerous blood pressure and blood sugar levels.

A separate study published in the July 2014 issue of Health Affairs found that data collected by devices is not only useful for patients but can help doctors find better treatments.

"When linked to the rest of the available electronic data, patient-generated health data completes the big data picture of real people's needs, life beyond the health care system," said Amy Abernethy, a Duke University professor of medicine lead author of the study.

Some firms have even more ambitious plans for health technology.

Google, for example, is developing a connecting contract lens which can help monitor diabetics and has set up a new company called Calico to focus on health and well-being, hinting at cooperation with rivals such as Apple. And IBM is using its Watson supercomputer for medical purposes including finding the right cancer treatment.

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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology

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Can a smartphone be used to reliably detect early symptoms of autism spectrum disorder?

From jamanetwork.com - May 16, 2021 11:17 AM

Atypical eye gaze is an early-emerging symptom of autism spectrum disorder (ASD) and holds promise for autism screening.

Current eye-tracking methods are expensive and require special equipment and calibration. There is a need for scalable, feasible methods for measuring eye gaze.

This case-control study examines whether a mobile app that displays strategically designed brief movies can elicit and quantify differences in eye-gaze patterns of toddlers with autism spectrum disorder (ASD) vs those with typical development.

In effect, using computational methods based on computer vision analysis, can a smartphone or tablet be used in real-world settings to reliably detect early symptoms of autism spectrum disorder?

Findings

In this study, a mobile device application deployed on a smartphone or tablet and used during a pediatric visit detected distinctive eye-gaze patterns in toddlers with autism spectrum disorder compared with typically developing toddlers, which were characterized by reduced attention to social stimuli and deficits in coordinating gaze with speech sounds.

What this means

These methods may have potential for developing scalable autism screening tools, exportable to natural settings, and enabling data sets amenable to machine learning.

Conclusions and Relevance

The app reliably measured both known and new gaze biomarkers that distinguished toddlers with ASD vs typical development. These novel results may have potential for developing scalable autism screening tools, exportable to natural settings, and enabling data sets amenable to machine learning.

read the study at https://jamanetwork.com/journals/jamapediatrics/fullarticle/2779395

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nrip's curator insight, May 15, 2021 1:23 PM

Identifying autism in toddlers is helpful to starting care for it early. This study's results demonstrate that with an app based approach coupled with an algorithmic approach, it is certainly possible to get possibly affected children in for detailed clinical evaluations earlier and fairly cheaply.

Thus, doctors will be able to install an app on their smartphone/tablet, one that is capable of analyzing the visual gaze of a toddler in order to determine if they may be on the autism spectrum.

And, in time, parents and family members will be able to download it onto their own smartphones/tablets carry out the screening themselves.

kens's curator insight, September 10, 2022 7:07 PM

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greco's curator insight, December 29, 2022 4:04 PM

une idee qui pourrait etre un bon outil pour aider au depistage, qui fonctionne comme une ia, mais a ne pas detrouner de son usage malgré la fréquences des tsa chez les jeunes et leur nombreuses conséquences sociales et developpementales. il s'agit d'une application qui se sert d'une base de donnée référence, qui compare les regards associes a des stimulas divers.