Literature DB >> 27332253

Mobile Apps Providing Tailored Nursing Interventions for Patients with Metabolic Syndrome.

Eunjoo Jeon1, Hyeoun-Ae Park1, Soojung Jo1, Hannah Kang1, Joo Yun Lee1.   

Abstract

OBJECTIVES: This study developed and evaluated four mobile applications (apps) that provide tailored nursing recommendations for metabolic syndrome management.
METHODS: Mobile apps for obesity, gestational diabetes, hypertension, and hyperlipidemia management were developed according to the system development life cycle and evaluations by experts and users.
RESULTS: Six lifestyle management and five disease-specific knowledge domains were extracted. Functions such as 'Log in' and 'Record data using diary' to be used in all of the apps were extracted, while disease-specific functions were also extracted, including 'Determine the goal' to be used in the obesity app. The proficiency and efficiency of the algorithms ranged from 69.0 to 100.0. In a heuristics evaluation all of the problems were resolved and all of the usability scores exceeded 3.5 out of 5.
CONCLUSION: This study demonstrates that metabolic syndrome can be effectively managed using special functions provided by smartphones, such as automatic feedback, alerts, diaries, and social media integration. Future work will include integrating and harmonizing these four apps in order to improve their semantic interoperability.

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Year:  2016        PMID: 27332253

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

Review 1.  Mobile Health Solutions for Hypertensive Disorders in Pregnancy: Scoping Literature Review.

Authors:  Octavio Rivera-Romero; Alberto Olmo; Rocío Muñoz; Pablo Stiefel; María Luisa Miranda; Luis M Beltrán
Journal:  JMIR Mhealth Uhealth       Date:  2018-05-30       Impact factor: 4.773

2.  A human centered approach to design a diet app for patients with metabolic syndrome.

Authors:  Ashish Joshi; Chioma Amadi; Harleigh Schumer; Leah Galitzdorfer; Ann Gaba
Journal:  Mhealth       Date:  2019-09-25

Review 3.  Mobile phone apps for clinical decision support in pregnancy: a scoping review.

Authors:  Jenny Carter; Jane Sandall; Andrew H Shennan; Rachel M Tribe
Journal:  BMC Med Inform Decis Mak       Date:  2019-11-12       Impact factor: 2.796

  3 in total

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