Literature DB >> 27282168

[App-based self-monitoring in type 2 diabetes].

A Steinert1, M Haesner2, E Steinhagen-Thiessen2.   

Abstract

BACKGROUND: The success of self-monitoring in the treatment of type 2 diabetes mellitus has already been verified in several studies. To date there are a multitude of smartphone apps which support diabetic patients in systematically recording and analyzing relevant health data; however, most of these smartphone apps are primarily developed for a young target group.
OBJECTIVE: As part of this study we examined to what extent a smartphone app for self-monitoring is used by older diabetic patients.
METHODS: In this study 36 adults with type 2 diabetes mellitus older than 60 years were included. After a comprehensive training course the participants used the application for 3 months. Reminders for medication, physical activity and diet could be set and recorded health data, such as weight or blood sugar, could be entered into the app. After 3 months the data were analyzed concerning usage behavior and impact on overall health.
RESULTS: Data analysis revealed intensive usage of the smartphone app (90 % on a daily basis). Furthermore, according to the patients, after the study period significant improvements in medication adherence and psychological well-being were recorded [t[35] = -2.24, p < 0.05). Additional motivational elements did not influence the usage behavior by older adults.
CONCLUSION: Until now only a small proportion of older adults used smartphone health apps, despite the ubiquitous availability. These apps have to be tailored to the requirements of older adults so that the market will be opened up to them. Using self-monitoring apps can help older adults to structure their daily routine despite their disease.

Entities:  

Keywords:  Mobile applications; Motivation; Older adults; Selfmanagement; Smartphone

Mesh:

Substances:

Year:  2016        PMID: 27282168     DOI: 10.1007/s00391-016-1082-5

Source DB:  PubMed          Journal:  Z Gerontol Geriatr        ISSN: 0948-6704            Impact factor:   1.281


  10 in total

1.  Meal-related structured self-monitoring of blood glucose: effect on diabetes control in non-insulin-treated type 2 diabetic patients.

Authors:  Ulrich Schwedes; Markus Siebolds; Gabriele Mertes
Journal:  Diabetes Care       Date:  2002-11       Impact factor: 19.112

2.  Development and psychometric evaluation of the Resilience Scale.

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Journal:  J Nurs Meas       Date:  1993

3.  The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity.

Authors:  Jaana Lindström; Anne Louheranta; Marjo Mannelin; Merja Rastas; Virpi Salminen; Johan Eriksson; Matti Uusitupa; Jaakko Tuomilehto
Journal:  Diabetes Care       Date:  2003-12       Impact factor: 19.112

4.  Self-monitoring of blood glucose significantly improves metabolic control in patients with type 2 diabetes mellitus: the Auto-Surveillance Intervention Active (ASIA) study.

Authors:  B Guerci; P Drouin; V Grangé; P Bougnères; P Fontaine; V Kerlan; P Passa; Ch Thivolet; B Vialettes; B Charbonnel
Journal:  Diabetes Metab       Date:  2003-12       Impact factor: 6.041

5.  Using smartphone technology to monitor physical activity in the 10,000 Steps program: a matched case-control trial.

Authors:  Morwenna Kirwan; Mitch J Duncan; Corneel Vandelanotte; W Kerry Mummery
Journal:  J Med Internet Res       Date:  2012-04-20       Impact factor: 5.428

6.  Does self-monitoring of blood glucose improve outcome in type 2 diabetes? The Fremantle Diabetes Study.

Authors:  W A Davis; D G Bruce; T M E Davis
Journal:  Diabetologia       Date:  2007-01-20       Impact factor: 10.122

7.  A Smartphone Application Significantly Improved Diabetes Self-Care Activities with High User Satisfaction.

Authors:  Yu Jin Kim; Sang Youl Rhee; Jong Kyu Byun; So Young Park; Soo Min Hong; Sang Ouk Chin; Suk Chon; Seungjoon Oh; Jeong-Taek Woo; Sung Woon Kim; Young Seol Kim
Journal:  Diabetes Metab J       Date:  2015-04-22       Impact factor: 5.376

Review 8.  Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older.

Authors:  Madlen Arnhold; Mandy Quade; Wilhelm Kirch
Journal:  J Med Internet Res       Date:  2014-04-09       Impact factor: 5.428

9.  Acceptance factors of mobile apps for diabetes by patients aged 50 or older: a qualitative study.

Authors:  Madlen Scheibe; Julius Reichelt; Maike Bellmann; Wilhelm Kirch
Journal:  Med 2 0       Date:  2015-03-02

10.  Predictive validity of a medication adherence measure in an outpatient setting.

Authors:  Donald E Morisky; Alfonso Ang; Marie Krousel-Wood; Harry J Ward
Journal:  J Clin Hypertens (Greenwich)       Date:  2008-05       Impact factor: 2.885

  10 in total
  2 in total

Review 1.  Mobile Application-Based Interventions for Chronic Pain Patients: A Systematic Review and Meta-Analysis of Effectiveness.

Authors:  Ann-Christin Pfeifer; Riaz Uddin; Paul Schröder-Pfeifer; Felix Holl; Walter Swoboda; Marcus Schiltenwolf
Journal:  J Clin Med       Date:  2020-11-05       Impact factor: 4.241

Review 2.  Benefits of Mobile Apps in Pain Management: Systematic Review.

Authors:  Simon E Thurnheer; Isaac Gravestock; Giuseppe Pichierri; Johann Steurer; Jakob M Burgstaller
Journal:  JMIR Mhealth Uhealth       Date:  2018-10-22       Impact factor: 4.773

  2 in total

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