scholarly journals Features, Behavioral Change Techniques, and Quality of the Most Popular Mobile Apps to Measure Physical Activity: Systematic Search in App Stores (Preprint)

2018 ◽  
Author(s):  
Patrícia Simões ◽  
Anabela G Silva ◽  
João Amaral ◽  
Alexandra Queirós ◽  
Nelson P Rocha ◽  
...  

BACKGROUND It is estimated that 23% of adults and 55% of older adults do not meet the recommended levels of physical activity. Thus, improving the levels of physical activity is of paramount importance, but it requires the use of low-cost resources that facilitate universal access without depleting the health system. The high number of apps available constitutes an opportunity, but it also makes it quite difficult for the layperson to select the most appropriate app. Furthermore, the information available in the app stores is often insufficient, lacks quality, and is not evidence based, and the systematic reviews fail to assess app quality using standardized and validated instruments. OBJECTIVE The objective of this study was to systematically assess the features, content, and quality of the most popular apps that can be used to measure and, potentially, promote physical activity. METHODS Systematic searches were conducted on Apple App Store, Google Play, and Windows Phone Store between December 2017 and January 2018. Apps were included if their primary objective was to assess the aspects of physical activity, if they had a user rating of at least 4, if their number of ratings was ≥100, and if they were free. Apps meeting these criteria were independently assessed by two reviewers regarding their general and technical information, aspects of physical activity, presence of behavioral change techniques, and quality. Data were analyzed using means and SDs or frequencies and percentages. RESULTS Of 51 apps included, none specified the age of the target group and only one mentioned the involvement of health professionals. Most apps offered the possibility to work in background (n=50) and allowed data sharing (n=40). Regarding physical activity, most apps measured steps and distance (n=11) or steps, distance, and time (n=17). Only 18 apps, all of which measured number of steps, followed the guidelines on recommendations for physical activity. On average, 5.5 (SD 1.8) behavioral change techniques were identified per app; the most frequently used techniques were “provide feedback on performance” (n=50) and “prompt self-monitoring of behavior” (n=50). The overall quality score was 3.88 (SD 0.34). CONCLUSIONS Although the overall quality of the apps was moderate, the quality of their content, particularly the use of international guidelines on physical activity, should be improved. Additionally, a more in-depth assessment of apps should be performed before releasing them for public use, particularly regarding their reliability and validity.

10.2196/11281 ◽  
2018 ◽  
Vol 6 (10) ◽  
pp. e11281 ◽  
Author(s):  
Patrícia Simões ◽  
Anabela G Silva ◽  
João Amaral ◽  
Alexandra Queirós ◽  
Nelson P Rocha ◽  
...  

2020 ◽  
Vol 44 (2) ◽  
Author(s):  
Anabela G. Silva ◽  
Patrícia Simões ◽  
Alexandra Queirós ◽  
Mário Rodrigues ◽  
Nelson P. Rocha

2018 ◽  
Author(s):  
Anna L Roberts ◽  
Henry WW Potts ◽  
Dimitrios A Koutoukidis ◽  
Lee Smith ◽  
Abigail Fisher

BACKGROUND Physical activity (PA) can improve a range of outcomes following a cancer diagnosis. These include an improvement in experience of side effects of treatment (eg, fatigue) and management of comorbid conditions. PA might also increase survival and reduce recurrence. Digital interventions have shown potential for PA promotion among cancer survivors, but most in a previous review were Web-based, and few studies used mobile apps. There are many PA apps available for general public use, but it is unclear whether these are suitable as a PA intervention after a cancer diagnosis. OBJECTIVE This study sought posttreatment nonmetastatic breast, prostate, and colorectal cancer survivors’ opinions of using smartphone apps to promote PA and gathered their views on existing publicly available PA apps to inform a future intervention. METHODS Each participant was randomly assigned to download 2 of 4 apps (Human, The Walk, The Johnson & Johnson Official 7 Minute Workout, and Gorilla Workout). Participants used each app for 1 week consecutively. In-depth semistructured telephone interviews were then conducted to understand participants’ experiences of using the apps and how app-based PA interventions could be developed for cancer survivors. The interviews were analyzed using thematic analysis. RESULTS Thirty-two participants took part: 50% (16/32) had prostate cancer, 25% (8/32) had breast cancer, and 25% (8/32) had colorectal cancer. Three core themes were identified. The first theme was that multiple factors affect engagement with PA apps and this is highly personalized. Factors affecting engagement included participants’ perceptions of (1) the advantages and disadvantages of using apps to support PA, (2) the relevance of the app to the user (eg, in terms of cancer-related factors, their PA goals, the difficulty level of the app, the way in which they interact with their mobile phone, and the extent to which the app fits with their self-identity), (3) the quality of the app (eg, usability, accuracy, quality of production, and scientific evidence-base), and (4) the behavior change techniques used to promote PA. In the second theme, participants recommended that apps that promote walking are most appealing, as walking removes many barriers to PA. Finally, the participants suggested that PA apps should be integrated into cancer care, as they valued guidance and recommendations from health care professionals. CONCLUSIONS This sample of breast, prostate, and colorectal cancer survivors was receptive to the use of apps to promote PA. Although no publicly available PA app was deemed wholly suitable, many suggestions for adaptation and intervention development were provided. The results can inform the development of an app-based PA intervention for cancer survivors. They also highlight the wide-ranging and dynamic influences on engagement with digital interventions, which can be applied to other evaluations of mobile health products in other health conditions and other health behaviors.


2017 ◽  
Vol 24 (5) ◽  
pp. 1002-1013 ◽  
Author(s):  
Hamed Abedtash ◽  
Richard J Holden

Abstract Background: Portable activity sensing devices (PASDs) have received significant interest as tools for objectively measuring activity-related parameters and promoting health-related outcomes. Studies of PASDs suggest the potential value of integrating them with behavioral interventions to improve intermediate and downstream clinical outcomes. Objectives: This systematic review describes and evaluates evidence from controlled studies of interventions using PASDs on their effectiveness in health-related outcomes. Study quality was also assessed. Methods: A systematic literature search was performed of MEDLINE, Cochrane Central Register of Controlled Trials, PsycINFO, EMBASE, and CINAHL databases. We included English-language papers of controlled trials through 2015 reporting the effectiveness of PASDs in improving health-related outcomes in any population. We extracted and analyzed data on study characteristics including design, target population, interventions, and findings. Results: Seventeen trials met the inclusion criteria from a total of 9553 unique records. Study objectives varied greatly, but most sought to increase physical activity. Studies with a “passive” intervention arm using a PASD with minimal behavioral support generally did not demonstrate effectiveness in improving health-related outcomes. Interventions integrating PASDs with multiple behavioral change techniques were more likely to be effective, particularly for intermediate outcomes such as physical activity and weight loss. Trials had small sample sizes but were generally free of bias, except for blinding and selection bias. Conclusion: There is insufficient evidence to draw a conclusion about the general health-related benefits of PASD interventions. PASD interventions may improve intermediate outcomes when coupled with multiple behavioral change techniques. Devices alone or with minimal behavioral change support are insufficient to change health-related outcomes.


2019 ◽  
Author(s):  
Anabela G Silva ◽  
Patrícia Simões ◽  
Rita Santos ◽  
Alexandra Queirós ◽  
Nelson P Rocha ◽  
...  

BACKGROUND The usability of electronic health (eHealth) and mobile health apps is of paramount importance as it impacts the quality of care. Methodological quality assessment is a common practice in the field of health for different designs and types of studies. However, we were unable to find a scale to assess the methodological quality of studies on the usability of eHealth products or services. OBJECTIVE This study aimed to develop a scale to assess the methodological quality of studies assessing usability of mobile apps and to perform a preliminary analysis of of the scale’s feasibility, reliability, and construct validity on studies assessing usability of mobile apps, measuring aspects of physical activity. METHODS A 3-round Delphi panel was used to generate a pool of items considered important when assessing the quality of studies on the usability of mobile apps. These items were used to write the scale and the guide to assist its use. The scale was then used to assess the quality of studies on usability of mobile apps for physical activity, and it assessed in terms of feasibility, interrater reliability, and construct validity. RESULTS A total of 25 experts participated in the Delphi panel, and a 15-item scale was developed. This scale was shown to be feasible (time of application mean 13.10 [SD 2.59] min), reliable (intraclass correlation coefficient=0.81; 95% CI 0.55-0.93), and able to discriminate between low- and high-quality studies (high quality: mean 9.22 [SD 0.36]; low quality: mean 6.86 [SD 0.80]; <italic>P</italic>=.01). CONCLUSIONS The scale that was developed can be used both to assess the methodological quality of usability studies and to inform its planning.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Selman Repišti ◽  
Nikolina Jovanović ◽  
Martina Rojnić Kuzman ◽  
Sara Medved ◽  
Stefan Jerotić ◽  
...  

AbstractObjectiveThe primary objective of this paper is to present a short measure of perceptions on the impact of the COVID-19 pandemic on quality of life, along with analysis of its reliability and validity in non-clinical and clinical samples.MethodsThe scale was named The COV19 – Impact on Quality of Life (COV19-QoL) and it consists of six items presented in the form of a 5-point Likert scale. The items (i.e. statements) cover main areas of quality of life with regard to mental health. The scale was administered to 1346 participants from the general population in Croatia (the non-clinical sample) and 201 patients with severe mental illness recruited from four European countries (Bosnia and Herzegovina, Montenegro, North Macedonia and Serbia), constituting the clinical sample. The clinical sample was part of the randomised controlled trial IMPULSE funded by the European Commission. Data on age and gender were collected for both samples, along with psychiatric diagnoses collected for the clinical sample.ResultsMain findings included a high internal consistency of the scale and a moderate to strong positive correlation among participants’ scores on different items. Principal component analysis yielded one latent component. The correlation between participants’ age and their results on COV19-QoL was negligible. Participants’ perceived quality of life was the most impacted domain, whereas mental health, personal safety and levels of depression were the least impacted domains by the pandemic.DiscussionThe COV19-QoL is a reliable and valid scale which can be used to explore the impact of COVID-19 on quality of life. The scale can be successfully used by researchers and clinicians interested in the impact of the pandemic on people experiencing various pre-existing mental health issues (e.g. anxiety, mood and personality disorders) as well as those without such issues.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Reema A. Karasneh ◽  
Sayer I. Al-Azzam ◽  
Karem H. Alzoubi ◽  
Suhaib M. Muflih ◽  
Sahar S. Hawamdeh

Background. The use of mobile apps for health and well-being has grown exponentially in the last decade, as such apps were reported to be ideal platforms for behavioral change and symptoms monitoring and management. Objective. This study aimed to systematically review period tracking applications available at Google Play and Apple App Stores and determine the presence, features, and quality of these smartphone apps. In addition, behavioral changes associated with the top 5 rated apps were assessed. Methods. This study used the Systematic Search Criteria through Google Play Store and iTunes Apple Store, using terms related to period tracking. Apps were scanned for matching the inclusion criteria and the included apps were assessed by two reviewers using the Mobile Application Rating Scale (MARS), a tool that was developed for classifying and assessing the quality of mHealth apps. Results. Forty-nine apps met the inclusion criteria. Most of the apps enabled setting user goals, motivations, and interactivity, tracking multiple symptoms or mood changes, allowed notifications, and used graphs to illustrate the tracking result over a specific period of time. The majority of features and functions within these apps were offered for free, while some apps included limited in-app purchases or needed Internet connection to function. Certain apps were reported by participants to promote behavioral change and increase knowledge and awareness regarding monthly periods. Conclusions. Period tracking apps were easy to use and navigate and can hence be readily adopted into routine tracking and management of periods. However, most apps were not based on significant evidence and may need further development to support period-related symptom management.


Author(s):  
Adhitya Mardhika Saputra ◽  
Noni Mardeka Sary

Perkembangan perokok di kalangan anak-anak dan remaja semakin meningkat, baik secara kuantitas maupun kualitas. Data Global Youth Tobacco Survey terakhir di tahun 2009, menunjukkan 20,3% anak sekolah 13 - 15 tahun merokok. Perokok pemula usia 10 - 14 tahun naik 2 kali lipat dalam 10 tahun terakhir dari 9,5% pada tahun 2001 menjadi 17,5% pada tahun 2010. Angka perokok pada usia remaja yang tinggi meningkatkan risiko penyakit. Berdasarkan penelitian, para perokok yang terus merokok dalam jangka panjang memiliki risiko kematian tiga kali lebih tinggi daripada mereka yang bukan perokok. Individu mulai merokok disebabkan oleh pengaruh lingkungan sosial, seperti teman-teman, orang tua, dan media sehingga diperlukan suatu konseling terhadap remaja, salah satu metode konseling dengan pendekatan model transteoritik. Dalam beberapa kajian, terbukti model transteoritik efektif dalam mengubah perilaku merokok pada remaja. Berdasarkan kajian tersebut, diharapkan para konselor dalam memberikan konseling hendaknya memperhatikan kesiapan klien dalam mengubah perilaku hidupnya (aktivitas fisik) sesuai dengan tahap-tahapan yang ada dalam model transteoritik.The quantitiy and quality of smoking habits in adolescents are rising, steadily. According to Data Global Youth Tobacco Survey in 2009, showed 20.3% of school children 13 - 15 years were smoking. A beginner smokers aged 10 - 14 years increased 2-fold in the last 10 years from 9.5% in 2001 to 17.5% in 2010. High number of smokers in adolescence will increase the risk of disease. Based on studies, smokers who keep smoking in the long term would face the possibility of death three times higher than nonsmokers. People started to smoke because the influence of the social environment such as friends, parents, and the media thus needed a counseling to adolescents that is one with the approaches of counseling methods transtheoritical model (TTM).Transtheoritical models in several studies provedeffective in changing smoking behavior in adolescents. Based on the study is expected to provide counselors should keep in readiness counseling clients in behavioral change his life (physical activity), it has been doing according to the stages in the transtheoritical model.


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