The Development of the Evaluating Technological Features Tool on Smartphone Application for Walking/Running and Physical Activity Tracking for Adults

Authors

  • Kurusart Konharn -
  • Sureeporn Pimphan
  • Kridsakorn Suriyakan
  • Jiraphat Jankaew
  • Jirachai Karawa
  • Silada Intarasothonchun
  • Paramaporn Sangpara

Keywords:

Development, Physical activity, Technological features, Development of an application

Abstract

Using of health-and-fitness smartphone applications is rapidly growing among adults, while the technological features have play a major role on motivation and promotion in increasing physical activity engagement among the users. However, there has no a particular tool for evaluating technological features on smartphone application for walking/running and physical activity tracking for adults that appropriate to the extremely rapidly changes in current smartphone technology. Therefore, the objective of this study was to develop a survey for assessing the technological features on smartphone application for walking/running and physical activity tracking for adults in both Android and iOS operation. In order to achieve the specific smartphone application features based on the specific use’s objective that the health professional and related specialists can be implicating and suggesting to their relevant subjects. This developed survey consisted of 6 domains on evaluation such as measuring and monitoring, information and analysis, support and feedback, adaptation, social, competition and comparison, and contact to health expert. Content validity test showed the Index of Item-Objective Congruence (IOC) was 0.86, interclass correlation coefficient (ICC) was excellent (ICC = 0.98), and the inter-rater reliability as well as intra-rater reliability examination also demonstrated excellent levels (ICC = 0.98-0.99). The results of this study confirmed our developed survey tool can be used with high precision for evaluating technological features on smartphone application in order to select an appropriate application to promote walking/running and physical activity for adults.

References

Abolfotouh, M.A., BaniMustafa, A., Salam, M., Al-Assiri,

M., Aldebasi, B., & Bushnak, I. (2019). Use of

smartphone and perception towards the usefulness

and practicality of its medical applications among

healthcare workers in Saudi Arabia. BMC Health

Services Research, 19(1), 826.

Anderson-Bill, E. S., Winett, R. A., & Wojcik, J. R.

(2011). Social cognitive determinants of nutrition

and physical activity among web-health users

enrolling in an online intervention: the influence

of social support, self-efficacy, outcome expectations, and self-regulation. Journal of Medical

Internet Research, 13(1):e28.

Apptopia. (2022). The Most Downloaded Health &

Fitness Apps in H1 2022. Retrieved 24 May 2023

from https://blog.apptopia.com/sweatcoin-mostdownloaded-app-worldwide-h1-2022

Bauer, M., Glenn, T., Geddes, J., Gitlin, M., Grof, P.,

Kessing, L. V., … & Whybrow, P. C. (2020).

Smartphones in mental health: a critical review

of background issues, current status and future

concerns. International Journal of Bipolar

Disorders, 8, 1-19.

Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K.,

Buman, M.P., Cardon, G., … & Willumsen, J.

F. (2020). World Health Organization 2020

guidelines on physical activity and sedentary

behaviour. British Journal of Sports Medicine,

(24), 1451-1462.

D'Addario, M., Baretta, D., Zanatta, F., Greco, A., &

Steca, P. (2020). Engagement features in physical

activity smartphone apps: focus group study with

sedentary people. JMIR mHealth and uHealth,

(11), e20460.

DeJong, A.F., Fish, P.N., & Hertel, J. (2021). Running

behaviors, motivations, and injury risk during

the COVID-19 pandemic: A survey of 1147

runners. PLoS One, 16(2), e0246300.

Department of Health, Ministry of Public Health.

(2021). Impact of Covid-19 Pandemic on

Physical Activity in 2021. Retrieved 15 March

from http://www.thaincd.com/2016/mediadetail.php?id=14116&tid=&gid=1-015-005.

[In Thai].

Department of Health, Ministry of Public Health.

(2020). Report on Working-Age Population

Health. Retrieved 26 January 2022 from https://

datahpc9.anamai.moph.go.th/group_sr/allfile/

pdf. [In Thai].

Hongsanun, W. & Insuk, S. (2019). Development of the

Thai mobile health apps rating scale (THARS).

Thai Journal of Pharmacy Practice, 11(1), 181-193.

[In Thai].

Karnjanapiboonwong, A., Kumwungsanga, P., &

Kaewtha S. (2019). Report on the prevalence of

NCDs Diabetes Hypertension and their risk

factors in 2019. Department of Disease Control,

Ministry of Public Health. [In Thai].

Kongchan, W. (2017). Interactive features in mobile

fitness applications and usage behavior of

millennial users. Journal of Communication and

Management NIDA, 3(1), 88-98. [In Thai].

Koo, T. K., & Li, M. Y. (2016). A guideline of selecting

and reporting intraclass correlation coefficients

for reliability research. Journal of Chiropractic

Medicine, 15(2), 155-163.

Market Business News. (2023). The Latest Trends in

Health and Fitness App Development. Retrieved

May 2023 from https://marketbusinessnews.

com/the-latest-trends-in-health-and-fitness-appdevelopment/327789/

Mollee, J. S., Middelweerd, A., Kurvers, R. L. & Klein,

M.C.A. (2017). What technological features are

used in smartphone apps that promote physical

activity? A review and content analysis. Personal

and Ubiquitous Computing, 21, 633-643.

Moses, J. C., Adibi, S., Shariful Islam, S. M.,

Wickramasinghe, N., & Nguyen, L. (2021).

Application of smartphone technologies in

disease monitoring: a systematic review.

Healthcare, 9(7), 889.

Nhusawia, K., Mattayakornb, K., Ruangthaia, R., &

Prachakula, W. (2022). Causal relationship

model for maintaining exercise behavior among

Thai university staff: Integration of transtheoretical

model and self-determination theory. Kasetsart

Journal of Social Sciences, 43(4), 883-890.

Pattanasombutsook, M. (2021). Validation of nursing

research reports and proper use of social science

research instruments in publishing. The Southern

College Network Journal of Nursing and Public

Health, 8(2), 189-204. [In Thai].

Phuekphan, P., Setchoduk, K., & Saiklang P. (2022).

The psychological impacts of COVID-19

pandemic on nursing students. Thai Journal of

Nursing, 71(4), 55-62. [In Thai].

Pomkai, N., Sangsawang, A., & Chulert, P. (2022).

Virtual Community for Active lifestyle. Retrieved

January 2023 from https://tpak.or.th/th/article/

[In Thai].

Ranney, M. L., Stettenbauer, E.G., Delgado, M. K., Yao,

K. A., & Orchowski, L. M. (2022). Uses of

mHealth in Injury Prevention and Control: a

Critical Review. Current Epidemiology Reports,

(4), 273-281.

Srisupak, R., Srisawangwong, P., Ratdhanadharm, P., &

Na-Sangiam. (2022). An innovative personal

healthcare mobile application for the elderly.

Faculty of Science and Technology, Rajabhat

Maha Sarakham University. [In Thai].

Tanachote, P. (2021). Case Study: Strategy of Strava

development, Favorite application of runners

as a new experience to exercise. Retrieved 9

January 2023 from https://thegrowthmaster.com/

case-study/strava. [In Thai].

Thansettakij Newspaper. (2021). Trends of Home

Exercise on Effect to Promote Health and

Fitness Applications. Retrieved 29 January 2023

from https://www.thansettakij.com/tech/497341.

[In Thai].

Velvetech. (2023). Mobile App Update: Why and How.

Retrieved 23 May 2023 from https://www.

velvetech.com/blog/mobile-app-update/.

Waltz, C.F., Strickland, O. & Lenz, E.R. (2010).

Measurement in nursing and health research.

New York: Springer Publishing Company.

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Published

2023-10-09

How to Cite

Konharn, K., Pimphan, S. ., Suriyakan, K. ., Jankaew, J. ., Karawa, J. ., Intarasothonchun, S. ., & Sangpara, P. . (2023). The Development of the Evaluating Technological Features Tool on Smartphone Application for Walking/Running and Physical Activity Tracking for Adults. NU Journal of Nursing and Health Sciences, 17(3), 89–105. Retrieved from https://he01.tci-thaijo.org/index.php/NurseNu/article/view/262409