Mobile app as a tool to collect health data: a survey on vaccination against COVID-19

Krieger E.A.

Northern State Medical University

Kudryavtsev A.V.

Northern State Medical University;
UiT The Arctic University of Norway

ORCID: 0000-0001-8902-8947

Samodova O.V.

Northern State Medical University

Bashkirev D.S.

Northern State Medical University

Mitkin N.A.

Northern State Medical University

Kontsevaya A.V.

National Medical Research Center for Therapy and Preventive Medicine

SPIN RSCI: 6787-2500
Scopus AuthorID: 55672262900
ORCID: 0000-0003-2062-1536

Postoev V.A.

Northern State Medical University

Mobile app as a tool to collect health data: a survey on vaccination against COVID-19

Authors:

Krieger E.A., Kudryavtsev A.V., Samodova O.V., Bashkirev D.S., Mitkin N.A., Kontsevaya A.V., Postoev V.A.

More about the authors

Journal: Russian Journal of Preventive Medicine. 2022;25(8): 31‑41

DOI: 10.17116/profmed20222508131

Downloaded: 74

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To cite this article:

Krieger EA, Kudryavtsev AV, Samodova OV, Bashkirev DS, Mitkin NA, Kontsevaya AV, Postoev VA. Mobile app as a tool to collect health data: a survey on vaccination against COVID-19. Russian Journal of Preventive Medicine. 2022;25(8):31‑41. (In Russ.)
https://doi.org/10.17116/profmed20222508131

Подписка 2025-2 (Russian Journal of Preventive Medicine)

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OBJECTIVE

To evaluate the feasibility of using a mobile app to collect health-related data and the impact of this data collection method on the results obtained, using the COVID-19 vaccination attitude assessment as an example.

RESULTS

Of the total number of subjects invited to participate in the study, 611 (34.5%) installed the mobile app, and 150 (8.5%) participated in the survey. Subjects under 65 were more likely to install the application than those 65—74, as were subjects with a steady job versus those without one. Subjects under 65 years of age showed a higher responding rate to the invitation to participate in the mobile survey. Individuals who abused alcohol were less likely to agree to participate in the mobile survey. The majority of respondents are vaccinated against COVID-19 (81%). Vaccinated subjects and those confident in the effectiveness of non-specific preventive measures were more likely to have positive attitudes towards vaccination.

CONCLUSION

The low response rate to the survey resulting in an unrepresentative sample determined the low effectiveness of the survey using the mobile app. When overcoming these obstacles, mobile applications have the potential to be used in scientific research due to their high speed, accessibility, and ease of data collection.

Keywords:

mobile app

survey

COVID-19

Authors:

Krieger E.A.

Northern State Medical University

Kudryavtsev A.V.

Northern State Medical University;
UiT The Arctic University of Norway

ORCID: 0000-0001-8902-8947

Samodova O.V.

Northern State Medical University

Bashkirev D.S.

Northern State Medical University

Mitkin N.A.

Northern State Medical University

Kontsevaya A.V.

National Medical Research Center for Therapy and Preventive Medicine

SPIN RSCI: 6787-2500
Scopus AuthorID: 55672262900
ORCID: 0000-0003-2062-1536

Postoev V.A.

Northern State Medical University

Received:

16.05.2022

Accepted:

14.06.2022

List of references:

Mobile Share of Web Traffic 2021. Statista — The Statistics Portal for Market Data, Market Research and Market Studies. [Website]. Accessed April 04, 2022. https://www.statista.com/statistics/277125/share-of-website-traffic-coming-from-mobile-devices/
Abdrahmanova GI, Bondarenko NV, Vishnevskij KO, Gohberg LM, Kevesh MA, Kovaleva GG, Kocemir MN, Mil’shina YuV, Myazina Eyu, Tokareva MS, Shugal’ NB. Razvitie Interneta v Rossii. Analiticheskij doklad. M.: NIU VSHE; 2018. (In Russ.).
Dufau S, Duñabeitia JA, Moret-Tatay C, McGonigal A, Peeters D, Alario FX, Balota DA, Brysbaert M, Carreiras M, Ferrand L, Ktori M, Perea M, Rastle K, Sasburg O, Yap MJ, Ziegler JC, Grainger J. Smart phone, smart science: how the use of smartphones can revolutionize research in cognitive science. PloS One. 2011;6(9):e24974. https://doi.org/10.1371/journal.pone.0024974
Marcano Belisario JS, Jamsek J, Huckvale K, O’Donoghue J, Morrison CP, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. The Cochrane Database of Systematic Reviews. 2015;2015(7):MR000042. https://doi.org/10.1002/14651858.MR000042.pub2
Mavletova AM. Mobil’nye veb-oprosy. Onlajn issledovaniya v Rossii 3.0. Pod red. Shashkina A.V., Devyatko I.F., Davydova S.G. M.: Izdatel’skij dom «Kodeks»; 2012. (In Russ.).
Triantafyllidis A, Kondylakis H, Votis K, Tzovaras D, Maglaveras N, Rahimi K. Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. International Journal of Medical Informatics. 2019;132:103984. https://doi.org/10.1016/j.ijmedinf.2019.103984
Kouroubali A, Kondylakis H, Kavlentakis G, Logothetides F, Stathiakis N, Petrakis Y, Tzikoulis V, Kostomanolakis S, Katehakis DG. An eHealth Platform for the Holistic Management of COVID-19. Studies in Health Technology and Informatics. 2020;273:182-188. https://doi.org/10.3233/SHTI200636
Katehakis DG, Kavlentakis G, Stathiakis N, Logothetidis F, Kouroubali A, Kondylakis H, Petrakis Y, Tzikoulis V, Kostomanolakis S. An outbreak response tool to effectively support surveillance of suspect, probable and confirmed incidence cases while staying safe in COVID-19. 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). 2020;432-437. https://doi.org/10.1109/BIBE50027.2020.00076
Smith AC, Thomas E, Snoswell CL, Haydon H, Mehrotra A, Clemensen J, Caffery LJ. Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19). Journal of Telemedicine and Telecare. 2020;26(5): 309-313. https://doi.org/10.1177/1357633X20916567
Cook S, Malyutina S, Kudryavtsev AV, Averina M, Bobrova N, Boytsov S, Brage S, Clark TG, Diez Benavente E, Eggen AE, Hopstock LA, Hughes A, Johansen H, Kholmatova K, Kichigina A, Kontsevaya A, Kornev M, Leong D, Magnus P, Mathiesen E, McKee M, Morgan K, Nilssen O, Plakhov I, Quint JK, Rapala A, Ryabikov A, Saburova L, Schirmer H, Shapkina M, Shiekh S, Shkolnikov VM, Stylidis M, Voevoda M, Westgate K, Leon DA. Know Your Heart: Rationale, design and conduct of a cross-sectional study of cardiovascular structure, function and risk factors in 4500 men and women aged 35-69 years from two Russian cities, 2015-18. Wellcome Open Research. 2018;3:67. https://doi.org/10.12688/wellcomeopenres.14619.3
The Global Health Observatory [Website]. World Health Ogranization. 2022. Accessed April 27, 2022. https://www.who.int/data/gho/data/indicators/indicator-details/GHO/alcohol-heavy-episodic-drinking-(15-)-past-30-days-(-)-age-standardized-with-95-ci
Escoffery C. Gender Similarities and Differences for e-Health Behaviors Among U.S. Adults. Telemedicine Journal and e-Health. 2018;24(5):335-343. https://doi.org/10.1089/tmj.2017.0136
Qan’ir Y, Khalifeh AH, Eid M, Hammad B, Al-Batran M. Mobile health apps use among Jordanian outpatients: A descriptive study. Health Informatics Journal. 2021;27(2):14604582211017940. https://doi.org/10.1177/14604582211017940
Saponov DI. Mobile surveys in sociological research. Monitoring obshchestvennogo mneniya: ekonomicheskie I social’nye peremeny. 2011;104(4):24-37. (In Russ.).
Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare. 2021;9(3):357. https://doi.org/10.3390/healthcare9030357
Klingemann J, Wieczorek L. Mobile application recovery support for patients with an alcohol use disorder. Acceptance, usability, and perceived helpfulness. Journal of Addictive Diseases. 2022;1-9 [published online ahead of print, 2022 Mar 11]. https://doi.org/10.1080/10550887.2022.2049177
Krieger EA, Samodova OV, Rogushina NL, Borisova TA. Parental attitudes to childhood vaccination and Factors associated with refusal to vaccinate. Pediatriya. Zhurnal im. G.N. Speranskogo. 2016;95(2):91-95. (In Russ.).
Mavletova AM. Mobil’nye veb-oprosy: est’ li effekt dlitel’nosti ankety? III mezhdunarodnaya sociologicheskaya konferenciya «Prodolzhaya Grushina». M. 2013. (In Russ.).
Ambrosini GL, Hurworth M, Giglia R, Trapp G, Strauss P. Feasibility of a commercial smartphone application for dietary assessment in epidemiological research and comparison with 24-h dietary recalls. Nutrition Journal. 2018;17(1):5. https://doi.org/10.1186/s12937-018-0315-4
Mavletova A, Couper MP. Sensitive Topics in PC Web and Mobile Web Surveys: Is There a Difference? Survey Research Methods. 2013;7(3):191-205. https://doi.org/10.18148/srm/2013.v7i3.5458
Rasskazova EI, Tkhostov A.Sh. Preparedness for vaccination against coronavirus as a measure of trust in official medical recommendations: the role of anxiety and perceptions. Nacional’nyj psihologicheskij zhurnal. 2021;41(1): 76-90. (In Russ.). https://doi.org/10.11621/npj.2021.0107
COVID-19 Vaccination Statistics [Website]. Our World in Data is a project of the Global Change Data Lab. Accessed April 27, 2022. https://ourworldindata.org/covid-vaccinations
Gosudarstvennyj reestr lekarstvennyh sredstv. [Veb-sajt]. Ministerstvo zdravoohraneniya Rossijskoj Federacii. Accessed April 27, 2022. (In Russ.). https://grls.rosminzdrav.ru/Default.aspx
Nehal KR, Steendam LM, Campos Ponce M, van der Hoeven M, Smit GSA. Worldwide Vaccination Willingness for COVID-19: A Systematic Review and Meta-Analysis. Vaccines. 2021;9(10):1071. https://doi.org/10.3390/vaccines9101071
Tran VD, Pak TV, Gribkova EI, Galkina GA, Loskutova EE, Dorofeeva VV, Dewey RS, Nguyen KT, Pham DT. Determinants of COVID-19 vaccine acceptance in a high infection-rate country: a cross-sectional study in Russia. Pharmacy Practice. 2021;19(1):2276. https://doi.org/10.18549/PharmPract.2021.1.2276
Wang Q, Yang L, Jin H, Lin L. Vaccination against COVID-19: A systematic review and meta-analysis of acceptability and its predictors. Preventive Medicine. 2021;150:106694. https://doi.org/10.1016/j.ypmed.2021.106694

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