eISSN: 2449-8580
ISSN: 1734-3402
Family Medicine & Primary Care Review
Current issue Archive Manuscripts accepted About the journal Editorial board Reviewers Subscription Contact Instructions for authors Publication charge Ethical standards and procedures
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
2/2024
vol. 26
 
Share:
Share:
Original paper

Profile of the users of mobile applications monitoring the course of pregnancy and its predictors among pregnant women – a cross-sectional study

Monika Walec
1
,
Barbara Ślusarska
2
,
Grzegorz Nowicki
2

  1. Doctoral School, Faculty of Health Science, Medical University of Lublin, Lublin Poland
  2. Department of Family and Geriatric Nursing, Faculty of Health Science, Medical University of Lublin, Lublin Poland
Family Medicine & Primary Care Review 2024; 26(2): 239–245
Online publish date: 2024/06/17
Get citation
 
PlumX metrics:
 
1. Grimes H, Forster D, Newton M. Sources of information used by women during pregnancy to meet their information needs. Midwifery 2014; 30(1): 26–33, doi: 10.1186/s12884-022-04422-7.
2. Chan K, Chen M. Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis. JMIR mHealth and uHealth 2019; 7(1): e11836, doi: 10.2196/11836.
3. Wang N, Deng Z, Wen L, et al. Understanding the Use of Smartphone Apps for Health Information Among Pregnant Chinese Women: Mixed Methods Study. JMIR mHealth and uHealth 2019; 7(6): e12631, doi: 10.2196/12631.
4. Al-Dahshan A, Chehab M, Mohamed A, et al. Pattern of internet use for pregnancy-related information and its predictors among women visiting primary healthcare in Qatar: a cross-sectional study. BMC Pregnancy Childbirth 2021; 21: 747, doi: 10.1186/s12884-021-04227-0.
5. Mansouri N, Azizi A, Jamshidi E. Factors associated with mental disorders in pregnant women covered by primary health care: a population-based study. Fam Med Prim Care Rev 2022; 24(4): 322–327, doi: https://doi.org/10.5114/fmpcr.2022.120855.
6. Chawla D, Thukral A, Kumar P, et al. Harnessing mobile technology to deliver evidence-based maternal-infant care. Seminars in Fetal & Neonatal Medicine 2021; 26(1): 101206, doi: 10.1016/j.siny.2021.101206.
7. Ledford C, Canzona M, Cafferty L, et al. Mobile application as a prenatal education and engagement tool: a randomized controlled pilot. Patient Educ Couns 2016; 99(4): 578–582, doi: 10.1016/2015.11.006.
8. Sanders R, Crozier K. How do informal information sources influence women’s decision-making for birth? A meta-synthesis of qualitative studies. BMC Pregnancy Childbirth 2018; 18(1): 21, doi: 10.1186/s12884-017-1648-2.
9. Lima-Pereira P, Bermúdez-Tamayo C, Jasienska G. Use of the Internet as a source of health information amongst participants of antenatal classes. J Clin Nurs 2012; 21: 322–330, doi: 10.1111/j.1365-2702.2011.03910.x.
10. Wallwiener S, Müller M, Doster A, et al. Pregnancy eHealth and mHealth: user proportions and characteristics of pregnant women using Web-based information sources-a cross-sectional study. Arch Gyneco Obstet 2016; 94(5): 937–944, doi: 10.1007/s00404-016-4093-y.
11. Buchanan L, Anderson EM, Biostat H, et al. Sources of information and the use of mobile applications for health and parenting information during pregnancy: Implications for health promotion. Health Inform J 2021; 27(3), doi: 10.1177/146045822110431.
12. Sayakhot P, Carolan-Olah M. Internet use by pregnant women seeking pregnancy-related information: a systematic review. BMC Pregnancy Childbirth 2016; 6: 65, doi: 10.1186/s12884-016-0856-5.
13. Lagan B, Sinclair M, Kernohan W. What is the impact of the Internet on decision-making in pregnancy? A global study. Birth (Berkeley, Calif.) 2011; 38(4): 336–345, doi: 10.1111/j.1523-536X.2011.00488.x.
14. Song FW, West JE, Lundy L, et al. Women, pregnancy, and health information online: the making of informed patients and ideal mothers. Gender & Society 2012; 26(5): 773–798.
15. Sommer J, Daus M, Smith M, et al. Mobile application for pregnant women: what do mothers say? Stud Health Technol Inform 2017; 245: 221–224.
16. Elm E, Altman D, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol 2008; 61(4): 344–349, doi: 10.1016/j.jclinepi.2007.11.008.
17. Naukowiec.org. Kalkulator doboru próby [cited: 26.09.2023]. Available from URL: https://www.naukowiec.org/dobor.html (in Polish).
18. Diener E, Lucas R, Oishi S. Subjective well-being: The science of happiness and life satisfaction. In: Snyder CR, Lopez SJ, eds. Handbook of positive psychology. Oxford University Press; 2002: 63–73, doi: 10.1093/9780195187243.013.0017.
19. Juczyński Z. Narzędzia pomiaru w promocji i psychologii zdrowia. Warszawa: Pracownia Testów Psychologicznych Polskiego Towarzystwa Psychologicznego; 2001 (in Polish).
20. Zimet G, Dahlem N, Zimet S, et al. The Multidimensional Scale of Perceived Social Support. J Pers Assess 1998; 52(1): 30–41.
21. Buszman K, Przybyła-Basista H. Polska Adaptacja Wielowymiarowej Skali Wsparcia Społecznego. Polskie Forum Psychologiczne 2017; 22(4): 581–599 (in Polish).
22. Klamut R. Dwuczynnikowy model doświadczania bezpieczeństwa – założenia teoretyczne i empiryczna weryfikacja: Kwestionariusz Doświadczania Bezpieczeństwa. Polskie Forum Psychologiczne 2019; 24(3): 308–323 (in Polish).
23. How many people have smartphones in 2023? OBERLO [cited: 14.09.2023]. Available from URL: https://www.oberlo.com/statistics/how-many-people-have-smartphones.
24. Brown H, Bucher T, Collins C, et al. A review of pregnancy apps freely available in the Google Play Store. Health Promot J Austral 2020; 31: 340–342, doi: 10.1002/hpja.270.
25. Wang Na, Deng Z, Wen L, et al. Understanding the Use of Smartphone Apps for Health Information Among Pregnant Chinese Women: Mixed Methods Study. JMIR mHealth & uHealth 2019; 7(6): e12631, doi: 10.2196/12631.
26. Bakhireva L, Young B, Dalen J, et al. Patient utilization of information sources about safety of medications during pregnancy. J Reprod Med 2011; 56(7–8): 339–343.
27. Kavlak O, Atan S, Güleç D, et al. Pregnant women’s use of the internet in relation to their pregnancy in Izmir, Turkey. Inform Health Soc Care 2012; 37(4): 253–263, doi: 10.3109/17538157.2012.710686.
28. Kraschnewski J, Chuang C, Poole E, et al. Paging, “Dr. Google”: does technology fill the gap created by the prenatal care visit structure? Qualitative focus group study with pregnant women. J Med Internet Res 2014; 16(6): 147, doi: 10.2196/jmir.3385.
29. Johnson S.: ‘Intimate mothering publics’: comparing face-to-face support groups and Internet use for women seeking information and advice in the transition to first-time motherhood. Cult Health Sex 2015; 17(2): 237–251, doi: 10.1080/13691058.2014.968807.
30. Fiks A, Gruver S, Bishop-Gilyard T, et al. A social media peer group for mothers to prevent obesity from infancy: the grow2gether randomized trial. Child Obes 2017; 13(5): 356–368, doi: 10.1089/chi.2017.0042.
31. Hoffman M, Mazzoni S, Wagner B, et al. Measures of maternal stress and mood in relation to preterm birth. Obstet Gynecol 2016; 127: 545–552, doi: 10.1097/AOG.0000000000001287.
32. Hughson J, Daly JO, Woodward-Kron R, et al. The rise of pregnancy apps and the implications for culturally and linguistically diverse women: Narrative review. JMIR mHealth & uHealth 2018; 6: e189. doi: 10.2196/mhealth.9119.
33. O’Sullivan EJ, Rokicki S, Kennelly M, et al. Cost-effectiveness of a mobile health-supported lifestyle intervention for pregnant women with an elevated body mass index. Int J Obes 2020; 44: 999–1010, doi: 10.1038/s41366-020-0531-9.
34. Tassone C, Keshavjee K, Paglialonga A, et al. Evaluation of mobile apps for treatment of patients at risk of developing gestational diabetes. Health Inform J 2020; 26: 1983–1994, doi: 10.1177/1460458219896639.
35. Yang P, Lo W, He Z, et al. Medical nutrition treatment of women with gestational diabetes mellitus by a telemedicine system based on smartphones. J ObstetGynaecol Res 2018; 44(7): 1228–1234, doi: 10.1111/jog.13669.
36. Miremberg H, Ben-Ari T, Betzer T, et al. The impact of a daily smartphone-based feedback system among women with gestational diabetes on compliance, glycemic control, satisfaction, and pregnancy outcome: a randomized controlled trial. J Obstet Gynaecol Res 2018; 218(4): 453, doi: 10.1016/j.ajog.2018.01.044.
37. Buraczewska E, Sokołowska B, Mazurkiewicz E, et al. An analysis of the level of knowledge about diabetes among pregnant women. Fam Med Prim Care Rev 2016; 18(3): 225–229, doi: 10.5114/63741.
38. Grądzik A, Gorajek A, Osiejewska A, et al. The popularity and usability of mobile applications for women and expecting mothers. J Phys Educ Sport 2022; 12(8): 378–382, doi: 10.12775/JEHS.2022.12.08.039.
39. Lupton D, Pedersen S. An Australian survey of women’s use of pregnancy and parenting apps. Women & Birth 2016; 29(4): 368–375, doi: 10.1016/j.wombi.2016.01.008.
40. Al-Dahshan A, Chehab M, Mohamd A, et al. Pattern of internet use for pregnancy-related information and its predictors among women visiting primary healthcare in Qatar: a cross-sectional study. BMC Pregnancy Childbirth 2021; 21: 747, doi: 10.1186/s12884-021-04227-0.
41. Sakamoto J, Carandang R, Kharel M, et al. Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review. BMJ Open 2022; 12: e056807, doi: 10.1136/bmjopen-2021-056807.
42. Bakhireva L, Young B, Dalen J, et al. Patient utilization of information sources about safety of medications during pregnancy. J Reprod Med 2011; 56: 339–343.
43. Rowe R, Garcia J, Macfarlane A, et al. Improving communication between health professionals and women in maternity care: a structured review. Health Expect 2002; 5(1): 63–83, doi: 10.1046/j.1369-6513.2002.00159.x.
44. Lagan B, Sinclair M, Kernohan W. What Is the Impact of the Internet on Decision-Making in Pregnancy? A Global Study. Birth 2011; 38: 336–345, doi: 10.1111/j.1523-536X.2011.00488.x.
Copyright: © 2024 Family Medicine & Primary Care Review. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
 
Quick links
© 2024 Termedia Sp. z o.o.
Developed by Bentus.