Background: The health care behavior of Thai pregnant women should enhance. Pregnant women are facing anxiety from a variety of issues. Current evidence suggests that a text message can support health care services and reduce anxiety. This study aimed to examine receiving text messages on health care behavior and state anxiety among Thai pregnant women.
Methods: This study was a single-blind randomized controlled trial. A sample of 66 primigravidas was randomly assigned using a random number table, 33 per group. All participants received a recommendation for healthy behavior during pregnancy. The intervention group added 56 text messages between 13 and 40 gestational weeks, from two government hospitals in Thailand, from March 2018 to May 2019. The data collection tool comprised of demographic characteristics questionnaire, Pregnancy Outcomes Record, The Health Care Behavior during Pregnancy Questionnaire (HCBPQ) (Thai version) which developed by the researcher, and State-Trait Anxiety Inventory (STAI-S). Data were analyzed via SPSS version 18 using descriptive statistics, independent t-test, Fisher’s exact test, and chi-square. The significance level was considered p <0.05.
Results: The results showed that the intervention group adopted appropriate mean health care behaviors significantly only in physical activity domain (15.40±3.19) compared to the control group (13.58±1.89), (P=0.01) and revealed a significantly lower total mean score of state-anxiety than the control group (35.23±8.50 vs. 40.79±9.28, P=0.02). Other health care behavior domains between the two groups were not statistically significant (P>0.05).
Conclusion: Text messages could increase physical activity in Thai pregnant women and reduce the total score of anxiety during pregnancy. Thus, the text message strategy is appropriate to use during the antenatal period.
Trial Registration Number: TCTR20180814005 |
- Coleman J, Eriksen J, Black V, et al. The mobile alliance for maternal action text message-based mHealth intervention for maternal care in South Africa: Qualitative user study. JMIR Human Factors. 2020;7:e14078.
- Colaci D, Chaudhri S, Vasan A. mHealth interventions in low-income countries to address maternal health: A systematic review. Annals of Global Health. 2016;82:922-35.
- Head KJ, Noar SM, Iannarino NT, Grant Harrington N. Efficacy of text messaging based interventions for health promotion: A meta-analysis. Social Science and Medicine. 2013;97:41-8.
- Poorman E, Gazmararian M, Parker RM, et al. Use of text messaging for maternal and infant health: A systematic review of the literature. Maternal and Child Health Journal. 2015;19:969-89.
- Sondaal SFV, Browne JL, Amoakoh-Coleman M, et al. Assessing the effect of mHealth interventions in improving maternal and neonatal care in low- and middle-income countries: A Systematic Review. PLoS One. 2016;11:e0154664.
- Abraha YG, Gebrie SA, Garoma DA, et al. Effect of mHealth in improving antenatal care utilization and skilled birth attendance in low-and middle-income countries: a systematic review protocol. JBI Database of Systematic Reviews and Implementation Reports. 2017;15:1778-82.
- Feroz A, Perveen S, Aftab W. Role of mHealth applications for improving antenatal and postnatal care in low and middle income countries: a systematic review. BMC Health Services Research. 2017;17:704.
- Coomes CM, Lewis MA, Uhrig JD, et al. Beyond reminders: a conceptual framework for using short message service to promote prevention and improve healthcare quality and clinical outcomes for people living with HIV. AIDS Care. 2012;24:348-57.
- Butchon R, Liabsuetrakul T, Bumpenboon T, Teerawattananon Y. Anxiety at first and subsequent pregnancies and its associated factors: A historical cohort study from northeastern Thailand. Journal of Health Science and Medical Research. 2019;37:259-68.
- Grigoriadis S, Graves L, Peer M, et al. Maternal anxiety during pregnancy and the association with adverse perinatal outcome: Systematic review and meta-analysis. Journal of Clinical Psychiatry. 2018;79:17r12011.
- Staneva A, Bogossian F, Pritchard M, Wittkowski A. The effects of maternal depression, anxiety, and perceived stress during pregnancy on preterm birth: a systematic review. Women and Birth. 2015;28:179-93.
- Lagadec N, Steinecker M, Kapassi A, et al. Factors influencing the quality of life of pregnant women: a systematic review. BMC Pregnancy and Childbirth. 2018;18:455.
- Shahhosseini Z, Pourasghar M, Khalilian A, Salehi F. A review of the effects of anxiety during pregnancy on children’s health. Materia Socio-medica. 2015;27:200-2.
- Jareethum R, Titapant V, Chantra T, et al. Satisfaction of healthy pregnant women receiving short message service via mobile phone for prenatal support: A randomized controlled trial. Journal of the Medical Association Thailand. 2008;91:458-63.
- Zhong B. How to calculate sample size in randomized controlled trial? Journal of Thoracic Disease. 2009;1:51-4.
- Spielberger CD, Gorsuch RL, Lushene RE. Manual for the state-trait anxiety inventory. Palo Alto (CA): Consulting Psychologists; 1970.
- Delgado AM, Freire AB, Wanderley ELS, Lemos A. Analysis of the construct validity and internal consistency of the state-trait anxiety inventory (STAI) state-anxiety (S-Anxiety) scale for pregnant women during labor. Revista Brasileira de Ginecologia e Obstetrícia. 2016;38:531-7.
- Wongpakaran N, Wongpakaran T. The Thai version of the PSS-10: An investigation of its psychometric properties. BioPsychoSocial Medicine. 2010;4:6.
- American College of Obstetricians and Gynecologists. ACOG Committee opinion no. 548: weight gain during pregnancy. Obstetrics and Gynecology. 2013;121:210-2.
- Abroms LC, Johnson PR, Heminger CL, et al. Quit4baby: results from a pilot test of a mobile smoking cessation program for pregnant women. JMIR Mhealth and Uhealth. 2015;3:e10.
- Huberty JL, Buman MP, Leiferman JA, et al. Dose and timing of text messages for increasing physical activity among pregnancy women: a randomized controlled trial. Translational Behavioral Medicine. 2017;7:212-23.
- Abroms LC, Johnson PR, Leavitt LE, et al. A randomized trial of text messaging for smoking cessation in pregnant women. American Journal of Preventive Medicine. 2017;53:781-90.
- Zinsser LA, Stoll K, Wieber F, et al. Changing behaviour in pregnant women: A scoping review. Midwifery. 2020;85:102680.
- Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiologic Reviews. 2010;32:56-69.
- Blackwell TM, Dill LJ, Hoepner LA, Geer LA. Using text messaging to impreove access to prenatal health information in urban African American and Afro-Caribbean immigrant pregnant women: Mixed methods analysis of text4Baby usage. JMIR MHealth and UHealth. 2020;8:e14737.
- Poorman E, Gazmararian J, Parker RM, et al. Use of text messaging for maternal and infant health: a systematic review of the literature. Maternal and Child Health Journal. 2015;19:969-89.
- DeTolly K, Skinner D, Nembaware V, Benjamin P. Investigate into the use of short message services to expand uptake of human immunodeficiency virus testing and whether content and dosage have impact. Telemedicine Journal and E-health. 2012;18:18-23.
- Lund S, Nielsen BB, Hemed M. et al. Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial. BMC Pregnancy Childbirth. 2014;14:29.
- Coleman J, Black V, Thorson AE, Eriksen J. Evaluating the effect of maternal mHealth text messages on uptake of maternal and child health care services in SouthAfrica: a multicentre cohort intervention study. Reproductive Health. 2020;17:160.
- Duman, NB, Kocak C. The effect of social support on state anxiety levels during pregnancy. Social Behavior and Personality Journal. 2013;41:1153-64.
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