Litcius/Paper detail

Mothers intention and preference to use mobile phone text message reminders for child vaccination in Northwest Ethiopia

Zeleke Abebaw Mekonnen, Kassahun Alemu Gelaye, Martin C. Were, Binyam Tilahun

2021BMJ Health & Care Informatics39 citationsDOIOpen Access PDF

Abstract

OBJECTIVES: With the unprecedented penetration of mobile devices in the developing world, mHealth applications are being leveraged for different health domains. Among the different factors that affect the use of mHealth interventions is the intention and preference of end-users to use the system. This study aimed to assess mother's intention and preference to use text message reminders for vaccination in Ethiopia. METHODS: A cross-sectional study was conducted among 460 mothers selected through a systematic random sampling technique. Initially, descriptive statistics were computed. Binary logistic regression analysis was also used to assess factors associated with the outcome variable. RESULTS: In this study, of the 456 mothers included for analysis, 360 (78.9%) of mothers have intention to use text message reminders for vaccination. Of these, 270 (75%) wanted to receive the reminders a day before the vaccination due date. Mothers aged 35 years or more (AOR=0.35; 95% CI: 0.15 to 0.83), secondary education and above (AOR=4.43; 95% CI: 2.05 to 9.58), duration of mobile phone use (AOR=3.63; 95% CI: 1.66 to 7.94), perceived usefulness (AOR=6.37; 95% CI: 3.13 to 12.98) and perceived ease of use (AOR=3.85; 95% CI: 2.06 to 7.18) were predictors of intention to use text messages for vaccination. CONCLUSION: In conclusion, majority of mothers have the intention to use text message reminders for child vaccination. Mother's age, education, duration of mobile phone use, perceived usefulness and perceived ease of use were associated with intention of mothers to use text messages for vaccination. Considering these predictors and user's preferences before developing and testing text message reminder systems is recommended.

Topics & Concepts

mHealthDescriptive statisticsPsychological interventionMedicineMobile phoneLogistic regressionAffect (linguistics)Text messagePreferenceVaccinationModerationDemographyFamily medicinePsychologySocial psychologyNursingComputer scienceInternal medicineStatisticsMathematicsEconomicsSociologyImmunologyTelecommunicationsCommunicationComputer networkMicroeconomicsMobile Health and mHealth ApplicationsVaccine Coverage and HesitancyICT in Developing Communities