Evaluating the reliability, validity, acceptability, and practicality of SMS text messaging as a tool to collect research data: results from the Feeding Your Baby project

Whitford, Heather; Donnan, Peter T.; Symon, Andrew; Kellett, Gillian; Monteith-Hodge, Ewa; Rauchhaus, Petra; Wyatt, Jeremy

doi:10.1136/amiajnl-2011-000785

Cited by 55 publications

(59 citation statements)

References 22 publications

(10 reference statements)

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“…The study used SMS text messaging, a novel method of data collection, to follow-up women after delivery. The validity and reliability of the method of SMS text messaging has already been reported elsewhere24 as well as some of the qualitative results 25…”

Section: Introductionmentioning

confidence: 70%

Prediction of initiation and cessation of breastfeeding from late pregnancy to 16 weeks: the Feeding Your Baby (FYB) cohort study

et al. 2013

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ObjectiveTo derive prediction models for both initiation and cessation of breastfeeding using demographic, psychological and obstetric variables.DesignA prospective cohort study.SettingWomen delivering at Ninewells Hospital, Dundee, UK.Data sourcesDemographic data and psychological measures were obtained during pregnancy by questionnaire. Birth details, feeding method at birth and at hospital discharge were obtained from the Ninewells hospital database, Dundee, UK. Breastfeeding women were followed up by text messages every 2 weeks until 16 weeks or until breastfeeding was discontinued to ascertain feeding method and feeding intentions.ParticipantsPregnant women over 30 weeks gestation aged 16 years and above, living in Dundee, booked to deliver at Ninewells Hospital, Dundee, and able to speak English.Main outcome measureInitiation and cessation of breastfeeding.ResultsFrom the total cohort of women at delivery (n=344) 68% (95% CI 63% to 73%) of women had started breastfeeding at discharge. Significant predictors of initiating breastfeeding were older age, parity, greater intention to breastfeed from a Theory of Planned Behaviour (TPB)-based questionnaire, higher Iowa Infant Feeding Assessment Scale (IIFAS) score as well as living with a husband or partner. For the final model, the AUROC was 0.967. For those who initiated breastfeeding (n=233), the strongest predictors of stopping were low intention to breastfeed from TPB, low IIFAS score and non-managerial/professional occupations.ConclusionsThe findings from this study will be used to inform the protocol for an intervention study to encourage and support prolonged breastfeeding as intentions appear to be a key intervention focus for initiation. The predictive models could be used to identify women at high risk of not initiating and also women at high risk of stopping for interventions to improve the longevity of breastfeeding.

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Section: Introductionmentioning

confidence: 70%

Prediction of initiation and cessation of breastfeeding from late pregnancy to 16 weeks: the Feeding Your Baby (FYB) cohort study

et al. 2013

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“…Time consuming)?” Participants responded with the corresponding number. Other questions were based on a ‘yes’ or ‘no’ response, such as “Did you find receiving text messages about feeding your baby helpful?” 29 These questions were sent in between the main messages after the second week.…”

Section: Methodsmentioning

confidence: 99%

Multi-site trial using short mobile messages (SMS) to improve infant weight in low-income minorities: Development, implementation, lessons learned and future applications

Banna

Campos

Gibby³

et al. 2017

Contemporary Clinical Trials

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“…In addition, one [45] investigated the feasibility and acceptability of using two-way SMS texts communication to collect situational assessment data; one [64] provided a quantitative evaluation of data entry accuracy using SMS when compared with Internet and voice; one [65] investigated the effectiveness and efficiency gains in using mobile apps for detecting disease outbreaks in near-real-time; and one [49] tested the reliability, validity, acceptability, and practicability of SMS messaging for collecting patients’ infant feeding method and future feeding plans.…”

Section: Resultsmentioning

confidence: 99%

Mobile Technologies and Geographic Information Systems to Improve Health Care Systems: A Literature Review

Nhavoto¹,

Grönlund²

2014

JMIR mHealth uHealth

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BackgroundA growing body of research has employed mobile technologies and geographic information systems (GIS) for enhancing health care and health information systems, but there is yet a lack of studies of how these two types of systems are integrated together into the information infrastructure of an organization so as to provide a basis for data analysis and decision support. Integration of data and technical systems across the organization is necessary for efficient large-scale implementation.ObjectiveThe aim of this paper is to identify how mobile technologies and GIS applications have been used, independently as well as in combination, for improving health care.MethodsThe electronic databases PubMed, BioMed Central, Wiley Online Library, Scopus, Science Direct, and Web of Science were searched to retrieve English language articles published in international academic journals after 2005. Only articles addressing the use of mobile or GIS technologies and that met a prespecified keyword strategy were selected for review.ResultsA total of 271 articles were selected, among which 220 concerned mobile technologies and 51 GIS. Most articles concern developed countries (198/271, 73.1%), and in particular the United States (81/271, 29.9%), United Kingdom (31/271, 11.4%), and Canada (14/271, 5.2%). Applications of mobile technologies can be categorized by six themes: treatment and disease management, data collection and disease surveillance, health support systems, health promotion and disease prevention, communication between patients and health care providers or among providers, and medical education. GIS applications can be categorized by four themes: disease surveillance, health support systems, health promotion and disease prevention, and communication to or between health care providers. Mobile applications typically focus on using text messaging (short message service, SMS) for communication between patients and health care providers, most prominently reminders and advice to patients. These applications generally have modest benefits and may be appropriate for implementation. Integration of health data using GIS technology also exhibit modest benefits such as improved understanding of the interplay of psychological, social, environmental, area-level, and sociodemographic influences on physical activity. The studies evaluated showed promising results in helping patients treating different illnesses and managing their condition effectively. However, most studies use small sample sizes and short intervention periods, which means limited clinical or statistical significance.ConclusionsA vast majority of the papers report positive results, including retention rate, benefits for patients, and economic gains for the health care provider. However, implementation issues are little discussed, which means the reasons for the scarcity of large-scale implementations, which might be expected given the overwhelmingly positive results, are yet unclear. There is also little combination between GIS and mobile technologies. In or...

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Evaluating the reliability, validity, acceptability, and practicality of SMS text messaging as a tool to collect research data: results from the Feeding Your Baby project

Abstract: In this sample and for these questions, SMS was a reliable and valid method for capturing research data.

Cited by 55 publications

References 22 publications

Prediction of initiation and cessation of breastfeeding from late pregnancy to 16 weeks: the Feeding Your Baby (FYB) cohort study

Prediction of initiation and cessation of breastfeeding from late pregnancy to 16 weeks: the Feeding Your Baby (FYB) cohort study

Multi-site trial using short mobile messages (SMS) to improve infant weight in low-income minorities: Development, implementation, lessons learned and future applications

Mobile Technologies and Geographic Information Systems to Improve Health Care Systems: A Literature Review

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