Search

Background: Traditional gender roles result in women lagging behind men in the use of modern technologies, especially in developing countries. Although there is rapid uptake of mobile phone use in Bangladesh, investigation of gender differences in the ownership, access and use of mobile phones in general and mHealth in particular has been limited. This paper presents gender differentials in the ownership of mobile phones and knowledge of available mHealth services in a rural area of Bangladesh.Methods: We interviewed 4915 randomly selected respondents aged 18 years and above. Associations between gender and knowledge of available mHealth services, use of existing mHealth services and intentions to use mHealth services in the future were examined by multivariate logistic regression analysis, controlling for the effect of categorised covariates.Results: Of the 4915 respondents to the survey, 61.8% of men (1213/1964) and 34.4% of women (1015/2951) owned a mobile phone. For men, mobile phone ownership was highest among those aged 18-29 years (n = 663, 76.3%), and for women among those aged 30-39 years (n = 825, 44.7%). A higher proportion of men owned phones compared to women, irrespective of socioeconomic status (SES) as indicated by asset index (p < 0.001). Although mobile phone ownership on average was lower among women, they were more likely to share their mobile phone with their family members (19.7%) compared to men (11.6%, p < 0.001). Greater number of men were more likely to be aware of the use of mobile phones for healthcare compared to women (38.5% vs 26.5%, p < 0.001). Knowledge about available mHealth services was lower among women than men; however, intention to use mHealth services in the future was high for both genders, irrespective of age, education and socioeconomic status.Conclusions: Compared to men, women are less likely to own a mobile phone and less aware of available mHealth services, despite high intention to use mHealth among both genders. To optimise the use of mHealth services and to achieve equity of use, uptake strategies should target women, with a focus on the poorer and less educated groups. [ABSTRACT FROM AUTHOR]

Introduction: There are increasing numbers of mHealth initiatives in middle and low income countries aimed at improving health outcomes. Bangladesh is no exception with more than 20 mobile health (mHealth) initiatives in place. A recent study in Bangladesh examined community readiness for mHealth using a framework based on quantitative data. Given the importance of a framework and the complementary role of qualitative exploration, this paper presents data from a qualitative study which complements findings from the quantitative study.Methods: The study was conducted in the Chakaria sub-district of Bangladesh. In total, 37 in-depth interviews were conducted between December 2012 and March 2013. Participants included the general public, students, community leaders, school teachers, and formal and informal healthcare providers. Thematic analysis was used to develop a logical and relevant framework to examine community readiness. As in the quantitative exploration, this study approached the investigation with four types of readiness in mind: core readiness, technological readiness, human resource readiness and motivational readiness.Results: Community members, community leaders and healthcare providers expressed their interest in the use of mHealth in rural Bangladesh. Awareness of mHealth and its advantages was low among uneducated people. Participants who have used mHealth were attracted to the speed of access to qualified healthcare providers, time savings and low cost. Some participants did not see the value of using mobile phones for healthcare compared to a face-to-face consultation. Illiteracy, lack of English language proficiency, lack of trust and technological incapability were identified as barriers to mHealth use. However, a sense of ownership, evidence of utility, a positive attitude to the use of mHealth, and intentions towards future use of mHealth were driving forces in the adoption of mHealth services.Conclusions: This study re-affirmed the mHealth readiness conceptual framework with different dimensions of readiness and identified potential barriers and possible solutions for mHealth. Moving forward, emphasis should be placed on training users, providing low-cost services and improving trust of users. [ABSTRACT FROM AUTHOR]

Introduction Evidence in favor of mHealth for healthcare delivery in settings where trained health workforce is limited or unavailable is accumulating. With rapid growth in access to mobile phones and an acute shortage of health workforce in Bangladesh, mHealth initiatives are increasing with more than 20 current initiatives in place. “Readiness” is a crucial prerequisite to the successful implementation of telehealth programs. However, systematic assessment of the community readiness for mHealth-based services in the country is lacking. We report on a recent study describing the influence of community readiness for mHealth of a rural Bangladesh community. Methods A conceptual framework for mHealth readiness was developed, which included three categories: technological, motivational and resource readiness. This guided the questionnaire development for the survey conducted in the Chakaria sub-district of Bangladesh from November 2012 to April 2013. Multivariate logistic regression was used to examine ownership of mobile phones, use of the technology, and knowledge regarding awareness of mHealth services as predictors of the community readiness to adopt mHealth. Results A total of 4915 randomly selected household members aged 18 years and over completed the survey. The data explained the sub-categories of the readiness dimensions. In terms of access, 45% of respondents owned a mobile phone with ownership higher among males, younger participants and those in the highest socioeconomic quintiles. Results related to technological readiness showed that among mobile phone owners, 50% were aware of SMS but only sending and receiving SMS. Only 37% generally read the received SMS. Only 5% of respondents used the internet capabilities on their phone and 25% used voice messages. The majority (73%) of the participants were interested in joining mHealth programs in the future. Multivariate analysis showed that ownership of a mobile phone (aOR 1.3, 95% CI 1.1–1.5), younger age (aOR 2.6, 95% CI 2.1–3.3), males (aOR 1.8, 95% CI 1.6–2.1), educated respondents (11 years or more education) (aOR 11.1, 95% CI 6.2–19.2) and those belonging to the highest socio-economic group (aOR 3.7, 95% CI 2.9–4.7) were significantly independently associated with knowledge regarding awareness of current mHealth services. Conclusions We developed a conceptual framework to assess community readiness for mHealth. We described three high level dimensions of readiness and have partially tested the conceptual framework in a rural sub-district in Bangladesh. We found that the community has some technological readiness but inequity was observed for human resource readiness and technological capabilities. The study population is motivated to use mHealth. Our conceptual framework is a promising tool to assist policy-makers in planning and implementing mHealth programs. [ABSTRACT FROM AUTHOR]