MobileActive.org

For the first time the World Health Organization’s (WHO) Global Observatory for eHealth (GOe) has sought to determine the status of mHealth in Member States; its 2009 global survey contained a section specifically devoted to mHealth. Completed by 114 Member States, the survey documented for analysis four aspects of mHealth: adoption of initiatives, types of initiatives, status of evaluation, and barriers to implementation. Fourteen categories of mHealth services were surveyed: health call centres, emergency toll-free telephone services, managing emergencies and disasters, mobile telemedicine, appointment reminders, community mobilization and health promotion, treatment compliance, mobile patient records, information access, patient monitoring, health surveys and data collection, surveillance, health awareness raising, and decision support systems.

The survey shows there is a groundswell of activity.  The majority of Member States (83%) reported offering at least one type of mHealth service. However, many countries offered four to six programmes. The four most frequently reported mHealth initiatives were: health call centres (59%), emergency toll-free telephone services (55%), managing emergencies and disasters (54%), and mobile telemedicine (49%). With the exception of health call centres, emergency toll-free telephone services, and managing emergencies and disasters, approximately two thirds of mHealth programmes are in the pilot or informal stage.

The survey results highlight that the dominant form of mHealth today is characterized by small-scale pilot projects that address single issues in information sharing and access. There were only limited larger mHealth implementations (primarily supported by public-private partnerships). While it is anticipated that large-scale and complex programmes will become more common as mHealth matures, strategies and policies that integrate eHealth and mHealth interoperability into health services would be wise. mHealth is no different from other areas of eHealth in its need to adopt globally accepted standards and interoperable technologies, ideally using open architecture. The use of standardized information and communication technologies would enhance efficiency and reduce cost. To accomplish this, countries will need to collaborate in developing global best practices so that data can move more effectively between systems and applications. 

This case study analyses the ways in which the Cell-Life initiative, a collaboration between UCT‘s (University of Cape Town) departments of Civil and Electrical Engineering and the Cape Peninsula University of Technology (CPUT), utilises technology-based solutions (in particular, cellphone technology) for the life management of patients living with HIV/AIDS.
 

Cell-Life is a model example of a socially responsive endeavor which utilizes technology to overcome limitations and constraints. The use of cellphones to save lives by aiding adherence to the ARV medication regime and gather data is a remarkable contribution to the fight against the HIV/AIDS pandemic and signifies an intersection between the academic endeavour, innovation and the lives of ordinary people on the ground. The open approach taken by the organisation in sharing its work also illustrates how research is able to contribute to the 'undead count' (i.e. the number of lives saved) of academic research, which must surely be considered the greatest achievement of any endeavor.

Growth in mobile phone penetration has created new opportunities to reach and improve care to underserved, at-risk populations including those with tuberculosis (TB) or HIV/AIDS.

This paper summarizes a proof-of-concept pilot designed to provide remote Mobile Direct Observation of Treatment (MDOT) for TB patients. The MDOT model combines Clinic with Community DOT through the use of mobile phone video capture and transmission, alleviating the travel burden for patients and health professionals.

Three healthcare professionals along with 13 patients and their treatment supporters were recruited from the Mbagathi District Hospital in Nairobi, Kenya. Treatment supporters were asked to take daily videos of the patient swallowing their medications. Patients submitted the videos for review by the health professionals and were asked to view motivational and educational TB text (SMS) and video health messages. Surveys were conducted at intake, 15 days, and 30 days. Data were collected in 2008 and analyzed in 2009

All three health professionals and 11 patients completed the trial. All agreed that MDOT was a viable option, and eight patients preferred MDOT to clinic DOT or DOT through visiting Community Health Workers.

MDOT is technically feasible. Both patients and health professionals appear empowered by the ability to communicate with each other and appear receptive to remote MDOT and health messaging over mobile. Further research should be conducted to evaluate whether MDOT (1) improves medication adherence, (2) is cost effective, and (3) can be used to improve treatment compliance for other diseases such as AIDS.

Background: The objectives are to compare the effectiveness of cell phone-supported SMS messaging to standard care on adherence, quality of life, retention, and mortality in a population receiving antiretroviral therapy (ART) in Nairobi, Kenya.

Methods and Design: A multi-site randomized controlled open-label trial. A central randomization centre provided opaque envelopes to allocate treatments. Patients initiating ART at three comprehensive care clinics in Kenya will be randomized to receive either a structured weekly SMS (’short message system’ or text message) slogan (the intervention) or current standard of care support mechanisms alone (the control). Our hypothesis is that using a structured mobile phone protocol to keep in touch with patients will improve adherence to ART and other patient outcomes. Participants are evaluated at baseline, and then at six and twelve months after initiating ART. The care providers keep a weekly study log of all phone based communications with study participants. Primary outcomes are self-reported adherence to ART and suppression of HIV viral load at twelve months scheduled follow-up. Secondary outcomes are improvements in health, quality of life, social and economic factors, and retention on ART. Primary analysis is by ‘intention-to-treat’. Sensitivity analysis will be used to assess per-protocol effects. Analysis of covariates will be undertaken to determine factors that contribute or deter from expected and determined outcomes.

Discussion: This study protocol tests whether a novel structured mobile phone intervention can positively contribute to ART management in a resource-limited setting.