literature review

The Effectiveness of M-Health Technologies for Improving Health and Health Services: A Systematic Review Protocol

Posted by VivianOnano on Sep 30, 2011
The Effectiveness of M-Health Technologies for Improving Health and Health Services: A Systematic Review Protocol data sheet 1671 Views
Free,Caroline; Gemma Phillips; Lambert Felix; Leandro Galli; Vikram Patel; Philip Edwards.
Publication Date: 
Oct 2010
Publication Type: 
Report/White paper

The application of mobile computing and communication technology is rapidly expanding in the fields of health care and public health. This systematic review will summarise the evidence for the effectiveness of mobile technology interventions for improving health and health service outcomes (M-Health) around the world.


To be included in the review interventions must aim to improve or promote health or health service use and quality, employing any mobile computing and communication technology. This includes:

(1) interventions designed to improve diagnosis, investigation, treatment, monitoring and management of disease;

(2) interventions to deliver treatment or disease management programmes to patients, health promotion interventions, andinterventions designed to improve treatment compliance; and

(3) interventions to improve health care processes e.g. appointment attendance, result notification, vaccination reminders.


A comprehensive, electronic search strategy will be used to identify controlled studies, published since 1990, and indexed in MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, the Cochrane Library, or the UK NHSHealth Technology Assessment database. The search strategy will include terms (and synonyms) for the following mobile electronic devices (MEDs) and a range of compatible media: mobile phone; personal digital assistant (PDA); handheld computer (e.g. tablet PC); PDA phone (e.g. BlackBerry, Palm Pilot); Smartphone; enterprise digital assistant; portable media player (i.e. MP3 or MP4 player); handheld video game console. No terms for health or health service outcomes will be included, to ensure that all applications of mobile technology in public health and healthservices are identified.


Bibliographies of primary studies and review articles meeting the inclusion criteria will besearched manually to identify further eligible studies. Data on objective and self-reported outcomes and study quality will be independently extracted by two review authors. Where there are sufficient numbers of similar interventions, we will calculate and report pooled risk ratios or standardised mean differences using meta-analysis.


This systematic review will provide recommendations on the use of mobile computing and communication technology in health care and public health and will guide future work on intervention development and primary research in this field.

The Ultimate Go-To Resource on Mobile Data Collection (and growing…)

Posted by MohiniBhavsar on Sep 13, 2010

Want to use mobiles for data collection? Don't know where to start your research or where to read evaluations of existing and past mobile data collection efforts? You're in luck! We've produced the resource guide you've been waiting for.

Recently, collaborated with UN Global Pulse to crowdsource an inventory of mobile data collection projects around the world. While this growing inventory shows there is enormous interest to leverage mobile technology for data collection, technical reports and evaluations of deployments and pilots are scattered.

So, we took the lead and compiled the existing literature (as best as we could) in an easy-to-use spreadsheet here.

"'s Go-To Resource for Mobile Data Collection" is a roundup of resources, organized in five tabs:

Research Approaches to Mobile Use in the Developing World: A Review of the Literature

Posted by LeighJaschke on Jul 20, 2009
Research Approaches to Mobile Use in the Developing World: A Review of the Literature data sheet 4665 Views
Donner, Jonathan
Publication Date: 
Dec 2007
Publication Type: 
Report/White paper

The paper reviews roughly 200 recent studies of mobile (cellular) phone use in the developing world, and identifies major concentrations of research. It categorizes studies along two dimensions. One dimension distinguishes studies of the determinants of mobile adoption from those that assess the impacts of mobile use, and from those focused on the interrelationships between mobile technologies and users. A secondary dimension identifies a sub-set of studies with a strong economic development perspective. The discussion considers the implications of the resulting review and typology for future research.