Evaluation of generic medical information accessed via mobile phones at the point of care in resource-limited settings.

OBJECTIVE: Many mobile phone resources have been developed to increase access to health education in the developing world, yet few studies have compared these resources or quantified their performance in a resource-limited setting. This study aims to compare the performance of resident physicians in answering clinical scenarios using PubMed abstracts accessed via the PubMed for Handhelds (PubMed4Hh) website versus medical/drug reference applications (Medical Apps) accessed via software on the mobile phone. METHODS: A two-arm comparative study with crossover design was conducted. Subjects, who were resident physicians at the University of Botswana, completed eight scenarios, each with multi-part questions. The primary outcome was a grade for each question. The primary independent variable was the intervention arm and other independent variables included residency and question. RESULTS: Within each question type there were significant differences in 'percentage correct' between Medical Apps and PubMed4Hh for three of the six types of questions: drug-related, diagnosis/definitions, and treatment/management. Within each of these question types, Medical Apps had a higher percentage of fully correct responses than PubMed4Hh (63% vs 13%, 33% vs 12%, and 41% vs 13%, respectively). PubMed4Hh performed better for epidemiologic questions. CONCLUSIONS: While mobile access to primary literature remains important and serves an information niche, mobile applications with condensed content may be more appropriate for point-of-care information needs. Further research is required to examine the specific information needs of clinicians in resource-limited settings and to evaluate the appropriateness of current resources in bridging location- and context-specific information gaps.

Crowdsourcing--harnessing the masses to advance health and medicine, a systematic review.

OBJECTIVE: Crowdsourcing research allows investigators to engage thousands of people to provide either data or data analysis. However, prior work has not documented the use of crowdsourcing in health and medical research. We sought to systematically review the literature to describe the scope of crowdsourcing in health research and to create a taxonomy to characterize past uses of this methodology for health and medical research. DATA SOURCES: PubMed, Embase, and CINAHL through March 2013. STUDY ELIGIBILITY CRITERIA: Primary peer-reviewed literature that used crowdsourcing for health research. STUDY APPRAISAL AND SYNTHESIS METHODS: Two authors independently screened studies and abstracted data, including demographics of the crowd engaged and approaches to crowdsourcing. RESULTS: Twenty-one health-related studies utilizing crowdsourcing met eligibility criteria. Four distinct types of crowdsourcing tasks were identified: problem solving, data processing, surveillance/monitoring, and surveying. These studies collectively engaged a crowd of >136,395 people, yet few studies reported demographics of the crowd. Only one (5 %) reported age, sex, and race statistics, and seven (33 %) reported at least one of these descriptors. Most reports included data on crowdsourcing logistics such as the length of crowdsourcing (n = 18, 86 %) and time to complete crowdsourcing task (n = 15, 71 %). All articles (n = 21, 100 %) reported employing some method for validating or improving the quality of data reported from the crowd. LIMITATIONS: Gray literature not searched and only a sample of online survey articles included. CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: Utilizing crowdsourcing can improve the quality, cost, and speed of a research project while engaging large segments of the public and creating novel science. Standardized guidelines are needed on crowdsourcing metrics that should be collected and reported to provide clarity and comparability in methods.

Use of mobile learning by resident physicians in Botswana.

With the growth of mobile health in recent years, learning through the use of mobile devices (mobile learning [mLearning]) has gained recognition as a potential method for increasing healthcare providers' access to medical information and resources in resource-limited settings. In partnership with the University of Botswana School of Medicine (SOM), we have been exploring the role of smartphone-based mLearning with resident (physicians in specialty training) education. The SOM, which admitted its first class of medical students and residents in 2009, is committed to providing high-level on-site educational resources for resident physicians, even when practicing in remote locations. Seven residents were trained to use an Android-based myTouch 3G smartphone equipped with data-enabled subscriber identity module (SIM) cards and built-in camera. Phones contained locally loaded point-of-care and drug information applications, a telemedicine application that allows for the submission of cases to local mentors, and e-mail/Web access. Surveys were administered at 4 weeks and 8 weeks following distribution of phones. We found that smartphones loaded with point-of-care tools are effectively utilized by resident physicians in resource-limited settings, both for accessing point-of-care medical information at the bedside and engaging in self-directed learning at home.