Usability and Feasibility of PIERS on the Move: An mHealth App for Pre-Eclampsia Triage

A Risk Prediction Model for the Assessment and Triage of Women with Hypertensive Disorders of Pregnancy in Low-Resourced Settings: The miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) Multi-country Prospective Cohort Study

(2014) Beth A. Payne et al.   PLOS MEDICINE

Development of mHealth Applications for Pre-Eclampsia Triage

(2014) Dustin T. Dunsmuir et al.   IEEE Journal of Biomedical and Health Informatics

Community Health Workers and Mobile Technology: A Systematic Review of the Literature

(2013) Rebecca Braun et al.   PLoS One

Abstracts of Papers Presented at the 2012 Annual Meeting of the Society for Technology in Anesthesia (STA), January 18-21, 2012

(2012) &NA;   ANESTHESIA AND ANALGESIA

Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010

(2012) Rafael Lozano et al.   LANCET

A Comparison of Usability Factors of Four Mobile Devices for Accessing Healthcare Information by Adolescents

(2012) B. Sheehan et al.   Applied Clinical Informatics

Pre-eclampsia in low and middle income countries

(2011) Tabassum Firoz et al.   BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY

Pre-eclampsia

(2010) Eric AP Steegers et al.   LANCET

Prediction of adverse maternal outcomes in pre-eclampsia: development and validation of the fullPIERS model

(2010) Peter von Dadelszen et al.   LANCET

Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support

(2008) Paul A. Harris et al.   JOURNAL OF BIOMEDICAL INFORMATICS