Browsing by Author "Wright, David W"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    ItemOpen Access
    A cross-sectional exploratory study of knowledge, attitudes, and practices of emergency health care providers in the assessment of child maltreatment in Maputo, Mozambique.
    (BMC emergency medicine, 2018-05-09) Pinto, Liliana; Lein, Adriana; Mahoque, Raquel; Wright, David W; Sasser, Scott M; Staton, Catherine A
    BACKGROUND:In Mozambique, and other low-income countries (LICs), there is little information on the burden of child maltreatment (CM). Emergency care services (ECS) play an important role in recognizing, treating, and intervening in situations of CM. We aim to identify knowledge, attitudes, and practices regarding CM among health care providers in ECS at Mavalane General Hospital in Maputo, Mozambique. METHODS:This exploratory cross-sectional study evaluates the knowledge, attitudes, and practices of health care providers to diagnose and treat cases of CM. A 25 min, pilot-tested verbal interview questionnaire was administered to 49 physicians and nurses working in ECS at Mavalane General Hospital. Interviews were completed between October-November 2010. Data were managed and analyzed in SPSS 14.0 and descriptive statistics were generated. RESULTS:Of 49 health care providers, 83.6% reporting receiving no, or very little CM education or training. Only 61.2% had knowledge of physical abuse as a main form of child maltreatment and 38.8% were able to identify corresponding symptoms of physical abuse. Sexual abuse as a main form of CM was mentioned by 26.5 and 2% cited its symptoms. While 87.7% of health care providers strongly agreed or agreed that they hold an important role in preventing CM, 51.1% also strongly disagreed or disagreed that they feel confident diagnosing and treating CM cases. In regards to follow-up, 14.3% strongly disagreed or disagreed that they know where to refer victims for further follow-up and an additional 14.3% did not know whether they agreed or disagreed. CONCLUSION:This study revealed knowledge gaps in emergency health care provider knowledge of the main forms of CM and their symptoms. The fact that a majority of health care providers in our sample did not receive information specific to CM in their medical education and training could explain this gap, as well as their unawareness of where to refer victims. Given that health care providers believe they play an important role in identifying and treating CM, future research should focus on raising physician awareness of CM and developing education and training materials grounded in cultural contexts to build response capacity in Mozambique and other LICs.
  • No Thumbnail Available
    ItemOpen Access
    Priorities to Overcome Barriers Impacting Data Science Application in Emergency Care Research.
    (Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2019-01) Puskarich, Michael A; Callaway, Clif; Silbergleit, Robert; Pines, Jesse M; Obermeyer, Ziad; Wright, David W; Hsia, Renee Y; Shah, Manish N; Monte, Andrew A; Limkakeng, Alexander T; Meisel, Zachary F; Levy, Phillip D
    For a variety of reasons including cheap computing, widespread adoption of electronic medical records, digitalization of imaging and biosignals, and rapid development of novel technologies, the amount of health care data being collected, recorded, and stored is increasing at an exponential rate. Yet despite these advances, methods for the valid, efficient, and ethical utilization of these data remain underdeveloped. Emergency care research, in particular, poses several unique challenges in this rapidly evolving field. A group of content experts was recently convened to identify research priorities related to barriers to the application of data science to emergency care research. These recommendations included: 1) developing methods for cross-platform identification and linkage of patients; 2) creating central, deidentified, open-access databases; 3) improving methodologies for visualization and analysis of intensively sampled data; 4) developing methods to identify and standardize electronic medical record data quality; 5) improving and utilizing natural language processing; 6) developing and utilizing syndrome or complaint-based based taxonomies of disease; 7) developing practical and ethical framework to leverage electronic systems for controlled trials; 8) exploring technologies to help enable clinical trials in the emergency setting; and 9) training emergency care clinicians in data science and data scientists in emergency care medicine. The background, rationale, and conclusions of these recommendations are included in the present article.