Medical legal partnership and health informatics impacting child health: Interprofessional innovations

References

• American Bar Association. (2007). American Bar Association, Health Law Section, Report to the House of Delegates #120A. Retrieved from http://www.americanbar.org/directories/policy.html
   Google Scholar
• American Medical Association. (2010). AMA adopts new policies during final day of annual meeting. Retrieved from http://www.ama-assn.org/ama/pub/news/news/2010-new-policies.page
   Google Scholar
• Asch, D. A., & Volpp, K. G. (2012). What business are we in? The emergence of health as the business of health care. New England Journal of Medicine, 367, 888–889
   PubMed Web of Science ®Google Scholar
• Beeson, T., McAllister, B. D., Regenstein, M. (2013). Making the case for medical-legal partnerships: A review of the evidence. National Center for Medical Legal Partnership, George Washington University. Retrieved from http://legalaidresearch.files.wordpress.com/2013/04/medical-legal-partnership-literature-review-february-2013.pdf
   Google Scholar
• Belamarich, P. F., Gandica, R., Stein, R. E., & Racine, A. D. (2006). Drowning in a sea of advice: Pediatricians and American Academy of Pediatrics Policy Statements. Pediatrics, 118, e964–e978
   PubMed Web of Science ®Google Scholar
• Biondich, P. G., Downs, S. M., Anand, V., Carroll, A. E. (2005). Automating the recognition and prioritization of needed preventive services: Early results from the CHICA system. Proceedings of the American Medical Informatics Association Annual Symposium, 2005, Hilton Washington & Towers, Washington, DC, 51–55
   Google Scholar
• Braveman, P. A., Egerter, S. A. & Mockenhaupt, R. E. (2011). Broadening the focus: The need to address the social determinants of health. American Journal of Preventive Medicine, 40, S4–S18
   PubMed Web of Science ®Google Scholar
• Carroll, A. E., Biondich, P. G., Anand, V., Dugan, T. M., Sheley, M. E., & Xu, S. Z. (2011). Targeted screening for pediatric conditions with the CHICA system. Journal of American Medical Informatics Association, 18, 485–490
   PubMed Web of Science ®Google Scholar
• Carroll, A. E., Anand, V., Dugan, D. M., Sheley, M. E., Xu, S. Z., Downs, S. M. (2012). Increased physician diagnosis of asthma with the Child Health Improvement through Computer Automation decision support system. Pediatric Allergy, Immunology, and Pulmonology, September, 168–171
   Google Scholar
• Carroll, A. E., Bauer, N. S., Dugan, T. M., Anand, V., Saha, C., & Downs, S. M. (2013). Use of a computerized decision aid for ADHD diagnosis: a randomized controlled trial. Pediatrics, 132, e623–629. Doi:10.1542/peds.2013-0933
   Google Scholar
• Downs, S. M. & Uner, H. (2002). Expected value prioritization of prompts and reminders. Proceedings of the American Medical Informatics Association Annual Symposium 2002, Henry B. Gonzalez Convention Center, San Antonio, TX, 215–219
   Google Scholar
• Downs, S. M., Biondich, P. G., Anand, V., Zore, M., & Carroll, A. E. (2006). Using Arden Syntax and adaptive turnaround documents to evaluate clinical guidelines. Proceedings of the American Medical Informatics Association Annual Symposium 2006, Hilton Washington & Towers, Washington, DC, 214–218
   Google Scholar
• Hunt, D. L., Haynes, R. B., & Hanna, S. E. (1998). Effects of computer-based clinical decision support systems on physician performance and patient outcomes: A systematic review. Journal of American Medical Association, 280, 1339–1346
   PubMed Web of Science ®Google Scholar
• Johnston, M. E., Langton, K. B., Haynes, R. B., & Mathieu, A. (1994). Effects of computer-based clinical decision support systems on clinician performance and patient outcomes: A critical appraisal of research. Annals of Internal Medicine, 120, 266–269
   Google Scholar
• Lawton, E. M. (2007). Medical-legal partnerships: From surgery to prevention? Management Information Exchange Journal, Spring Issue, 37–42
   Google Scholar
• Legal Services Corporation. (2009). Documenting the justice gap in America: The current unmet civil legal needs of low-income Americans. Washington, DC: The Corporation. Retrieved from http://www.lsc.gov/justicegap.pdf
   Google Scholar
• Mangione-Smith, R., DeCristofaro, A. H., Setodji, C. M., Keesey, J., Klein, D. J., & Adams, J. L. (2007). The quality of ambulatory care delivered to children in the United States. New England Journal of Medicine, 357, 1515–1523
   PubMed Web of Science ®Google Scholar
• National Center for Medical Legal Partnership. (2014a). The model: 50 million people need legal care to be healthy. Retrieved from http://www.medical-legalpartnership.org/model
   Google Scholar
• National Center for Medical Legal Partnership. (2014b). The movement. Retrieved from http://www.medical-legalpartnership.org/movement
   Google Scholar
• Robert Wood Johnson Foundation Commission to Build a Healthier America. (2014). Time to act: Investing in the health of our children and communities. Retrieved from http://www.rwjf.org/en/research-publications/find-rwjf-research/2014/01/recommendations-from-the-rwjf-commission-to-build-a-healthier-am.html
   Google Scholar
• Society for Medical Decision Making Committee on Standardization of Clinical Algorithms. (1992). Proposal for clinical algorithm standards Medical Decision Making, 12, 149–154
   PubMed Web of Science ®Google Scholar
• Tyler, T. B., Lawton, E., Conroy, K., Sandel, M. & Zuckerman, B. (Eds.). (2011). Poverty, health and law: Readings and cases for medical-legal partnership. Durham, NC: Carolina Academic Press
   Google Scholar
• U.S. Centers for Disease Control and Prevention (CDC). (2014). Social determinants of health. Retrieved from http://www.cdc.gov/socialdeterminants/Index.html
   Google Scholar
• Williams, D. R., Costa, M. V., Odunlami, A. O., & Mohammed, S. A. (2008). Moving upstream: How interventions that address the social determinants of health can improve health and reduce disparities. Journal of Public Health Management & Practice, 14, S8–S17
   PubMed Web of Science ®Google Scholar