Introduction Our pilot Emergency Department Discharge Center (EDDC) facilitates post-discharge appointments, and screens for social determinants of health (SDoH) with a long, paper-based tool. No criteria guide which patients to refer to EDDC for appointment-making. Patients screening positive for SDoH are texted or emailed a list of community-based organizations (CBOs) to contact; the screening tool doesn't assess patients' interest or ability to contact CBOs. Additionally, our ED's clinical and operational administrators run a follow-up call program for discharged patients to inquire about their recovery. This program is associated with improved patient satisfaction, a strategic initiative tied to reimbursement. Owing to high volume, only 8.6% (4,877 of 56,591) of discharged patients are called. We describe an application of Learning Organization principles and practices to evaluate EDDC efficiency and identify opportunities to create time for EDDC staff to participate in and expand the follow-up call program. Methods A "Learning Organization" follows five principles (systems thinking, personal mastery, mental models, shared vision, and team learning) to facilitate its members' learning and continuously transform itself. To evaluate EDDC processes ("systems thinking"), the overriding Learning Organization principle we adopted was "integrate learning into the business process." We established "team learning" by engaging EDDC staff and ED leadership ("leadership commitment"), thereby "promoting ownership at every level." We shadowed EDDC staff and analyzed data for 3,616 patients receiving appointment assistance, 342 offered SDoH screening, and 4,877 called by phone. We identified the validated SHOUT tool (which predicts discharge failure) and its highly weighted criteria (no home, insurance, or primary care physician). We randomly surveyed 50 patients to determine: 1) what percent met those highly-weighted criteria, with the idea being to guide providers about which patients particularly benefit from EDDC assistance, and 2) what percent had not only SDoH social service needs but also interest and ability to contact CBOs, as this would be their responsibility. Adopting these two changes (SHOUT tool and assessing interest/ability to contact CBOs) might yield more judicious utilization of EDDC personnel, freeing up time to staff the follow-up call program. Results EDDC staff spend ~35 minutes/patient. They don't make appointments but instead liaise with physicians' offices, which yields fewer ED returns and admissions. Only 6% (3 of 50) of surveyed patients met SHOUT criteria for EDDC assistance. Of 342 patients screened for SDoH, 31% (106) completed the survey, 20% (68) identified a need, and only 4.5% (15) completed it, identified a need, and followed up on their own after receiving CBO names and contact information. Only 50% of call-back patients were contactable: 77% had improved, 21% were unchanged; ~50% had made appointments without EDDC assistance; and 12.5% had clinical questions. Conclusion Learning Organization exercises identified the SHOUT tool and revealed the potential for SHOUT criteria and QR-code-accessible two-step SDoH surveys to create significant time for EDDC to staff follow-up program expansion. Thousands more patients would be screened for SDoH, saving 95% of the effort while retaining 100% of the benefit. EDDC staff would serve as a safety net for follow-up calls for patients unable to secure an appointment.
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http://dx.doi.org/10.7759/cureus.73470 | DOI Listing |
Cureus
November 2024
Emergency Medicine, Northwell Health Long Island Jewish Medical Center, New Hyde Park, USA.
Introduction Our pilot Emergency Department Discharge Center (EDDC) facilitates post-discharge appointments, and screens for social determinants of health (SDoH) with a long, paper-based tool. No criteria guide which patients to refer to EDDC for appointment-making. Patients screening positive for SDoH are texted or emailed a list of community-based organizations (CBOs) to contact; the screening tool doesn't assess patients' interest or ability to contact CBOs.
View Article and Find Full Text PDFHealth Secur
January 2020
Yujie Meng, MS, and Songwang Wang, MD, are with the Information Center, and Xiaopeng Qi, PhD, is Deputy Director, Center for Global Public Health; all at the Chinese Center for Disease Control and Prevention, Beijing, China. Yuzhi Zhang, PhD, Shuyu Wu, PhD, and Jeanette J. Rainey, PhD, are with the Division of Global Health Protection, Center for Global Health, US Centers for Disease Control and Prevention, Country Office in China, Beijing, China. Hongning Zhou, MSc, is Director, Yunnan Institute of Parasitic Diseases, Pu'er, China. Changwen Ke, MS, is Director, Institute of Pathogenic Microbiology, Guangdong Provincial Centre for Disease Control and Prevention, Guangzhou, China. The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of any organization.
Global spread of Zika virus in 2015 and 2016 highlighted the importance of surveillance to rapidly detect, report, and respond to emerging infections. We describe the lessons learned from the development and deployment of a web-based surveillance reporting system for Zika virus and other acute febrile illnesses (AFI) in Guangdong and Yunnan provinces, China. In less than 2 months, we customized the China Epidemiologic Dynamic Data Collection (EDDC) platform to collect, manage, and visualize data in close to real time.
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