Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions.

Background: Social determinants of health (SDoH) like socioeconomics and neighborhoods strongly influence outcomes, yet standardized SDoH data is lacking in electronic health records (EHR), limiting research and care quality. Methods: We searched PubMed using keywords "SDOH" and "EHR", underwent title/abstract and full-text screening. Included records were analyzed under five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions. Results: We identified 685 articles, of which 324 underwent full review. Key findings include tailored screening instruments implemented across settings, census and claims data linkage providing contextual SDoH profiles, rule-based and neural network systems extracting SDoH from notes using NLP, connections found between SDoH data and healthcare utilization/chronic disease control, and integrated care management programs executed. However, considerable variability persists across data sources, tools, and outcomes. Discussion: Despite progress identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical to fulfill the potential of SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.

Use of Big Data in Disaster Recovery: An Integrative Literature Review.

OBJECTIVE: Disasters of all varieties have been steadily increasing in frequency. Simultaneously, "big data" has seen explosive growth as a tool in business and private industries while opportunities for robust implementation in disaster management remain nascent. To more explicitly ascertain the current status of big data as applied to disaster recovery, we conducted an integrative literature review. METHODS: Eleven databases were searched using iteratively developed keywords to target big data in a disaster recovery context. All studies were dual-screened by title and abstract followed by dual full-text review to determine if they met inclusion criteria. Articles were included if they focused on big data in a disaster recovery setting and were published in the English-language peer-reviewed literature. RESULTS: After removing duplicates, 25,417 articles were originally identified. Following dual title/abstract review and full-text review, 18 studies were included in the final analysis. Among those, 44% were United States-based and 39% focused on hurricane recovery. Qualitative themes emerged surrounding geographic information systems (GIS), social media, and mental health. CONCLUSIONS: Big data is an evolving tool for recovery from disasters. More research, particularly in real-time applied disaster recovery settings, is needed to further expand the knowledge base for future applications.

The effect of 1-day multidisciplinary clinic on breast cancer treatment.

PURPOSE: A delay in breast cancer treatment is associated with inferior survival outcomes; however, no clear guidelines exist defining the appropriate time frame from diagnosis to definitive treatment of breast cancer. A multidisciplinary approach for breast cancer treatment can minimize the time from diagnosis to first treatment. We hypothesized single-day multidisciplinary clinic (MDC) may accelerate the time to first treatment on complex breast cancer cases at our institution. METHODS: We identified patients who were treated at Johns Hopkins for stage II or III breast cancer, who were at least 18 years of age, and were seen in a new single-day MDC with coordination between two or three specialties or by specialists from varying disciplines on different days (IDC). Patients who initiated treatment between May 2015 (initiation of MDC clinic) and December 2017 were included in our study. RESULTS: A total of 296 patient records were reviewed independently. The mean (SD) patient age was 55 (13) years. The median time to first neoadjuvant chemotherapy (NACT) was significantly reduced for patients seen in the MDC (12.7 days), compared to those seen at the IDC (24.4 days, logrank p < 0.001). The median time to definitive surgery was similar between groups (31 and 32 days for the MDC and IDC cohorts, respectively). CONCLUSIONS: A single-day MDC visit is associated with a reduced time from diagnosis to NACT. Further studies are needed to determine if a shorter interval can improve the management and the outcome of complex breast cancer cases.

A randomized trial of prewarming on patient satisfaction and thermal comfort in outpatient surgery.

STUDY OBJECTIVE: To test the primary hypothesis that forced-air prewarming improves patient satisfaction after outpatient surgery and to evaluate the effect on core temperature and thermal comfort. DESIGN: Prospective randomized controlled trial. SETTING: Preoperative area, operating room, and postanesthesia care unit. PATIENTS: A total of 115 patients aged 18 to 75 years with American Society of Anesthesiologists status <4 and body mass index of 15 to 36kg/m(2) who were undergoing outpatient surgery (duration <4 hours). INTERVENTIONS: Patients were randomized to active prewarming with a Mistral-Air warming system initially set to 43°C or no active prewarming. All patients were warmed intraoperatively. MEASUREMENTS: Demographic and morphometric characteristics, perioperative core temperature, ambient temperature, EVAN-G satisfaction score, thermal comfort via visual analog scales. MAIN RESULTS: Data from 102 patients were included in the final analysis. Prewarming did not significantly reduce redistribution hypothermia, with prewarmed minus not prewarmed core temperature differing by only 0.18°C (95% confidence interval [CI], -0.001 to 0.37) during the initial hour of anesthesia (P=.052). Prewarming increased the mean EVAN-G satisfaction score, although not significantly, with an overall difference (prewarmed minus not prewarmed) of 5.6 (95% CI, -0.9 to 12.2; P=.09). Prewarming increased thermal comfort, with an overall difference of 6.6 mm (95% CI, 1.0-12.9; P=.02). CONCLUSION: Active prewarming increased thermal comfort but did not significantly reduce redistribution hypothermia or improve postoperative patient satisfaction.