Objective This integrative review identifies and analyzes the extant literature to examine the integration of social determinants of health (SDoH) domains into electronic health records (EHRs), their impact on risk prediction, and the specific outcomes and SDoH domains that have been tracked. Materials and Methods In accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a literature search in the PubMed, CINAHL, Cochrane, EMBASE, and PsycINFO databases for English language studies published until March 2020 that examined SDoH domains in the context of EHRs. Results Our search strategy identified 71 unique studies that are directly related to the research questions. 75% of the included studies were published since 2017, and 68% were U.S.-based. 79% of the reviewed articles integrated SDoH information from external data sources into EHRs, and the rest of them extracted SDoH information from unstructured clinical notes in the EHRs. We found that all but 1 study using external area-level SDoH data reported minimum contribution to performance improvement in the predictive models. In contrast, studies that incorporated individual-level SDoH data reported improved predictive performance of various outcomes such as service referrals, medication adherence, and risk of 30-day readmission. We also found little consensus on the SDoH measures used in the literature and current screening tools. Conclusions The literature provides early and rapidly growing evidence that integrating individual-level SDoH into EHRs can assist in risk assessment and predicting healthcare utilization and health outcomes, which further motivates efforts to collect and standardize patient-level SDoH information.

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Transitioning to practice can be challenging for new graduate nurses. These findings have implications for education programs and the role of the nurse.

Carbon Capture and Storage (CCS) technology is expected to a play a significant role in reducing CO2 emissions globally. The first steps for successful deployment include identifying CO2 storage potential, determining CO2 injection rates, evaluating of CO2 transport options, estimating associated costs, and facilitating policy and regulatory frameworks. To evaluate the CCS feasibility in Southeast Asia, we first identify the CO2 storage sites in several member countries of the Association of Southeast Asian Nations (ASEAN). Storage potential is estimated at 11.7 Gt in 234 oil and gas fields, 24.2 Gt in 42 field-scale saline formations, and 275 Gt in basin-scale saline formations. Using the hydrocarbon production data, we calculate the CO2 injection rates in 126 fields and find that 23% of the evaluated fields support injection rates greater than 0.4 Mt/well/year. We evaluate two types of CO2 transportation solutions: via pipeline and via shipping. Our case study with CO2 sourced from Singapore and transported to regional sequestration sites shows strong technical feasibility with transport and storage costs ranging from US$48/ton to US$450/ton. We assess the policy environment of selected countries in ASEAN and suggest potential pathways to enable robust CCS supply chains.