DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Personalized predictive medicine necessitates the modeling of patient illness and care processes, which inherently have long-term temporal dependencies. Healthcare observations, recorded in electronic medical records, are episodic and irregular in time. We introduce DeepCare, an end-to-end deep dynamic neural network that reads medical records, stores previous illness history, infers current illness states and predicts future medical outcomes. At the data level, DeepCare represents care episodes as vectors in space, models patient health state trajectories through explicit memory of historical records. Built on Long Short-Term Memory (LSTM), DeepCare introduces time parameterizations to handle irregular timed events by moderating the forgetting and consolidation of memory cells. DeepCare also incorporates medical interventions that change the course of illness and shape future medical risk. Moving up to the health state level, historical and present health states are then aggregated through multiscale temporal pooling, before passing through a neural network that estimates future outcomes. We demonstrate the efficacy of DeepCare for disease progression modeling, intervention recommendation, and future risk prediction. On two important cohorts with heavy social and economic burden -- diabetes and mental health -- the results show improved modeling and risk prediction accuracy.Comment: Accepted at JBI under the new name: "Predicting healthcare trajectories from medical records: A deep learning approach

Toward a client-centered benchmark for self-sufficiency: Evaluating the ‘process’ of becoming job ready.

The purpose of this study is to evaluate how service providers, clients, and graduates of a job training program define the term self-sufficiency (SS). This community-engaged, mixed method study qualitatively analyzes focus group data from each group and quantitatively examines survey data obtained from participants of the program. Findings reveal that psychological transformation as a ‘process’ represents the emic definition of SS—psychological SS—but each dimension of the concept is reflected in varying degrees by group. Provider and participant views are vastly different from the outcome-driven policy and funder definitions. Implications for benchmarking psychological SS as an empowerment-based ‘process’ measure of job readiness in workforce development evaluation are discussed

Full-Time Caregiving During COVID-19 Based on Minority Identifications, Generation, and Vaccination Status

Purpose: This study compared different types of full-time caregiver (e.g., children, older adults, COVID-19 patients) and subgroups (e.g., disability, race/ethnicity, sexual orientation) in the United States during the COVID-19 pandemic for potentially meaningful distinctions. Methodology/Approach: Data from the 9,854 full-time caregivers identified in Phase 3.2 (July 21–October 11, 2021) of the US Census Household Pulse Survey (HPS) were analyzed in this study using multinomial logistic regression to examine relationships between caregiver types, marginalized subgroups, generation, and vaccination status. Findings: The prevalence of caregiving was low, but the type of full-time caregiving performed varied by demographic group (i.e., disability, race/ethnicity, sexual orientation, gender, generation, and vaccination status). The relative risk of being a COVID-19 caregiver remained significant for being a member of each of the marginalized groups examined after all adjustments. Limitations/Implications: To date, the HPS has not been analyzed to predict the type of full-time informal caregiving performed during the COVID-19 pandemic or their characteristics. Research limitations of this analysis include the cross-sectional, experimental dataset employed, as well as some variable measurement issues. Originality/Value of Paper: Prior informal caregiver research has often focused on the experiences of those caring for older adults or children with special healthcare needs. It may be instructive to learn whether and how informal caregivers excluded from paid employment during infectious disease outbreaks vary in meaningful ways from those engaged in other full-time caregiving. Because COVID-19 magnified equity concerns, examining demographic differences may also facilitate customization of pathways to post-caregiving workforce integration

Complementary Alternative Medical Therapies for Heart Surgery Patients: Feasibility, Safety, and Impact

BACKGROUND: Complementary therapies (touch, music) are used as successful adjuncts in treatment of pain in chronic conditions. Little is known about their effectiveness in care of heart surgery patients. Our objective is to evaluate feasibility, safety, and impact of a complementary alternative medical therapies package for heart surgery patients. METHODS: One hundred four patients undergoing open heart surgery were prospectively randomized to receive either complementary therapy (preoperative guided imagery training with gentle touch or light massage and postoperative music with gentle touch or light massage and guided imagery) or standard care. Heart rate, systolic and diastolic blood pressure, and pain and tension were measured preoperatively and as pre-tests and post-tests during the postoperative period. Complications were abstracted from the hospital record. RESULTS: Virtually all patients in the complementary therapy group (95%) and 86% in standard care completed the study. Heart rate and blood pressure patterns were similar. Decreases in heart rate and systolic blood pressure in the complementary therapies group were judged within the range of normal values. Complication rates were very low and occurred with similar frequency in both groups. Pretreatment and posttreatment pain and tension scores decreased significantly in the complementary alternative medical therapies group on postoperative days 1 (p \u3c 0.01) and 2 (p \u3c 0.038). CONCLUSIONS: The complementary medical therapies protocol was implemented with ease in a busy critical care setting and was acceptable to the vast majority of patients studied. Complementary medical therapy was not associated with safety concerns and appeared to reduce pain and tension during early recovery from open heart surgery