Smart Phone/Device Application to Improve Delivery of Enteral Nutrition in Adult Patients Admitted to the Medical Intensive Care Unit

Clinical informatics solutions in COVID-19 pandemic: Scoping literature review

Background

The global outbreak of COVID-19 (coronavirus disease 2019) disease has highlighted the importance of disease monitoring, diagnosing, treating, and screening. Technology-based instruments could efficiently assist healthcare systems during pandemics by allowing rapid and widespread transfer of information, real-time tracking of data transfer, and virtualization of meetings and patient visits. Therefore, this study was conducted to investigate the applications of clinical informatics (CI) during the COVID-19 outbreak.

Methods

A comprehensive search was performed on Medline and Scopus databases in September 2020. Eligible studies were selected based on the inclusion and exclusion criteria. The extracted data from the studies reviewed were about study sample, study type, objectives, clinical informatics domain, applied method, sample size, outcomes, findings, and conclusion. The risk of bias was evaluated in the studies using appropriate instruments based on the type of each study. The selected studies were then subjected to thematic synthesis.

Results

In this review study, 72 out of 2716 retrieved articles met the inclusion criteria for full-text analysis. Most of the articles reviewed were done in China and the United States of America. The majority of the studies were conducted in the following CI domains: prediction models (60%), telehealth (36%), and mobile health (4%). Most of the studies in telehealth domain used synchronous methods, such as online and phone- or video-call consultations. Mobile applications were developed as self-triage, self-scheduling, and information delivery tools during the COVID-19 pandemic. The most common types of prediction models among the reviewed studies were neural network (49%), classification (42%), and linear models (4.5%).

Conclusion

The present study showed clinical informatics applications during COVID-19 and identified current gaps in this field. Health information technology and clinical informatics seem to be useful in assisting clinicians and managers to combat COVID-19. The most common domains in clinical informatics for research on the COVID-19 crisis were prediction models and telehealth. It is suggested that future researchers conduct scoping reviews to describe and analyze other levels of medical informatics, including bioinformatics, imaging informatics, and public health informatics.

Factors associated with delayed enteral nutrition in the intensive care unit: a propensity score-matched retrospective cohort study

BACKGROUND

Guidelines recommend enteral nutrition (EN) within 48 h of admission to the medical intensive care unit (ICU) in appropriate patients. However, delayed EN is still common.

OBJECTIVES

This study sought to identify risk factors for delayed EN ordering in the ICU and to examine its association with patient outcomes.

METHODS

This was a retrospective study from 2010-2018. Adult patients were included if they were admitted to the medical ICU for >48 h, were appropriate for EN, and had an order for EN placed within 30 d of admission. The primary outcome was ordering of EN, classified as early if ordered within 48 h of ICU admission and otherwise as delayed. Propensity score matching was used to examine the relation between delayed EN and ICU-free days, and outcomes such as length of ICU admission, length of hospitalization during 30 d of follow-up, and mortality.

RESULTS

A total of 738 (79%) patients received early EN and 196 (21%) received delayed EN. The exposures most strongly associated with delayed EN were order placement by a Doctor of Medicine compared with a dietitian [adjusted OR (aOR): 2.58; 95% CI: 1.57, 4.24] and use of vasopressors within 48 h of ICU admission (aOR: 1.78; 95% CI: 1.22, 2.59). After propensity score matching to balance baseline characteristics, delayed EN ordering was significantly associated with fewer ICU-free days, longer ICU admissions, and longer hospitalizations, but not mortality, compared with early EN.

CONCLUSIONS

Provider-level factors were associated with delayed ordering of EN which itself was associated with worse outcomes. Interventions directed at providers may increase timely EN in the ICU and improve outcomes.