Assessing Neonatal Intensive Care Unit Structures and Outcomes Before and During the COVID-19 Pandemic: Network Analysis Study

Shift-Level Team Familiarity Is Associated with Improved Outcomes in Mechanically Ventilated Adults

Rationale: Organizing ICU interprofessional teams is a high priority because of workforce needs, but the role of interprofessional familiarity remains unexplored. Objectives: Determine if mechanically ventilated patients cared for by teams with greater familiarity have improved outcomes, such as lower mortality, shorter duration of mechanical ventilation (MV), and greater spontaneous breathing trial (SBT) implementation. Methods: We used electronic health records data of five ICUs in an academic medical center to map interprofessional teams and their ICU networks, measuring team familiarity as network coreness and mean team value. We used patient-level regression models to link team familiarity with patient outcomes, accounting for patient and unit factors. We also performed a split-sample analysis by using 2018 team familiarity data to predict 2019 outcomes. Measurements and Main Results: Team familiarity was measured as the average number of patients shared by each clinician with all other clinicians in the ICU (i.e., coreness) and the average number of patients shared by any two members of the team (i.e., mean team value). Among 4,485 encounters, unadjusted mortality was 12.9%, average duration of MV was 2.32 days, and SBT implementation was 89%; average team coreness was 467.2 (standard deviation [SD], 96.15), and average mean team value was 87.02 (SD, 42.42). A 1-SD increase in team coreness was significantly associated with a 4.5% greater probability of SBT implementation, 23% shorter MV duration, and 3.8% lower probability of dying; the mean team value was significantly associated with lower mortality. Split-sample results were attenuated but congruent in direction and interpretation. Conclusions: Interprofessional familiarity was associated with improved outcomes; assignment models that prioritize familiarity might be a novel solution.

Learning from Non-Routine Events and Teamwork in Intensive Care Units: Challenges and Opportunities

Patients admitted to intensive care units (ICUs) have profound and complex illnesses, often fraught with uncertainties in diagnoses, treatments, and care decisions. Clinicians often deviate from best practices to handle ICUs' myriad complexities and uncertainties. Non-routine events (NREs), defined as any aspect of care perceived by clinicians as deviations from optimal care, are latent and frequent safety threats that, if left unchecked, can be precursors to adverse events. Proper identification and analysis of NREs that represent latent safety threats have been proposed as a feasible and more effective approach for performance improvement than traditional root cause analysis for patient safety events. However, NRE studies to date have yet to show the holistic picture of NREs in the contexts of teamwork and time-dependent tasks that are frequently associated with NREs. NREs, an upstream interventional area to understand root causes, team performance, and human-computer interaction, still needs to be expanded. This article presents concepts of NREs, and the use of real-world data (RWD) and informatics methodology to investigate NREs in contexts and discusses the opportunities and challenges to enhance NREs research in teamwork and time-dependent tasks.

Assessing Intrahospital Care Transition Structures Before and During the COVID-19 Pandemic: Network Analysis Study

Transitions of care (TOC) is essential for patients with complex medical needs to maintain the continuity of care. The COVID-19 pandemic may result in unexpected pressure on healthcare organizations' routine work and may burden the TOC system. The objective of this study is to assess TOC structures in pre- and intra-COVID-19 and quantify changes in the structures through the lens of network analysis. We investigated a trauma registry repository consisting of care transitions of 5,674 (2,699 and 2,975 in pre- and intra-COVID-19) inpatients admitted to Vanderbilt University Medical Center (VUMC) between January 2019 and May 2021. Network metrics, including assortativity, homophily, and small-world-ness were leveraged to measure TOC structures and their changes. Our results showed both pre- and intra-COVID-19 TOC structures were disassortative, homophily, and small-world- ness, and the COVID-19 pandemic had limited influences on the three characteristics of the TOC structures. The disassortative TOC structure indicates patients can be efficiently transferred between triage centers (highly connected units) and receivers (lowly connected units); the homophily structure demonstrates two connected care units serve similar patients, and the small-world-ness reveals a patient can be transferred to highly collaborative care units with a short length of transfer path.

Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures

OBJECTIVE

The aim of this article is to compare the aims, measures, methods, limitations, and scope of studies that employ vendor-derived and investigator-derived measures of electronic health record (EHR) use, and to assess measure consistency across studies.

MATERIALS AND METHODS

We searched PubMed for articles published between July 2019 and December 2021 that employed measures of EHR use derived from EHR event logs. We coded the aims, measures, methods, limitations, and scope of each article and compared articles employing vendor-derived and investigator-derived measures.

RESULTS

One hundred and two articles met inclusion criteria; 40 employed vendor-derived measures, 61 employed investigator-derived measures, and 1 employed both. Studies employing vendor-derived measures were more likely than those employing investigator-derived measures to observe EHR use only in ambulatory settings (83% vs 48%, P = .002) and only by physicians or advanced practice providers (100% vs 54% of studies, P < .001). Studies employing vendor-derived measures were also more likely to measure durations of EHR use (P < .001 for 6 different activities), but definitions of measures such as time outside scheduled hours varied widely. Eight articles reported measure validation. The reported limitations of vendor-derived measures included measure transparency and availability for certain clinical settings and roles.

DISCUSSION

Vendor-derived measures are increasingly used to study EHR use, but only by certain clinical roles. Although poorly validated and variously defined, both vendor- and investigator-derived measures of EHR time are widely reported.

CONCLUSION

The number of studies using event logs to observe EHR use continues to grow, but with inconsistent measure definitions and significant differences between studies that employ vendor-derived and investigator-derived measures.

Psychosocial Difficulties Experienced By Parents Of Babies Treated In A Neonatal Intensive Care Unit During The Coronavirus Pandemic

AIM

This study had two objectives: (1) to investigate the psychosocial difficulties experienced by parents of babies treated in a neonatal intensive care unit during the coronavirus pandemic and (2) to determine parent-infant attachment.

MATERIALS AND METHODS

This study adopted phenomenology, a qualitative research design in order to answer the research questions design. The sample consisted of 20 parents of babies treated in the neonatal intensive care unit (NICU) of a City Hospital in Turkey between July and August 2021. Participation was voluntary. Data were collected using a sociodemographic characteristics questionnaire and a semi-structured qualitative interview form. Each participant was interviewed face to face. Each interview was recorded and transcribed. The data were analyzed using content analysis.

RESULTS

Participants had a mean age of 32.2 ± 3.61 years and at least secondary school degrees. Babies were admitted to the NICU for congenital anomalies (n = 3) or preterm birth (n = 7). Participants experienced anxiety, worry, and loneliness and produced less milk because they could not see and touch their babies. Their greatest source of support was their spouses.

CONCLUSION

Parents of babies treated in the NICU during the COVID-19 pandemic experience anxiety, sadness, unhappiness, and loneliness. The preventive measures against the pandemic affect parents psychosocially. Healthcare professionals should plan and implement care practices and establish effective communication with parents to identify their physiological, psychological, and social needs and help them produce breastmilk and bond with their babies.