Night-time detection and response in relation to deteriorating inpatients: A scoping review

Night Physician-Nurse Collaboration: Developing the Scale of Physicians' Difficulties and Exploring Related Factors in Acute Care Hospitals

Background

Responding to inpatient deterioration is less favorable at night than during the day, and this may be related to barriers in collaboration between physicians and nurses. However, there had been no way to assess the problem. This study aimed to develop a scale for physicians to measure difficulties in nighttime collaboration with nurses in response to deteriorating inpatients and to identify factors associated with the developed scale scores.

Methods

We developed a draft scale of Nighttime Collaboration Difficulties between Nurses and Physicians for Physicians (NCDNP-P) based on key informant interviews with physicians. Psychometric validations, including structural validity, criterion-related validity, and reliability tests, were conducted among physicians who worked on night duty or on call in acute-care hospitals in Japan using a cross-sectional web-based questionnaire. Multiple linear regression analyses were performed using independent variables including individual backgrounds, style of working at night, and facility characteristics.

Results

By performing exploratory factor analysis, we confirmed the structural validity of the NCDNP-P, consisting of seven items and two domains (Domain 1: Dissatisfaction with reporting, Domain 2: Barriers to working with nurses). Cronbach's alpha and McDonald's omega coefficients were 0.81-0.84 and 0.81-0.89, respectively. The criterion-related validity for interprofessional collaboration was confirmed. Multiple regression analysis revealed that the variables employment status, number of night shifts, frequency of nighttime calls about patients under another physician's charge, and handover between physicians before changing shifts were statistically significantly associated with NCDNP-P scores.

Conclusion

We developed the NCDNP-P, confirming its reliability and validity. Identified factors reflect physicians' characteristics and the problems experienced working at night and may be associated with barriers in nighttime collaboration. The NCDNP-P can highlight issues in clinical settings and lead to the consideration of initiatives to address such issues.

Implementation of a critical care outreach team in a children's hospital

Introduction

Proactive surveillance by a critical care outreach team (CCOT) can promote early recognition of deterioration in hospitalized patients but is uncommon in pediatric rapid response systems (RRSs). After our children's hospital introduced a CCOT in 2019, we aimed to characterize early implementation outcomes. We hypothesized that CCOT rounding would identify additional children at risk for deterioration.

Methods

The CCOT, staffed by a dedicated critical care nurse (RN), respiratory therapist, and attending, conducts daily in-person rounds with charge RNs on medical-surgical units, to screen RRS-identified high-risk patients for deterioration. In this prospective study, observers tracked rounds discussion content, participation, and identification of new high-risk patients. We compared 'identified-patient-discussions' (IPD) about RRS-identified patients, and 'new-patient-discussions' (NPD) about new patients with Fisher's exact test. For new patients, we performed thematic analysis of clinical data to identify deterioration related themes.

Results

During 348 unit-rounds over 20 days, we observed 383 discussions - 35 (9%) were NPD. Frequent topics were screening for clinical concerns (374/383, 98%), active clinical concerns (147/383, 39%), and watcher activation (66/383, 17%). Most discussions only included standard participants (353/383, 92%). Compared to IPD, NPD more often addressed active concerns (74.3% vs 34.8%, p < 0.01) and staffing resource concerns (5.7% vs 0.6%, p < 0.04), and more often incorporated extra participants (25.7% vs 6%, p < 0.01). In thematic analysis of 33 new patients, most (29/33, 88%) had features of deterioration.

Conclusion

A successfully implemented CCOT enhanced identification of clinical deterioration not captured by existing RRS resources. Future work will investigate its impact on operational safety and patient-centered outcomes.