Clinical decision support tools useful for identifying sepsis risk

PURPOSE

Evaluate the effectiveness of the clinical decision support tools (CDSTs), POC Advisor (POCA), and Modified Early Warning System (MEWS) in identifying sepsis risk and influencing time to treatment for inpatients, comparing their respective alert mechanisms.

METHODS

This study was conducted at two academic university medical center hospitals. Data from adult inpatients in medical-surgical and telemetry units were analyzed from January 1, 2020, to December 31, 2020. Criteria included sepsis-related ICD-10 codes, antibiotic administration, and ordered sepsis labs. Subsequent statistical analyses utilized Fisher's exact test and Wilcoxon Rank Sum test, focusing on mortality differences by age, sex, and race/ethnicity.

RESULTS

Among 744 patients, 143 sepsis events were identified, with 83% already receiving treatment upon CDST alert. Group 1 (POCA alert) showed reduced response time compared with MEWS, while Group 3 (MEWS) experienced longer time to treatment. Group 4 included sepsis events missed by both systems. Mortality differences were not significant among the groups.

CONCLUSION

While CDSTs play a role, nursing assessment and clinical judgment are crucial. This study recognized the potential for alarm fatigue due to a high number of CDST-driven alerts, while emphasizing the importance of a collaborative approach for prompt sepsis treatment and potential reduction in sepsis-related mortality.

Longitudinal depression screening of frontline critical care nurses during the COVID-19 pandemic: A mixed-methods study

PURPOSE

To evaluate the severity and longitudinal trends of depression in critical care nurses caring for patients with COVID-19 in the US during a global pandemic.

METHODS

The study employed longitudinal mixed methods. Using the Patient Health Questionnaire (PHQ-9), nurses were sent electronic surveys at baseline, 1 month, and between 3 and 6 months to measure the severity and trends of depression during the prevaccination stage of the COVID-19 pandemic. One-on-one interviews were conducted with critical care nurses to evaluate their depressive symptoms.

RESULTS

Forty-eight nurses completed the questionnaire at baseline, 40 completed 1-month surveys, and 20 completed the 3 to 6 month surveys. The mean PHQ-9 score was 5.85, 6.20, and 8.30 at baseline, at 1 month, and at 3 to 6 months, respectively. PHQ-9 scores increased significantly over time (estimate = 1.120, P = .037). The probability of participants being moderately to severely depressed was 0.980 (P = .049) at baseline, 0.990 (P = .013) at 1 month, and 1.0 (P = .002) at 3 to 6 months. Fourteen nurses were included in a single, one-on-one interview. Eight major themes were found in qualitative analyses. For example, nurses expressed fear of spreading COVID-19 to their loved one and community. Common themes identified within the interviews included uncertainty, limited human interaction, fluctuations in mood, life is in my hands, a threat to others, positive and negative coping, nurses as scapegoats, and emerging vulnerability to COVID-19 exposure. All 14 nurses who were interviewed denied accessing any mental health services.

CONCLUSIONS

More research is needed to evaluate critical care nurses who care for patients with COVID-19 and their levels of depression to improve practice at the bedside further and develop policies to promote their well-being.