Control Centre for Intensive Care as a Tool for Effective Coordination, Real-Time Monitoring, and Strategic Planning During the COVID-19 Pandemic

Evaluation of Malnutrition Knowledge among Nursing Staff in the Czech Republic: A Cross-Sectional Psychometric Study

Construct: The Knowledge of Malnutrition - Geriatric 2.0' (KoM-G 2.0) instrument was designed to quantify nursing staff malnutrition knowledge in inpatient medical and rehabilitation care facilities, as well as home health care. It has been used to assess grasp of current clinical practice guidelines and proficiency in addressing issues related to malnutrition. It provides insight into familiarity with and capacity to tackle issues pertaining to malnutrition in clinical practice. Furthermore, it has been used assess the effectiveness of educational interventions aimed at improving nursing professionals knowledge and awareness of malnutrition. Background: The quality of nursing education affects malnutrition risk assessment, monitoring of food intake, and effectiveness of nutrition care. Improvements in malnutrition education require determining the current level of knowledge and benchmarking with other countries. In the Czech Republic, no nationwide assessment of nursing staff malnutrition knowledge has ever been conducted. Approach: The purpose of the study was to translate the KoM-G 2.0 instrument, gather initial validity evidence, and evaluate nursing staff knowledge of malnutrition in inpatient medical, rehabilitation care facilities, and home care in the Czech Republic. All inpatient healthcare facilities and home healthcare facilities in the Czech Republic were invited to participate. The Czech version of the internationally standardized KoM-G 2.0 (KoM-G 2.0 CZ) was used to assess nursing staff malnutrition knowledge between 3 February 2021 and 31 May 2021. A total of 728 nurses began the questionnaire, and 465 (63.9%) of respondents completed it and were included in the study. Data analyses examined instrument difficulty, discriminability, and reliability, as well as sources of variation in knowledge scores. Findings: The psychometric characteristics of the KoM-G 2.0 CZ instrument included the difficulty index Q (0.61), the discriminant index (ULI 0.29, RIT 0.38, upper-lower 30% 0.67), and Cronbach alpha (0.619). The overall mean of correct answers was 6.24 (SD 2.8). There was a significant impact of educational attainment and nutrition training on KoM-G 2.0 CZ scores. Conclusions: Our findings provide initial validity evidence that KoM-G 2.0 CZ is useful and appropriate for assessing malnutrition knowledge among Czech nursing staff. Our research identified gaps in knowledge and examples of good practice in understanding malnutrition that can be applied internationally. The knowledge of academic nurses was greater; therefore, we suggest they play a key role in nutritional care. We recommend continuous education to improve understanding of malnutrition in this setting.

Disaster preparedness for intensive care units: Priorities to inform crisis standards of care

BACKGROUND

The number of disasters occurring globally is increasing. Natural hazards, changing geopolitical situations, and increasing population densities may lead to an increased likelihood of a surge of patients requiring health care, some of whom might be requiring intensive care-level treatment. There is a dearth of literature on intensive care unit (ICU) practitioner's priorities regarding disaster preparedness and crisis standards of care.

OBJECTIVES

This study aimed to understand what nurses working in ICUs within Australia prioritise regarding ICU disaster preparedness and the implementation of crisis standards of care.

METHODS

A modified three-round Delphi design was used for this study. A snowballing recruitment method facilitated the purposive sampling of ICU nurses, starting with members of the Australian College of Critical Care Nurses. Eligible participants were asked to rate statements according to their priorities when addressing disaster preparedness of the Australian ICU in which they work. Statements that achieved the 10 highest scores in the final round were tabulated to indicate the broader areas of disaster preparedness that the respondents considered priorities.

RESULTS

A total of 16 participants completed both round two and round three of this Delphi study. Out of 38 statements across six domains, 33 statements achieved consensus. Healthcare practitioner protection, wellbeing, and the management of space populated the top 10 priorities. These priorities included adequate personal protection equipment, services to support healthcare practitioners, and clear communication and debriefing pathways. Another key priority identified was the need for a clear plan on how the ICU footprint will expand to accommodate a surge of patients.

CONCLUSION

Healthcare practitioner wellbeing followed by adequate plans for ICU expansion are key priorities of nursing staff working in ICUs within Australia. Understanding the priorities of those who work in the ICU gives a pragmatic insight into what is required to further develop the disaster preparedness of Australian ICUs.

The Minnesota Critical Care Working Group 1: Monitoring and Coordinating Statewide Critical Care Surge Response in the COVID-19 Pandemic, March 2020 Through July 1, 2021

BACKGROUND

In response to the COVID-19 pandemic and as part of the statewide health care coalition response, the Minnesota Critical Care Working Group (CCWG), composed of interprofessional leaders from the state's 9 largest health systems, was established and entrusted to plan and coordinate critical care support for Minnesota from March 2020 through July 1, 2021.

RESEARCH QUESTION

Can a statewide CCWG develop contingency and crisis-level surge strategies and indicators in response to the COVID-19 pandemic while evolving into a highly collaborative team?

STUDY DESIGN AND METHODS

CCWG members (intensivists, ethicists, nurses, Minnesota Department of Health and Minnesota Hospital Association leaders) met by audio video conferencing as often as daily assessing COVID-19 and non-COVID-19 hospitalization data, developed surge evidence reflecting contingency vs crisis conditions, and planned responses collaboratively. A foundation of collaboration and teamwork developed which facilitated an effective statewide response.

RESULTS

Pandemic surge health care system strategies included use of surge ICU beds, adapted staffing models, restriction of nonemergency procedures, augmentation of tele-ICU care, ability to recognize increasing staff shortages, use of PICU beds for younger adults, and use of noninvasive ventilation in non-ICU settings. CCWG supported development of the Minnesota Medical Operations Coordination Center, which was instrumental in load balancing and mitigating crisis conditions. Minnesota surge strategies are compared with published prepandemic and pandemic experiences regarding staff, space, supplies and medications/equipment, and system strategies. Adopted severe surge best practices included use of adapted staffing models and noninvasive ventilation in non-ICU settings. CCWG effectively developed shared strategies and facilitated ICU load balancing, which supported a regionally consistent standard of care.

INTERPRETATION

CCWG developed statewide critical care surge strategies assisting health care organization response to COVID-19 surges, providing a platform for clinical and operational activities. Collaboration, trust, and teamwork between CCWG leaders and health care organizations was essential to success and serves as a model for future events.

Hospital crisis management in the epidemic: A qualitative study

Background

Despite the advances in medical science, the epidemic of infectious diseases has faced serious challenges to the health system of countries, so the purpose of this study was to identify obstacles and management strategies to prepare for planning preventive measures and better care in dealing with infectious diseases in hospitals.

Method

The current qualitative research was of the grounded theory type, which was conducted in 2023. The semistructured interview questions were obtained from experts. The initial selection of the sample was made from experts in the field of health and treatment from all over the country. The snowball method was used to increase the sample volume until it reached sufficient Value. After analyzing the data through MAXQDA2020 software, this research reached saturation by interviewing 20 experts.

Results

Four main areas, 15 subthemes, and 93 codes were identified in the management of epidemics, which included leadership and management (planning, physical structure, information management, financial resources, manpower, medicine and equipment, and internal and external coordination), Stewardship (macro policy and syndromic care system), safety and resilience (crisis management and emergency and disaster risk management), management of infectious diseases (instructions, education, infection prevention and control, treatment management).

Conclusion

This study presents the strategies of the health system in dealing with the epidemic of infectious diseases to overcome the obstacles and challenges of preparation and response, which can help health managers in designing future programs, and finally, it shows that hospitals should have a plan for resilience in crises.

The Role of Human and Organizational Factors in the Pursuit of One Digital Health

OBJECTIVE

This paper surveys a subset of the 2022 human and organizational factor (HOF) literature to provide guidance on building a One Digital Health ecosystem.

METHODS

We searched a subset of journals in PubMed/Medline for studies with "human factors" or "organization" in the title or abstract. Papers published in 2022 were eligible for inclusion in the survey. Selected papers were categorized into structural and behavioural aspects to understand digital health enabled interactions across micro, meso, and macro systems.

RESULTS

Our survey of the 2022 HOF literature showed that while we continue to make meaningful progress at digital health enabled interactions across systems levels, there are still challenges that must be overcome. For example, we must continue to grow the breadth of HOF research beyond individual users and systems to assist with the scale up of digital health systems across and beyond organizations. We summarize the findings by providing five HOF considerations to help build a One Digital Health ecosystem.

CONCLUSION

One Digital Health challenges us to improve coordination, communication, and collaboration between the health, environmental and veterinary sectors. Doing so requires us to develop both the structural and behavioural capacity of digital health systems at the organizational level and beyond so that we can develop more robust and integrated systems across health, environmental and veterinary sectors. The HOF community has much to offer and must play a leading role in designing a One Digital Health ecosystem.