Using the Systems Engineering Initiative for Patient Safety (SEIPS) model to describe critical care nursing during the SARS-CoV-2 pandemic (2020)

Mothers' Internet Journeys Through Social, Health Care, and Virtual Systems When Congenital Anomalies Are Diagnosed In Utero

OBJECTIVE

To examine mothers' internet usage, in conjunction with social, health care, and virtual peer support navigations, when congenital anomalies were diagnosed in utero.

DESIGN

Qualitative descriptive, consisting of semistructured interviews.

SETTING

Interview data were collected over Zoom; mothers participated from locations of their choosing.

PARTICIPANTS

Mothers of neonates discharged postoperatively from NICUs for uterine-diagnosed congenital anomalies. The sample was purposefully recruited from private Facebook groups for parents of children with congenital anomalies.

INTERVENTION/MEASUREMENTS

Analysis was done with deductive coding using concepts from the third iteration of the systems engineering initiative for patient safety theory. The a priori codes were health care, social, journey-benefit, journey-risk, task, and technology.

RESULTS

Twenty-two mothers signed up for an interview; 12 completed an interview, and 10 did not. The majority (n = 8, 66%) were White, had a bachelor's or graduate degree (n = 7, 58%) and were between 24 and 33 years of age (n = 8, 66%). Nine themes emerged: (a) Providers cautioned searching for diagnosis information but encouraged private Facebook groups for peer support, (b) Mothers' inquiries for their own care are lacking, (c) Search for information while recognizing parent-partner's coping differences, (d) Pace information from friends and family with patience and appreciation, (e) Manage inquiries from friends and family with group sharing, (f) Private Facebook groups provide a means of receiving and giving peer support, (g) Exposure to difficult stories on Facebook is a risk of stress, (h) Select a NICU, learn about their children's diagnoses, participate in virtual peer support, and (i) Device features frame search strategies.

CONCLUSION

Mothers reflected on the internet as a burden and a source of support in their health care journeys. The ubiquity of internet access calls for mothers to include in their health care journeys the complexities of managing time spent on the internet.

A Qualitative Study of Systems-Level Factors That Affect Rural Obstetric Nurses' Work During Clinical Emergencies

BACKGROUND

Maternal morbidity and mortality is rising in the United States. Previous studies focus on patient attributes, and most of the national data are based on research performed at urban tertiary care centers. Although it is well understood that nurses affect patient outcomes, there is scant evidence to understand the nurse work system, and no studies have specifically studied rural nurses. The authors sought to understand the systems-level factors affecting rural obstetric nurses when their patients experience clinical deterioration.

METHODS

The research team used a qualitative descriptive approach, including a modified critical incident technique, in interviews with bedside nurses (n = 7) and physicians (n = 4) to understand what happens when patients experience clinical deterioration. Physicians were included to better understand the systems in which nurses work. Clinicians were interviewed at three rural hospitals in New England, with a mean births per year of 190.

FINDINGS

Six systems-level factors/themes were identified: (1) shortages of resources; (2) need for teamwork; (3) physicians' multiple conflicting and simultaneous responsibilities, such as seeing patients in the office while women labor on the hospital floor; (4) need for all team members to be at the top of their game; (5) process issues during high-acuity patient transfer, including difficulty finding available beds at tertiary care centers; and (6) insufficient policies that take low-resource contexts into account, such as requiring two registered nurses to remove emergency medications from the medication cabinet.

CONCLUSION

Rural nurses need policies and protocols that are written with their hospital context in mind. Hospitals may need outside support for content expertise, but policies should be co-created with clinicians with rural practice experience.

"I'm dealing with a health care system that doesn't get it": Barriers and facilitators to inclusive healthcare for autistic adults

LAY ABSTRACT

Research has suggested that autistic adults may have a bigger chance of having mental health and physical health conditions such as depression, anxiety, sleep disorders, diabetes, obesity, and heart problems than adults without autism. Unfortunately, the unique healthcare needs of autistic adults are often overlooked, so it is not clear why autistic adults have worse health or what can be done to improve it. This study wants to find out the challenges autistic adults experience in taking care of their health and in going to different doctors. Researchers interviewed autistic adults across the country about their healthcare experiences. The interviewed autistic adults told the researchers about the barriers (things that did not help) and facilitators (things that did help) that impacted whether they received the care they needed. The researchers then organized what they learned from the autistic adults into a model called the Systems Engineering Initiative for Patient Safety model of work system and patient safety. This model explains how different parts of a healthcare system (person, tasks, technology and tools, environment, and organization) interact with one another and impact the healthcare experiences and outcomes of the patients in their care, like autistic adults. Overall, this study advocates for a systems-level approach to improving the healthcare experiences of autistic adults and their health outcomes.

Building a Covid-19 secure intensive care unit: A human-centred design approach

Background

The Covid-19 pandemic has highlighted weaknesses in the National Health Service critical care provision including both capacity and infrastructure. Traditionally, healthcare workspaces have failed to fully incorporate Human-Centred Design principles resulting in environments that negatively affect the efficacy of task completion, patient safety and staff wellbeing. In the summer of 2020, we received funds for the urgent construction of a Covid-19 secure critical care facility. The aim of this project was to design a pandemic resilient facility centred around both staff and patient requirements and safety, within the available footprint.

Methods

We developed a simulation exercise, underpinned by Human-Centred Design principles, to evaluate intensive care designs through Build Mapping, Tasks Analysis and Qualitative data. Build Mapping involved taping out sections of the design and mocking up with equipment. Task Analysis and qualitative data were collected following task completion.

Results

56 participants completed the build simulation exercise generating 141 design suggestions (69 task related, 56 patient and relative related, 16 staff related). Suggestions translated to 18 multilevel design improvements; five significant structural changes (Macro level) including wall moves and lift size change. Minor improvements were made at a Meso and Micro design level. Critical care design drivers identified included functional drivers (visibility, Covid-19 secure environment, workflow, and task efficiency) and behavioural drivers (learning and development, light, humanising intensive care and design consistency).

Conclusion

Success of clinical tasks, infection control, patient safety and staff/patient wellbeing are highly dependent on clinical environments. Primarily, we have improved clinical design by focusing on user requirements. Secondly, we developed a replicable approach to exploring healthcare build plans revealing significant design changes, that may have only been identified once built.

Selecting a theoretical framework to guide research on the COVID-19 pandemic impacts on nursing care delivery and the critical care work system (using Reed's Intermodern approach to theory critique)

Understanding the impact of COVID-19 on nursing care delivery in critical care work systems is urgently needed. Theoretical frameworks guide understanding of phenomena in research. In this paper, we critique four theoretical frameworks (Donabedian's Quality Model, the Quality Health Outcomes Model, the Systems Research Organizing Model, and the Systems Engineering (SEIPS) 2.0 Model) using Reed's (2018) Intermodern philosophical perspective of nursing science. Reed's (2018) Intermodern approach to theory critique was selected for its pragmatic perspective and focus on personal and professional health and wellbeing. The SEIPS 2.0 Model was ultimately selected to guide the study of the impact of the COVID-19 Pandemic on nursing care delivery in the critical care work systems.

Investigating the cognitive capacity constraints of an ICU care team using a systems engineering approach

Background

ICU operational conditions may contribute to cognitive overload and negatively impact on clinical decision making. We aimed to develop a quantitative model to investigate the association between the operational conditions and the quantity of medication orders as a measurable indicator of the multidisciplinary care team’s cognitive capacity.

Methods

The temporal data of patients at one medical ICU (MICU) of Mayo Clinic in Rochester, MN between February 2016 to March 2018 was used. This dataset includes a total of 4822 unique patients admitted to the MICU and a total of 6240 MICU admissions. Guided by the Systems Engineering Initiative for Patient Safety model, quantifiable measures attainable from electronic medical records were identified and a conceptual framework of distributed cognition in ICU was developed. Univariate piecewise Poisson regression models were built to investigate the relationship between system-level workload indicators, including patient census and patient characteristics (severity of illness, new admission, and mortality risk) and the quantity of medication orders, as the output of the care team’s decision making.

Results

Comparing the coefficients of different line segments obtained from the regression models using a generalized F-test, we identified that, when the ICU was more than 50% occupied (patient census > 18), the number of medication orders per patient per hour was significantly reduced (average = 0.74; standard deviation (SD) = 0.56 vs. average = 0.65; SD = 0.48; p < 0.001). The reduction was more pronounced (average = 0.81; SD = 0.59 vs. average = 0.63; SD = 0.47; p < 0.001), and the breakpoint shifted to a lower patient census (16 patients) when at a higher presence of severely-ill patients requiring invasive mechanical ventilation during their stay, which might be encountered in an ICU treating patients with COVID-19.

Conclusions

Our model suggests that ICU operational factors, such as admission rates and patient severity of illness may impact the critical care team’s cognitive function and result in changes in the production of medication orders. The results of this analysis heighten the importance of increasing situational awareness of the care team to detect and react to changing circumstances in the ICU that may contribute to cognitive overload.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12871-021-01548-7.