Inpatient flow management: a systematic review

Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system

BACKGROUND

Globally, emergency departments (EDs) are overcrowded and unable to meet an ever-increasing demand for care. The aim of this study is to comprehensively review and synthesise literature on potential solutions and challenges throughout the entire health system, focusing on ED patient flow.

METHODS

An umbrella review was conducted to comprehensively summarise and synthesise the available evidence from multiple research syntheses. A comprehensive search strategy was employed in four databases alongside government or organisational websites in March 2023. Gray literature and reports were also searched. Quality was assessed using the JBI critical appraisal checklist for systematic reviews and research syntheses. We summarised and classified findings using qualitative synthesis, the Population-Capacity-Process (PCP) model, and the input/throughput/output (I/T/O) model of ED patient flow and synthesised intervention outcomes based on the Quadruple Aim framework.

RESULTS

The search strategy yielded 1263 articles, of which 39 were included in the umbrella review. Patient flow interventions were categorised into human factors, management-organisation interventions, and infrastructure and mapped to the relevant component of the patient journey from pre-ED to post-ED interventions. Most interventions had mixed or quadruple nonsignificant outcomes. The majority of interventions for enhancing ED patient flow were primarily related to the 'within-ED' phase of the patient journey. Fewer interventions were identified for the 'post-ED' phase (acute inpatient transfer, subacute inpatient transfer, hospital at home, discharge home, or residential care) and the 'pre-ED' phase. The intervention outcomes were aligned with the aim (QAIM), which aims to improve patient care experience, enhance population health, optimise efficiency, and enhance staff satisfaction.

CONCLUSIONS

This study found that there was a wide range of interventions used to address patient flow, but the effectiveness of these interventions varied, and most interventions were focused on the ED. Interventions for the remainder of the patient journey were largely neglected. The metrics reported were mainly focused on efficiency measures rather than addressing all quadrants of the quadruple aim. Further research is needed to investigate and enhance the effectiveness of interventions outside the ED in improving ED patient flow. It is essential to develop interventions that relate to all three phases of patient flow: pre-ED, within-ED, and post-ED.

Exploring patient flow management through a lens of cognitive systems engineering

Hospitals work to provide quality, safety, and availability to patients with a wide variety of care needs, which makes efficient prioritisation and resource utilisation essential. Anticipation of each patients' trajectory, while monitoring available resources across the hospital, are major challenges for patient flow management. This study focuses on how hospital patient flow management is realised in situ with the help of concepts from cognitive systems engineering. Five semi-structured interviews with high level managers and shadowing observations of seven full work-shifts with management teams were conducted, to explore how patient flow is coordinated and communicated across the hospital. The data has been analysed using qualitative content analysis. The results describe patient flow management using an adapted Extended Control Model (ECOM) and reveal how authority and information might be better placed closer to clinical work for increased efficiency of patient flow.Practitioner summary: This study describes how a large tertiary paediatric hospital's patient flow management functions. The results offer a new understanding of how patient flow management is communicated and coordinated across organisational levels of the hospital and how authority and information might be better placed closer to clinical work for increased efficiency.

Understanding the impacts of health information systems on patient flow management: A systematic review across several decades of research

Background

Patient flow describes the progression of patients along a pathway of care such as the journey from hospital inpatient admission to discharge. Poor patient flow has detrimental effects on health outcomes, patient satisfaction and hospital revenue. There has been an increasing adoption of health information systems (HISs) in various healthcare settings to address patient flow issues, yet there remains limited evidence of their overall impacts.

Objective

To systematically review evidence on the impacts of HISs on patient flow management including what HISs have been used, their application scope, features, and what aspects of patient flow are affected by the HIS adoption.

Methods

A systematic search for English-language, peer-review literature indexed in MEDLINE and EMBASE, CINAHL, INSPEC, and ACM Digital Library from the earliest date available to February 2022 was conducted. Two authors independently scanned the search results for eligible publications, and reporting followed the PRISMA guidelines. Eligibility criteria included studies that reported impacts of HIS on patient flow outcomes. Information on the study design, type of HIS, key features and impacts was extracted and analysed using an analytical framework which was based on domain-expert opinions and literature review.

Results

Overall, 5996 titles were identified, with 44 eligible studies, across 17 types of HIS. 22 studies (50%) focused on patient flow in the department level such as emergency department while 18 studies (41%) focused on hospital-wide level and four studies (9%) investigated network-wide HIS. Process outcomes with time-related measures such as ‘length of stay’ and ‘waiting time’ were investigated in most of the studies. In addition, HISs were found to address flow problems by identifying blockages, streamlining care processes and improving care coordination.

Conclusion

HIS affected various aspects of patient flow at different levels of care; however, how and why they delivered the impacts require further research.

How Do Health Systems Address Patient Flow When Services Are Misaligned With Population Needs? A Qualitative Study

BACKGROUND

Patient flow through health services is increasingly recognized as a system issue, yet the flow literature has focused overwhelmingly on localized interventions, with limited examination of system-level causes or remedies. Research suggests that intractable flow problems may reflect a basic misalignment between service offerings and population needs, requiring fundamental system redesign. However, little is known about health systems' approaches to population-capacity misalignment, and guidance for system redesign remains underdeveloped.

METHODS

This qualitative study, part of a broader investigation of patient flow in urban Western Canada, explored health-system strategies to address or prevent population-capacity misalignment. We conducted in-depth interviews with a purposive sample of managers in 10 jurisdictions across 4 provinces (N = 300), spanning all healthcare sectors and levels of management. We used the constant comparative method to develop an understanding of relevant strategies and derive principles for system design.

RESULTS

All regions showed evidence of pervasive population-capacity misalignment. The most superficial level of response - mutual accommodation (case-by-case problem solving) - was most prevalent; capacity (re)allocation occurred less frequently; population redefinition most rarely. Participants' insights yielded a general principle: Define populations on the basis of clusters of co-occurring need. However, defining such clusters demands a difficult balance between narrowness/rigidity and breadth/flexibility. Deeper analysis suggested a further principle: Populations that can be divided into homogeneous subgroups experiencing similar needs (eg, surgical patients) are best served by narrow/ rigid models; heterogeneous populations featuring diverse constellations of need (eg, frail older adults) require broad/ flexible models.

CONCLUSION

To remedy population-capacity misalignment, health system planners should determine whether clusters of population need are separable vs. fused, select an appropriate service model for each population, allocate sufficient capacity, and only then promote mutual accommodation to address exceptions. Overreliance on case-by-case solutions to systemic problems ensures the persistence of population-capacity misalignment.

Creating Coherence-Based Nurse Planning in the Perinatology Care System

The combination of increasing demand and a shortage of nurses puts pressure on hospital care systems to use their current volume of resources more efficiently and effectively. This study focused on gaining insight into how nurses can be assigned to units in a perinatology care system to balance patient demand with the available nurses. Discrete event simulation was used to evaluate the what-if analysis of nurse flexibility strategies and care system configurations from a case study of the Perinatology Care System at Radboud University Medical Center in Nijmegen, the Netherlands. Decisions to exercise nurse flexibility strategies to solve supply–demand mismatches were made by considering the entire patient care trajectory perspective, as they necessitate a coherence perspective (i.e., taking the interdependency between departments into account). The study results showed that in the current care system configuration, where care is delivered in six independent units, implementing a nurse flexibility strategy based on skill requirements was the best solution, averaging two fewer under-/overstaffed nurses per shift in the care system. However, exercising flexibility below or above a certain limit did not substantially improve the performance of the system. To meet the actual demand in the studied setting (70 beds), the ideal range of flexibility was between 7% and 20% of scheduled nurses per shift. When the care system was configured differently (i.e., into two large departments or pooling units into one large department), supply–demand mismatches were also minimized without having to implement any of the three nurse flexibility strategies mentioned in this study. These results provide insights into the possible solutions that can be implemented to deal with nurse shortages, given that these shortages could potentially worsen in the coming years.

An analysis of the concept of patient flow management

AIM

To analyze the concept of patient flow management.

BACKGROUND

Patient flow has a significant impact on the provision of patient care. The term "patient flow" is widely used, but the related concept of "patient flow management" has been poorly defined. The ability to differentiate and clarify the term patient flow management has implications on strategies to improve patient flow.

DESIGN

Rodgers evolutionary method of concept analysis.

DATA SOURCE

Literature published between 2000 and 2021 in the PubMed, CINAHL, and Business Source databases.

REVIEW METHODS

Inductive analysis of the literature was performed to identify the usage and features of the concept.

RESULTS

Patient flow management is defined as the application of holistic perspectives, dynamic data, and complex considerations of multiple priorities to enable timely, efficient, and high-quality patient care. Patient flow management requires the identification of a patient, care processes, a flow manager, and frontline staff. It has profound consequences on patient, staff, and hospital system outcomes.

CONCLUSIONS

Literature should more carefully delineate between "patient flow" and "patient flow management." Effective patient flow management increases the speed and quality of patient care, improves employee satisfaction, and reduces healthcare costs. Strategies to improve patient flow management should focus on understanding the role and interventions of flow management nurses.

Improving hospital flow 'Ensiab Project'

Emergency department (ED) boarding is an indicator of less efficient hospital flow and is associated with longer inpatient length of stay, higher readmission rates and increased risk of mortality and medical errors. In addition to being associated with poor patient and staff satisfaction.This article describes the efforts of six tertiary care governmental hospitals in the Kingdom of Saudi Arabia that have enrolled in a collaborative improvement project to reduce ED boarding time.The hospitals implemented a multifaceted system intervention that included forming multidisciplinary flow improvement teams, implementing the National Health Service (NHS) SAFER patient flow bundle, visual management system and multidisciplinary ED bed huddles.By the end of the project, all hospitals significantly reduced ED boarding time with a pooled mean difference of - 7.1 hours (16.6 before, 9.5 hours after, p<0.001), reaching a pooled average of 2 hours in March 2020.Furthermore, by the end of the third learning session, all hospitals were able to achieve a boarding time below 6 hours. The enrolled hospitals also experienced an improvement in hospital flow process measures without any increase in 30-day readmission rates or bed occupancy rates.Our project demonstrates that implementing multifaceted system-wide interventions improves hospital flow and ED boarding time. Additionally, our project demonstrates a significant correlation between improvements in ED boarding time, daily consultant-led rounds and early discharge from inpatient units and time till discharge.

Challenges and potential improvements in hospital patient flow: the contribution of frontline, top and middle management professionals

PURPOSE

This study aims to describe and understand the contributions of frontline, middle and top management healthcare professionals in detecting areas of potential improvement in hospital patient flow and proposing solutions.

DESIGN/METHODOLOGY/APPROACH

This is a qualitative interview study. Semistructured interviews were conducted with 22 professionals in the orthopedic department of a 250-bed academic teaching hospital. Data were analyzed through a thematic framework analytical approach by using an a priori framework. The Consolidated Criteria for Reporting Qualitative (COREQ) checklist for qualitative studies was followed.

FINDINGS

When dealing with a hospital-wide process, the involvement of all professionals, including nonhealth professionals, can reveal priority areas for improvement and for services integration. The improvements identified by the professionals largely focus on covering major gaps detected in the technical and administrative quality.

RESEARCH LIMITATIONS/IMPLICATIONS

This study focused on the professional viewpoint and the connections between services and further studies should explore the role of patient involvement. The study design could limit the generalizability of findings.

PRACTICAL IMPLICATIONS

Improving high-quality, efficient hospital patient flow cannot be accomplished without learning the perspective of the healthcare professionals on the process of service delivery.

ORIGINALITY/VALUE

Few qualitative studies explore professionals' perspectives on patient needs in hospital flow management. This study provides insights into what produces value for the patient within a complex process by analyzing the contribution of professionals from their particular role in the organization.

Beyond the Maslach burnout inventory: addressing emergency medicine burnout with Maslach's full theory

Burnout, a psychological syndrome emerging as a prolonged response to chronic interpersonal stressors on the job, remains a substantial problem for emergency physicians, leading to decreased quality of care and attrition from the workforce. The majority of prior work on burnout in emergency medicine has focused on individualized solutions, which have demonstrated modest efficacy for ameliorating burnout. However, recent studies suggest that burnout in medicine is primarily caused by workplace factors (eg, unmanageable workloads, unreasonable time pressures) and therefore requires solutions at an organizational level. In her decades of research across industries, Christina Maslach identified 6 domains of organizations that can either promote engagement or lead to burnout. In this article, we apply Maslach's 6 domains to emergency medicine to provide a systematic framework for alleviating burnout and promoting engagement among emergency physicians. By considering the domains of workload, reward, control, fairness, community, and value congruence, emergency medicine leaders can develop and deploy more effective interventions aimed at improving the experience and longevity of physicians across our specialty.

Perspectives and practices of health workers around diagnosis of paediatric tuberculosis in hospitals in a resource-poor setting - modern diagnostics meet age-old challenges

BACKGROUND

Detection of tuberculosis (TB) in children in Kenya is sub-optimal. Xpert MTB/RIF® assay (Xpert®) has the potential to improve speed of TB diagnosis due to its sensitivity and fast turnaround for results. Significant effort and resources have been put into making the machines widely available in Kenya, but use remains low, especially in children. We set out to explore the reasons for the under-detection of TB and underuse of Xpert® in children, identifying challenges that may be relevant to other newer diagnostics in similar settings.

METHODS

This was an exploratory qualitative study with an embedded case study approach. Data collection involved semi-structured interviews; small-group discussions; key informant interviews; observations of TB trainings, sensitisation meetings, policy meetings, hospital practices; desk review of guidelines, job aides and policy documents. The Capability, Opportunity and Motivation (COM-B) framework was used to interpret emerging themes.

RESULTS

At individual level, knowledge, skill, competence and experience, as well as beliefs and fears impacted on capability (physical & psychological) as well as motivation (reflective) to diagnose TB in children and use diagnostic tests. Hospital level influencers included hospital norms, processes, patient flows and resources which affected how individual health workers attempted to diagnose TB in children by impacting on their capability (physical & psychological), motivation (reflective & automatic) and opportunity (physical & social). At the wider system level, community practices and beliefs, and implementation of TB programme directives impacted some of the decisions that health workers made through capability (psychological), motivation (reflective & automatic) and opportunity (physical).

CONCLUSION

We used comprehensive approaches to identify influencers of TB case detection and use of TB diagnostic tests in children in Kenya. These results are being used to design a contextually-appropriate intervention to improve TB diagnosis, which may be relevant to similar low-resource, high TB burden countries and can be feasibly implemented by the National TB programme.