Outcomes of managing healthcare services using the Theory of Constraints: A systematic review

Bottleneck factors impacting nurses' workflow and the opportunity to prioritize improvement efforts: factor analysis

PURPOSE

Minimizing delays in delivering nursing care is paramount for enhancing the overall quality of care. Certain bottleneck variables restrict the workflow of nurses, resulting in extended shift times. This study is designed to pinpoint and analyze the principal factors contributing to bottleneck issues in nursing workflow, to direct improvement endeavors. This study seeks to provide insights into the key variables contributing to nurses' extended shift times, with the ultimate goal of prioritizing efforts for improvement.

METHODS

A descriptive multicenter cross-sectional study was conducted. A scale was developed for this study by the authors after conducting a literature review, subsequently validated, and its reliability was assessed.

RESULTS

Among the 31 bottleneck variables, 29 were retained under three persistent bottleneck factors: (1) Nurse staffing- This pertains to the availability of sufficient nursing staff at all times across the continuum of care; (2) Working environment and quality of care-This refers to the availability of necessary skills and resources for nurses to perform their duties effectively and; (3) Medical devices- This factor concerns the availability of fully functional medical devices required for providing care.

CONCLUSION

Efforts aimed at enhancing the overall healthcare system should concentrate on addressing persistent bottleneck factors. This may involve the implementation of a healthcare workforce management system, the establishment of standards for a conducive and supportive working environment, and the utilization of a standardized system for the management of medical equipment. The outcomes of this study can be utilized by nurses and policymakers to devise comprehensive strategies for improvement.

Resilience of hospitals in an age of disruptions: a systematic literature review on resources and capabilities

Hospitals play a critical role in ensuring continuous and effective healthcare delivery, especially during crises. However, the COVID-19 pandemic exposed vulnerabilities in hospital systems, prompting a need to enhance resilience-the ability to withstand, absorb, respond to, recover from, and learn from disasters. A systematic literature review, grounded in the resource-based view, identified organizational characteristics, in terms of resources and capabilities, and their synergistic effects that bolster hospital resilience. The results demonstrate that digital technologies impact on anticipation and adaptation abilities, organizational capabilities to reorganize roles, tasks, and spaces enhance adaptability, and Inter-organizational collaborations increase the responsiveness of the hospitals. The study provides substantial theoretical and practical contributions. It expands knowledge of hospital resilience in light of recent disruptive events and promotes integration capabilities as determinants for the majority of resilience dimensions. All organisational and inter-organisational collaboration, cooperation, and coordination are deemed crucial for hospital resilience.

Consumer and provider perceptions of the specialist unit model of care: A qualitative study

BACKGROUND

Specialist care units cater to targeted cohorts of patients, applying evidence-based practice to people with a specific condition (e.g., dementia) or meeting other specific criteria (e.g., children). This paper aimed to collate perceptions of local consumers and health providers around specialist care units, as a model of care that may be considered for a new local healthcare facility.

METHODS

This was a qualitative study using two-hour workshops and interviews to collect data. Participants were consumers and health providers in the planned facility's catchment: 49 suburbs in metropolitan Australia. Consumers and health providers were recruited through advertisements and emails. An initial survey collected demographic details. Consumers and health providers participated in separate two-hour workshops in which a scenario around the specialist unit model was presented and discussion on benefits, barriers and enablers of the model was led by researchers. Detailed notes were taken for analysis.

RESULTS

Five consumer workshops (n = 22 participants) and five health provider workshops (n = 42) were conducted. Participants were representative of this culturally diverse region. Factors identified by participants as relevant to the specialist unit model of care included: accessibility; a perceived narrow scope of practice; coordination with other services; resources and infrastructure; and awareness and expectations of the units. Some factors identified as risks or barriers when absent were identified as strengths and enablers when present by both groups of participants.

CONCLUSIONS

Positive views of the model centred on the higher perceived quality of care received in the units. Negative views centred on a perceived narrow scope of care and lack of flexibility. Consumers hinted, and providers stated explicitly, that the model needed to be complemented by an integrated model of care model to enable continuity of care and easy transfer of patients into and out of the specialist unit.

Going paperless - Qualitative monitoring of staff morale during the transition from paper to electronic health records

Background

Organisational change is an important part of development and growth. Transitioning from paper-based hospital records to electronic health records improves efficiency and patient safety by streamlining data access and reducing the risk of errors, ultimately leading to enhanced patient care and outcomes. In October 2020, a large NHS trust underwent the transition from paper notes to a fully electronic health records system. Therefore, the purpose of this study was to monitor staff morale during this organisational change; to highlight any issues arising that may impact on the smooth transition; to encourage feedback.

Methods

A questionnaire was distributed to all members of the maxillofacial outpatients department on a regular basis. The qualitative responses were analysed using NVivo, following a framework analysis model.

Results

The analysis generated 1319 codes, which were placed into 68 groups. The three main themes were 'Transformational Advancements in Healthcare Delivery'; 'Obstacles to Seamless EHR Integration; 'Navigating the Transition and Evolving Perceptions'.

Discussion

Regular monitoring of morale and staff opinion allows for smoother transition in a large-scale organisational change. The results of this project will help future hospitals and trusts undergoing similar transitions.

Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence

With the increasing demand for hospital services amidst the COVID-19 pandemic, allocation of limited public resources and management of healthcare services are of paramount importance. In the field of patient flow scheduling, previous research primarily focused on classical-based objective functions, while ignoring environmental-based objective functions. This study presents a flexible job shop scheduling problem to optimize patient flow and, thereby, minimize the total carbon footprint, as the sustainability-based objective function. Since flexible job shop scheduling is an NP-hard problem, a metaheuristic optimization algorithm, called Chaotic Salp Swarm Algorithm Enhanced with Opposition-Based Learning and Sine Cosine (CSSAOS), was developed. The proposed algorithm integrates the Salp Swarm Algorithm (SSA) with chaotic maps to update the position of followers, the sine cosine algorithm to update the leader position, and opposition-based learning for a better exploration of the search space. generating more accurate solutions. The proposed method was successfully applied in a real-world case study and demonstrated better performance than other well-known metaheuristic algorithms, including differential evolution, genetic algorithm, grasshopper optimization algorithm, SSA based on opposition-based learning, quantum evolutionary SSA, and whale optimization algorithm. In addition, it was found that the proposed method is scalable to different sizes and complexities.

Achieving rapid and significant results in healthcare services by using the theory of constraints

Lack of timeliness and capacity are seen as fundamental problems that jeopardise healthcare delivery systems everywhere. Many believe the shortage of medical providers is causing this timeliness problem. This action research presents how one doctor implemented the theory of constraints (TOC) to improve the throughput (quantity of patients treated) of his ophthalmology imaging practice by 64% in a few weeks with little to no expense. The five focusing steps (5FS) guided the TOC implementation - which included the drum-buffer-rope scheduling and buffer management - and occurred in a matter of days. The implementation provided significant bottom-line results almost immediately. This article explains each step of the 5FS in general terms followed by specific applications to healthcare services, as well as the detailed use in this action research. Although TOC successfully addressed the practice problems, this implementation was not sustained after the TOC champion left the organisation. However, this drawback provided valuable knowledge. The article provides insightful knowledge to help readers implement TOC in their environments to provide immediate and significant results at little to no expense.

Staff pooling in healthcare systems - results from a mixed-methods study

This study examines how staff pooling can be used to create a higher service level at a predetermined total capacity in the healthcare sector. We develop new empirical knowledge through a systematic empirical study, using a mixed-methods approach, with a preliminary interview study followed by a principal quantitative survey study, with data from a multihospital system. The purpose was to explore practical barriers for a staff pooling strategy in healthcare systems. Three barriers were identified:recruitment difficulties, community view, and specialisation. Significant differences in perceived height among these barriers were found. The results from this study have important managerial implications for healthcare systems when implementing a staff pooling approach. This study contributes to the existing literature since, to the best of our knowledge, no previous research has been done where barriers to staff pools are systematically identified using a holistic approach that includes all healthcare professions in a multihospital system.

Strategic planning of operating room session allocation using stability analysis

Operating room (OR) resources are limited, and for this reason there is usually a competition among surgeons to win them. However, the methods developed for allocating OR sessions are mostly based on optimisation methods which compensate the preferences of surgeons or surgical specialities in favour of the productivity of the entire OR department. This leads to conflict and dissatisfaction among surgeons. To overcome this problem, a methodology based on game theoretic solutions is presented in this paper that formulates the allocation problem as a simple game. The surgeons or specialities as players then jointly pursue the goal of achieving overall stability. Stability is defined and measured using a method called Power Index. The proposed method is then combined with the Monte-Carlo technique to deal with uncertainties. To demonstrate the capability of the suggested procedures, they are applied to a case study from the literature and a set of hypothetical scenarios.

Identifying and Addressing the Underlying Core Problems in Healthcare Environments: An Illustration Using an Emergency Department Game

The emergency department (ED) crowding is a critical healthcare issue worldwide that leads to long waits and poorer healthcare outcomes. Goldratt's theory of constraints (TOC) has been used effectively to improve such problematic environments for more than three decades. While most TOC solutions are simple, with many viewing them as purely common sense, they represent paradigm shifts in how to manage complex, uncertain, and silo environments. Goldratt used a simple dice game with a straight flow (I-shape) to illustrate the impact of dependent resources and statistical fluctuations in managing resources. Additionally, games help to overcome resistance to change and gain ownership by having participants develop their solutions. This new cooperative game illustrates an ED environment where patients may follow different care pathways according to their clinical needs, timeliness of care is measured in minutes, the demand is highly uncertain, and treatment must frequently start almost immediately. A Monte Carlo simulation validated the TOC solution to this ED game, achieving results similar to the real TOC's implementations. Moreover, this article provides a thorough process to Socratically introduce TOC to healthcare professionals and others to recognize that the EDs' (like other healthcare systems') core problem is the traditional approach to managing them.