Technical efficiency analysis of advanced medical centers in Burkina Faso.

INTRODUCTION: Burkina Faso faces many challenges in the health domain, with no real opportunity for an increase in public health expenditures. In Burkina Faso, as in all low-income countries, health spending efficiency is crucial. The objective of this paper is to assess the efficiency of Advanced Medical Centers (AMCs)-which correspond to district hospitals-in Burkina Faso over the 2017-2020 period and identify the factors that promote-or, on the contrary, limit-the efficiency of these health structures. METHOD: We first assessed the efficiency level of the 45 AMCs running in the country between 2017 and 2020 using a bootstrap Data Envelopment Analysis (DEA) methodology. Inputs include the number of doctors, nurses, other medical staff, non-medical staff, and beds, while output variables correspond to the number of inpatients, surgeries, outpatients, and inpatient days. In a second step, determinants of AMC's efficiency levels were explored using a double-bootstrap procedure. The roles of AMCs' internal and environmental factors were both considered. RESULTS: We found a mean efficiency score of 0.51 over the study period, indicating that AMCs could have almost doubled their healthcare production without needing additional resources. The size, education level, and health status of the covered population and the density of the healthcare supply in the district appeared to be the driving factors of AMCs' efficiency. CONCLUSION: Our results indicate that improving the efficiency of AMCs should be a high-level priority for the Burkinabe health policy. Resources could be reallocated across AMCs to increase the overall efficiency of the health system.

How to Run a Cost-Effective Operating Room: Opportunities for Efficiency and Cost-Savings.

US health care spending is growing at an unsustainable rate. Since physicians control or influence the majority of spending, it is our responsibility to try and control costs. As surgeons we need to learn and consider the cost of implants and supplies and factor them into our treatment decisions to ensure we are providing value for our patients. Although the burden is on us to become more cost conscious, we should never do it at the expense of quality of patient care.

How to Run an Academic Department.

Customarily, academic chairs have embodied the triple role of excellence in clinical work,education and research. With the rapid changes in healthcare, it has become clear that surgical expertise and academic achievements do not necessarily translate into leadership greatness. Currently to successfully run an academic department the chairperson must also be an experienced manager, with an understanding of business administration, financial restrictions, productivity goals, and medical ethics. A successful chair needs to be able to balance variable tasks and diverse people, and be proficient in managing uncertainty and change. In this review we summarize the clinical, academic and administrative challenges associated with running an academic department.

Improving laboratory turnaround times in clinical settings: A systematic review of the impact of lean methodology application.

BACKGROUND: Lean methodology, originally developed in the manufacturing sector, is a process management philosophy focused on maximizing value by eliminating waste. Its application in laboratory settings, particularly concerning laboratory turnaround times (TAT), involves a systematic approach to identifying inefficiencies and optimizing processes to enhance value for end customers. METHODS: This systematic review was registered in PROSPERO with identification number (CRD42024552350) and reported based on the 2020 PRISMA checklist. An extensive search strategy was performed using PubMed, Scopus, and Embase databases and gray literatures. Advanced searching was used using Boolean operators (AND & OR). After articles were exported to endnote x8, duplications were removed and articles were selected based on titles, abstracts, and full texts. The illegibility of the articles was independently assessed by the three authors (NC, DMB, and BBT), and the disagreements were settled through scientific consensus. Methodological quality was assessed using JBI critical appraisal checklist. DISCUSSION: In this review, electronic databases search yielded 1261 articles, of which 7 met the inclusion criteria. The review demonstrated, implementation of lean principle into the routine laboratory testing had an overall impact 76.1% on reducing laboratory TAT. Transportation, manual data processing, inefficient workflow, and the heavy workload were identified as the main wasteful procedures. To eliminate these non-value-added steps, several intervention techniques were implemented, including the use of a barcoding system, process redesign, workflow optimization, hiring additional staff, and relocating the sample collection room closer to the result distribution center. Lean implementation is crucial in the medical laboratory industry for optimizing processes, reducing TAT, and ultimately enhancing customer satisfaction. As a result, all clinical laboratories should adopt and implement lean principles in their routine testing processes. The medical laboratory industry should also proactively look for and apply lean tools, provide ongoing training, and foster awareness among laboratory staffs.

Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times.

OBJECTIVE: Overcrowding and extended waiting times in emergency departments are a pervasive issue, leading to patient dissatisfaction. This study aims to compare the efficacy of two process mining and simulation models in identifying bottlenecks and optimizing patient flow in the emergency department of Al-Zahra Hospital in Isfahan. The ultimate goal is to reduce patient waiting times and alleviate population density, ultimately enhancing the overall patient experience. METHODS: This study employed a descriptive, applied, cross-sectional, and retrospective design. The study population consisted of 39,264 individuals referred to Al-Zahra Hospital, with a sample size of at least 1,275 participants, selected using systematic random sampling at a confidence level of 99%. Data were collected through a questionnaire and the Hospital Information System (HIS). Statistical analysis was conducted using Excel software, with a focus on time-averaged data. Two methods of simulation and process mining were utilized to analyze the data. First, the model was run 1000 times using ARENA software, with simulation techniques. In the second step, the emergency process model was discovered using process mining techniques through Access software, and statistical analysis was performed on the event log. The relationships between the data were identified, and the discovered model was analyzed using the Fuzzy Miner algorithm and Disco tool. Finally, the results of the two models were compared, and proposed scenarios to reduce patient waiting times were examined using simulation techniques. RESULTS: The analysis of the current emergency process at Al-Zahra Hospital revealed that the major bottlenecks in the process are related to waiting times, inefficient implementation of doctor's orders, delays in recording patient test results, and congestion at the discharge station. Notably, the process mining exercise corroborated the findings from the simulation, providing a comprehensive understanding of the inefficiencies in the emergency process. Next, 34 potential solutions were proposed to reduce waiting times and alleviate these bottlenecks. These solutions were simulated using Arena software, allowing for a comprehensive evaluation of their effectiveness. The results were then compared to identify the most promising strategies for improving the emergency process. CONCLUSION: In conclusion, the results of this research demonstrate the effectiveness of using simulation techniques and process mining in making informed, data-driven decisions that align with available resources and conditions. By leveraging these tools, unnecessary waste and additional expenses can be significantly reduced. The comparative analysis of the 34 proposed scenarios revealed that two solutions stood out as the most effective in improving the emergency process. Scenario 19, which involves dedicating two personnel to jointly referring patients to the ward, and scenario 34, which creates a dedicated discharge hall, have the potential to create a more favorable situation.

Enhancing healthcare operations: a systematic literature review on approaches for hospital facility layout planning.

PURPOSE: The appropriate physical layout of hospital services can help resolve management problems by streamlining the work of medical teams, improving the flow of patients between specific areas and the medical support environment. Nevertheless, the academic literature lacks structured research into how the physical layout of hospitals might be improved. Our study aims to fill this research gap, providing information for researchers and professionals who intend to guide the hospital facility layout planning (HFLP) from the steps and prescribed approaches found in the literature. DESIGN/METHODOLOGY/APPROACH: This study analyzes the current literature status and concerning approaches that support HFLP and identifies their strengths and weaknesses. The literature was classified using the following criteria: approaches for layout generation, approaches for layout evaluation and healthcare facility layout outcomes. FINDINGS: The hospital facility layout outcomes achieved for each phase served as a basis for identifying a list of strengths and weaknesses for the hospital layout facility generation and evaluation approaches. Readers can refer to this paper to identify the approach that best fits the desired goal and the HFLP step. PRACTICAL IMPLICATIONS: This is a contribution to current studies into HFLP, and it provides guidelines for selecting the approach to be utilized based on the desired outcome. ORIGINALITY/VALUE: The paper describes how to conduct an HFLP and lists the strengths and weaknesses of each approach. The research may be used as a strategy for determining which tool is most suited based on the practitioner's target purpose.

Rethinking patient flows in a changing healthcare system: a unified approach.

Introduction: The management of chronic diseases poses a challenge to the National Health Service (NHS), but it can also offer an opportunity for a radical renovation of healthcare provision. To improve the appropriateness of healthcare settings, it is essential to adopt integrated approach in all healthcare settings. Methods: This study was conducted at San Giovanni Bosco Hospital, in the area of the "Città di Torino" Local Health Authority, between June 2021 and December 2022. Its main goal was to manage hospital patient flows in an integrated manner in order to improve the efficiency of the entire healthcare system. The data were examined in terms of effectiveness in optimizing hospital flows. Results: The data indicated that hospital outpatient activities can become more specialized by leveraging the greater technological potential that a hospital possesses. At San Giovanni Bosco Hospital, the hub of the "Città di Torino" Local Health Authority (ASL), differential patient pathways were established in order to enhance the efficiency of the entire system by deploying hospital staff in a community setting. Implementation of the Otorhinolaryngology pathway avoided the hospitalization of 249 patients, who would otherwise have added strain to the overall organization of the hub hospital, which is currently short of space. Conclusions: A significant effort is needed in order to build an integrated network that provides patients with reliable and stable references. The approach adopted at San Giovanni Bosco Hospital resulted in an improvement in the use of both hospital and territorial facilities.

Resource allocation efficiency in 68 county-level traditional Chinese medicine hospitals in China: a data envelopment analysis.

OBJECTIVE: Analysing and evaluating how efficiently health resources are allocated to county-level Traditional Chinese Medicine (TCM) hospitals in Zhejiang Province, this study aims to provide empirical evidence for improving operational efficiency and optimising resource allocation in these hospitals. DESIGN AND SETTING: The study employed a three-stage Data Envelopment Analysis (DEA) model to assess efficiency, using data from 68 county-level TCM hospitals. Four input and five output variables related to TCM services were selected for the analysis. RESULTS: The first-stage DEA results indicated that in 2022, the technical efficiency (TE) of TCM hospitals in Zhejiang Province was 0.788, the pure technical efficiency (PTE) was 0.876 and the scale efficiency (SE) was 0.903. The classification of hospitals into four groups based on the bed size showed statistically significant differences in returns to scale (p<0.001). The Stochastic Frontier Analysis regression results were significant at the 1% level across four regressions, showing that environmental variables such as per capita GDP, population density and the number of hospitals impacted efficiency. In the third stage DEA, after adjusting the input variables, the TE, PTE and SE improved to 0.809, 0.833 and 0.917, respectively. The adjusted mean TE rankings by region were West (0.860) > East (0.844) > South (0.805) > North (0.796) > Central (0.731). CONCLUSION: There is an imbalance between the inputs and outputs of county-level TCM hospitals. Each region must consider factors such as the local economy, population and medical service levels, along with the specific development characteristics of hospitals, to reasonably determine the scale of county-level TCM hospital construction. Emphasis should be placed on improving hospital management and technical capabilities, coordinating regional development, promoting the rational allocation and efficient use of TCM resources and enhancing the efficiency of resource allocation in county-level TCM hospitals.

Health & Productivity Management Associated With Improved Efficiency of Inpatient Health Care: Cross-sectional Study Using FY2021 Bed Function Report.

This study examined the relationship between health and productivity management (H&PM) and inpatient health care efficiency in hospitals. This cross-sectional study is based on 1108 hospitals using data from the FY2021 Bed Function Report. The presence of Certified H&PM Organization was the proxy variable for H&PM implementation. The efficiency value obtained using the input-oriented Banker-Charners-Cooper model of data envelopment analysis was a proxy variable for inpatient health care efficiency. The input variables were the number of hospital beds, registered physicians, ward nurses, and other staff members in the ward. The output variable was the total number of patients in the ward per year. We conducted a Wilcoxon rank-sum test and compared certified and non-certified hospitals. The efficiency value was the objective variable, and certification presence was the explanatory variable. We used a stepwise method, including adjustment variables, to confirm whether the certification presence remained in the final multiple regression model. Efficiency was significantly higher in certified hospitals than non-certified hospitals. Certification presence remained in the final multiple regression model (ß = .027, CI = -0.004 to 0.057, P = .085). Although not statistically significant, certified hospitals tended to have higher efficiency compared to non-certified hospitals. These findings suggested that hospitals that actively engage in H&PM may have higher efficiency in inpatient health care. However, further research is needed to establish the causal relationship.

The mediation of the dynamic capacity for innovation between managerial skills and organizational performance in MSMEs located in the department of Caquetá, Colombia.

OBJECTIVES: The purpose of this study is to analyze how the dynamic capacity for innovation mediates the relationship between the managerial skills and organizational performance of micro, small and medium-sized enterprises (MSMEs) located in the department of Caquetá. METHODS: The hypotheses are statistically tested via structural equation modeling (SEM), where the dynamic capacity for innovation mediates the relationship between the managerial skills and organizational performance of MSMEs located in the department of Caquetá, with a cross-sectional sample of 496 MSMEs. RESULTS: The results indicate that the relationship between managerial skills and organizational performance is mediated by the dynamic capacity for innovation of the MSMEs of the department of Caquetá, Colombia. In addition, the robust adjustment values obtained for this model are an RMSEA of 0.044 and a CFI of 0.862. Both values meet the requirements to conclude that the model has a good fit and is therefore reliable. CONCLUSIONS: This study shows that managers, administrators or legal representatives use the constructs presented in this publication. In addition, it is shown that the dynamic capacity for innovation mediates the relationship between managerial skills and the organizational performance of MSMEs located in the department of Caquetá, Colombia.

The relationship between self-efficacy and sustainable Lean management systems within the healthcare arena.

PURPOSE: The purpose of this paper is to improve the understanding of the social contexts of sustainable Lean culture in healthcare by examining self-efficacy (SE) as a fundamental construct related to the value of perceived readiness, prior education of Lean and the importance of leadership's system-level support. DESIGN/METHODOLOGY/APPROACH: A descriptive correlational study was conducted to identify the relationships between SE and Lean readiness factors, SE and prior Lean training, SE and clinical vs administrative roles and SE and perceived system-level support in a large health system. FINDINGS: There was a statistically significant difference in self-reported readiness to use Lean tools between individuals who had received Lean training during their academic education and those who had not; however, their level of education did not impact SE. Lastly, and perhaps most important, the learner who embodies SE also has system-level support. RESEARCH LIMITATIONS/IMPLICATIONS: Future directions of this research, in addition to assessing team readiness as other studies suggest, would be to evaluate individual team member readiness by gauging SE and addressing deficits prior to the deployment of process improvement (PI) projects to promote success and sustainability. PRACTICAL IMPLICATIONS: This contributes to the ongoing scholarship of Lean management systems, providing clinical and non-clinical leaders with a contextual understanding of their supportive role in the SE of teams. ORIGINALITY/VALUE: This study demonstrates the value of understanding SE of individual team members and how it can contribute to overall improved team outcomes, directly impacting the sustainability of Lean change culture and its promotion of improved patient safety, cost efficiencies and access to care.

Intersectional equity in Brazil's remote rural municipalities: the road to efficiency and effectiveness in local health systems.

Objective: The Brazilian remote rurality has been classified more reliably only recently, according to demographic density, proportion of urban population, and accessibility to urban centers. It comprises 5.8% of the municipalities, in nearly half of the states, with a population of 3,524,597 (1.85%). Remote rural localities (RRL) have reduced political/economic power, facing greater distances and barriers. Most health strategies are developed with the urban space in mind. We aim to understand how RRL are positioned concerning efficiency/effectiveness in health, compared to other urban-rural typologies of Brazilian localities, focusing on Primary Health Care (PHC), and its organizational models. Methods: We evaluated the efficiency and effectiveness of the organizational models using the health production model, from 2010-2019, gradually deepening the immersion into the RRL reality. We analyzed the human and financial resources dimensions, emphasizing teams, the results of PHC actions, and health levels. We used the fixed effects model and data envelopment analysis, cross-sectioned by intersectional inequities. We compared the Brazilian states with and without RRL, Brazilian municipalities according to rural-urban typologies, and RRL clusters. Results: Brazilian RRL states show superior resource/health efficiency through services utilization according to health needs. The remote rural typology demonstrated greater efficiency and effectiveness in health than the other typologies in the RRL states. The organizational models with the Family Health Strategy (FHS) teams and the Community Health Worker (CHW) visits played a key role, together with local per capita health expenditures and intergovernmental transfers. Thus, financial resources and health professionals are essential to achieve efficient/effective results in health services. Among the RRL, the Amazon region clusters stand out, denoting the importance of riverine and fluvial health teams, the proportion of diagnostic/treatment units in addition to the proportion of illiteracy and adolescent mothers along with the inequity of reaching high levels of schooling between gender/ethnicity. Conclusion: Hopefully, these elements might contribute to gains in efficiency and effectiveness, prioritizing the allocation of financial/human resources, mobile FHS teams, availability of local diagnosis/treatment, and basic sanitation. Finally, one should aim for equity of gender/ethnicity in income and education and, above all, of place, perceived in its entirety.

Reduced Time to Admit Emergency Department Patients to Inpatient Beds Using Outflow Barrier Analysis and Process Improvement.

Objective: Because admitted emergency department (ED) patients waiting for an inpatient bed contribute to dangerous ED crowding, we conducted a patient flow investigation to discover and solve outflow delays. After solution implementation, we measured whether the time admitted ED patients waited to leave the ED was reduced. Methods: In June 2022, a team using Lean Healthcare methodologies identified flow delays and underlying barriers in a Midwest, mid-sized hospital. We calculated barriers' magnitudes of burden by the frequency of involvement in delays. During October-December 2022, solutions targeting barriers were implemented. In October 2023, we tested whether waiting time, defined as daily median time in minutes from admission disposition to departure (ADtoD), declined by conducting independent sample, single-tailed t-test comparing pre- to post-intervention time periods, January 1-September 30, 2022 (273 days) to January 1-September 30, 2023 (273 days). Additionally, we regressed ADtoD onto pre-/post period while controlling for ED volume (total daily admissions and ED daily encounters) and hospital occupancy. A run chart analysis of monthly median ADtoD assessed improvement sustainability. Results: Process mapping revealed that three departments (ED, environmental services [EVS], and transport services) co-produced the outflow of admitted ED patients wherein 18 delays were identified. The EVS-clinical care collaboration failures explained 61% (11/18) of delays. Technology contributed to 78% (14/18) of delays primarily because staff's technology did not display needed information, a condition we coined "digital blindness." Comparing pre- and post-intervention days (3,144 patients admitted pre-intervention and 3,256 patients post), the median minutes a patient waited (ADtoD) significantly decreased (96.4 to 87.1 minutes, P = 0.04), even while daily ED encounter volume significantly increased (110.7 to 117.3 encounters per day, P < 0.001). After controlling in regression for other factors associated with waiting, the intervention reduced ADtoD by 12.7 minutes per patient (standard error 5.10, P = 0.01; 95% confidence interval -22.7, -2.7). We estimate that the intervention translated to ED staff avoiding 689 hours of admitted patient boarding over nine months (ADtoD coefficient [-12.7 minutes] multiplied by post-intervention ED admissions [3,256] and divided by 60). Run chart analysis substantiated the intervention's sustainability over nine months. Conclusion: After systemwide patient flow investigation, solutions resolving digital blindness and environmental services-clinical care collaboration failures significantly reduced ED admitted patient boarding.

Impact of Medical Trainees on Efficiency and Productivity in the Emergency Department: Systematic Review and Narrative Synthesis.

Introduction: Effective medical education must balance clinical service demands for institutions and learning needs of trainees. The question of whether these are competing demands or can serve complementary roles has profound impacts on graduate medical education, ranging from funding decisions to the willingness of community-based hospitals and physicians to include learners at their clinical sites. Our objective in this article was to systematically review the evidence on the impact of medical trainees on productivity and efficiency in the emergency department (ED). Methods: We queried PubMed, Embase, Scopus, and Web of Science from earliest available dates to March 2023. We identified all studies evaluating the impact of medical students and/or residents in the ED on commonly used productivity and efficiency metrics. Only studies in EDs in the United States were included. No additional filters were used. We assessed the risk of bias of included studies using the Risk of Bias in Non-randomized Studies - of Interventions (ROBINS-I) tool. Certainty of evidence was rated using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. Study findings were combined in a narrative synthesis and reported according to PRISMA guidelines. Results: The literature search yielded 3,390 unique articles for abstract screening. Eighty-one abstracts were identified as relevant to our PICO question (population, intervention, control, and outcomes), 76 of which had retrievable full-text articles and the themes of which were discussed in a narrative synthesis. We selected 13 of the full-text articles for final inclusion in a systematic review. Studies were roughly split between observational (6) and quasi-experimental (7) designs. The majority of studies (11) were single-site studies. Only two studies could be graded as low risk of bias per the ROBINS-I tool. Conclusion: Low-GRADE evidence suggests that students and residents decrease ED efficiency by a statistically small effect size of debatable clinical importance. Residents provide a moderate boost to ED productivity. Students do not produce a statistically or clinically significant impact on ED productivity. Residents increase emergency department relative value units revenue by $26.30 an hour, while students have no impact. Both types of learners decrease efficiency.

Do Midnight Censuses Accurately Portray Hospital Bed Occupancy?

Hospital bed occupancy serves as an important indicator of healthcare system efficiency, directly impacting patient care quality and staff workload. This study delves into the efficacy of midnight census, a conventional method for assessing bed occupancy, in supporting hospital operational planning. Historically, the midnight census has been utilised to gauge bed occupancy; however, its reliability is debated due to fluctuations throughout the day. This paper presents an analysis of 5.5 years of patient flow data from one of the hospitals in Queensland, Australia, scrutinising the statistical associations between different occupancy levels, e.g., midnight, peak, average, and minimum. The findings shed light on the efficacy of the midnight census and suggest the adoption of an hourly-based occupancy rate for more accurate capacity planning and management.

Measurement of Technical Efficiency of the Health-care Sector in Assam: An Application of Nonparametric Method.

SUMMARY: The study has used a nonparametric method to estimate the technical efficiency of health-care sector in the substate level of Assam. The study is based on secondary data for the year 2018-2019. The average constant return to scale technical efficiency score is 0.81, while the average efficiency scores in variable return to scale technical efficiency and scale efficiency (SE) are 0.88 and 0.92 respectively. Moreover, seven (26%) districts are technically efficient. The major cause of inefficiency is the poor management of health-care sector. Four (15%) districts Chirang, Dima Hasao, Baksa, and Udalguri have achieved least efficiency score, while five (19%) districts Kamrup (Rural), Sivasagar, Dibrugarh, Lakhimpur, and Goalpara have the highest potentiality to achieve efficiency level. The study is static in nature. However, it will help the health policymakers to improve management and size of operation of health sector in the state.

Assessing the efficiency of China's national fitness public services: a super-efficiency DEA-Malmquist-Tobit approach.

Introduction: As the Chinese government places an increasing emphasis on public fitness services, there has been a concomitant growth in public demand for greater fiscal expenditure in this area. However, in light of the constrained growth in government financial resources, it is of paramount importance to allocate these resources in a rational manner in order to effectively address the public's fitness and health needs. This study aims to evaluate the efficiency of public expenditure on national fitness services across China, thereby providing valuable insights for policymakers to optimize resource allocation and improve service efficiency. Methods: The study employs a super-efficiency Data Envelopment Analysis (DEA) model, in conjunction with the Malmquist Index and Tobit regression model, to assess the efficiency of fiscal spending on fitness services in 31 Chinese provinces from 2017 to 2020. The analysis employs both static and dynamic approaches to present an objective view of the development of public fitness service levels across different regions and to empirically identify the key factors influencing fiscal spending efficiency. Results: The findings indicate substantial regional variations in the efficiency of fiscal expenditure on public fitness services. While some provinces demonstrate high efficiency in the use of public funds, others exhibit notable inefficiencies, particularly in areas with lower levels of economic development and population density. The findings underscore the existence of redundant expenditure and the varying effectiveness of resource utilization across provinces. Discussion: The study recommends that future strategies prioritize the scientific planning of fiscal inputs into public fitness services, the precise optimization of expenditure structures, the exploration of collaborative supply mechanisms, the expansion of demand-driven feedback channels, the integration of technological innovations, and the acceleration of digitalization in public fitness services.

Criteria-based outpatient scheduling at a nephrology clinic: prospective evaluation of patient pre-assessment and its corresponding adaptive scheduling strategy.

BACKGROUND: Outpatient Clinics (OCs) are under pressure because of increasing patient volumes and provider shortages. At the same time, many patients with chronic diseases receive routine follow-up consultations that are not always necessary. These patients block access to care for patients that are in actual need for care. Pre-assessing patient charts has shown to reduce unnecessary outpatient visits. However, the resulting late cancellations due to the pre-assessment, challenge efficient alignment of capacity with actual patient demand, leading to either empty slots or overtime. This study aims to develop a method to analyse the effect of pre-assessing patients before inviting them to the OC. This involves 1) to select who should come and 2) to optimize the impact of pre-assessment on the schedule and efficient use of OC staff. METHODS: This prospective mixed-methods evaluation study consists of 1) an expert meeting to determine a pre-assessment strategy; 2) a retrospective cohort study to review the impact of this strategy (12 months of a Dutch nephrology OC); 3) mathematical optimization to develop an optimal criteria-based scheduling strategy; and 4) a computer simulation to evaluate the developed strategy. Primary outcomes are the staff idle time and staff overtime. Secondary outcomes evaluate the number of weekly offered appointments. RESULTS: The expert group reached consensus about the pre-assessment criteria. 875 (18%) of the realized appointments in 2022 did not meet the OC visit pre-assessment criteria. In the best performing scheduling strategy, 94 slots (87% of the available capacity) should be scheduled on a weekly basis. For this schedule, 26.8% of the OC weeks will experience idle time ( µ =2.51, σ =1.44 appointment slots), and 21% of the OC weeks will experience overtime ( µ =2.26, σ =1.65 appointment slots) due to the variation in patient appointment requests. Using the pre-assessment strategy combined with the best performing scheduling strategy under full capacity (108 slots), up to 20% increase in patient demand can be handled with equal operational performance. CONCLUSIONS: This evaluation study allows OC managers to virtually test operational impact of pre-assessment strategies on the capacity of their OC, and shows the potential of increasing efficient use of scarce healthcare capacity. TRIAL REGISTRATION: Not applicable.

Toward a roadmap for sustainable lean adoption in hospitals: a Delphi study.

BACKGROUND: The benefits of lean adoption in healthcare include improved process efficiency and quality of patient care. However, research indicates that lean implementation in healthcare, and specifically hospitals, is often not sustained. Furthermore, there is a need for maturity models that guide lean implementation, specifically in hospitals. This study develops a prescriptive maturity model named the Sustaining of Lean Adoption in Hospitals Roadmap (SOLAR) that acts as a practical guideline for the sustainable adoption of lean in hospitals. METHODS: The SOLAR has three theoretical foundations, namely lean implementation success factors in hospitals, implementation science, and change management theory. A systematic literature review was conducted to determine the lean implementation success factors in hospitals as the first building block. Secondly, practices from implementation science were used to create the action items in the SOLAR. Ten change steps were elicited from change management theory as the third theoretical building block of the roadmap. We refined the roadmap through three Delphi rounds that verified its useability in hospitals. RESULTS: The final SOLAR consists of four maturity phases (prepare, plan, experiment and learn, and sustain) and includes action items for each phase related to the hospital's strategy, resources, engaging of people, and culture. The action items and change management steps shown in the SOLAR are not intended as an exhaustive list but provide guidelines on aspects hospitals must consider when they aim to adopt lean sustainably. CONCLUSIONS: The strong theoretical base of the SOLAR enables hospitals to safely experiment and learn which implementation methods are best suited to their unique environment. The SOLAR is, therefore, an actionable guideline that informs both academics and practitioners involved in lean adoption in hospitals. This roadmap can guide future retrospective longitudinal or action research.