A Study on Decision-Making for Improving Service Efficiency in Hospitals

The provision of efficient healthcare services is essential, driven by the increasing demand for healthcare resources and the need to optimize hospital operations. In this context, the motivation to innovate and improve services while addressing urgent concerns is critical. Hospitals face challenges in managing internal dispatch services efficiently. Outsourcing such services can alleviate the burden on hospital staff, reduce costs, and introduce professional expertise. However, the pressing motivation lies in enhancing service quality, minimizing costs, and exploring innovative approaches. With the rising demand for healthcare services, there is an immediate need to streamline hospital operations. Delays in internal transportation services can have far-reaching implications for patient care, necessitating a prompt and effective solution. Drawing upon dispatch data from a healthcare center in Taiwan, this study constructed a decision-making model to optimize the allocation of hospital service resources. Employing simulation techniques, we closely examine how hospital services are currently organized and how they work. In our research, we utilized dispatch data gathered from a healthcare center in Taichung, Taiwan, spanning from January 2020 to December 2020. Our findings underscore the potential of an intelligent dispatch strategy combined with deployment restricted to the nearest available workers. Our study demonstrates that for cases requiring urgent attention, delay rates that previously ranged from 5% to 34% can be notably reduced to a much-improved 3% to 18%. However, it is important to recognize that the realm of worker dispatch remains subject to a multifaceted array of influencing factors. It becomes evident that a comprehensive dispatching mechanism must be established as part of a broader drive to enhance the efficiency of hospital service operations.

Sustainability of an intervention to reduce waiting for access to an epilepsy outpatient clinic

Purpose

Delays in outpatient specialist neurologist care for people with epilepsy are common despite recommendations for prompt access. There is evidence to suggest that there are interventions that can minimise waitlists and waiting time. However, little is known about whether such interventions can result in sustained improvements in waiting. The aim of this study was to determine the extent to which an intervention to reduce waiting in an epilepsy specialist outpatient clinic demonstrated sustained outcomes two years after the intervention was implemented.

Methods

This observational study analysed routinely collected epilepsy clinic data over three study periods: pre-intervention, post-intervention and at two-year follow-up. The intervention, Specific Timely Assessment and Triage (STAT), combined a short-term backlog reduction strategy and creation of protected appointments for new referrals based on analysis of demand. After the initial intervention, there was no further active intervention in the following two years. The primary outcome was waiting measured by 1.) waiting time for access to a clinic appointment, defined as the number of days between referral and first appointment for all patients referred to the epilepsy clinic during the three study periods; and 2.) a snapshot of the number of patients on the waitlist at two time points for each of the three study periods.

Results

Two years after implementing the STAT model in an epilepsy clinic, median waiting time from post-intervention to two-year follow-up was stable (52-51 days) and the interquartile range of days waited reduced from 37 to 77 days post-intervention to 45-57 days at two-year follow-up, with a reduction in the most lengthy wait times observed. After a dramatic reduction of the total number of patients on the waitlist immediately following the intervention, a small rise was seen at two years (n = 69) which remained well below the pre-intervention level (n = 582).

Conclusion

The STAT model is a promising intervention for reducing waiting in an epilepsy clinic. While there was a small increase in the waitlist after two years, the median waiting time was sustained.

An evidence-based demand management strategy using a hub and spoke training model reduces waiting time for children's therapy services: An implementation trial

BACKGROUND

Waiting lists for community-based paediatric therapy services are common and lead to poorer health outcomes, anxiety and missed opportunities for treatment during crucial developmental stages. The Specific Timely Appointments for Triage (STAT) model has been shown to reduce waiting lists in a range of health settings.

AIMS

To determine whether providing training and support in the STAT model to champions within five community health centres using a remote 'hub and spoke' approach could reduce waiting time from referral to first appointment.

METHODS

Representatives from five community health centres providing paediatric therapy services (speech therapy, occupational therapy and other allied health services) participated in five online workshops over 6 months. They were guided sequentially through the steps of the STAT model: understanding supply and demand, reducing backlogs, preserving space for new patients based on demand and redesigning models of care to maintain flow. Waiting time was measured in three consecutive years (pre, during and post intervention) and compared using the Kruskal-Wallis test. Employee satisfaction and perception of the model were explored using surveys.

RESULTS

Data from 2564 children (mean age 3.2 years, 66% male) showed a 33% reduction in waiting time from the pre-intervention (median 57 days) to the post-intervention period (median 38 days, p < 0.01). The total number of children waiting was observed to reduce from 335 immediately prior to the intervention (mean per centre 67, SD 25.1) to 112 (mean 22, SD 13.6) after implementation (t[8] = 3.56, p < 0.01). There was no impact on employee satisfaction or other aspects of service delivery.

CONCLUSION

Waiting lists are a major challenge across the health system. STAT provides a practical, low-cost, data-driven approach to tackling waiting times. This study demonstrates its effectiveness in paediatric therapy services and provides evidence for a 'hub and spoke' approach to facilitate implementation that could be provided at scale.

"I hope it'll get better… in the end, it didn't really get better": a qualitative study of access to specialized rehabilitation services as experienced by adults with persistent MTBI symptoms

PURPOSE

Persistent symptoms experienced by adults following mild traumatic brain injury (mTBI) can significantly impact their daily activities. It is often difficult for them to access specialized rehabilitation services. The aim of this study is to explore this population's experience surrounding access to specialized rehabilitation services, including waiting time.

MATERIALS AND METHODS

This study used a qualitative phenomenological approach and was conducted using semi-structured interviews. Twelve adults with mTBI who had received specialized interdisciplinary rehabilitation services were recruited. The interviews focused on participants' recollection of their patient journey after injury, their perception of waiting, barriers and facilitators to access, and the impacts of these experiences on their condition.

RESULTS

Participants reported experiencing symptoms such as anxiety, depression, worry, sadness, and discouragement before accessing specialized services. They all agreed that they did not receive clear information about their recovery process or the health services available to them, which exacerbated their mental health symptoms.

CONCLUSION

The findings show that participants experienced uncertainty because they lacked information regarding recovery and access to health services after their injury. Education about symptoms and recovery, as well as emotional support for people with mTBI should be made available during the waiting period.

ehealth technology in cardiac exercise therapeutics for pediatric patients with congenital and acquired heart conditions: a summary of evidence and future directions

Many children and adolescents with congenital and acquired heart disease (CHD) are physically inactive and participate in an insufficient amount of moderate-to-vigorous intensity exercise. Although physical activity (PA) and exercise interventions are effective at improving short- and long-term physiological and psychosocial outcomes in youth with CHD, several barriers including resource limitations, financial costs, and knowledge inhibit widespread implementation and dissemination of these beneficial programs. New and developing eHealth, mHealth, and remote monitoring technologies offer a potentially transformative and cost-effective solution to increase access to PA and exercise programs for youth with CHD, yet little has been written on this topic. In this review, a cardiac exercise therapeutics (CET) model is presented as a systematic approach to PA and exercise, with assessment and testing guiding three sequential PA and exercise intervention approaches of progressive intensity and resource requirements: (1) PA and exercise promotion within a clinical setting; (2) unsupervised exercise prescription; and (3) medically supervised fitness training intervention (i.e., cardiac rehabilitation). Using the CET model, the goal of this review is to summarize the current evidence describing the application of novel technologies within CET in populations of children and adolescents with CHD and introduce potential future applications of these technologies with an emphasis on improving equity and access to patients in low-resource settings and underserved communities.

Group-based exercice training programs for military members presenting musculoskeletal disorders - protocol for a pragmatic randomized controlled trial

BACKGROUND

Musculoskeletal disorders are a leading cause of morbidity and the most prevalent source of disability among soldiers. Their high prevalence in armed forces and limited ressources have led to problems related to access to physical rehabilitation care. To increase access, supervised group-based exercise programs for the most prevalent musculoskeletal disorders (low back pain, patellofemoral pain, rotator cuff-related shoulder pain or lateral ankle sprain) have been developed at a Canadian Armed forces (CAF) base, but their effectiveness has not been evaluated. The primary objective of this randomized controlled trial is to evaluate the mid- and long-term effects of these group-based training programs on pain severity and functional limitations, in comparison with usual individual physiotherapy care. Secondary objectives include comparing both interventions in terms of health-related quality of life, pain-related fear, and patients' satisfaction.

METHODS

One hundred and twenty soldiers with a new medical referral for physiotherapy services for one of the four targeted musculoskeletal disorders will be consecutively recruited. They will be randomly assigned to either group-based training program or usual individual physiotherapy care, and will take part in the assigned 12-week intervention. There will be four evaluation sessions over 26 weeks (baseline, week 6, 12 and 26). At each follow-up, functional limitations, pain severity, health-related quality of life and pain-related fears will be assessed. Patients satisfaction with treatment will also be evaluated at the end of the intervention period. Either two-way repeated measures ANOVA will be used to analyse and compare the effects of the interventions.

DISCUSSION

This RCT will determine the effectiveness of group-based training programs compared to usual individual physiotherapy care. This new intervention model could represent an efficient, and more pro-active approach to manage a higher number of soldiers with musculoskeletal disorders. It could improve access to physical rehabilitation care and improve the health of soldiers.

TRIAL REGISTRATION

ClinicalTrials.gov ( NCT05235152 ), February 11th 2022.

Evaluating Different Strategies on the Blood Collection Counter Settings to Improve Patient Waiting Time in Outpatient Units

Long patient waiting time is one of the major problems in the healthcare system and it would decrease patient satisfaction. Previous studies usually investigated how to improve the treatment flow in order to reduce patient waiting time or length of stay. The studies on blood collection counters have received less attention. Therefore, the objective of this study is to reduce the patient waiting time at outpatient clinics for metabolism and nephrology outpatients. A discrete-event simulation is used to analyze the four different strategies for blood collection counter resource allocation. Through analyzing four different strategic settings, the experimental results revealed that the maximum number of patients waiting before the outpatient clinics was reduced from 41 to 33 (20%); the maximum patient waiti-ng time at the outpatient clinics was decreased from 201.6 minutes to 83 minutes (59%). In this study, we found that adjusting the settings of blood collection counters would be beneficial. Assigning one exclusive blood collection counter from 8 to 10 am is the most suitable option with the least impact on the operational process for hospital staff. The results provide managerial insight regarding the cost-effective strategy selection for the hospital operational strategy.