Factors Influencing the Implementation of a Fall Prevention Exercise Program for Community-Dwelling Older Adults: A Qualitative Study Guided by the PRECEDE-PROCEED Model.

Purpose: Multiple falls preventions exercise programs have been rolled out globally, however, few studies have explored the factors necessary for their implementation. This study aimed to investigate the factors influencing the implementation of "Steady Feet" (SF), a 12-week community fall prevention exercise intervention, for older adults living in Singapore. Material and Methods: This study utilized purposive sampling to recruit two participant groups: (i) older adults who declined or withdrew from the program and (ii) providers of the program (eg, instructors). We conducted 22 semi-structured interviews, recordings were transcribed and translated, followed by thematic analysis. Data collection and analysis were informed by the PRECEDE-PROCEED framework, focusing on predisposing, enabling, and reinforcing factors. Results: Findings revealed two predisposing, four enabling, and two reinforcing themes. Predisposing themes encompassed (i) knowledge, attitudes, and practices of older adults towards exercises and falls prevention, and (ii) perceptions and attitudes of providers towards SF. Both older adults and providers identified several enabling elements in implementing SF, emphasizing the significance of (i) accessibility, availability, and affordability. Providers highlighted (ii) tools and structural support for continual engagement, (iii) minimizing variations in capabilities through a competency development program, and (iv) fostering synergistic partnerships. Positive reinforcement included (i) the role of providers in engaging and promoting participation, (ii) family support, social networks, and (iii) incentives for older adults. Conversely, both groups highlighted negative reinforcements, including (iv) communication issues and (v) repetitive exercises, while providers specifically identified (vi) labor constraints as a deterrent for implementation. Conclusion: Findings indicate that effective implementation necessitates a multifaceted approach. Promoting participation involves engaging instructors, emphasizing social bonds and family involvement, offering incentives, and providing subsidized or free classes. A competency development program proved effective in reducing variations in providers' capabilities. Strengthening community partnerships, with management support, was crucial for ensuring the availability and accessibility of falls prevention programs.

Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip.

OBJECTIVE: This study aims to explore the feasibility of employing convolutional neural networks for detecting and localizing implant cutouts on anteroposterior pelvic radiographs. MATERIALS AND METHODS: The research involves the development of two Deep Learning models. Initially, a model was created for image-level classification of implant cutouts using 40191 pelvic radiographs obtained from a single institution. The radiographs were partitioned into training, validation, and hold-out test datasets in a 6/2/2 ratio. Performance metrics including the area under the receiver operator characteristics curve (AUROC), sensitivity, and specificity were calculated using the test dataset. Additionally, a second object detection model was trained to localize implant cutouts within the same dataset. Bounding box visualizations were generated on images predicted as cutout-positive by the classification model in the test dataset, serving as an adjunct for assessing algorithm validity. RESULTS: The classification model had an accuracy of 99.7%, sensitivity of 84.6%, specificity of 99.8%, AUROC of 0.998 (95% CI: 0.996, 0.999) and AUPRC of 0.774 (95% CI: 0.646, 0.880). From the pelvic radiographs predicted as cutout-positive, the object detection model could achieve 95.5% localization accuracy on true positive images, but falsely generated 14 results from the 15 false-positive predictions. CONCLUSION: The classification model showed fair accuracy for detection of implant cutouts, while the object detection model effectively localized cutout. This serves as proof of concept of using a deep learning-based approach for classification and localization of implant cutouts from pelvic radiographs.

ENABLE-SG (Educate, Nurture, Advise, Before Life Ends for Singapore) as a proactive palliative care model: protocol for a hybrid type 1 effectiveness-implementation randomized wait-list controlled trial.

BACKGROUND: Specialist palliative care is often provided late in the patient's disease trajectory in response to uncontrolled symptoms. Shifting from this reactionary illness-stress paradigm to a proactive health-wellness approach, the ENABLE (Educate, Nurture, Advise, Before Life Ends) telehealth model aims to enhance the coping, stress and symptom management, self-care, and advance care planning skills of patients with advanced cancers and their caregivers. The ENABLE model has been culturally adapted to Singapore (ENABLE-SG) and pilot-tested. A hybrid type 1 effectiveness-implementation design will be used to evaluate the effectiveness of ENABLE-SG while collecting real-world implementation data. METHODS: This single-centre, assessor-blind, wait-list (immediately vs. 6 months) randomized controlled trial will recruit 300 adult patients within 60 days of an advanced cancer diagnosis and their family caregivers from the National Cancer Centre of Singapore. ENABLE-SG comprises structured psychoeducational sessions with a telehealth coach, covering essential topics of early palliative care. Participants will be assessed at baseline and every 3 months until patient's death, 12 months (caregivers), or end of study (patients). The primary outcome is patient quality of life 6 months after baseline. Secondary patient-reported outcomes include mood, coping, palliative care concerns, and health status. Secondary caregiver-reported outcomes include caregiver quality of life, mood, coping, and care satisfaction. Mixed-effects regression modelling for repeated measurements will be used. To assess the effectiveness of ENABLE-SG versus usual care, patient and caregiver outcomes at 6 months will be compared. To compare earlier versus delayed ENABLE-SG, patient and caregiver outcomes at 12 months will be compared. Within the hybrid type 1 effectiveness-implementation design, implementation outcomes will be evaluated in both the early and delayed groups. Acceptability, adoption, appropriateness, and feasibility will be assessed using a feedback survey and semi-structured interviews with a purposive sample of patients, caregivers, and healthcare providers. Transcribed interviews will be analysed thematically. Other implementation outcomes of penetration, fidelity, and cost will be assessed using records of study-related processes and summarized using descriptive statistics. A cost-effectiveness analysis will also be conducted. DISCUSSION: This study will assess both effectiveness and implementation of ENABLE-SG. Insights into implementation processes can facilitate model expansion and upscaling. TRIAL REGISTRATION: Registered prospectively on ClinicalTrials.gov, NCT06044441. Registered on 21/09/2023.

Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital.

Aim: Rapid response systems (RRS) are present in many acute hospitals in western nations but are not widely adopted in Asia. The influence of healthcare culture and the effect of implementing an RRS over time are infrequently reported. We describe the introduction a RRS into a Singaporean hospital and the barriers encountered. The efferent limb activation rates, cardiac arrest rates and unplanned intensive care unit (ICU) admissions are trended over eleven years. Methods: We conducted a retrospective observational study using prospectively collected data derived from administrative and Medical Emergency Team (MET) databases. Results: The RRS used a MET with a single parameter track and trigger and physician led efferent limb. Barriers encountered included clinical leadership buy-in, assembling and equipping the efferent team, maintaining a non-punitive mindset, improving accessibility to MET and communicating the impact of the MET. Over an 11-year period with 488,252 hospital admissions, MET activation rates increased from 1.6/1000 admissions (2009) to 14.1/1000 admissions (2019). Code blue activations and unplanned ICU admission rates decreased from 2.9 to 1.7 and from 8.8 to 2.0/1000 admissions, respectively over the 11 years. There were associations between increasing MET activation rate and reduction in code blue activations (p = 0.013) and unplanned medical ICU admission rates (p = 0.001). Conclusion: Implementing, sustaining and continued improvement of an RRS in Singapore is possible despite challenges encountered. With increasing activation rates over a decade, there were reductions in cardiac arrest rates and unplanned medical ICU admissions.

Application of a deep learning algorithm in the detection of hip fractures.

This paper describes the development of a deep learning model for prediction of hip fractures on pelvic radiographs (X-rays). Developed using over 40,000 pelvic radiographs from a single institution, the model demonstrated high sensitivity and specificity when applied to a test set of emergency department radiographs. This study approximates the real-world application of a deep learning fracture detection model by including radiographs with sub-optimal image quality, other non-hip fractures, and metallic implants, which were excluded from prior published work. The study also explores the effect of ethnicity on model performance, as well as the accuracy of visualization algorithm for fracture localization.

Benchmarking performance of an automatic polysomnography scoring system in a population with suspected sleep disorders.

Aim: The current gold standard for measuring sleep disorders is polysomnography (PSG), which is manually scored by a sleep technologist. Scoring a PSG is time-consuming and tedious, with substantial inter-rater variability. A deep-learning-based sleep analysis software module can perform autoscoring of PSG. The primary objective of the study is to validate the accuracy and reliability of the autoscoring software. The secondary objective is to measure workflow improvements in terms of time and cost via a time motion study. Methodology: The performance of an automatic PSG scoring software was benchmarked against the performance of two independent sleep technologists on PSG data collected from patients with suspected sleep disorders. The technologists at the hospital clinic and a third-party scoring company scored the PSG records independently. The scores were then compared between the technologists and the automatic scoring system. An observational study was also performed where the time taken for sleep technologists at the hospital clinic to manually score PSGs was tracked, along with the time taken by the automatic scoring software to assess for potential time savings. Results: Pearson's correlation between the manually scored apnea-hypopnea index (AHI) and the automatically scored AHI was 0.962, demonstrating a near-perfect agreement. The autoscoring system demonstrated similar results in sleep staging. The agreement between automatic staging and manual scoring was higher in terms of accuracy and Cohen's kappa than the agreement between experts. The autoscoring system took an average of 42.7 s to score each record compared with 4,243 s for manual scoring. Following a manual review of the auto scores, an average time savings of 38.6 min per PSG was observed, amounting to 0.25 full-time equivalent (FTE) savings per year. Conclusion: The findings indicate a potential for a reduction in the burden of manual scoring of PSGs by sleep technologists and may be of operational significance for sleep laboratories in the healthcare setting.

Association between proximity to COVID-19 and the quality of life of healthcare workers.

BACKGROUND: The coronavirus disease 2019 (COVID-19) affects almost all countries in the world and it impacts every aspect of people's life-physically, mentally, and socio-economically. There are several research studies examining the impact of this pandemic on health, however, very few studies examining the impact of this pandemic on quality of life. This study aimed to investigate the association between proximity to the COVID-19 and quality of life of healthcare workers and identify factors influencing quality of life. METHODS: A cross-sectional study was conducted among hospital staff in a tertiary hospital in Singapore. Data on demographic, medical history, lifestyle factors, psychosocial factors, and quality of life were collected using online self-administered questionnaire. Quality of life (QoL) was measured by the WHOQOL-BREF questionnaire. Robust linear regression was used to determine factors associated with quality of life. RESULTS: A total of 1911 participants were included in the analysis. The average age of participants was 38.25 (SD = 11.28) years old. 26.90% of participants had been quarantined, hospitalised, being suspected or diagnosed of having COVID-19 infection and they were found to have the lowest levels of QoL across all four domains (physical, psychological, social, and environmental domains). Participants who were singles or nurses, worked in shifts or worked longer hours, had chronic diseases were likely to have lower QoL scores compared to participants in other categories. Healthy lifestyle, social connectivity, resilience, social and workplace support were associated with higher QoL scores. CONCLUSIONS: In planning of measures which aim to improve QoL of healthcare workers, priority should be given to individuals who have been quarantined, hospitalised, being suspected, or diagnosed of having COVID-19 infection. In addition to the proximity of the COVID, lifestyle and psychosocial factors contribute to QoL of healthcare workers. Hence, multifaceted interventions are needed to improve QoL of healthcare workers.

Non-alcoholic fatty liver disease screening in type 2 diabetes mellitus: A cost-effectiveness and price threshold analysis.

INTRODUCTION: The cost-effectiveness of screening asymptomatic non-alcoholic fatty liver disease (NAFLD) patients remains debatable, with current studies assuming lifelong benefits of NAFLD screening while neglecting cardiovascular outcomes. This study aims to assess the cost-effectiveness of NAFLD screening among type 2 diabetes mellitus (T2DM) patients, and to establish a price threshold for NAFLD treatment, when it becomes available. METHOD: A Markov model was constructed comparing 4 screening strategies (versus no screening) to identify NAFLD with advanced fibrosis among T2DM patients: fibrosis-4 (FIB-4), vibration-controlled transient elastography (VCTE), FIB-4 and VCTE (simultaneous), and FIB-4 and VCTE (sequential). Sensitivity analyses and price threshold analyses were performed to assess parameter uncertainties in the results. RESULTS: VCTE was the most cost-effective NAFLD screening strategy (USD24,727/quality-adjusted life year [QALY]), followed by FIB-4 (USD36,800/QALY), when compared to no screening. Probabilistic sensitivity analysis revealed a higher degree of certainty for VCTE as a cost-effective strategy compared to FIB-4 (90.7% versus 73.2%). The duration of expected screening benefit is the most influential variable based on incremental cost-effectiveness ratio tornado analysis. The minimum duration of screening benefit for NAFLD screening to be cost-effective was at least 2.6 years. The annual cost of NAFLD treatment should be less than USD751 for NAFLD screening to be cost-effective. CONCLUSION: Both VCTE and FIB-4 are cost-effective NAFLD screening strategies among T2DM patients in Singapore. However, given the lack of access to VCTE at primacy care and potential budget constraints, FIB-4 can also be considered for NAFLD screening among T2DM patients in Singapore.

A Study Protocol of Realist Evaluation of Palliative Home Care Program for Non-Cancer Patients in Singapore.

Introduction: Violet Program (ViP) was developed to address the current home palliative service gap for individuals with life limiting non-cancer conditions residing in the Eastern part of Singapore. While its basic principles and processes have been planned and implemented, how ViP works, for whom and in what circumstances are not yet well understood. Therefore, we propose for a realist evaluation (RE) - a theory-based evaluation, to address the current knowledge gaps. Evaluation findings may guide, support further development and broader uptake of ViP. Methods and Analysis: This study will be conducted in three phases: 1. development of initial program theory (IPT), 2. testing of programme theory, and 3. refinement of IPT. First, IPT will be elicited through review of programme documents, scoping review of reviews and in-depth interviews with stakeholders involved in the conceptualization of ViP. Then, a convergent mixed method study will be conducted to assess contexts (C), mechanisms (M) and outcomes (O) to test the IPT through interviews with stakeholders, surveys and analysis of program and administrative databases. Based on findings gathered and through consultation with respective stakeholders, IPT will be refined to highlight what works (outcomes), how (mechanisms) and for whom under what conditions (contexts).

A community-based single fall prevention exercise intervention for older adults (STEADY FEET): Study protocol for a randomised controlled trial.

BACKGROUND: Falls and fall-related injuries in older adults are a leading cause of disability and death. Evidence has shown the benefits of exercises in improving functional outcomes and reducing fall rates among community-dwelling older adults. However, there is lack of effective community-based single exercise intervention for a broad population of older adults who are at high risk for falls. We aim to evaluate the effectiveness of Steady Feet (SF), a 6-month tailored community fall prevention exercise programme for improving functional outcomes. SF classes are facilitated by community fitness instructors and an exercise video. The main outcome is between-group changes in short physical performance battery (SPPB) scores. Secondary outcomes include balance confidence, fear of falling, quality of life, fall rates, and cost effectiveness. METHODS: We present the design of a 6-month randomised controlled trial of 260 older adults (≥ 60 years old). Individuals will be randomised in a 1:1 allocation ratio to the SF group or usual care group. Participants will be assessed at baseline, 3-month, and 6-month. Data on socio-demographics, co-morbidities, balance confidence, fear of falling, quality of life, physical activity level, rate of perceived exertion, fall(s) history, healthcare utilisation and cost, and satisfaction levels will be collected. Participants will also undergo functional assessments such as SPPB. Moreover, providers' satisfaction and feedback will be obtained at 3-month. DISCUSSION: An effective community fall prevention programme may lead to improved functional outcomes and reduced fall rates. Findings will also help inform the implementation and scaling of SF nation-wide. TRIAL REGISTRATION: Clinicaltrials.gov registration: NCT04801316. Registered on 15th March 2021.

Prevalence and correlates of psychological distress and coronavirus anxiety among hospital essential services workers in Singapore.

INTRODUCTION: The COVID-19 pandemic has affected almost all populations, with frontline workers experiencing a higher risk of mental health effects compared to other groups. Although there are several research studies focusing on the mental health effects of the pandemic on healthcare workers, there is little research about its impact on workers in outsourced hospital essential services. This study aims to examine the prevalence and correlates of psychological distress and coronavirus anxiety among staff working in 3 outsourced hospital essential services-housekeeping, porter service and maintenance services. METHODS: A cross-sectional study was conducted among outsourced hospital essential services workers in a tertiary hospital. Data on demographics, medical history, lifestyle factors, psychosocial factors and mental well-being were collected using self-administered questionnaires. Robust logistic regression was used to determine risk factors associated with psychological distress and dysfunctional anxiety related to COVID-19. RESULTS: A total of 246 hospital essential services workers participated in the study. The prevalence of psychological distress was 24.7%, and dysfunctional anxiety related to COVID-19 was 13.4%. Social support and workplace support were found to be independently associated with a lower risk of psychological distress, and social connectivity was associated with a lower risk of dysfunctional anxiety related to COVID-19. CONCLUSION: These findings highlight the crucial roles of communities and workplaces in combating the mental health consequences of the pandemic. Public health programmes that aim to tackle the emerging mental health crisis in hospital essential services workers should incorporate strategies to address psychosocial factors, in addition to traditional self-care approaches.

The impact of community nursing program on healthcare utilization: A program evaluation.

BACKGROUND: The role of nurses has evolved to meet the dynamic needs of an aging population. Community nursing has been established in Singapore with the aim to anchor population health and provide sustainable healthcare services beyond the hospital to the community. Community nurses provide health services to residents at the Community Nurse Posts (CNP) situated within the heartland residential estates. OBJECTIVE: To investigate the effect on healthcare utilization six months pre and post first community nurse visit in older adults, and if the effect is modified by the presence of two or more community nurse visits or absence of a polyclinic chronic disease diagnosis. DESIGN: A single-group pretest-posttest study SETTING(S): Fifty-one SingHealth CNPs at the southeast and east regions of Singapore PARTICIPANTS: Community-dwelling older adults aged ≥ 60 years, seen at any of the SingHealth CNPs between 1 April and 30 November 2019. METHODS: The number of emergency department (ED) visits, unplanned inpatient admissions, length of inpatient stay, specialist outpatient clinic (SOC) and polyclinic visits at SingHealth institutions six months from the first community nurse visit were compared to six months prior. Negative binomial generalized estimating equations were used to model healthcare utilization events, adjusting for baseline age, gender, and race. RESULTS: 1,600 community-dwelling participants were included, of whom 1,561 (median age of 71 years) survived the post-test period. There was a population-average 23% lower rate of ED visits (incidence rate ratio 0.77, 95% confidence interval 0.68 to 0.87, p<0.001) and 15% lower rate of unplanned inpatient admissions (0.85, 0.75 to 0.96, p=0.011). A trend towards a lower rate of inpatient length of stay and a higher rate of SOC and polyclinic visits was also observed. The reduction in acute care utilization may have been greater among adults with two or more community nurse visits. Participants with no recent polyclinic chronic disease diagnosis had a greater increase in SOC visits. CONCLUSIONS: Community nursing services are associated with reduced acute care utilization, especially for older adults with two or more community nurse visits. The trend of a higher rate of SOC visits could be attributed to the community nurses' referrals for undiagnosed/ new conditions and/or treatment of suboptimal health issues. There is a potential role for community nursing towards a sustainable healthcare system.

Associations between socio-demographics, nutrition knowledge, nutrition competencies and attitudes in community-dwelling healthy older adults in Singapore: findings from the SHIELD study.

BACKGROUND: Nutrition literacy refers to an individual's knowledge, motivation and competencies to access, process and understand nutrition information to make nutrition-related decisions. It is known to influence dietary habits of individuals including older adults. This cross-sectional study was designed to: (1) understand the nutrition knowledge, competencies and attitudes of community-dwelling older adults in Singapore, (2) examine the differences between their nutrition knowledge, and socio-demographic factors, competencies and attitudes and (3) identify factors associated with better nutrition knowledge in older healthy adults in Singapore. METHODS: A total of 400 (183 males and 217 females) nourished community-dwelling older adults aged 65 years and above took part in this study. Malnutrition Universal Screening Tool (MUST) was used to determine individuals who were at low risk of undernutrition. Nutrition knowledge, competencies, attitudes and sources of nutrition information were measured using a locally developed scale. Nutrition knowledge scores were summed to form the nutrition knowledge index (NKI). Associations between NKI, competencies, attitudes and socio-demographic variables were examined using Chi-square and Fisher's exact tests. Factors associated with NKI were determined using a stepwise regression model with resampling-based methods for model averaging. RESULTS: Bivariate analyses found significant differences in NKI scores for gender, monthly household earnings, type of housing, the self-reported ability to seek and understand nutrition information and having access to help from family/friends. Females had higher NKI scores compared to males (p < 0.001). Compared to females, more males left food decisions to others (p < 0.001), and fewer males reported consuming home-cooked food (p = 0.016). Differences in educational level were found for competencies like the self-reported ability to seek (p < 0.001) and verify nutrition information (p < 0.001). Stepwise regression analysis showed that being female, Chinese, self-reported ability to understand nutrition information and having access to help from family/friends were associated with higher NKI scores. CONCLUSIONS: Our study revealed that nutrition knowledge of older males in Singapore was lower than females and more left food decisions to others. Nutrition education programs could be targeted at both the older male, their caregivers and minority ethnic groups. Trial Registration This study was registered on 7 August 2017 at clinicaltrials.gov (ref. NCT03240952).

Nonurgent Patients' Preferences for Emergency Department Versus General Practitioner and Effects of Incentives: A Discrete Choice Experiment.

Objective. This study investigates potential of a new financial incentive policy, the GP-referral discount scheme introduced in Singapore, in reducing nonurgent emergency department (ED) visits, and compares it with alternative interventions. Methods. A discrete choice experiment (DCE) was designed to elicit patients' preferences for ED and general practitioner (GP) under hypothetical nonurgent medical conditions. Through latent class multinomial logistic regression, choice models were estimated to quantify how patients' choices are influenced by GP-referral discount, other ED/GP attributes (waiting time, test facilities, and payment), patient demographics, and their perception of severity. The choice models were used to predict uptake of the GP-referral discount scheme and other countermeasures suggested by these models. Results. Survey responses from 849 respondents recruited from a public hospital in Singapore were included in the study. The choice model identified two prominent classes of patients, one of which was highly sensitive to GP-referral discount and the other to test-facility-availability. Patients' perceptions of severity ("critical" v. "not critical" enough to go to ED directly) were highly significant in influencing preference heterogeneity. Predictive analysis based on the choice model showed that GP-referral discount is more effective when patients visit ED expecting "shorter" waits, as opposed to test-facility provision at GPs and perception-correction measures that showed stronger effects under "longer" expected waits. Conclusions. The new GP-referral financial incentive introduced in Singapore can be effective in reducing nonurgent ED visits, if it reasonably covers the (extra) cost of visiting a GP. It may serve as a complement to test-facility provision at GPs or perception-correction measures, as the financial incentive and the latter two measures appear to influence distinct classes (discount-sensitive and facility-sensitive) of patients.

Factors associated with inappropriate attendances at the emergency department of a tertiary hospital in Singapore.

INTRODUCTION: Inappropriate attendances (IAs) at emergency departments (ED) are contributed by patients with mild or moderate medical conditions that can be effectively managed by primary care physicians. IAs strain limited ED resources and have an adverse impact on efficiency. This study aimed to identify factors associated with IA at the ED of a tertiary hospital in Singapore. METHODS: We conducted a retrospective cohort study of all eligible visits to the aforementioned ED between 1 January 2015 and 31 December 2015. The appropriateness of each attendance was estimated using criteria based on investigations or procedures that were performed on the attendee and the discharge type of that attendance. IAs were then compared against appropriate attendances in these areas: attendee demographics; referral source; time of ED visit; proximity to ED and 24-hour general practitioner clinics; and history of ED visits in 2014. Multivariate analysis was performed on significant variables associated with IAs. RESULTS: Among 120,606 attendances, 11,631 (9.6%) were IAs. Multivariate analysis showed that gender, ethnicity, referral source, time of ED visit, nationality and history of frequent visits to the ED were factors associated with IAs. Moreover, the odds of IA were found to be higher among attendees who were younger, were self-referred, or had at least one IA in 2014. CONCLUSION: This study identified subgroups in the population who were more likely to contribute to IAs at the ED. These findings offer relevant insights into future research directions and strategies that might potentially reduce avoidable IAs.

Cost-effectiveness analysis of liver resection versus transplantation for early hepatocellular carcinoma within the Milan criteria.

UNLABELLED: Both liver resection (LR) and cadaveric liver transplantation (CLT) are potentially curative treatments for patients with hepatocellular carcinoma (HCC) within the Milan criteria and with adequate liver function. Adopting either as a first-line therapy carries major cost and resource implications. The objective of this study was to estimate the relative cost-effectiveness of LR against CLT for patients with HCC within the Milan criteria using a decision analytic model. A Markov cohort model was developed to simulate a cohort of patients aged 55 years with HCC within the Milan criteria and Child-Pugh A/B cirrhosis, undergoing LR or CLT, and followed up over their remaining life expectancy. Analysis was performed in different geographical cost settings: the USA, Switzerland and Singapore. Transition probabilities were obtained from systematic literature reviews, supplemented by databases from Singapore and the Organ Procurement and Transplantation Network (USA). Utility and cost data were obtained from open sources. LR produced 3.9 quality-adjusted life years (QALYs) while CLT had an additional 1.4 QALYs. The incremental cost-effectiveness ratio (ICER) of CLT versus LR ranged from $111,821/QALY in Singapore to $156,300/QALY in Switzerland, and was above thresholds for cost-effectiveness in all three countries. Sensitivity analysis revealed that CLT-related 5-year cumulative survival, one-time cost of CLT, and post-LR 5-year cumulative recurrence rates were the most sensitive parameters in all cost scenarios. ICERs were reduced below threshold when CLT-related 5-year cumulative survival exceeded 84.9% and 87.6% in Singapore and the USA, respectively. For Switzerland, the ICER remained above the cost-effectiveness threshold regardless of the variations. CONCLUSION: In patients with HCC within the Milan criteria and Child-Pugh A/B cirrhosis, LR is more cost-effective than CLT across three different costing scenarios: the USA, Switzerland, Singapore.

Dynamic ambulance reallocation for the reduction of ambulance response times using system status management.

OBJECTIVES: Dynamically reassigning ambulance deployment locations throughout a day to balance ambulance availability and demands can be effective in reducing response times. The objectives of this study were to model dynamic ambulance allocation plans in Singapore based on the system status management (SSM) strategy and to evaluate the dynamic deployment plans using a discrete event simulation (DES) model. METHODS: The geographical information system-based analysis and mathematical programming were used to develop the dynamic ambulance deployment plans for SSM based on ambulance calls data from January 1, 2011, to June 30, 2011. A DES model that incorporated these plans was used to compare the performance of the dynamic SSM strategy against static reallocation policies under various demands and travel time uncertainties. RESULTS: When the deployment plans based on the SSM strategy were followed strictly, the DES model showed that the geographical information system-based plans resulted in approximately 13-second reduction in the median response times compared to the static reallocation policy, whereas the mathematical programming-based plans resulted in approximately a 44-second reduction. The response times and coverage performances were still better than the static policy when reallocations happened for only 60% of all the recommended moves. CONCLUSIONS: Dynamically reassigning ambulance deployment locations based on the SSM strategy can result in superior response times and coverage performance compared to static reallocation policies even when the dynamic plans were not followed strictly.