Carbon emissions and air pollution savings among telehealth visits for cardiology appointments.

Background: Climate change has been associated with adverse cardiovascular health, prompting interest in climate mitigation strategies while improving access for cardiovascular patients. We estimated greenhouse gas and air pollution savings from telehealth use in cardiology. Methods: Using cardiology telehealth visits at a large academic medical center from July 2020 to March 2024, carbon dioxide (CO2), nitrogen oxides (NOx), carbon monoxide (CO), and particulate matter (PM2.5) emissions saved were calculated using U.S. Environmental Protection Agency modeling software. Savings were converted into real-world comparators and differences were assessed by cardiology subspecialty and patient insurance status. Results: Over 45 months, 14,828 telehealth visits among 9942 patients resulted in savings of 484,152 kg of CO2, 5225 kg of CO, 243,491 g of NOx, and 9091 g of PM2.5 with the total carbon saved equivalent to planting 9070 tree saplings over ten years. CO2 emissions saved per visit (kg) differed significantly by payor (Self-pay 24.99, Medicare 19.67, Medicaid 19.54, Private 17.85, Other 17.37, p = 0.004) and by subspecialty (Interventional 23.79, General 19.08, Heart Failure 18.86, Electrophysiology 17.81, Adult Congenital 16.59, p < 0.001). Conclusions: Carbon emission and air pollution savings from telehealth in cardiology were substantial, with an estimated 19.06 kg of CO2 saved per visit and total savings over 45 months equivalent to planting over nine thousand trees.

Value of nutritional indices in predicting survival free from pump replacement and driveline infections in centrifugal left ventricular assist devices.

Objective: There is a paucity of data assessing the impact of nutritional status on outcomes in patients supported with the HeartMate 3 (HM3) left ventricular assist device (LVAD). Methods: Patients ≥18 years of age who underwent HM3 LVAD implantation between 2015 and 2020 were identified from a single tertiary care center. The primary outcome assessed was death or device replacement. A secondary outcome of driveline infection was also evaluated. Kaplan-Meier survival analysis and a multivariate Cox-proportional hazards model were used to identify predictors of outcome. Results: Of the 289 patients identified, 94 (33%) experienced a primary outcome and 96 (33%) a secondary outcome during a median follow-up time of 2.3 years. Independent predictors of the primary outcome included peripheral vascular disease (hazard ratio [HR], 3.40; 95% confidence interval [CI], 1.66-6.97, P < .01), diabetes mellitus (HR, 0.46; 95% CI, 0.27-0.80, P < .01), body mass index ≥40 kg/m2 (HR, 2.63 per 1 kg/m2 increase; 95% CI, 1.22-5.70, P < .05), preoperative creatinine level (HR, 1.86 per 1 mg/dL increase; 95% CI, 1.31-2.65, P < .01), and preoperative prognostic nutritional index (PNI) score (HR, 0.88 per 1-point increase; 95% CI, 0.81-0.96, P < .01). Independent predictors of driveline infection included age at the time of implantation (HR, 0.97; 95% CI, 0.96-0.99, P < .01) and diabetes mellitus (HR, 1.79; 95% CI, 1.17-2.73, P < .01). Conclusions: Preoperative PNI scores may independently predict mortality and the need for device replacement in patients with HM3 LVAD. Routine use of the PNI score during preoperative evaluation and, when possible, supplementation to PNI >33, may be of value in this population.

Costs of care and financial hardship among patients with heart failure.

With the implementation of new therapies, more patients are living with heart failure (HF) as a chronic condition. Alongside these advances, out-of-pocket (OOP) medical costs have increased, and patients experience significant financial burden. Despite increasing interest in understanding and mitigating financial burdens, there is a relative paucity of data specific to HF. Here, we explore financial hardship in HF from the patient perspective, including estimated OOP costs for guideline-directed medical therapy for HF with reduced ejection fraction, hospitalizations, and total direct medical costs, as well as the consequences of high OOP costs. Studies estimate that high OOP costs are common in HF, and a large proportion are related to prescription drugs. Subsequently, the effects on patients can lead to worsening adherence, delayed care, and poor outcomes, leading to a financial toxicity spiral. Further, we summarize patients' cost preferences and outline future research that is needed to develop evidence-based solutions to reduce costs in HF.

Implementation of an educational intervention to improve medical student cost awareness: a prospective cohort study.

BACKGROUND: In the context of rising healthcare costs, formal education on treatment-related financial hardship is lacking in many medical schools, leaving future physicians undereducated and unprepared to engage in high-value care. METHOD: We performed a prospective cohort study to characterize medical student knowledge regarding treatment-related financial hardship from 2019 to 2020 and 2020-2021, with the latter cohort receiving a targeted educational intervention to increase cost awareness. Using Kirkpatrick's four-level training evaluation model, survey data was analyzed to characterize the acceptability of the intervention and the impact of the intervention on student knowledge, attitudes, and self-reported preparedness to engage in cost-conscious care. RESULTS: Overall, N = 142 medical students completed the study survey; 61 (47.3%) in the non-intervention arm and 81 (66.4%) in the intervention arm. Of the 81 who completed the baseline survey in the intervention arm, 65 (80.2%) completed the immediate post-intervention survey and 39 (48.1%) completed the two-month post-intervention survey. Following the educational intervention, students reported a significantly increased understanding of common financial terms, access to cost-related resources, and level of comfort and preparedness in engaging in discussions around cost compared to their pre-intervention responses. The majority of participants (97.4%) reported that they would recommend the intervention to future students. A greater proportion of financially stressed students reported considering patient costs when making treatment decisions compared to their non-financially stressed peers. CONCLUSIONS: Targeted educational interventions to increase cost awareness have the potential to improve both medical student knowledge and preparedness to engage in cost-conscious care. Student financial stress may impact high-value care practices. Robust curricula on high-value care, including treatment-related financial hardship, should be formalized and universal within medical school training.

Guideline Adherence and Practice Patterns in the Management of Medullary Thyroid Cancer.

INTRODUCTION: Little is known about nationwide practice patterns for the management medullary thyroid cancer (MTC) in relation to the 2015 American Thyroid Association guidelines and their impact on survival. METHODS: Using the Surveillance, Epidemiology, and End Results Program database (2000-2018), MTC treatment patterns were evaluated in terms of adherence to the 2015 American Thyroid Association guidelines across three time periods (2000-2009, 2010-2015, and 2016-2018). Outcomes of interest were guideline concordance, treatment utilization trends, disease-specific survival (DSS), and overall survival (OS). RESULTS: A total of 3332 patients with MTC were identified. Of which, 53.8%, 33.2%, and 11.4% of patients had localized, regional, and distant disease, respectively. In patients with locoregional disease, the rate of guideline-concordant surgery improved over time from 63.0% in 2000-2009 to 76.0% in 2016-2018 (P < 0.001). Guideline-concordant care was associated with increased OS (HR = 1.85, 95% CI: 1.42-2.43, P < 0.001) in patients with localized disease and increased DSS (HR = 1.65, 95% CI: 1.01-2.54, P < 0.001) and OS (HR = 1.89, 95% CI: 1.35-2.58, P < 0.001) in patients with regional disease. The median OS and DSS in patients with distant disease were 31 and 55 mo, respectively, and the rate of chemotherapy use rose from 21.6% to 39.2% (P = 0.003). CONCLUSIONS: The rate of guideline-concordant surgery for locoregional MTC increased after guideline publication in 2015, with an observed prolongment in OS and DSS. Chemotherapy use among patients with distant disease has increased over time, but their prognosis remains variable.

Medullary thyroid cancer with RET V804M mutation: more indolent than expected?

BACKGROUND: Significant genotype-phenotype variability among multiple endocrine neoplasia type 2A patients with a RET V804M mutation has been reported. METHODS: Patients with a RET V804M mutation treated at a single center were identified (January 1996-December 2020). The baseline characteristics, operative details, pathology, biochemical, and long-term data were analyzed. RESULTS: There were 79 patients; none developed pheochromocytoma or hyperparathyroidism or died in the study period. The mean age was 41.5 years (range = 1.0-81.0 years); 46.8% were men. Of 68 surgical patients, 53 (77.9%) underwent total thyroidectomy and 15 (22.1%) underwent total thyroidectomy with central neck dissection with or without lateral neck dissection. Twenty-four patients had elevated preoperative calcitonin, of whom 12 underwent total thyroidectomy (median = 7.5; range = 5.0-237.0 pg/mL), 10 underwent total thyroidectomy + central neck dissection (median = 27.6; range = 5.1-147.0 pg/mL), and 2 underwent total thyroidectomy + central neck dissection + lateral neck dissection (median = 3182.0; range = 361.0-6003.0 pg/mL). Pathology was benign (27.9%), papillary thyroid cancer alone (1.5%), C-cell hyperplasia (23.5%), and medullary thyroid cancer (47.1%; median tumor size = 3.0 mm). Three patients had elevated calcitonin postoperatively (median follow-up time = 60.0 months). In adjusted modeling, a preoperative calcitonin >5 pg/mL was associated with having medullary thyroid cancer on final pathology (odds ratio = 13.3; 95% confidence interval, 3.2-56.3; P < .001). CONCLUSION: In this large United States cohort of surgical patients with a RET V804M mutation, most had indolent disease and were without classic multiple endocrine neoplasia type 2A features. Calcitonin >5 pg/mL may serve as a meaningful value to guide surveillance and timing of surgery.

Tumor marker response to SARS-CoV-2 infection among patients with cancer.

BACKGROUND: Inflammatory responses from benign conditions can cause non-cancer-related elevations in tumor markers. The severe acute respiratory coronavirus 2 (SARS-CoV-2) induces a distinct viral inflammatory response, resulting in coronavirus disease 2019 (COVID-19). Clinical data suggest carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA 19-9), and cancer antigen 125 (CA 125) levels might rise in patients with COVID-19. However, available data excludes cancer patients, so little is known about the effect of COVID-19 on tumor markers among cancer patients. METHODS: We conducted a case series and identified patients with a positive SARS-CoV-2 PCR test, diagnosis of a solid tumor malignancy, and a CEA, CA 19-9, CA 125, or CA 27-29 laboratory test. Cancer patients with documented COVID-19 infection and at least one pre- and two post-infection tumor marker measurements were included. We abstracted the electronic health record for demographics, cancer diagnosis, treatment, evidence of cancer progression, date and severity of COVID-19 infection, and tumor marker values. RESULTS: Seven patients were identified with a temporary elevation of tumor marker values during the post-COVID-19 period. Elevation in tumor marker occurred within 56 days of COVID-19 infection for all patients. Tumor markers subsequently decreased at the second time point in the post-infectious period among all patients. CONCLUSION: We report temporary elevations of cancer tumor markers in the period surrounding COVID-19 infection. To our knowledge this is the first report of this phenomenon in cancer patients and has implications for clinical management and future research.

Patient-Reported Outcomes Following Total Thyroidectomy for Graves' Disease.

Background: Graves' disease accounts for ∼80% of all cases of hyperthyroidism and is associated with significant morbidity and decreased quality of life. Understanding the association of total thyroidectomy with patient-reported quality-of-life and thyroid-specific symptoms is critical to shared decision-making and high-quality care. We estimate the change in patient-reported outcomes (PROs) before and after surgery for patients with Graves' disease to inform the expectations of patients and their physicians. Methods: PROs using the MD Anderson Symptom Inventory (MDASI) validated questionnaire were collected prospectively from adult patients with Graves' disease from January 1, 2015, to November 20, 2020, on a longitudinal basis. Survey responses were categorized as before surgery (≤120 days), short term after surgery (<30 days; ST), and long term after surgery (≥30 days; LT). Negative binomial regression was used to estimate the association of select covariates with PROs. Results: Eighty-five patients with Graves' disease were included. The majority were female (83.5%); 47.1% were non-Hispanic white and 35.3% were non-Hispanic black. The median thyrotropin (TSH) value before surgery was 0.05, which increased to 0.82 in ST and 1.57 in LT. In bivariate analysis, the Total Symptom Burden Score, a composite of all patient-reported burden, significantly reduced shortly after surgery (before surgery mean of 56.88 vs. ST 39.60, p < 0.001), demonstrating improvement in PROs. Furthermore, both the Thyroid Symptoms Score, including patient-reported thermoregulation, palpitations, and dysphagia, and the Quality-of-Life Symptom Score improved in ST and LT (thyroid symptoms, before surgery 13.88 vs. ST 8.62 and LT 7.29; quality of life, before surgery 16.16 vs. ST 9.14 and LT 10.04, all p < 0.05). After multivariate adjustment, the patient-reported burden in the Thyroid Symptom Score and the Quality-of-Life Symptom Score exhibited reduction in ST (thyroid symptoms, rate ratio [RR] 0.55, confidence interval [CI]: 0.42-0.72; quality of life, RR 0.57, CI: 0.40-0.81) and LT (thyroid symptoms, RR 0.59, CI: 0.44-0.79; quality of Life, RR 0.43, CI: 0.28-0.65). Conclusions: Quality of life and thyroid-specific symptoms of Graves' patients improved significantly from their baseline before surgery to both shortly after and longer after surgery. This work can be used to guide clinicians and patients with Graves' disease on the expected outcomes following total thyroidectomy.

Navigating the high costs of cancer care: opportunities for patient engagement.

Over the past decade, the financial burden of cancer care on patients and their families has garnered increased attention. Many of the potential solutions have focused on system-level interventions such as adopting value-based payment models and negotiating drug prices; less consideration has been given to actions at the patient level to address cancer care costs. We argue that it is imperative to develop and support patient-level strategies that engage patients and consider their preferences, values and individual circumstances. Opportunities to meet these aims and improve the economic experience of patients in oncology are discussed, including: shared decision-making and communication, financial navigation and treatment planning, digital technology and alternative care pathways, and value-based insurance design.

Lay abstract The financial burden of cancer care on patients and their families is a growing problem and action is critically needed to alleviate the high costs of such care. So far, potential solutions have focused on system-level interventions, with less consideration given to solutions at the patient level. This review argues that it is imperative to develop and support patient-level strategies that engage patients. Next, the review presents evidence of the interplay between patient preferences and values and the costs of cancer care. Finally, opportunities to enhance engagement and improve the economic experience of patients in oncology are discussed, including: shared decision-making and communication, financial navigation and treatment planning, digital technology and alternative care pathways, and value-based insurance design.

Recurrent Laryngeal Nerve Injury After Thyroid Surgery: An Analysis of 11,370 Patients.

BACKGROUND: Recurrent laryngeal nerve (RLN) injury is a well-known, potentially serious complication of thyroid surgery. We investigated factors associated with RLN injury during thyroid surgery using a multi-institutional data set. MATERIALS AND METHODS: Patients who underwent either lobectomy or total thyroidectomy were abstracted from the American College of Surgeons National Surgical Quality Improvement Program thyroidectomy-specific database (2016-2017). Baseline and operative factors associated with RLN injury ≤30 d of surgery were analyzed using bivariate and multivariate methods. Secondary complications of interest included unplanned reintubation and hypocalcemia. RESULTS: RLN injury occurred in 6.0% (n = 677) of the 11,370 patients included in the study. The RLN injury rate varied significantly based on the primary indication for surgery, from 4.3% in patients undergoing surgery for a single nodule to 9.0% in patients undergoing surgery for differentiated cancer (P < 0.01). RLN injury occurred more often in thyroidectomies than lobectomies (6.9% versus 4.3%, P < 0.01) and in surgeries without intraoperative nerve monitoring (6.5% versus 5.6%, P = 0.01). After multivariate adjustment, RLN injury was independently associated with age ≥65 y [odds ratio (OR) 1.6, 95% confidence interval (CI) 1.3-2.0], total thyroidectomy (OR = 1.4, 95% CI 1.1-1.6), and diagnosis of thyroid malignancy (OR = 2.1, 95% CI = 1.6-2.7) (all P < 0.001) but not intraoperative RLN monitoring (OR = 0.9, 95% CI = 0.7-1.0, P = 0.06). CONCLUSIONS: In this large multi-institutional study, RLN injury ≤30 d of surgery occurred in nearly 6% of thyroid surgeries. This comprehensive analysis of RLN injury can be used to guide informed consent discussions and aid surgeons in identifying candidates who may be at higher risk for injury.

Analysis of the health product pipeline for poverty-related and neglected diseases using the Portfolio-to-Impact (P2I) modeling tool.

Background: To estimate how much additional funding is needed for poverty-related and neglected disease (PRND) product development and to target new resources effectively, policymakers need updated information on the development pipeline and estimated costs to fill pipeline gaps. Methods: We previously conducted a pipeline review to identify candidates for 35 neglected diseases as of August 31, 2017 ("2017 pipeline"). We used the Portfolio-to-Impact (P2I) tool to estimate costs to move these candidates through the pipeline, likely launches, and additional costs to develop "missing products." We repeated this analysis, reviewing the pipeline to August 31, 2019 to get a time trend. We made a direct comparison based on the same 35 diseases ("2019 direct comparison pipeline"), then a comparison based on an expanded list of 45 diseases ("2019 complete pipeline"). Results: In the 2017 pipeline, 538 product candidates met inclusion criteria for input into the model; it would cost $16.3 billion (B) to move these through the pipeline, yielding 128 launches. In the 2019 direct comparison pipeline, we identified 690 candidates, an increase of 152 candidates from 2017; the largest increase was for Ebola.  The direct comparison 2019 pipeline yields 196 launches, costing $19.9B. In the 2019 complete pipeline, there were 754 candidates, an increase of 216 candidates from 2017, of which 152 reflected pipeline changes and 64 reflected changes in scope. The complete pipeline 2019 yields 207 launches, costing $21.0B. There would still be 16 "missing products" based on the complete 2019 pipeline; it would cost $5.5B-$14.2B (depending on product complexity) to develop these products. Conclusion: The PRNDs product development pipeline has grown by over a quarter in two years. The number of expected new product launches based on the 2019 pipeline increased by half compared to 2017; the cost of advancing the pipeline increased by a quarter.

Pipeline analysis of a vaccine candidate portfolio for diseases of poverty using the Portfolio-To-Impact modelling tool.

Background: The Portfolio-To-Impact (P2I) P2I model is a recently developed product portfolio tool that enables users to estimate the funding needs to move a portfolio of candidate health products, such as vaccines and drugs, along the product development path from late stage preclinical to phase III clinical trials, as well as potential product launches over time. In this study we describe the use of this tool for analysing the vaccine portfolio of the European Vaccine Initiative (EVI). This portfolio includes vaccine candidates for various diseases of poverty and emerging infectious diseases at different stages of development. Methods: Portfolio analyses were conducted using the existing assumptions integrated in the P2I tool, as well as modified assumptions for costs, cycle times, and probabilities of success based on EVI's own internal data related to vaccine development. Results: According to the P2I tool, the total estimated cost to move the 18 candidates currently in the EVI portfolio along the pipeline to launch would be about US $470 million, and there would be 0.69 cumulative expected launches during the period 2019-2031. Running of the model using EVI-internal parameters resulted in a significant increase in the expected product launches. Conclusions: The P2I tool's underlying assumptions could not be tested in our study due to lack of data available. Nevertheless, we expect that the accelerated clinical testing of vaccines (and drugs) based on the use of controlled human infection models that are increasingly available, as well as the accelerated approval by regulatory authorities that exists for example for serious conditions, will speed up product development and result in significant cost reduction. Project findings as well as potential future modifications of the P2I tool are discussed with the aim to improve the underlying methodology of the P2I model.

Future trajectories of urban drainage systems: A simple exploratory modeling approach for assessing socio-technical transitions.

In this work, we present a novel approach to explore future trajectories in urban drainage systems, emphasizing the adoption and implementation of sustainable 'nature-based' stormwater management strategies. The focus is on the development and long-term assessment of socio-technical pathways to create a multifunctional stormwater system at the city scale. The innovation is to identify and represent the socio-technical pathways by means of adoption curves for such transition processes. We combine urban planning policies and state-of-the-art urban engineering approaches with societal aspects and analyze them with traditional biophysical models (hydrologic-hydraulic sewer modeling). In doing so, different pathways from a current to a future system state are investigated under a variety of political, population and climate scenarios. Results allow for strategy screening by addressing the spatial and temporal implementation of decentralized stormwater control measures, to enable a successful transition to a sustainable future city. The model is applied to an ongoing transition of Kiruna, a city in Sweden, considering 36 different future trajectories over a transition period of 23 years. Results show that the trajectory of raingarden implementation under a sustainability policy can alleviate the adverse effects of urbanization (growth scenario). While this trajectory resulted in, for example, nearly the same sewer surcharge performance as that characterized by declining urbanization (stagnation) and a business-as-usual policy (with expected raingarden uptake rates approximately one-third lower), significantly better ecological performances (e.g. runoff treatment ratios up to 50%) are achieved.

The Emergency Department as an Opportunity for Naloxone Distribution.

INTRODUCTION: Substance use disorders, including opioid use disorders, are a major public health concern in the United States. Between 2005 and 2014, the rate of opioid-related emergency department (ED) visits nearly doubled, from 89.1 per 100,000 persons in 2005 to 177.7 per 100,000 persons in 2014. Thus, the ED presents a distinctive opportunity for harm-reduction strategies such as distribution of naloxone to patients who are at risk for an opioid overdose. METHODS: We conducted a systematic review of all existing literature related to naloxone distribution from the ED. We included only those articles published in peer-reviewed journals that described results relating to naloxone distribution from the ED. RESULTS: Of the 2,286 articles we identified from the search, five met the inclusion criteria and had direct relevance to naloxone distribution from the ED setting. Across the studies, we found variation in the methods of implementation and evaluation of take-home naloxone programs in the ED. In the three studies that attempted patient follow-up, success was low, limiting the evidence for the programs' effectiveness. Overall, in the included studies there is evidence that distributing take-home naloxone from the ED has the potential for harm reduction; however, the uptake of the practice remained low. Barriers to implementation included time allocated for training hospital staff and the burden on workflow. CONCLUSION: This systematic review of the best evidence available supports the ED as a potential setting for naloxone distribution for overdose reversal in the community. The variability of the implementation methods across the studies highlights the need for future research to determine the most effective practices.

Developing new health technologies for neglected diseases: a pipeline portfolio review and cost model.

Background: Funding for neglected disease product development fell from 2009-2015, other than a brief injection of Ebola funding. One impediment to mobilizing resources is a lack of information on product candidates, the estimated costs to move them through the pipeline, and the likelihood of specific launches. This study aimed to help fill these information gaps. Methods: We conducted a pipeline portfolio review to identify current candidates for 35 neglected diseases. Using an adapted version of the Portfolio to Impact financial modelling tool, we estimated the costs to move these candidates through the pipeline over the next decade and the likely launches. Since the current pipeline is unlikely to yield several critical products, we estimated the costs to develop a set of priority "missing" products. Results: We found 685 neglected disease product candidates as of August 31, 2017; 538 candidates met inclusion criteria for input into the model. It would cost about $16.3 billion (range $13.4-19.8B) to move these candidates through the pipeline, with three-quarters of the costs incurred in the first 5 years, resulting in about 128 (89-160) expected product launches.  Based on the current pipeline, there would be few launches of complex new chemical entities; launches of highly efficacious HIV, tuberculosis, or malaria vaccines would be unlikely. Estimated additional costs to launch one of each of 18 key missing products are $13.6B assuming lowest product complexity or $21.8B assuming highest complexity ($8.1B-36.6B). Over the next 5 years, total estimated costs to move current candidates through the pipeline and develop these 18 missing products would be around $4.5B (low complexity missing products) or $5.8B/year (high complexity missing products). Conclusions: Since current annual global spending on product development is about $3B, this study suggests the annual funding gap over the next 5 years is at least $1.5-2.8B.

Funding global health product R&D: the Portfolio-To-Impact Model (P2I), a new tool for modelling the impact of different research portfolios.

Background: The Portfolio-To-Impact (P2I) Model is a novel tool, developed to estimate minimum funding needs to accelerate health product development from late stage preclinical study to phase III clinical trials, and to visualize potential product launches over time. Methods: A mixed methods approach was used. Assumptions on development costs at each phase were based on clinical trial costs from Parexel's R&D cost sourcebook. These were further refined and validated by interviews, with a wide variety of stakeholders from Product Development Partnerships, biopharmaceutical and diagnostic companies, and major funders of global health R&D. Results: the tool was used to create scenarios describing the impact, in terms of products developed, of different product portfolios with funding ranging from $1 million per annum through to $500 million per annum. These scenarios for a new global financing mechanism have been previously presented in a report setting out the potential for a new fund for research and development which would assist in accelerating product development for the diseases of poverty.  Conclusion: The P2I tool does enable a user to model different scenarios in terms of cost and number of health products launched when applied to a portfolio of health products.  The model is published as open access accompanied with a user guide.  The design allows it to be adapted and used for other health R&D portfolio analysis as described in an accompanying publication focussing on the pipeline for neglected diseases in 2017. We aim to continually refine and improve the model and we ask users to provide us with their own inputs that can help us update key parameters and assumptions.  We hope to catalyse users to adapt the model in ways that can increase its value, accuracy, and applications.