Blood Demand Forecasting and Supply Management: An Analytical Assessment of Key Studies Utilizing Novel Computational Techniques.

Use of data-driven methodologies in enhancing blood transfusion practices is rising, leveraging big data, machine learning, and optimization techniques to improve demand forecasting and supply chain management. This review used a narrative approach to identify, evaluate, and synthesize key studies that considered novel computational techniques for blood demand forecasting and inventory management through a search of PubMed and Web of Sciences databases for studies published from January 01, 2016, to March 30, 2023. The studies were analyzed for their utilization of various techniques, and their strengths, limitations, and areas for improvement. Seven key studies were identified. The studies focused on different blood components using various computational methods, such as regression, machine learning, hybrid models, and time series models, across different locations and time periods. Key variables used for demand forecasting were largely derived from electronic health record data, including clinical related predictors such as laboratory test results and hospital census by location. Each study offered unique strengths and valuable insights into the use of data-driven methods in blood bank management. Common limitations were unknown generalizability to other healthcare settings or blood components, need for field-specific performance measures, lack of ABO compatibility consideration, and ethical challenges in resource allocation. While data-driven research in blood demand forecasting and management has progressed, limitations persist and further exploration is needed. Understanding these innovative, interdisciplinary methods and their complexities can help refine inventory strategies and address healthcare challenges more effectively, leading to more robust, accurate models to enhance blood management across diverse healthcare scenarios.

Factors Associated With Abrupt Discontinuation of Long-Term High-Dose Opioid Treatment.

This cohort study investigates factors associated with abrupt discontinuation of long-term high-dose opioid treatment at the national level and across US states.

Cost-effectiveness of Increasing Buprenorphine Treatment Initiation, Duration, and Capacity Among Individuals Who Use Opioids.

Importance: Buprenorphine is an effective and cost-effective medication to treat opioid use disorder (OUD), but is not readily available to many people with OUD in the US. The current cost-effectiveness literature does not consider interventions that concurrently increase buprenorphine initiation, duration, and capacity. Objective: To conduct a cost-effectiveness analysis and compare interventions associated with increased buprenorphine treatment initiation, duration, and capacity. Design and Setting: This study modeled the effects of 5 interventions individually and in combination using SOURCE, a recent system dynamics model of prescription opioid and illicit opioid use, treatment, and remission, calibrated to US data from 1999 to 2020. The analysis was run during a 12-year time horizon from 2021 to 2032, with lifetime follow-up. A probabilistic sensitivity analysis on intervention effectiveness and costs was conducted. Analyses were performed from April 2021 through March 2023. Modeled participants included people with opioid misuse and OUD in the US. Interventions: Interventions included emergency department buprenorphine initiation, contingency management, psychotherapy, telehealth, and expansion of hub-and-spoke narcotic treatment programs, individually and in combination. Main Outcomes and Measures: Total national opioid overdose deaths, quality-adjusted life years (QALYs) gained, and costs from the societal and health care perspective. Results: Projections showed that contingency management expansion would avert 3530 opioid overdose deaths over 12 years, more than any other single-intervention strategy. Interventions that increased buprenorphine treatment duration initially were associated with an increased number of opioid overdose deaths in the absence of expanded treatment capacity. With an incremental cost- effectiveness ratio of $19 381 per QALY gained (2021 USD), the strategy that expanded contingency management, hub-and-spoke training, emergency department initiation, and telehealth was the preferred strategy for any willingness-to-pay threshold from $20 000 to $200 000/QALY gained, as it was associated with increased treatment duration and capacity simultaneously. Conclusion and Relevance: This modeling analysis simulated the effects of implementing several intervention strategies across the buprenorphine cascade of care and found that strategies that were concurrently associated with increased buprenorphine treatment initiation, duration, and capacity were cost-effective.

Racial and Ethnic Disparities in Buprenorphine Treatment Duration in the US.

This cohort study examines racial and ethnic differences in the duration of buprenorphine treatment for opioid use disorder in the US from 2006 to 2020.

Individualized risk trajectories for iron-related adverse outcomes in repeat blood donors.

BACKGROUND: Despite a fingerstick hemoglobin requirement and 56-day minimum donation interval, repeat blood donation continues to cause and exacerbate iron deficiency. STUDY DESIGN AND METHODS: Using data from the REDS-II Donor Iron Status Evaluation study, we developed multiclass prediction models to estimate the competing risk of hemoglobin deferral and collecting blood from a donor with sufficient hemoglobin but low or absent underlying iron stores. We compared models developed with and without two biomarkers not routinely measured in most blood centers: ferritin and soluble transferrin receptor. We generated and analyzed "individual risk trajectories": estimates of how each donors' risk developed as a function of the time interval until their next donation attempt. RESULTS: With standard biomarkers, the top model had a multiclass area under the receiver operator characteristic curve (AUC) of 77.6% (95% CI [77.3%-77.8%]). With extra biomarkers, multiclass AUC increased to 82.8% (95% CI [82.5%-83.1%]). In the extra biomarkers model, ferritin was the single most important variable, followed by the donation interval. We identified three risk archetypes: "fast recoverers" (<10% risk of any adverse outcome on post-donation day 56), "slow recoverers" (>60% adverse outcome risk on day 56 that declines to <35% by day 250), and "chronic high-risk" (>85% risk of the adverse outcome on day 250). DISCUSSION: A longer donation interval reduced the estimated risk of iron-related adverse outcomesfor most donors, but risk remained high for some. Tailoring safeguards to individual risk estimates could reduce blood collections from donors with low or absent iron stores.

Cost-effectiveness and budget impact of whole blood pathogen reduction in Ghana.

BACKGROUND: Despite the promise of pathogen reduction for reducing transfusion-associated adverse events in sub-Saharan Africa, no health-economic assessment is publicly available. STUDY DESIGN AND METHODS: We developed a mathematical risk reduction model to estimate the impact of nationwide whole blood pathogen reduction in Ghana on the incidence of six infectious and one non-infectious transfusion-associated adverse events. We estimated the lifetime direct healthcare costs and disability-adjusted life years lost for each adverse event. For HIV, HCV, and HBV, we simulated disease progression using Markov models, accounting for the likelihood and timing of clinical detection and treatment. We performed probabilistic and univariate sensitivity analysis. RESULTS: Adding whole blood pathogen reduction to Ghana's blood safety portfolio would avert an estimated 19,898 (11,948-27,353) adverse events and 38,491 (16,444-67,118) disability-adjusted life years annually, primarily by averting sepsis (49%) and malaria (31%) infections. One year of pathogen reduction would cost an estimated $8,037,191 ($6,381,946-$9,880,760) and eliminate $8,656,389 ($4,462,614-$13,469,448) in direct healthcare spending on transfusion-associated adverse events. We estimate a 58% probability that the addition of pathogen reduction would reduce overall direct healthcare spending. Findings were most sensitive to uncertainty in the probability that a bacterially contaminated blood donation causes sepsis. CONCLUSION: Whole blood pathogen reduction would substantially reduce the burden of known transfusion-associated adverse events in Ghana and may reduce overall healthcare spending. Additional benefits not captured by this analysis may include averting secondary transmission of infectious diseases, reducing non-medical costs, and averting new or re-emerging transfusion-transmitted infections.

Optimal portfolios of blood safety interventions: test, defer or modify?

A safe supply of blood for transfusion is a critical component of the healthcare system in all countries. Most health systems manage the risk of transfusion-transmissible infections (TTIs) through a portfolio of blood safety interventions. These portfolios must be updated periodically to reflect shifting epidemiological conditions, emerging infectious diseases, and new technologies. However, the number of available blood safety portfolios grows exponentially with the number of available interventions, making it impossible for policymakers to evaluate all feasible portfolios without the assistance of a computer model. We develop a novel optimization model for evaluating blood safety portfolios that enables systematic comparison of all feasible portfolios of deferral, testing, and modification interventions to identify the portfolio that is preferred from a cost-utility perspective. We present structural properties that reduce the state space and required computation time in certain cases, and we develop a linear approximation of the model. We apply the model to retrospectively evaluate U.S. blood safety policies for Zika and West Nile virus for the years 2017, 2018, and 2019, defining donor groups based on season and geography. We leverage structural properties to efficiently find an optimal solution. We find that the optimal portfolio varies geographically, seasonally, and over time. Additionally, we show that for this problem the approximated model yields the same optimal solution as the exact model. Our method enables systematic identification of the optimal blood safety portfolio in any setting and any time period, thereby supporting decision makers in efforts to ensure the safety of the blood supply.

Factors driving availability of COVID-19 convalescent plasma: Insights from a demand, production, and supply model.

BACKGROUND: COVID-19 Convalescent Plasma (CCP) is a promising treatment for COVID-19. Blood collectors have rapidly scaled up collection and distribution programs. METHODS: We developed a detailed simulation model of CCP donor recruitment, collection, production, and distribution processes. We ran our model using varying epidemic trajectories from 11 U.S. states and with key input parameters drawn from wide ranges of plausible values to identify key drivers of ability to scale collections capacity and meet demand for CCP. RESULTS: Utilization of available CCP collections capacity followed increases in COVID-19 hospital discharges with a lag. Utilization never exceeded 75% of available capacity in most simulations. Demand was met for most of the simulation period in most simulations, but a substantial portion of demand went unmet during early, sharp increases in hospitalizations. For epidemic trajectories that included multiple epidemic peaks, second wave demand could generally be met due to stockpiles established during the decline from an earlier peak. Apheresis machine capacity (number of machines) and probability that COVID-19 recovered individuals are willing to donate were the most important supply-side drivers of ability to meet demand. Recruitment capacity was important in states with early peaks. CONCLUSIONS: Epidemic trajectory was the most important determinant of ability to meet demand for CCP, although our simulations revealed several contributing operational drivers of CCP program success.

Baseline creatinine determination method impacts association between acute kidney injury and clinical outcomes.

BACKGROUND: Current consensus definition for acute kidney injury (AKI) does not specify how baseline serum creatinine should be determined. We assessed how baseline determination impacted AKI incidence and association between AKI and clinical outcomes. METHODS: We retrospectively applied empirical (measured serum creatinine) and imputed (age/height) baseline estimation methods to pediatric patients discharged between 2014 and 2019 from an academic hospital. Using each method, we estimated AKI incidence and assessed area under ROC curve (AUROC) for AKI as a predictor of three clinical outcomes: application of AKI billing code (proxy for more clinically overt disease), inpatient mortality, and post-hospitalization chronic kidney disease. RESULTS: Incidence was highly variable across baseline methods (12.2-26.7%). Incidence was highest when lowest pre-admission creatinine was used if available and Schwartz bedside equation was used to impute one otherwise. AKI was more predictive of application of an AKI billing code when baseline was imputed universally, regardless of pre-admission values (AUROC 80.7-84.9%) than with any empirical approach (AUROC 64.5-76.6%). AKI was predictive of post-hospitalization CKD when using universal imputation baseline methods (AUROC 67.0-74.6%); AKI was not strongly predictive of post-hospitalization CKD when using empirical baseline methods (AUROC 46.4-58.5%). Baseline determination method did not affect the association between AKI and inpatient mortality. CONCLUSIONS: Method of baseline determination influences AKI incidence and association between AKI and clinical outcomes, illustrating the need for standard criteria. Imputing baseline for all patients, even when preadmission creatinine is available, may identify a more clinically relevant subset of the disease.

Dépistage actif chez les groupes courant un risque accru de contracter le SRAS-CoV-2 au Canada : coûts et ressources humaines nécessaires.

CONTEXTE: Le dépistage du coronavirus du syndrome respiratoire aigu sévère 2 (SRAS-CoV-2) est en grande partie passif, ce qui nuit au contrôle de l'épidémie. Nous avons élaboré des stratégies de dépistage actif du SRAS-CoV-2 au moyen d'une amplification en chaîne par polymérase couplée à une transcription inverse (RT-PCR) chez les groupes courant un risque accru de contracter le virus dans les provinces canadiennes. MÉTHODES: Nous avons identifié 5 groupes qui devraient être prioritaires pour le dépistage actif au moyen d'une RTPCR, soit les gens ayant été en contact avec une personne infectée par le SRAS-CoV-2 et ceux qui appartiennent à 4 populations à risque : employés d'hôpitaux, travailleurs en soins de santé communautaires ainsi qu'employés et résidents d'établissements de soins de longue durée, employés d'entreprises essentielles, et élèves et personnel scolaire. Nous avons estimé les coûts, les ressources humaines et la capacité de laboratoire nécessaires au dépistage des membres de ces groupes ou au dépistage sur des échantillons aléatoires aux fins de surveillance. RÉSULTATS: Du 8 au 17 juillet 2020, 41 751 dépistages par RT-PCR étaient réalisés chaque jour en moyenne dans les provinces canadiennes; nous avons estimé que ces tests mobilisaient 5122 employés et coûtaient 2,4 millions de dollars par jour (67,8 millions de dollars par mois). La recherche et le dépistage systématiques des contacts requerraient 1,2 fois plus de personnel et porteraient les coûts mensuels à 78,9 millions de dollars. S'il était réalisé en 1 mois, le dépistage de tous les employés des hôpitaux nécessiterait 1823 travailleurs supplémentaires et coûterait 29,0 millions de dollars. Pour la même période de temps, le dépistage de tous les travailleurs en soins de santé communautaires et de tous les employés et résidents des établissements de soins de longue durée nécessiterait 11 074 employés supplémentaires et coûterait 124,8 millions de dollars, et celui de tous les travailleurs essentiels nécessiterait 25 965 employés supplémentaires et coûterait 321,7 millions de dollars. Enfin, le dépistage sur 6 semaines de la population scolaire nécessiterait 46 368 employés supplémentaires et coûterait 816,0 millions de dollars. Les interventions visant à pallier les inefficacités, comme le dépistage à partir d'échantillons de salive et le regroupement des échantillons, pourraient réduire les coûts de 40 % et les besoins en personnel, de 20 %. Le dépistage de surveillance sur des échantillons de la population autre que les contacts coûterait 5 % des coûts associés à l'adoption d'une approche universelle de dépistage auprès des populations à risque. INTERPRÉTATION: Le dépistage actif des groupes courant un risque accru de contracter le SRAS-CoV-2 semble faisable et favoriserait la réouverture sûre et à grande échelle de l'économie et des écoles. Cette stratégie semble également abordable lorsque comparée aux 169,2 milliards de dollars versés par le gouvernement fédéral dans la lutte contre la pandémie en date de juin 2020.

Active testing of groups at increased risk of acquiring SARS-CoV-2 in Canada: costs and human resource needs.

BACKGROUND: Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is largely passive, which impedes epidemic control. We defined active testing strategies for SARS-CoV-2 using reverse transcription polymerase chain reaction (RT-PCR) for groups at increased risk of acquiring SARS-CoV-2 in all Canadian provinces. METHODS: We identified 5 groups who should be prioritized for active RT-PCR testing: contacts of people who are positive for SARS-CoV-2, and 4 at-risk populations - hospital employees, community health care workers and people in long-term care facilities, essential business employees, and schoolchildren and staff. We estimated costs, human resources and laboratory capacity required to test people in each group or to perform surveillance testing in random samples. RESULTS: During July 8-17, 2020, across all provinces in Canada, an average of 41 751 RT-PCR tests were performed daily; we estimated this required 5122 personnel and cost $2.4 million per day ($67.8 million per month). Systematic contact tracing and testing would increase personnel needs 1.2-fold and monthly costs to $78.9 million. Conducted over a month, testing all hospital employees would require 1823 additional personnel, costing $29.0 million; testing all community health care workers and persons in long-term care facilities would require 11 074 additional personnel and cost $124.8 million; and testing all essential employees would cost $321.7 million, requiring 25 965 added personnel. Testing the larger population within schools over 6 weeks would require 46 368 added personnel and cost $816.0 million. Interventions addressing inefficiencies, including saliva-based sampling and pooling samples, could reduce costs by 40% and personnel by 20%. Surveillance testing in population samples other than contacts would cost 5% of the cost of a universal approach to testing at-risk populations. INTERPRETATION: Active testing of groups at increased risk of acquiring SARS-CoV-2 appears feasible and would support the safe reopening of the economy and schools more broadly. This strategy also appears affordable compared with the $169.2 billion committed by the federal government as a response to the pandemic as of June 2020.

Clipping Over the Scope for Recurrent Peptic Ulcer Bleeding is Cost-Effective as Compared to Standard Therapy: An Initial Assessment.

Clipping over the scope (C-OTS) is a novel closure technique used for the treatment of nonvariceal gastrointestinal bleeding, especially for high-risk lesions. C-OTS devices cost more than clipping through the scope and thermal devices. The high upfront cost of C-OTS may pose a barrier to its use and the cost-effectiveness of C-OTS for peptic ulcer disease bleeding is unknown. Cost-effectiveness studies of C-OTS for peptic ulcer bleeding as both first-line and second-line therapy can provide the current estimate of the conditions in which the use of C-OTS is cost-effective and give insights of the determinants to the cost-effectiveness of C-OTS.

Cost Effectiveness of Endoscopic Resection vs Transanal Resection of Complex Benign Rectal Polyps.

BACKGROUND & AIMS: Complex benign rectal polyps can be managed with transanal surgery or with endoscopic resection (ER). Though the complication rate after ER is lower than transanal surgery, recurrence is higher. Patients lost to follow up after ER might therefore be at increased risk for rectal cancer. We evaluated the costs, benefits, and cost effectiveness of ER compared to 2 surgical techniques for removing complex rectal polyps, using a 50-year time horizon-this allowed us to capture rates of cancer development among patients lost from follow-up surveillance. METHODS: We created a Markov model to simulate the lifetime outcomes and costs of ER, transanal endoscopic microsurgery (TEM), and transanal minimally invasive surgery (TAMIS) for the management of a complex benign rectal polyp. We assessed the effect of surveillance by allowing a portion of the patients to be lost to follow up. We calculated the cost, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio or each intervention over a 50-year time horizon. RESULTS: We found that TEM was slightly more effective than TAMIS and ER (TEM, 19.54 QALYs; TAMIS, 19.53 QALYs; and ER, 19.53 QALYs), but ER had a lower lifetime discounted cost (ER cost $7161, TEM cost $10,459, and TAMIS cost $11,253). TEM was not cost effective compared to ER, with an incremental cost-effectiveness ratio of $485,333/QALY. TAMIS was dominated by TEM. TEM became cost effective when the mortality from ER exceeded 0.63%, or if the loss to follow up rate exceeded 25.5%. CONCLUSIONS: Using a Markov model, we found that ER, TEM, and TAMIS have similar effectiveness, but ER is less expensive, in management of benign rectal polyps. As the rate of loss to follow up increases, transanal surgery becomes more effective relative to ER.

Screening the Blood Supply for Zika Virus in the 50 U.S. States and Puerto Rico: A Cost-Effectiveness Analysis.

Background: In 2016, universal individual donation nucleic acid testing (ID-NAT) of donated blood for Zika virus began in U.S. states and territories. Objective: To assess the cost-effectiveness of universal ID-NAT in the first year of screening compared with alternatives for the 50 states and separately for Puerto Rico. Design: Microsimulation that captured Zika-related harms to transfusion recipients, sexual partners, and their infants. Data Sources: National testing results compiled by AABB and costs, utilities, and outcome probabilities estimated from the literature. Target Population: Transfusion recipients. Time Horizon: Lifetime. Perspective: Societal. Intervention: Universal ID-NAT, universal mini-pool NAT (MP-NAT), and ID-NAT exclusively for components transfused to women of childbearing age. Seasonally targeted strategies in Puerto Rico and geographically targeted strategies in the 50 states were also considered. Outcome Measures: Costs, quality-adjusted life-years (QALYs), and outcomes. Results of Base-Case Analysis: In Puerto Rico, MP-NAT exclusively during high mosquito season was cost-effective at $81 123 per QALY (95% CI, -$49 138 to $978 242 per QALY). No screening policy was cost-effective in the 50 states. Universal ID-NAT cost $341 million per QALY (CI, $125 million to $2.90 billion per QALY) compared with no screening in the 50 states. Results of Sensitivity Analysis: In Puerto Rico, MP-NAT only during the season of high mosquito activity was most cost-effective in 64% of probabilistic sensitivity analysis iterations. In the 50 states, no intervention was cost-effective in 99.99% of iterations. Cost-effectiveness was highly dependent on the rate of assumed infectious donations. Limitation: Data were limited on the component-specific transmissibility of Zika and long-term sequelae of infection. Conclusion: Screening was cost-effective only in the high mosquito season in Puerto Rico, and no evaluated screening policy was cost-effective in the 50 states. During periods with lower rates of Zika-infectious donations, the cost-effectiveness of screening will be even less favorable. Primary Funding Source: None.