How much does TB screening cost? A systematic review of economic evaluations

BACKGROUND: Systematic screening for TB has been recommended as a method to control TB on a global level; however, this involves significant costs that place a burden on the health system.METHODS: We conducted a systematic review of the existing economic literature on systematic screening for TB to summarise costs, cost-effectiveness and affordability, and the key factors that influence costs and cost-effectiveness. Specific populations of interest included the general population, children and close contacts of TB patients.RESULTS: We identified 21 studies that provided both cost and outcome data on TB screening among the populations of interest. All were from low- and middle-income settings. Studies were heterogenous in the intervention, and included costs and reported outcomes. The incremental cost-effectiveness ratio (ICER) estimates ranged from USD281 to USD698 per disability-adjusted life-year (DALY) averted among the general population, USD619/DALY averted among children and USD372–3,718/DALY averted among close contacts.CONCLUSION: Prevalence of TB among targeted high-risk groups was identified across the majority of studies as a driver of cost-effectiveness. The heterogeneity of the included costs and outcomes across the economic literature for systematic screening suggests a need for standardisation of included cost components and key economic evaluation methods to improve comparability and generalisability of results.

Clinical and economic aspects of the use of OneTouch glucose meters for the screening of diabetes mellitus

Diabetes is increasingly widespread in the Russian Federation. It is a severe chronic disease that both independently reduces quality of life and causes exacerbation of other pathologies. This makes evaluation of quality of diabetes management and understanding of clinical and economic properties of various technologies used to screen blood glucose levels, including portable blood glucose meters. Previously there already were clinical-economic evaluations of blood glucose meters within context of Russian Federation but they have not included modern high-precision equipment, thus ensuring attractiveness of current research effort into HTA of modern blood glucose meters that accounts for real life hospital practice. Goal. To assess the clinic-economic properties of modern blood glucose portable measurement systems of OneTouch family and the real-world practics of their use in Russian healthcare facilities. Methodology. The research was performed from the perspective of the Russian healthcare system. Target population was represented by a virtual cohort of 100 patients. Only direct costs were accounted for, specifically all costs caused by consumables involved in operating multifunctional laboratory complexes and all consumables involved in operating portable glucose meters. Employee salaries were also included (accounting for number of personnel involved in different procedures as based on a real clinical practice survey performed as part of this research). Since it is known that modern, standard-compliant portable glucose meters have an accuracy that is more than sufficient for routine screening, cost minimization analysis was used for assessment of economic effects when comparing different approaches to organizing glucose level screening. Research results. The survey during this research effort has indicated that not all medical facilities utilize “tandem usage” of multifunction laboratory complexes and portable glucose meters, however, such “tandem use” is the most widespread approach to organizing blood glucose screening. Cost minimization analysis has demonstrated that “tandem usage” is also the most economically attractive approach and results in cost savings for the medical facility. Conclusions. Current research effort which included cost analysis and cost minimization analysis has demonstrated that “tandem usage” approach which involves combined use of both multifunction laboratory complexes and portable glucose meter systems has substantial economic advantage (over 60 % for analysis with 5 year time horizon). Multiple sensitivity analyses have confirmed robustness of this result. This research further establishes the importance of communicating advantages of modern portable glucose meters to healthcare organizers since this technology is not only clinically rational but also economically optimal.

Newborn Screening for the Detection of the TP53 R337H Variant and Surveillance for Early Diagnosis of Pediatric Adrenocortical Tumors: Lessons Learned and Way Forward

The incidence of pediatric adrenocortical tumors (ACT) is high in southern Brazil due to the founder TP53 R337H variant. Neonatal screening/surveillance (NSS) for this variant resulted in early ACT detection and improved outcomes. The medical records of children with ACT who did not participate in newborn screening (non-NSS) were reviewed (2012–2018). We compared known prognostic factors between the NSS and non-NSS cohorts and estimated surveillance and treatment costs. Of the 16 non-NSS children with ACT carrying the R337H variant, the disease stages I, II, III, and IV were observed in five, five, one, and five children, respectively. The tumor weight ranged from 22 to 608 g. The 11 NSS children with ACT all had disease stage I and were alive. The median tumor weight, age of diagnosis, and interval between symptoms and diagnosis were 21 g, 1.9 years, and two weeks, respectively, for the NSS cohort and 210 g, 5.2 years, and 15 weeks, respectively, for the non-NSS cohort. The estimated surveillance/screening cost per year of life saved is US$623/patient. NSS is critical for improving the outcome of pediatric ACT in this region. Hence, we strongly advocate for the inclusion of R337H in the state-mandated universal screening and surveillance.

NeoSeq: a new method of genomic sequencing for newborn screening

Objective To explore the clinical application of NeoSeq in newborn screening. Methods Based on the results obtained from traditional newborn screening (NBS) with tandem mass spectrometry (TMS), three cohorts were recruited into the present study: 36 true positive cases (TPC), 60 false-positive cases (FPC), and 100 negative cases. The dried blood spots of the infants were analyzed with NeoSeq, which is based on multiplex PCR amplicon sequencing. Results Overall, the sensitivity of NeoSeq was 55.6% (20/36) in the detection of TPC. NeoSeq detected disease-related genes in 20 of 36 TPC infants, while it could not identify these genes in eight children. Five cases (3.1%) with disease risk were additionally found in the FPC and NC cohorts. There was a significant difference in the diagnostic time between the two methods—10 days for NeoSeq vs. 43 days for traditional NBS. Conclusions NeoSeq is an economic genomic screening test for newborn screening. It can detect most inborn errors of metabolism, reduce the rate of false positive results, shorten the porting cycles, and reduce the screening cost. However, it is still necessary to further optimize the panel design and add more clinically relevant genomic variants to increase its sensitivity.

The implementation of colorectal cancer screening interventions in low-and middle-income countries: a scoping review

Background Low- and middle-income countries (LMICs) experienced increasing rates of colorectal cancer (CRC) incidence in the last decade and lower 5-year survival rates compared to high-income countries (HICs) where the implementation of screening and treatment services have advanced. This review scoped and mapped the literature regarding the content, implementation and uptake of CRC screening interventions as well as opportunities and challenges for the implementation of CRC screening interventions in LMICs. Methods We systematically followed a five-step scoping review framework to identify and review relevant literature about CRC screening in LMICs, written in the English language before February 2020. We searched Medline, Embase, Web of Science and Google Scholar for studies targeting the general, asymptomatic, at-risk adult population. The TIDieR tool and an implementation checklist were used to extract data from empirical studies; and we extracted data-informed insights from policy reviews and commentaries. Results CRC screening interventions (n = 24 studies) were implemented in nine middle-income countries. Population-based screening programmes (n = 11) as well as small-scale screening interventions (n = 13) utilised various recruitment strategies. Interventions that recruited participants face-to-face (alone or in combination with other recruitment strategies) (10/15), opportunistic clinic-based screening interventions (5/6) and educational interventions combined with screening (3/4), seemed to be the strategies that consistently achieved an uptake of > 65% in LMICs. FOBT/FIT and colonoscopy uptake ranged between 14 and 100%. The most commonly reported implementation indicator was ‘uptake/reach’. There was an absence of detail regarding implementation indicators and there is a need to improve reporting practice in order to disseminate learning about how to implement programmes. Conclusion Opportunities and challenges for the implementation of CRC screening programmes were related to the reporting of CRC cases and screening, cost-effective screening methods, knowledge about CRC and screening, staff resources and training, infrastructure of the health care system, financial resources, public health campaigns, policy commitment from governments, patient navigation, planning of screening programmes and quality assurance.

Cost-effectiveness and budget impact analyses of dengue vaccination in Indonesia

Despite the fact that the incidence and mortality rates due to dengue virus (DENV) infection in Indonesia are relatively high, dengue vaccination has not yet been introduced. This study aimed to analyse the cost-effectiveness and the budget impact of dengue vaccination in Indonesia by taking the potential of pre-vaccination screening into account. An age-structured decision tree model was developed to assess the cost-effectiveness value by applying a single cohort of 4,710,100 children that was followed-up in a 10-year time horizon within a 1-year analytical cycle. The budget impact was analysed in a 5-year period (2020–2024) by considering provinces’ readiness to introduce dengue vaccine and their incidence rate of DENV infection in the last 10 years. Vaccination that was coupled with pre-vaccination screening would reduce dengue fever (DF), dengue haemorrhagic fever (DHF) and dengue shock syndrome (DSS) by 188,142, 148,089 and 426 cases, respectively. It would save treatment cost at $23,433,695 and $14,091,642 from the healthcare and payer perspective, respectively. The incremental cost-effectiveness ratios (ICERs) would be $5,733 and $5,791 per quality-adjusted-life-year (QALY) gained from both perspectives. The most influential parameters affecting the ICERs were probability of DENV infection, vaccine efficacy, under-reporting factor, vaccine price, case fatality rate and screening cost. It can be concluded that dengue vaccination and pre-vaccination screening would be cost-effective to be implemented in Indonesia. Nevertheless, it seems unaffordable to be implemented since the total required cost for the nationwide vaccination would be 94.44% of routine immunization budget.

NeoSeq: A New Method of Genomic Sequencing for Newborn Screening

Objective To explore the clinical application of NeoSeq in newborn screening. Methods Based on the results obtained from traditional newborn screening (NBS), three cohorts were recruited into the present study: 36 true positive cases (TPC), 60 false-positive cases (FPC), and 100 negative cases. The dried blood spots of the infants were analyzed with NeoSeq, which is based on multiplex PCR amplicon sequencing. Results Overall, the sensitivity of both NeoSeq and traditional NBS projects was 55.6% (20/36) in the detection of TPC. NeoSeq detected disease-related genes in 20 of 36 TPC infants, while it could not identify these genes in eight children. Five cases (3.1%) with disease risk were found in the FPC and NC cohorts. There was a significant time difference in the diagnostic result cycles between the two methods − 10 days for NeoSeq vs. 43 days for traditional NBS. Conclusions NeoSeq is an effective method of genomic sequencing for newborn screening. It can detect most inborn errors of metabolism, reduce the rate of false positive results, shorten the reporting cycles, and reduce the screening cost.

Optimizing risk-based breast cancer screening policies with reinforcement learning

Screening programs must balance the benefits of early detection against the costs of over screening. Achieving this goal relies on two complementary technologies: (1) the ability to assess patient risk, (2) the ability to develop personalized screening programs given that risk. While methodologies for assessing patient risk have significantly improved with new advances in deep learning applied to imaging and genetics, our ability to personalize screening policies still lags behind. Here, we introduce a novel reinforcement learning-based framework for personalized screening, Tempo, and demonstrate its efficacy in the context of breast cancer. We trained our risk-based screening policies on a large screening mammography dataset from Massachusetts General Hospital (MGH) USA and validated them on held-out patients from MGH, and on external datasets from Emory USA, Karolinska Sweden and Chang Gung Memorial Hospital (CGMH) Taiwan. Across all test sets, we found that a Tempo policy combined with an image-based AI risk model was significantly more efficient than current regimes used in clinical practice in terms of simulated early detection per screen frequency. Moreover, we showed that the same Tempo policy can be easily adapted to a wide range of possible screening preferences, allowing clinicians to select their desired early detection to screening cost trade-off without training a new policy. Finally, we demonstrated Tempo policies based on AI-based risk models out performed Tempo policies based on less accurate clinical risk models. Altogether, our results show that pairing AI-based risk models with agile AI-designed screening policies has the potential to improve screening programs, advancing early detection while reducing over-screening.