Accounting for Intergenerational Cascade Testing in Economic Evaluations of Clinical Genomics—A Scoping Review

2021 ◽  
Author(s):  
Jason Zischke ◽  
Nicole White ◽  
Louisa Gordon
Keyword(s):  
Scoping Review ◽  
Economic Evaluations ◽  
Clinical Genomics ◽  
Cascade Testing

scholarly journals Scoping review of economic evaluations of assistive technology globally

2021 ◽  
Vol 33 (sup1) ◽  
pp. 50-67
Author(s):  
Sarah Averi Albala ◽  
Frida Kasteng ◽  
Arne Henning Eide ◽  
Rainer Kattel
Keyword(s):  
Assistive Technology ◽  
Scoping Review ◽  
Economic Evaluations

scholarly journals Towards standardization of economic evaluation research in the youth psychosocial care sector: A broad consultation in the Netherlands

2020 ◽  
Vol 7 (1) ◽  
pp. 117-123
Author(s):  
Silvia M.A.A. Evers ◽  
Carmen D. Dircksen
Keyword(s):  
Economic Evaluation ◽  
The Netherlands ◽  
Scoping Review ◽  
Research Agenda ◽  
Outcome Measurement ◽  
Evaluation Research ◽  
Psychosocial Care ◽  
Psychosocial Interventions ◽  
Economic Evaluations ◽  
Long Run

Introduction: Stakeholders are increasingly interested in the societal impact of psychosocial interventions in the youth sector, in terms of costs and quality of life, as well as in outcomes research. The aim of this broad consultation was to reach consensus regarding the steps to be undertaken to set a research agenda for the Netherlands Organisation for Health Research and Development (ZonMw) programme. Methods: The broad consultation consisted of an eight-step procedure, including the conceptualization of a consultation document consisting of a scoping review of (mainly) international opinion/methodological literature and an inventory of existing Dutch guidelines and manuals for economic evaluation, a written consultation procedure among a broad range of stakeholders, and a consultation meeting with these stakeholders. Results: In total 21 documents were included in the scoping review. A total of 24 stakeholders participated in the written consultation procedure and 14 stakeholders during the consultation meeting. The methodological issues and challenges, which were ranked in the top 5 by the stakeholders, are (i) outcome measurement, (ii) outcome identification, (iii) cost valuation, (iv) outcome valuation, and (v) time horizon/analytical approach. The existing guidelines and manuals provided guidance for some, but not all, issues and challenges. Discussion and Conclusion: This broad consultation has contributed to a research agenda for the ZonMw programme, which will in the long run lead to the standardization of economic evaluations in this sector in the Netherlands and methodological improvement of economic evaluations in the Dutch youth sector.

scholarly journals The Methodological Quality and Challenges in Conducting Economic Evaluations of Newborn Screening: A Scoping Review

2020 ◽  
Vol 6 (4) ◽  
pp. 94
Author(s):  
Pasquale Cacciatore ◽  
Laurenske A. Visser ◽  
Nasuh Buyukkaramikli ◽  
Catharina P. B. van der Ploeg ◽  
M. Elske van den Akker-van Marle
Keyword(s):  
Resource Allocation ◽  
Cost Effectiveness ◽  
Newborn Screening ◽  
Scoping Review ◽  
Methodological Quality ◽  
Economic Evaluations ◽  
Screening Programs ◽  
Methodological Challenges ◽  
Life Years

Cost-effectiveness (CEA) and cost–utility analyses (CUA) have become popular types of economic evaluations (EE) used for evidence-based decision-making in healthcare resource allocation. Newborn screening programs (NBS) can have significant clinical benefits for society, and cost-effectiveness analysis may help to select the optimal strategy among different screening programs, including the no-screening option, on different conditions. These economic analyses of NBS, however, are hindered by several methodological challenges. This study explored the methodological quality in recent NBS economic evaluations and analyzed the main challenges and strategies adopted by researchers to deal with them. A scoping review was conducted according to PRISMA methodology to identify CEAs and CUAs of NBS. The methodological quality of the retrieved studies was assessed quantitatively using a specific guideline for the quality assessment of NBS economic evaluations, by calculating a general score for each EE. Challenges in the studies were then explored using thematic analysis as a qualitative synthesis approach. Thirty-five studies met the inclusion criteria. The quantitative analysis showed that the methodological quality of NBS economic evaluations was heterogeneous. Lack of clear description of items related to results, discussion, and discounting were the most frequent flaws. Methodological challenges in performing EEs of neonatal screenings include the adoption of a long time horizon, the use of quality-adjusted life years as health outcome measure, and the assessment of costs beyond the screening interventions. The results of this review can support future economic evaluation research, aiding researchers to develop a methodological guidance to perform EEs aimed at producing solid results to inform decisions for resource allocation in neonatal screening.

scholarly journals Economic Evaluations of Pathology Tests, 2010-2015: A Scoping Review

2017 ◽  
Vol 20 (8) ◽  
pp. 1210-1215 ◽  
Author(s):  
Rory D. Watts ◽  
Ian W. Li ◽  
Elizabeth A. Geelhoed ◽  
Frank M. Sanfilippo ◽  
Andrew St. John
Keyword(s):  
Scoping Review ◽  
Economic Evaluations

scholarly journals Mobile-Based Oral Chemotherapy Adherence–Enhancing Interventions: Scoping Review (Preprint)

2018 ◽  
Author(s):  
Xiomara Skrabal Ross ◽  
Kate M Gunn ◽  
Pandora Patterson ◽  
Ian Olver
Keyword(s):  
Medication Adherence ◽  
Mobile Phone ◽  
Cancer Patients ◽  
Chronic Diseases ◽  
Mobile Phones ◽  
Scoping Review ◽  
Text Messages ◽  
Oral Chemotherapy ◽  
Economic Evaluations ◽  
The Impact

BACKGROUND Adherence to oral chemotherapy is crucial to maximize treatment outcomes and avoid health complications in cancer patients. Mobile phones are widely available worldwide, and evidence that this technology can be successfully employed to increase medication adherence for the treatment of other chronic diseases (eg, diabetes) is well established. However, the extent to which there is evidence that mobile phone–based interventions improve adherence to oral chemotherapy is unknown. OBJECTIVE This scoping review aims to explore what is known about mobile phone–delivered interventions designed to enhance adherence to oral chemotherapy, to examine the reported findings on the utility of these interventions in increasing oral chemotherapy adherence, and to identify opportunities for development of future interventions. METHODS This study followed Arksey and O’Malley’s scoping review methodological framework. RESULTS The review search yielded 5 studies reporting on 4 interventions with adults (aged >18 years) diagnosed with diverse cancer types. All interventions were considered acceptable, useful, and feasible. The following themes were evident: text messages and mobile apps were the main methods of delivering these interventions, the 2 most commonly employed oral chemotherapy adherence–enhancing strategies were management and reporting of drug-related symptoms and reminders to take medication, the importance of stakeholders’ engagement in intervention design, and the overall positive perceptions of delivery features. Areas for future research identified by this review include the need for further studies to evaluate the impact of mobile phone–delivered interventions on adherence to oral chemotherapy as well as the relevance for future studies to incorporate design frameworks and economic evaluations and to explore the moderator effect of high anxiety, poor baseline adherence, and longer time taking prescribed drug on adherence to oral chemotherapy. CONCLUSIONS Despite the increasing body of evidence on the use of mobile phones to deliver medication adherence–enhancing interventions in chronic diseases, literature on the oral chemotherapy context is lacking. This review showed that existing interventions are highly acceptable and useful to cancer patients. The engagement of stakeholders as well as the use of a design framework are important elements in the development of mobile phone–delivered interventions that can be translated into oncology settings.

scholarly journals Economic evaluations of big data analytics for clinical decision-making: a scoping review

2020 ◽  
Vol 27 (9) ◽  
pp. 1466-1475
Author(s):  
Lytske Bakker ◽  
Jos Aarts ◽  
Carin Uyl-de Groot ◽  
William Redekop
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Economic Impact ◽  
Scoping Review ◽  
Data Analytics ◽  
Clinical Decision Making ◽  
Big Data Analytics ◽  
Clinical Decision ◽  
Economic Evaluations ◽  
Definition Of

Abstract Objective Much has been invested in big data analytics to improve health and reduce costs. However, it is unknown whether these investments have achieved the desired goals. We performed a scoping review to determine the health and economic impact of big data analytics for clinical decision-making. Materials and Methods We searched Medline, Embase, Web of Science and the National Health Services Economic Evaluations Database for relevant articles. We included peer-reviewed papers that report the health economic impact of analytics that assist clinical decision-making. We extracted the economic methods and estimated impact and also assessed the quality of the methods used. In addition, we estimated how many studies assessed “big data analytics” based on a broad definition of this term. Results The search yielded 12 133 papers but only 71 studies fulfilled all eligibility criteria. Only a few papers were full economic evaluations; many were performed during development. Papers frequently reported savings for healthcare payers but only 20% also included costs of analytics. Twenty studies examined “big data analytics” and only 7 reported both cost-savings and better outcomes. Discussion The promised potential of big data is not yet reflected in the literature, partly since only a few full and properly performed economic evaluations have been published. This and the lack of a clear definition of “big data” limit policy makers and healthcare professionals from determining which big data initiatives are worth implementing.

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