Complex health care interventions: Characteristics relevant for ethical analysis in health technology assessment

Towards greater impact in health technology assessment: System dynamic approach for new and emerging technologies in Iran

PURPOSE

As classical health technology assessment models fail to predict the complexities of related impacts, the application of modeling techniques such as systems dynamics simulation (SD) is essential. This study aimed to develop an SD model to predict the outcomes of access to a new medicine in Iran.

METHODS

This study extracted the important and influential variables in providing access to new pharmaceutical technologies by comprehensively reviewing previous research and combining the technical knowledge of experts in this field. The variables were incorporated into the systems thinking framework and modeled using dynamic systems tools, followed by simulation and testing in VENSIM. The model was piloted for deferoxamine and deferasirox in thalassemia. Various tests were used to evaluate the validity and reliability of the model. The model was designed for a ten-year horizon (2018-2028) for medicines selected as the pilot.

RESULTS

The variables extracted from the panel of experts encompassed the primary and short-term impacts of access to newly emerged medicine and long-term impacts regarding the economy, health, and society. After modeling, the leverage points presented for the problem with the greatest impact or effectiveness in access to new medicine included the policy determining the amount of medicine supply, the import and production of medicine, the prevalence and incidence of disease, insurance coverage, and treatment adherence.

CONCLUSION

The SD models allow the researchers to evaluate the efficiency and health outcomes of a new pharmaceutical more precisely in the health system in Iran.

Methods for the health technology assessment of complex interventions: a protocol for a scoping review

INTRODUCTION

In healthcare policy and economic literature, research on the health technology assessment (HTA) of complex interventions (CIs) is becoming increasingly important. In many developed countries, HTA guides decision-making to help achieve greater value for money when funding health care. However, research has yet to identify the forms of evidence and evaluation criteria that should be used in the HTA of CIs. Previous research has established that the HTA of CIs requires multiple factors to be evaluated but there is no agreement on which factors ought always to be considered. There is equally little agreement on which forms of evidence ought to be collected or synthesised and how. We plan to perform a systematic scoping review in order to identify the range of evaluation criteria and types of evidence currently used in the HTA of CIs.

METHOD AND ANALYSIS

This protocol was developed to guide the methodological framework for the conduct of a scoping review on health technology assessment (HTA) of complex interventions (CIs), using the Joanna Briggs Institute guidelines and the six-stage framework proposed by Arksey and O'Malley, in addition to more recent innovations in scoping review methodology. A grey literature search will supplement the primary searches of seven electronic databases for studies available in English between January 2000 and August 2020. Two reviewers will independently screen all search results for inclusion and data will be extracted using a customised data extraction or charting form. Any dispute will be resolved by consensus or through arbitration by a third author. The mnemonic Population, Concept and Context will be adopted to establish criteria for selecting relevant literature, and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: Extension for Scoping Review will be used for reporting the results. Several explanatory-descriptive methods will be used for analysing the extracted data including frequency and trend analyses as well as reflexive thematic coding and analysis.Mapping evidence on the HTA of CIs will allow us to gain a better understanding of both established and emerging practices, including the information types, requirements, values and parameters that are incorporated in the HTA of CIs. We also expect the findings of the scoping review to help identify research gaps that will guide future studies. As healthcare becomes more complex in its delivery, it is timely to determine how these complex interventions should be assessed so that policy decisions can be made about whether implementation and public funding is warranted.

ETHICS AND DISSEMINATION

This scoping review will involve secondary analysis of already collected data, and thus, does not require ethics approval. The research findings will be submitted to peer-reviewed journals for publication and will also be disseminated at conferences and seminars.

Dynamic Consent: An Evaluation and Reporting Framework

Dynamic consent (DC) is an approach to consent that enables people, through an interactive digital interface, to make granular decisions about their ongoing participation. This approach has been explored within biomedical research, in fields such as biobanking and genomics, where ongoing contact is required with participants. It is posited that DC can enhance decisional autonomy and improve researcher–participant communication. Currently, there is a lack of evidence about the measurable effects of DC-based tools. This article outlines a framework for DC evaluation and reporting. The article draws upon the evidence for enhanced modes of informed consent for research as the basis for a logic model. It outlines how future evaluations of DC should be designed to maximize their quality, replicability, and relevance based on this framework. Finally, the article considers best-practice for reporting studies that assess DC, to enable future research and implementation to build upon the emerging evidence base.

Evaluating facts and facting evaluations: On the fact-value relationship in HTA

Health technology assessment (HTA) is an evaluation of health technologies in terms of facts and evidence. However, the relationship between facts and values is still not clear in HTA. This is problematic in an era of "fake facts" and "truth production." Accordingly, the objective of this study is to clarify the relationship between facts and values in HTA. We start with the perspectives of the traditional positivist account of "evaluating facts" and the social-constructivist account of "facting values." Our analysis reveals diverse relationships between facts and a spectrum of values, ranging from basic human values, to the values of health professionals, and values of and in HTA, as well as for decision making. We argue for sensitivity to the relationship between facts and values on all levels of HTA, for being open and transparent about the values guiding the production of facts, and for a primacy for the values close to the principal goals of health care, ie, relieving suffering. We maintain that philosophy (in particular ethics) may have an important role in addressing the relationship between facts and values in HTA. Philosophy may help us to avoid fallacies of inferring values from facts; to disentangle the normative assumptions in the production or presentation of facts and to tease out implicit value judgements in HTA; to analyse evaluative argumentation relating to facts about technologies; to address conceptual issues of normative importance; and to promote reflection on HTA's own value system. In this we argue for a(n Aristotelian) middle way between the traditional positivist account of "evaluating facts" and the social-constructivist account of "facting values," which we call "factuation." We conclude that HTA is unique in bringing together facts and values and that being conscious and explicit about this "factuation" is key to making HTA valuable to both individual decision makers and society as a whole.