Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-23T17:26:17.094Z Has data issue: false hasContentIssue false

Incorporating healthcare access and equity in economic evaluations: a scoping review of guidelines

Published online by Cambridge University Press:  18 November 2024

Bryony Dawkins*
Affiliation:
Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
Bethany Shinkins
Affiliation:
Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
Tim Ensor
Affiliation:
Nuffield Centre for International Health and Development, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
David Jayne
Affiliation:
Leeds Institute of Medical Research at St James’s, University of Leeds, St James’s University Hospital, Leeds, UK
David Meads
Affiliation:
Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
*
Corresponding author: Bryony Dawkins; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Background

International development agendas increasingly push for access to healthcare for all through universal healthcare coverage. Health economic evaluations and health technology assessment (HTA) could provide evidence to support this but do not routinely incorporate consideration of equitable access.

Methods

We undertook an international scoping review of health economic evaluation and HTA guidelines to examine how well issues of healthcare access and equity are represented, evidence recommendations, and gaps in current guidance to support evidence generation in this area. Guidelines were sourced from guideline repositories and websites of international agencies and organizations providing best practice methods guidance. Articles providing methods guidance for the conduct of HTA, or health economic evaluation, were included, except where they were not available in English and a suitable translation could not be obtained.

Results

The search yielded forty-seven national, four international, and nine independent guidelines, along with eighty-six articles providing specific methods guidance. The inclusion of equity and access considerations in current guidance is extremely limited. Where they do feature, detail on specific methods for providing evidence on these issues is sparse.

Discussion

Economic evaluation could be a valuable tool to provide evidence for the best healthcare strategies that not only maximize health but also ensure equitable access to care for all. Such evidence would be invaluable in supporting progress towards universal healthcare coverage. Clear guidance is required to ensure evaluations provide evidence on the best strategies to support equitable access to healthcare, but such guidance rarely exists in current best practice and guidance documents.

Type
Method
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press

Key messages

  • Definitions of health technology assessment often include reference to access and equity issues, yet health technology assessment guidelines rarely specify how to incorporate these impacts.

  • Where access to care and equity are discussed in guidelines, they predominantly recommend that these issues should be considered separately to the main part of the HTA which should focus on the main goal of health systems: health gain.

  • Clear methodological guidance is required to ensure evaluations of healthcare provide evidence on the best strategies to support equitable access to healthcare for all who need it.

Introduction

Universal health coverage (UHC) is a global goal introduced as part of the sustainable development goals (SDGs) target 3.8, which focuses on achieving UHC, “including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for all” [1]. UHC means all people have access to health services when and where they need them, without financial hardship, and recognizes access to healthcare as a basic human right. It is a goal that countries around the world are striving to achieve, though each has a different path to achieve it depending on the needs of the population and resources available [1;2].

Inequalities in health prevail around the world and refer to differences in health outcomes achieved by different groups in a population. Health inequities occur when these differences in health across the population are considered unfair, for example when health inequalities arise due to social conditions in which people are born, grow, live, work and age. As such health inequities are health inequalities that are unfair and could be reduced by government policies or interventions [3]. UHC continues to be challenged by health inequalities as aggregated country-level data masks within country inequalities in coverage and associated health outcomes [2].

Generally, the aim of any healthcare system is to improve the health of the population. However, with the introduction of the goal to achieve UHC, international development agendas are stretching the definition of optimal healthcare provision to include equitable access. This presents new challenges for healthcare decision makers, in how to reconcile the objective of maximizing overall population health whilst achieving equitable access to healthcare for all, and for analysts in providing evidence that can best support decision-making.

Economic evaluation is an analytical technique which involves assessing the costs and effects of healthcare interventions to identify the optimal allocation of limited healthcare resources, which maximizes population health [Reference Mitton, Seixas and Peacock4]. It is a key component of HTA, and the focus of many best practice guidelines [5]. These tend to be produced by methodological experts within professional societies and contain technical guidance on methods that should be employed in each evaluation. Such documents could provide methodological guidance as to the best way to incorporate issues of equity and healthcare access into economic evaluations. However, despite the potential to, standard methods of economic evaluation do not routinely incorporate objectives beyond maximizing population health [6].

Several reviews of economic evaluation guidelines have been undertaken [Reference Hjelmgren, Berggren and Andersson7Reference von der Schulenburg and Hoffmann12], with most focusing on a specific geographical area. While one took a global perspective, it was limited to national guidelines only [Reference Sharma, Aggarwal and Downey9]. Here, we report an international scoping review of health economic evaluation and HTA guidelines to examine how well issues of healthcare access and equity are represented [13]. In addition to national guidelines, we include guidance issued by development agencies such as the WHO and the Bill and Melinda Gates Foundation (BMGF), independent guidance issued by specific organisations such as Institute for Clinical and Economic Review (ICER) and the Panel on Cost-effectiveness [Reference Sanders, Neumann and Basu14], as well as subject-specific guidance such as the ISPOR good research practices reports [15]. We focus on what recommendations are included on how to provide evidence on equitable access to healthcare, and what gaps exist in current guidance to support evidence generation in this area.

Methods

We undertook an international review of health economic evaluation and HTA guidelines to examine how well issues of healthcare access and equity are represented. This review of methods guidance is most closely aligned to a scoping review as it aims to examine the characteristics of current literature [13]. However, there are some differences in methods to a scoping review, particularly in relation to the way searches were conducted. Usually, a scoping review would include systematic database searches (similar to a systematic review), however this search method is not applied here as most guidelines are not deposited in databases. Consequently, this review was not registered. Despite these differences, reporting of this review was guided by the PRISMA-ScR guidance and the completed PRISMA-ScR checklist is available in Supplementary Appendix 1 [Reference Tricco, Lillie and Zarin16].

Identification of guidance documents

Guidelines were sourced by searching the Guide to Economic Analysis and Research for Health (GEAR4Health) and ‘ISPOR Pharmacoeconomic Guidelines around the World’ repositories, along with websites of the WHO, BMGF, the International Decision Support Initiative (iDSI), ICER, and the Panel on Cost-effectiveness [1719] [2024] [25;26]. Articles providing guidance on specific methods relevant to economic evaluation and HTA were also sought by searching within the European Network for HTA (EUNetHTA) and ISPOR ‘Good Practice Reports’ series [27;28].

Initial searches were completed in January 2021 and were updated in March 2023 to include new and updated guidance.

Eligibility criteria

Any document which identified itself as providing methodological guidance for the conduct of HTA or economic evaluation of healthcare was included. Documents not available in English were included if an acceptable translation could be obtained using Google Translate. Full inclusion and exclusion criteria are presented in Table 1.

Table 1. Inclusion and exclusion criteria

Data extraction and synthesis

Data were extracted using a template which collected: (i) general guideline characteristics; (ii) whether healthcare access (or related terms e.g., “use of services” or “coverage”) was mentioned and, if so, details of the discussion; (iii) whether inequalities or equity (or related terms e.g., “distribution” or “fairness”) were mentioned and, if so, details of the discussion; and, (iv) whether any relevant methods for the consideration of healthcare access or equity issues were mentioned and, if so, details of these.

Descriptive analysis of the extent to which healthcare access and equity issues are covered in the guidelines was undertaken. This sought to draw out similarities, differences, and trends across guidelines, and to identify those that made more explicit recommendations than others and what those recommendations were. Results were synthesized separately for documents providing overall guidance on the whole HTA/economic evaluation process and those providing guidance on a specific method that could be used as part of an economic evaluation.

Results

A total of fifty national, eight international, twenty-six independent, and eighty-six method-specific guideline documents were identified by the search (see Supplementary Appendix 2). Three national guidelines were excluded. One of these (Iran) was excluded as it was not available online and could not be sourced by alternative means. Another (Catalonia) was excluded as it was determined to be regional, and the national guideline for Spain was included. One more (South Korea) was excluded as the translation was not of sufficient quality to interpret the data. A further twenty-one articles were excluded at full text review as they did not provide methods guidance.

A total of 146 guideline documents were included in this review. The PRISMA flow diagram in Figure 1 shows the selection process.

Figure 1. Prisma flow diagram.

General characteristics

Of the forty-seven included national guidelines, thrity-one provided guidance for high-income countries (HICs), nine for upper-middle-income countries (U-MICs), and seven for lower-middle-income countries (L-MICs), according to World Bank income classification groupings. The distribution of guidance document types by publication year is shown in Figure 2 and the distribution of national guidelines published by year and income classification is shown in Figure 3. Most guidance documents were published since 2010 and for HICs. Guidance produced for middle-income countries (MICs) is increasing, but there were no national guidelines for low-income countries (LICs).

Figure 2. Year of publication – all guidance documents.

Figure 3. Year of publication – national guidelines.

Healthcare access

Summary of healthcare access in current guidance

Healthcare access was mentioned in 40 percent of all guidance documents (Figure 4). Consideration of healthcare access has increased in recent years and is most commonly included in guidance for lower resource settings. Overall, forty-five percent (n = 14/31) of all guidelines from HICs, fifty-six percent (n = 5/9) from U-MICs and seventy-one percent (n = 5/7) from L-MICs included some discussion of healthcare access.

Figure 4. Inclusion of healthcare access and equity in current guidance.

Healthcare access in documents providing overall guidance for economic evaluation and HTA

All international guidelines, fifty-one percent of national guidelines and fifty-five percent of independent guidelines mention healthcare access. However, generally the discussion of healthcare access was extremely limited, with little practical detail provided [Reference Da Silva, Pinto and Sampaio29;Reference Edejer, Baltussen and Tan-Torres30]. In some cases healthcare access was not discussed explicitly but access-related indicators such as treatment rates, implementation, uptake, and compliance were requested [Reference Edejer, Baltussen and Tan-Torres3032], or access schemes were discussed [33]. In others, discussion of healthcare access was limited to recommending that access information should be included in the description of the product/disease, introductory or discussion sections [3437], or as one (of potentially many) socio-cultural aspects that should be considered alongside clinical and economic evidence [Reference Pannarunothai, Pilasant, Kingkaew and Saengsri35;3741]. In many cases, healthcare access is discussed as an optional consideration and so is not included within the decision-making process [37;38;41]. Furthermore, even when guidelines advocate considering healthcare access, they rarely provide guidance on what evidence should be provided, how it should be obtained, or how it should be incorporated into the decision-making process [Reference Pannarunothai, Pilasant, Kingkaew and Saengsri35;36;Reference Liu, Hu, Wu, Wu, Dong and Li42Reference González45].

Within guidance documents from independent organizations, discussion of healthcare access is limited. It is not mentioned at all in the 2nd Panel on cost-effectiveness article and while five of the eight included ICER documents include some discussion of healthcare access, beyond recognizing access as a social objective, this is predominantly related to how access can be restricted if high prices would mean unmanageable budget impacts [Reference Sanders, Neumann and Basu14;46Reference Pearson50].

Three international guidelines and three national guidelines, all from LMICs, specifically explain the importance of the role of HTA in achieving UHC [51Reference Bertram56]. However, most give little detail on the way this guidance should be delivered, how evaluations should incorporate issues or how evidence to support these goals should be (i) generated and (ii) balanced against other healthcare system objectives [51Reference Wilkinson, Sculpher and Claxton54]. For example, the iDSI reference case advocates consideration of equity and for robust economic evaluation to aid with decision making to support achievement of UHC. However, it makes no methodological suggestions about providing evidence to support UHC other than through robust economic evaluation “conducted and reported with consistently high methodological quality” [Reference Wilkinson, Sculpher and Claxton54]. In contrast, the guidelines from the WHO CHOICE series do recommend some evaluative approaches to support UHC, including the use of generalized cost-effectiveness analysis for developing UHC packages [Reference Bertram, Lauer and Stenberg55;Reference Bertram56]. The guideline for the Philippines includes the most comprehensive discussion of healthcare access among the included national and international guidelines, providing practical recommendations on how evidence should be collected and presented, and how this evidence should be used within the decision-making process [52]. Besides explaining the importance of HTA in the achievement of UHC, it also mandates the consideration of evidence on equity and access and recommends a range of qualitative methods to collect data for this purpose [52]. Still, healthcare access is considered separately to clinical and economic data.

Healthcare access in methods guidance articles

One article from EUNetHTA and 24 ISPOR Good Practice Reports contained discussion of healthcare access [57Reference Padula, Kreif and Vanness81]. However, most simply describe healthcare access as a possible issue rather than suggesting methods to analyze it. For example, treatment adherence is discussed as potentially impacting effectiveness and costs [57], in some articles factors which potentially limit access are described [Reference Wolowacz, Briggs and Belozeroff64;Reference Berger, Mamdani and Atkins67], and in some the impact of policies or provider types on access are described [Reference Bridges, Hauber and Marshall61;Reference Hay, Smeeding and Carroll69;Reference Mansley, Carroll and Chen70;Reference Mullins, Seal and Seoane-Vazquez82]. Others suggest factors impacting access to the intervention should be considered, but do not say how [Reference Sullivan, Mauskopf and Augustovski59;Reference Cox, Martin and Van Staa66;Reference Mauskopf, Towse and Briggs78;Reference Padula, Kreif and Vanness81]. However, some practical suggestions for incorporating access into analyses are suggested. For example, a societal perspective for analysis is suggested to facilitate coverage decisions to provide access to more patients [Reference Garrison, Mansley and Abbott71]; stratification and weighting methods are recommended to overcome selection bias resulting from differences in utilization by different populations [Reference Padula, Kreif and Vanness81]; dynamic simulation, discrete event simulation, machine learning models and constrained resource modelling/constrained optimization are suggested to capture changes/constraints in healthcare access [Reference Crown58;Reference Karnon74;Reference Padula, Kreif and Vanness81;Reference Marshall83;Reference Marshall84]; regression-based decomposition methods are suggested for examining disparities in access to healthcare [Reference Johnson, Crown and Martin65]; and multiple-criteria decision analysis is suggested to incorporate improvements in access within the evaluation [Reference Thokala, Devlin and Marsh75]. Further explanation of the methods identified from the review that could be useful for the analysis of healthcare access is provided in Supplementary Appendix 3.

Inequalities and equity

Summary of inequalities/equity in current guidance

Inequalities and equity issues are mentioned in twenty-seven percent of documents identified (Figure 4). This shows that, like healthcare access, the inclusion of some discussion on inequalities and equity has been increasing in recent years. However, in contrast to healthcare access this is primarily in national and international guidelines with only a small proportion being specific methods guidance.

Inequality and equity in documents providing overall guidance for economic evaluation and HTA

Discussion of equity issues in many guidance documents remains limited to short statements of the importance of equity without making any attempt to explain this or how it should be included in analyses [31;Reference Liu, Hu, Wu, Wu, Dong and Li42;Reference González45;53;Reference Bertram, Lauer and Stenberg55;Reference Bertram56;8591].

The most common recommendation is to ensure all QALYs are weighted equally regardless of to whom they accrue [31;Reference López-Bastida, Oliva and Antonanzas40;Reference Liu, Hu, Wu, Wu, Dong and Li42;86;89;9194], although some allow alternative equity positions to be presented if useful for decision making [31;Reference López-Bastida, Oliva and Antonanzas40;43]. The guideline for Canada also makes recommendations of how to do this, including presenting disaggregated analyses along with “full descriptions of the relevant populations to allow for consideration of any subsequent distributional and equity-related policy concerns” [43].

Another common recommendation is for distributional inequities to be discussed alongside, but separately, to the main clinical and economic analysis, for example, using subgroup analysis or equity/ distributional weights [39;41;Reference Liu, Hu, Wu, Wu, Dong and Li42;Reference Wilkinson, Sculpher and Claxton54;93]. For example, the Scottish guideline states that equity implications should be discussed, noting that although “[i]t can be difficult to include equity considerations within an economic evaluation”… “[t]hey can certainly be included in a discussion of the main findings” [33]. Other guidelines take a similar approach, suggesting a descriptive approach to inclusion of equity considerations and distributional impacts [36;37;86;89]. One justification being that equity is considered “less quantifiable” despite influencing decision making [37]. Some guidelines discuss equity weighting, though the majority advise against use of this method due to methodological issues in the derivation of equity weights and unresolved debate about the appropriateness of this technique [86;89].

Similar to the inclusion of healthcare access, the guideline for the Philippines also stands out for its explicit inclusion of equity issues. It states that equity considerations and social values are central principles for the conduct of HTA [52]. It also explains that ethical issues including “equity and fairness of coverage decisions; considerations for special subgroups of patients and the general population, where applicable” and “social acceptability and cultural factors including patient and caregiver preferences and values” should be included as some of the “key aspects of evidence which must form the HTA report” [52]. Furthermore, it recommends methods for incorporating these issues, suggesting a separate section on equity organized according to PROGESS-Plus (a framework for specifying indicators of social disadvantage) [52;Reference Attwood, Van Sluijs and Sutton95].

All international guidelines emphasize the importance of equity as a goal of the healthcare system to be considered alongside efficiency/cost-effectiveness [Reference Edejer, Baltussen and Tan-Torres30;Reference Wilkinson, Sculpher and Claxton54Reference Bertram56]. In addition, the iDSI reference case suggests that equity implications should be considered at all stages of the evaluation and that there are various mechanisms for assessing equity implications, though it does not state what these are [Reference Wilkinson, Sculpher and Claxton54].

Within guidance documents from independent organizations the discussion of equity is mostly limited to acknowledging equity is one of many factors to be considered alongside cost-effectiveness in resource allocation decisions [Reference Sanders, Neumann and Basu14;47;49;Reference Pearson50;96;97]. The exception to this is the ICER White Paper on “Advancing health technology assessment methods to support health equity”, which comprehensively addresses the inclusion of equity within HTA, advocating for inclusion of equity through deliberative process [Reference Agboola, Whittington and Pearson98]. It recommends standardization of evidence on equity to be presented to decision makers as part of the HTA process and promotes the use of empirical evidence on equity to support, but not replace, the deliberative process. It also discusses a range of methodological options to provide evidence on equity to inform the deliberative process and makes recommendations about the use of each [Reference Agboola, Whittington and Pearson98]. As such, this article represents a marked shift forward in the way equity is reflected in guidance for economic evaluation and HTA.

Inequality and equity in methods guidance articles

Two articles from the EUNetHTA series and six from the ISPOR Good Practice Reports series contained discussion of inequalities or equity [Reference Roberts, Russell and Paltiel60;Reference Thokala, Devlin and Marsh75;Reference Garrison, Towse and Briggs77;Reference Mullins, Seal and Seoane-Vazquez82;Reference Oortwijn, Husereau and Abelson99102]. The discussion is limited to describing equity implications as being potentially relevant for consideration [Reference Garrison, Towse and Briggs77;Reference Oortwijn, Husereau and Abelson99;101;102]. Within the ISPOR Good Practice Reports, equity issues also arise with respect to equity of competition [Reference Shi, Hodges and Drummond72], equity adjustments which could influence characterization of health [Reference Roberts, Russell and Paltiel60], and as one of five criteria considered within an example multi-criteria decision analysis from Thailand [Reference Thokala, Devlin and Marsh75]. Although there is limited discussion of equity issues within methods guidance, several recommend subgroup analysis or disaggregation of data when there may be differences in results for different population groups [Reference Cox, Martin and Van Staa66;Reference Mauskopf, Towse and Briggs78;Reference Husereau, Drummond and Petrou103Reference Drummond, Brown and Fendrick106]. Overall, recognition of equity issues is limited in methods guidance articles, and the only concrete example of equity issues being formally incorporated into analysis is through multi-criteria decision analysis. One exception to this is the ISPOR CHEERS checklist which was updated in 2022 and now specifically includes criteria relating to equity and distributional analysis [Reference Husereau, Drummond and Augustovski100]. It recommends that characterizing distributional effects may be important and suggests that methods for assessing trade-offs between equity and efficiency should be described, for example, using the equity-efficiency impact plane [Reference Husereau, Drummond and Augustovski100]. Further explanation of the methods identified from the review that could be useful for the analysis of equity impacts is provided in Supplementary Appendix 3.

Discussion

Summary of key findings and implications

This review was undertaken to examine how well issues of healthcare access and equity are represented in current guidance, what recommendations are included to provide evidence on these issues, and what gaps exist. It provides the first comprehensive account of how well current economic evaluation and HTA methods guidance supports evidence generation for healthcare policy and practice that would result in progress towards UHC and fair access to healthcare.

The results show that despite these being prioritized issues in international development agendas, the majority of guidelines do not mention healthcare access or equity at all. As such, they fail to recognize patients’ ability to access care as a key outcome that should be measured or evaluated. Even those that do advocate for the importance of healthcare access fail to provide guidance on specific methods. Equity issues are mentioned in only 27 percent of included guidance documents. Where they are, they primarily advocate for maximization of unweighted QALYs or suggest further consideration should be separate to the main analysis. Despite increasing recognition of the need to consider equity issues, there remains a lack of practical guidance on how they should be reported and incorporated into healthcare decision-making. One exception to this is the ICER White Paper which represents a major shift in the equity stance of ICER as an organization. It places equity as an equal consideration to cost-effectiveness in healthcare decision making and introduces a range of methods and minimum standards by which to do this. Given the system requirements needed to deliver equitable access to healthcare, it will be interesting to see the extent to which the new ICER guidance translates to improved equity of access in practice.

A summary of all methods identified from the review that could be useful for the analysis of healthcare access and equity within economic evaluation and HTA is provided in Supplementary Appendix 3. Some of the methods identified are discussed in current guidance in relation to their usefulness for analysis of either equity or access issues but rarely is a method discussed in relation to both these aspects. For example, the ICER White Paper discusses a number of methodological options for analyzing equity but does not discuss healthcare access considerations. In contrast, the WHO CHOICE articles discuss methods in relation to identifying strategies for universal health coverage but do not specifically discuss methods for incorporating equity. As such, analysts who need to analyze equity and access impacts together likely need to select appropriate methods for each and consider how they might combine them to provide comprehensive evidence on both aspects. An additional challenge to be overcome is that the more comprehensive methods to incorporate equity or access issues require increasingly comprehensive data which in many settings simply does not exist and can be impractical to obtain. In response to this issue there have been some attempts to develop less resource intensive methods for analysis of equity such as aggregate distributional cost-effectiveness analysis and the health improvement distribution index (see Supplementary Appendix 3); however, even these require additional data resource compared with standard methods used within economic evaluation and HTA.

The number of national guideline documents for U-MICs and L-MICs have increased over time, however, still the largest proportion of national guidelines are for HICs, and to date there are no national guidelines for low-income countries. These trends are understandable as HICs have tended to spearhead the use of health economic evidence for health decision making and have more robust systems for incorporating this evidence in the decision-making process. In addition, weaker health systems in LMICs can hinder the use of evidence from economic evaluation and HTA to inform healthcare decision making due to the need to overcome complex challenges throughout care pathways (e.g., in purchasing and supply chains, and ensuring appropriate targeting and provision to patients). However, there has also been a shift in international development focus to move toward increased use of health economic evidence and HTA processes in LMICs which reflects the increase in guidance documents more recently [6]. Furthermore, included guidelines for some of the L-MICs contain some of the most detailed guidance on healthcare access and equity issues. This potentially reflects the greater emphasis for these countries on achieving UHC as compared with HICs which have more comprehensive healthcare systems and generally can provide basic healthcare services for their populations.

The results of this study highlight a disparity between international development agenda expectations for use of health economic evidence to support advancement towards UHC and the current methods guidance to undertake such evaluations. The World Health Assembly report on ‘health intervention and technology assessment in support of universal health coverage’ advocates for robust economic evaluation and HTA to support advances towards UHC, yet does not provide guidance on how economic evaluation should be adapted to provide relevant evidence [6]. Furthermore, the statement that “robust economic evaluation is critical for UHC” is repeated through several guidance documents. Yet, in all cases, no additional guidance on the role of economic evaluation in supporting UHC is given. This implies that robust economic evaluation by itself will support UHC. To some extent this could be true if increased overall health means increased access to care. However, increased health could also be achieved by improving treatments for people already able to access care. As such, even when conducted robustly, economic evaluation does not necessarily provide evidence on advances towards UHC. Such evidence would require adaptations to standard economic evaluation methods to incorporate these issues. This problem is not addressed in current national and international guidelines for economic evaluation and HTA and, as such, no guidance on how to effectively provide relevant evidence on advancement towards UHC is provided in current guidelines.

Strengths and limitations

This study is the first to examine recommendations within current methods guidance which would support the generation of evidence on achieving UHC and fair access to healthcare for all. As such, it provides novel evidence on how well-aligned current methods guidance is with international development agendas, and how well current recommended methods can provide the evidence needed to support advancement towards global goals.

Another strength of this study is that it was conducted robustly using methods to identify guideline documents in line with other published studies in this area. In addition, every effort was made to include articles produced in languages other than English. In contrast, previous reviews of methods guidance have included only articles available in English resulting in a large proportion of known guidance documents being excluded [Reference Sharma, Aggarwal and Downey9].

A limitation of this study (and of guideline reviews in general) is that because economic evaluation and HTA guidelines tend not to be published in journal articles the search methods are non-standard as compared to other types of literature review. Instead of using a structured literature search within relevant databases, guidelines are identified from online repositories and by searching websites of relevant organizations. Although this approach is common among guideline reviews it is potentially less re-producible and transparent. Furthermore, quality assessment of the included guidance documents was not undertaken because of the variation in type of document included, and also because there is no validated tool available to assess the quality of economic evaluation and HTA guidelines. In any case, the quality of the guidelines was not the intended purpose of this review.

Conclusion

Clear methodological guidance is required to ensure evaluations of healthcare provide evidence on the best strategies to support equitable access to healthcare, but such guidance rarely exists in current best practice and guidance documents. Current recommendations are vague and fail to provide specific methodological guidance on how these important issues can be incorporated into economic evaluations. As such, current guidance fails to support evidence generation, from economic evaluations and HTA, which could be used by policy makers around the world as they seek to progress towards UHC. We hope that highlighting this gap will encourage discussion of how methods of economic evaluation and HTA could be adapted to provide this evidence.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1017/S0266462324000618.

Funding statement

This study was undertaken as part of a PhD part funded by Leeds Institute of Health Sciences, University of Leeds. No funding was received to undertake this study or to assist with the preparation of this manuscript.

Competing interest

None declared.

References

World Health Organisation (WHO). Universal Health Coverage. 2023 18.05.23]; Available from: https://www.who.int/health-topics/universal-health-coverage#tab=tab_3.Google Scholar
World Health Organisation (WHO). Universal health coverage (UHC). 2023 18.05.23]; Available from: https://www.who.int/news-room/fact-sheets/detail/universal-health-coverage-(uhc).Google Scholar
World Health Organisation (WHO). Health inequities and their causes. 2023 18.05.23]; Available from: https://www.who.int/news-room/facts-in-pictures/detail/health-inequities-and-their-causes.Google Scholar
Mitton, C., Seixas, B. V., Peacock, S., et al., Health technology assessment as part of a broader process for priority setting and resource allocation. 2019. 17: p. 573576.Google ScholarPubMed
International Society for Pharmacoeconomics and Outcomes Research [ISPOR]. Pharmacoeconomic guidelines around the world. 2020 accessed 01.03.2023]; Available from: https://www.ispor.org/heor-resources/more-heor-resources/pharmacoeconomic-guidelines/pe-guideline-detail.Google Scholar
World Health Assembly, Health intervention and technology assessment in support of universal health coverage, in WHA Resolution 67.23. 2014.Google Scholar
Hjelmgren, J, Berggren, F, Andersson, FJViH. Health economic guidelines—similarities, differences and some implications. Value in Health. 2001; 4(3):225250.CrossRefGoogle Scholar
Zisis, K, Naoum, P, Athanasakis, K.J.I.J.o.T.A.i.H.C. Qualitative comparative analysis of health economic evaluation guidelines for health technology assessment in European countries. Int J Technol Assessment Health Care. 2021;37(1):e2.CrossRefGoogle Scholar
Sharma, D., Aggarwal, A. K., Downey, L.E., et al., National healthcare economic evaluation guidelines: a cross-country comparison. Pharmacoecon Open. 2021;5:349364.CrossRefGoogle Scholar
EUnetHTA Joint Action 2, W.P., Subgroup 3, et al. Is there a European view on health economic evaluations? Results from a synopsis of methodological guidelines used in the EUnetHTA partner countries. Pharmacoeconomics. 2016;34:5976.CrossRefGoogle Scholar
Bracco, A and Krol, M. Economic evaluations in European reimbursement submission guidelines: current status and comparisons. Expert Rev Pharmacoeconom Outcomes Res. 2013;13(5):579595.CrossRefGoogle ScholarPubMed
von der Schulenburg, J-MG, Hoffmann, C. Review of European guidelines for economic evaluation of medical technologies and pharmaceuticals. HEPAC Health Econ Prevent Care. 2000:28.CrossRefGoogle Scholar
Weill Cornell Medicine Samuel J. Wood Library. Systematic Reviews: Scoping Reviews. 2023 [21st July 2023]; Available from: https://med.cornell.libguides.com/systematicreviews/scopingreviews.Google Scholar
Sanders, G.D., Neumann, P. J., Basu, A., et al., Recommendations for conduct, methodological practices, and reporting of cost-effectiveness analyses: second panel on cost-effectiveness in health and medicine. Special Commun. 2016;316(10): 1093–103.CrossRefGoogle Scholar
ISPOR. Good Practices Reports & More. 2023 04.08.23]; Available from: https://www.ispor.org/heor-resources/good-practices.Google Scholar
Tricco, A.C., Lillie, E., Zarin, W., et al., PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Annals of internal medicine. 2018;169(7):467473.CrossRefGoogle Scholar
Guide to Economic Analysis and research (GEAR). Guide to Economic Analysis and Research Online Resource. 2023 13.03.23]; Available from: http://www.gear4health.com/.Google Scholar
Guide to Economic Analysis and research (GEAR). Guidelines Comparison. 2023 13.03.23]; Available from: http://www.gear4health.com/gear/health-economic-evaluation-guidelines.Google Scholar
ISPOR. ISPOR Pharmacoeconomic Guidelines Around the World. 2023 18.05.23]; Available from: https://www.ispor.org/heor-resources/more-heor-resources/pharmacoeconomic-guidelines.Google Scholar
World Health Organisation (WHO). World Health Organisation. 2023 [cited 2023 13th March]; Available from: https://www.who.int/.Google Scholar
World Health Organisation (WHO). WHO Choice. 2014 [cited 2023 13th March]; Available from: https://www.who.int/news-room/questions-and-answers/item/who-choice-frequently-asked-questions.Google Scholar
World Health Organisation (WHO). New cost-effectiveness updates from WHO-CHOICE. 2021 [cited 2023 13th March]; Available from: https://www.who.int/news-room/feature-stories/detail/new-cost-effectiveness-updates-from-who-choice.Google Scholar
Bill and Melinda Gates Foundation. gatesfoundation.org. 2023 [cited 2023 13th March]; Available from: https://www.gatesfoundation.org/.Google Scholar
(iDSI), I.D.S.I. idsihealth.org. 2023 [cited 2023 13th March]; Available from: https://www.idsihealth.org/.Google Scholar
Institute for Clinical and Economic Review (ICER). Policy Papers. 2023 30.03.23]; Available from: https://icer.org/explore-our-research/policy-papers/.Google Scholar
Institute for Clinical and Economic Review (ICER). Methods and Processes. 2023 30.03.23]; Available from: https://icer.org/our-approach/methods-process/.Google Scholar
International Society for Pharmacoeconomics and Outcomes Research, I.I. Good Practices Reports & More. 2023 [cited 2023 13th March]; Available from: https://www.ispor.org/heor-resources/good-practices.Google Scholar
European Network for Health Technology Assessment (EUNetHTA). eunethta.eu. 2023 [cited 2023 13th March]; Available from: https://www.eunethta.eu/.Google Scholar
Da Silva, E.A., Pinto, C.G., Sampaio, C., et al., Guidelines for economic drug evaluation studies. 1998, Lisbon: National Authority of Medicines and Health Products [INFARMED],.Google Scholar
Edejer, TT-T, Baltussen, R., Tan-Torres, T., et al., Making choices in health: WHO guide to cost-effectiveness analysis. Vol. 1. 2003: World Health Organization.Google Scholar
National Institute of Health and Care Excellence [NICE], NICE health technology evaluations: the manual. 2022, London: NICE.Google Scholar
National List of Health Services (NLHS) Assessment Division, Procedure for submitting an application for the inclusion of a preparation ("medicine") in the basket of health services (according to State Health Insurance Law, 1994) [translated title]. 2022, Ministry of Health: Israel.Google Scholar
Scottish Medicines Consortium (SMC) , Guidance to submitting companies for completion of New Product Assessment Form (NPAF). 2022, Healthcare Improvement Scotland: Scotland.Google Scholar
Academy of Managed Care Pharmacy (AMCP) Format Executive Committee, AMCP Format for Formulary Submissions: Guidance on Submission of Pre-approval and Post-approval Clinical and Economic Information and Evidence Version 4.1. 2020, AMCP: USA.Google Scholar
Guideline Development Working Group,Guideline for Health Technology Assessment in Thailand Updated Edition: 2019. In: Pannarunothai, S, Pilasant, S, Kingkaew, P, Saengsri, W, editors. Health Systems Research Institute (HSRI): Thailand; 2021.Google Scholar
Inter-institutional Commission of the Basic Table of Inputs of the Health Sector, Guide for conducting economic evaluation studies to update the basics table and catalog of supplies of the health sector in Mexico [translated title]. 2017, General Health Council: Mexico.Google Scholar
Pharmaceutical Benefits Advisory Committee (PBAC), Guidelines for preparing a submission to the Pharmaceutical Benefits Advisory Committee (Version 5.0), ed. Australian Government - Deparrtment of Health. 2016, Australia: Australian Government: Department of Health.Google Scholar
Institute for Quality and Efficiency in Healthcare (IQWiG), General Methods: Draft version 7.0 [translated title]. 2022: Germany.Google Scholar
Ministry of Human Resources, Health professional guideline - For preparing and evaluating health economic analyses [translated title]. 2021: Hungary.Google Scholar
López-Bastida, J, Oliva, J., Antonanzas, F., et al., Spanish recommendations on economic evaluation of health technologies. The European Journal of Health Economics. 2010;11(5):513520.CrossRefGoogle ScholarPubMed
The Agency for Health Technology Assessment and Tariff System , Health Technology Assessment Guidelines (version 3.0). 2016, Warsaw: The Agency for Health Technology Assessment and Tariff System.Google Scholar
China Guidelines for Pharmacoeconomic Evaluations 2020 Edition. Liu, GG, Hu, S, Wu, J, Wu, J, Dong, Z, Li, H, editors. Sponsored by: Chinese Pharmaceutical Association, China Society for Pharmacoeconomics and Outcomes Research; 2020.Google Scholar
CADTH Methods and guidelines, Guidelines for the Economic Evaluation of Health Technologies: Canada (4th Edition). 2017, Ottawa: CADTH.Google Scholar
Department of Health, Guidelines for Pharmacoeconomic Submissions. Republic of South Africa: Department of Health; 2012.Google Scholar
González, A.M.G., Methodological guide for economic evaluation in Health. Cuba. 2003, Havana: Ministry of Public Health National School of Public Health.Google Scholar
Institute for Clinical and Economic Review (ICER), Adapted value assessment methods for high-impact “Single and Short-Term Therapies” (SSTs); 2019.Google Scholar
Institute for Clinical and Economic Review (ICER), A Guide to ICER’s Methods for Health Technology Assessment; 2020.Google Scholar
Institute for Clinical and Economic Review (ICER), ICER’s Reference Case for Economic Evaluations: Principles and Rationale; 2020.Google Scholar
Institute for Clinical and Economic Review (ICER), 2020–2023 Value Assessment Framework: January 31, 2020 (Updated February 3, 2022); 2022.Google Scholar
Pearson, SD. Why the coming debate over the QALY and disability will be different. journal of law, medicine & ethics 2019;47(2):304–07.CrossRefGoogle Scholar
Indonesian Health Technology Assessment Committee (InaHTAC), Health Technology Assessment (HTA) Guideline. Jakarta: Ministry of Health, Indonesia; 2017.Google Scholar
Health Technology Assessment Unit, D.o.H., Philippine HTA Methods Guide, First Edition. Republic of the Philippines: Department of Health; 2020.Google Scholar
Essential Medicines and Technology Division (EMTD), D.o.M.S., Ministry of Health, Health technology Assessmenrt Process Guideline (2nd edition). Bhutan: Ministry of Health; 2018.Google Scholar
Wilkinson, T, Sculpher, M., Claxton, K., et al. The international decision support initiative reference case for economic evaluation: an aid to thought. Value in Health. 2016;19(8):921–28.CrossRefGoogle ScholarPubMed
Bertram, MY, Lauer, J. A., Stenberg, T T-T., et al. Methods for the economic evaluation of health care interventions for priority setting in the health system: an update from WHO CHOICE. International Journal of Health Policy Management 2021;10(11):673.CrossRefGoogle Scholar
Bertram, M.Y., et al., Progressive Realisation of Universal Health Coverage in Low-and Middle-Income Countries: Beyond the" Best Buys". 2021;10(11): 697.Google Scholar
European Network for Health Technology Assessment, Practical considerations when critically assessing economic evaluations. 2020.Google Scholar
Crown, W, et al. Application of constrained optimization methods in health services research: report 2 of the ISPOR optimization methods emerging good practices task force. Value Health, 2018;21(9):101928.CrossRefGoogle ScholarPubMed
Sullivan, SD, Mauskopf, J. A., Augustovski, F., et al. Budget impact analysis—principles of good practice: report of the ISPOR 2012 Budget Impact Analysis Good Practice II Task Force. Value Health, 2014;17(1): 514.CrossRefGoogle ScholarPubMed
Roberts, M, Russell, L. B., Paltiel, A.D., et al. Conceptualizing a model: a report of the ISPOR-SMDM modeling good research practices task force–2. Medical Decision Making. 2012;32(5):67889.CrossRefGoogle Scholar
Bridges, JF, Hauber, A. B., Marshall, D., et al. Conjoint analysis applications in health—a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. Value in Health 2011;14(4): 403–13.CrossRefGoogle Scholar
Crown, W., Buyukkaramikli, N., Thokala, P., et al. Constrained optimization methods in health services research—an introduction: report 1 of the ISPOR optimization methods emerging good practices task force. Value in Health, 2017;20(3):310–19.CrossRefGoogle ScholarPubMed
Ramsey, SD, Wilke, R. J., Glick, H., et al. Cost-effectiveness analysis alongside clinical trials II—an ISPOR Good Research Practices Task Force report. Value in Health. 2015;18(2):161–72.CrossRefGoogle Scholar
Wolowacz, SE, Briggs, A., Belozeroff, V., et al. Estimating health-state utility for economic models in clinical studies: an ISPOR good research practices task force report. Value Health. 2016;19(6):704–19.CrossRefGoogle ScholarPubMed
Johnson, ML, Crown, W., Martin, B.C., et al. Good research practices for comparative effectiveness research: analytic methods to improve causal inference from nonrandomized studies of treatment effects using secondary data sources: the ISPOR Good Research Practices for Retrospective Database Analysis Task Force Report—Part III. Value in Health 2009;12(8):1062-73.CrossRefGoogle Scholar
Cox, E., Martin, B. C., Van Staa, T., et al., Good research practices for comparative effectiveness research: approaches to mitigate bias and confounding in the design of nonrandomized studies of treatment effects using secondary data sources: the International Society for Pharmacoeconomics and Outcomes Research Good Research Practices for Retrospective Database Analysis Task Force Report—Part II. Value Health. 2009;12(8):1053–61.CrossRefGoogle ScholarPubMed
Berger, ML, Mamdani, M., Atkins, D., et al. Good research practices for comparative effectiveness research: defining, reporting and interpreting nonrandomized studies of treatment effects using secondary data sources: the ISPOR Good Research Practices for Retrospective Database Analysis Task Force Report—Part I. Value in Health. 2009;12(8):1044–52.CrossRefGoogle ScholarPubMed
Ramsey, S, Wilke, R., Briggs, A., et al. Good research practices for cost-effectiveness analysis alongside clinical trials: the ISPOR RCT-CEA Task Force report. Value in Health. 2005; 8(5):521533.CrossRefGoogle ScholarPubMed
Hay, JW, Smeeding, J., Carroll, N. V., et al. Good research practices for measuring drug costs in cost effectiveness analyses: issues and recommendations: the ISPOR Drug Cost Task Force Report—Part I. Value Health. 2010;13(1):37.CrossRefGoogle ScholarPubMed
Mansley, EC, Carroll, N. V., Chen, K. S., et al. Good research practices for measuring drug costs in cost-effectiveness analyses: a managed care perspective: The ISPOR Drug Cost Task Force Report—part III. Value Health. 2010;13(1):1417.CrossRefGoogle ScholarPubMed
Garrison, LP Jr, Mansley, E. C., Abbott, T. A. III, et al. Good research practices for measuring drug costs in cost-effectiveness analyses: a societal perspective: the ispor drug cost task force report—Part II. Value Health. 2010;13(1):813.CrossRefGoogle ScholarPubMed
Shi, L., Hodges, M., Drummond, M., et al. Good research practices for measuring drug costs in cost-effectiveness analyses: an international perspective: The ISPOR drug cost task force Report—Part VI. Value Health. 2010;13(1): 2833.CrossRefGoogle ScholarPubMed
Caro, JJ, et al. Modeling good research practices—overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force–1. Medical Decision Making., 2012;32(5):667–77.CrossRefGoogle ScholarPubMed
Karnon, J, et al. Modeling using discrete event simulation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force–4. Medical Decision Making, 2012;32(5):701711.CrossRefGoogle ScholarPubMed
Thokala, P., Devlin, N., Marsh, K., et al. Multiple criteria decision analysis for health care decision making—an introduction: report 1 of the ISPOR MCDA Emerging Good Practices Task Force. Value Health. 2016;19(1):113.CrossRefGoogle ScholarPubMed
Benjamin, K., Vernon, M. K., Patrick, D. L., et al. Patient-reported outcome and observer-reported outcome assessment in rare disease clinical trials: an ISPOR COA emerging good practices task force report. Value in Health. 2017;20(7):838855.CrossRefGoogle ScholarPubMed
Garrison, LP Jr, Towse, A., Briggs, A., et al. Performance-based risk-sharing arrangements—good practices for design, implementation, and evaluation: report of the ISPOR good practices for performance-based risk-sharing arrangements task force. Value Health. 2013;16(5):703719.CrossRefGoogle ScholarPubMed
Mauskopf, J. A., Towse, A., Briggs, A., et al. Principles of good practice for budget impact analysis: report of the ISPOR Task Force on good research practices—budget impact analysis. Value health. 2007;10(5): 336347.CrossRefGoogle ScholarPubMed
Siebert, U., Alagoz, O., Bayoumi, A.M., et al. State-transition modeling: a report of the ISPOR-SMDM modeling good research practices task force–3. Medical Decision Making. 2012;32(5):690700.CrossRefGoogle ScholarPubMed
Fenwick, E., Steuten, L., Knies, S., et al. Value of information analysis for research decisions—an introduction: report 1 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force. Value in Health. 2020;23(2):139150.CrossRefGoogle ScholarPubMed
Padula, W. V., Kreif, N., Vanness, D. J., et al. Machine Learning Methods in Health Economics and Outcomes Research—The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force. Value Health. 2022;25(7):10631080.CrossRefGoogle ScholarPubMed
Mullins, C. D., Seal, B., Seoane-Vazquez, E., et al. Good research practices for measuring drug costs in cost-effectiveness analyses: Medicare, Medicaid and other US government payers perspectives: the ISPOR Drug Cost Task Force report—Part IV. Value Health. 2010;13(1):1824.CrossRefGoogle ScholarPubMed
Marshall, DA, et al. Selecting a dynamic simulation modeling method for health care delivery research—Part 2: Report of the ISPOR Dynamic Simulation Modeling Emerging Good Practices Task Force. Value in health. 2015;18(2):147160.CrossRefGoogle ScholarPubMed
Marshall, DA, et al. Applying dynamic simulation modeling methods in health care delivery research—the SIMULATE checklist: report of the ISPOR simulation modeling emerging good practices task force. Value in health. 2015;18(1):516.CrossRefGoogle ScholarPubMed
Operationalization of the criteria “effectiveness, expediency and efficiency” according to Article 32 of the Federal Law on Health insurance (KVG) [translated title]. 2022, Federal Office of Public Health: Swtizerland.Google Scholar
Health Information and Quality Authority, Guidelines for the Economic Evaluation of Health Technologies in Ireland. 2020; Ireland.Google Scholar
Klimes, J., Mlÿoch, T., Pásztor, B. et al., Recommended procedures for health economic evaluations in the Czech Republic: Czech Society for Pharmacoeconomics and Health technology evaluation [Translated title]. 2020.Google Scholar
Ministry of Health of Ukraine, State assessment of medical technologies for medicinal products [translated title]. 2021;Ukraine.Google Scholar
Haute Autorité de Santé, Methodological Guidance: Choices in Methods for Economic Evaluation. 2020;France.Google Scholar
Irina Cleemput, MN, Van De Sande, Stefaab and Thiry, Nancy, Belgian Guidelines for Economic Evaluations and Budget Impact Analyses, 2nd ed. Brussels: Belgian Healthcare Knowledge Centre (KCE); 2015.Google Scholar
Pharmacoeconomic Unit, C.A.f.P.A., Guidelines for Reporting Pharmacoeconomic Evaluations (Version: 01). Egypt: Egyptian Drug Authority, Ministry of Health; 2013.Google Scholar
Agency for Quality and Accreditation in Health Care: Croatia: Department for Development Research and Health Technology Assessment, The Croatian Guideline for Health Technology Assessment Process and Reporting, 1st edn. Zagreb, Croatia: Agency fro Quality Accreditation in Health Care; 2011.Google Scholar
Pharmaceutical Management Agency (New Zealand) (PHARMAC), Prescription for Pharmacoeconomic Analysis: Methods for cost-utility analysis (Version 2.2). New Zealand: PHARMAC; 2015.Google Scholar
Taiwan Society for Pharmacoeconomic Outcomes Research (TaSPOR) , Guidelines of Methodological Standards for Parmacoeconomic Evaluations in Taiwan (Version 1.0). Taiwan: TaSPOR; 2006.Google Scholar
Attwood, S., Van Sluijs, E., and Sutton, S., Exploring equity in primary-care-based physical activity interventions using PROGRESS-Plus: a systematic review and evidence synthesis. International Journal of Behavioral Nutrition Physical Activity. 2016;13:116.CrossRefGoogle ScholarPubMed
Institute for Clinical and Economic Review (ICER), Adaptations to the ICER methods for evaluation of therapies for COVID-19; 2020.Google Scholar
Institute for Clinical and Economic Review (ICER), Modifications to the ICER value assessment framework for treatments for ultra-rare diseases: Final version, November 2017 (Updated January 31, 2020); 2020.Google Scholar
Agboola, F, Whittington, M and Pearson, S. Advancing Health Technology Assessment Methods that Support Health Equity, Institute for Clinical and Economic Review (ICER), Editor;2023.Google Scholar
Oortwijn, W., Husereau, D., Abelson, J., et al. Designing and implementing deliberative processes for health technology assessment: a good practices report of a Joint HTAi/ISPOR task force. Int J Technol Assess Health Care. 2022;38(1).CrossRefGoogle ScholarPubMed
Husereau, D., Drummond, M., Augustovski, F., et al. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 explanation and elaboration: a report of the ISPOR CHEERS II good practices task force. Value Health. 2022;25(1):1031.CrossRefGoogle ScholarPubMed
European Network for Health Technology Assessment, Endpoints used for Relative Effectiveness Assessment: HEALTH-RELATED QUALITY OF LIFE and UTILITY MEASURES. Final version [Internet]. Copenhagen: EUnetHTA ; 2013. 2015 (Adapted version).Google Scholar
European Network for Health Technology Assessment, Methods for health economic evaluations - A guideline based on current practices in Europe ; 2015.Google Scholar
Husereau, D., Drummond, M., Petrou, S., et al. Consolidated health economic evaluation reporting standards (CHEERS)—explanation and elaboration: a report of the ISPOR health economic evaluation publication guidelines good reporting practices task force. Value Health. 2013;16(2):231250.CrossRefGoogle ScholarPubMed
Briggs, A. H., Weinstein, M. C., Fenwick, E., et al. Model parameter estimation and uncertainty: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-6. Value Health. 2012;15(6): 835842.CrossRefGoogle ScholarPubMed
Weinstein, M. C., O’Brien, B., Hornberger, J., et al. Principles of good practice for decision analytic modeling in health-care evaluation: Report of the ISPOR task force on good research practices—modeling studies. Value in Health. 2003;6(1):917.CrossRefGoogle ScholarPubMed
Drummond, M., Brown, R., Fendrick, A. M., et al. Use of Pharmacoeconomics Information—Report of the ISPOR Task Force on use of pharmacoeconomic/health economic information in health-care decision making. Value in Health. 2003;6(4):407416.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Inclusion and exclusion criteria

Figure 1

Figure 1. Prisma flow diagram.

Figure 2

Figure 2. Year of publication – all guidance documents.

Figure 3

Figure 3. Year of publication – national guidelines.

Figure 4

Figure 4. Inclusion of healthcare access and equity in current guidance.

Supplementary material: File

Dawkins et al. supplementary material 1

Dawkins et al. supplementary material
Download Dawkins et al. supplementary material 1(File)
File 563.5 KB
Supplementary material: File

Dawkins et al. supplementary material 2

Dawkins et al. supplementary material
Download Dawkins et al. supplementary material 2(File)
File 33.5 KB
Supplementary material: File

Dawkins et al. supplementary material 3

Dawkins et al. supplementary material
Download Dawkins et al. supplementary material 3(File)
File 71.2 KB