Evidence map›Paper›PMID 42754763›Full record

ArticlePharmacoEconomics2026

Beyond Narrative and Tabular Synthesis: Introducing an Approach-Rationale-Note (ARN) Framework for Thematic Evidence Synthesis in Economic Evaluation Reviews.

Mehdi Yousefi, Amy Grove, Jo Parsons, Somayeh Fazaeli, Peter Auguste

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mehdi YousefiCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.ORCID http://orcid.org/0000-0002-4791-7866
Amy GroveCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.ORCID http://orcid.org/0000-0002-8027-7274
Jo ParsonsCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.ORCID http://orcid.org/0000-0002-6542-8492
Somayeh FazaeliSchool of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID http://orcid.org/0000-0002-8292-7381
Peter AugusteCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK. p.e.auguste.1@bham.ac.uk.ORCID http://orcid.org/0000-0001-5143-3218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional evidence synthesis in systematic literature reviews (SLRs) of economic evaluations typically provides a narrative description of modelling approaches used across studies and rarely examines the underlying rationale for these choices or their interpretation. This study develops and applies a thematic synthesis approach to analyse modelling decisions reported in economic evaluations.

objectiveThe aim of this study was to introduce and apply an Approach-Rationale-Note (ARN) framework for thematic evidence synthesis in economic evaluation SLRs and demonstrate its application using economic evaluations of treatments for spinal muscular atrophy (SMA).

methodsEvidence from a previously conducted SLR of economic evaluations of SMA treatments was synthesised using a deductive thematic approach. The ARN framework structured the analysis by distinguishing modelling approaches, their rationales, and contextual observations relevant to interpretation. Analytical domains and dimensions were developed iteratively to enable comparison of modelling decisions across studies, with their selection guided by the review question and the methodological issues identified in the evidence base.

resultsSubstantial variation in modelling approaches was observed across key ARN domains, including model structure, health state definitions, treatment effect assumptions, extrapolation methods, and the handling of uncertainty. While several studies adopted similar modelling approaches, the rationales provided for these choices varied considerably. Health technology assessment (HTA) sources frequently highlighted uncertainty related to long-term outcomes, treatment durability, and survival extrapolation.

conclusionsA structured thematic synthesis of modelling decisions enables comparison not only of the approaches used in economic evaluations but also of the underlying reasoning behind those choices. The ARN framework provides a transparent and complementary approach for examining methodological decision making in economic modelling studies and may support improved interpretation of modelling assumptions in HTA and related evidence syntheses.

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.