Evidence map›Paper›PMID 40085544›Full record

ArticlePloS one2025

Methods for the health technology assessment of complex interventions: A scoping review.

Abdolvahab Baghbanian, Drew Carter, Tracy Merlin

Abstract readScoping Review
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

3 authors.

Abdolvahab BaghbanianAdelaide Health Technology Assessment, School of Public Health, University of Adelaide, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0003-3651-337X
Drew CarterAdelaide Health Technology Assessment, School of Public Health, University of Adelaide, Adelaide, South Australia, Australia.
Tracy MerlinAdelaide Health Technology Assessment, School of Public Health, University of Adelaide, Adelaide, South Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth Technology Assessment (HTA) methods have been developed to support evidence-informed policy-making by assessing the comparative value and costs of health interventions and programs. However, the complexity of many health interventions presents challenges to the use of conventional HTA methods. This scoping review collated and synthesised international approaches to the HTA of complex interventions including identifying assessment criteria, types of evidence and the domains of value that are most favoured. MATERIALS AND

methodsA systematic scoping review was conducted using JBI guidelines, Arksey and O'Malley's six-stage framework and recent advances in scoping review methodology. Seven electronic databases, grey literature sources, three leading HTA journals and backward citation searching were used to search complex intervention HTA records written in English from January 2000 to December 2023. Supplementary searches were also conducted to identify actual HTA reports produced by certain countries. The Population (or Participants), Concept and Context framework guided the literature selection process, with a two-phase screening process and subsequent narrative synthesis. The PRISMA-ScR checklist guided reporting. Independent screening by two reviewers ensured accuracy of study selection, and data extraction followed a customised form grounded in the HTA-core model.

resultsA total of 10684 references yielded 35 records from twelve countries. The review identified two clusters of research on HTA of complex interventions: methodological orientation and conceptual models (n = 19) and actual HTAs conducted on complex interventions (n = 16). Several evaluation criteria and domains were used or recommended for use that extended beyond the core HTA domains. Three distinct HTA approaches emerged: the integrative approach, highlighted in methodological guides and theoretical frameworks; and either sequential or concurrent approaches, emphasised in practical HTAs. In the theoretical literature, equal weight is given to various HTA domains for complex intervention assessment, but in practice, the scope and specificity of domains vary across reports, with countries exhibiting differing priorities. Cost-effectiveness, clinical effectiveness and organisational aspects predominated in complex intervention evaluation, albeit with gradually increasing emphasis on a technology's description, intended use, safety and patient and social aspects over the past decade. There was less focus on ethical and legal considerations. This trend is consistent with the evaluation of non-complex interventions in HTA. HTAs undertaken on complex interventions introduced unique domains like politics, implementation, early stakeholder engagement, outcome uncertainty, adaptive methods and real-world data, with expert opinion recommended when data were insufficient.

conclusionA shift towards considering broader contextual and implementation factors in the HTA of complex interventions was evident in this scoping review, extending beyond traditional HTA domains. However, discrepancies persist between theoretical and methodological guidance suggesting one approach and practical HTAs often adopting another. The implications of the shift towards contextual and implementation factors require exploration in future research. This could help to establish consensus on metrics and evidentiary elements, optimising HTA for complex health interventions.

Indexed as

Technology Assessment, BiomedicalCost-Benefit AnalysisHumans

Identifiers

PMID40085544
PMCPMC11908701

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.