Evidence map›Paper›PMID 39420844›Full record

ArticleInternational journal of technology assessment in health care2024

Preparing early economic evaluations for the development and management of health service interventions.

Andrew Partington, Maria Crotty, Kate Laver, Leanne Greene, Hossein Haji Ali Afzali, Jonathan Karnon

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Defining early health technology assessment: building consensus using Delphi technique.International journal of technology assessment in health care · 2025
    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

6 authors.

Andrew PartingtonCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.ORCID https://orcid.org/0000-0003-2580-3355
Maria CrottyCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Kate LaverCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Leanne GreeneCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Hossein Haji Ali AfzaliCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.ORCID https://orcid.org/0000-0002-0198-8394
Jonathan KarnonCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.ORCID https://orcid.org/0000-0003-3220-2099

Funding

National Health and Medical Research Council Medical Research Future Fund: MRF2018573
6 · The paper itself

Abstract

objectivesWe draw from the Health Technology Assessment (HTA) literature to propose how hospitals and local health networks can prepare the key components of early economic evaluations to support the development and management of health service interventions.

methodsUsing the case example of a proposed intervention for older people in the Emergency Department (ED), a conceptual logic model of a new health service intervention is articulated to inform the structuring and population of a decision-analytic model using observed data on the existing care comparator and structured elicitation exercise of initial stakeholder expectations of intervention effects.

resultsThe elicited patient pathway probabilities and lengths of stay quantities profile which of the existing types of patients are expected to avoid the ED and how this impacts the lengths of stay across the system. The exercise also quantifies the stakeholders' uncertainty and disagreement, with qualitative insights into why. The elicitation exercise participants draw upon the rationale for how the intervention is expected to affect a change within the local context, as captured within the logic model, together with the descriptive analyses of the characteristics and utilization of their target population. Feedback indicates the methods are acceptably robust yet pragmatic enough for healthcare delivery settings.

conclusionsAs proposed in this paper, HTA methods can be used to capture how key stakeholders initially expect a service intervention to affect a change within their local context. The example results can be used in a decision-analytic model to guide the development and management of an intervention.

Indexed as

Cost-Benefit AnalysisEmergency Service, HospitalTechnology Assessment, BiomedicalAgedDecision Support TechniquesHumansLength of Staydevelopment-focused HTAearly HTAhealthcare deliverymodellingservice technologies

Identifiers

PMID39420844
PMCPMC11563182

What OpenQuestion 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 OpenQuestion graph.