Evidence map›Paper›PMID 34169466›Full record

ReviewPharmacoEconomics2021

Aspects and Challenges of Resource Use Measurement in Health Economics: Towards a Comprehensive Measurement Framework.

Luca M M Janssen, Ruben M W A Drost, Aggie T G Paulus, Kirsty Garfield, William Hollingworth, Sian Noble, Joanna C Thorn, Irina Pokhilenko, Silvia M A A Evers

Abstract readReview
In one paragraph

Review in PharmacoEconomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  15. In Search for Comparability: The PECUNIA Reference Unit Costs for Health and Social Care Services in Europe.International journal of environmental research and public health · 2022
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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

9 authors.

Luca M M JanssenDepartment of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, Maastricht, The Netherlands. luca.janssen@maastrichtuniversity.nl.ORCID 0000-0002-0184-3742
Ruben M W A DrostDepartment of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, Maastricht, The Netherlands.ORCID 0000-0002-7428-040X
Aggie T G PaulusDepartment of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, Maastricht, The Netherlands.ORCID 0000-0002-2086-6106
Kirsty GarfieldDepartment of Population Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0002-8301-3602
William HollingworthDepartment of Population Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0002-0840-6254
Sian NobleDepartment of Population Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0002-8011-0722
Joanna C ThornDepartment of Population Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0001-8962-2428
Irina PokhilenkoDepartment of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, Maastricht, The Netherlands.ORCID 0000-0001-6390-2851
Silvia M A A EversDepartment of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, Maastricht, The Netherlands.ORCID 0000-0003-1026-570X

Funding

Medical Research Council MR/K025643/1
6 · The paper itself

Abstract

backgroundWhile the methods for conducting health economics research in general are improving, current guidelines provide limited guidance regarding resource use measurement (RUM). Consequently, a variety of methods exists, yet there is no overview of aspects to consider when deciding on the most appropriate RUM methodology. Therefore, this study aims to (1) identify and categorize existing knowledge regarding aspects of RUM, and (2) develop a framework that provides a comprehensive overview of methodological aspects regarding RUM.

methodsRelevant articles were identified by enrolling a search string in six databases and handsearching the DIRUM database. Included articles were descriptively reviewed and served as input for a comprehensive framework. Health economics experts were involved during the process to establish the framework's face validity.

resultsForty articles were included in the scoping review. The RUM framework consists of four methodological RUM domains: 'Whom to measure', addressing whom to ask and whom to measure; 'How to measure', addressing the different approaches of measurement; 'How often to measure', addressing recall period and measurement patterns; and 'Additional considerations', which covers additional aspects that are essential for further refining the methodologies for measurement. Evidence retrieved from the scoping review was categorized according to these domains.

conclusionThis study clustered the aspects of RUM methodology in health economics into a comprehensive framework. The results may guide health economists in their decision making regarding the selection of appropriate RUM methods and developing instruments for RUM. Furthermore, policy makers may use these findings to review study results from an evidence-based perspective.

Indexed as

Economics, MedicalDatabases, FactualHumansReproducibility of Results

Identifiers

PMID34169466
PMCPMC8352823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.