Evidence map›Paper›PMID 36424887›Full record

ArticleHealth economics2023

Partially different? The importance of general equilibrium in health economic evaluations: An application to nocturia.

Marco Hafner, Erez Yerushalmi, Fredrik L Andersson, Teodor Burtea

Abstract read
In one paragraph

Article in Health economics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  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

4 authors.

Marco HafnerRAND Europe, Cambridge, UK.ORCID 0000-0001-8428-014X
Erez YerushalmiBirmingham City Business School, Birmingham City University, Birmingham, UK.ORCID 0000-0002-9421-9067
Fredrik L AnderssonInternational PharmaScience Center, Ferring Pharmaceuticals A/S, Copenhagen, Denmark.ORCID 0000-0001-6304-5781
Teodor BurteaFerring International Center SA, Saint-Prex, Switzerland.ORCID 0000-0002-1192-6111

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both the human capital approach and the friction cost approach are frequently used to quantify the productivity costs associated with illness, disability or death in health economic evaluations. In this paper we argue that these approaches have one major, but common shortcoming: they only capture partial equilibrium (PE) effects and therefore underestimate the true potential productivity costs associated with health conditions. They neglect the sizable, indirect, ripple effects in the economy captured by general equilibrium (GE) models. To demonstrate our point, we compare a traditional PE with a GE approach for the application to nocturia, a condition characterized by the need to frequently wake up at night to urinate. Nocturia is associated with substantial impairment of daytime functioning and work productivity. We employ large-scale United Kingdom (UK) employer-employee survey data to estimate the prevalence and productivity loss. These estimates are then used as shared inputs to drive both approaches. We find that the traditional PE approach underestimates the annual productivity cost of clinically relevant nocturia by around 16%. We propose a generalized GE/PE multiplier to approximate the GE effect for other health conditions. Our findings stress the importance of accounting for sizable GE effects when conducting health economic evaluations.

Indexed as

NocturiaCost-Benefit AnalysisCost of IllnessEconomics, MedicalEfficiencyHumansSurveys and Questionnaireshealth economic evaluationsnocturiapartial general equilibriumsleepurology

Identifiers

PMID36424887
PMCPMC10100343

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.