Evidence map›Paper›PMID 37594668›Full record

ArticlePharmacoEconomics2023

Are We Capturing the Socioeconomic Burden of Rare Genetic Disease? A Scoping Review of Economic Evaluations and Cost-of-Illness Studies.

Deborah A Marshall, Brittany Gerber, Diane L Lorenzetti, Karen V MacDonald, Riley Jewel Bohach, Gillian R Currie

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  5. Genomics in Health and Biomedicine.Advances in experimental medicine and biology · 2026
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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

6 authors at 1 institution in 1 country.

Deborah A MarshallDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-8467-8008
Brittany GerberDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.ORCID 0000-0001-5370-2135
Diane L LorenzettiDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.ORCID 0000-0001-8423-3458
Karen V MacDonaldDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.ORCID 0000-0001-7739-4296
Riley Jewel BohachDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Gillian R CurrieDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada. currie@ucalgary.ca.ORCID 0000-0002-4681-9893
University of Calgary · CA

Funding

CIHR 429362
6 · The paper itself

Abstract

BACKGROUND AND

objectivesRare diseases have a significant impact on patients, families, the health system, and society. Measuring the socioeconomic burden is crucial to valuing interventions for rare diseases. Healthcare system costs are significant, but so are costs to other government sectors, patients, families, and society. To understand the breadth of costs captured in rare disease studies, we examined the cost categories and elements of socioeconomic burden captured in published studies.

methodsA scoping review was conducted using five electronic databases to identify English language economic evaluations and cost-of-illness studies of interventions for rare diseases (2011-21). We mapped costs using a previously developed evidence-informed framework of socioeconomic burden costs for rare disease.

resultsOf 4890 studies identified, 48 economic evaluations and 22 cost-of-illness studies were included. While 18/22 cost-of-illness studies utilized a societal perspective, only 7/48 economic evaluations incorporated societal costs. Most reported cost categories related to medical costs, with medication and hospitalizations being the most common elements for both study designs. Costs borne by patients, families, and society were reported less among economic evaluations than cost-of-illness studies. These included: productivity (10% vs 77%), travel/accommodation (6% vs 68%), government benefits (4% vs 18%), and family impacts (0% vs 50%).

conclusionsContrary to cost-of-illness analyses, most of the included economic evaluations did not account for the hidden burden of rare diseases, that is, costs borne by patients, families, and societies. Including these types of costs in future studies would provide a more comprehensive picture of the burden of disease, providing empirical data to inform how we value and make decisions regarding rare disease interventions, health policy, and resource allocation.

Indexed as

Health Care CostsRare DiseasesCost-Benefit AnalysisDelivery of Health CareHumansSocioeconomic Factors

Identifiers

PMID37594668
OpenAlexW4385968941

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.