Evidence map›Paper›PMID 36604686›Full record

ReviewBMC public health2023

Making visible the cost of informal caregivers' time in Latin America: a case study for major cardiovascular, cancer and respiratory diseases in eight countries.

Natalia Espinola, Andrés Pichon-Riviere, Agustín Casarini, Andrea Alcaraz, Ariel Bardach, Caitlin Williams, Federico Rodriguez Cairoli, Federico Augustovski, Alfredo Palacios

Open access · goldAbstract readReview
PubMed Publisher
In one paragraph

Review in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
12.7field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  13. On spillovers in economic evaluations: definition, mapping review and research agenda.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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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 at 2 institutions in 3 countries.

Natalia EspinolaInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina. nespinola@iecs.org.ar.
Andrés Pichon-RiviereInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina.
Agustín CasariniInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina.
Andrea AlcarazInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina.
Ariel BardachInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina.
Caitlin WilliamsInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina.
Federico Rodriguez CairoliInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina.
Federico AugustovskiInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina.
Alfredo PalaciosInstitute for Clinical Effectiveness and Health Policy (IECS), C1414CPV, Ciudad de Buenos Aires, Argentina.
Instituto de Efectividad Clínica y Sanitaria · ARCentro Científico Tecnológico - San Juan · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformal care is a key element of health care and well-being for society, yet it is scarcely visible and rarely studied in health economic evaluations. This study aims to estimate the time use and cost associated with informal care for cardiovascular diseases, pneumonia and ten different cancers in eight Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Mexico and Peru).

methodsWe carried out an exhaustive literature review on informal caregivers' time use, focusing on the selected diseases. We developed a survey for professional caregivers and conducted expert interviews to validate this data in the local context. We used an indirect estimate through the interpolation of the available data, for those cases in which we do not found reliable information. We used the proxy good method to estimate the monetary value of the use of time of informal care. National household surveys databases were processed to obtain the average wage per hour of a proxy of informal caregiver. Estimates were expressed in 2020 US dollars.

resultsThe study estimated approximately 1,900 million hours of informal care annually and $ 4,300 million per year in average informal care time cost for these fifteen diseases and eight countries analyzed. Cardiovascular diseases accounted for an informal care burden that ranged from 374 to 555 h per year, while cancers varied from 512 to 1,825 h per year. The informal care time cost share on GDP varied from 0.26% (Mexico) to 1.38% (Brazil), with an average of 0.82% in the studied American countries. Informal care time cost represents between 16 and 44% of the total economic cost (direct medical and informal care cost) associated with health conditions.

conclusionsThe study shows that there is a significant informal care economic burden -frequently overlooked- in different chronic and acute diseases in Latin American countries; and highlights the relevance of including the economic value of informal care in economic evaluations of healthcare.

Indexed as

CaregiversPatient CareCardiovascular DiseasesCosts and Cost AnalysisHumansLatin AmericaNeoplasmsPneumoniaTime FactorsEconomic evaluationIndirect costsInformal careLatin American region

Identifiers

PMID36604686
OpenAlexW4313560430

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.