Evidence map›Paper›PMID 35266072›Full record

ArticleHealth economics review2022

Sociodemographic and health factors associated with the risk of financial catastrophe when informal care for patients with haematological neoplasms is replaced by formal care.

Raúl Del Pozo-Rubio, Marta Ortega-Ortega

Open access · goldAbstract read
In one paragraph

Article in Health economics review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Raúl Del Pozo-RubioDepartment of Economics and Finance, Faculty of Social Sciences, University of Castilla-La Mancha, Avenida de los Alfares, 44. C.P.: 16.071, Cuenca, Spain. raul.delpozo@uclm.es.
Marta Ortega-OrtegaDepartment of Applied and Public Economics, and Political Economy, Complutense University of Madrid, Campus de Somosaguas s/n. 28.023, Madrid, Pozuelo de Alarcón, Spain.
Universidad Complutense de Madrid · ESUniversity of Castilla-La Mancha · ES

Funding

Spanish State Programme of R+D+I R+D+I ECO2017-83771-C3-1-R.
6 · The paper itself

Abstract

backgroundCancer is one of the diseases with the highest incidence and mortality in the world, and one that requires greater care (formal and informal). At present, the traditional informal caregiver is disappearing. The objective is to analyse the sociodemographic and health factors associated with the possible catastrophic financial effect on households of replacing informal care by formal care for patients with blood cancer, during the different stages of treatment in Spain.

methodsA total of 139 patients with haematological neoplasm who underwent stem cell transplantation completed a longitudinal questionnaire during each of three treatment phases. Of this population, 88.49% received informal care. The households were classified into those where the replacement of informal care with formal care would impose a financial burden exceeding 40% of equivalent household income, versus those who would not suffer this consequence. Three logistic regression models (one for each treatment phase) were estimated and the corresponding marginal effects determined.

resultsThe factors associated with a higher probability of financial catastrophe were married marital status, low education level, fair to very poor self-perceived health status, the diagnosis of leukaemia in the pre-transplant and first-year post-transplant phases and of multiple myeloma disease in the final post-transplant phase.

conclusionsThese findings reveal the need to design social policies to meet the care needs of patients with blood cancer which at present are covered by informal care. Given the foreseeable elimination of this option, these families must be protected from the financial burden incurred from the use of privately-contracted assistance.

Indexed as

Financial catastropheFormal careHaematologic neoplasmsInformal care

Identifiers

PMID35266072
PMCPMC8908606
OpenAlexW4220663580

What OpenQuestion holds

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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.