Complex management and descriptive cost analysis of kidney transplant candidates: a descriptive cross-sectional study

Pedreira Robles, Guillermo; Garcimartín Cerezo, Paloma; Pérez-Sáez, María José; Bach Pascual, Anna; Crespo Barrio, Marta; Morín Fraile, Victoria

doi:http://dx.doi.org/10.1186/s12913-024-11200-y

Complex management and descriptive cost analysis of kidney transplant candidates: a descriptive cross-sectional study

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Pedreira-Robles G, Garcimartín P, Pérez-Sáez MJ, Bach-Pascual A, Crespo M, Morín-Fraile V. Complex management and descriptive cost analysis of kidney transplant candidates: a descriptive cross-sectional study. BMC Health Serv Res. 2024 Jun 24;24(1):763. DOI: 10.1186/s12913-024-11200-y

Abstract

Background: The organisational care needs involved in accessing kidney transplant have not been described in the literature and therefore a detailed analysis thereof could help to establish a framework (including appropriate timing, investment, and costs) for the management of this population. The main objective of this study is to analyse the profile and care needs of kidney transplant candidates in a tertiary hospital and the direct costs of studying them. Methods: A descriptive, cross-sectional study was conducted using data on a range of variables (sociodemographic and clinical characteristics, study duration, and investment in visits and supplementary tests) from 489 kidney transplant candidates evaluated in 2020. Results: The comorbidity index was high (> 4 in 64.3%), with a mean of 5.6 ± 2.4. Part of the study population had certain characteristics that could hinder their access a kidney transplant: physical dependence (9.4%), emotional distress (33.5%), non-adherent behaviours (25.2%), or language barriers (9.4%). The median study duration was 6.6[3.4;14] months. The ratio of required visits to patients was 5.97:1, meaning an investment of €237.10 per patient, and the ratio of supplementary tests to patients was 3.5:1, meaning an investment of €402.96 per patient. Conclusions: The study population can be characterised as complex due to their profile and their investment in terms of time, visits, supplementary tests, and direct costs. Management based on our results involves designing work-adaptation strategies to the needs of the study population, which can lead to increased patient satisfaction, shorter waiting times, and reduced costs.