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1.
J Soc Work End Life Palliat Care ; 18(2): 122-124, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-34923921
3.
Clin J Am Soc Nephrol ; 13(4): 620-627, 2018 04 06.
Artigo em Inglês | MEDLINE | ID: mdl-29581107

RESUMO

BACKGROUND AND OBJECTIVES: Barriers exist in access to kidney transplantation, where minority and patients with low socioeconomic status are less likely to complete transplant evaluation. The purpose of this study was to examine the effectiveness of a transplant center-based patient navigator in helping patients at high risk of dropping out of the transplant evaluation process access the kidney transplant waiting list. DESIGN, SETTING, PARTICIPANTS & MEASUREMENTS: We conducted a randomized, controlled trial of 401 patients (n=196 intervention and n=205 control) referred for kidney transplant evaluation (January 2013 to August 2014; followed through May 2016) at a single center. A trained navigator assisted intervention participants from referral to waitlisting decision to increase waitlisting (primary outcome) and decrease time from referral to waitlisting (secondary outcome). Time-dependent Cox proportional hazards models were used to determine differences in waitlisting between intervention and control patients. RESULTS: At study end, waitlisting was not significantly different among intervention (32%) versus control (26%) patients overall (P=0.17), and time from referral to waitlisting was 126 days longer for intervention patients. However, the effectiveness of the navigator varied from early (<500 days from referral) to late (≥500 days) follow-up. Although no difference in waitlisting was observed among intervention (50%) versus control (50%) patients in the early period (hazard ratio, 1.03; 95% confidence interval, 0.69 to 1.53), intervention patients were 3.3 times more likely to be waitlisted after 500 days (75% versus 25%; hazard ratio, 3.31; 95% confidence interval, 1.20 to 9.12). There were no significant differences in intervention versus control patients who started evaluation (85% versus 79%; P=0.11) or completed evaluation (58% versus 51%; P=0.14); however, intervention patients had more living donor inquiries (18% versus 10%; P=0.03). CONCLUSIONS: A transplant center-based navigator targeting disadvantaged patients improved waitlisting but not until after 500 days of follow-up. However, the absolute effect was relatively small.


Assuntos
Transplante de Rim , Navegação de Pacientes , Listas de Espera , Adulto , Idoso , Feminino , Humanos , Falência Renal Crônica/cirurgia , Masculino , Pessoa de Meia-Idade , Pacientes Desistentes do Tratamento , Encaminhamento e Consulta , Fatores de Risco , Fatores de Tempo
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