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1.
J Am Board Fam Med ; 36(6): 966-975, 2024 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-37907349

RESUMO

BACKGROUND: Advance care planning (ACP), a process of sharing one's values and preferences for future medical treatments, can improve quality of life, reduce loved ones' anxiety, and decrease unwanted medical utilization and costs. Despite benefits to patients and health care systems, ACP uptake often remains low, due partially to lack of knowledge and difficulty initiating discussions. Digital tools may help reduce these barriers to entry. METHODS: We retrospectively examined data from pilot deployment of Koda Health patient-facing ACP among Houston Methodist Coordinated Care patients, for quality improvement (QI) purposes. Patients referred by nurse navigators could access Koda's digital platform, complete ACP, and share the legal documentation generated. Analyzed measures include usage rates and ACP-related decisions within the platform. RESULTS: Of eligible patients (n = 203), 52.7% voluntarily completed their plan. Engagement and completion rates were similar across demographics. Patients indicated majority preference (66.4%) toward spending the last days of life at home. Most patients indicated wanting no life-support intervention if quality of life became unacceptable (51 to 71% across 4 treatments). Life-support decisions were similar between demographic categories, excepting CPR and dialysis, wherein a greater portion of Black patients than White patients preferred at least trial intervention, rather than none. CONCLUSIONS: As an observational QI analysis, limitations include bounded geographical reach and lack of data on ACP impacts to subsequent health care utilization, which future studies will address. Findings suggest that digital health tools like Koda can effectively facilitate equitable ACP access and may help support health systems and providers in offering comprehensive ACP.


Assuntos
Organizações de Assistência Responsáveis , Planejamento Antecipado de Cuidados , Humanos , Estudos Retrospectivos , Qualidade de Vida
2.
Gynecol Oncol ; 154(3): 558-564, 2019 09.
Artigo em Inglês | MEDLINE | ID: mdl-31288949

RESUMO

OBJECTIVE: Cervical cancer rates in the United States have declined since the 1940's, however, cervical cancer incidence remains elevated in medically-underserved areas, especially in the Rio Grande Valley (RGV) along the Texas-Mexico border. High-resolution microendoscopy (HRME) is a low-cost, in vivo imaging technique that can identify high-grade precancerous cervical lesions (CIN2+) at the point-of-care. The goal of this study was to evaluate the performance of HRME in medically-underserved areas in Texas, comparing results to a tertiary academic medical center. METHODS: HRME was evaluated in five different outpatient clinical settings, two in Houston and three in the RGV, with medical providers of varying skill and training. Colposcopy, followed by HRME imaging, was performed on eligible women. The sensitivity and specificity of traditional colposcopy and colposcopy followed by HRME to detect CIN2+ were compared and HRME image quality was evaluated. RESULTS: 174 women (227 cervical sites) were included in the final analysis, with 12% (11% of cervical sites) diagnosed with CIN2+ on histopathology. On a per-site basis, a colposcopic impression of low-grade precancer or greater had a sensitivity of 84% and a specificity of 45% to detect CIN2+. While there was no significant difference in sensitivity (76%, p = 0.62), the specificity when using HRME was significantly higher than that of traditional colposcopy (56%, p = 0.01). There was no significant difference in HRME image quality between clinical sites (p = 0.77) or medical providers (p = 0.33). CONCLUSIONS: HRME imaging increased the specificity for detecting CIN2+ when compared to traditional colposcopy. HRME image quality remained consistent across different clinical settings.


Assuntos
Colonoscopia/economia , Colonoscopia/métodos , Área Carente de Assistência Médica , Lesões Pré-Cancerosas/diagnóstico por imagem , Neoplasias do Colo do Útero/diagnóstico por imagem , Feminino , Humanos , Processamento de Imagem Assistida por Computador , Gradação de Tumores , Lesões Pré-Cancerosas/economia , Estudos Prospectivos , Sensibilidade e Especificidade , Texas , Estados Unidos , Neoplasias do Colo do Útero/patologia , Displasia do Colo do Útero/diagnóstico por imagem , Displasia do Colo do Útero/economia
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