Characteristics clinical studies.

Characteristics clinical studies.

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eHealth (“electronic” Health) is a new field in medicine that has the potential to change medical care, increase efficiency, and reduce costs. In this review, we analyzed the current status of eHealth in transplantation by performing a PubMed search over the last 5 years with a focus on clinical studies for post‐transplant care. We retrieved 463 ma...

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... summary (Fig. 1), we retrieved 68 publications: 16 reviews and 52 manuscripts with eHealth solutions for post-transplant care. There were 35 clinical studies (Table 1, Table S1) including eight randomized controlled trials (RCT), 13 descriptions of eHealth pilots without clinical results, and four articles covering various aspects (medical imaging, histopathology). Ten/35 clinical studies were prospective cohort studies, 4/35 retrospective studies, 7/35 cross-sectional investigations, and 4/35 described qualitative research. ...
Context 2
... of data protection and security of data transfer were mentioned in most publications, but the exact data protection concepts were not outlined in greater detail (Table 1). There are numerous steps involved in building a secure app or platform including secure encryption, transmission, and data storage. ...

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... Embora não tenhamos dados mais específicos do nosso estudo, alguns fatores já foram descritos como decisivos no engajamento com as ferramentas mHealth, como a personalização, comunicação, navegação, credibilidade, apresentação e aparência das ferramentas (31) . Outros elementos que também se destacam são o automonitoramento, feedback personalizado e gameficação (34) e o incentivo do uso por profissionais envolvidos no cuidado (26,30) . ...
... Os recém-transplantados podem apresentar maior aceitação à mHealth pela contribuição na incorporação dos cuidados na rotina (16) . Dessa forma, é provável que (26) , sendo necessário planejar a integração dessas tecnologias no fluxo de trabalho dos programas de transplante (4) . Entretanto, mesmo em intervenções com ferramentas eHealth guiadas por profissionais de saúde e pesquisadores, como nos ensaios clínicos randomizados com longo período de acompanhamento, observa-se que os hábitos incentivados não se sustentam após a conclusão dos estudos devido à interrupção do reforço periódico (4) . ...
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Resumo Objetivo: avaliar o uso do aplicativo Renal Health por transplantados renais. Método: estudo observacional retrospectivo com amostra composta por usuários que realizaram cadastro na seção para transplantados renais do aplicativo de julho de 2018 a abril de 2021. Foram coletadas as seguintes variáveis: dados demográficos, inserção de dados, tempo de uso, registros de peso, pressão arterial, glicemia, creatinina, horários das medicações, consultas e exames. Realizou-se análise descritiva dos dados. Resultados: houve 1.823 downloads do aplicativo e 12,3% cadastraram-se na seção para transplantados renais, a maioria do Sudeste do Brasil (44,9%), com 36±11 anos e do sexo feminino (59,1%). Da amostra, 35,1% inseriram informações como creatinina (62%), peso (58,2%) e pressão arterial (51,8%). A maioria utilizou o aplicativo por um dia (63,3%) e 13,9% por mais de cem dias. Os que utilizaram por mais de um dia (36,7%), inseriram peso (69%), agendaram consultas (69%), medicações (65,5%) e creatinina (62%). Conclusão: a seção para transplantados renais do aplicativo Renal Health despertou interesse na população jovem, mas apresentou baixa adesão ao longo dos meses avaliados. Esses resultados oferecem perspectiva relevante na implementação de tecnologias mHealth no transplante renal.
... As a patient-centred system of care that addresses chronically ill persons' complex care needs, limited, as their developers rarely address multi-level barriers, i.e., those at the patient, health care provider and health care organizational levels [1,2]. Therefore, implementation aspects of eHealth solutions in general and of eICMs in particular have largely been disregarded [25,34]. Afforded little credibility, even the best are often stranded for years in the wasteland between publication and implementation. ...
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Background While effectiveness outcomes of eHealth-facilitated integrated care models (eICMs) in transplant and oncological populations are promising, implementing and sustaining them in real-world settings remain challenging. Allogeneic stem cell transplant (alloSCT) patients could benefit from an eICM to enhance health outcomes. To combat health deterioration, integrating chronic illness management, including continuous symptom and health behaviour monitoring, can shorten reaction times. We will test the 1st-year post-alloSCT effectiveness and evaluate bundled implementation strategies to support the implementation of a newly developed and adapted eICM in allogeneic s te m cell transplantation facilitated by eHealth (SMILe–ICM). SMILe-ICM has been designed by combining implementation, behavioural, and computer science methods. Adaptions were guided by FRAME and FRAME-IS. It consists of four modules: 1) monitoring & follow-up; 2) infection prevention; 3) physical activity; and 4) medication adherence, delivered via eHealth and a care coordinator (an Advanced Practice Nurse). The implementation was supported by contextually adapted implementation strategies (e.g., creating new clinical teams, informing local opinion leaders). Methods Using a hybrid effectiveness-implementation randomised controlled trial, we will include a consecutive sample of 80 adult alloSCT patients who were transplanted and followed by University Hospital Basel (Switzerland). Inclusion criteria are basic German proficiency; elementary computer literacy; internet access; and written informed consent. Patients will be excluded if their condition prevents the use of technology, or if they are followed up only at external centres. Patient-level (1:1) stratified randomisation into a usual care group and a SMILe-ICM group will take place 10 days pre-transplantation. To gauge the SMILe–ICM’s effectiveness primary outcome (re-hospitalisation rate), secondary outcomes (healthcare utilization costs; length of inpatient re-hospitalizations, medication adherence; treatment and self-management burden; HRQoL; Graft-versus-Host Disease rate; survival; overall survival rate) and implementation outcomes (acceptability, appropriateness, feasibility, fidelity), we will use multi-method, multi-informant assessment (via questionnaires, interviews, electronic health record data, cost capture methods). Discussion The SMILe–ICM has major innovative potential for reengineering alloSCT follow-up care, particularly regarding short- and medium-term outcomes. Our dual focus on implementation and effectiveness will both inform optimization of the SMILe-ICM and provide insights regarding implementation strategies and pathway, understudied in eHealth-facilitated ICMs in chronically ill populations. Trial registration ClinicalTrials.gov. Identifier: NCT04789863 . Registered April 01, 2021.
... Early phases of the pandemic saw strong uptake (and acceptance) of telemedicine (9)(10)(11). Some discussants spoke of immediate efficiencies when consultations moved to virtual platforms, including reduced travel burden for staff and patients. ...
... Discussants said that patients remained reluctant to attend in-person appointments, even when essential, although telemedicine remained well received (11,(36)(37)(38)(39). Nevertheless, data on the impact of telemedicine in kidney transplant populations specifically are lacking, and the group spoke of continuing inequalities/access barriers (38,39). ...
... Discussants said that patients remained reluctant to attend in-person appointments, even when essential, although telemedicine remained well received (11,(36)(37)(38)(39). Nevertheless, data on the impact of telemedicine in kidney transplant populations specifically are lacking, and the group spoke of continuing inequalities/access barriers (38,39). Reimbursement for telemedicine remains unresolved in many countries, although for successful implementation see Duettman et al. (11). Hospital-community and hospital-diagnostic partnerships continue, but initiatives have not been objectively evaluated. ...
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This article gives a personal, historical, account of the impact of the COVID-19 pandemic on transplantation services. The content is based on discussions held at two webinars in November 2020, at which kidney transplantation experts from prestigious institutions in Europe and the United States reflected on how the pandemic affected working practices. The group discussed adaptations to clinical care (i.e., ceasing, maintaining and re-starting kidney transplantations, and cytomegalovirus infection management) across the early course of the pandemic. Discussants were re-contacted in October 2021 and asked to comment on how transplantation services had evolved, given the widespread access to COVID-19 testing and the roll-out of vaccination and booster programs. By October 2021, near-normal life and service delivery was resuming, despite substantial ongoing cases of COVID-19 infection. However, transplant recipients remained at heightened risk of COVID-19 infection despite vaccination, given their limited response to mRNA vaccines and booster dosing: further risk-reduction strategies required exploration. This article provides a contemporaneous account of these different phases of the pandemic from the transplant clinician’s perspective, and provides constructive suggestions for clinical practice and research.
... 9 There are several steps in LT in which telemedicine could be implemented in such as triage of patients, management of patients with chronic liver disease, post-transplantation care, and follow-ups of patients. 12 Although organ transplant patients are not considered as a confirmed high-risk population for the development of severe Coronavirus disease, 13 the healthcare providers 5 and immunosuppressed patients are afraid to attend in-person visits. 14 Therefore, telemedicine rises in popularity for post-transplantation care visits. ...
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Resumen Objetivo: evaluar el uso de la aplicación Renal Health por parte de los receptores de trasplante renal. Método: estudio observacional retrospectivo con una muestra compuesta por usuarios que se registraron en la sección de trasplantados renales dentro de la aplicación desde julio de 2018 hasta abril de 2021. Se recolectaron las siguientes variables: datos demográficos, ingreso de datos, tiempo de uso, registros de peso, presión arterial, glucosa en sangre, creatinina, esquemas de medicación, consultas y exámenes. Se realizó un análisis descriptivo de los datos. Resultados: Ocurrieron 1.823 descargas de la aplicación y 12,3% se registró en la sección de trasplantados, la mayoría del sudeste de Brasil (44,9%), con edad de 36±11 años y del sexo femenino (59,1%). De la muestra, 35,1% ingresó información como: creatinina (62%), peso (58,2%) y presión arterial (51,8%). La mayoría utilizó la aplicación durante un día (63,3%) y el 13,9% más de cien días. Quienes lo usaron por más de un día (36,7%), agregaron peso (69%), programación de consultas (69%), medicación (65,5%) y creatinina (62%). Conclusión: la sección para trasplantados renales de la aplicación Renal Health despertó interés en la población joven, pero mostró baja adherencia en los meses evaluados. Estos resultados ofrecen una perspectiva relevante en la implementación de tecnologías mHealth en el trasplante renal.
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Objective: to evaluate the use of a renal health application by kidney transplant recipients. Method: a retrospective, observational study with a sample composed of individuals registered in the kidney transplant section of the application from July of 2018 to April of 2021. Demographic data, data entry, time of use, weight, blood pressure, blood glucose, creatinine, medication schedules, appointments, and tests were the variables collected. Descriptive analysis of the data was performed. Results: eight hundred and twenty-three downloads of the application were identified, and 12.3% of those were registered as kidney transplant recipients, the majority from southeastern Brazil (44.9%), 36±11 years old, and female (59.1%). Of the sample, 35.1% entered information such as creatinine (62%), weight (58.2%), and blood pressure (51.8%). Most used the application for one day (63.3%) and 13.9% for more than one hundred days. Those who used it for more than one day (36.7%) recorded weight (69%), medication intake (65.5%) and creatinine (62%), and scheduled appointments (69%). Conclusion: the kidney transplant recipient section of the Renal Health application generated interest in the young population, but showed low adherence throughout the assessed months. These results offer a relevant perspective on the implementation of mHealth technologies in kidney transplantation.
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Introduction: Antibody-mediated rejection (ABMR) is a leading cause of kidney allograft failure. Its therapy continues to be challenge, and no treatment has been approved for the market thus far. Areas covered: In this article, we discuss the pathophysiology and phenotypic presentation of ABMR, the current level of evidence to support the use of available therapeutic strategies, and the emergence of tailored drugs now being evaluated in systematic clinical trials. We searched PubMed, Clinicaltrials.gov and Citeline's Pharmaprojects for pertinent information on emerging anti-rejection strategies, laying a focus on phase II and III trials. Expert opinion: Currently, we rely on the use of apheresis for alloantibody depletion and intravenous immunoglobulin (referred to as standard of care), preferentially in early active ABMR. Recent systematic trials have questioned the benefits of using the CD20 antibody rituximab or the proteasome inhibitor bortezomib. However, there are now several promising treatment approaches in the pipeline, which are being trialed in phase II and III studies. These include interleukin-6 antagonism, CD38-targeting antibodies, and selective inhibitors of complement. On the basis of the information that has emerged so far, it seems that innovative treatment strategies for clinical use in ABMR may be available within the next 5-10 years.
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Background: Monitoring proteinuria in patients with kidney disease is of crucial importance given its implications for long-term disease progression and clinical management. Leveraging digital health technology to provide a clinical grade urinalysis result from home holds the potential to greatly enhance the clinical experience and workflows for patients, caregivers, and providers. The goal of this study was to evaluate the acceptability and feasibility of a home-based urinalysis kit using a smartphone application. Methods: This is a prospective cohort study of children and young adults (5-21 years of age) at a single pediatric center. The study received ethical board approval. Families performed a home urine test using the Healthy.io smartphone app. The app was compared with standard of care of either home dipstick monitoring or urinalysis performed in clinic or a local laboratory. Patient satisfaction was compared between the new app and current practice. Results: A total of 103 children, 63 (61%) male and median age 10.9 years (inter-quartile range 7.8-14.2), were enrolled. Primary diagnosis included 47 (46%) glomerular disease, 48 (47%) non-glomerular kidney disease, and 8 (8%) kidney transplant recipients. One hundred and one (98%) patients reported being satisfied with the smartphone app compared to 41 (40%) patients who were satisfied with the current practice for urine protein monitoring (p < 0.0001). Positive themes identified included ease of use, convenience, and immediacy and accuracy of results. Conclusions: The Healthy.io home urine testing app received very high rates of satisfaction among patients and caregivers compared to current practice and holds great potential to enhance patient-centered care. A higher resolution version of the Graphical abstract is available as Supplementary information.