Clinical Research Directory

Personalized Health Coaching for Patients With HF

Frailty in heart failure (HF) patients contributes to poor outcomes, emphasizing the need for effective management. In many previous studies, frailty interventions have mainly targeted physical frailty or focused community-dwelling patients, neglecting the multidimensional needs of hospitalized individuals. As a frailty for HF patients need to include clinical, functional, cognitive, and social domains, nurses must assess it holistically and provide personalized support, especially during care transitions. This study aims to evaluate the effectiveness of a nurse-led, personalized health coaching program for hospitalized HF patients with frailty through a randomized controlled trial. This 12-week intervention program targets hospitalized HF patients with frailty. After screening frailty HF patients using validated tools such as Fried's phenotype (FP), Tilburg Frailty Indicator (TFI), participants will be randomly assigned to either an intervention or control group. The intervention group will receive personalized health services, including pre-discharge education and weekly telephone coaching, addressing clinical, functional, psycho-cognitive, and social frailty domains. Psychiatric support and community integration program will be provided as needed. The control group will receive standard care. Frailty, QoL, and clinical outcomes will be measured at baseline, 12 weeks, and 24 weeks. The primary outcomes will be improvements in frailty and QoL. Frailty will be measured both multidimensional and each of the four domains of frailty for HF patients. This study will clarify the role of multidimensional personalized interventions in addressing adverse outcomes related to frailty in patients with HF, thereby providing evidence of their necessity in its management.

TELENURSING IN THE IMMEDIATE PREOPERATIVE PERIOD OF ELECTIVE SURGERIES

Introduction: Telenursing encompasses Nursing Consultation, Interconsultation, Consulting, Monitoring, Health Education and Reception of Spontaneous Demand mediated by Information and Communication Technology. Objective: To perform a cost-effectiveness analysis of telenursing in the immediate preoperative period of adult patients undergoing elective surgeries in a university hospital of the SUS. Materials and method: Cost-effectiveness analysis nested in a clinical trial or empirical economic analysis of the piggyback evaluation type. Divided into 2 phases: a) Experimental research - randomized clinical trial to be carried out in a university hospital located in Rio de Janeiro and part of the SUS, with two parallel groups - intervention and control - with 1:1 allocation. The inclusion criteria will be adult patients, of both sexes, in the immediate preoperative period who are admitted on the day of elective surgery from their home. Patients who are hospitalized, patients in ophthalmology and obstetrics specialties, and those who will undergo examinations in the surgical center will be excluded. The sample size calculation was performed with a 95% confidence level and a sample loss of 5%, totaling 352 patients. The sampling will be random. Randomization and allocation concealment will be performed by the independent researcher. Patients in the GI will receive telenursing on the day before surgery with an anamnesis script for telenursing by the main researcher. On the day of surgery, all patients on the surgical map who came from their residence will be directed to the nursing assessment room where the auxiliary researcher will apply the in-person anamnesis script. The data will be processed by two independent researchers in an electronic spreadsheet and will be analyzed using descriptive and inferential statistics. The research will respect all legal and ethical frameworks necessary for its implementation; b) Prospective analysis of complete economic evaluation - in the piggyback evaluation modality - of the cost-effectiveness type. The effectiveness of telenursing will be verified by the outcome of surgical cancellation. A decision tree model will be used with a view to analyzing the SUS user at the local level (microcosting). The time horizon will be two days. The cost-effectiveness threshold will be 1 GDP per capita and the data analysis will include deterministic and probabilistic sensitivity. Expected results: It is expected to prove that telenursing can be a safe and efficient method for guiding patients before surgery, generating greater patient satisfaction, increasing access to information about health care for users through remote communication with nurses, reducing the waiting list by reducing surgical cancellations and possible incorporation of telenursing as a consolidated practice in the university hospital studied.