Examinando por Materia "Patient Readmission"

Mostrando 1 - 2 de 2

Acceso abierto
Evaluating the effectiveness of interventions to reduce hospital readmissions in patients with heart failure.
(Universidad Privada Norbert Wiener, 2018-12-02) Alza Landeo, Aurorita del Carmen; Gomez de la Cruz, Bertha Yakelin; Pretell Aguilar, Rosa Maria
The systematic review of 10 scientific articles, no older than 10 years, on the effectiveness of interventions to reduce hospital readmissions in heart failure patients, found in the databases: Scielo, Cochrane Plus, Lilacs, Pubmed, Medline, and analyzed according to the Grade scale to determine their evidence quality and strength of recommendation. RESULTS: Of the 10 articles reviewed: 40% randomized controlled trials, 20% systematic reviews and meta-analyses, 20% retrospective and prospective cohort studies, 10% multicenter quasi-experimental trial, and 10% experimental study. 80% of the reviews indicate that various interventions significantly reduce hospital readmissions, highlighting individualized consultations by each professional, with the nurse as the manager in individualized education promoting self-care; telephone follow-ups, home visits, early post-discharge care, the use of day hospitals for decompensations, and telemedicine. However, 20% indicate no differences, and in some cases, readmissions are not reduced, due to the heterogeneity of interventions and the few existing studies. CONCLUSIONS: Of the 10 articles reviewed, 8 indicate the effectiveness of interventions to reduce hospital readmissions in heart failure patients, and 2 articles are discordant regarding some interventions to decrease hospital readmissions.
Acceso abierto
Factors associated with the rehospitalization of patients with schizophrenia in the psychiatric hospital, Lima 2020.
(Universidad Privada Norbert Wiener, 2020-02-01) Cúneo Aléndez, Pamela Adriana; Pretell Aguilar, Rosa Maria
The approach used is quantitative, employing statistical methods for measuring and analyzing data on the rehospitalization of patients with schizophrenia. The design will be cross-sectional as data will be collected at a single point in time. It is retrospective, working with historical data from 2018 to 2019. The population consists of clinical records of patients diagnosed with schizophrenia who had more than one hospital admission between January 2018 and December 2019. According to hospital records, 244 patients had more than one admission during this period. The sampling technique used will be simple random sampling, the most common method for selecting a sample where each unit has an equal chance of being selected.