Your browser doesn't support javascript.
loading
Home Health Nursing Care Time for Patients with Parkinson's Disease.
Iwasa, Yumi; Suzuki, Miyoko; Saito, Izumi.
Afiliación
  • Iwasa Y; Department of Nursing, Morinomiya University of Medical Sciences, 1-26-16 Nanko-kita, Suminoe-ku, Osaka 558-8611, Osaka, Japan.
  • Suzuki M; Department of Nursing, Graduate School of Health Sciences, Kobe University, 7-10-2 Tomogaoka, Suma-ku, Kobe 654-0142, Hyogo, Japan.
  • Saito I; Akebi, Home-Visit Nursing Station, 836-A Anase-Ueki, Shikama-ku, Himeji 672-8030, Hyogo, Japan.
J Pers Med ; 12(5)2022 Apr 29.
Article en En | MEDLINE | ID: mdl-35629137
ABSTRACT
There is an urgent need to provide personalized care more efficiently to patients with Parkinson's disease (PD) who live at home. To understand the impact of patient attributes and features on nursing care time, we assessed the amount of time required to perform home visits to patients with PD and identified patient characteristics related to differences in nursing care time. Twenty patient (median age 78.0 years) visits were video-recorded. Nursing care activities were categorized, while time spent on them was measured to identify differences in care time by patient. Correlations between patient characteristics and care times were calculated. The median time per visit was 49 min and 7 s. Time was mostly spent on daily living assistance (76.0%), followed by medical care assistance (10.0%) and record keeping and administration (14.0%). Results suggested that patient care was characterized by longer time spent on patient comfort, physical therapy, and patient consultation or education. In general, time per visit increased with patients' age. The variation in care implementation time tended to be large in daily living assistance and small in medical care assistance. These data may be useful for providing and managing personalized care for patients. These data can also contribute to making nurse care more specialized.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Pers Med Año: 2022 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Pers Med Año: 2022 Tipo del documento: Article País de afiliación: Japón
...