Supervivencia, según la Palliative Performance Scale, de pacientes oncológicos trasladados a unidades de cuidados paliativos de media estancia por un equipo de soporte hospitalario

Zamora, Miguel Ángel Sancho; Plana, María Nieves; Zamora, Javier; Cano, Lourdes Rexach; Millas, Isabel Cañada; Álvaro, Alicia Díaz; Roncero, Ana Gómez

doi:10.1016/j.medipa.2012.07.004

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…Online questionnaires commonly used in clinical practice were used, selected for their particular interest to clinical managers. The questionnaires, and their purposes, were as follows: the revised version of the Edmonton Symptom Assessment System (ESAS), which measures the presence and intensity of the most frequent symptoms experienced by the patient [11]; Rome IV, which analyzes the presence of constipation [12]; the Bristol Stool Scale, which registers fecal shape and type [13]; an adaptation of the Palliative Performance Status (PPS) scale, which provides analysis of the patient's functional status [14]; and medication adherence, for which items were collected that prompted users to remember the correct intake of opioid medications ("Has the treatment been taken according to the prescription? "; responses were yes or no) and the number of extra "rescue" medications used in the last 24 hours, in addition to those initially prescribed (the reason for this use was also requested, with responses including "treatment of pain," "respiratory distress," "anxiety," and "insomnia").…”

Section: Questionnairesmentioning

confidence: 99%

A Smart System for Remote Monitoring of Patients in Palliative Care (HumanITcare Platform): Mixed Methods Study

Padrós¹,

Hernández²,

Paracolls³

et al. 2023

JMIR Form Res

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Background Due to the complexities of advanced illnesses and their treatments, it can be difficult for patients in palliative care to maintain their quality of life. Telemedicine interventions in chronic disease management engage patients in their care, provide continuous follow-up by their health care providers, identify symptoms earlier, and allow a quick response to illness-related decline. Objective We aimed to detail and reflect on the design of an app and evaluate its feasibility to monitor the clinical situation of patients with advanced illnesses. Methods This study used a mixed methods design using qualitative methods to inform app development and design and quantitative methods for data collection and analysis of patient evaluations. Palliative care units in 2 Spanish university hospitals (Nuestra Señora de la Candelaria in Santa Cruz de Tenerife and University Hospital Complex of Ferrol in A Coruña) carried out a literature review, designed the study protocol, and obtained approval from the Ethics Committee from June to December 2020. In addition, focus group meetings were held, and the design and technical development of the app were elaborated on and subsequently presented in the participating palliative care units. From January to March 2021, the app was made public on the App Store and Play Store, and a pilot study with patients was carried out in April to September 2021. Results Six focus group meetings were held that included doctors, nurses, app developers, technology consultants, and sponsors. In addition, the technology consultants presented their results 3 times in the participating palliative care units to obtain feedback. After the app’s final design, it was possible to publish it on the usual servers and begin its evaluation in patients (n=60, median age 72 years). Sixty percent (n=36) of the participants were women and 40% (n=24) were men. The most prevalent advanced pathology was cancer (n=46, 76%), followed by other diseases (n=7, 12%) and amyotrophic lateral sclerosis (n=5, 8%). Seventy percent (n=42) of the patients were already in follow-up prior to the start of the study, while 30% (n=18) were included at the start of their follow-up. The information in the app was collected and entered by relatives or caregivers in 60% (n=36) of the cases. The median follow-up was 52 (IQR 14-104) days. In all, 69% (n=41) had a follow-up >30 days (10 were deceased and 9 were missing data). The use of the different sections of the app ranged from 37% (n=22) for the glycemic record to 90% (n=54) for the constipation scale). Patients and caregivers were delighted with its ease of use and usefulness. Conclusions Incorporating an intelligent remote patient monitoring system in clinical practice for patients in palliative care can improve access to health services and provide more information to professionals.

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Section: Questionnairesmentioning

confidence: 99%