AI Article Synopsis

  • The study aimed to identify how managers and nurses determine the necessary nursing staff for home care services, focusing on factors like patient eligibility and care time.
  • Data was gathered through semi-structured interviews and analyzed using content analysis, leading to three key categories: patient eligibility, care time, and professional competency.
  • A model for calculating needed nursing personnel was proposed to improve decision-making efficiency, considering workload, staff proportions, daily shifts, and safety indices for staff absences.

Article Abstract

Home care brings up issues related to the number of daily hours and days of nursing service from users of these services. This study was carried out in order to identify the criteria adopted by managers and nurses for calculating the nursing staff needed in home care services. Data were collected through semi-structured interviews and analyzed according to the method of content analysis. Three categories were identified: patient's eligibility, time spent in care, and professional competency profile. The steps considered were: identification of daily average work load, choice of the proportion of professional categories, nursing workers' daily journey, and identification of the technical safety index for covering planned and unplanned absences. From these variables a model for calculating nursing personnel needed in home care is proposed in order to speed up the decision making process.

Download full-text PDF

Source
http://dx.doi.org/10.1590/s0080-62342007000100013DOI Listing

Publication Analysis

Top Keywords

model calculating
8
nursing staff
8
calculating nursing
8
needed care
8
nursing
5
[proposal model
4
calculating size
4
size nursing
4
staff care]
4
care
4

Similar Publications

Objective And Significance: Transforming growth factor-beta (TGF-β) plays a pivotal role in breast development by modulating tissue composition during the developmental phase. The TGFβ type II receptor (TGFβ RII) is implicated in breast cancer and represents a valuable therapeutic target. Due to the off-target side effects of many existing TGFβI/TGFβ RII inhibitors, a more targeted approach to drug discovery is necessary.

View Article and Find Full Text PDF

Background: Billions of dollars have been spent implementing regulations to reduce traffic-related air pollution (TRAP) from exhaust pipe emissions. However, few health studies have evaluated the change in TRAP emissions and associations with infant health outcomes. We hypothesize that the magnitude of association between vehicle exposure measures and adverse birth outcomes has decreased over time, parallelling regulatory improvements in exhaust pipe emissions.

View Article and Find Full Text PDF

Objective: Evaluate the accuracy and reliability of various generative artificial intelligence (AI) models (ChatGPT-3.5, ChatGPT-4.0, T5, Llama-2, Mistral-Large, and Claude-3 Opus) in predicting Emergency Severity Index (ESI) levels for pediatric emergency department patients and assess the impact of medically oriented fine-tuning.

View Article and Find Full Text PDF

Objectives: The aims of the study are to predict lung function impairment in patients with connective tissue disease (CTD)-associated interstitial lung disease (ILD) through computed tomography (CT) quantitative analysis parameters based on CT deep learning model and density threshold method and to assess the severity of the disease in patients with CTD-ILD.

Methods: We retrospectively collected chest high-resolution CT images and pulmonary function test results from 105 patients with CTD-ILD between January 2021 and December 2023 (patients staged according to the gender-age-physiology [GAP] system), including 46 males and 59 females, with a median age of 64 years. Additionally, we selected 80 healthy controls (HCs) with matched sex and age, who showed no abnormalities in their chest high-resolution CT.

View Article and Find Full Text PDF

Objective: The aim of the study is to assess the diagnostic accuracy of 4-dimensional computed tomography (4D-CT) scans for patients with primary hyperparathyroidism (pHPT) after negative or inconclusive Technetium-99m sestamibi single-photon emission computed tomography scan.

Methods: A literature search of several databases was conducted from inception to August 2023. Eligible studies reported adult patients (>18 years old) who underwent 4D-CT after negative or inconclusive sestamibi results.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!