Background: Pediatric patients experience significant symptoms during cancer treatment. Symptom management is frequently inadequate. We studied perceptions of pediatric oncology care providers regarding early integration of palliative care (PC) for pediatric patients to identify barriers and facilitators that might assist in understanding how care could be improved.

Procedures: Pediatric oncology providers were recruited to participate in four focus groups. A proposal for early integration of a pediatric palliative care team (PPCT) was presented and followed by a facilitated discussion. Data were analytically categorized into themes by three independent coders using constant comparative analysis and crystallization techniques. A consensus approach was used to identify final themes.

Results: Barriers to the proposed care model of early integration of a PPCT included provider role, conflicting philosophy, patient readiness, and emotional influence and were more prevalent in the physician participants compared to nurse practitioner, nursing, and social work participants. Facilitators included patient eligibility, improved patient care, education, and evidence-based medicine. Though all participants were invested in providing optimal patient care, physician participants believed the current standard of care model is meeting the needs of patients and family, while the nurse practitioner, nursing, and social work participants working on the same healthcare team believed the proposed care model would improve the overall care of children diagnosed with cancer.

Conclusions: Differing perceptions among healthcare providers regarding the care of children with cancer suggest that team functioning could be improved. Avenues for pilot testing early integration of PC could provide useful information for a next study.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966071PMC
http://dx.doi.org/10.1002/pbc.24673DOI Listing

Publication Analysis

Top Keywords

early integration
20
pediatric oncology
12
care
12
palliative care
12
care model
12
barriers facilitators
8
integration pediatric
8
pediatric palliative
8
pediatric patients
8
proposed care
8

Similar Publications

Early cancer detection substantially improves the rate of patient survival; however, conventional screening methods are directed at single anatomical sites and focus primarily on a limited number of cancers, such as gastric, colorectal, lung, breast, and cervical cancer. Additionally, several cancers are inadequately screened, hindering early detection of 45.5% cases.

View Article and Find Full Text PDF

Cowden Syndrome and Oral Lesions: A Case Report Using MLPA.

Am J Case Rep

January 2025

Research Institute of Dentistry, Department of Integral Dental Clinics, University Center of Health Sciences, Universidad de Guadalajara, Guadalajara, Mexico.

BACKGROUND Cowden syndrome is a genetic disorder that predisposes individuals to cancer and is characterized by hamartomas derived from 3 germ layers. Although the clinical signs can be pathognomonic, diagnosis is often aided by biopsies, histopathological examination of oral and cutaneous lesions, and genetic studies, including multiple ligation-dependent probe amplification (MLPA). CASE REPORT We report a case of a 35-year-old woman who manifested with multiple lesions in the buccal mucosa, dorsum of the tongue, and gums, along with papillomatous papules on her facial skin and the dorsal surfaces of her hands.

View Article and Find Full Text PDF

Background: Mental health disorders are one of the leading causes of illness globally. The importance of psychosocial skills acquired in early childhood, such as executive functions, inhibitory control, emotional regulation, and social problem-solving, in preventing mental disorders has been reported. Furthermore, mental health care delivery is evolving, and mobile technology is becoming the medium for assessment and intervention.

View Article and Find Full Text PDF

A PDMS/chitosan/MPMs composite film based on multi-field coupling enhancement for African swine fever virus P72 protein detection.

Mikrochim Acta

January 2025

Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Integrated Circuits, Taiyuan University of Technology, Taiyuan, 030024, China.

African swine fever (ASF) is an acute hemorrhagic disease in pigs caused by the African swine fever virus (ASFV), which has a high mortality rate and brought great damage to global pig farming industry. At present, there is no effective treatment or vaccine to combat ASFV infection, so early detection of ASFV has become particularly important. Therefore, the PDMS/chitosan/MPMs composite film was proposed to detect ASFV P72.

View Article and Find Full Text PDF
Article Synopsis
  • Deep learning methods show strong potential for predicting lung cancer risk from CT scans, but there's a need for more comprehensive comparisons and validations of these models in real-world settings.
  • The study reviews 21 state-of-the-art deep learning models, analyzing their performance using CT scans from a subset of the National Lung Screening Trial, with a focus on malignant versus benign classification.
  • Results reveal that 3D deep learning models generally outperformed 2D models, with the best 3D model achieving an AUROC of 0.86 compared to 0.79 for the best 2D model, emphasizing the need to choose appropriate pretrained datasets and model types for effective lung cancer risk prediction.
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!