Cancer Patients' Informational Needs: Qualitative Content Analysis.

J Cancer Educ

Department of Nursing, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Zafar Str, Vanak Sq, PO Box 1419733171, Tehran, Iran.

Published: December 2016

Understanding the informational needs of cancer patients is a requirement to plan any educative care program for them. The aim of this study was to identify Iranian cancer patients' perceptions of informational needs. The study took a qualitative approach. Semi-structured interviews were held with 25 cancer patients in two teaching hospitals in Iran. Transcripts of the interviews underwent conventional content analysis, and categories were extracted. The results came under two main categories: disease-related informational needs and information needs related to daily life. Disease-related informational needs had two subcategories: obtaining information about the nature of disease and obtaining information about disease prognosis. Information needs related to daily life also had two subcategories: obtaining information about healthy lifestyle and obtaining information about regular activities of daily life. The findings provide deep understanding of cancer patients' informational needs in Iran.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s13187-015-0887-zDOI Listing

Publication Analysis

Top Keywords

cancer patients'
12
daily life
12
patients' informational
8
content analysis
8
cancer patients
8
disease-related informational
8
subcategories obtaining
8
informational
6
cancer
5
informational qualitative
4

Similar Publications

Role of P2X7 receptor in the progression and clinicopathological characteristics of gastric cancer.

Sci Rep

December 2024

Department of Gastroenterology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang city, Jiangxi province, China.

P2X7 receptor (P2X7R) plays a role in regulating tumor progression, but it is unclear whether P2X7R affects the pathological characteristics of patients with gastric cancer and the activity of gastric cancer cells. Therefore, this study preliminarily investigated the relationship between P2X7R and clinicopathological features of patients with gastric cancer, and further explored the effect of P2X7R on the proliferation, migration and invasion of gastric cancer cells through functional experiments. The results showed that P2X7R was highly expressed in gastric cancer tissues and gastric cancer cells.

View Article and Find Full Text PDF

Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC.

View Article and Find Full Text PDF

Using Fourier Transform Infrared spectroscopy (FTIR), it is possible to show chemical composition of materials and / or profile chemical changes occurring in tissues, cells, and body fluids during onset and progression of diseases. For diagnostic application, the use of blood would be the most appropriate in biospectroscopy studies since, (i) it is easily accessible and, (ii) enables frequent analyses of biochemical changes occurring in pathological states. At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR.

View Article and Find Full Text PDF

Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for classifying oral lesions, focusing on accuracy, interpretability, and reducing dataset bias.

View Article and Find Full Text PDF

Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival.

Sci Rep

December 2024

School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya, 47500, Selangor Darul Ehsan, Malaysia.

Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence.

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!