painPREDICT: first interim data from the development of a new patient-reported pain questionnaire to predict treatment response using sensory symptom profiles

Tölle, Thomas R.; Baron, Ralf; Bock, E; Junor, Rod; Barbosa, Carla Dias; Marshall, Scott; Arnould, B; Freynhagen, Rainer

doi:10.1080/03007995.2018.1562687

Cited by 21 publications

(10 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This questionnaire needs to be further tested, in particular, in cancer patients. Results from the first interim data evidentiated three different characteristic sensory symptom profiles in patients with NP: “irritable nociceptors”, “deafferentation pain”, and “pain attacks with nociceptive component” [49].…”

Section: Cancer Pain Mechanisms and Pathophysiologymentioning

confidence: 99%

Cancer Pain Assessment and Classification

Caraceni

Shkodra

2019

Cancers

165

130

View full text Add to dashboard Cite

More than half of patients affected by cancer experience pain of moderate-to-severe intensity, often in multiple sites, and of different etiologies and underlying mechanisms. The heterogeneity of pain mechanisms is expressed with the fluctuating nature of cancer pain intensity and clinical characteristics. Traditional ways of classifying pain in the cancer population include distinguishing pain etiology, clinical characteristics related to pain and the patient, pathophysiology, and the use of already validated classification systems. Concepts like breakthrough, nociceptive, neuropathic, and mixed pain are very important in the assessment of pain in this population of patients. When dealing with patients affected by cancer pain it is also very important to be familiar to the characteristics of specific pain syndromes that are usually encountered. In this article we review methods presently applied for classifying cancer pain highlighting the importance of an accurate clinical evaluation in providing adequate analgesia to patients.

show abstract

Section: Cancer Pain Mechanisms and Pathophysiologymentioning

confidence: 99%

Cancer Pain Assessment and Classification

Caraceni

Shkodra

2019

Cancers

165

130

View full text Add to dashboard Cite

show abstract

“…A PC or cellphone is used to access material in the mathematical physics e-module. This research data comes from quantitative data obtained through questionnaires (West, 2015;Rintakorpi & Reunamo, 2017;Tölle et al, 2019). The questionnaire used in this study was a student perception questionnaire with 15 statements.…”

Section: Methodsmentioning

confidence: 99%

Mathematical physics e-module: A study of students' perception based on gender

Astalini¹,

Kurniawan²,

Kurniawan³

et al. 2021

Momentum: Physics Education Journal

View full text Add to dashboard Cite

Student’s perception is the student's assessment of something or information. The objective of this study was to discover how students' general perceptions and gender differences in electronic modules of mathematical physics. The research type is survey-based research with quantitative approach. The research population consists of physics education students from Universitas Jambi with the sample of 80 students from class A and class B. The data analysis techniques used in the study are descriptive statistics analysis and inferential data analysis using t-tests. The results showed that, overall, students have a positive perception with a Sig. (2-tailed) value of 0.011 < 0.005, which means that there is a significant difference in students’ perception. The perception of class A students with gender differences has a Sig. (2-tailed) value of 0.003, while the grade B students have a Sig. (2 tailed) values of 0.020 and 0.013. This means that class A and classs B students have a discernible difference of perception. Student’s perception may be used as a determining factor in the choice of learning materials. This research can be used as a guideline for the development of student perception assessment in the electronic module of Mathematical Physics in the future. The update of this study aims to compare students' perceptions of the overall online module of mathematics and gender differences.

show abstract

“…The instruments used in this study were student attitude questionnaires, student learning motivation questionnaires and science process skills' observation sheets. Questionnaires were used to obtain research quantitative data Rintakorpi & Reunamo, 2017;Tölle et al, 2019;West, 2015). The questionnaire used in this study is a student attitude questionnaire with 10 statements and a student learning motivation questionnaire with 25 statements.…”

Section: Data Collectionmentioning

confidence: 99%

A study of junior high school students’ attitudes and learning motivation on science process

Asrial

Maison

Perdana

2022

CJES

View full text Add to dashboard Cite

This study aims to determine the effect of students’ attitudes and motivation on science process skills. The type of research used is quantitative research with a research sample of 153 junior high school students. Sampling was selected using the purposive sampling technique with the criteria that junior high school students should have followed the science learning process and have attended science practicum in the school laboratory. The research instruments used were questionnaires and observation sheets with descriptive statistical data analysis techniques and inferential statistics. The results showed that students’ attitudes and learning motivation had an effect on science process skills as indicated by the correlation value between variables of 0.504 and the data significance value was smaller than 0.05, namely 0.000, so that the regression equation model could be obtained, namely Y = 2.612 + 0.492X1 + 644X2. This research was conducted to complement previous research. The novelty of this research is to see the effect of students’ attitudes and learning motivation on science process skills in science learning. Keywords: Attitudes; Learning Motivation; Science Process Skills

show abstract

painPREDICT: first interim data from the development of a new patient-reported pain questionnaire to predict treatment response using sensory symptom profiles

Cited by 21 publications

References 23 publications

Cancer Pain Assessment and Classification

Cancer Pain Assessment and Classification

Mathematical physics e-module: A study of students' perception based on gender

A study of junior high school students’ attitudes and learning motivation on science process

Contact Info

Product

Resources

About