The Development of a Technology-Based Hierarchy to Assess Chronic Low Back Pain and Pain-Related Anxiety From a Fear-Avoidance Model

Springer, Kristen S.; George, Steven Z.

doi:10.1016/j.jpain.2016.04.004

Cited by 7 publications

(6 citation statements)

References 13 publications

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“…The meta-analysis did not aim at incorporating all measures which claim to reflect the construct FOP or any part of its facets, as a joint interpretation of such results would have been complicated, but focused on established measures which were identified by considering reviews, meta-analyses and relevant textbooks (Antony & Stein, 2009; Asmundson, Norton, & Norton, 1999; George, 2006; Keefe, Rumble, Scipio, Giordano, & Perri, 2004; Lundberg et al, 2011; McCracken et al, 1996; Turk & Wilson, 2010; Zale et al, 2013). More recently published measures (George, Valencia, Zeppieri, & Robinson, 2009; Jensen, Ward, Thorn, Ehde, & Day, 2017; Monticone, Vernon, Brunati, Rocca, & Ferrante, 2015; Neblett, Mayer, Hartzell, Williams, & Gatchel, 2016; Springer, George, & Robinson, 2016) were not considered because they are not yet established and have rarely been applied.…”

Section: Methodsmentioning

confidence: 99%

Fear of pain and pain intensity: Meta-analysis and systematic review.

Markfelder

Pauli

2020

Psychological Bulletin

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The fear avoidance model (FAM) represents a cognitive–behavioral explanatory approach for pain chronification. The core assumption is that fear of pain (FOP) following an acute pain experience facilitates the development of pain chronification, disability, and receding functionality. Thus, the model predicts a positive association between FOP and pain intensity in pain patients, which was frequently investigated; however, results were inconsistent. To highlight inconsistencies, we performed integrative statistical analysis aimed at evaluating the strength of the cross-sectional relation between FOP and pain intensity in clinical research and reviewing its moderation through demographic, pain-specific and psychosocial characteristics. To this end, we searched the databases PsycINFO, PubMed, and Web of Science and included 253 independent effect size estimates (N = 42 463). The overall mean effect size was computed based on a random-effects model. By utilizing the artifact distribution method, we supplemented it with an analysis correcting for artifacts. The magnitude of the positive association equated to the threshold between a small to medium effect size, which was expected as the FAM predicts an indirect relation only. The association turned out to be stable across different FOP measures, but was significantly moderated by age, pain localization, first-time pain episode, pain onset, treatment status, and anxiety sensitivity. A potentially necessary differentiation of patient subgroups and suggestions for an adjusted methodological approach of future research are discussed.

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Section: Methodsmentioning

confidence: 99%

Fear of pain and pain intensity: Meta-analysis and systematic review.

Markfelder

Pauli

2020

Psychological Bulletin

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“…Holding heavy objects The exercises mentioned previously were reported by Springer et al (16) and Moraes et al (17) .…”

Section: -Life Style Changementioning

confidence: 88%

Effect of Cognitive Behavioural Therapy in Treatment of Chronic Non-Specific Low Back Pain

Elabd¹,

Youssef²,

Mohamed³

et al. 2021

The Egyptian Journal of Hospital Medicine

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Background: Low-back pain is a major health and economical problem that affects populations around the world. Chronic low-back pain, in particular, is a major cause of medical expenses, work absenteeism, and disability. Objective: To explore the effect of adding cognitive-behavioral therapy to physical therapy interventions in patients with chronic non-specific back pain. Patients and methods: 20 male and female patients between 25 and 40 years old diagnosed as chronic non-specific back pain with central sensitization and fear avoidance behaviors symptoms participated in this study. Patients were randomly assigned into two groups. The first group was treated by cognitive behavioral therapy (graded exposure and graded activity) in addition to physiotherapy the second group was treated by physical therapy interventions which was given only 3 times/week for 4 consecutive weeks. Results: Descriptive statistics was used to identify each variable's mean and standard deviation. A paired t-test was used to compare characteristics of patients between both groups. Pre-treatment results showed no significant difference in both measured variables of Oswestry, and pain in both groups (P > 0.05). On the other hand, post-treatment results showed a significant decrease in the Oswestry, and pain only in group A (the study group). Conclusion:Adding graded exposure and graded activity as an operant cognitive behavioural therapy approach to physical therapy program is more beneficial than physical therapy program alone. More data and follow up needed for this study.

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“…On the other hand, studies have shown that the provision of computer applications and games [49] and the use of virtual reality [49,50] can reduce fear and anxiety in various areas such as medical processes, ying, and accidents. In particular, a study [24] showed that the use of a virtual computer-based system reduces technophobia in patients. Therefore, to deal with the technophobia of nursing students and prevent their mistakes while caring for the patient, it is suggested that appropriate educational interventions such as computer software and virtual reality-based applications be provided for these students.…”

Section: Implications Of the Studymentioning

confidence: 99%

“…Therefore, evaluating the level of technophobia among nursing students can help to determine educational strategies to prevent it and improve healthcare performance in the future. Several studies have examined technophobia in the general public [21][22][23], patients [24], teachers [25], health professionals [26], and nurses as well as nursing students [18,27,28]. However, the focus of these studies has been on determining the level of computer phobia.…”

Section: Introductionmentioning

confidence: 99%

Investigation of technophobia level and its related factors among nursing students

Toni

Dehghan

Bagheri

et al. 2023

Preprint

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Background Various technologies aid nurses in patient care. However, nurses are often anxious to use these technologies. Despite the adverse effects of nurses' technophobia on patient care, no study has evaluated technophobia in nursing students. This study aimed to investigate the level of technophobia and its causative factors in nursing students. Methods This study was performed on nursing students at Kerman University of Medical Sciences (KUMS), Kerman, Iran, using four valid and reliable questionnaires developed based on the existing literature. Independent t-test, analysis of variance, Kruskal-Wallis, and Dunnett T3 post hoc test were used to study technophobia based on background characteristics. The Spearman correlation coefficient was also used to examine the relationship between technological skills and technophobia. Results The technophobia rate of nursing students was 33.18 ± 6.95. The level of technophobia was high in the females and students that had lower education (p < 0.05). Nursing students' skills in using information systems and medical equipment were less than their computer skills. Students with low computer skills had a high level of technophobia (p < 0.05). Nurses' technophobia often occurs due to insufficient knowledge, poor experience and skills, and lack of a mentor when using technologies. Conclusions The level of technophobia was moderate among nursing students. Their skills to use medical information systems and equipment are less than their computer skills. Low computer skills and poor ability to use medical equipment and information systems increase technophobia. The results suggest improving the computer and technological skills of nursing students especially females from the beginning of their study.

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The Development of a Technology-Based Hierarchy to Assess Chronic Low Back Pain and Pain-Related Anxiety From a Fear-Avoidance Model

Cited by 7 publications

References 13 publications

Fear of pain and pain intensity: Meta-analysis and systematic review.

Fear of pain and pain intensity: Meta-analysis and systematic review.

Effect of Cognitive Behavioural Therapy in Treatment of Chronic Non-Specific Low Back Pain

Investigation of technophobia level and its related factors among nursing students

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