Behavioural evaluation in patients affected by chronic pain: a preliminary study

Monina, Erica; Falzetti, Gabriele; Firetto, V.; Mariani, Laura; Caputi, Claudio A.

doi:10.1007/s10194-006-0324-0

Cited by 7 publications

(6 citation statements)

References 28 publications

(26 reference statements)

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“…therapy: participants were evaluated while doing some type of therapy (eg, leg curls, music, behavioral therapy) [ 30 - 35 , 44 , 46 , 49 , 52 , 58 , 93 , 104 ].…”

Section: Resultsmentioning

confidence: 99%

Understanding Monitoring Technologies for Adults With Pain: Systematic Literature Review

Rodríguez¹,

Herskovic²,

Gerea³

et al. 2017

J Med Internet Res

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BackgroundMonitoring of patients may decrease treatment costs and improve quality of care. Pain is the most common health problem that people seek help for in hospitals. Therefore, monitoring patients with pain may have significant impact in improving treatment. Several studies have studied factors affecting pain; however, no previous study has reviewed the contextual information that a monitoring system may capture to characterize a patient’s situation.ObjectiveThe objective of this study was to conduct a systematic review to (1) determine what types of technologies have been used to monitor adults with pain, and (2) construct a model of the context information that may be used to implement apps and devices aimed at monitoring adults with pain.MethodsA literature search (2005-2015) was conducted in electronic databases pertaining to medical and computer science literature (PubMed, Science Direct, ACM Digital Library, and IEEE Xplore) using a defined search string. Article selection was done through a process of removing duplicates, analyzing title and abstract, and then reviewing the full text of the article.ResultsIn the final analysis, 87 articles were included and 53 of them (61%) used technologies to collect contextual information. A total of 49 types of context information were found and a five-dimension (activity, identity, wellness, environment, physiological) model of context information to monitor adults with pain was proposed, expanding on a previous model. Most technological interfaces for pain monitoring were wearable, possibly because they can be used in more realistic contexts. Few studies focused on older adults, creating a relevant avenue of research on how to create devices for users that may have impaired cognitive skills or low digital literacy.ConclusionsThe design of monitoring devices and interfaces for adults with pain must deal with the challenge of selecting relevant contextual information to understand the user’s situation, and not overburdening or inconveniencing users with information requests. A model of contextual information may be used by researchers to choose possible contextual information that may be monitored during studies on adults with pain.

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“…therapy: participants were evaluated while doing some type of therapy (eg, leg curls, music, behavioral therapy) [ 30 - 35 , 44 , 46 , 49 , 52 , 58 , 93 , 104 ].…”

Section: Resultsmentioning

confidence: 99%

Understanding Monitoring Technologies for Adults With Pain: Systematic Literature Review

Rodríguez¹,

Herskovic²,

Gerea³

et al. 2017

J Med Internet Res

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“…Finally, most of the data regarding pain in patients with dementia come from research using self-reporting of pain. Since the concordance between self-report and observation of pain has been demonstrated to be either low or moderate (Koho et al, 2001;Monina et al, 2006), it may be that the observation techniques used in this study cannot tap into the subjective experience of pain revealed by self-report.…”

Section: Prevalence Of Painmentioning

confidence: 91%

The utility of PAINAD in assessing pain in a UK population with severe dementia

Jordan

Hughes

Pakresi

et al. 2011

Int. J. Geriat. Psychiatry

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“…Pain has been defined as “an unpleasant sensory and emotional experience associated with actual or potential tissue damage or described in terms of such damage” [5]. This definition indicates that the perception of pain is a result of a complex interaction of physical, physiological, behavioural, and sociocultural factors [6, 7] and may be derived from the cognitive-emotional factors which influence the pain experience [6]. An individual's experience of pain may be outwardly expressed by demonstration of certain aberrant behaviours, with visible or audible responses indicative of discomfort or suffering such as grimacing and sighing [8, 9].…”

Section: Introductionmentioning

confidence: 99%

Pain Behaviour Scale (PaBS): An Exploratory Study of Reliability and Construct Validity in a Chronic Low Back Pain Population

Alamam

Leaver

Moloney

et al. 2019

Pain Research and Management

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Objectives. To examine the interrater and intrarater reliability and construct validity of the Pain Behaviour Scale during standard physical performance tests in people with chronic low back pain and to confirm the test-retest reliability of the physical performance tests in this population. The Pain Behaviour Scale (PaBS) is an observational scale that was recently designed to uniquely measure both the presence and severity of observed pain behaviours. Methods. Twenty-two participants with chronic low back pain were observed during performance of five physical performance tests by two raters. Pain behaviours were assessed using the Pain Behaviour Scale. The Visual Analogue Scale and Modified Oswestry Disability Index were used to measure pain and disability, respectively. Descriptive statistics were used to report demographic features of participants. Reliability was analyzed using ICCs. Rater agreement was analyzed using the weighted Cohen’s kappa. Correlations between PaBS, self-reported measures, and physical performance tests were calculated using Pearson’s product-moment correlations. Results. The PaBS demonstrated excellent interrater (ICC2,1 = 1.0, 95% CI: 0.9 to 1.0) and intrarater (ICC3,1 = 0.9, 95% CI: 0.8 to 1.0) reliability. Component physical performance tests (i.e., time and distance) demonstrated good test-retest (0.6–1.0) reliability. Perfect agreement in the reporting of pain behaviours was found (95–100%). Correlations between pain behaviour severity and pain intensity (r = 0.6) and disability (r = 0.6) were moderate. Moderate correlations were found between pain behaviours and physical performance tests in sit to stand (r = 0.5), trunk flexion (r = 0.4), timed up and go (r = 0.4), and 50-foot walk (r = 0.4). Conclusion. The Pain Behaviour Scale is a valid and reliable tool for measuring the presence and severity of pain behaviour, and the physical performance tests are reliable tests.

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Behavioural evaluation in patients affected by chronic pain: a preliminary study

Cited by 7 publications

References 28 publications

Understanding Monitoring Technologies for Adults With Pain: Systematic Literature Review

Understanding Monitoring Technologies for Adults With Pain: Systematic Literature Review

The utility of PAINAD in assessing pain in a UK population with severe dementia

Pain Behaviour Scale (PaBS): An Exploratory Study of Reliability and Construct Validity in a Chronic Low Back Pain Population

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