Pain in the Elderly: Validity of Facial Expression Components of Observational Measures

Factors influencing nurses' pain assessment and management of road traffic casualties: a qualitative study at a military hospital in Ghana

BACKGROUND

Evidence shows that patients who visit the surgical and trauma emergency units may be discharged with untreated or increased pain levels. This study explored nurses' pain assessment and management approaches at a trauma-surgical emergency unit in Ghana.

METHODS

Seventeen nurses who work in the trauma department participated in this qualitative exploratory descriptive study. In-depth individual interviews were conducted, and the thematic analysis was utilized to identify emerging themes and subthemes.

RESULTS

Three main themes were identified: patient pain indicators, pain management, and institutional factors influencing pain management. The study revealed that nurses rely on verbal expressions, non-verbal cues, physiological changes, and the severity of pain communicated. The findings highlighted staff shortage, inadequate resources, and lack of standardized guidelines as factors affecting pain and management.

CONCLUSIONS

Although the study offers critical new perspectives on nurses' experiences regarding pain related issues at the trauma-surgical emergency units, its small sample size limited its generalizability.

Pain assessment tools in adults with communication disorders: systematic review and meta-analysis

BACKGROUND

Verbal communication is the "gold standard" for assessing pain. Consequently, individuals with communication disorders are particularly vulnerable to incomplete pain management. This review aims at identifying the current pain assessment instruments for adult patients with communication disorders.

METHODS

A systematic review with meta-analysis was conducted on PubMed, PEDRO, EBSCOhost, VHL and Cochrane databases from 2011 to 2023 using MeSH terms "pain assessment, "nonverbal communication" and "communication disorders" in conjunction with additional inclusion criteria: studies limited to humans, interventions involving adult patients, and empirical investigations.

RESULTS

Fifty articles were included in the review. Seven studies report sufficient data to perform the meta-analysis. Observational scales are the most common instruments to evaluate pain in individuals with communication disorders followed by physiological measures and facial recognition systems. While most pain assessments rely on observational scales, current evidence does not strongly endorse one scale over others for clinical practice. However, specific observational scales appear to be particularly suitable for identifying pain during certain potentially painful procedures, such as suctioning and mobilization, in these populations. Additionally, specific observational scales appear to be well-suited for certain conditions, such as mechanically ventilated patients.

CONCLUSIONS

While observational scales dominate pain assessment, no universal tool exists for adults with communication disorders. Specific scales exhibit promise for distinct populations, yet the diverse landscape of tools hampers a one-size-fits-all solution. Crucially, further high-quality research, offering quantitative data like reliability findings, is needed to identify optimal tools for various contexts. Clinicians should be informed to select tools judiciously, recognizing the nuanced appropriateness of each in diverse clinical situations.

TRIAL REGISTRATION

This systematic review is registered in PROSPERO (International prospective register of systematic reviews) with the ID: CRD42022323655 .

A Nationwide Study of Emergency Nurses' Triage Decisions for Potential Acute Coronary Syndrome

INTRODUCTION

This study aimed to identify the symptoms used to assess angina, determine how emergency nurses make triage decisions for potential acute coronary syndrome, and determine emergency nurses' initial actions.

METHODS

This was a cross-sectional, survey-based design. Emergency nurses were recruited through a posting on the Emergency Nurses Association website and through postcards. Measures included demographic data, assessment of angina, and the Nurses' Cardiac Triage Instrument. Data were analyzed using descriptive statistics and ordinal logistic regression.

RESULTS

A total of 414 registered nurses with a mean age of 41.7 (SD = 12.0) years participated. They were predominantly female (80.7%), had a baccalaureate degree (60.1%), and worked as a registered nurse for a median 10.0 years. Common terms used to assess angina were chest pain (79.5%), chest pressure (77.3%), chest tightness (72.9%), and chest discomfort (72.5%). The severity of chest pressure (median 5.0, interquartile range 1.0) and nature of chest pain (median 5.0, interquartile range 1.0) had the highest overall median scores to support initial cardiac triage decisions. Associated symptoms of diaphoresis, fatigue, and shortness of breath along with health history contributed to decision making.

DISCUSSION

Emergency nurses primarily used chest symptoms and health history when deciding to evaluate for acute coronary syndrome in the emergency department. Associated symptoms of diaphoresis, fatigue, and shortness of breath, along with health history, also contributed to decision making. Initial registered nurse actions were to obtain an electrocardiogram, prepare the patient for the cardiac catheterization laboratory, and notify the emergency physician of the patient's admission.

Gestalt clinical severity score (GCSS) as a predictor of patient severity of illness or injury

OBJECTIVE

To determine if clinical judgement is accurate to predict the severity of injury or illness, and can be used at patient arrival when other formal scoring systems are not yet available.

DESIGN

A multicenter pilot study using a prospective observational convenience sample of patients arriving by EMS to the emergency department (ED) or Trauma Center.

SETTING

Two urban, Level 1 trauma centers at academic tertiary care hospitals.

PATIENTS

Medical and trauma patients age 18 and older transported by EMS (N = 216). Exclusion criteria (prior to arrival): intubation, assisted ventilation (BVM or NPPV), CPR in progress, prisoners, or previously present motor or speech deficits.

MEASUREMENTS

Completion of a novel 15-point scale of Verbal, Motor, and Facial Expression within 1-2 min of arrival by a clinician outside of the treatment team. Primary endpoint was the immediate disposition from the ED or Trauma Center: Home, Brief Observation (<24 h), Admission to Floor, ICU (OR and IR as surrogates since these patients ultimately go to the ICU), or Morgue.

RESULTS

Univariate analysis revealed a strong, positive monotonic correlation between GCSS and disposition (Rho = 0.693, p < .0001). Multivariable logistic regression revealed the "best" model included GCSS and age (group 18-44 years old versus all the other age groups) (p < .0001). There was a 156% increase in the odds of being discharged home (versus being admitted) for a one-unit increase in GCSS (OR = 2.56, 95% CI 1.94, 3.37).

CONCLUSIONS

Physicians can make accurate predictions of severity of injury and illness using a gestalt method and the scoring system we have developed as patient disposition correlates well with GCSS score. GCSS is most accurate with the 18-44 age group.

Assessment of postoperative pain in children with computer assisted facial expression analysis

PURPOSE

The present study was conducted to evaluate the use of computer-aided facial expression analysis to assess postoperative pain in children.

DESIGN AND METHODS

This was a methodological observational study. The study population consisted of patients in the age group of 7-18 years who underwent surgery in the pediatric surgery clinic of a university hospital. The study sample consisted of 83 children who agreed to participate and met the sample selection criteria. Data were collected by the researcher using the Wong Baker Faces pain rating scale and Visual Analog Scale. Data were collected from the child, mother, nurse, and one external observer. Facial action units associated with pain were used for machine estimation. OpenFace was used to analyze the child's facial action units and Python was used for machine learning algorithms. The intraclass correlation coefficient was used for statistical analysis of the data.

RESULTS

The pain score predicted by the machine and the pain score assessments of the child, mother, nurse, and observer were compared. The pain assessment closest to the self-reported pain score by the child was in the order of machine prediction, mother, and nurse.

CONCLUSIONS

The machine learning method used in pain assessment in children performed well in estimating pain severity.It can code facial expressions of children's pain and reliably measure pain-related facial action units from video recordings.

APPLICATION TO PRACTICE

The machine learning method for facial expression analysis assessed in this study can potentially be used as a scalable, standard, and valid pain assessment method for nurses in clinical practice.

Faces of Pain in Dementia: Learnings From a Real-World Study Using a Technology-Enabled Pain Assessment Tool

Pain is common in people living with dementia (PLWD), including those with limited verbal skills. Facial expressions are key behavioral indicators of the pain experience in this group. However, there is a lack of real-world studies to report the prevalence and associations of pain-relevant facial micro-expressions in PLWD. In this observational retrospective study, pain-related facial features were studied in a sample of 3,144 PLWD [mean age 83.3 years (SD = 9.0); 59.0% female] using the Face domain of PainChek®, a point-of-care medical device application. Pain assessments were completed by 389 users from two national dementia-specific care programs and 34 Australian aged care homes. Our analysis focused on the frequency, distribution, and associations of facial action units [AU(s)] with respect to various pain intensity groups. A total of 22,194 pain assessments were completed. Of the AUs present, AU7 (eyelid tightening) was the most frequent facial expression (48.6%) detected, followed by AU43 (closing eyes; 42.9%) and AU6 (cheek raising; 42.1%) during severe pain. AU20 (horizontal mouth stretch) was the most predictive facial action of higher pain scores. Eye-related AUs (AU6, AU7, AU43) and brow-related AUs (AU4) were more common than mouth-related AUs (e.g., AU20, AU25) during higher pain intensities. No significant effect was found for age or gender. These findings offer further understanding of facial expressions during clinical pain in PLWD and confirm the usefulness of artificial intelligence (AI)-enabled real-time analysis of the face as part of the assessment of pain in aged care clinical practice.

[Challenges in pain assessment and management among individuals with intellectual and developmental disabilities : German version]

INTRODUCTION

Intellectual and developmental disabilities (IDD) include conditions associated with physical, learning, language, behavioural, and/or intellectual impairment. Pain is a common and debilitating secondary condition compromising functional abilities and quality of life.

OBJECTIVES

This article addresses scientific and clinical challenges in pain assessment and management in individuals with severe IDD.

METHODS

This Clinical Update aligns with the 2019 IASP Global Year Against Pain in the Vulnerable and selectively reviews recurring issues as well as the best available evidence and practice.

RESULTS

The past decade of pain research has involved the development of standardized assessment tools appropriate for individuals with severe IDD; however, there is little empirical evidence that pain is being better assessed or managed clinically. There is limited evidence available to inform effective pain management practices; therefore, treatment approaches are largely empiric and highly variable. This is problematic because individuals with IDD are at risk of developing drug-related side effects, and treatment approaches effective for other populations may exacerbate pain in IDD populations. Scientifically, we are especially challenged by biases in self-reported and proxy-reported pain scores, identifying valid outcome measures for treatment trials, being able to adequately power studies due to small sample sizes, and our inability to easily explore the underlying pain mechanisms due to compromised ability to self-report.

CONCLUSION

Despite the critical challenges, new developments in research and knowledge translation activities in pain and IDD continue to emerge, and there are ongoing international collaborations.

Automatic Detection of Pain from Facial Expressions: A Survey

Pain sensation is essential for survival, since it draws attention to physical threat to the body. Pain assessment is usually done through self-reports. However, self-assessment of pain is not available in the case of noncommunicative patients, and therefore, observer reports should be relied upon. Observer reports of pain could be prone to errors due to subjective biases of observers. Moreover, continuous monitoring by humans is impractical. Therefore, automatic pain detection technology could be deployed to assist human caregivers and complement their service, thereby improving the quality of pain management, especially for noncommunicative patients. Facial expressions are a reliable indicator of pain, and are used in all observer-based pain assessment tools. Following the advancements in automatic facial expression analysis, computer vision researchers have tried to use this technology for developing approaches for automatically detecting pain from facial expressions. This paper surveys the literature published in this field over the past decade, categorizes it, and identifies future research directions. The survey covers the pain datasets used in the reviewed literature, the learning tasks targeted by the approaches, the features extracted from images and image sequences to represent pain-related information, and finally, the machine learning methods used.

Evaluation of the Psychometric Properties of PainChek® in UK Aged Care Residents with advanced dementia

BACKGROUND

The aim of this study was to further validate PainChek®, an electronic pain assessment instrument, with a population living with dementia in a UK care home.

METHOD

This study utilised a correlational design to evaluate the psychometric properties of PainChek® when compared to the Abbey Pain Scale (APS). Blinded paired pain assessments were completed at rest and immediately post-movement by a researcher and a nurse. A total of 22 participants with a diagnosis of moderate-to-severe dementia and a painful condition were recruited using opportunity sampling.

RESULTS

Overall, 302 paired assessments were collected for 22 participants. Out of these 179 were conducted during rest and 123 were immediately post-movement. The results demonstrated a positive significant correlation between overall PainChek® pain scores and overall APS pain scores (r = 0.818, N = 302, p < .001, one-tailed), satisfactory internal consistency (α = 0.810), moderate single measure intraclass correlation (ICC = 0.680) and substantial inter-rater agreement (κ = 0.719).

CONCLUSIONS

PainChek® has demonstrated to be a valid and reliable instrument to assess the presence and severity of pain in people with moderate-to-severe dementia living in aged care.

The effect of PARO robotic seals for hospitalized patients with dementia: A feasibility study

Robotic seals have been studied in long-term care settings; though, no studies of patients with dementia in the acute care setting have been reported. The purpose of this study was to evaluate the feasibility of PARO interventions for hospitalized patients with dementia, determine physiological effects and describe social-affective interactions. Using a prospective descriptive design with pre-post PARO intervention physiological measurements, we studied 55 participants who received up to five 15-min PARO interventions. The PARO was favorably accepted for 212 (95%) of the 223 PARO interventions. Differences in pre- and post-physiological measures for mean arterial pressure, pulse, respiration, oxygenation, stress, and pain levels were evaluated using Wilcoxon Signed Rank test with statistically significant pre and post differences (p=<0.05); however, the differences were not clinically significant. Participants (95%) demonstrated beneficial PARO interactions with the most frequent interactions being speaking and petting. The PARO shows promise for enhancing social and affective responses for hospitalized patients with dementia.

Challenges in pain assessment and management among individuals with intellectual and developmental disabilities

Pain is common for individuals with intellectual and developmental disabilities, and we need to accelerate the use of evidence-based approaches to assess and manage pain.

Introduction:

Intellectual and developmental disabilities (IDD) include conditions associated with physical, learning, language, behavioural, and/or intellectual impairment. Pain is a common and debilitating secondary condition compromising functional abilities and quality of life.

Objectives:

This article addresses scientific and clinical challenges in pain assessment and management in individuals with severe IDD.

Methods:

This Clinical Update aligns with the 2019 IASP Global Year Against Pain in the Vulnerable and selectively reviews recurring issues as well as the best available evidence and practice.

Results:

The past decade of pain research has involved the development of standardized assessment tools appropriate for individuals with severe IDD; however, there is little empirical evidence that pain is being better assessed or managed clinically. There is limited evidence available to inform effective pain management practices; therefore, treatment approaches are largely empiric and highly variable. This is problematic because individuals with IDD are at risk of developing drug-related side effects, and treatment approaches effective for other populations may exacerbate pain in IDD populations. Scientifically, we are especially challenged by biases in self-reported and proxy-reported pain scores, identifying valid outcome measures for treatment trials, being able to adequately power studies due to small sample sizes, and our inability to easily explore the underlying pain mechanisms due to compromised ability to self-report.

Conclusion:

Despite the critical challenges, new developments in research and knowledge translation activities in pain and IDD continue to emerge, and there are ongoing international collaborations.

A child in pain: A psychologist’s perspective on changing priorities in scientific understanding and clinical care

My research and clinical career followed a trajectory of increasing appreciation for the importance of social factors as determinants of pain experience and expression. The social contexts of children’s lives determine whether infants and children are exposed to pain, how socialization in family and ethnocultural contexts lead to pain as a social experience, comprised of thoughts and feelings as well as sensory input, how others shape pain experience and expression, less so for automatic/reflexive features than purposeful representations, and how other's appraisals of children’s pain reflect the observer's unique background and capacities for intervening in the child’s interests. A greater understanding of the social dimensions of pain, as reflected in the social communication model of pain, would support innovation of psychological and social interventions.

Developing a Pain Intensity Measure for Persons with Dementia: Initial Construction and Testing

OBJECTIVE

The goal of this study was to identify a limited set of pain indicators that were most predicive of physical pain. We began with 140 items culled from existing pain observation tools and used a modified Delphi approach followed by statistical analyses to reduce the item pool.

METHODS

Through the Delphi Method, we created a candidate item set of behavioral indicators. Next, trained staff observed nursing home residents and rated the items on scales of behavior intensity and frequency. We evaluated associations among the items and expert clinicians' assessment of pain intensity.

SETTING

Four government-owned nursing homes and 12 community nursing homes in Alabama and Southeastern Pennsylvania.

PARTICIPANTS

Ninety-five residents (mean age = 84.9 years) with moderate to severe cognitive impairment.

RESULTS

Using the least absolute shrinkage and selection operator model, we identified seven items that best predicted clinicians' evaluations of pain intensity. These items were rigid/stiff body or body parts, bracing, complaining, expressive eyes, grimacing, frowning, and sighing. We also found that a model based on ratings of frequency of behaviors did not have better predictive ability than a model based on ratings of intensity of behaviors.

CONCLUSIONS

We used two complementary approaches-expert opinion and statistical analysis-to reduce a large pool of behavioral indicators to a parsimonious set of items to predict pain intensity in persons with dementia. Future studies are needed to examine the psychometric properties of this scale, which is called the Pain Intensity Measure for Persons with Dementia.

Psychometric Evaluation of the MOBID Dementia Pain Scale in U.S. Nursing Homes

PURPOSE

The Mobilization-Observation-Behavior-Intensity-Dementia (MOBID) Pain Scale is an observational tool in which raters estimate pain intensity on a 0-10 scale following five standardized movements. The tool has been shown to be valid and reliable in northern European samples and could be useful in the United States (US) for research and clinical purposes. The goal of this study was to examine the validity and reliability of the MOBID among English-speaking nursing home residents in the US.

DESIGN

Cross-sectional study.

SETTINGS

Sixteen nursing homes in Pennsylvania, New Jersey, Georgia and Alabama.

PARTICIPANTS

One hundred thirty-eight older adults with dementia and moderate to severe cognitive impairment.

METHODS

Validity was evaluated using Spearman correlations between the MOBID overall pain intensity score and 1) an expert clinician's pain intensity rating (ECPIR), 2) nursing staff surrogate pain intensity ratings, and 3) known correlates of pain. We assessed internal consistency by Cronbach's alpha.

RESULTS

MOBID overall scores were significantly associated with expert clinician's rating of current and worst pain in the past week (rho = 0.54, and 0.57; p < .001, respectively). Statistically significant associations also were found between the MOBID overall score and nursing staff current and worst pain intensity ratings as well as the Cornell Scale for Depression in Dementia (rho = 0.29; p < .001). Internal consistency was acceptable (α = 0.83).

CONCLUSIONS AND CLINICAL IMPLICATIONS

Result of this study support the use of the MOBID in English-speaking staff and residents in the US. Findings also suggest that the tool can be completed by trained, nonclinical staff.

Orofacial pain assessment and management for patients with dementia: A meta-ethnography

Delivering dental treatment for patients with dementia can be challenging, and the complexity of treatment provision can increase as dementia progresses. Treatment at the later stages of dementia can be associated with ethical challenges and procedural risk meaning that a comprehensive patient assessment is crucial; the presence of orofacial pain is a key indication for active intervention from dental teams. To explore the process of oro-facial pain assessment and management, a comprehensive review of qualitative literature was undertaken by searching six electronic databases. No literature specific to orofacial pain assessment was identified. The inclusion criteria were widened to explore assessment and management of pain in general for patients with dementia. Meta-ethnography with reciprocal translation was used to identify key concepts and themes and synthesise information applicable to the dental setting. Three major themes arose as follows: challenges with pain assessment, challenges with pain management and logistics and education. Healthcare teams struggle with pain identification in patients with dementia though many signs were identified which may suggest a patient is experiencing pain. The long-term knowledge of individual patients held by family members and care teams can allow identification of deviation from patients' normal states; this knowledge can assist healthcare professionals in determining whether to provide specific treatments or interventions. Pain assessment tools were found to be problematic and are unlikely to be a practical solution to use for complex patients in dental settings. Education for dental and wider care teams on orofacial pain would be highly valuable; yet, this needs to be based on suitable evidence.

Which Facial Descriptors Do Care Home Nurses Use to Infer Whether a Person with Dementia Is in Pain?

Objectives

Pain assessment in people with advanced dementia relies strongly on observable pain behaviors, such as facial expressions, body movement, and vocalizations. However, the process of inferring pain in others based on such observations is not well understood. We aimed to investigate which features of facial expressions caregivers rely on when inferring the presence and intensity of pain in people with dementia.

Methods

A questionnaire, including items on 13 facial descriptors, which were extracted from established observational scales for pain in dementia, was sent to 366 nursing homes in Germany. We asked the nurses to observe patients with dementia and then rate their observations using the facial descriptors, as well as to provide an overall pain estimate of the residents' pain. We used regression analyses to identify which facial descriptors nurses use most commonly to infer whether a person with dementia is in pain and to grade the pain's intensity.

Results

Seventy-nine nursing homes participated (22% response rate), and a total of 284 completed observer ratings were returned. The observed individuals suffered from moderate to severe dementia and were observed in everyday care situations. The average pain estimated by the caregivers was slight to moderate. Mainly anatomically based descriptors ("frowning," "narrowed eyes") and indicators of emotional arousal ("looking tense," looking frightened") significantly predicted the overall pain ratings by nurses, explaining approximately 45% of the variance.

Conclusions

Although all presented facial descriptors were used by the nurses, some descriptors were used clearly more frequently than others to infer whether a resident with dementia was in pain. Development of observational pain tools and training in their use should consider the preexisting assumptions that nurses use to infer pain as well as their potential bias.

A novel pain assessment tool incorporating automated facial analysis: interrater reliability in advanced dementia

OBJECTIVES

Regardless of its severity, dementia does not negate the experience of pain. Rather, dementia hinders self-reporting mechanisms in affected individuals because they lose the ability to do so. The primary aim of this study was to examine the interrater reliability of the electronic Pain Assessment Tool (ePAT) among raters when assessing pain in residents with moderate-to-severe dementia. Secondly, it sought to examine the relationship between total instrument scores and facial scores, as determined by automated facial expression analysis.

STUDY DESIGN

A 2-week observational study.

SETTING

An accredited, high-care, and dementia-specific residential aged care facility in Perth, Western Australia.

PARTICIPANTS

Subjects were 10 residents (age range: 63.1-84.4 years old) predominantly with severe dementia (Dementia Severity Rating Scale score: 46.3±8.4) rated for pain by 11 aged care staff. Raters (female: 82%; mean age: 44.1±12.6 years) consisted of one clinical nurse, four registered nurses, five enrolled nurses, and one care worker.

MEASUREMENTS

ePAT measured pain using automated detection of facial action codes and recordings of pain behaviors.

RESULTS

A total of 76 assessments (rest =38 [n=19 pairs], movement =38 [n=19 pairs]) were conducted. At rest, raters' agreement was excellent on overall total scores (coefficient of concordance =0.92 [95% CI: 0.85-0.96]) and broad category scores (κ=1.0). Agreement was moderate (κ=0.59) on categorical scores upon movement, while it was exact in 68.4% of the cases. Agreement in actual pain category scores gave κw=0.72 (95% CI: 0.58-0.86) at rest and κw=0.69 (95% CI: 0.50-0.87) with movement. All raters scored residents with higher total scores post-mobilization compared to rest. More facial action unit codes were also detected during pain (mean: 2.5 vs 1.9; p<0.0012) and following mobilization (mean: 2.5 vs 1.7; p<0.0001) compared to no pain and rest, respectively.

CONCLUSIONS

ePAT, which combines automated facial expression analysis and clinical behavioral indicators in a single observational pain assessment tool, demonstrates good reliability properties, which supports its appropriateness for use in residents with advanced dementia.

Pain Assessment in Dementia: Evaluation of a Point-of-Care Technological Solution

Pain is common among people with moderate to severe dementia, but inability of patients to self-report means it often goes undetected and untreated. We developed the electronic Pain Assessment Tool (ePAT) to address this issue. A point-of-care App, it utilizes facial recognition technology to detect facial micro-expressions indicative of pain. ePAT also records the presence of pain-related behaviors under five additional domains (Voice, Movement, Behavior, Activity, and Body). In this observational study, we assessed the psychometric properties of ePAT compared to the Abbey Pain Scale (APS). Forty aged care residents (70% females) over the age of 60 years, with moderate to severe dementia and a history of pain-related condition(s) were recruited into the study. Three hundred and fifty-three paired pain assessments (either at rest or post-movement) were recorded and analyzed. The ePAT demonstrated excellent concurrent validity (r = 0.882, 95% CI: 0.857–0.903) and good discriminant validity. Inter-rater reliability score was good overall (weighted κ= 0.74, 95% CI: 0.68–0.80) while internal consistency was excellent. ePAT has psychometric properties which make it suitable for use in non-communicative patients with dementia. ePAT also has the advantage of automated facial expression assessment which provides objective and reproducible evidence of the presence of pain.

Using observational facial descriptors to infer pain in persons with and without dementia

Background

For patients with advanced dementia, pain diagnosis and assessment requires observations of pain-indicative behavior by others. One type of behavior that has been shown to be a promising candidate is the facial response to pain. To further test how pain-indicative facial responses are, we investigated the predictive power of observational facial descriptors to (i) predict the self-report of pain and (ii) to differentiate between non-painful and painful conditions. In addition, the expertise of the observers (nurses vs. healthy controls) and the cognitive status of the observed (dementia vs. cognitively healthy) were considered.

Methods

Overall 62 participants (32 nurses and 30 control subjects) watched 40 video-clips, showing facial expressions of older individuals with and without dementia during non-painful and painful pressure stimulation. After each clip, participants were asked to rate the videos using commonly used facial descriptors of pain and also to provide global pain estimate ratings of how much pain the observed individual might have experienced.

Results

Out of the 12 facial descriptors used, only 7 were able to differentiate between non-painful and painful conditions. Moreover, participants were better in predicting the pain self-report of the observed individuals when using facial descriptors than when using global pain estimates. Especially, the anatomically-orienting descriptors (e.g. opened mouth, narrowing eyes) showed greatest predictive power. Results were not affected by pain-expertise of the observers (nurses vs. control subjects) or diagnostic status of the observed (patients with dementia vs. cognitively unimpaired subjects).

Conclusions

The fine-grained and specific observation of facial responses to acute pain appeared to provide valid indication of pain that is not compromised when patients with dementia are observed. The regular professional training does not put nurses at advantage to detect pain via facial responses.

Objectively measuring pain using facial expression: is the technology finally ready?

Currently, clinicians observe pain-related behaviors and use patient self-report measures in order to determine pain severity. This paper reviews the evidence when facial expression is used as a measure of pain. We review the literature reporting the relevance of facial expression as a diagnostic measure, which facial movements are indicative of pain, and whether such movements can be reliably used to measure pain. We conclude that although the technology for objective pain measurement is not yet ready for use in clinical settings, the potential benefits to patients in improved pain management, combined with the advances being made in sensor technology and artificial intelligence, provide opportunities for research and innovation.

Pain in severe dementia: A comparison of a fine-grained assessment approach to an observational checklist designed for clinical settings

Background

Fine‐grained observational approaches to pain assessment (e.g. the Facial Action Coding System; FACS) are used to evaluate pain in individuals with and without dementia. These approaches are difficult to utilize in clinical settings as they require specialized training and equipment. Easy‐to‐use observational approaches (e.g. the Pain Assessment Checklist for Limited Ability to Communicate‐II; PACSLAC‐II) have been developed for clinical settings. Our goal was to compare a FACS‐based fine‐grained system to the PACSLAC‐II in differentiating painful from non‐painful states in older adults with and without dementia.

Method

We video‐recorded older long‐term care residents with dementia and older adult outpatients without dementia, during a quiet baseline condition and while they took part in a physiotherapy examination designed to identify painful areas. Videos were coded using pain‐related behaviours from the FACS and the PACSLAC‐II.

Results

Both tools differentiated between painful and non‐painful states, but the PACSLAC‐II accounted for more variance than the FACS‐based approach. Participants with dementia scored higher on the PACSLAC‐II than participants without dementia.

Conclusion

The results suggest that easy‐to‐use observational approaches for clinical settings are valid and that there may not be any clinically important advantages to using more resource‐intensive coding approaches based on FACS. We acknowledge, as a limitation of our study, that we used as baseline a quiet condition that did not involve significant patient movement. In contrast, our pain condition involved systematic patient movement. Future research should be aimed at replicating our results using a baseline condition that involves non‐painful movements.

Significance

Examining older adults with and without dementia, a brief observational clinical approach was found to be valid and accounted for more variance in differentiating pain‐related and non‐pain‐related states than did a detailed time‐consuming fine‐grained approach.

Measurement properties, feasibility and clinical utility of the Doloplus-2 pain scale in older adults with cognitive impairment: a systematic review

Background

The Doloplus-2 is a pain assessment scale for assessing pain in older adults with cognitive impairment. It is used in clinical practice and research. However, evidence for its measurement properties, feasibility and clinical utility remain incomplete. This systematic review synthesizes previous research on the measurement properties, feasibility and clinical utility of the scale.

Method

We conducted a systematic search in three databases (CINAHL, Medline and PsycINFO) for studies published in English, French, German, Dutch/Flemish or a Scandinavian language between 1990 and April 2017. We also reviewed the Doloplus-2 homepage and reference lists of included studies to supplement our search. Two reviewers independently reviewed titles and abstracts and performed the quality assessment and data abstraction.

Results

A total of 24 studies were included in this systematic review. The quality of the studies varied, but many lacked sufficient detail about the samples and response rates. The Doloplus-2 has been studied using diverse samples in a variety of settings; most study participants were in long-term care and in people with dementia. Sixteen studies addressed various aspects of the scale’s feasibility and clinical utility, but their results are limited and inconsistent across settings and samples. Support for the scale’s reliability, validity and responsiveness varied widely across the studies. Generally, the reliability coefficients reached acceptable benchmarks, but the evidence for different aspects of the scale’s validity and responsiveness was incomplete.

Conclusion

Additional high-quality studies are warranted to determine in which populations of older adults with cognitive impairment the Doloplus-2 is reliable, valid and feasible. The ability of the Doloplus-2 to meaningfully quantify pain, measure treatment response and improve patient outcomes also needs further investigation.

Trial registration

PROSPERO reg. no.: CRD42016049697 registered 20. Oct. 2016.

Electronic supplementary material

The online version of this article (10.1186/s12877-017-0643-9) contains supplementary material, which is available to authorized users.

Problems of video-based pain detection in patients with dementia: a road map to an interdisciplinary solution

BACKGROUND

Given the unreliable self-report in patients with dementia, pain assessment should also rely on the observation of pain behaviors, such as facial expressions. Ideal observers should be well trained and should observe the patient continuously in order to pick up any pain-indicative behavior; which are requisitions beyond realistic possibilities of pain care. Therefore, the need for video-based pain detection systems has been repeatedly voiced. Such systems would allow for constant monitoring of pain behaviors and thereby allow for a timely adjustment of pain management in these fragile patients, who are often undertreated for pain.

METHODS

In this road map paper we describe an interdisciplinary approach to develop such a video-based pain detection system. The development starts with the selection of appropriate video material of people in pain as well as the development of technical methods to capture their faces. Furthermore, single facial motions are automatically extracted according to an international coding system. Computer algorithms are trained to detect the combination and timing of those motions, which are pain-indicative.

RESULTS/CONCLUSION

We hope to encourage colleagues to join forces and to inform end-users about an imminent solution of a pressing pain-care problem. For the near future, implementation of such systems can be foreseen to monitor immobile patients in intensive and postoperative care situations.

The Influence of Executive Functioning on Facial and Subjective Pain Responses in Older Adults

Cognitive decline is known to reduce reliability of subjective pain reports. Although facial expressions of pain are generally considered to be less affected by this decline, empirical support for this assumption is sparse. The present study therefore examined how cognitive functioning relates to facial expressions of pain and whether cognition acts as a moderator between nociceptive intensity and facial reactivity. Facial and subjective responses of 51 elderly participants to mechanical stimulation at three intensities levels (50 kPa, 200 kPa, and 400 kPa) were assessed. Moreover, participants completed a neuropsychological examination of executive functioning (planning, cognitive inhibition, and working memory), episodic memory, and psychomotor speed. The results showed that executive functioning has a unique relationship with facial reactivity at low pain intensity levels (200 kPa). Moreover, cognitive inhibition (but not other executive functions) moderated the effect of pressure intensity on facial pain expressions, suggesting that the relationship between pressure intensity and facial reactivity was less pronounced in participants with high levels of cognitive inhibition. A similar interaction effect was found for cognitive inhibition and subjective pain report. Consequently, caution is needed when interpreting facial (as well as subjective) pain responses in individuals with a high level of cognitive inhibition.

The use of facial expressions for pain assessment purposes in dementia: a narrative review

Facial expressions convey reliable nonverbal signals about pain and thus are very useful for assessing pain in patients with limited communicative ability, such as patients with dementia. In this review, we present an overview of the available pain observation tools and how they make use of facial expressions. Utility and reliability of facial expressions to measure pain in dementia are discussed, together with the effect of dementia severity on these facial expressions. Next, we present how behavioral alterations may overlap with facial expressions of pain, and may even influence the extent to which pain is facially expressed. The main focus is on disinhibition, apathy and emotional changes. Finally, an overview of theoretical considerations and practical implications is presented for assessing pain using facial expressions in clinical settings.

Ethnic Differences in Nonverbal Pain Behaviors Observed in Older Adults with Dementia

Research supports using nonverbal pain behaviors to identify pain in persons with dementia. It is unknown whether variations exist among ethnic groups in the expression of nonverbal pain behaviors in this special population. The purpose of this descriptive study was to examine ethnic differences in the presentation and intensity of nonverbal pain behaviors among African American, Caucasian, and Hispanic older adults with dementia when screened for pain by certified nursing assistants. Six certified nursing assistants were trained to review and score 28 video recordings of subjects with dementia for nonverbal pain behaviors using the Non-Communicative Patient's Pain Assessment Instrument. Chi-square was used to examine differences among ethnic groups with regard to the display of nonverbal pain behaviors, and ANOVA was used to evaluate differences in the intensity of overall pain across ethnic groups. Of the 168 assessments, pain words (28%), pain noises (29.8%), and pain faces (28%) were observed most often as indicators of pain. Rubbing, bracing, and restlessness were rarely noted. Chi-square analysis revealed ethnic differences in the expression of pain words (χ(2) = 19.167, p < .001). No significant differences were noted across ethnic groups with regards to overall pain intensity. These findings are the first to examine ethnic differences in nonverbal pain behaviors for older adults with dementia. However, future work should examine assessment tendencies of providers in a larger, more diverse sample.

[Validity and reliability of the Korean version of the pain assessment checklist for seniors with limited ability to communicate]

PURPOSE

This study was done to develop and test the validity and reliability of the Korean version of the Pain Assessment Checklist for Seniors with Limited Ability to Communicate (PACSLAC-K) in assessing pain of elders with dementia living in long-term care facilities.

METHODS

The PACSLAC-K was developed through forward-backward translation techniques. Survey data were collected from 307 elders with dementia living in 5 long-term care facilities in Korea. Data were analyzed using descriptive statistics, Pearson correlation, Spearman's rho, paired t-test, ROC (receiver operation characteristic) curve with the SPSS/WIN (20.0) program.

RESULTS

The PACSLAC-K showed high internal consistency (.90), inter-rater reliability (.86), intra-rater reliability (.93), and high concurrent validity (.74) in paired t-test with PAINAD. Discriminant validity also showed a significant difference compared with no pain. The PACSLAC-K showed a sensitivity of .93, specificity of .88, and Area Under the Curve of .95 in the ROC curve.

CONCLUSION

The findings of this study demonstrate that PACSLAC-K is useful in assessing pain for elders with dementia living in long-term care facilities.

Development and validation of a new self-report measure of pain behaviors

Pain behaviors that are maintained beyond the acute stage after injury can contribute to subsequent psychosocial and physical disability. Critical to the study of pain behaviors is the availability of psychometrically sound pain behavior measures. In this study we developed a self-report measure of pain behaviors, the Pain Behaviors Self Report (PaB-SR). PaB-SR scores were developed using item response theory and evaluated using a rigorous, multiple-witness approach to validity testing. Participants included 661 survey participants with chronic pain and with multiple sclerosis, back pain, or arthritis; 618 survey participants who were significant others of a chronic pain participant; and 86 participants in a videotaped pain behavior observation protocol. Scores on the PaB-SR were found to be measurement invariant with respect to clinical condition. PaB-SR scores, observer reports, and the videotaped protocol yielded distinct, but convergent views of pain behavior, supporting the validity of the new measure. The PaB-SR is expected to be of substantial utility to researchers wishing to explore the relationship between pain behaviors and constructs such as pain intensity, pain interference, and disability.

Assessment of people with cognitive impairment and hip fracture: a systematic review and meta-analysis

This study systematically assesses the literature pertaining to the diagnostic test accuracy of assessment instruments to evaluate patients following hip fracture surgery who present with cognitive impairment. A systematic review and meta-analysis was performed. Studies assessing the reliability, validity, sensitivity or specificity of assessment tools for patients following hip fracture who were cognitively impaired were included. An assessment of published (MEDLINE, EMBASE, CINHAL, AMED, Cochrane library, PEDro) and unpublished/trial registry (OpenGrey, the WHO International Clinical Trials Registry Platform, Current Controlled Trials, the UK National Research Register Archive) databases were undertaken. Methodological quality of the literature was assessed using the QUADAS-2 appraisal tool. Nine studies including 690 participants, with a mean age of 82.1 years were included. The literature demonstrated a high risk of bias for study methodology, but low risk of bias for applicability. Two assessment domains were recognized: pain and delirium. For pain, the Facial Action Coding System (FACS) and DOLOPLUS-2 tools possessed strong inter-rater reliability and internal consistency, with the FACS demonstrating concurrent validity with other pain scales. For delirium, the Delirium Rating Scale-Revisited-98 (DRS-R-98) demonstrated high inter-rater reliability and sensitivity and specificity, with the NEECHAM Confusion Scale possessing high internal consistency. To conclude, there is a paucity of literature assessing the reliability, validity and diagnostic test accuracy of instruments to assess people with cognitive impairment following hip fracture surgery. Based on the current available data, delirium may be best assessed using the NEECHAM Confusion Scale or DRS-R-98. Pain is most accurately evaluated using the FACS.

What about pain in disorders of consciousness?

The management and treatment of acute pain is very difficult in non-communicative patients with disorders of consciousness (i.e., vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state), creating an ethical dilemma for caregivers and an emotional burden among both relatives and caregivers. In this review, we summarize recent findings about the neural substrates of nociception and pain in VS/UWS patients as well as recent behavioral assessment methods of nociception specifically designed for patients in altered states of consciousness. We will finally discuss implications for pain treatment in these patients.