A Technical Note on the PainChek™ System: A Web Portal and Mobile Medical Device for Assessing Pain in People With Dementia

The effectiveness of educational interventions in enhancing health professionals' and students' pain assessment for people living with dementia: A systematic review

OBJECTIVES

To evaluate the effectiveness of educational interventions in improving the knowledge, attitudes, beliefs, self-efficacy, and confidence of health professionals' and students' pain assessment in dementia.

DESIGN

A systematic review was conducted and reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

DATA SOURCES

Eight English databases were searched: Medline, Psychological Information Database, Cochrane Library, PubMed, Cumulative Index of Nursing and Allied Health Literature, ProQuest, Scopus, and Web of Science.

REVIEW METHODS

Databases were searched without any time limit using synonyms for "health personnel", "health students", "pain assessment", "dementia", "educational intervention", "knowledge", "attitude", "beliefs", "self-efficacy", and "confidence". The review included studies published up to 26 March 2024. Reference lists and review papers were screened to identify additional papers. Data was synthesised according to the intervention designs and outcome measures and presented narratively.

RESULTS

The seven studies retained involved 517 registered nurses, 17 physical therapists, eight occupational therapists, 17 physicians, 99 nursing students, and 161 medical students. All seven studies evaluated the effectiveness of educational interventions on knowledge, three on attitudes, two on confidence, one on self-efficacy, and none on beliefs of pain assessment in dementia. Health professionals' and students' knowledge scores improved irrespective of the training delivery mode and duration. Their confidence scores improved irrespective of training duration. Health professionals' self-efficacy scores improved upon completion of online training. Overall attitude scores for most health professionals and students did not increase upon educational intervention completion, irrespective of the training delivery mode and duration. Educational interventions mainly focused on methods that assess pain in both communicative and non-communicative people with dementia.

CONCLUSIONS

Educational interventions enhance health professionals' and students' knowledge, self-efficacy, and confidence in pain assessment in dementia. Studies showed mixed findings related to attitudes, and there is a limited understanding of interventions' effectiveness in correcting erroneous beliefs.

Association between pain and behavioral and psychological symptoms of dementia (BPSD) in older adults with dementia: a systematic review and meta-analysis

BACKGROUND

Behavioral and Psychological Symptoms of Dementia (BPSD) are core and highly detrimental symptoms of dementia. Previous research has suggested a potential association between pain and BPSD, but pieces of evidence are lacking.

OBJECTIVE

This study aimed to investigate the association between pain and BPSD in patients with dementia.

METHODS

Seven databases were searched from inception to February 2024, including PubMed, Web of Science, Embase, CINAHL, Cochrane Library, China National Knowledge Infrastructure (CNKI), and WanFang Data. Cross-sectional and longitudinal studies were included. We included studies that involved older adults with dementia and assessed the pain and BPSD by using validated tools. The quality of cohort studies was assessed using the Newcastle-Ottawa Scale, and the quality of cross-sectional studies was evaluated using AHRQ criteria. Two researchers independently screened the articles, extracted the data, and assessed the quality of the studies. A meta-analysis was conducted using Stata 15.0. Data not suitable for meta-analysis was analyzed through a qualitative synthesis to provide a comprehensive overview of the findings.

RESULTS

A total of 12 studies were included, comprising nine cross-sectional studies and three longitudinal studies. All studies were of medium to high quality. Studies reported that pain was associated with 13 different types of BPSD, including agitation, aggression, abnormal thought process, anxiety, care refusal, delirium, depression, delusions, hallucinations, sexual disinhibition, sleep disturbances, socially inappropriate behavior, and wandering. A pooled odds ratio (OR) of 1.25 (95%CI [1.17,1.33], p < 0.001) indicated a significant positive association between pain and BPSD. Specifically, pain was positively associated with aggression (OR = 1.07, 95%CI [1.00,1.13], p = 0.035), agitation (OR = 1.17, 95%CI [1.14, 1.21], p < 0.001), and depression (OR = 2.11, 95%CI [1.76,2.52], p < 0.001). However, pain was significantly negatively associated with wandering (OR = 0.77, 95%CI [0.73, 0.81], p < 0.001).

CONCLUSIONS

Pain was significantly positively associated with BPSD in patients with dementia, specifically with aggression, depression, and agitation. However, pain was negatively associated with wandering. This emphasizes the importance of further research in this area and improved interventions for pain and BPSD management.

TRIAL REGISTRATION

www.crd.york.ac.uk CRD42023432320, registered 08/08/2024.

Evaluation of the psychometric properties of PainChek in older general hospital patients with dementia

BACKGROUND

Pain is common in people with dementia in general hospitals. This can be difficult to identify.

OBJECTIVES

To evaluate the psychometric properties of PainChek electronic pain assessment tool.

DESIGN

Cross-sectional psychometric study.

SETTING

Six medical care of older people wards from two general hospitals in greater London, UK.

SUBJECTS

63 people with clinical diagnosis of dementia: mean 84 years (SD 6.7), 59% female, 69% living in their own homes, 64% white British, 77% moderate/severe dementia.

METHOD

Psychometric evaluation of PainChek, a point-of-care electronic pain assessment tool combining artificial intelligence, facial analysis and smartphone technology. From a total of 216 assessments, we tested PainChek's inter-rater reliability (IRR) (Cohen's kappa), internal consistency (Cronbach's alpha) and concurrent validity (Pearson's coefficient) between PainChek and Pain Assessment in Advanced Dementia (PAINAD) scores at rest and post-movement [95% confidence interval (95% CI) where appropriate]. We assessed convergent validity with Symptom Management-End of Life in Dementia scale (SM-EOLD) (Pearson's coefficient) and discriminant validity (rest vs post-movement).

RESULTS

IRR was 0.714 (95% CI 0.562 to 0.81) (rest) and 0.817 (95% CI 0.692 to 0.894) (post-movement). Internal consistency was 0.755 (rest) and 0.833 (post-movement). Concurrent validity with PAINAD was 0.528 (95% CI 0.317 to 0.690) (rest) and 0.787 (0.604 to 0.891) (post-movement). Convergent validity with SM-EOLD was -0.555 (95% CI -0.726 to -0.318) (rest) and -0.5644 (95% CI -0.733 to -0.331) (post-movement). Discriminant validity was significant.

CONCLUSIONS

PainChek is a valid and reliable pain assessment tool for people with dementia in general hospitals. Further consideration will be needed for implementation into this setting.

Protocol for a usability and pilot implementation study of a digital medical device to assess pain in non-verbal people with dementia in Portuguese residential care facilities

Objective

People living with moderate to severe dementia (PLWD) are often unable to self-report pain. This matter is of particular concern given that up to 80% experience chronic pain. Mistreated or untreated pain in PLWD is associated with symptoms such as agitation and aggression, and unnecessary use of antipsychotic agents. Further, it can also engender mental burden in formal caregivers. The PainChek® App, a regulatory cleared class I medical device, enables the assessment and monitoring of pain in people who cannot verbalise it, such as those with moderate to severe dementia. To date there are no data on the real-world use of the PainChek® App in Portugal. To address this gap, we report the protocol of a pilot study, which combines usability evaluation and implementation research.

Methods

Usability evaluation of the PainChek® (Portuguese) App will be guided by the ISO framework, focused on effectiveness, efficiency and user satisfaction. Implementation research will combine qualitative interviews to inform the implementation process, a longitudinal study of formal caregivers' psychological variables, implementation outcomes, plus qualitative interviews to explore the 'hows' and 'whys' of implementation. The NASSS framework will be used as an implementation framework, together with the COM-B model and the Theoretical Domains Framework.

Results

The usability and implementation studies have received ethics approval from the Egas Moniz Ethics Committee, under numbers 1367 and 64/24, respectively.

Conclusion

This study is expected to inform the scale-up of the PainChek® (Portuguese) App in real-world settings and establish a foundation for a larger effectiveness and implementation study.

Automated landmark-based cat facial analysis and its applications

Facial landmarks, widely studied in human affective computing, are beginning to gain interest in the animal domain. Specifically, landmark-based geometric morphometric methods have been used to objectively assess facial expressions in cats, focusing on pain recognition and the impact of breed-specific morphology on facial signaling. These methods employed a 48-landmark scheme grounded in cat facial anatomy. Manually annotating these landmarks, however, is a labor-intensive process, deeming it impractical for generating sufficiently large amounts of data for machine learning purposes and for use in applied real-time contexts with cats. Our previous work introduced an AI pipeline for automated landmark detection, which showed good performance in standard machine learning metrics. Nonetheless, the effectiveness of fully automated, end-to-end landmark-based systems for practical cat facial analysis tasks remained underexplored. In this paper we develop AI pipelines for three benchmark tasks using two previously collected datasets of cat faces. The tasks include automated cat breed recognition, cephalic type recognition and pain recognition. Our fully automated end-to-end pipelines reached accuracy of 75% and 66% in cephalic type and pain recognition respectively, suggesting that landmark-based approaches hold promise for automated pain assessment and morphological explorations.

Behaviours and psychological symptoms of childhood dementia: two cases of psychosocial interventions

Childhood dementias are a group of rare, fatal neurodegenerative disorders, characterised by global cognitive decline, loss of previously acquired developmental skills and behaviours and psychological symptoms of dementia (BPSD). Batten disease, or neuronal ceroid lipofuscinosis, and Sanfilippo syndrome, or mucopolysaccharidosis type III, are two of the more common forms of childhood dementia disorders worldwide. While psychosocial interventions are the best available therapeutic approach for BPSD management in adult-onset dementia, there is very limited literature or clinical experience in the context of childhood dementia. To address this gap, we conducted a descriptive case analysis of BPSD profiles, associated contributing factors and targeted psychosocial interventions in two cases with childhood dementia disorders (Sanfilippo syndrome and CLN3 (juvenile onset) Batten disease) who were referred to Dementia Support Australia, a national dementia behaviour support service in Australia. Primary BPSD identified in these disorders included physical and verbal aggression and irritability/lability. In these cases, contributing factors to the development of BPSD were not monolithic, encompassing pain, caregiver's approach and over or under-stimulation. Improvement in BPSD were observed using the Neuropsychiatric Inventory-Quesionnaire and globally noted as per the qualitative feedback reported by family and caregivers. Person-centred, multimodal psychosocial interventions were recognised as effective therapies in resolving BPSD in these cases. In conclusion, the case studies described the nature and presentation of BPSD in two common forms of childhood dementia and demonstrated the potential benefits of person-centred psychosocial interventions (delivered through national dementia-specific support programs) in alleviating BPSD such as irritability and aggression in these disorders.

Current Trends in Modalities of Pain Assessment: A Narrative Review

Pain is a common complaint among a spectrum of diseases. Although an ideal objective method of pain assessment is lacking, several validated tools are available for use in clinical research and practice. The tool considerations are based upon the parameters to be assessed and factors specific to patient, disease, and availability of instruments. This review classifies and brings the key aspects of currently available pain assessment tools on a single platform to ease the selection process for researchers/practitioners. The tools utilized for pain assessment were collected from articles available in PubMed and Google Scholar databases and classified into the following domains: unidimensional, multi-dimensional, investigation-based, and computerized algorithm-based tools. Their purpose of use and limitations are reviewed. The unidimensional scales are used to describe only the characteristics of pain, like intensity (e.g. numerical rating scale), type (e.g. neuropathic pain questionnaire), or pattern. In contrast, multi-dimensional tools, like Mc Gill Questionnaire, assess not only pain as an individual symptom but also its influence on physical functioning and general well-being. However, certain components like ethnicity, age, cognitive impairment, sedation, and emotion become a limiting factor in selecting the scale. In addition to these scales, a potential role of parameters such as biopotentials/markers has also been shown in pain assessment. Last, artificial intelligence is also being applied in evaluation of pain. Pain measurement is subjective in nature as assessed through questionnaires and observational tools. Currently, multi-dimensional approaches of pain assessment are available, which can lead to precision pain management.

Associations between facial expressions and observational pain in residents with dementia and chronic pain

AIM

To identify specific facial expressions associated with pain behaviors using the PainChek application in residents with dementia.

DESIGN

This is a secondary analysis from a study exploring the feasibility of PainChek to evaluate the effectiveness of a social robot (PARO) intervention on pain for residents with dementia from June to November 2021.

METHODS

Participants experienced PARO individually five days per week for 15 min (once or twice) per day for three consecutive weeks. The PainChek app assessed each resident's pain levels before and after each session. The association between nine facial expressions and the adjusted PainChek scores was analyzed using a linear mixed model.

RESULTS

A total of 1820 assessments were completed with 46 residents. Six facial expressions were significantly associated with a higher adjusted PainChek score. Horizontal mouth stretch showed the strongest association with the score, followed by brow lowering parting lips, wrinkling of the nose, raising of the upper lip and closing eyes. However, the presence of cheek raising, tightening of eyelids and pulling at the corner lip were not significantly associated with the score. Limitations of using the PainChek app were identified.

CONCLUSION

Six specific facial expressions were associated with observational pain scores in residents with dementia. Results indicate that automated real-time facial analysis is a promising approach to assessing pain in people with dementia. However, it requires further validation by human observers before it can be used for decision-making in clinical practice.

IMPACT

Pain is common in people with dementia, while assessing pain is challenging in this group. This study generated new evidence of facial expressions of pain in residents with dementia. Results will inform the development of valid artificial intelligence-based algorithms that will support healthcare professionals in identifying pain in people with dementia in clinical situations.

REPORTING METHOD

The study adheres to the CONSORT reporting guidelines.

PATIENT OR PUBLIC CONTRIBUTION

One resident with dementia and two family members of people with dementia were consulted and involved in the study design, where they provided advice on the protocol, information sheets and consent forms, and offered valuable insights to ensure research quality and relevance.

TRIAL REGISTRATION

Australian and New Zealand Clinical Trials Registry number (ACTRN12621000837820).

Pain prevalence, intensity, and association with neuropsychiatric symptoms of dementia in immigrant and non-immigrant aged care residents in Australia

Pain recognition for culturally diverse people is complex as pain experience is subjective and influenced by cultural background. We compared the prevalence, intensity, and association of pain with neuropsychiatric symptoms (NPS) between immigrants and non-immigrants living with dementia in residential aged care homes (RACHs) who were referred to two Dementia Support Australia programs. Immigrant status was defined by the documented country of birth. Pain and NPS were assessed using PainChek® and the Neuropsychiatric Inventory, respectively. Subgroup analyses were also completed for English-speaking and non-English-speaking immigrants. A total of 17,637 referrals [immigrants, n = 6340; non-immigrants, n = 11,297] from 2792 RACHs were included. There were no significant differences for the prevalence of pain across all groups. Immigrants were slightly more likely to have moderate pain or severe pain than non-immigrants. Non-English-speaking immigrants had 0.5 points higher total pain scores on average (Cohen's d = 0.10 [0.05, 0.15], p < 0.001) than non-immigrants. Total pain score had a significant effect on total NPS severity scores in all groups. While pain prevalence is similar across groups, higher pain intensities are more common among immigrants living with dementia. Increased care staff awareness, education, and training about the potential effect of culture on pain expression is needed.

Incorporation of "Artificial Intelligence" for Objective Pain Assessment: A Comprehensive Review

Pain is a significant health issue, and pain assessment is essential for proper diagnosis, follow-up, and effective management of pain. The conventional methods of pain assessment often suffer from subjectivity and variability. The main issue is to understand better how people experience pain. In recent years, artificial intelligence (AI) has been playing a growing role in improving clinical diagnosis and decision-making. The application of AI offers promising opportunities to improve the accuracy and efficiency of pain assessment. This review article provides an overview of the current state of AI in pain assessment and explores its potential for improving accuracy, efficiency, and personalized care. By examining the existing literature, research gaps, and future directions, this article aims to guide further advancements in the field of pain management. An online database search was conducted via multiple websites to identify the relevant articles. The inclusion criteria were English articles published between January 2014 and January 2024). Articles that were available as full text clinical trials, observational studies, review articles, systemic reviews, and meta-analyses were included in this review. The exclusion criteria were articles that were not in the English language, not available as free full text, those involving pediatric patients, case reports, and editorials. A total of (47) articles were included in this review. In conclusion, the application of AI in pain management could present promising solutions for pain assessment. AI can potentially increase the accuracy, precision, and efficiency of objective pain assessment.

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 .

Clinical impact of a multifaceted intervention aimed at decreasing distress in people living with dementia: evaluating the Reconnect program

Background

To better meet the needs of people living with advanced dementia, Orchard Care Homes, United Kingdom have established an enhanced person focused program, namely the Reconnect program, which provides an enriched psycho-social care to enhance peoples' quality of life and well-being. Here we aimed to review the impact of this program on people living with dementia.

Methods

In this study the implementation of the Reconnect program was evaluated for two six-month periods (April-September 2020 and April-September 2021). The focus of this evaluation was on three key interventions: increasing meaningful occupation and engagement; improving pain identification and management, and reducing constipation. The Reconnect program was conducted in a single for-profit care home. It involved residents with complex dementia needs who previously not responded to support in alternative settings or found previous care ineffective in relieving their distress and reducing risks they pose to themselves or others.

Results

A total of 24 people participated in the program during this evaluation. We observed a substantial increase in engagement in meaningful activity per person, including an increase of outdoor access to fresh air. Pain management improved as evidenced by more standardized pain assessments using the PainChek system and coverage of people with either regular and/or "when required" pain management. Constipation relief also improved. For the two comparison periods, distress responses per resident reduced from 14.5 to 10.6 events and use of regular pain relief increased from 21.7 to 48.1%. Use of "when required" benzodiazepine halved from 6 months average of 46 to 23.2 doses given. Benzodiazepine dose reductions increased from 13.3 to 31.8%, while cessations increased from 20 to 50%. We also observed a reduction from 76.3 to 56.3% in antipsychotic use. Their dose reductions increased from 8.3 to 40% and drug cessation was made in 30% of people using antipsychotics (compared to the first period in which no medication cessation was observed). A 91.7% reduction (i.e., from 36 to 3 events) in safeguarding events related to behaviors was also observed.

Conclusion

Introduction of the Reconnect program, through its interventions focused on meaningful activity engagement, pain management and constipation relief resulted in substantial improvements related to people's distress, safeguarding and psychotropic use.

Implementing PainChek and PARO to Support Pain Assessment and Management in Residents with Dementia: A Qualitative Study

BACKGROUND

Pain is a common problem but often undiagnosed and untreated in people with dementia.

AIMS

This study explored the experiences of residents with dementia, family, andformal carers with (1) pain assessment and management for residents with dementia; (2) the use of the PainChek app for pain assessment, and (3) the use of a social robot PARO for pain management in residents with dementia.

DESIGN

A qualitative study.

SETTINGS/PARTICIPANTS

Interviews were conducted with 13 residents withdementia, three family members, and 18 formal carers from a residential aged carefacility.

METHOD

Residents with dementia interacted with PARO for 15 mins, five days perweek for three weeks. The PainChek app assessed pain levels before and after eachsession. After three-week intervention, individual interviews were conducted withresidents, family, and formal carers who experienced or observed the use of PainChekapp and PARO for residents. Interviews were audio-recorded, transcribed, andanalyzed using thematic analysis.

RESULTS

Four themes were identified regarding pain in residents with dementia: (1) the impact, challenges and strategies of pain assessment and management; (2) benefits and barriers of using PainChek app to assess pain; (3) benefits of interacting with PARO to manage pain and behavioral symptoms; and (4) implementing PainChek app and PARO to support pain assessment and management in dementia care.

CONCLUSIONS

Technology, such as PainChek and PARO, is promising to improve painassessment and reduce pain for people with dementia. Barriers to using technologyinclude limited staff training and the implementation of person-centered care.

Comparing clinico-demographics and neuropsychiatric symptoms for immigrant and non-immigrant aged care residents living with dementia: a retrospective cross-sectional study from an Australian dementia-specific support service

BACKGROUND

Neuropsychiatric symptoms of dementia such as agitation and aggression are common in people living with dementia. The presentation of neuropsychiatric symptoms is influenced by the cultural background of people living with dementia. Further, identifying factors contributing to neuropsychiatric symptoms may be complicated if people living with dementia are immigrants or from non-English-speaking backgrounds. Most of what is known about differences in neuropsychiatric symptoms between racial and ethnic groups living with dementia come from community-based samples. This study investigated differences in clinico-demographics and neuropsychiatric symptoms between immigrants and non-immigrants living with dementia in residential aged care homes who were referred to two Dementia Support Australia programs.

METHODS

This was a retrospective observational cross-sectional study from 2018 to 2022 using data extracted from the Dementia Support Australia database. Immigrant status was identified by documented country of birth. We conducted exploratory subgroup analyses for English-speaking or non-English-speaking immigrants in comparison to non-immigrants. Neuropsychiatric Inventory and PainChek® were used to assess neuropsychiatric symptoms of dementia and pain, respectively.

RESULTS

Of the 23,889 referrals, 36% were immigrants living with dementia. Immigrants were 0.8 years older than non-immigrants on average. Immigrants had a slightly higher prevalence of mixed dementia (9.5%) than non-immigrants (8.2%). Overall, the groups had no difference in the severity of neuropsychiatric symptoms and associated caregiver distress. However, there was a significant difference in the total number of neuropsychiatric inventory domains (Cohen's d = -0.06 [-0.09, - 0.02], p <.001) between non-English-speaking immigrants and non-immigrants. Immigrants were more likely to present with agitation/aggression, while non-immigrants were more likely to present with hallucinations. Factors contributing to neuropsychiatric symptoms were common between the groups, with language barriers and cultural considerations frequently endorsed for immigrants.

CONCLUSION

This study reveals a mixed picture of neuropsychiatric symptoms between immigrants and non-immigrants. However, due to the exploratory nature of the hypotheses, our findings need to be replicated in future studies to confirm any conclusions. There is a need for increased awareness on the impact of culture and language on neuropsychiatric symptoms for people receiving residential care. Future studies investigating neuropsychiatric symptoms in different immigrant groups will help increase our understanding of neuropsychiatric symptoms for all people.

Technology-guided assessment of vocalisations and their diagnostic value as pain indicators for people living with dementia

BACKGROUND

during pain assessment in persons unable to self-report, such as people living with dementia, vocalisations are commonly used as pain indicators. However, there is a lack of evidence from clinical practice regarding their diagnostic value and relationship with pain. We aimed to explore vocalisations and pain in people with dementia undergoing pain assessments in clinical practice settings.

METHODS

a total of 22,194 pain assessments were reviewed in people with dementia (n = 3,144) from 34 different Australian aged care homes and two dementia specific programs. Pain assessments were conducted by 389 purposely trained health care professionals and cares using PainChek pain assessment tool. Vocalised expressions were determined based on nine vocalisation features included in the tool. Linear mixed models were used to examine the relationship of pain scores with vocalisation features. Using a single pain assessment for each of the 3,144 people with dementia, additional data analysis was conducted via Receiver Operator Characteristic (ROC) analysis and Principal Component Analysis.

RESULTS

vocalisation scores increased with increasing pain intensity. High pain scores were more likely with the presence of sighing and screaming (8 times). The presence of vocalisation features varied depending on the intensity of pain. The ROC optimal criterion for the voice domain yielded a cut-off score of ≥2.0 with a Youden index of 0.637. The corresponding sensitivity and specificity were 79.7% [confidence interval (CI): 76.8-82.4%] and 84.0% (CI: 82.5-85.5%), respectively.

CONCLUSION

we describe vocalisation features during presence of different levels of pain in people with dementia unable to self-report, therefore providing evidence in regard to their diagnostic value in clinical practice.

Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A review

Artificial intelligence (AI) has received great attention since the concept was proposed, and it has developed rapidly in recent years with applications in many fields. Meanwhile, newer iterations of smartphone hardware technologies which have excellent data processing capabilities have leveraged on AI capabilities. Based on the desirability for portable detection, researchers have been investigating intelligent analysis by combining smartphones with AI algorithms. Various examples of the application of AI algorithm-based smartphone detection and analysis have been developed. In this review, we give an overview of this field, with a particular focus on bioanalytical detection applications. The applications are presented in terms of hardware design, software algorithms, and specific application areas. We also discuss the existing limitations of AI-based smartphone detection and analytical approaches, and their future prospects. The take-home message of our review is that the application of AI in the field of detection analysis is restricted by the limitations of the smartphone's hardware as well as the model building of AI for detection targets with insufficient data. Nevertheless, at this juncture, while bioanalytical diagnostics and health monitoring have set the pace for AI-based smartphone applicability, the future should see the technology making greater inroads into other fields. In relation to the latter, it is likely that the ordinary or average person will play a greater participatory role.

Frailty and pain in an acute private hospital: an observational point prevalence study

Frailty and pain in hospitalised patients are associated with adverse clinical outcomes. However, there is limited data on the associations between frailty and pain in this group of patients. Understanding the prevalence, distribution and interaction of frailty and pain in hospitals will help to determine the magnitude of this association and assist health care professionals to target interventions and develop resources to improve patient outcomes. This study reports the point prevalence concurrence of frailty and pain in adult patients in an acute hospital. A point prevalence, observational study of frailty and pain was conducted. All adult inpatients (excluding high dependency units) at an acute, private, 860-bed metropolitan hospital were eligible to participate. Frailty was assessed using the self-report modified Reported Edmonton Frail Scale. Current pain and worst pain in the last 24 h were self-reported using the standard 0-10 numeric rating scale. Pain scores were categorised by severity (none, mild, moderate, severe). Demographic and clinical information including admitting services (medical, mental health, rehabilitation, surgical) were collected. The STROBE checklist was followed. Data were collected from 251 participants (54.9% of eligible). The prevalence of frailty was 26.7%, prevalence of current pain was 68.1% and prevalence of pain in the last 24 h was 81.3%. After adjusting for age, sex, admitting service and pain severity, admitting services medical (AOR: 13.5 95% CI 5.7-32.8), mental health (AOR: 6.3, 95% CI 1. 9-20.9) and rehabilitation (AOR: 8.1, 95% CI 2.4-37.1) and moderate pain (AOR: 3.9, 95% CI 1. 6-9.8) were associated with increased frailty. The number of older patients identified in this study who were frail has implications for managing this group in a hospital setting. This indicates a need to focus on developing strategies including frailty assessment on admission, and the development of interventions to meet the care needs of these patients. The findings also highlight the need for increased pain assessment, particularly in those who are frail, for more effective pain management.Trial registration: The study was prospectively registered (ACTRN12620000904976; 14th September 2020).

Assessing pain using facial recognition software among Aboriginal aged care residents with cognitive impairment: A retrospective cohort study

OBJECTIVE

To assess the observed pain behaviours of Aboriginal residents with cognitive impairment in aged care facilities and compare these results with a matched national sample of non-Aboriginal residents.

METHODS

Observed pain behaviours of Aboriginal residents (N = 87) with cognitive impairment in aged care facilities across the Northern Territory of Australia were assessed using PainChek® Adult and compared with data from a matched national sample of non-Aboriginal residents (N = 420). Pain scores were derived from inbuilt automated facial recognition and analysis software plus a series of digital checklists requiring manual input by care staff.

RESULTS

The median total pain score for the Aboriginal residents was 2 (IQR 1-4) and for the matched external residents was 3 (IQR 2-5). In a multivariable negative binomial regression model, this difference in total pain score was statistically significant (p < 0.001). The pain score derived from the automated facial recognition and analysis component of the PainChek® Adult app was not statistically different between the two groups when adjusted for multiple observations and context of observation (odds ratio = 1.06, 95% confidence interval 0.97-1.16, p = 0.169).

CONCLUSIONS

We found under-reporting of observed pain signs and behaviours for Aboriginal aged care residents by assessors. Further training in the assessment of pain in Aboriginal and Torres Strait Islander aged care residents may be necessary and a continuing shift in clinical practice to using technology and point-of-care assessment.

Design and Evaluation of a Technological Platform for Monitoring Patients with Dementia: Unifying Requirements from Mexican Day Centers

The monitoring of patients with dementia who receive comprehensive care in day centers allows formal caregivers to make better decisions and provide better care to patients. For instance, cognitive and physical therapies can be tailored based on the current stage of disease progression. In the context of day centers of the Mexican Federation of Alzheimer, this work aims to design and evaluate Alzaid, a technological platform for assisting formal caregivers in monitoring patients with dementia. Alzaid was devised using a participatory design methodology that consisted in eliciting and validating requirements from 22 and 9 participants, respectively, which were unified to guide the construction of a high-fidelity prototype evaluated by 14 participants. The participants were formal caregivers, medical staff, and management. This work contributes a high-fidelity prototype of a technological platform for assisting formal caregivers in monitoring patients with dementia considering restrictions and requirements of four Mexican day centers. In general, the participants perceived the prototype as quite likely to be useful, usable, and relevant in the job of monitoring patients with dementia (p-value < 0.05). By evaluating and designing Alzaid that unifies requirements for monitoring patients of four day centers, this work is the first effort towards a standard monitoring process of patients with dementia in the context of the Mexican Federation of Alzheimer.

Using artificial intelligence to improve pain assessment and pain management: a scoping review

CONTEXT

Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and treating pain using artificial intelligence (AI) approaches may improve patient outcomes and healthcare resource utilization. A comprehensive synthesis of the current use and outcomes of AI-based interventions focused on pain assessment and management will guide the development of future research.

OBJECTIVES

This review aims to investigate the state of the research on AI-based interventions designed to improve pain assessment and management for adult patients. We also ascertain the actual outcomes of Al-based interventions for adult patients.

METHODS

The electronic databases searched include Web of Science, CINAHL, PsycINFO, Cochrane CENTRAL, Scopus, IEEE Xplore, and ACM Digital Library. The search initially identified 6946 studies. After screening, 30 studies met the inclusion criteria. The Critical Appraisals Skills Programme was used to assess study quality.

RESULTS

This review provides evidence that machine learning, data mining, and natural language processing were used to improve efficient pain recognition and pain assessment, analyze self-reported pain data, predict pain, and help clinicians and patients to manage chronic pain more effectively.

CONCLUSIONS

Findings from this review suggest that using AI-based interventions has a positive effect on pain recognition, pain prediction, and pain self-management; however, most reports are only pilot studies. More pilot studies with physiological pain measures are required before these approaches are ready for large clinical trial.

Digital Intervention For The Management Of Alzheimer's Disease

Alzheimer's disease (AD) is a progressive, multifactorial, chronic, neurodegenerative disease with high prevalence and limited therapeutic options, making it a global health crisis. Being the most common cause of dementia, AD erodes the cognitive, functional, and social abilities of the individual and causes escalating medical and psychosocial needs. As yet, this disorder has no cure and current treatment options are palliative in nature. There is an urgent need for novel therapy to address this pressing challenge. Digital therapeutics (Dtx) is one such novel therapy that is gaining popularity globally. Dtx provides evidence based therapeutic interventions driven by internet and software, employing tools such as mobile devices, computers, videogames, apps, sensors, virtual reality aiding in the prevention, management, and treatment of ailments like neurological abnormalities and chronic diseases. Dtx acts as a supportive tool for the optimization of patient care, individualized treatment and improved health outcomes. Dtx uses visual, sound and other non-invasive approaches for instance-consistent therapy, reminiscence therapy, computerised cognitive training, semantic and phonological assistance devices, wearables and computer-assisted rehabilitation environment to find applications in Alzheimer's disease for improving memory, cognition, functional abilities and managing motor symptom. A few of the Dtx-based tools employed in AD include "Memory Matters", "AlzSense", "Alzheimer Assistant", "smart robotic dog", "Immersive virtual reality (iVR)" and the most current gamma stimulation. The purpose of this review is to summarize the current trends in digital health in AD and explore the benefits, challenges, and impediments of using Dtx as an adjunctive therapy for the management of AD.

Clinico-demographics of people with younger-onset dementia and neuropsychiatric symptoms referred to an Australian dementia support service: A comparison study with older-onset dementia

OBJECTIVE

Younger-onset dementia accounts for about 5-10% of all dementias in Australia. Little data is available on neuropsychiatric symptoms in people with younger-onset dementia compared to those with older-onset dementia. This study aims to compare the types of neuropsychiatric symptoms and their clinico-demographic characteristics of people with younger-onset dementia and older-onset dementia who are referred to a specific dementia support service.

METHODS

A 2-year retrospective observational cross-sectional analysis was undertaken on referrals with neuropsychiatric symptoms from Dementia Support Australia programmes. Neuropsychiatric symptoms were measured using the Neuropsychiatric Inventory total severity scores and distress scores. Contributing factors to neuropsychiatric symptoms for dementia groups were examined. Logistic regression was used to examine the relationship between individual neuropsychiatric symptoms and having older-onset dementia vs younger-onset dementia.

RESULTS

Of the 15,952 referrals, about 5% (n = 729, mean age: 60.7 years, standard deviation = 5.4) were individuals with younger-onset dementia. Referrals with older-onset dementia were more likely to be female (56%), whereas referrals with younger-onset dementia were more likely to be male (54%). There was a four times greater rate of frontotemporal dementia for those with younger-onset dementia (16.0%, n = 117) compared to those with older-onset dementia (2.8%, n = 427), χ² (1) = 366.2, p < 0.001. Referrals with younger-onset dementia were more likely to be referred from community settings and those with older-onset dementia were more likely to be from residential aged care. Overall, there was no difference in the severity and distress of neuropsychiatric symptoms between the two groups. Contributing factors to neuropsychiatric symptoms were different between the groups, with pain being more frequently endorsed for individuals with older-onset dementia whereas communication difficulties were more commonly identified for those with younger-onset dementia.

CONCLUSION

Clinico-demographics of referrals with younger-onset dementia differ from those with older-onset dementia. There were some differences in the characteristics of neuropsychiatric symptoms between younger-onset dementia and older-onset dementia. Our findings have implications for service provision and support for people with dementia at different ages.

New assistive technologies in dementia and mild cognitive impairment care: A PubMed review

INTRODUCTION

Dementia is characterized by global cognitive dysfunction, which can cause difficulties in performing Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs), leaving people with dementia (PwD) who do not have the proper support extremely vulnerable. Dementia management should involve preventative methods, including during the stage of mild cognitive impairment (MCI). Lay-caregivers are found to have poorer health in all three domains of the biopsychosocial model, as a result of the burden of care. New assistive technologies (ATs) have been designed to help care for PwD. ATs aim to be more affordable and widely available than human workers, achieving greater health equity and quality of life for all.

METHODS

To identify relevant articles, a literature search using PubMed was undertaken by one independent reviewer: S.L.C. The keywords of "dementia", "technology", and "management" were used, with no date of publication limitations, which revealed 571 results.

RESULTS

44 articles were included in this review. Articles regarding new technologies to diagnose dementia or MCI were not included. ATs aim to help facilitate aging-in-place, reduce medical costs, and rates of caregiver burnout, by helping maintain patient functioning.

DISCUSSION

Legal issues in the form of workplace safety laws, data privacy laws and regulations, and health care ethics are major barriers to implementation that need to be resolved. The hope is that artificial intelligence (AI) systems may be able to advance what they are able to perceive and help uncover new knowledge and management options for dementia and MCI.

Effectiveness of nurse-led volunteer support and technology-driven pain assessment in improving the outcomes of hospitalised older adults: protocol for a cluster randomised controlled trial

INTRODUCTION

Hospitalised older adults are prone to functional deterioration, which is more evident in frail older patients and can be further exacerbated by pain. Two interventions that have the potential to prevent progression of frailty and improve patient outcomes in hospitalised older adults but have yet to be subject to clinical trials are nurse-led volunteer support and technology-driven assessment of pain.

METHODS AND ANALYSIS

This single-centre, prospective, non-blinded, cluster randomised controlled trial will compare the efficacy of nurse-led volunteer support, technology-driven pain assessment and the combination of the two interventions to usual care for hospitalised older adults. Prior to commencing recruitment, the intervention and control conditions will be randomised across four wards. Recruitment will continue for 12 months. Data will be collected on admission, at discharge and at 30 days post discharge, with additional data collected during hospitalisation comprising records of pain assessment and volunteer support activity. The primary outcome of this study will be the change in frailty between both admission and discharge, and admission and 30 days, and secondary outcomes include length of stay, adverse events, discharge destination, quality of life, depression, cognitive function, functional independence, pain scores, pain management intervention (type and frequency) and unplanned 30-day readmissions. Stakeholder evaluation and an economic analysis of the interventions will also be conducted.

ETHICS AND DISSEMINATION

Ethical approval has been granted by Human Research Ethics Committees at Ramsay Health Care WA|SA (number: 2057) and Edith Cowan University (number: 2021-02210-SAUNDERS). The findings will be disseminated through conference presentations, peer-reviewed publications and social media.

TRIAL REGISTRATION NUMBER

ACTRN12620001173987.

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.

Computer mediated automatic detection of pain-related behavior: prospect, progress, perils

Pain is often characterized as a fundamentally subjective phenomenon; however, all pain assessment reduces the experience to observables, with strengths and limitations. Most evidence about pain derives from observations of pain-related behavior. There has been considerable progress in articulating the properties of behavioral indices of pain; especially, but not exclusively those based on facial expression. An abundant literature shows that a limited subset of facial actions, with homologs in several non-human species, encode pain intensity across the lifespan. Unfortunately, acquiring such measures remains prohibitively impractical in many settings because it requires trained human observers and is laborious. The advent of the field of affective computing, which applies computer vision and machine learning (CVML) techniques to the recognition of behavior, raised the prospect that advanced technology might overcome some of the constraints limiting behavioral pain assessment in clinical and research settings. Studies have shown that it is indeed possible, through CVML, to develop systems that track facial expressions of pain. There has since been an explosion of research testing models for automated pain assessment. More recently, researchers have explored the feasibility of multimodal measurement of pain-related behaviors. Commercial products that purport to enable automatic, real-time measurement of pain expression have also appeared. Though progress has been made, this field remains in its infancy and there is risk of overpromising on what can be delivered. Insufficient adherence to conventional principles for developing valid measures and drawing appropriate generalizations to identifiable populations could lead to scientifically dubious and clinically risky claims. There is a particular need for the development of databases containing samples from various settings in which pain may or may not occur, meticulously annotated according to standards that would permit sharing, subject to international privacy standards. Researchers and users need to be sensitive to the limitations of the technology (for e.g., the potential reification of biases that are irrelevant to the assessment of pain) and its potentially problematic social implications.

Feasibility study protocol of the PainChek app to assess the efficacy of a social robot intervention for people with dementia

AIM

This study aims to test the feasibility of the PainChek app to assess pain for people with dementia living in residential aged care facilities (RACFs). It will also identify the optimal dosage and efficacy of a social robot (personal assistant robot [PARO]) intervention on chronic pain for people with dementia.

DESIGN

This is a feasibility randomized controlled trial with three groups.

METHODS

Forty-five residents living with dementia and chronic pain will be recruited from one RACF. The intervention consists of an individual 15-min non-facilitated session with a PARO robot twice a day (Group 1), a PARO robot once a day (Group 2), or a Plush-Toy (non-robotic PARO) once a day (Group 3) from Monday to Friday for 4 weeks. Participants will be followed at 4 and 8 weeks after baseline assessments. The primary outcome will be the feasibility of using the PainChek app to measure changes in pain levels before and after each session. Secondary outcomes include staff-rated pain levels, neuropsychiatric symptoms, quality of life and changes in psychotropic and analgesic medication use. Participants, staff and family perceptions of using PARO and the PainChek app will be collected after the 4-week intervention.

DISCUSSION

This study will test the use of the PainChek app and PARO to improve pain management for people with dementia. Results from this study will help determine its usefulness, feasibility and acceptability for pain management in people with dementia living in RACFs.

IMPACT

As pain is a significant problem for people with dementia, this project will generate evidence on the use of the PainChek to measure the efficacy of a social robot intervention that has the potential to improve the quality of pain care in people with dementia.

TRIAL REGISTRATION

Australian and New Zealand Clinical Trials Registry number (ACTRN12621000837820) date registered 30/06/2021.

Measuring What Matters for Children: A Systematic Review of Frequently Used Pediatric Generic PRO Instruments

OBJECTIVE

To provide an assessment of the quality of the most frequently used self-reported, generic patient-reported outcome measures (PROMs) that measure health-related quality of life (HRQoL) in children against the good research practices recommended by ISPOR task force for the pediatric population.

METHOD

Literature search was conducted on OvidSP database to identify the generic pediatric PROMs used in published clinical studies. The quality of PROMs used in more than ten clinical studies were descriptively evaluated against the ISPOR task force's good research practices.

RESULTS

Six PROMs were evaluated, namely Pediatric Quality-of-Life inventory 4.0 (PedsQL), Child Health Questionnaire (CHQ), KIDSCREEN, KINDL, DISABKIDS and Child Health and Illness Profile (CHIP). All PROMs, except KIDSCREEN, had versions for different age ranges. Domains of physical, social, emotional health and school activities were common across all the instruments, while domains of family activities, parent relations, independence, and self-esteem were not present in all. Children's input was sought during the development process of PROMs. Likert scales were used in all the instruments, supplemented with faces (smileys) in instruments for children under 8 years. KIDSCREEN and DISABKIDS were developed in a European collaboration project considering the cross-cultural impact during development.

CONCLUSION

The comparison of the instruments highlights differences in the versions for different pediatric age groups. None of the PROMs fulfill all the good research practices recommended by the ISPOR task force. Further research is needed to define which age-appropriate domains are important for older children and adolescents.

Human Factors and Requirements of People with Cognitive Impairment, Their Caregivers, and Healthcare Professionals for mHealth Apps Including Reminders, Games, and Geolocation Tracking: A Survey-Questionnaire Study

Background:

Mobile Health (mHealth) apps can delay the cognitive decline of people with dementia (PwD), by providing both objective assessment and cognitive enhancement.

Objective:

This patient involvement survey aims to explore human factors, needs and requirements of PwD, their caregivers, and Healthcare Professionals (HCPs) with respect to supportive and interactive mHealth apps, such as brain games, medication reminders, and geolocation trackers through a constructive questionnaire.

Methods:

Following the principles of user-centered design to involve end-users in design we constructed a questionnaire, containing both open-ended and closed-ended questions as well as multiple choice and Likert scale, in order to investigate the specific requirements and preferences for mHealth apps. We recruited 48 participants including people with cognitive impairment (n = 15), caregivers (n = 16), and HCPs (n = 17) and administered the questionnaire.

Results:

All participants are likely to use mHealth apps, with the primary desired features being the improvement of memory and cognition, assistance on medication treatment, and perceived ease to use. HCPs, caregivers, and PwD consider brain games as an important technology-based, non-pharmaceutical intervention. Both caregivers and patients are willing to use a medication reminder app frequently. Finally, caregivers are worried about the patient wandering. Therefore, global positioning system tracking would be particularly important to them. On the other hand, patients are concerned about their privacy, but are still willing to use a geolocation app for cases of emergency.

Conclusion:

This research contributes to mHealth app design and potential adoption. All three groups agree that mHealth services could facilitate care and ameliorate behavioral and cognitive disturbances of patients.

Pain in Dementia: Prevalence and Association With Neuropsychiatric Behaviors

CONTEXT

Pain is linked to behaviors and psychological symptoms of dementia (BPSD); however, it often remains underrecognized in this population.

OBJECTIVES

We aimed to investigate the prevalence and intensity of pain in people living in aged care homes with BPSD and by dementia subtypes and the association between pain intensity and BPSD.

METHODS

A 1-year retrospective cross-sectional analysis was conducted on BPSD and the presence of pain in referrals to a national BPSD support service using the Neuropsychiatric Inventory and PainChek®, respectively. Referrals were categorized into two groups: pain group and no pain group.

RESULTS

Of the 479 referrals (81.9 ± 8.3 years old) included in the analysis, two-thirds (65.6%) had pain identified, with almost half (48.4%) of these categorized as experiencing moderate-severe pain. Pain was highly prevalent (range: 54.6-78.6%) in all subtypes of dementia, particularly in mixed dementia and dementia with Lewy bodies. Compared with the no pain group, the pain group had 25.3% more neuropsychiatric behaviors, 33.6% higher total severity of these behaviors, and 31.4% higher total distress caused to caregivers. For all results, effect sizes were small to medium (η²p = 0.04-0.06). Despite a high prevalence of aggressive or agitated behaviors across the entire group, the pain group was 3.8 times more likely to experience these behaviors than referrals not in pain.

CONCLUSION

There is a strong need to consider the possibility of pain as a contributor to behavioral changes in aged care residents living with dementia.

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.

Prevalence of frailty and pain in hospitalised adult patients in an acute hospital: a protocol for a point prevalence observational study

INTRODUCTION

Frailty and pain are associated with adverse patient clinical outcomes and healthcare system costs. Frailty and pain can interact, such that symptoms of frailty can make pain assessment difficult and pain can exacerbate the progression of frailty. The prevalence of frailty and pain and their concurrence in hospital settings are not well understood, and patients with cognitive impairment are often excluded from pain prevalence studies due to difficulties assessing their pain. The aim of this study is to determine the prevalence of frailty and pain in adult inpatients, including those with cognitive impairment, in an acute care private metropolitan hospital in Western Australia.

METHODS AND ANALYSIS

A prospective, observational, single-day point prevalence, cross-sectional study of frailty and pain intensity of all inpatients (excluding day surgery and critical care units) will be undertaken. Frailty will be assessed using the modified Reported Edmonton Frail Scale. Current pain intensity will be assessed using the PainChek smart-device application enabling pain assessment in people unable to report pain due to cognitive impairment. Participants will also provide a numerical rating of the intensity of current pain and the worst pain experienced in the previous 24 hours. Demographic and clinical information will be collected from patient files. The overall response rate of the survey will be reported, as well as the percentage prevalence of frailty and of pain in the sample (separately for PainChek scores and numerical ratings). Additional statistical modelling will be conducted comparing frailty scores with pain scores, adjusting for covariates including age, gender, ward type and reason for admission.

ETHICS AND DISSEMINATION

Ethical approval has been granted by Ramsay Health Care Human Research Ethics Committee WA/SA (reference: 2038) and Edith Cowan University Human Research Ethics Committee (reference: 2020-02008-SAUNDERS). Findings will be widely disseminated through conference presentations, peer-reviewed publications and social media.

TRIAL REGISTRATION NUMBER

ACTRN12620000904976.

Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis

BACKGROUND

Poorly managed pain can lead to substance use disorders, depression, suicide, worsening health, and increased use of health services. Most pain assessments occur in clinical settings away from patients' natural environments. Advances in smart home technology may allow observation of pain in the home setting. Smart homes recognizing human behaviors may be useful for quantifying functional pain interference, thereby creating new ways of assessing pain and supporting people living with pain.

OBJECTIVE

This study aimed to determine if a smart home can detect pain-related behaviors to perform automated assessment and support intervention for persons with chronic pain.

METHODS

A multiple methods, secondary data analysis was conducted using historic ambient sensor data and weekly nursing assessment data from 11 independent older adults reporting pain across 1-2 years of smart home monitoring. A qualitative approach was used to interpret sensor-based data of 27 unique pain events to support clinician-guided training of a machine learning model. A periodogram was used to calculate circadian rhythm strength, and a random forest containing 100 trees was employed to train a machine learning model to recognize pain-related behaviors. The model extracted 550 behavioral markers for each sensor-based data segment. These were treated as both a binary classification problem (event, control) and a regression problem.

RESULTS

We found 13 clinically relevant behaviors, revealing 6 pain-related behavioral qualitative themes. Quantitative results were classified using a clinician-guided random forest technique that yielded a classification accuracy of 0.70, sensitivity of 0.72, specificity of 0.69, area under the receiver operating characteristic curve of 0.756, and area under the precision-recall curve of 0.777 in comparison to using standard anomaly detection techniques without clinician guidance (0.16 accuracy achieved; P<.001). The regression formulation achieved moderate correlation, with r=0.42.

CONCLUSIONS

Findings of this secondary data analysis reveal that a pain-assessing smart home may recognize pain-related behaviors. Utilizing clinicians' real-world knowledge when developing pain-assessing machine learning models improves the model's performance. A larger study focusing on pain-related behaviors is warranted to improve and test model performance.

Internet of things in medicine: A systematic mapping study

CONTEXT

The current studies on IoT in healthcare have reviewed the uses of this technology in a combination of healthcare domains, including nursing, rehabilitation sciences, ambient assisted living (AAL), medicine, etc. However, no review study has scrutinized IoT advances exclusively in medicine irrespective of other healthcare domains.

OBJECTIVES

The purpose of the current study was to identify and map the current IoT developments in medicine through providing graphical/tabular classifications on the current experimental and practical IoT information in medicine, the involved medical sub-fields, the locations of IoT use in medicine, and the bibliometric information about IoT research articles.

METHODS

In this systematic mapping study, the studies published between 2000 and 2018 in major online scientific databases, including IEEE Xplore, Web of Science, Scopus, and PubMed were screened. A total of 3679 papers were found from which 89 papers were finally selected based on specific inclusion/exclusion criteria.

RESULTS

While the majority of medical IoT studies were experimental and prototyping in nature, they generally reported that home was the most popular place for medical IoT applications. It was also found that neurology, cardiology, and psychiatry/psychology were the medical sub-fields receiving the most IoT attention. Bibliometric analysis showed that IEEE Internet of Things Journal has published the most influential IoT articles. India, China and the United States were found to be the most involved countries in medical IoT research.

CONCLUSIONS

Although IoT has not yet been employed in some medical sub-fields, recent substantial surge in the number of medical IoT studies will most likely lead to the engagement of more medical sub-fields in the years to come. IoT literature also shows that the ambiguity of assigning a variety of terms to IoT, namely system, platform, device, tool, etc., and the interchangeable uses of these terms require a taxonomy study to investigate the precise definition of these terms. Other areas of research have also been mentioned at the end of this article.

Attention Allocation to Financial Information: The Role of Color and Impulsivity Personality Trait

BACKGROUND

In order to raise the level of investor's protection, the European Commission has recently introduced the key investor information document (KIID), a standard, plainly worded, and consumer-friendly document which should provide individuals with essential information for their investment decisions. KIID layout has been delineated relying on results from focus groups, surveys and telephone interviews, ignoring the reliable, and unbiased insights offered by neuroscientific approaches.

AIM

The current study aims to elucidate the patterns of eye movements in the early phases of information acquisition during the reading of financial disclosure documents, disentangling the independent role of color and impulsivity at modulating attention distribution toward the different sources of financial information.

MATERIALS AND METHODS

Oculomotor behavior was monitored in eighty-one healthy adults through the eye tracking technology (SMI REDn Scientific 60 Hz). An ecological protocol exploiting KIIDs was developed to control for several individual variables, through delivering standard visual stimuli based on official financial documents. Participants performed a passive exploration task (with the only specific instruction of visually exploring the document), followed by an active task where they were asked to rate the financial attractiveness of the products, as low, medium or high. The Barratt impulsiveness scale (BIS-11) was administered to each participant, to score such personality trait.

RESULTS

Attention distribution over the different information sources, included in the KIIDs, has been quantified and found to be independently modulated by both color and impulsivity, with a greater role of the former over the latter. The addition of either red or blue information to some KIID's sections increases attention allocation toward the whole document, compared to the usual black and white version. BIS-11 total scores were inversely related to the first and average fixation duration in the neutral, though not in the colored condition.

DISCUSSION

Bottom-up, stimulus-related mechanisms of attention allocation influence information acquisition during the reading of financial prospectuses to the point that the increased attention induced by color compensates for individual impulsivity. Such evidence should be considered by regulators when devising the disclosure documents in order to increase investors' protection.

Mobile-Health Applications for the Efficient Delivery of Health Care Facility to People with Dementia (PwD) and Support to Their Carers: A Survey

Dementia directly influences the quality of life of a person suffering from this chronic illness. The caregivers or carers of dementia people provide critical support to them but are subject to negative health outcomes because of burden and stress. The intervention of mobile health (mHealth) has become a fast-growing assistive technology (AT) in therapeutic treatment of individuals with chronic illness. The purpose of this comprehensive study is to identify, appraise, and synthesize the existing evidence on the use of mHealth applications (apps) as a healthcare resource for people with dementia and their caregivers. A review of both peer-reviewed and full-text literature was undertaken across five (05) electronic databases for checking the articles published during the last five years (between 2014 and 2018). Out of 6195 searches yielded articles, 17 were quantified according to inclusion and exclusion criteria. The included studies distinguish between five categories, viz., (1) cognitive training and daily living, (2) screening, (3) health and safety monitoring, (4) leisure and socialization, and (5) navigation. Furthermore, two most popular commercial app stores, i.e., Google Play Store and Apple App Store, were searched for finding mHealth based dementia apps for PwD and their caregivers. Initial search generated 356 apps with thirty-five (35) meeting the defined inclusion and exclusion criteria. After shortlisting of mobile applications, it is observed that these existing apps generally addressed different dementia specific aspects overlying with the identified categories in research articles. The comprehensive study concluded that mobile health apps appear as feasible AT intervention for PwD and their carers irrespective of limited available research, but these apps have potential to provide different resources and strategies to help this community.

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.