Perspectives and experiences of Māori and Pasifika peoples living with cardiac inherited disease: a qualitative study

OBJECTIVE

Cardiac inherited diseases can have considerable psychosocial effects, including lifestyle limitations, anxiety and depression. Most research to date on patient experiences of CID has been conducted with people from Western cultures, yet culture can shape patient views and experiences of health. The aim of this research was to explore the experiences and perspectives of Māori and Pasifika living with a cardiac inherited disease (CID).

METHODS AND MEASURES

Semi-structured interviews were conducted with 14 Māori and 14 Pasifika patients living with a cardiac inherited disease and seven of their family members, using Talanoa and Kaupapa Māori methodologies. Themes from the interviews were identified using interpretative phenomenological analysis.

RESULTS

Three common themes were identified as important in shaping participants' perceptions and experiences of CID: (1) difficulty in understanding the disease as separate from symptoms, (2) considering ancestors and future generations and (3) the role of spirituality and religion.

CONCLUSION

This study highlights a gap between indigenous patients' understanding of CID and the western biomedical approach. Patients' understanding and treatment behaviours depend on symptoms, familial ties and spirituality. The findings support the need for transparency and culturally appropriate practices in healthcare. Considering these aspects may help to reduce health inequities for these populations.

ElliQ, an AI-Driven Social Robot to Alleviate Loneliness: Progress and Lessons Learned

Background

Loneliness is a significant issue in older adults and can increase the risk of morbidity and mortality.

Objective

To present the development of ElliQ, a proactive, AI-driven social robot with multiple social and health coaching functions specifically designed to address loneliness and support older people.

Development/Implementation

ElliQ, a consumer robot with a friendly appearance, uses voice, sounds, light, and buttons through a touch screen to facilitate conversation, music, video calls, well-being assessments, stress reduction, cognitive games, and health reminders. The robot was deployed by 15 government agencies in the USA. Initial experience suggests it is not only highly engaging for older people but may be able to improve their quality of life and reduce loneliness. In addition, the development of a weekly report that patients can share with their clinicians to allow better integration into routine care is described.

Conclusion

This paper describes the development and real-world implementation of this product innovation and discusses challenges encountered and future directions.

Changes in hair cortisol in a New Zealand community sample during the Covid-19 pandemic

Background

Evidence suggests that countries with higher Covid-19 infection rates experienced poorer mental health. This study examined whether hair cortisol reduced over time in New Zealand, a country that managed to eliminate the virus in the first year of the pandemic due to an initial strict lockdown.

Methods

A longitudinal cohort study assessed self-reported stress, anxiety and depression and collected hair samples that were analyzed for cortisol, across two waves in 2020. The sample consisted of 44 adults who each returned two 3 cm hair samples and completed self-reports. Hair cortisol was assessed per centimetre.

Results

Hair cortisol reduced over time (F (5, 99.126) = 10.15, p < .001, partial eta squared = 0.19), as did anxiety and depression. Higher hair cortisol was significantly associated with more negative life events reported at wave two (r = 0.30 segment 1, r = 0.34 segment 2, p < .05), but not anxiety or depression.

Conclusions

Strict virus control measures may not only reduce infection rates, but also reduce psychological distress, and hair cortisol over time.

Development of a Virtual Human for Supporting Tobacco Cessation During the COVID-19 Pandemic

People who consume tobacco are at greater risk of developing severe COVID-19. Unfortunately, the COVID-19 pandemic reduced the accessibility of tobacco cessation services as a result of necessary social restrictions. Innovations were urgently needed to support tobacco cessation during the pandemic. Virtual humans are artificially intelligent computer agents with a realistic, humanlike appearance. Virtual humans could be a scalable and engaging way to deliver tobacco cessation information and support. Florence, a virtual human health worker, was developed in collaboration with the World Health Organization to remotely support people toward tobacco cessation during the COVID-19 pandemic. Florence delivers evidence-based information, assists with making quit plans, and directs people to World Health Organization-recommended cessation services in their country. In this viewpoint, we describe the process of developing Florence. The development was influenced by a formative evaluation of data from 115 early users of Florence from 49 countries. In general, Florence was positively perceived; however, changes were requested to aspects of her design and content. In addition, areas for new content were identified (eg, for nonsmoker support persons). Virtual health workers could expand the reach of evidence-based tobacco cessation information and personalized support. However, as they are a new innovation in tobacco cessation, their efficacy, feasibility, and acceptability in this application needs to be evaluated, including in diverse populations.

The Impact of Virtual Humans on Psychosomatic Medicine

OBJECTIVE

Virtual humans are likely to enhance the delivery of health care over the next decade. Virtual humans are artificially intelligent computer agents with hyperrealistic, autonomously animated embodiments based on affective computing techniques. Virtual humans could be programmed to screen for health conditions, triage patients, and deliver health interventions, with appropriate facial expressions and body gestures, functioning as a supplement to human care. This article provides a perspective on the implications of virtual humans for behavioral and psychosomatic medicine, and health psychology.

METHODS

A narrative review was conducted to integrate observations and findings from research on virtual humans from 91 articles in this multidisciplinary area.

RESULTS

Virtual humans can be used for multimodal behavior analysis of patients, individualized tailoring of interventions, and detection of changes of psychological and behavioral measures over time. Virtual humans can also pair the scalability of a website with the interactivity and relational skills of a human tele-therapist. Research is beginning to show the acceptability, feasibility, and preliminary effectiveness of virtual humans in a range of populations. Virtual humans can be easily tailored in terms of their appearance, voice, and language, and may be adapted to fit the characteristics of a patient population or hard-to-reach groups. If co-designed with these communities, virtual humans may help to promote health care engagement and improve outcomes.

CONCLUSIONS

Virtual humans can engage and motivate patients, and deliver personalized psychological and behavioral health care. This article provides an overview of the potential impact of virtual humans on psychosomatic medicine and discusses ethical implications.

It's a helluva journey: a qualitative study of patient and clinician experiences of nausea and vomiting syndromes

Background

Chronic gastroduodenal disorders including, chronic nausea and vomiting syndrome, gastroparesis, and functional dyspepsia, are challenging to diagnose and manage. The diagnostic and treatment pathways for these disorders are complex, costly and overlap substantially; however, experiences of this pathway have not been thoroughly investigated. This study therefore aimed to explore clinician and patient perspectives on the current clinical pathway.

Methods

Semi-structured interviews were conducted between June 2020 and June 2022 with 11 patients with chronic nausea and vomiting syndrome alone (based on Rome IV criteria) and nine gastroenterologists who treat these conditions. Interviews were recorded, transcribed, and thematically analyzed using a reflexive, iterative, inductive approach. Five key patient themes were identified: (1) the impacts of their chronic gastroduodenal symptoms, (2) the complexity of the clinical journey, (3) their interactions with healthcare providers, (4) the need for advocacy, and (5) their experience of treatments. Five key clinician themes were also identified: (1) these conditions were seen as clinically complex, (2) there is an uncertain and variable clinical pathway, (3) the nuance of investigations, (4) these conditions were difficult to therapeutically manage, and (5) there are barriers to developing a therapeutic relationship.

Conclusion

Findings indicate that both patients and clinicians are dissatisfied with the current clinical care pathways for nausea and vomiting syndromes. Recommendations included the development of more clinically relevant and discriminant tests, standardization of the diagnostic journey, and the adoption of a multidisciplinary approach to diagnosis and treatment.

Enhancing social connectedness with companion robots using AI

Companion robots with AI may usher a new science of social connectedness that requires the development of ethical frameworks.

Comparing the Feasibility and Acceptability of a Virtual Human, Teletherapy, and an e-Manual in Delivering a Stress Management Intervention to Distressed Adult Women: Pilot Study

BACKGROUND

Virtual humans (VHs), teletherapy, and self-guided e-manuals may increase the accessibility of psychological interventions. However, there is limited research on how these technologies compare in terms of their feasibility and acceptability in delivering stress management interventions.

OBJECTIVE

We conducted a preliminary comparison of the feasibility and acceptability of a VH, teletherapy, and an e-manual at delivering 1 module of cognitive behavioral stress management (CBSM) to evaluate the feasibility of the trial methodology in preparation for a future randomized controlled trial (RCT).

METHODS

A pilot RCT was conducted with a parallel, mixed design. A community sample of distressed adult women were randomly allocated to receive 1 session of CBSM involving training in cognitive and behavioral techniques by a VH, teletherapy, or an e-manual plus homework over 2 weeks. Data were collected on the feasibility of the intervention technologies (technical support and homework access), trial methods (recruitment methods, questionnaire completion, and methodological difficulty observations), intervention acceptability (intervention completion, self-report ratings, therapist rapport, and trust), and acceptability of the trial methods (self-report ratings and observations). Qualitative data in the form of written responses to open-ended questions were collected to enrich and clarify the findings on intervention acceptability.

RESULTS

Overall, 38 participants' data were analyzed. A VH (n=12), teletherapy (n=12), and an e-manual (n=14) were found to be feasible and acceptable for delivering 1 session of CBSM to distressed adult women based on the overall quantitative and qualitative findings. Technical difficulties were minimal and did not affect intervention completion, and no significant differences were found between the conditions (P=.31). The methodology was feasible, although improvements were identified for a future trial. All conditions achieved good satisfaction and perceived engagement ratings, and no significant group differences were found (P>.40). Participants had similar willingness to recommend each technology (P=.64). There was a nonsignificant trend toward participants feeling more open to using the VH and e-manual from home than teletherapy (P=.10). Rapport (P<.001) and trust (P=.048) were greater with the human teletherapist than with the VH. The qualitative findings enriched the quantitative results by revealing the unique strengths and limitations of each technology that may have influenced acceptability.

CONCLUSIONS

A VH, teletherapy, and a self-guided e-manual were found to be feasible and acceptable methods of delivering 1 session of a stress management intervention to a community sample of adult women. The technologies were found to have unique strengths and limitations that may affect which works best for whom and in what circumstances. Future research should test additional CBSM modules for delivery by these technologies and conduct a larger RCT to compare their feasibility, acceptability, and effectiveness when delivering a longer home-based stress management program.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12620000859987; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380114&isReview=true.

Increases in stress hormone levels in a UK population during the COVID-19 pandemic: A prospective cohort study

BACKGROUND

Research suggests that psychological factors may influence vulnerability to SARS-CoV-2 infection, although the mechanisms are unclear.

PURPOSE

We examined whether the hypothalamic-pituitary-adrenal axis may be a possible mechanism, by measuring the relationship between indices of psychological distress and cortisone in hair (hairE) in a UK cohort during the COVID-19 pandemic.

METHODS

Participants (N = 827) provided two 3 cm hair samples over a 6-month period between April-September 2020. Samples reflected hairE in the 3 months prior to the collection date.

RESULTS

HairE in the first samples (T1: commenced April 2020) did not differ significantly from pre-pandemic population norms. However, hairE in the second samples (T2: commenced July 2020) were significantly higher than T1 and pre-pandemic population norms, with a 23% increase between T1 and T2. Linear regressions, controlling for age and gender, demonstrated that at both timepoints, hairE levels were greatest in people with a history of mental health difficulties. In addition, stress reported at T1 predicted greater hairE at T2 and a greater change in hairE between T1 and T2.

CONCLUSIONS

These findings demonstrate that during the COVID-19 pandemic hairE was substantially elevated across a large community cohort, with greatest levels in those with a history of mental health difficulties and greatest changes in those reporting greatest levels of stress early in the pandemic. Further research is required with verified SARS-CoV-2 outcomes to determine whether the HPA axis is among the mechanisms by which a history of mental health difficulties and stress influence SARS-CoV-2 outcomes.

The effect of expressive writing on wound healing: Immunohistochemistry analysis of skin tissue two weeks after punch biopsy wounding

OBJECTIVE

To investigate the effects of expressive writing and its timing (pre or post wounding) on re-epithelialisation and leucocyte subsets within healing tissue. We previously showed expressive writing pre-wounding improved re-epithelialisation. Here we investigate cellular processes in the wound.

METHODS

In a 2(writing content) x 2(writing timing) randomized trial, 122 participants were randomized to perform either expressive or control writing, before or after a 4 mm punch biopsy wound. On day 14 post-wounding, participants had a 5 mm punch biopsy of the initial wound. Seven of 16 primary registered outcomes were analysed, including re-epithelialisation from two photographs of the 4 mm biopsy (previously reported). This paper reports immunohistochemistry analysis of five primary outcomes - Langerhans cells, immune cell activation (HLA and CD3+), and macrophages (CD68 and MPO) - in the 5 mm biopsies in a random sample of 96 participants.

RESULTS

Participants who performed either writing task pre-wounding had greater Langerhans cell infiltration, than those who wrote post-wounding (F_(1,85) = 7.86, p = .006, η_p² = 0.08). Those who performed expressive writing also had greater Langerhans cell infiltration than those who performed control writing (F_(1,85) = 4.00, p = .049, η_p² = 0.04). There were no significant group or interaction effects on immune cell activation or macrophages. Healed wounds on day 10 had lower levels of macrophages (z = -1.96, p = .050), and CD3+ cells (z = -1.99, p = .046) than non-healed wounds.

CONCLUSION

Langerhans cells in the healing skin are affected by the timing and topic of writing. More research is needed to further explore timing and corroborate these results.

CLINICAL TRIALS REGISTRATION

Registered at https://www.anzctr.org.au/ (Trial ID: ACTRN12614000971639).

Illness perceptions and diabetes self-care behaviours in Māori and New Zealand Europeans with type 2 diabetes mellitus: a cross-sectional study

AIMS

This study investigated differences in illness perceptions and self-care behaviours between Māori and New Zealand (NZ) Europeans with type 2 diabetes mellitus (T2DM), and how these perceptions were related to clinical outcomes.

METHODS

Participants were 85 Māori and 85 NZ European adults, recruited from outpatient clinics, who completed a cross-sectional questionnaire on illness perceptions and self-care behaviours. Clinical data, including HbA1c, retinopathy, neuropathy and nephropathy, were collected from medical records.

RESULTS

Compared to NZ Europeans, Māori had higher HbA1c, lower adherence to medication and a healthy diet, and were more likely to smoke. Māori reported greater perceived consequences of diabetes on their lives, and more severe symptoms than NZ Europeans did. Māori were more likely to attribute T2DM to food and drink, whereas NZ Europeans were more likely to attribute T2DM to weight. Perceiving that treatment could help control diabetes was associated with lower HbA1c and higher medication adherence in Māori and NZ Europeans independently.

CONCLUSIONS

Māori experienced and perceived worse T2DM outcomes than NZ Europeans did. Research is needed to develop and test clinical interventions to address these inequities and improve outcomes, possibly by asking patients about their perceptions, providing tailored and culturally appropriate education, and discussing patients' concerns.

Standardized system and App for continuous patient symptom logging in gastroduodenal disorders: Design, implementation, and validation

BACKGROUND

Functional gastroduodenal disorders include functional dyspepsia, chronic nausea and vomiting syndromes, and gastroparesis. These disorders are common, but their overlapping symptomatology poses challenges to diagnosis, research, and therapy. This study aimed to introduce and validate a standardized patient symptom-logging system and App to aid in the accurate reporting of gastroduodenal symptoms for clinical and research applications.

METHODS

The system was implemented in an iOS App including pictographic symptom illustrations, and two validation studies were conducted. To assess convergent and concurrent validity, a diverse cohort with chronic gastroduodenal symptoms undertook App-based symptom logging for 4 h after a test meal. Individual and total post-prandial symptom scores were averaged and correlated against two previously validated instruments: PAGI-SYM (for convergent validity) and PAGI-QOL (for concurrent validity). To assess face and content validity, semi-structured qualitative interviews were conducted with patients.

KEY RESULTS

App-based symptom reporting demonstrated robust convergent validity with PAGI-SYM measures of nausea (r_S  =0.68), early satiation (r_S  =0.55), bloating (r_S  =0.48), heartburn (r_S  =0.47), upper gut pain (r_S  =0.40), and excessive fullness (r_S  =0.40); all p < 0.001 (n = 79). The total App-reported Gastric Symptom Burden Score correlated positively with PAGI-SYM (r_S  =0.56; convergent validity; p < 0.001), and negatively with PAGI-QOL (r_S  = -0.34; concurrent validity; p = 0.002). Interviews demonstrated that the pictograms had adequate face and content validity.

CONCLUSIONS AND INFERENCES

The continuous patient symptom-logging App demonstrated robust convergent, concurrent, face, and content validity when used within a 4-h post-prandial test protocol. The App will enable standardized symptom reporting and is anticipated to provide utility in both research and clinical practice.

The Effects of Healthcare Robot Empathy Statements and Head Nodding on Trust and Satisfaction: A Video Study

Clinical empathy has been associated with many positive outcomes, including patient trust and satisfaction. Physicians can demonstrate clinical empathy through verbal statements and non-verbal behaviors, such as head nodding. The use of verbal and non-verbal empathy behaviors by healthcare robots may also positively affect patient outcomes. The current study examined whether the use of robot verbal empathy statements and head nodding during a video recorded interaction between a healthcare robot and patient improved participant trust and satisfaction. One hundred participants took part in the experiment, online through Amazon Mechanical Turk. They were randomized to watch an interaction with a Nao robot that (1) either made empathetic or neutral statements and (2) nodded its head when listening to the patient or not. Results showed that the use of empathetic statements by the healthcare robot significantly increased participant perceptions of robot empathy, trust and satisfaction and reduced robot distrust. No significant findings were revealed in relation to robot head nodding. The positive effects of empathy statements support the model of Robot-Patient Communication, which theorizes that robot use of recommended clinical empathy behaviors can improve patient outcomes. The effects of healthcare robot nodding behavior need to be further investigated.

Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition

Emotions are multimodal processes that play a crucial role in our everyday lives. Recognizing emotions is becoming more critical in a wide range of application domains such as healthcare, education, human-computer interaction, Virtual Reality, intelligent agents, entertainment, and more. Facial macro-expressions or intense facial expressions are the most common modalities in recognizing emotional states. However, since facial expressions can be voluntarily controlled, they may not accurately represent emotional states. Earlier studies have shown that facial micro-expressions are more reliable than facial macro-expressions for revealing emotions. They are subtle, involuntary movements responding to external stimuli that cannot be controlled. This paper proposes using facial micro-expressions combined with brain and physiological signals to more reliably detect underlying emotions. We describe our models for measuring arousal and valence levels from a combination of facial micro-expressions, Electroencephalography (EEG) signals, galvanic skin responses (GSR), and Photoplethysmography (PPG) signals. We then evaluate our model using the DEAP dataset and our own dataset based on a subject-independent approach. Lastly, we discuss our results, the limitations of our work, and how these limitations could be overcome. We also discuss future directions for using facial micro-expressions and physiological signals in emotion recognition.

The Effects of Interacting With a Paro Robot After a Stressor in Patients With Psoriasis: A Randomised Pilot Study

Objective

Stress can play a role in the onset and exacerbation of psoriasis. Psychological interventions to reduce stress have been shown to improve psychological and psoriasis-related outcomes. This pilot randomised study investigated the feasibility of a brief interaction with a Paro robot to reduce stress and improve skin parameters, after a stressor, in patients with psoriasis.

Methods

Around 25 patients with psoriasis participated in a laboratory stress task, before being randomised to either interact with a Paro robot or sit quietly (control condition) for 30 min. Raman spectroscopy and trans-epidermal water loss were measured at baseline, after the stressor and after the intervention as indexes of acute skin changes. Psychological variables, including self-reported stress and affect, were also measured at the three time-points.

Results

No statistically significant differences between the two conditions were found for any of the outcomes measured. However, effect sizes suggest significance could be possible with a larger sample size. Changes in the psychological and Raman spectroscopy outcomes across the experimental session were found, indicating the feasibility of the procedures.

Conclusion

This pilot study showed that a brief interaction with a Paro robot was a feasible intervention for patients with psoriasis, but future trials should broaden the inclusion criteria to try to increase recruitment rates. Studying people who are highly stressed, depressed or who are stress-responders may increase the power of the intervention to show effects using a longer-term intervention.

Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project

Participatory design includes stakeholders in the development of products intended to solve real-life challenges. Involving end users in the design of robots is vital for developing effective, useful, acceptable and user-friendly products that meet expectations, needs and preferences. This four-year international project developed and evaluate a home-based robot for mood stabilization and cognitive improvement in older adults with mild cognitive impairment and age-related health needs. The dailycare robot was developed in collaboration with experts, carers, relatives and older adults, through six phases. Two phases were dedicated to cognitive stimulation games. This paper provides a summary of the participatory design and mixed-methods evaluation processes undertaken to develop, refine and test the robot. The final robot and games were acceptable to older adults, and useful for delivering stimulating activities and providing reminders for medication, health and wellbeing checks. Personalization is required to optimize human-robot interaction, and imagery and speech should be consistent with local users. Functions should be personalizable to accommodate individual health needs and preferences. This project highlights the importance of participatory design and testing robotics in end-user environments, as technical issues associated with long-term use were uncovered. Recommendations for future development and the design of assistive health robots are made.

Psychological Predictors of Self-reported COVID-19 Outcomes: Results From a Prospective Cohort Study

BACKGROUND

Previous research has shown that psychological factors, such as stress and social support, are associated with greater susceptibility to viral respiratory illnesses and more severe symptoms. During the COVID-19 pandemic there has been a well-documented deterioration in psychological well-being and increased social isolation. This raises questions as to whether those experiencing psychological adversity during the pandemic are more at risk of contracting and/or experiencing COVID-19 symptoms.

PURPOSE

To examine the relationship between psychological factors and the risk of COVID-19 self-reported infection and the symptomatic experience of SARS-CoV-2 (indicated by the number and severity of symptoms).

METHODS

As part of a longitudinal prospective observational cohort study, 1,087 adults completed validated measures of psychological well-being during April 2020 and self-reported incidence of COVID-19 infection and symptom experience across the pandemic through to December 2020. Regression models were used to explore these relationships controlling for demographic and occupational factors.

RESULTS

Greater psychological distress during the early phase of the pandemic was significantly associated with subsequent self-reported SARS-CoV-2 infection as well as the experience of a greater number and more severe symptoms.

CONCLUSIONS

COVID-19 infection and symptoms may be more common among those experiencing elevated psychological distress. Further research to elucidate the mechanisms underlying these associations is needed.

Characteristics associated with the willingness to receive a COVID-19 vaccine and an exploration of the general public's perceptions: A mixed-methods approach

Demographics and media discourse impact vaccine hesitancy. We explored the New Zealand public's perceptions of COVID-19 vaccines and associated media portrayal, and determined predictive factors associated with willingness to receive vaccines. A community cohort (N = 340) completed online surveys. A logistic regression explored whether characteristics predict willingness to receive the vaccine. Textual data were analysed thematically. Willingness to receive the vaccine was high (90%). Having a postgraduate degree (p =.026), trying to receive an influenza vaccine (p <.001) and fewer concerns (p <.001) predicted willingness. Health keyworkers (p <.001) were less willing. Participants wanted the vaccine for protection and returning to normality. Reasons against receiving vaccines regarded safety, efficacy, and an unclear roll-out plan. The media was reported to generally provide good/positive coverage, but also engage in unbalanced reporting and spreading misinformation. Education strategies should include collaborations between media and scientists and focus on distributing easy-to-access information. Health keyworkers should be reassured of testing/safety.

Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies

Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-term care (LTC) services for older people. However, the research field is developmental and has yet to be systematically synthesised. This systematic review aimed to synthesise the literature on the acceptability and effectiveness of AI-enhanced interventions for older people receiving LTC services. We conducted a systematic search that identified 2720 records from Embase, Ovid, Global Health, PsycINFO, and Web of Science. 31 articles were included in the review that evaluated AI-enhanced social robots (n=22), environmental sensors (n=6), and wearable sensors (n=5) with older people receiving LTC services across 15 controlled and 14 non-controlled trials in high-income countries. Risk of bias was evaluated using the RoB 2, RoB 2 CRT, and ROBINS-I tools. Overall, AI-enhanced interventions were found to be somewhat acceptable to users with mixed evidence for their effectiveness across different health outcomes. The included studies were found to have high risk of bias which reduced confidence in the results. AI-enhanced interventions are promising innovations that could reshape the landscape of LTC globally. However, more trials are required to support their widespread implementation. Pathways are needed to support more high-quality trials, including in low-income and middle-income countries.

The prevalence, incidence, prognosis and risk factors for symptoms of depression and anxiety in a UK cohort during the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic has had profound consequences for population mental health. However, it is less clear for whom these effects are sustained.

AIMS

To investigate the prevalence, incidence, prognosis and risk factors for symptoms of depression and anxiety in a UK cohort over three distinct periods in the pandemic in 2020.

METHOD

An online survey was completed by a UK community cohort at three points (n = 3097 at baseline, n = 878 completed all surveys): April (baseline), July to September (time point 2) and November to December (time point 3). Participants completed validated measures of depression and anxiety on each occasion, and we prospectively explored the role of sociodemographic and psychological factors (loneliness, positive mood and perceived risk of and worry about COVID-19) as risk factors.

RESULTS

Depression (Patient Health Questionnaire-9 means: baseline, 7.69; time point 2, 5.53; time point 3, 6.06) and anxiety scores (Generalised Anxiety Disorder-7 means: baseline, 6.59; time point 2, 4.60; time point 3, 4.98) were considerably greater than pre-pandemic population norms at all time points. Women reported greater depression and anxiety symptoms than men. Younger age, history of mental health disorder, more COVID-19-related negative life events, greater loneliness and lower positive mood at baseline were all significant predictors of poorer mental health at time point 3.

CONCLUSIONS

The negative impact of the COVID-19 pandemic on mental health has persisted to some degree. Younger people and individuals with prior mental health disorders are at greatest risk. Easing of restrictions and resumption of social interaction could mitigate the risk factors of loneliness and positive mood.

Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot

Purpose: This research aimed to evaluate medication software for a healthcare robot. Study I compared two software versions (RoboGen and RoboGen2) for system usability, speed and accuracy of medication entry; Study II evaluated system usability and community pharmacists’ views of RoboGen2.

Methods: Study I had a within-subjects experimental design and recruited 40 Health Sciences students to enter different, comparable sets of prescriptions into the two systems, in randomized order, within a limit of 15 min. Screen activity was recorded to observe prescription errors. Study II had a cross-sectional observational design and recruited 20 community pharmacists using convenience sampling. Pharmacists entered three prescriptions using RoboGen2. Participants in both studies completed the System Usability Scale (SUS) following each task. Study I participants completed a questionnaire on system preference, and Study II participants a semi-structured interview.

Results: Study I participants preferred Robogen2 (p < 0.001) due to its sleek and modern layout, good flow, ease of use, and intuitive design. SUS scores [t (40) = −3.40, p = 0.002] and speed of medication entry favored Robogen2 (t = 3.65, p < 0.001). No significance was found in accuracy (t = 1.12, p = 0.27). In study 2, pharmacists rated the usability of RoboGen2 below average. Themes from interviews were navigation and streamlining the system, ease of use, and integration with pharmacy software systems.

Conclusion: Adding safety features and better aesthetics can improve the usability and safety of a medication prescription system. Streamlining workflow and pre-populating data can increase speed of prescription entry without compromising patient safety. However, a better approach is integration with pre-existing pharmacy systems to reduce workload while incorporating safety features built into existing dispensing systems.

Robot-Delivered Cognitive Stimulation Games for Older Adults

Cognitive stimulation games delivered on robots may be able to improve cognitive functioning and delay decline in older adults. However, little is known about older adults’ in-depth opinions of robot-delivered games, as current research primarily focuses on technical development and one-off use. This article explores the usability, acceptability, and perceptions of community-dwelling older adults towards cognitive games delivered on a robot that incorporated movable interactive blocks. Semi-structured interviews were conducted with participants at the end of a 12-week cognitive stimulation games intervention delivered entirely on robots. Participants were 10 older adults purposively sampled from two retirement villages. A framework analysis approach was used to code data to predefined themes related to technology acceptance (perceived benefits, satisfaction, and preference), and usability (effectiveness, efficiency, and satisfaction). Results indicated that cognitive games delivered on a robot may be a valuable addition to existing cognitive stimulation activities. The robot was considered easy to use and useful in improving cognitive functioning. Future developments should incorporate interactive gaming tools, the use of social anthropomorphic robots, contrasting colour schemes to accommodate macular degeneration, and cultural-specific imagery and language. This will help cater to the preferences and age-related health needs of older adults, to ultimately enhance usability and acceptability.

Effects of Emotional Expressiveness of a Female Digital Human on Loneliness, Stress, Perceived Support, and Closeness Across Genders: Randomized Controlled Trial

Background

Loneliness is a growing public health problem that has been exacerbated in vulnerable groups during the COVID-19 pandemic. Social support interventions have been shown to reduce loneliness, including when delivered through technology. Digital humans are a new type of computer agent that show promise as supportive peers in health care. For digital humans to be effective and engaging support persons, it is important that they develop closeness with people. Closeness can be increased by emotional expressiveness, particularly in female relationships. However, it is unknown whether emotional expressiveness improves relationships with digital humans and affects physiological responses.

Objective

The aim of this study is to investigate whether emotional expression by a digital human can affect psychological and physiological outcomes and whether the effects are moderated by the user’s gender.

Methods

A community sample of 198 adults (101 women, 95 men, and 2 gender-diverse individuals) was block-randomized by gender to complete a 15-minute self-disclosure conversation with a female digital human in 1 of 6 conditions. In these conditions, the digital human varied in modality richness and emotional expression on the face and in the voice (emotional, neutral, or no face; emotional or neutral voice). Perceived loneliness, closeness, social support, caring perceptions, and stress were measured after each interaction. Heart rate, skin temperature, and electrodermal activity were assessed during each interaction. 3-way factorial analyses of variance with post hoc tests were conducted.

Results

Emotional expression in the voice was associated with greater perceptions of caring and physiological arousal during the interaction, and unexpectedly, with lower feelings of support. User gender moderated the effect of emotional expressiveness on several outcomes. For women, an emotional voice was associated with increased closeness, social support, and caring perceptions, whereas for men, a neutral voice increased these outcomes. For women, interacting with a neutral face was associated with lower loneliness and subjective stress compared with no face. Interacting with no face (ie, a voice-only black screen) resulted in lower loneliness and subjective stress for men, compared with a neutral or emotional face. No significant results were found for heart rate or skin temperature. However, average electrodermal activity was significantly higher for men while interacting with an emotional voice.

Conclusions

Emotional expressiveness in a female digital human has different effects on loneliness, social, and physiological outcomes for men and women. The results inform the design of digital human support persons and have theoretical implications. Further research is needed to evaluate how more pronounced emotional facial expressions in a digital human might affect the results.

Trial Registration

Australia New Zealand Clinical Trials Registry (ANZCTR) ACTRN12621000865819; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=381816&isReview

Utility and acceptability of a brief type 2 diabetes visual animation: A mixed-methods feasibility study (Preprint)

Background

Visualizations of illness and treatment processes are promising interventions for changing unhelpful perceptions and improving health outcomes. However, these are yet to be tested in patients with type 2 diabetes mellitus (T2DM).

Objective

This study assesses the cross-cultural acceptability and potential effectiveness of a brief visual animation of T2DM at changing unhelpful illness and treatment perceptions and self-efficacy among patients and family members in 2 countries, New Zealand and Saudi Arabia. Health care professionals’ views on visualization are also explored.

Methods

A total of 52 participants (n=39, 75% patients and family members and n=13, 25% health care professionals) were shown a 7-minute T2DM visual animation. Patients and family members completed a questionnaire on illness and treatment perceptions and self-efficacy before and immediately after the intervention and completed semistructured interviews. Health care professionals completed written open-ended questions. Means and 95% CIs are reported to estimate potential effectiveness. Inductive thematic analysis was conducted on qualitative data.

Results

All participants rated the visual animation as acceptable and engaging. Four main themes were identified: animation-related factors, impact of the animation, animation as an effective format for delivering information, and management-related factors. Effect sizes (ranged from 0.10 to 0.56) suggested potential effectiveness for changing illness and treatment perceptions and self-efficacy among patients and family members.

Conclusions

Visualizations are acceptable and may improve the perceptions of patients’ with diabetes in a short time frame. This brief visual animation has the potential to improve current T2DM education. A subsequent randomized controlled trial to investigate the effects on illness and treatment perceptions, adherence, glycemic control, and unplanned hospital admission is being prepared.

A Digital Human for Delivering a Remote Loneliness and Stress Intervention to At-Risk Younger and Older Adults During the COVID-19 Pandemic: Randomized Pilot Trial

BACKGROUND

Loneliness is a growing public health issue that has been exacerbated in vulnerable groups during the COVID-19 pandemic. Computer agents are capable of delivering psychological therapies through the internet; however, there is limited research on their acceptability to date.

OBJECTIVE

The objectives of this study were to evaluate (1) the feasibility and acceptability of a remote loneliness and stress intervention with digital human delivery to at-risk adults and (2) the feasibility of the study methods in preparation for a randomized controlled trial.

METHODS

A parallel randomized pilot trial with a mixed design was conducted. Participants were adults aged 18 to 69 years with an underlying medical condition or aged 70 years or older with a Mini-Mental State Examination score of >24 (ie, at greater risk of developing severe COVID-19). Participants took part from their place of residence (independent living retirement village, 20; community dwelling, 7; nursing home, 3). Participants were randomly allocated to the intervention or waitlist control group that received the intervention 1 week later. The intervention involved completing cognitive behavioral and positive psychology exercises with a digital human facilitator on a website for at least 15 minutes per day over 1 week. The exercises targeted loneliness, stress, and psychological well-being. Feasibility was evaluated using dropout rates and behavioral observation data. Acceptability was evaluated from behavioral engagement data, the Friendship Questionnaire (adapted), self-report items, and qualitative questions. Psychological measures were administered to evaluate the feasibility of the trial methods and included the UCLA Loneliness Scale, the 4-item Perceived Stress Scale, a 1-item COVID-19 distress measure, the Flourishing Scale, and the Scale of Positive and Negative Experiences.

RESULTS

The study recruited 30 participants (15 per group). Participants were 22 older adults and 8 younger adults with a health condition. Six participants dropped out of the study. Thus, the data of 24 participants were analyzed (intervention group, 12; waitlist group, 12). The digital human intervention and trial methods were generally found to be feasible and acceptable in younger and older adults living independently, based on intervention completion, and behavioral, qualitative, and some self-report data. The intervention and trial methods were less feasible to nursing home residents who required caregiver assistance. Acceptability could be improved with additional content, tailoring to the population, and changes to the digital human's design.

CONCLUSIONS

Digital humans are a promising and novel technological solution for providing at-risk adults with access to remote psychological support during the COVID-19 pandemic. Research should further examine design techniques to improve their acceptability in this application and investigate intervention effectiveness in a randomized controlled trial.

TRIAL REGISTRATION

Australia New Zealand Clinical Trials Registry ACTRN12620000786998; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380113.

EP.FRI.997 Recognising frailty: the scale of the problem

Aim

To assess compliance with frailty scoring in acute surgical admissions.

Method

Data including age, admitting speciality, whether the frailty score was completed and the recorded score if completed, were collected for all admissions to an acute surgical unit over a 7 day period in November 2019.

Results

The average age of the 139 patients was 56.25 years (range 16-89). Frailty scoring was completed in 53 patients (38.1%); 8 patients (15%) met the criteria for frailty. Sixty-four patients (46%) were aged over 65 years, 26 (40.6%) had the score completed and 7 (27%) met the frailty criteria. Of 36 patients (26%) aged 75 or over, 16 (44.4%) were scored and 6 (37.5%) met the frailty criteria. Scoring was most frequently completed in patients admitted under the Vascular Surgery team (52.9% compliance) with a mean score 3.8.

Conclusion

Worsening frailty is associated with increased morbidity and mortality in acute surgical admissions. The 7-point Clinical Frailty Scale has been added our acute surgical admission document and should be completed for every patient. Our compliance with scoring is a long way from our recommended 100%, with compliance with assessing frailty across age groups similar, despite the increased rates of frailty seen in older age groups. Poor compliance with frailty assessment may hamper future progress with the management of the frail, older surgical patient. We are planning documentation changes, staff education sessions and to appoint frailty ‘champions’ with a repeat audit of compliance to assess the effects of these changes.

Longitudinal Associations Between Illness Perceptions and Glycemic Control in Type 2 Diabetes

Background

Cross-sectional research demonstrates associations between illness perceptions and glycemic control in people with type 2 diabetes (T2D). Prospective studies are limited and show mixed findings. This study aimed to investigate (1) whether baseline illness perceptions predicted glycemic control (HbA1c levels) at 6–12-month follow-up and (2) possible differences in baseline illness perceptions between individuals who completed at least one HbA1c blood test during the 12-month follow-up and those who did not.

Methods

A total of 115 individuals with T2D were recruited from an outpatient clinic. Demographic and clinical information and illness perceptions were assessed at baseline. HbA1c was assessed at baseline and 12 months later from clinical records. Hierarchical multiple linear regression examined associations between baseline illness perceptions and HbA1c levels at 6–12-month follow-up, controlling for age, sex, education, types of diabetes medication, and baseline HbA1c.

Results

Univariate analysis showed perceived weight management effectiveness at baseline was associated with lower HbA1c at follow-up (rho = −.25, p = .04, n = 67). Adjusted multiple regression showed that HbA1c at baseline was the only significant predictor of HbA1c at 6–12-month follow-up (β = 0.51, p < .001). There were no significant differences in baseline illness perceptions between individuals who completed HbA1c blood tests during follow-up (n = 78) and those who did not (n = 34), p > .05.

Conclusion

Illness perceptions at baseline did not predict longitudinal HbA1c in adjusted analyses, nor completion of HbA1c tests. Results may be due to temporal variability in HbA1c and barriers to accessing blood tests.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12529-021-10024-y.

The more the merrier! Barriers and facilitators to the general public's use of a COVID-19 contact tracing app in New Zealand

Contact tracing for infectious diseases can be partially automated using mobile applications. However, the success of these tools is dependent on significant uptake and frequent use by the public. This study explored the barriers and facilitators to the New Zealand (NZ) general public's use of the COVID-19 contact NZ COVID Tracer app. Adults (≥18 years, N = 373) in NZ. Qualitative and quantitative data were gathered from a nation-wide online survey. App use and frequency of use were presented as descriptive statistics. Qualitative data were analyzed thematically. 31% reported using the app frequently, 24% used it sometimes, 21% had installed but not used it, and 24% had not installed it. Barriers to use include technical issues, privacy and security concerns, forgetfulness and a lack of support from businesses. The perceived risk of contracting COVID-19, government recommendations and communications, and the importance of contact tracing facilitated use. Technical, user, business, and government factors influenced the public's use of a COVID-19 contact tracing app. The development of apps requiring minimal user effort and initial user testing may improve uptake. Enabling environments and better risk communication may improve uptake of similar community-driven contact tracing apps during future pandemics.

Evidence for the effects of viewing visual artworks on stress outcomes: a scoping review

OBJECTIVE

To review the existing evidence on the effects of viewing visual artworks on stress outcomes and outline any gaps in the research.

DESIGN

A scoping review was conducted based on the Joanna Briggs Institute methodology for scoping reviews and using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. Two independent reviewers performed the screening and data extraction.

DATA SOURCES

Medline, Embase, APA PsycINFO, Cochrane CENTRAL, Scopus, Google Scholar, Google, ProQuest Theses and Dissertations Database, APA PsycExtra and Opengrey.eu were searched in May 2020.

ELIGIBILITY CRITERIA

Studies were included if they investigated the effects of viewing at least one visual artwork on at least one stress outcome measure. Studies involving active engagement with art, review papers or qualitative studies were excluded. There were no limits in terms of year of publication, contexts or population types; however, only studies published in the English language were considered.

DATA EXTRACTION AND SYNTHESIS

Information extracted from manuscripts included: study methodologies, population and setting characteristics, details of the artwork interventions and key findings.

RESULTS

14 primary studies were identified, with heterogeneous study designs, methodologies and artwork interventions. Many studies lacked important methodological details and only four studies were randomised controlled trials. 13 of the 14 studies on self-reported stress reported reductions after viewing artworks, and all of the four studies that examined systolic blood pressure reported reductions. Fewer studies examined heart rate, heart rate variability, cortisol, respiration or other physiological outcomes.

CONCLUSIONS

There is promising evidence for effects of viewing artwork on reducing stress. Moderating factors may include setting, individual characteristics, artwork content and viewing instructions. More robust research, using more standardised methods and randomised controlled trial designs, is needed.

REGISTRATION DETAILS

A protocol for this review is registered with the Open Science Framework (osf.io/gq5d8).

Friends from the Future: A Scoping Review of Research into Robots and Computer Agents to Combat Loneliness in Older People

BACKGROUND AND AIM

Loneliness is a common problem in older adults and contributes to poor health. This scoping review aimed to synthesize and report evidence on the effectiveness of interventions using social robots or computer agents to reduce loneliness in older adults and to explore intervention strategies.

METHODS

The review adhered to the Arksey and O'Malley process for conducting scoping reviews. The SCOPUS, PUBMED, Web of Science, EMBASE, CINAHL, PsycINFO, ACM Digital Library and IEEE Xplore databases were searched in November, 2020. A two-step selection process identified eligible research. Information was extracted from papers and entered into an Excel coding sheet and summarised. Quality assessments were conducted using the Mixed Methods Appraisal Tool.

RESULTS

Twenty-nine studies were included, of which most were of moderate to high quality. Eighteen were observational and 11 were experimental. Twenty-four used robots, four used computer agents and one study used both. The majority of results showed that robots or computer agents positively impacted at least one loneliness outcome measure. Some unintended negative consequences on social outcomes were reported, such as sadness when the robot was removed. Overall, the interventions helped to combat loneliness by acting as a direct companion (69%), a catalyst for social interaction (41%), facilitating remote communication with others (10%) and reminding users of upcoming social engagements (3%).

CONCLUSION

Evidence to date suggests that robots can help combat loneliness in older adults, but there is insufficient research on computer agents. Common strategies for reducing loneliness include direct companionship and enabling social interactions. Future research could investigate other strategies used in human interventions (eg, addressing maladaptive social cognition and improving social skills), and the effects of design features on efficacy. It is recommended that more robust experimental and mixed methods research be conducted, using a combination of validated self-report, observational, and interview measures of loneliness.

Older adults' experiences and perceptions of living with Bomy, an assistive dailycare robot: a qualitative study

An aging global population and preference for aging-in-place pose the opportunity for home-based robots to assist older adults with their daily routines. However, there is limited research into the experiences of older adults using robots in their own homes. In this descriptive qualitative feasibility study, older self-supporting and community-dwelling adults with various age-related health needs used Bomy, a dailycare robot in their homes for up to one week. The study explored the usefulness of the robot and participants' perceptions and experiences of using it. Bomy reminded them of daily activities and delivered cognitive stimulation games. Semi-structured in-person interviews were conducted, and data were analyzed thematically. Findings revealed an acceptance toward robots and the value of assistive dailycare robots. Participants perceived Bomy as a companion and made suggestions for improvement, including resolving technical issues associated with long-term use. Future functions should be personalizable, to accommodate each user's health needs and could also include smoke detection and reading aloud functions. Dailycare robots show promising potential in elderly care, especially in providing reminders for medication, health and wellbeing. This study highlights the importance of co-design and testing robotics in the environments for which they have been developed. Widespread implementation of Bomy might be feasible in the future, with some further adjustments.

Depression, anxiety and stress during the COVID-19 pandemic: results from a New Zealand cohort study on mental well-being

OBJECTIVES

The COVID-19 pandemic has caused unprecedented disruption to daily life. This study investigated depression, anxiety and stress in New Zealand (NZ) during the first 10 weeks of the COVID-19 pandemic, and associated psychological and behavioural factors. It also compares the results with a similar cross-sectional study in the UK.

DESIGN

Cross-sectional study.

SETTING

NZ community cohort.

PARTICIPANTS

N=681 adults (≥18 years) in NZ. The cohort was predominantly female (89%) with a mean age of 42 years (range 18-87). Most (74%) identified as NZ European and almost half (46%) were keyworkers. Most were non-smokers (95%) and 20% identified themselves as having clinical risk factors which would put them at increased or greatest risk of COVID-19.

MAIN OUTCOME MEASURES

Depression, anxiety, stress, positive mood and engagement in health behaviours (smoking, exercise, alcohol consumption).

RESULTS

Depression and anxiety significantly exceeded population norms (p<0.0001). Being younger (p<0.0001) and most at risk of COVID-19 (p<0.05) were associated with greater depression, anxiety and stress. Greater positive mood, lower loneliness and greater exercise were protective factors for all outcomes (p<0.0001). Smoking (p=0.037) and alcohol consumption (p<0.05) were associated with increased anxiety. Pet ownership was associated with lower depression (p=0.006) and anxiety (p=0.008). When adjusting for age and gender differences, anxiety (p=0.002) and stress (p=0.007) were significantly lower in NZ than in the UK. The NZ sample reported lower perceived risk (p<0.0001) and worry about COVID-19 (p<0.0001) than the UK sample.

CONCLUSIONS

The NZ population had higher depression and anxiety compared with population norms. Younger people and those most at risk of COVID-19 reported poorer mental health. Interventions should promote frequent exercise, and reduce loneliness and unhealthy behaviours.

A systematic review of illness perception interventions in type 2 diabetes: Effects on glycaemic control and illness perceptions

AIMS

This systematic review sought to synthesize the evidence regarding the effectiveness of illness perception interventions compared with control conditions at changing illness perceptions and improving glycaemic control in individuals with type 2 diabetes.

METHODS

Seven electronic databases were searched between October 2018 and May 2020. Randomized controlled trials that tested interventions informed by the Common-Sense Model in adults with type 2 diabetes, and measured illness perceptions and glycaemic control at pre- and post-intervention were included. The Cochrane risk of bias tool was used to assess risk of bias.

RESULTS

A total of 4095 articles were identified, of which nine randomized control trials (2561 participants) across 12 publications were included in this review. Findings showed that all the illness perception domains were modified in at least one trial, with the exception of cyclical timeline perceptions. Coherence, personal control, treatment control and chronic timeline perceptions were the most frequently modified perceptions. Glycaemic control demonstrated an improvement in the intervention group compared to the control group at 3 and 6 months post-intervention in two trials. Risk of bias assessment showed high risk of bias especially for the blinding of participants and the personnel domain.

CONCLUSIONS

There is limited evidence that interventions informed by the Common-Sense Model can improve glycaemic control in individuals with type 2 diabetes through changing inaccurate illness perceptions. Recommendations for future research are to tailor intervention content based on baseline perceptions, measure the emotional and causal domains, and involve family members in the intervention. (PROSPERO registration: CRD42019114532).

Young people, mental health and COVID-19 infection: the canaries we put in the coal mine

Objectives

The number of people testing positive for Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) in the UK, particularly among young adults, is increasing. We report here on the mental health of young adults and related psychological and behavioural responses to the pandemic and consider the role of these factors in fuelling the increase in coronavirus disease 2019 (COVID-19) in this group.

Methods

An online survey was completed during the first six weeks of the first UK-wide lockdown by 3097 respondents, including data for 364 respondents aged 18–24 years. The survey included measures of mental health and indices capturing related psychological and behavioural responses to the pandemic.

Results

The mental health of 18- to 24-years-olds in the first 6 weeks of lockdown was significantly poorer than that of older respondents and previously published norms: with 84% reporting symptoms of depression and 72% reporting symptoms of anxiety. Young adults also reported significantly greater loneliness and reduced positive mood, both of which were also associated with greater mental health difficulties.

Conclusions

We contend that the combination of mental health, social and economic considerations may have contributed to the rise of COVID-19 infections in young adults, and ascribing blame to this group will not aid our efforts to regain control of the disease.

•

The UK has witnessed an exponential rise in coronavirus disease 2019 (COVID-19) infections, particularly among young adults. It has been assumed that this is occurring due to poorer engagement in risk reduction behaviours by young people.

•

We demonstrate that the mental health impact of the COVID-19 pandemic has been significantly greater in young adults and is strongly associated with increased loneliness and lower positive mood. We suggest that these factors, combined with the social and economic circumstances of young adults, have increased their risk of infection. We propose that containing the spread of COVID-19 among the young will require a recognition of these factors and is ill-served by a culture of blame.

The trajectory of anxiety and depression in people presenting to a cardiac inherited disease service: a longitudinal study

OBJECTIVE

Little is known about the psychological experiences of individuals being investigated for cardiac inherited diseases (CID). This study aimed to assess the prevalence, trajectory and associated variables of anxiety and depression in this population.

DESIGN

This was a longitudinal study with 116 individuals being investigated for a CID; 85 (73%) completed follow-up.

MAIN OUTCOME MEASURES

Questionnaires were administered at the first appointment, post-disclosure of genetic results, and six-months later. Questionnaires measured demographic and psychological variables. The NZCID Registry provided clinical and genetic information.

RESULTS

Thirty-seven (43%) individuals reported clinical and subclinical levels of anxiety and/or depression at least once. Anxiety and depression at follow up were associated with anxiety (p < .001) and depression (p < .001) at baseline. Elevated anxiety and depression scores at any point were also associated with more reporting of somatic symptoms (p < .001), poorer social support (p < .01) and greater intolerance for uncertainty (p < .001). There were five different trajectories of anxiety and depression: stable-low, stable-high, increasing, decreasing and fluctuating.

CONCLUSION

A significant minority of individuals being investigated for a CID experience anxiety and depression. Ongoing screening for anxiety, depression, social support and somatic symptoms could help identify those individuals.

Mental health in the UK during the COVID-19 pandemic: cross-sectional analyses from a community cohort study

OBJECTIVES

Previous pandemics have resulted in significant consequences for mental health. Here, we report the mental health sequelae of the COVID-19 pandemic in a UK cohort and examine modifiable and non-modifiable explanatory factors associated with mental health outcomes. We focus on the first wave of data collection, which examined short-term consequences for mental health, as reported during the first 4-6 weeks of social distancing measures being introduced.

DESIGN

Cross-sectional online survey.

SETTING

Community cohort study.

PARTICIPANTS

N=3097 adults aged ≥18 years were recruited through a mainstream and social media campaign between 3 April 2020 and 30 April 2020. The cohort was predominantly female (n=2618); mean age 44 years; 10% (n=296) from minority ethnic groups; 50% (n=1559) described themselves as key workers and 20% (n=649) identified as having clinical risk factors putting them at increased risk of COVID-19.

MAIN OUTCOME MEASURES

Depression, anxiety and stress scores.

RESULTS

Mean scores for depression ([Formula: see text] =7.69, SD=6.0), stress ([Formula: see text] =6.48, SD=3.3) and anxiety ([Formula: see text] = 6.48, SD=3.3) significantly exceeded population norms (all p<0.0001). Analysis of non-modifiable factors hypothesised to be associated with mental health outcomes indicated that being younger, female and in a recognised COVID-19 risk group were associated with increased stress, anxiety and depression, with the final multivariable models accounting for 7%-14% of variance. When adding modifiable factors, significant independent effects emerged for positive mood, perceived loneliness and worry about getting COVID-19 for all outcomes, with the final multivariable models accounting for 54%-57% of total variance.

CONCLUSIONS

Increased psychological morbidity was evident in this UK sample and found to be more common in younger people, women and in individuals who identified as being in recognised COVID-19 risk groups. Public health and mental health interventions able to ameliorate perceptions of risk of COVID-19, worry about COVID-19 loneliness and boost positive mood may be effective.

Reliability of alternative devices for postoperative patient temperature measurement: two prospective, observational studies

Peri-operative hypothermia is associated with significant morbidity, yet limitations exist regarding non-invasive temperature assessment in the post-anaesthesia care unit (PACU). In this prospective study of 100 patients, we aimed to determine the reliability of two commonly used temperature measurement devices, forehead temporal artery temperature and tympanic measurement, in addition to an indwelling urinary catheter with temperature probe, in comparison with the final nasopharyngeal core temperature at the end of surgery. Agreement of forehead measurement with nasopharyngeal temperature showed a mean bias (±95% limits of agreement) of 0.15 °C (±1.4 °C), with a steep slope of the relationship on the Bland-Altman plot of -0.8, indicating a tendency to normalise patient temperature readings to 36.4 °C. Only 54% of hypothermic cases were correctly detected by the forehead measurement device. Agreement of tympanic measurement with nasopharyngeal core temperature measurement was marginally improved with a mean bias of 0.13 °C (95% limits of agreement ±1.15 °C). In contrast, agreement of bladder temperature with nasopharyngeal temperature showed a mean (SD) bias of 0.19 (0.28) °C (95% limits of agreement ±0.54 °C), with a relatively flat line of best fit. We demonstrated that two commonly used temperature measurement devices, forehead temporal artery temperature and tympanic measurement, compared with nasopharyngeal core temperature, were imprecise and unreliable following major surgery. However, the indwelling catheter with temperature sensor was precise and acceptable for continuous core temperature measurement in the PACU.

The association of illness perceptions and God locus of health control with self-care behaviours in patients with type 2 diabetes in Saudi Arabia

Objective: To investigate the associations between illness perceptions, God locus of health control (GLHC) beliefs, and self-care behaviours in Saudi patients with type 2 diabetes (T2D). Design: A cross-sectional study was conducted with 115 adults with T2D in a Saudi Arabian diabetes clinic. Illness perceptions, GLHC beliefs, and self-care behaviours were assessed using the Arabic versions of the Brief Illness Perception Questionnaire, God Locus of Health Control, and Summary of Diabetes Self-Care Activities. Logistic and linear regressions were conducted. Results: Greater perceptions of personal control (OR = 2.07, p = .045) and diet effectiveness (OR =   2.73, p = .037) were associated with higher odds of adhering to general diet. Greater perceptions of diet effectiveness (β = 0.27, p = .034) and better understanding of T2D (β = 0.54, p < .001) were significant independent predictors of fruit and vegetables intake and exercise respectively. Patients with lower GLHC beliefs (OR =  4.40, p = .004) had higher odds of adhering to foot care than those with higher GLHC beliefs. Illness perceptions and GLHC beliefs did not predict adherence to a low-fat diet, self-monitoring of blood glucose, or not smoking. Conclusion: Greater perceptions of personal control, coherence, diet effectiveness, and lower GLHC beliefs were associated with higher adherence to self-care behaviours in Saudi patients with T2D. Interventions designed to promote self-care behaviours in Saudi patients with T2D could focus on addressing these perceptions.

The Effect of Multimodal Emotional Expression on Responses to a Digital Human during a Self-Disclosure Conversation: a Computational Analysis of User Language

Digital humans show promise for use in healthcare as virtual therapists to deliver psychotherapy or companions for social support. For digital humans to be effective and engaging in these roles, it is important they can build close relationships with people. Emotional expressiveness can improve social closeness in human relationships, especially for females. However, it is unknown whether multimodal emotional expression improves relationships with digital humans. Participants were 185 adults aged 18 years or older with English fluency. Participants were block-randomized by gender to complete the Relationship Closeness Induction Task with one of six versions of a digital human. The digital humans varied in modality richness (face, no face) and emotional expression (emotional voice, neutral voice; emotional face, neutral face). Participants' language was analysed for emotional content using Linguistic Inquiry and Word Count software. A series of three-way ANOVA and ANCOVA were conducted to evaluate the effect of digital human face type, voice type, and participant gender on emotional content in participant language. A digital human with no face was associated with more first-person singular pronoun use than a neutral face and an emotional face digital human. A digital human with no face and a neutral voice received more general negative emotion language than a digital human with no face and an emotional voice. Findings suggest the presence of a face and emotion in the voice may improve emotional responses to digital humans. Results provide evidence for aspects of the theoretical framework of embodied agent-patient communication.

The effects of environmental enrichment on skin barrier recovery in humans: a randomised trial

This study investigated whether environmental enrichment (EE) could reduce stress and improve wound healing in humans. 120 participants underwent a standardised tape-stripping procedure and were then randomised to interact for 30 minutes with one of three EE interventions (comfort blankets as tactile enrichment, music as auditory enrichment or a Paro robot as multi-sensory enrichment) or to a control group. Skin barrier recovery (SBR) was measured using transepidermal water loss at baseline, after tape-stripping and after the intervention. Psychological variables, cortisol and alpha-amylase were measured at the three time-points. SBR did not significantly differ between the EE conditions and the control condition. The music condition had higher stimulation levels than the control condition, and the comfort condition had significantly lower relaxation levels than the control condition after the intervention. The EE interventions tested were not beneficial for wound healing compared to a control group. Limitations were that the sample were not stressed and an active control condition was used.

Giving A Face to Chemotherapy-Induced Alopecia: A Feasibility Study on Drawings by Patients

Objective:

Individuals with cancer experience the impact of chemotherapy on hair loss in different ways. The aim of this pilot study was to explore patients' experiences of alopecia through patients' drawings.

Methods:

Fifteen female patients diagnosed with cancer and treated with chemotherapy were recruited at the oncological day-care unit of a teaching hospital in the Netherlands. Participants completed a semi-structured interview about alopecia. They drew their head and hair before and during chemotherapy and completed the Brief Illness Perception Questionnaire (B-IPQ).

Results:

The drawings revealed predominantly physical effects, rather than emotions. Emotions were evident in the text that patients wrote under the drawings and in the B-IPQ open question about the perceived consequences of alopecia. The overall impact of alopecia that emerged from the drawings and the B-IPQ corresponded to the information retrieved from the interviews, namely disappointment, insecurity, sadness, and confrontation.

Conclusions:

Drawings expose cognitive and emotional responses to alopecia that may be relatively unexplored when using traditional assessment methods such as questionnaires or interviews. In future research, the drawing instructions need to be more specifically focused on feelings in order to better capture emotional reactions to hair loss.

How Patient Perceptions Shape Responses and Outcomes in Inherited Cardiac Conditions

At least one-third of adults living with an inherited cardiac condition report clinically-significant levels of psychological distress. Poorer health-related quality of life compared with population norms is also consistently reported. These outcomes are associated with younger patient age, having an implantable cardioverter defibrillator, and receipt of uncertain clinical test results, and can influence self-management behaviours, such as adherence to potentially critical life-preserving medications. According to the Common Sense Model of Illness, people use information from multiple sources to 'make sense' of their health condition, and how they conceptualise the condition can strongly influence adaptation and coping responses. Previous studies with people with inherited cardiac conditions show that illness perceptions, such as greater perceived consequences and a poorer understanding of the condition, are associated with greater psychological distress and poorer adherence to medication. The Common Sense Model provides one potential framework for identifying patients who may be more vulnerable to adverse health outcomes, and for developing early interventions to reduce the physical and psychosocial burden of these conditions. Interventions based on the Common Sense Model have successfully improved physical and psychosocial outcomes associated with other cardiac conditions, and could be tailored for use with patients with an inherited cardiac condition (ICC).

Viewing Landscapes Is More Stimulating Than Scrambled Images After a Stressor: A Cross-disciplinary Approach

Research has demonstrated that nature is beneficial for many aspects of one’s health. This pilot study aimed to investigate whether viewing landscape artworks, as a form of representational nature, could improve psychological and physiological recovery from a laboratory stressor. A sample of 30 participants was randomized to one of two conditions: landscape and scrambled. After a laboratory stress task, participants in the landscape condition viewed a series of landscape paintings for 30 min; participants in the scrambled condition viewed digitally scrambled versions of these artworks as a control condition. Pupil size was measured while viewing the images using an eye tracker. Affect, drowsiness and fatigue, and the salivary stress biomarkers, cortisol, and alpha-amylase were measured at baseline, after the stressor, and after the artwork viewing period. After the viewing period, the scrambled condition had increased reports of low negative affect (which contains the variables of sleepy, dull, and sluggish) (p = 0.045, ηp2 = 0.12) and increased reports of drowsiness (p = 0.038, ηp2 = 0.12). Salivary cortisol levels decreased more rapidly while viewing the scrambled images compared to the landscape artworks (p = 0.027, ηp2 = 0.62). Lastly, pupil size while viewing the landscape artworks was larger than when viewing a blank screen (p = 0.025, ηp2 = 0.33), an effect not seen in the scrambled condition. This pilot study suggests that viewing landscape artworks was more stimulating and reduced drowsiness after stress when compared to viewing scrambled images.

Reference frame and emotions may contribute to discrepancies in patient and clinician risk estimates in Long QT syndrome

OBJECTIVE

Patients and clinicians need to have similar understandings of cardiac risk, so patients can make informed decisions. The aim of this study was to assess the concordance of risk estimates between Long-QT-Syndrome (LQTS) patients and an experienced clinician.

METHODS

This cross-sectional study included 86 LQTS patients recruited from a clinical registry. Participants completed two questions on their risk of cardiac arrest; likelihood (1=very-unlikely to 5=very-likely), and chance (%), and an experienced clinician computed the same based on risk factors.

RESULTS

30% and 55% of patients had concordant perceptions with the clinician estimate on the chance and likelihood questions respectively. The patients who overestimated their risk (%) had significantly greater emotional responses and concerns about their LQTS. 22 (29%) patients reported a risk of 50% or greater, in contrast to the clinician's risk estimates not exceeding 30%.

CONCLUSION

Many LQTS patients had discordant risk perceptions to the clinician's. Patients and clinicians may have different frames of reference, and patients' estimates are linked with emotions.

PRACTICAL IMPLICATIONS

Clinicians need to take into account LQTS patients' different frame of reference when discussing risk information. This will support shared decision making.

Open-label Placebos for Wound Healing: A Randomized Controlled Trial

Background

Open-label placebos are a novel treatment option, in which participants take placebos with full knowledge that they do not contain active medicine. Open-label placebo treatments have been shown to result in patient-reported symptom improvements, but they have not been tested on objectively measurable physiological outcomes such as wound healing.

Purpose

The current study aimed to determine whether open-label placebos improved wound healing in punch biopsy wounds compared with no treatment.

Methods

In a randomized controlled trial, 70 participants (mean age 27.6 ± 10.1, 58 female) were provided with information about the beneficial effects of placebos and given a 4 mm punch biopsy wound. Participants were then randomized to either an open-label placebo intervention (two placebo tablets twice a day for 10 days) or a no-treatment control group. Wounds were photographed at 7 days and 10 days to determine reepithelialization of the wound surface.

Results

No significant differences were observed between the open-label placebo and control conditions in the percentage of wound area healed or for the number of participants with fully reepithelialized wounds at 7 days (placebo 7/32 wounds healed, control 10/33 wounds healed, (χ2[1, N = 65] = 0.60, p = .440, φ = 0.10) and 10 days after wounding (placebo 17/32, control 25/33 wounds healed (χ2[1, N = 65] = 3.64, p = .056, φ = 0.24).

Conclusions

Open-label placebo treatment does not improve the healing rate of wounds. Open-label placebos may be beneficial for subjective patient-reported outcomes but do not influence wound healing.

Australian New Zealand Clinical Trials Registration

ACTRN12616000411448.

The Effect of Robot Attentional Behaviors on User Perceptions and Behaviors in a Simulated Health Care Interaction: Randomized Controlled Trial

Background

For robots to be effectively used in health applications, they need to display appropriate social behaviors. A fundamental requirement in all social interactions is the ability to engage, maintain, and demonstrate attention. Attentional behaviors include leaning forward, self-disclosure, and changes in voice pitch.

Objective

This study aimed to examine the effect of robot attentional behaviors on user perceptions and behaviors in a simulated health care interaction.

Methods

A parallel randomized controlled trial with a 1:1:1:1 allocation ratio was conducted. We randomized participants to 1 of 4 experimental conditions before engaging in a scripted face-to-face interaction with a fully automated medical receptionist robot. Experimental conditions included a self-disclosure condition, voice pitch change condition, forward lean condition, and neutral condition. Participants completed paper-based postinteraction measures relating to engagement, perceived robot attention, and perceived robot empathy. We video recorded interactions and coded for participant attentional behaviors.

Results

A total of 181 participants were recruited from the University of Auckland. Participants who interacted with the robot in the forward lean and self-disclosure conditions found the robot to be significantly more stimulating than those who interacted with the robot in the voice pitch or neutral conditions (P=.03). Participants in the forward lean, self-disclosure, and neutral conditions found the robot to be significantly more interesting than those in the voice pitch condition (P<.001). Participants in the forward lean and self-disclosure conditions spent significantly more time looking at the robot than participants in the neutral condition (P<.001). Significantly, more participants in the self-disclosure condition laughed during the interaction (P=.01), whereas significantly more participants in the forward lean condition leant toward the robot during the interaction (P<.001).

Conclusions

The use of self-disclosure and forward lean by a health care robot can increase human engagement and attentional behaviors. Voice pitch changes did not increase attention or engagement. The small effects with regard to participant perceptions are potentially because of the limitations in self-report measures or a lack of comparison for most participants who had never interacted with a robot before. Further research could explore the use of self-disclosure and forward lean using a within-subjects design and in real health care settings.

Developing assistive robots for people with mild cognitive impairment and mild dementia: a qualitative study with older adults and experts in aged care

OBJECTIVES

This research is part of an international project to design and test a home-based healthcare robot to help older adults with mild cognitive impairment (MCI) or early dementia. The aim was to investigate the perceived usefulness of different daily-care activities for the robot, developed from previous research on needs.

DESIGN

Qualitative descriptive analysis using semistructured interviews. Two studies were conducted. In the first study, participants watched videos of a prototype robot performing daily-care activities; in the second study, participants interacted with the robot itself.

SETTING

Interviews were conducted at a university and a retirement village.

PARTICIPANTS

In study 1, participants were nine experts in aged care and nine older adults living in an aged care facility. In study 2, participants were 10 experts in aged care.

RESULTS

The themes that emerged included aspects of the robot's interactions, potential benefits, the appearance, actions and humanness of the robot, ways to improve its functionality and technical issues. Overall, the activities were perceived as useful, especially the reminders and safety checks, with possible benefits of companionship, reassurance and reduced caregiver burden. Suggestions included personalising the robot to each individual, simplifying the language and adding more activities. Technical issues still need to be fixed.

CONCLUSION

This study adds to knowledge about healthcare robots for people with MCI by developing and testing a new robot with daily-care activities including safety checks. The robot was seen to be potentially useful but needs to be tested with people with MCI.