Why healthcare managers should understand and apply the world of VUCA?

Today, amid a global pandemic, the world is changing rapidly. This bought a sense of urgency to adopt this change for the sustainability of both individual and corporate existence. The name given to the future world on the brink of this change and transformation is VUCA (Volatility, Uncertainty, Complexity and Ambiguity). COVID-19 pandemic exposed leadership teams to novel challenges that required many changes to their practices. This has been the most volatile, uncertain, complex, and ambiguous (VUCA) times in healthcare. VUCA software technologies that connect different geographies of the world over the Internet have provided institutions with standardization, harmonization, and acceleration. Understanding the VUCA world, adapting to it, focusing on the opportunities rather than the challenges it brings are the basis of sustainability. In order to increase or maintain the level of development of the countries, it is possible with the health institutions to provide a quality service and the development of standardization based on the VUCA approach. This global pandemic has clearly affected healthcare systems and workers throughout the world, with many worse affected than others. This chapter aimed to give information about the importance of why health managers should provide services based on the VUCA approach. © 2022 by Sema Ustgorul. All rights reserved.

Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study.

Elbow musculoskeletal pain (EP) is a major cause of disability. Telerehabilitation has shown great potential in mitigating musculoskeletal pain conditions, but EP is less explored. This single-arm interventional study investigates clinical outcomes and engagement levels of a completely remote multimodal digital care program (DCP) in patients with EP. The DCP consisted of exercise, education, and cognitive-behavioral therapy for 8 weeks. Primary outcome: disability change (through the Quick Disabilities of the Arm, Shoulder, and Hand questionnaire (QuickDASH), treatment response cut-offs: 12.0-point reduction and 30% change). Secondary outcomes: pain, analgesic intake, surgery intent, mental health, fear-avoidance beliefs, work productivity, and patient engagement. Of the 132 individuals that started the DCP, 112 (84.8%) completed the intervention. Significant improvements were observed in QuickDASH with an average reduction of 48.7% (11.9, 95% CI 9.8; 14.0), with 75.3% of participants reporting ≥30% change and 47.7% reporting ≥12.0 points. Disability change was accompanied by reductions in pain (53.1%), surgery intent (57.5%), anxiety (59.8%), depression (68.9%), fear-avoidance beliefs (34.2%), and productivity impairment (72.3%). Engagement (3.5 (SD 1.4) sessions per week) and satisfaction 8.5/10 (SD 1.6) were high. The significant improvement observed in clinical outcomes, alongside high engagement, and satisfaction suggests patient acceptance of this care delivery mode.

Screening and assessment for post-acute COVID-19 syndrome (PACS), guidance by personal pilots and support with individual digital trainings within intersectoral care: a study protocol of a randomized controlled trial.

BACKGROUND: Because the clinical patterns and symptoms that persist after a COVID-19 infection are diverse, a diagnosis of post-acute COVID-19 syndrome (PACS) is difficult to implement. The current research project therefore aims to evaluate the feasibility and the practicability of a comprehensive, interdisciplinary, and cross-sectoral treatment program consisting of a low-threshold online screening and holistic assessment for PACS. Furthermore, it aims to evaluate digital interventions and the use of so-called personal guides that may help to facilitate the recovery of PACS. METHODS: This German study consists of a low-threshold online screening for PACS where positively screened participants will be supported throughout by personal pilots. The personal pilots are aimed at empowering patients and helping them to navigate through the study and different treatment options. Patients will then be randomly assigned either to an intervention group (IG) or an active control group (ACG). The IG will receive a comprehensive assessment of physiological and psychological functioning to inform future treatment. The ACG does not receive the assessment but both groups will receive a treatment consisting of an individual digital treatment program (digital intervention platform and an intervention via a chatbot). This digital intervention is based on the needs identified during the assessment for participants in the IG. Compared to that, the ACG will receive a more common digital treatment program aiming to reduce PACS symptoms. Importantly, a third comparison group (CompG) will be recruited that does not receive any treatment. A propensity score matching will take place, ensuring comparability between the participants. Primary endpoints of the study are symptom reduction and return to work. Secondary outcomes comprise, for example, social participation and activities in daily life. Furthermore, the feasibility and applicability of the online screening tool, the holistic assessment, digital trainings, and personal pilots will be evaluated. DISCUSSION: This is one of the first large-scale studies to improve the diagnosis and the care of patients with PACS by means of empowerment. It is to be evaluated whether the methods utilized can be used for the German and international population. Trial registration ClinicalTrials.gov Identifier: NCT05238415; date of registration: February 14, 2022.

A brief course of digitally delivered cognitive behavioural therapy for the treatment of blood contamination-based obsessive-compulsive disorder: a structured case report

The lifetime prevalence of OCD in the UK is estimated to be between 1 in 100 and 1 in every 50 people. It is therefore necessary to explore innovations in practice to expand the reach of the gold standard therapeutic approaches of exposure with response prevention (ERP) and cognitive behavioural therapy (CBT). The COVID-19 pandemic has facilitated such innovations with several services accommodating changes to routine practice by utilising digital platforms to provide videoconference-delivered therapy. Despite a growing evidence base demonstrating efficacy and scope for the use of videoconference-delivered CBT for obsessive-compulsive disorder (OCD), there remains qualitative research collated from clinicians which suggests that a lack of practitioner confidence and a low belief in positive outcomes are barriers to adopting remote therapy practices for clinicians. Therefore, this structured case report describes the assessment, formulation, intervention and outcome of an 11-week videoconference-delivered therapeutic intervention. Reflections are made regarding the use of the digital platform throughout the intervention, alongside the strengths and difficulties of applying videoconference-delivered CBT for OCD.

Digital Therapy in Rehabilitation Service for Mental Health Patients during COVID-19 Pandemic: Opportunity and Challenges

This article is based narrative review of digital therapy in mental health services in Indonesia. It's because the demands of the order of life that are developing so fast make people be able to adjust themselves well. Some people can survive well and win in life's fierce competition, while others do not survive, then become stressed, traumatized, depressed, and then in turn experience mental disorders. Many strategies to handle mental problems such as using technology. Digital therapy in mental health services has recently become increasingly prominent, related to efforts to reach more people who are in need but do not have access to more practical breakthroughs. Digital therapy is considered a more practical breakthrough because anyone who needs it can access it. On the other hand, mental health issues are not very familiar in the community. Stigma and judgment are still high in people with mental health disorders or people who do not understand whether they have experienced mental health problems, what are the signs, what to do when experiencing mental health disorders, and what are the impacts if left unchecked. © 2022. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Digitally Delivered Exercise and Education Treatment Program for Low Back Pain: Longitudinal Observational Cohort Study.

BACKGROUND: Exercise and education is recommended as first-line treatment by evidence-based, international guidelines for low back pain (LBP). Despite consensus regarding the treatment, there is a gap between guidelines and what is offered to patients. Digital LBP treatments are an emerging way of delivering first-line treatment. OBJECTIVE: The aim of this study is to evaluate outcomes after participation in a 3-month digitally delivered treatment program for individuals with subacute or chronic LBP. METHODS: We analyzed data from 2593 consecutively recruited participants in a digitally delivered treatment program, available via the national health care system in Sweden. The program consists of video-instructed and progressive adaptable exercises, education through text lessons, and a chat and video function connecting participants with a personal physiotherapist. The primary outcome was mean change and proportion reaching a minimal clinically important change (MCIC) for LBP (2 points or 30% decrease) assessed with the numerical rating scale (average pain during the past week, discrete boxes, 0-10, best to worst). Secondary outcomes were mean change and proportion reaching MCIC (10 points or 30%) in disability, assessed with the Oswestry Disability Index (ODI; 0-100, best to worst) and a question on patient acceptable symptom state (PASS). RESULTS: The mean participant age was 63 years, 73.85% (1915/2593) were female, 54.72% (1419/2593) had higher education, 50.56% (1311/2593) were retired, and the mean BMI was 26.5 kg/m2. Participants completed on average 84% of the prescribed exercises and lessons, with an adherence of ≥80% in 69.26% (1796/2593) and ≥90% in 50.13% (1300/2593) of the participants. Mean reduction in pain from baseline to 3 months was 1.7 (95% CI -1.8 to -1.6), corresponding to a 35% relative change. MCIC was reached by 58.50% (1517/2593) of participants. ODI decreased 4 points (95% CI -4.5 to -3.7), and 36.48% (946/2593) reached an MCIC. A change from no to yes in PASS was seen in 30.35% (787/2593) of participants. Multivariable analysis showed positive associations between reaching an MCIC in pain and high baseline pain (odds ratio [OR] 1.9, 95% CI 1.6-2.1), adherence (OR 1.5, 95% CI 1.3-1.8), and motivation (OR 1.2, 95% CI 1.0-1.5), while we found negative associations for wish for surgery (OR 0.6, 95% CI 0.5-0.9) and pain in other joints (OR 0.9, 95% CI 0.7-0.9). We found no associations between sociodemographic characteristics and pain reduction. CONCLUSIONS: Participants in this digitally delivered treatment for LBP had reduced pain at 3-month follow-up, and 58.50% (1517/2593) reported an MCIC in pain. Our findings suggest that digital treatment programs can reduce pain at clinically important levels for people with high adherence to treatment but that those with such severe LBP problems that they wish to undergo surgery may benefit from additional support. TRIAL REGISTRATION: ClinicalTrials.gov NCT05226156; https://clinicaltrials.gov/ct2/show/NCT05226156.

Delivery of Digital Mental Health Therapy: Types and Effectiveness

Issues and information on mental health problems are frequently discussed through media channels. However, public awareness on mental health problems is still low. In addition, individuals with a mental health problem refuses to receive treatment. To overcome these problems, professional public health agencies around the world have designed digital mental health therapy. Digital mental health therapy has given a focus to the delivery of psychological and physical health rehabilitation treatments. Although digital mental health therapy has been shown to be effective in improving mental health conditions, however the appropriate type of digital platform used to provide the therapy for a particular type of mental health problem has yet to be studied. Therefore, this article focuses on the types of digital platforms used in therapy of mental health problems and its effectiveness on various aspects of health as well as rehabilitation. In this regard, content analysis of previous studies related to the type of digital platform and its effectiveness are done. The results of the content analysis showed that SMS the most widely used platform to deliver mental health problem therapy followed by smartphone applications, websites and online chat. Overall, the findings from the results of previous studies show positive changes in emotions, thoughts and behaviours. This suggests that mobile therapy for mental health has great potential to be implemented for individuals who have constraints to access in-person therapy or during critical times such as COVID19 pandemic situations which limiting population movement.

Development and Application of a Metaverse-Based Social Skills Training Program for Children With Autism Spectrum Disorder to Improve Social Interaction: Protocol for a Randomized Controlled Trial.

BACKGROUND: Autism spectrum disorder (ASD) is characterized by abnormalities in social communication and limited and repetitive behavioral patterns. Children with ASD who lack social communication skills will eventually not interact with others and will lack peer relationships when compared to ordinary people. Thus, it is necessary to develop a program to improve social communication abilities using digital technology in people with ASD. OBJECTIVE: We intend to develop and apply a metaverse-based child social skills training program aimed at improving the social interaction abilities of children with ASD aged 7-12 years. We plan to compare and analyze the biometric information collected through wearable devices when applying the metaverse-based social skills training program to evaluate emotional changes in children with ASD in stressful situations. METHODS: This parallel randomized controlled study will be conducted on children aged 7-12 years diagnosed with ASD. A metaverse-based social skills training program using digital technology will be administered to children who voluntarily wish to participate in the research with consent from their legal guardians. The treatment group will participate in the metaverse-based social skills training program developed by this research team once a week for 60 minutes per session for 4 weeks. The control group will not intervene during the experiment. The treatment group will use wearable devices during the experiment to collect real-time biometric information. RESULTS: The study is expected to recruit and enroll participants in March 2022. After registering the participants, the study will be conducted from March 2022 to May 2022. This research will be jointly conducted by Yonsei University and Dobrain Co Ltd. Children participating in the program will use the internet-based platform. CONCLUSIONS: The metaverse-based Program for the Education and Enrichment of Relational Skills (PEERS) will be effective in improving the social skills of children with ASD, similar to the offline PEERS program. The metaverse-based PEERS program offers excellent accessibility and is inexpensive because it can be administered at home; thus, it is expected to be effective in many children with ASD. If a method can be applied to detect children's emotional changes early using biometric information collected through wearable devices, then emotional changes such as anxiety and anger can be alleviated in advance, thus reducing issues in children with ASD. TRIAL REGISTRATION: Clinical Research Information Service KCT0006859; https://tinyurl.com/4r3k7cmj. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/35960.

Psychological Intervention and COVID-19: What We Know So Far and What We Can Do.

The coronavirus COVID-19 and the global pandemic has already had a substantial disruptive impact on society, posing major challenges to the provision of mental health services in a time of crisis, and carrying the spectre of an increased burden to mental health, both in terms of existing psychiatric disorder, and emerging psychological distress from the pandemic. In this paper we provide a framework for understanding the key challenges for psychologically informed mental health care during and beyond the pandemic. We identify three groups that can benefit from psychological approaches to mental health, and/or interventions relating to COVID-19. These are (i) healthcare workers engaged in frontline response to the pandemic and their patients; (ii) individuals who will experience the emergence of new mental health distress as a function of being diagnosed with COVID-19, or losing family and loved ones to the illness, or the psychological effects of prolonged social distancing; and (iii) individuals with existing mental health conditions who are either diagnosed with COVID-19 or whose experience of social distancing exacerbates existing vulnerabilities. Drawing on existing literature and our own experience of adapting treatments to the crisis we suggest a number of salient points to consider in identifying risks and offering support to all three groups. We also offer a number of practical and technical considerations for working psychotherapeutically with existing patients where COVID-19 restrictions have forced a move to online or technologically mediated delivery of psychological interventions.

Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint.

The ability to objectively measure aspects of performance and behavior is a fundamental pillar of digital health, enabling digital wellness products, decentralized trial concepts, evidence generation, digital therapeutics, and more. Emerging multimodal technologies capable of measuring several modalities simultaneously and efforts to integrate inputs across several sources are further expanding the limits of what digital measures can assess. Experts from the field of digital health were convened as part of a multi-stakeholder workshop to examine the progress of multimodal digital measures in two key areas: detection of disease and the measurement of meaningful aspects of health relevant to the quality of life. Here we present a meeting report, summarizing key discussion points, relevant literature, and finally a vision for the immediate future, including how multimodal measures can provide value to stakeholders across drug development and care delivery, as well as three key areas where headway will need to be made if we are to continue to build on the encouraging progress so far: collaboration and data sharing, removal of barriers to data integration, and alignment around robust modular evaluation of new measurement capabilities.

Artificial Intelligence and Chatbots in Psychiatry.

The utilization of artificial intelligence (AI) in psychiatry has risen over the past several years to meet the growing need for improved access to mental health solutions. Additionally, shortages of mental health providers during the COVID-19 pandemic have continued to exacerbate the burden of mental illness worldwide. AI applications already in existence include those enabled to assist with psychiatric diagnoses, symptom tracking, disease course prediction, and psychoeducation. Modalities of AI mental health care delivery include availability through the internet, smartphone applications, and digital gaming. Here we review emerging AI-based interventions in the form of chat and therapy bots, specifically conversational applications that teach the user emotional coping mechanisms and provide support for people with communication difficulties, computer generated images of faces that form the basis of avatar therapy, and intelligent animal-like robots with new advances in digital psychiatry. We discuss the implications of incorporating AI chatbots into clinical practice and offer perspectives on how these AI-based interventions will further impact the field of psychiatry.

Supporting Mental Health During the COVID-19 Pandemic Using a Digital Behavior Change Intervention: An Open-Label, Single-Arm, Pre-Post Intervention Study.

BACKGROUND: The COVID-19 pandemic is taking a toll on people's mental health, particularly as people are advised to adhere to social distancing, self-isolation measures, and government-imposed national lockdowns. Digital health technologies have an important role to play in keeping people connected and in supporting their mental health and well-being. Even before the COVID-19 pandemic, mental health and social services were already strained. OBJECTIVE: Our objective was to evaluate the 12-week outcomes of the digitally delivered Gro Health intervention, a holistic digital behavior change app designed for self-management of mental well-being, sleep, activity, and nutrition. METHODS: The study used a quasi-experimental research design consisting of an open-label, single-arm, pre-post intervention engagement using a convenience sample. Adults who had joined the Gro Health app (intervention) and had a complete baseline dataset (ie, 7-item Generalized Anxiety Disorder scale, Perceived Stress Scale, and 9-item Patient Health Questionnaire) were followed up at 12 weeks (n=273), including 33 (12.1%) app users who reported a positive COVID-19 diagnosis during the study period. User engagement with the Gro Health platform was tracked by measuring total minutes of app engagement. Paired t tests were used to compare pre-post intervention scores. Linear regression analysis was performed to assess the relationship between minutes of active engagement with the Gro Health app and changes in scores across the different mental health measures. RESULTS: Of the 347 study participants, 273 (78.67%) completed both the baseline and follow-up surveys. Changes in scores for anxiety, perceived stress, and depression were predicted by app engagement, with the strongest effect observed for changes in perceived stress score (F1,271=251.397; R2=0.479; P<.001). CONCLUSIONS: A digital behavior change platform that provides remote mental well-being support can be effective in managing depression, anxiety, and perceived stress during times of crisis such as the current COVID-19 pandemic. The outcomes of this study may also support the implementation of remote digital health apps supporting behavior change and providing support for low levels of mental health within the community.

Brief Online Cognitive Behavioural Intervention for Dysfunctional Worry Related to the COVID-19 Pandemic: A Randomised Controlled Trial.

INTRODUCTION: Worries about the immediate and long-term consequences of the COVID-19 pandemic may for some individuals develop into pervasive worry that is disproportionate in its intensity or duration and significantly interferes with everyday life. OBJECTIVE: The aim of this study was to investigate if a brief self-guided, online psychological intervention can reduce the degree of dysfunctional worry related to the COVID-19 pandemic and associated symptoms. METHODS: 670 adults from the Swedish general population reporting daily uncontrollable worry about CO-VID-19 and its possible consequences (e.g., illness, death, the economy, one's family) were randomised (1:1 ratio) to a 3-week self-guided, online cognitive behavioural intervention targeting dysfunctional COVID-19 worry and associated symptoms, or a waiting list of equal duration. The primary outcome measure was a COVID-19 adapted version of the Generalised Anxiety Disorder 7-item scale administered at baseline and weeks 1-3 (primary endpoint). Follow-up assessments were conducted 1 month after treatment completion. The trial was registered on ClinicalTrials.gov (NCT04341922) before inclusion of the first participant. RESULTS: The main pre-specified intention-to-treat analysis indicated significant reductions in COVID-19-related worry for the intervention group compared to the waiting list (ß = 1.14, Z = 9.27, p < 0.001), corresponding to a medium effect size (bootstrapped d = 0.74 [95% CI: 0.58-0.90]). Improvements were also seen on all secondary measures, including mood, daily functioning, insomnia, and intolerance of uncertainty. Participant satisfaction was high. No serious adverse events were recorded. CONCLUSIONS: A brief digital and easily scalable self-guided psychological intervention can significantly reduce dysfunctional worry and associated behavioural symptoms related to the COVID-19 pandemic.