Future Activities Research Articles

Impact of air pollution and climate change on mental health outcomes: an umbrella review of global evidence.

The impact of air pollution and climate change on mental health has recently raised strong concerns. However, a comprehensive overview analyzing the existing evidence while addressing relevant biases is lacking. This umbrella review systematically searched the PubMed/Medline, Scopus and PsycINFO databases (up to June 26, 2023) for any systematic review with meta-analysis investigating the association of air pollution or climate change with mental health outcomes. We used the R metaumbrella package to calculate and stratify the credibility of the evidence according to criteria (i.e., convincing, highly suggestive, suggestive, or weak) that address several biases, complemented by sensitivity analyses. We included 32 systematic reviews with meta-analysis that examined 284 individual studies and 237 associations of exposures to air pollution or climate change hazards and mental health outcomes. Most associations (n=195, 82.3%) involved air pollution, while the rest (n=42, 17.7%) regarded climate change hazards (mostly focusing on temperature: n=35, 14.8%). Mental health outcomes in most associations (n=185, 78.1%) involved mental disorders, followed by suicidal behavior (n=29, 12.4%), access to mental health care services (n=9, 3.7%), mental disorders-related symptomatology (n=8, 3.3%), and multiple categories together (n=6, 2.5%). Twelve associations (5.0%) achieved convincing (class I) or highly suggestive (class II) evidence. Regarding exposures to air pollution, there was convincing (class I) evidence for the association between long-term exposure to solvents and a higher incidence of dementia or cognitive impairment (odds ratio, OR=1.139), and highly suggestive (class II) evidence for the association between long-term exposure to some pollutants and higher risk for cognitive disorders (higher incidence of dementia with high vs. low levels of carbon monoxide, CO: OR=1.587; higher incidence of vascular dementia per 1 μg/m3 increase of nitrogen oxides, NOx: hazard ratio, HR=1.004). There was also highly suggestive (class II) evidence for the association between exposure to airborne particulate matter with diameter ≤10μm (PM10) during the second trimester of pregnancy and the incidence of post-partum depression (OR=1.023 per 1 μg/m3 increase); and for the association between short-term exposure to sulfur dioxide (SO2) and schizophrenia relapse (risk ratio, RR=1.005 and 1.004 per 1 μg/m3 increase, respectively 5 and 7 days after exposure). Regarding climate change hazards, there was highly suggestive (class II) evidence for the association between short-term exposure to increased temperature and suicide- or mental disorders-related mortality (RR=1.024), suicidal behavior (RR=1.012), and hospital access (i.e., hospitalization or emergency department visits) due to suicidal behavior or mental disorders (RR=1.011) or mental disorders only (RR=1.009) (RR values per 1°C increase). There was also highly suggestive (class II) evidence for the association between short-term exposure to increased apparent temperature (i.e., the temperature equivalent perceived by humans) and suicidal behavior (RR=1.01 per 1°C increase). Finally, there was highly suggestive (class II) evidence for the association between the temporal proximity of cyclone exposure and severity of symptoms of post-traumatic stress disorder (r=0.275). Although most of the above associations were small in magnitude, they extend to the entire world population, and are therefore likely to have a substantial impact. This umbrella review classifies and quantifies for the first time the global negative impacts that air pollution and climate change can exert on mental health, identifying evidence-based targets that can inform future research and population health actions.

Monitoring the spread of a pathogenic insect on vineyards using UAS

Abstract. Globalisation has contributed to rapid economic growth but has also exposed vulnerabilities such as the spread of pests in agriculture. An example is the Popillia Japonica Newman beetle, introduced to Italy in 2014, which has caused significant economic losses, mainly affecting vine cultures. Reliable identification of pests is essential for its management, but it is time-consuming and laborious. This has prompted growing interest in image-based methods, supported by computer vision (CV), which can significantly improve efficiency in insect detection. This study aims to evaluate a CV algorithm's effectiveness in identifying adult specimens of Popillia using Near-Infrared sensors on Uncrewed Aerial Systems (UAS). The project, conducted in two vineyards in northern Italy, intends to establish a replicable and standardised data acquisition protocol for future monitoring activities. Insects detected by the CV-based method are validated by manual counting performed by entomologists. In a GIS environment, prescription maps are generated in near real-time to identify where the vineyard is most affected and to guide the drone spraying treatment only on the areas in which the threshold is exceeded. The study demonstrates effective semi-automated monitoring, with a clear correlation between CV-based and manual insect measurements, as indicated by the Pearson correlation coefficients ranging from 0.89 to 0.96. Although the CV-based method may overestimate insect numbers, it provides valuable insights for targeted pest management interventions and damage assessment. The project outcomes offer a promising approach to safeguarding agriculture against invasive species, enhancing regional economic resilience while minimising the spread of insecticide, the required time, and human interaction with harmful substances.

Consensus-building conversation leads to neural alignment

Conversation is a primary means of social influence, but its effects on brain activity remain unknown. Previous work on conversation and social influence has emphasized public compliance, largely setting private beliefs aside. Here, we show that consensus-building conversation aligns future brain activity within groups, with alignment persisting through novel experiences participants did not discuss. Participants watched ambiguous movie clips during fMRI scanning, then conversed in groups with the goal of coming to a consensus about each clip’s narrative. After conversation, participants’ brains were scanned while viewing the clips again, along with novel clips from the same movies. Groups that reached consensus showed greater similarity of brain activity after conversation. Participants perceived as having high social status spoke more and signaled disbelief in others, and their groups had unequal turn-taking and lower neural alignment. By contrast, participants with central positions in their real-world social networks encouraged others to speak, facilitating greater group neural alignment. Socially central participants were also more likely to become neurally aligned to others in their groups.

COVID-19 and COVID-19 vaccination experiences and perceptions among health workers during the pandemic in Ebonyi state, Nigeria: An analytical cross-sectional study

Background COVID-19 continues to be a disease of global public health importance and requires long-term management and control. Health workers’ (previous) experiences and perceptions regarding the COVID-19 pandemic and COVID-19 vaccination/vaccination process will influence not only their subsequent use of control measures but also public experiences/perceptions. We explored the COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions, and their predictors, among the health workers in Ebonyi state, Nigeria. Methods We conducted an online-offline analytical cross-sectional survey between March 12 and May 9, 2022 among all categories of health workers (clinical/non-clinical, public/private) working/living in Ebonyi state who consented to participate and were selected by convenience/snowballing techniques. A structured electronic questionnaire was used to collect data: self-administered via WhatsApp and interviewer-administered via KoBoCollect for participants who did not have WhatsApp. Data was analysed using descriptive statistics and bivariate/multivariate generalized linear models. Results Of the 1276 health workers surveyed: 55.8% had strong COVID-19 experience and perception, 80.7% had good COVID-19 vaccination expectation and perception, and 87.7% had positive COVID-19 vaccination process experience and perception. The most important predictors of the extent and level of COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions were level of place of work (primary-secondary/tertiary), level of attitude towards COVID-19 (vaccination), and level of knowledge about COVID-19. Another important predictor was place of work (public/private). Conclusions The evidence indicate the factors that should guide subsequent policy actions in the strategies to enhance the COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions of health workers (and their use of control measures) in Ebonyi state, Nigeria, and other similar contexts. It also indicate factors to be considered by future policy actions regarding similar diseases.

The hierarchical predictive coding framework of post-traumatic stress disorder

Humans rely on internal models from sensory information to predict future action, and the default mode network (DMN) plays a pivotal role in this process. These models, however, can become distorted or disrupted in cases of post-traumatic stress disorder (PTSD) because traumatic stress can maladaptively alter how humans understand themselves and predict what happens in the world around them. Here, we examine the relationship between PTSD and this predictive phenomenon known as hierarchical predictive coding implicated in the DMN. We postulate that a hierarchical predictive coding framework will help researchers and clinicians more effectively explain the neural and psychological effects of PTSD among individuals who live with this condition, which may contribute to more targeted research and treatment outcomes.

To lie or to tell the truth? The influence of processing the opponent’s feedback on the forthcoming choice

IntroductionThe brain mechanisms of deceptive behavior are relatively well studied, and the key brain regions involved in its processing were established. At the same time, the brain mechanisms underlying the processes of preparation for deception are less known.MethodsWe studied BOLD-signal changes during the presentation of the opponent’s feedback to a previous deceptive or honest action during the computer game. The goal of the game was to mislead the opponent either by means of deception or by means of telling the truth.ResultsAs a result, it was shown that several brain regions that were previously demonstrated as involved in deception execution, such as the left anterior cingulate cortex and anterior insula, also underlie processes related to deception preparation.DiscussionThe results obtained also allowed us to suggest that brain regions responsible for performance monitoring, intention assessment, suppression of non-selected solutions, and reward processing could be involved in shaping future action selection and preparation for deception. By shedding light on the brain mechanisms underlying deception, our study contributes to a deeper understanding of this complex cognitive process. Furthermore, it emphasizes the significance of exploring brain mechanisms governing the choice between deception and truth at various stages of decision-making.

Ethical challenges in the bioanthropological and biomedical investigation of Sicilian mummies-Past experience and future pathways.

This article presents a multidisciplinary approach adopted in the Sicily mummy project, highlighting unique challenges and major ethical concerns inherent to the scientific study, conservation, and presentation of these mummies. Recognizing mummies as a distinct category of human remains, this paper argues for the development and application of specialized guidelines that address the intricate balance between scientific inquiry and respect for the cultural, religious, and mortuary practices that characterize the cultural context, in this case of Sicily. Through a transparent and collaborative dialogue among all stakeholders-including curators, clergy, scientists, and government officials-the project ensures the preservation of the mummies' dignity within their sacred spaces. The critical role of biological anthropologists is emphasized, alongside the contributions of clinical radiologists, pathologists, and qualified restorers, in constructing a comprehensive understanding of the mummies' biocultural significance. The paper advocates for a bioarchaeological strategy that advances scientific knowledge while safeguarding the mummies and respecting living communities. Additionally, we call for ethical rigor in scholarly publications and suggest future actions to protect this invaluable heritage. This approach not only preserves the dignity and integrity of the mummified remains but also enriches our understanding of past human societies.

Introducing a Novel Concept for an Integrated Demolition Waste Recycling Center and the Establishment of a Stakeholder Network: A Case Study from Germany

Using recycled aggregates has many positive environmental impacts because of the conservation of natural resources and minimization of waste. The use of recycled aggregates in downcycling processes is already common in Germany, whereas utilizing them to produce high-quality recycled concrete is rarely applied in practice. The reasons behind this lag have been investigated based on surveys and interviews with stakeholders. Miscommunication and missing information were identified in all stakeholder groups. Therefore, establishing a robust network and facilitating knowledge transfer by specifying the demand for recycled aggregates in the case study region have been considered as prerequisites. Therefore, the paper presents a novel concept of a stakeholder network for an integrated construction and demolition waste center. The conceptualization integrates the recycling companies and construction product manufacturers in one venue with research, service, and educational divisions. The design of the facilities is based on calculations regarding future construction activities and the demand for concrete production. The proposed concept aims to supply the region in the west of Germany with high-quality recycled products while also establishing a robust network that offers benefits in terms of logistical optimization and knowledge transfer.

Encouraging Invasive Acacia Control Strategies by Repurposing Their Wood Biomass Waste for Pulp and Paper Production

Concerns on the expanding infestation of several Acacia species in the southern Mediterranean European countries have triggered an ever-growing requirement for costly targeted control actions. Valorizing biomass waste produced could help promote and better finance these actions. For that purpose, wood wastes from invasive control actions were tested regarding their pulp and paper potential, aiming to entice cellulose industries to partake in future conservation actions. Wood waste from the five most pervasive Acacia species was studied (Acacia dealbata Link, Acacia longifolia Willd, Acacia mearnsii De Wild, Acacia melanoxylon R.Br, and Acacia saligna Labill) regarding physical and chemical characteristics, and a central composite design was used to optimize alkali charge and reaction temperature on pulping yield and delignification. Bleached kraft pulps were produced with each species’ optimized conditions and for an equitable mixture of all species. Optimized pulp yields (52.6%–53.5%) and pulp polymerization degree (2867–3690) of Acacia species were higher than those of Eucalyptus globulus Labill (used as reference). Optimized bleached pulps were refined and fiber, pulp, and handsheet properties determined. Acacia dealbata and A. longifolia presented high specific wood consumption and lower handsheet strength properties, pointing to overall lower pulping potential, while A. melanoxylon and A. mearnsii characteristics were equal to or higher than those of E. globulus. A. saligna pulp and handsheet characteristics appear more suited for tissue paper. The Acacia mixture achieved acceptable characteristics, enabling the indiscriminate use of Acacia wood regardless of the species. As a shortcoming, the Acacia pulps showed the worst optical characteristics, with brightness dropping substantially with beating (64%–76%) when compared to E. globulus (81%).

Exploring the characteristics of undergraduates’ Critical thinking development in peer interaction via epistemic network analysis

Although peer interaction has been considered a way to develop students’ critical thinking, there has been a lack of comprehensive exploration of the teaching strategy of analyzing undergraduates’ peer interaction regarding critical thinking skills and dispositions. In this study, 33 third-year undergraduates participated in a peer interactive learning activity. By means of Epistemic Network Analysis (ENA), the characteristics of developing critical thinking in peer interaction of high- and low-scoring groups were revealed. It was found that undergraduates’ critical thinking mainly involved the critical thinking skills of analysis, evaluation, and inference, more than the critical thinking dispositions of curiosity, open-mindedness, persistence, and reflection. High-scoring group students’ critical thinking had more associations among persistence, analysis, evaluation, inference, and open-mindedness, while low-scoring group students’ critical thinking had more associations with curiosity, analysis, and inference. Moreover, the high- and low-scoring group students who engaged in peer interactive learning activities at each stage exhibited statistically significant differences in critical thinking characteristics including connectivity and interdependence. The low-scoring groups focused on critical thinking skills, whereas the high-scoring groups were driven by critical thinking dispositions. Finally, interventions for developing critical thinking are discussed, and suggestions are made to assist in designing and implementing future peer interactive learning activities.

Predicting regional cumulative effects of future development on coastal ecosystems to support Indigenous governance

Abstract To achieve better biodiversity outcomes and match local governance capacity, cumulative effects assessment frameworks that combine Indigenous and western knowledge to predict future development impacts on biodiversity are needed. We developed a spatial future‐focused model informed by inclusive elicitation and strategic foresight to assess the regional cumulative effects of development on ecosystem health across the land and sea. We collaborated with three First Nations on the Central Coast of British Columbia, Canada, enabling Indigenous priorities, knowledge and values to drive the process, from the choice of priority ecosystem components (including salmon, herring, seabirds and bears), to identifying future development scenarios (based on forestry, energy/mining, tourism and salmon aquaculture sectors). Bayesian networks were populated with empirical data and expert judgement elicited from knowledge holders to predict the cumulative effects of current and future pressures on species and ecosystems. Under current conditions, the lowest probability of persistence was predicted for Pacific salmon (37%), followed by Pacific herring (43%). Under future conditions, the greatest declines in species health were associated with the intense development of mining, tourism and forestry, with up to a 54% decline from the current baseline health estimates predicted for Marbled Murrelets and old‐growth forest. Future outcomes for overall ecosystem health were predicted to be worst in scenarios with high future forestry activities (>60% decline in some areas). The continuation or development of all four industries resulted in an 8% decline overall in ecosystem health across the Central Coast. In contrast, predicted ecosystem health in the tourism economy scenario increased up to 15% in some marine areas, primarily driven by the removal of salmon aquaculture and forestry activities. Synthesis and applications. Our study demonstrates an inclusive, regional approach to assessing the cumulative effects of future development on coastal species. The novel participatory tools and predictive framework draw upon and interweave multiple forms of knowledge, enabling Indigenous values to drive the process, and appropriately integrate Indigenous knowledge into regional cumulative effects assessment. Our interactive web application provides First Nations partners access to all outputs, supporting Indigenous‐led governance and in situ ecosystem‐based management of their lands and water.

Anthropogenic warming is a key climate indicator of rising urban fire activity in China

Abstract China, one of the most populous countries in the world, has suffered the highest number of natural disaster-related deaths from fire. On local scales, the main causes of urban fires are anthropogenic in nature. Yet, on regional to national scales, little is known about the indicators of large-scale co-varying urban fire activity in China. Here, we present the China Fire History Atlas (CFHA), which is based on 19 947 documentary records and represents fires in urban areas of China over the twentieth century (1901–1994). We found that temperature variability is a key indicator of urban fire activity in China, with warmer temperatures are correlated with more urban fires, and that this fire–temperature relationship is seasonally and regionally explicit. In the early twentieth century, however, the fire–temperature relationship was overruled by war-related fires in large urban areas. We further used the fire–temperature relationship and multiple emissions scenarios to project fire activity across China into the twenty-first century. Our projections show a distinct increase in future urban fire activity and fire-related economic loss. Our findings provide insights into fire–climate relationships in China for densely-populated areas and on policy-relevant time scales and they contribute spatial coverage to efforts to improve global fire models.

Streets classification models by urban features for road traffic noise estimation

Road traffic is the primary source of environmental noise pollution in cities. This problem is also spreading due to inadequate urban expansion planning. Hence, integrating road traffic noise analysis into urban planning is necessary for reducing city noise in an effective, adaptable, and sustainable way. This study aims to develop a methodology that applies to any city for the stratification of urban roads by their functionality through only their urban features. It is intended to be a tool to cluster similar streets and, consequently, traffic noise to enable urban and transportation planners to support the reduction of people's noise exposure. Three multivariate ordered logistic regression statistical models (Model 1, 2, and 3) are presented that significantly stratify urban roads into five, four, and three categories, respectively. The developed models exhibit a McFadden pseudo-R2 between 0.5 and 0.6 (equivalent to R2 >0.8). The choice between Model 1 or 2 depends on the scale of the city. Model 1 is recommended for developed cities with an extensive road network, while Model 2 is most suitable in intermediate and growing cities. On the other hand, Model 3 could be applied at any city scale but focused on local management of transit routes and for designing acoustic sensor installations, urban soundwalks, and identification of quiet areas. Urban features related to road width and length, presence of transport infrastructure, and public transport routes are associated with increased traffic noise in all three models. These models prove useful for future action plans aimed at reducing noise through strategic urban planning.

APPROVAL OF FORMATION OF PROFESSIONAL COMPETENCE OF FUTURE OPERATORS IN INFORMATION PROCESSING AND SOFTWARE

The article is devoted to the problem of researching the effectiveness of the process of forming the professional competence of future information processing and software operators in the process of professional training. It was found that the system of training future specialists in the process of professional training is aimed at ensuring their readiness for professional activity, taking into account all components of the educational process of the educational institution. It was clarified that the important factors of the problem of the formation of professional competence of future specialists in the process of professional training are inadequate readiness for professional activity and the appropriate level of their professional competence for such activity. It was revealed that the process of formation of professional competence of individuals for professional activity is influenced by the following factors: transformation of the content of training of future operators in information processing and software in professional (vocational and technical) education institutions; the prestige of the profession and its social significance; professional development and development of the personality of future specialists; acquisition of practical experience by students of education regarding the implementation of innovative technologies and project activities; purposeful mastery of professional skill and specialty; the formation of a culture of mastery and the readiness of qualified specialists for professional activity. It is specified that the formation of professional competence of future specialists in the process of professional training is oriented towards: purposeful formation of a complete system of professional competences in the process of professional training; development of motivational potential; enrichment of the development of individual and professional qualities, formation of self-assertion, improvement of personal and professional assets, acquisition of one's own style of work; accumulation of experience in professional skills for effective performance of professional activities, improvement of professional abilities and skills for further self-actualization, self-improvement of professional activities, development of quick adaptation to full-fledged future activities; improvement of assets of creative and scientific research, enabling professional self-development in professional activity. The study of the continuity of the development of future specialists to professional activity requires further development.

Guilt, shame, and antiwar action in an authoritarian country at war

Guilt, shame, and antiwar action in an authoritarian country at war

Cybercrime Intention Recognition: A Systematic Literature Review

Cybercrime Intention Recognition: A Systematic Literature Review

The specific features of the values and meaning domain and motivation of future specialists in the transport industry

Currently, the problem of training highly skilled, competitive specialists equipped with competencies necessary for their future professional activity is of particular relevance. This is key to building a talent pipeline in the transport industry in general and in the railway sector in particular where the activities of the majority of workers involve providing safety and continuity of operations. One of the topical issues is to study their values and meaning domain and motivational attitudes to their future profession as an opportunity to develop techniques of psychological and pedagogical support aimed at forming stable internal motives and optimizing the professional development of future specialists in the transport industry. The purpose of the study is to explore the specific features of the values and meaning domain and motivation of future specialists in the transport industry. In order to study the purpose-in-life orientations, personality traits and motivation of future specialists in the transport industry, a study was conducted with the participation of 50 people aged 20 to 24 years. The following methods were used: the Purpose-in-Life (PIL) Test by D. Crumbaugh and L. Maholick adapted by D. A. Leontiev; the questionnaire for the assessment of personality traits of a professional (LOP) by I.G. Senin and V.E. Oryol; and the Motivation for Success and Fear of Failure (MUN) method by A. A. Rean. The results for interpretation were obtained by mathematical and statistical data processing using correlation analysis (the Pearson correlation criterion). The sense of purpose in the students is associated with the ability to identify significant conditions for achieving goals and everything that happens to them contributes to their personal growth. The more the students perceive their lives as emotionally intense and interesting, the less they tend to perceive their educational and professional activities as a source of stress. Conclusions: Students with clear goals for the prospects of their future professional self-realisation tend to show internal motives for achieving results to a greater extent. The feeling of meaningfulness and productivity of the students’ lives is associated with tension they experience in the learning process, conscious control of their actions and behaviour.

Challenged thriving: a qualitative study of resilience in multiple sclerosis family carers during the COVID-19 pandemic

This study investigates the lived experiences of multiple sclerosis family carers during the COVID-19 pandemic and explores the impact of the pandemic on psychological resilience processes using a socioecological framework. Following thematic analysis of interviews, two main findings emerged: first, behavioural vigilance intended to mitigate viral spread eclipsed carers’ needs and deprived them of support resources; and, second, multiple sclerosis carers harboured resilience via practices of gratitude and leveraging interpersonal relationships. Future action is needed to develop public crisis responses that integrate multiple sclerosis carers’ needs, including improved care-continuity models, the alleviation of social isolation and advancements in multifaceted wellness preservation.

“The future will be green, or not at all”: How positive (utopian) and negative (dystopian) thoughts about the future shape collective climate action

The global movement to combat climate change is focused on pressuring governments, industry and other key decision-makers to take urgent action to mitigate the causes and impacts of climate change. The movement has played an important role in global transformation and change. What motivates people to engage in collective climate action? The current study examines the role of prospection, that is, thoughts and emotions about the future, in shaping collective climate action. Two studies (Study 1: N = 413; Study 2: N = 440) test experimentally the effects of positive (utopian) and negative (dystopian) future-oriented thinking on collective climate action via future-oriented emotions (hope and fear). Participants were assigned to engage in one of two imagination tasks focussing either on a utopian society that has adapted to climate change, or a dystopian society, or a control condition (passive or active). Across both studies, utopian thinking was found to indirectly affect collective climate action by evoking feelings of hope. Additionally, an indirect effect of dystopian thinking on collective climate action through fear was found in Study 2. These results suggest that both forms of future-oriented thinking may have the potential to increase collective climate action intentions by evoking an emotional response.

Examining the Factors Influencing Teleconsultation Adoption During the Pandemic Using the TAM Model

Purpose: The purpose of this study is to understand patients' behavior in adopting teleconsultation services during the pandemic which has accelerated technology adoption in various sectors and regions in unnatural ways through experimentation in the wide-spread adoption of telemedicine specifically in teleconsultation. Design/methodology/approach: The study is cross-sectional quantitative research with purposive sampling that was analyzed using the partial least squares structural equation model (PLS-SEM) with data gathered from 100 patients who used tele-consultation services during the pandemic. The technology adoption model (TAM) was used to frame the phenomenon as previous study revealed that TAM is most suitable to understand technology adoption in the healthcare industry. Findings: The analysis revealed that trust, ease of use, and privacy are significant latent variables that influence the intention and actual use of the tele-consultation services, while the usefulness of the services insignificantly influences the intention to use. The study revealed that trust is the dominant factor despite the emergency and experimentation state of patients to get healthcare services during the pandemic. Self-preservation, and the patients accumulated experience they had with the healthcare services provider are the determinants of this behavior based on theory and confirmative interview. Research limitations/implications: The implication of this research opens interdisciplinary future research and practical action on the relationship between healthcare provider, patient experience, self-preservation, and technology adoption during the emergency and pandemic era. Research Limitation: Early system usage and adopter focused, limited system quality and reliability, and generalization are the limitation of this research. Originality/value: The study provides insight into factors that influence the adoption and usage of tele-consultation experimentation health services during a pandemic.