Planning Support Research Articles

Factors Influencing the Mental Health of Caregivers of Children with Cerebral Palsy

IntroductionCerebral palsy refers to a heterogeneous group of non-progressive neurodevelopmental disorders manifesting in infancy or childhood and varying in severity. It characterized by impaired motor function, sensation, and depressed intellectual abilities. Functional limitations in patients with cerebral palsy may result in chronic dependency, thereby compromising caregivers’ mental health and interfering with the integrity of the family structure.ObjectivesThis study aimed to determine the different factors affecting the mental health of caregivers of children with cerebral palsy and to raise awareness among healthcare providers.MethodsA cross-sectional study was conducted among caregivers of children with cerebral palsy in National Guard Health Affairs-Jeddah, Saudi Arabia, using the Depression Anxiety Stress Scale-21, a validated questionnaire assessing: depression, anxiety, and stress. This questionnaire was used to assess the mental health of the caregivers. In addition, factors reflecting child’s health condition, such as visual impairment, number of emergency department visits, and number of Pediatric Intensive Care Unit admissions were reported to investigate the impact on the caregiver’s mental health.ResultsThe sample included 40 caregivers, of which 72.5% were mothers. According to the Depression Anxiety Stress Scale-21 score, 12.5% (n = 5) of the caregivers had moderate depression scores, 10% (n = 4) revealed extremely severe depression, and 10% (n = 4) showed moderate anxiety. Furthermore, 12.5% (n = 5), 15% (n = 6), and 7.5% (n = 3) of the caregivers have scored as moderate, severe, and extremely severe stress levels, respectively. Caregivers’ depression, anxiety, and stress scores were significantly (p ≤ 0.05) associated with the impact of vision of their dependent children, frequent hospital admissions, and frequent emergency department visits. Increased Pediatric Intensive Care Unit admissions in the past year were also significantly associated with higher caregiver anxiety scores.ConclusionsTo the best of our knowledge, the dimension of caregivers’ stress and anxiety and their association with the children’s dependency level is not well documented in our region. Caregivers of children with cerebral palsy reported having mental health challenges associated with the children’s vision, frequent need for acute medical care, and hospital admissions.Healthcare workers should provide early and proactive planning of medical and social support for children and their families using a family-centered approach.Disclosure of InterestNone Declared

Problem focused coping strategies and high self-compassion can be seen as protective factors to lower stress, negative emotional reactions to job and anxiety

IntroductionPrevious research has shown that:-problem focused coping strategies aim to change the reaction to the stressful situations-self-compassion may reduce anxiety and depression. It is associated with happiness, it increases with age, it is negatively correlated with perceived stress and in older adults seems to be associated with higher levels of wisdom, integration, acceptance of one’s past life experiences and higher levels of meaning in life.-job related low LPLA (Low pleasurable Low arousal emotions) and high LPHA (Low pleasurable High arousal emotions) levels corelate to depression, anxiety, and stress. ObjectivesCase report of 60 years old computer scientistMethodsPsychiatric interview and scales:Self-reported questionnaires: The Brief-COPE, The Self-Compassion Scale (SCS-SF), The Perceived Stress Scale (PSS 10), The Depression Anxiety Stress Scale (DASS-10), The Job-related Affective Well-being Scale (JAWS), The Subjective Happiness Scale (SHS), The Meaning in Life Questionnaire (MLQ)Results60 years old male computer scientist, single, without children, multiple times a week in recreative activities and physical activities. He is not satisfied with close friendships, he sleeps 6 hours in day, he didn’t have traumatic experiences in life. He is not religious. He works 45 hours per week, from that 5-10 hours weekly works at the site of primary employment.The Brief-COPE: High score for using problem focused coping strategies-acceptance, planning, positive reframing, and informational support. Maladaptive coping strategies used in lower grade: self-blame and self-distraction.SCS-SF: Much higher levels of self-compassion than the norms established by previous research.DASS-10: low.SHS: lower happiness level than the norms established by previous research.JAWS: High negative emotional reactions to job and low level of overall job-related affective wellbeing together with lower HPHA, higher LPHA, and lower LPLA in comparison to previous research. According to previous research this person is not satisfied with his job and have a lot of negative emotions regarding his job.PSS 10: Levels of perceived stress are lower than the norms established by previous research.MLQ: this person scored below 24 on the scale- presence of meaning and below 24 on the scale search for meaning. According to previous research person with this score do not feel their life has a valued meaning and purpose and they do not not actively explore that meaning or seeking meaning.ConclusionsProblem focused coping strategies and high self-compassion can be seen as protective factors to lower stress, negative emotional reactions to job and anxietyDisclosure of InterestNone Declared

521 Bringing UCSF Research Resources to Community Health Systems: CTSI Research Infrastructure Network (RIN)

OBJECTIVES/GOALS: The CTSI Research Infrastructure Network (RIN) expands CTSI’s reach into the regional health systems to provide our services to a broad and diverse translational science community. We create and support research collaborations that span multiple geographies and patient populations and serve as a bridge between the affiliate sites and CTSI programs. METHODS/STUDY POPULATION: We conducted needs assessments at each site (n=6) via in-depth, semi-structured interviews with key stakeholders. Informants (n=40) included investigators, study personnel, and research administrators. Investigators were selected across a variety of departments and career stages. Interview transcripts and notes were analyzed using matrix-based qualitative methods to identify both the common and unique research infrastructure needs of each site. Individualized support plans were shared with each site and a comprehensive summary report was presented to CTSI leadership. RIN met with UCSF’s Comprehensive Cancer Center, which conducts clinical trials at 2 sites, to coordinator our effort and services. When possible, RIN addressed service requests in real time that arose during interviews. RESULTS/ANTICIPATED RESULTS: We identified heterogeneous needs across multiple sites. However, among the community health systems with non-academic clinicians, there were common needs for research training, consultations in biostatistics/study design, and finding academic collaborators. The needs of sites with UCSF academic faculty differed from those of community sites and mainly included improved awareness and access to CTSI programs, ease of use of data extraction services, training programs, and assistance with regulatory approvals. Site needs are best addressed with individual plans created with CTSI Program leaders. A developing governance structure will include representation on a CTSI advisory committee and an annual conference to facilitate the sharing of best practices and foster collaboration across member sites. DISCUSSION/SIGNIFICANCE: Providing an individualized, site-specific approach to expanding CTSI services to regional health systems, will increase research collaborations across Northern California through building relationships, addressing unique infrastructure needs and sharing best practices throughout the network.

Exploring The Impact of Positive Behaviour Support Plans on Adult Acute Mental Health Staff Practice

IntroductionThere is a national movement to reduce restrictive interventions due to the harm and distress they can cause which has been reflected in NHS trust policies and practices. NHS trust policies state that all in-patients who may require restrictive interventions must have a Positive Behaviour Support Plan (PBSP) based on a functional analysis of what drives and triggers their behaviour. A PBSP is intended to facilitate understanding and help manage behaviours that challenge by teaching new skills and ways to communicate a person’s needs. Previous research on the use of PBSPs on adult acute mental health wards is limited but research on PICU wards has shown PBSPs have not been implemented into mental health care as intended.Objectives Trust policies identify that PBSPs should be implemented to reduce the use of restrictive interventions. However, it is unknown whether PBSPs are being used as part of routine practice on the acute mental health ward. The degree to which staff are aware of patients PBSPs and how they use them to guide their practice is unclear. The service evaluation aims to understand the perspectives, attitudes, and experiences of staff who are responsible for using and implementing PBSPs on the ward. The evaluation aims to investigate how PBSP informs practice and to identify the barriers and facilitators to implementing PBSPs on the ward.MethodsA volunteer sample of clinical staff members (including Doctors, Nurses, Psychotherapists, Occupational Therapists, and Clinical Support Workers) who are responsible for implementing PBSPs on an acute mental health ward in the East of England took part in a focus group which lasted up to an hour. There were four focus groups with between two and four participants per group. A total of thirteen staff members participated in the focus groups. The focus groups lasted up to one hour and were guided by a topic guide. Two members of the project team facilitated the group. Focus groups were audio recorded.ResultsThematic synthesis will be the overarching approach used to synthesise the qualitative data from the focus groups. The audio recordings will be transcribed. Analysis will be conducted on a within-case basis prior to cross-case analysis aimed to identify common themes. Two evaluators will work together to code, analyse, and synthesise the extracted data.ConclusionsBased on the results, training may be developed to improve the understanding and implementation of the PBSPs on the ward. The findings may also result in changes to the way PBSPs are used. The results will be presented to the trust chief executives and used to inform how to best support individuals who may be at risk of requiring restrictive interventions.Disclosure of InterestNone Declared

한국과 대만의 국가무형유산 제도 비교연구: 전통공연예술 종목의 보유자 지원제도를 중심으로

한국과 대만의 국가무형유산 제도 비교연구: 전통공연예술 종목의 보유자 지원제도를 중심으로

예비유아교사의 디지털 역량에 대한 교육요구도 분석

Objectives The purpose of this study was to investigate early childhood pre-service teachers’ educational needs for digital competency.
 Methods We developed questions for digital competency survey according to the purpose of this study. Educational needs were analyzed based on paired-sample test, Borich need assessment, and the Locus for Focus Model.
 Results The results of this study can be summarized as follows. First, “Digital Thinking Ability” and “Digital Educational Environment Operation” were found to be important considered areas among digital competency of early childhood pre-service teachers. Second, as a result of analyzing the top and second priority for each area, “Digital Citizenship”, “Digital Data Utilization”, “Digital Educational Environment Operation” and “Digital Utilization Communication” was the top priority with needs.
 Conclusions This study provides basic data for the digital competency support plan for early childhood pre-service teachers and educational direction in the teacher training process.

澳大利亚科学数据发展政策与规划

Australia attaches great importance to the efficient management of scientific data resources, acknowledging data as a key driving force for innovative development. The nation actively coordinates and integrates digital infrastructure construction while making data openness one of the top priorities within the public sector. To effectively promote the development of scientific data in Australia, the country has implemented effective management and open sharing practices for scientific data, recognizing it as a valuable asset, which guarantees the discoverability, accessibility, and usability of data resources. Australia has formulated different policies at different stages and established different levels of support and regulatory agencies, providing strong guarantees for government policy formulation, strategic planning, and plan service implementation. Based on a wide range of literature and website information resources, this paper employs meticulous techniques in screening, extraction, analysis, and organization, with a focus on comprehensively sorting and analyzing the policy system construction, support and regulatory agencies, strategic planning support, infrastructure construction, and practical effectiveness of Australian scientific data initiatives. The paper will serve as a reference for China in formulating a scientific data policy management system, establishing a sound data resource sharing mechanism, and reinforcing the data security guarantee system.

장애대학생이 경험한 교육복지지원 실태 및 개선 요구

Purpose: The purpose of this study is to investigate the actual status of educational welfare support and the experiences and perceptions related to support needs experienced by college students with disabilities and, based on this, to suggest ways and implications to strengthen educational welfare support for college students with disabilities. Method: This study used qualitative research method and conducted focus group interviews with 10 college students with disabilities who participated in the study. As a result of the analysis, a total of 2 categories, 5 super-topics, and 15 sub-topics were derived. Results: As a result of the study, it was classified into categories such as meaning of educational welfare support, experience and improvement plan for each area of ​​educational welfare support. Conclusion: Based on the research results, measures and implications for strengthening educational welfare support for college students with disabilities were discussed.

고령자 지원주택 수요․공급 분석 및 인식조사 연구

According to a survey on the elderly, the majority of elderly people prefer to spend their golden years receiving care at their place of residence rather than entering a nursing facility. However, if their health is frail or semi-dependent and they need care but do not have family members to take care of them, there is no other option other than a nursing facility. Since the introduction of long-term care insurance for the elderly, the increase in nursing facility protection is causing negative results by lowering the quality of life of the elderly and increasing social costs. As a solution to this situation, supportive housing for the elderly rather than nursing facilities is emerging as an alternative. The purpose of this study is to identify awareness of supportive housing for the elderly and priority supply areas in order to preemptively respond to a super-aged society and provide stable community housing for the elderly, and use it as important basic data when promoting future projects. To this end, we analyzed the awareness of public and private experts on the general indicators needed when establishing the elderly supportive housing project plan. In addition, we analyzed the demand for care by identifying the elderly population who are consumers of supportive housing, and analyzed the supply of care by analyzing the status of elderly welfare facilities with similar functions to supportive housing. By analyzing the discrepancy between care demand and care supply, we analyzed priority supply areas that urgently need supportive housing for the elderly. In a reality where we are expected to enter a super-aged society and face a rapid population aging, we are identifying the discrepancy between supply and demand for elderly care in order to improve the quality of life of the elderly and reduce social costs. Efforts to preemptively respond to a super-aged society through research and analysis of priority supply areas for supportive housing for the elderly are no longer an option but a necessity.

리츠(REITs) 배당가능이익에 대한 세제의 문제점 및 개선방안

REITs are indirect real estate investment products that collect funds from investors, invest them in real estate-related securities, and return the profits to investors. In the case of domestically listed REITs, if dividendable profits are generated, more than 90% must be paid as dividends. Through this, corporate tax is exempted. The government has made great efforts to expand the size of the public REITs and public real estate fund markets. Nevertheless, REIT investment is less active in some areas than major overseas countries. Recently, under the Corporate Tax Act, the principle is not to include valuation gains and losses in the tax base. However, arguments have raised that an exception should be recognized for REIT valuation losses. This is because undistributed profits due to valuation losses of REITs, which are indirect investment vehicles, are included in the taxable list, and corporate tax is paid, causing the double taxation problem for REIT investors. Considering this situation, this study examined the problems and improvement measures of the current REIT-related tax system for the growth of Korea's REIT market. In addition, we sought to derive implications for tax support for the REITs market through examples from significant countries. If we want to revitalize the REITs market more than currently, support from government policies is essential. Among them, tax support occupies the most important position. In order to dramatically grow the REITs market, it is necessary to provide bold tax benefits as in other countries. This study raised the need to improve Korea's current REIT tax system, as in the cases of the United States and Japan, and attempted to establish a taxation plan for the REIT tax system suitable for Korea's circumstances. One of the most urgent tasks in revitalizing REIT investment is to quickly resolve the conflicting issues between commercial law and corporate tax law to prevent double taxation of REITs. In addition, the tax support plan presented in this study is expected to minimize tax problems occurring in the REIT market and promote a reasonable taxation plan for the REIT market that is consistent with Korea. The policy alternatives in this study are expected to help use them as primary data when establishing policy alternatives for tax authorities or related ministries in the future.

Supporting spatial planning with a novel method based on participatory Bayesian networks: An application in Curaçao

Land use change is a major driver of environmental degradation, necessitating appropriate planning to navigate trade-offs between societal objectives and ecological impacts. Sound planning is limited in some regions by data scarcity and incomplete scientific knowledge on local dynamics shaping development of land. In this paper, we present a novel expert-based participatory approach that uses Bayesian networks to determine land use suitability and potential conflicts for emerging land uses. This method encompasses a workshop phase for building suitability models for different sectors, data assembly and preparation, spatialization of networks, and iterative validation with experts. Mapped suitabilities for all land uses were used to assess potential competition for land across sectors and to quantify alignment of the expert-modeled outcomes with established land use policy. Applied to Curaçao, a data-poor environment in the Caribbean facing high land use competition, the method enabled the construction and parameterization of 5 Bayesian networks driven by 35 spatial input datasets generated through various methods from participatory mapping to social media analysis. Overlap in suitable locations for conservation and tourism development along segments of the coastline and roadsides of the western island highlight potential conflict stemming from coincidence of desirable natural amenities and ecologically sensitive areas. Results yield key insights that can drive discussion and inform policymakers and spatial planners as they navigate tradeoffs and seek optimal use of limited land resources. Process-based suitability predictions and knowledge of underlying drivers can also enable exploratory analysis into possible future scenarios of change.

Feasibility of Oral Function Evaluation According to Dementia Severity in Older Adults with Alzheimer's Disease.

Oral function evaluation in older adults with dementia is important for determining appropriate and practical dietary support plans; however, it can be challenging due to their difficulties in comprehending instructions and cooperating during assessments. The feasibility of oral function evaluation has not been well studied. This cross-sectional study aimed to determine the feasibility of oral function evaluation in older adults with Alzheimer's disease (AD) according to Functional Assessment Staging of Alzheimer's Disease (FAST) stages. In total, 428 older adults with AD (45 men and 383 women; mean age: 87.2 ± 6.2 years) were included. Multilevel logistic regression models were used to examine the prevalence of participants who were unable to perform oral function evaluations, including oral diadochokinesis (ODK), repeated saliva swallow test (RSST), and modified water swallow test (MWST). In comparison to the reference category (combined FAST stage 1-3), FAST stage 7 was associated with the infeasibility of ODK (adjusted odds ratio, 95% confidence interval = 26.7, 4.2-168.6), RSST (5.9, 2.2-16.1), and MWST (8.7, 1.6-48.5, respectively). Oral function evaluation is difficult in older adults with severe AD. Simpler and more practical swallowing function assessments and indicators that can be routinely observed are required.

Neural network modeling of innovative development of the electronics industry of regions

Subject. This article focuses on the issues of neural network modeling of innovative development. Objectives. The article aims to study the process of neural network modeling of the innovative development of the electronics industry in the regions of Russia. Results. The article presents the author-developed methodology for neural network modeling of the innovative development of the electronics industry of the regions. Conclusions and Relevance. The results obtained can be useful for government agencies to plan support for the innovative development of the electronics industry in regions. Investors can also use these results to choose the area of capital investment of their funds.

Convergence proof for the GenCol algorithm in the case of two-marginal optimal transport

The recently introduced Genetic Column Generation (GenCol) algorithm has been numerically observed to efficiently and accurately compute high-dimensional optimal transport (OT) plans for general multi-marginal problems, but theoretical results on the algorithm have hitherto been lacking. The algorithm solves the OT linear program on a dynamically updated low-dimensional submanifold consisting of sparse plans. The submanifold dimension exceeds the sparse support of optimal plans only by a fixed factor β \beta . Here we prove that for β ≥ 2 \beta \geq 2 and in the two-marginal case, GenCol always converges to an exact solution, for arbitrary costs and marginals. The proof relies on the concept of c-cyclical monotonicity. As an offshoot, GenCol rigorously reduces the data complexity of numerically solving two-marginal OT problems from O ( ℓ 2 ) O(\ell ^2) to O ( ℓ ) O(\ell ) without any loss in accuracy, where ℓ \ell is the number of discretization points for a single marginal. At the end of the paper we also present some insights into the convergence behavior in the multi-marginal case.

Artificial Intelligence in Hand Surgery - How Generative AI is Transforming the Hand Surgery Landscape.

Artificial intelligence (AI) has witnessed significant advancements, reshaping various industries, including healthcare. The introduction of ChatGPT by OpenAI in November 2022 marked a pivotal moment, showcasing the potential of generative AI in revolutionising patient care, diagnosis and treatment. Generative AI, unlike traditional AI systems, possesses the ability to generate new content by understanding patterns within datasets. This article explores the evolution of AI in healthcare, tracing its roots to the term coined by John McCarthy in 1955 and the contributions of pioneers like John Von Neumann and Alan Turing. Currently, generative AI, particularly Large Language Models, holds promise across three broad categories in healthcare: patient care, education and research. In patient care, it offers solutions in clinical document management, diagnostic support and operative planning. Notable advancements include Microsoft's collaboration with Epic for integrating AI into electronic medical records (EMRs), enhancing clinical data management and patient care. Furthermore, generative AI aids in surgical decision-making, as demonstrated in plastic, orthopaedic and hepatobiliary surgeries. However, challenges such as bias, hallucination and integration with EMR systems necessitate caution and ongoing evaluation. The article also presents insights from the implementation of NUHS Russell-GPT, a generative AI chatbot, in a hand surgery department, showcasing its utility in administrative tasks but highlighting challenges in surgical planning and EMR integration. The survey showed unanimous support for incorporating AI into clinical settings, with all respondents being open to its use. In conclusion, generative AI is poised to enhance patient care and ease physician workloads, starting with automating administrative tasks and evolving to inform diagnoses, tailored treatment plans, as well as aid in surgical planning. As healthcare systems navigate the complexities of integrating AI, the potential benefits for both physicians and patients remain significant, offering a glimpse into a future where AI transforms healthcare delivery. Level of Evidence: Level V (Diagnostic).

Participatory modeling for collaborative landscape and environmental planning: From potential to realization

Participatory modeling is a collaborative approach to formalize shared representations of a problem and, through the joint modeling process, design, and test solutions. This approach is particularly well-suited to address complex socio-environmental problems like climate change and its implications on equitable and sustainable resource management and landscape planning. Despite its potential to inform landscape and environmental planning and policy, participatory modeling has yet to become a mainstream practice in our field. The reasons are several. First, it is hard to standardize the approach, as it must be heavily tailored to the characteristics and context of each planning problem, including the stakeholders engaged in the process. It is also onerous, requiring long-term commitment and a broad range of skills that can only be attained through extensive training and collaboration. These and other barriers are currently being addressed with a resurgence of knowledge co-production and ethical participation in scholarship, in practice, and in funding agendas. While most of the participatory modeling scholarship has focused on modeling tools and engagement techniques, multiple other dimensions must be recognized and articulated for impactful planning support. Grounding this perspective on a more fully integrated picture of participatory modeling, I identify some of these gaps and suggest an interdisciplinary research agenda to further evolve and scale up this practice for landscape and environmental planning and policy. The agenda highlights aspects of interface design and model biases, value elicitation and inclusion, management of diversity and innovation through facilitation, and the potential of novel computer-assisted assessment methodologies.

Optimization of inclined coal seam tunnel section angle and anchor angle based on response surface method

The mining of inclined coal seams is often accompanied by problems such as difficult to control deformation of the tunnel roof and failure of anchor bolts. Taking the transportation channel of Jinping Coal Industry 1071-1 in Shanxi Xiangkuang Mine as the background, FLAC3D numerical simulation software was used, and the method of response surface experimental design and data analysis was used to systematically study the effects of the anchor installation angle and the roof inclination angle of the tunnel section on different inclination angles. Influence of the surrounding rock stability of coal seam roadways. On this basis, a multi-index tunnel support design evaluation method based on the response surface method was proposed, and the actual support plan was optimized and industrial tests were carried out based on the actual on-site support plan. The research results show that: in terms of inclined coal seam support, the degree of influence on the tunnel stability is in the following order: anchor installation angle > tunnel section roof inclination angle > coal seam inclination angle; the optimized support design obtained through the proposed technology The method has good application effect and can improve the stability of the roadway during the mining of the working face. It also proves the effectiveness of this technology and provides new ideas for the design of anchor support of inclined coal seam roadways and the optimization of roadway sections.

Why Down-managing Backlog Forensic DNA Case Entries Matters

Forensic laboratories face a backlog of case files, affecting service delivery, causing delays. Forensic laboratories face a backlog of case ϐiles, affecting service delivery and causing delays. The backlog points to underfunding, poor planning, and inadequate support, hindering deoxyribonucleic acid (DNA) analysis. Resolving casework backlogs may initially seem like a straightforward and attainable measure to improve the arrest of offenders and promote justice. Longer turnaround times impede investigative leads, emphasising the need for efficient strategies and a comprehensive approach to address and prevent backlogs in forensic laboratories. No study has been published on the forensic DNA backlogs in South Africa. The article explicitly addresses one aspect of a Doctor of Philosophy study and aims to ascertain the impact of backlogs of forensic DNA case entries. The study article’s research questions included the following: “What cases are considered as backlog?”; “What is the current backlog in forensic DNA case entries in South Africa?” and “What are the main reasons for the backlog of cases involving forensic DNA?” The prompt processing of DNA evidence is vital not only for safeguarding individuals falsely accused of crimes based on circumstantial evidence but also for adding prosecutors and providing justice for crime victims.

Healthcare Professionals Perspectives on Discharge Planning for Patients with Mental Illness

Introduction: Discharge planning is transferring a patient to a different level of care to improve continuity of care by bridging the gap between hospital and community care. This study aimed to explore the perspectives of healthcare professionals involved in discharge planning for patients with mental illness. Method: This research used qualitative methods with a phenomenological approach. Ten participants were selected using a purposive sampling method, with inclusion criteria healthcare professionals involved in the discharge planning process for patients in psychiatric hospitals, had worked in the service for at least 5 years, and provided direct or indirect services to patients. Data were collected through in-depth interviews using interview guides, recording devices, and field notes. Data were analyzed using thematic analysis. Results: The study identified four themes related to discharge planning preparation for patients with mental illness perceptions of roles and experiences in discharge planning, internal and external barriers in discharge planning, internal and external support in discharge planning and expectations for the continuity of discharge planning. Conclusions: The findings indicate that there are still significant disparities in the way that discharge planning for patients with mental illness is implemented in different mental health service settings. These study findings are intended to serve as a further source of information to develop a discharge planning system that integrates patients with mental illnesses from the hospital into the community.

Research on the Development of Digital Cultural and Creative Industry under the Background of Metaverse

The "Three Year Action Plan for the Development of Digital Economy in Jiangxi Province" clearly requires the implementation of a support plan for digital cultural and creative design projects, with a focus on supporting the development of digital cultural and creative enterprises, and building provincial-level digital cultural and creative industry demonstration bases. With the rapid development of blockchain technology and Internet applications, the digital economy has become a hot topic in today's era. Digital collectibles, as an important emerging industry in digital cultural and creative industries, are also developing rapidly. Studying the factors influencing user purchases of digital collectibles plays an important role in the industrialization and efficiency of digital cultural and creative industries. This study hopes to contribute to the realization of the vision of Digital China. This article takes the willingness of users to purchase digital collectibles in the context of the digital economy as the research object. Through a combination of online questionnaires and offline interviews, the influencing factors of Chinese netizens' willingness to purchase digital collectibles are investigated, and the contact and use of digital collectibles by Chinese residents are collected. At the same time, the collected data will be summarized, classified, and descriptive statistics will be conducted, combined with various analysis methods such as cross analysis, reliability analysis, and validity analysis. At the same time, relevant models will be established to analyze the degree of exposure and use of digital collectibles by Chinese residents, as well as the influencing factors of their selection.