UNASSIGNED: Integrating health information into university information systems holds significant potential for enhancing student support and well-being. Despite the growing body of research highlighting issues faced by university students, including stress, depression, and disability, little has been done in the informatics field to incorporate health technologies at the institutional level.
UNASSIGNED: This study aims to investigate the current state of health information integration within university systems and provide design recommendations to address existing gaps and opportunities.
UNASSIGNED: We used a user-centered approach to conduct interviews and focus group sessions with stakeholders to gather comprehensive insights and requirements for the system. The methodology involved data collection, analysis, and the development of a suggested workflow.
UNASSIGNED: The findings of this study revealed the shortcomings in the current process of handling health and disability data within university information systems. In our results, we discuss some requirements identified for integrating health-related information into student information systems, such as privacy and confidentiality, timely communication, task automation, and disability resources. We propose a workflow that separates the process into 2 distinct components: a health and disability system and measures of quality of life and wellness. The proposed workflow highlights the vital role of academic advisors in facilitating support and enhancing coordination among stakeholders.
UNASSIGNED: To streamline the workflow, it is vital to have effective coordination among stakeholders and redesign the university information system. However, implementing the new system will require significant capital and resources. We strongly emphasize the importance of increased standardization and regulation to support the information system requirements for health and disability. Through the adoption of standardized practices and regulations, we can ensure the smooth and effective implementation of the required support system.

After a long journey in relative obscurity, qualitative research is being accepted in the field of school psychology. As more school psychology researchers and graduate students adopt it as part of their scholarly endeavors, we reflect on the qualitative research published in school psychology since 2006 in terms of what has been done so far and what can be improved going forward. This act of academic retrospection can strengthen qualitative research in school psychology by helping to identify areas of strength and weakness. We read all qualitative studies published in seven school psychology journals between 2006 and 2021 to understand their methodological character. In Section I, we discuss the methodological trends (e.g., approach to inquiry, data collection methods, data analysis strategies) we found. In Section II, we reflect upon this corpus and identify some common misconceptions about qualitative methodologies that stood out to us. We clarify these misconceptions and highlight some examples of \'good\' practices in these articles that could be adopted by other researchers. Finally in Section III, we provide some general recommendations about developing school psychologists\' understanding of and the ability to conduct qualitative research.

BACKGROUND: There are more than 1.5 million children and young people in England with special educational needs (SEN), with over 160,000 young people in the United Kingdom attending a special school or alternative provision (AP) setting. Young people with SEN have been found to be at risk for poorer mental health and well-being than non-SEN peers. However, there is a range of both school-related and research challenges associated with identifying difficulties in a timely manner.
OBJECTIVE: This Delphi study aims to determine a list of stakeholder priorities for improving school-based measurement of mental health and well-being among young people with SEN, at an aggregated level, within secondary special school or AP settings. A secondary objective is to inform the implementation of school-based well-being surveys, improve engagement in special schools or AP settings, and improve survey response rates among children and young people with SEN.
METHODS: A mixed methods Delphi study will be conducted, including a scoping review and preliminary focus groups with school staff members and researchers to establish key issues. This will be followed by a 2-round Delphi survey to determine a list of stakeholder priorities for improving the measurement of mental health and well-being at an aggregate level within special schools and AP settings. A final stakeholder workshop will be held to discuss the findings. A list of recommendations will be drafted as a report for special schools and AP settings.
RESULTS: The study has received ethical approval from the University College London Research Ethics Committee. The stage 1 scoping review has commenced. Recruitment for focus groups will begin in Autumn 2024. The first round of the Delphi survey will commence in early 2025, and the second round of the Delphi survey in the spring of 2025. The final workshop will commence in mid-2025 with final results expected in late 2025.
CONCLUSIONS: There is a need for clear recommendations for special schools and AP settings on priorities for improving the measurement of mental health and well-being problems among young people with SEN. There is also a need for recommendations to researchers implementing school-based well-being surveys, including the #BeeWell program, to enable them to improve their engagement in special schools and AP settings and ensure surveys are accessible.
UNASSIGNED: PRR1-10.2196/58610.

This scoping review aims to describe the range of research studies using arts-based data collection methods with immigrant and racialized older adults. A secondary aim is to identify challenges and strengths of using these approaches with this population. This review uses Arksey and O\'Malley\'s five-stage scoping review framework with a final number of 16 references included for the study. Enhanced social connectedness, increased transparency and quality of findings, and self-empowerment were key strengths of using arts-based approaches for data collection. Challenges identified included resource limitations, cultural and language barriers, and barriers to meaningful engagement. Only a small number of studies have utilized arts-based methods with immigrant and racialized older adults. Arts-based approaches require unique methodological adaptations with this population but have the potential to increase engagement in research activities, authenticity of research findings and empowerment of older adults.

Photo elicitation is a qualitative data collection technique in which the researcher includes photographs or other visual images as part of participant interviews. The researcher might provide the photographs or might ask the participants to bring photographs to the interview. This technique enhances the breadth and depth of verbal qualitative interviews. The use of photo elicitation can enhance the rigor of a qualitative study. There are both advantages and disadvantages of this data collection technique. Ethical issues warrant special consideration.

BACKGROUND: SMS text messages through mobile phones are a common means of interpersonal communication. SMS text message surveys are gaining traction in health care and research due to their feasibility and patient acceptability. However, challenges arise in implementing SMS text message surveys, especially when targeting marginalized populations, because of barriers to accessing phones and data as well as communication difficulties. In primary care, traditional surveys (paper-based and online) often face low response rates that are particularly pronounced among disadvantaged groups due to financial limitations, language barriers, and time constraints.
OBJECTIVE: This study aimed to investigate the potential of SMS text message-based patient recruitment and surveys within general practices situated in lower socioeconomic areas. This study was nested within the Reducing Alcohol-Harm in General Practice project that aimed to reduce alcohol-related harm through screening in Australian general practice.
METHODS: This study follows a 2-step SMS text message data collection process. An initial SMS text message with an online survey link was sent to patients, followed by subsequent surveys every 3 months for consenting participants. Interviews were conducted with the local primary health network organization staff, the participating practice staff, and the clinicians. The qualitative data were analyzed using constructs from the Consolidated Framework for Implementation Research.
RESULTS: Out of 6 general practices, 4 were able to send SMS text messages to their patients. The initial SMS text message was sent to 8333 patients and 702 responses (8.2%) were received, most of which were not from a low-income group. This low initial response was in contrast to the improved response rate to the ongoing 3-month SMS text message surveys (55/107, 51.4% at 3 months; 29/67, 43.3% at 6 months; and 44/102, 43.1% at 9 months). We interviewed 4 general practitioners, 4 nurses, and 4 administrative staff from 5 of the different practices. Qualitative data uncovered barriers to engaging marginalized groups including limited smartphone access, limited financial capacity (telephone, internet, and Wi-Fi credit), language barriers, literacy issues, mental health conditions, and physical limitations such as manual dexterity and vision issues. Practice managers and clinicians suggested strategies to overcome these barriers, including using paper-based surveys in trusted spaces, offering assistance during survey completion, and offering honoraria to support participation.
CONCLUSIONS: While SMS text message surveys for primary care research may be useful for the broader population, additional efforts are required to ensure the representation and involvement of marginalized groups. More intensive methods such as in-person data collection may be more appropriate to capture the voice of low-income groups in primary care research.
UNASSIGNED: RR2-10.3399/BJGPO.2021.0037.

BACKGROUND: NFDI4Health is a consortium funded by the German Research Foundation to make structured health data findable and accessible internationally according to the FAIR principles. Its goal is bringing data users and Data Holding Organizations (DHOs) together. It mainly considers DHOs conducting epidemiological and public health studies or clinical trials.
METHODS: Local data hubs (LDH) are provided for such DHOs to connect decentralized local research data management within their organizations with the option of publishing shareable metadata via centralized NFDI4Health services such as the German central Health Study Hub. The LDH platform is based on FAIRDOM SEEK and provides a complete and flexible, locally controlled data and information management platform for health research data. A tailored NFDI4Health metadata schema for studies and their corresponding resources has been developed which is fully supported by the LDH software, e.g. for metadata transfer to other NFDI4Health services.
RESULTS: The SEEK platform has been technically enhanced to support extended metadata structures tailored to the needs of the user communities in addition to the existing metadata structuring of SEEK.
CONCLUSIONS: With the LDH and the MDS, the NFDI4Health provides all DHOs with a standardized and free and open source research data management platform for the FAIR exchange of structured health data.

Wildlife resources are strategic resources of a country, and the investigation of which is a key task for effective management in protection and utilization. Since the 1990s, two national surveys of terrestrial wildlife resources have been carried out in China, and the situation of wildlife resources has been known to a certain extent. Due to the complexity and difficulty of national wildlife survey, we are still not able to grasp the background and dynamics of wildlife resources as a whole promptly and effectively. The results and effectiveness of wildlife resources investigation will directly affect the decision-making related in wildlife protection. According to Law of the People\'s Republic of China on the Protection of Wildlife and Regulations of the People\'s Republic of China for the Implementation of the Protection of Terrestrial Wildlife, it is imperative to carry out the third national survey of terrestrial wildlife resources, and to be integrated with the national strategy of ecological civilization construction. The aims of this review were to summarize the earlier experiences in time, to further improve the investigation scheme and technical methods, to serve the third national survey of terrestrial wildlife resources, in addition to obtain more comprehensive and reliable data of wildlife resources, grasp the development trend of domestic wildlife resources, and provide more effective supports for the wildlife conservation in China.
野生动物资源是国家的战略性资源,对其开展资源调查是有效保护和利用管理的关键性工作。我国自1990年代以来共开展了两次全国性野生动物资源调查,在一定程度和范围上掌握了国内资源状况。但由于全国性野生动物调查的复杂性和困难性,尚未能在整体上及时有效地把握国内野生动物资源本底及其动态。野生动物资源调查成效将直接影响野生动物保护相关决策的制订。根据《中华人民共和国野生动物保护法》和《中华人民共和国陆生野生动物保护管理实施条例》要求,结合生态文明建设国家战略,开展第三次全国野生动物资源调查势在必行。本文的目的在于及时总结历史经验,进一步完善调查方案和技术方法,为全国陆生野生动物资源调查服务,以期获取更全面、可靠的野生动物资源数据,掌握我国野生动物资源发展态势,为我国野生动物保护与管理提供有力支撑。.

暂无摘要。

OBJECTIVE: Cerebral palsy (CP) is a group of neurological disorders with profound implications for children\'s development. The identification of perinatal risk factors for CP may lead to improved preventive and therapeutic strategies. This study aimed to identify the early predictors of CP using machine learning (ML).
METHODS: This is a retrospective case-control study, using data from the two population-based databases, the Slovenian National Perinatal Information System and the Slovenian Registry of Cerebral Palsy. Multiple ML algorithms were evaluated to identify the best model for predicting CP.
METHODS: This is a population-based study of CP and control subjects born into one of Slovenia\'s 14 maternity wards.
METHODS: A total of 382 CP cases, born between 2002 and 2017, were identified. Controls were selected at a control-to-case ratio of 3:1, with matched gestational age and birth multiplicity. CP cases with congenital anomalies (n=44) were excluded from the analysis. A total of 338 CP cases and 1014 controls were included in the study.
METHODS: 135 variables relating to perinatal and maternal factors.
METHODS: Receiver operating characteristic (ROC), sensitivity and specificity.
RESULTS: The stochastic gradient boosting ML model (271 cases and 812 controls) demonstrated the highest mean ROC value of 0.81 (mean sensitivity=0.46 and mean specificity=0.95). Using this model with the validation dataset (67 cases and 202 controls) resulted in an area under the ROC curve of 0.77 (mean sensitivity=0.27 and mean specificity=0.94).
CONCLUSIONS: Our final ML model using early perinatal factors could not reliably predict CP in our cohort. Future studies should evaluate models with additional factors, such as genetic and neuroimaging data.