Data Collection Research Articles

Co-designed study with the Traveller Community in Ireland to determine cancer awareness & attitudes

Abstract Background Irish Travellers are a distinct ethnic minority group (formal recognition March 2017). They experience higher mortality than the general population at all ages for all causes of death. Study Aim To determine cancer awareness and attitudes among the Traveller Community in Ireland, and to identify barriers/enablers to cancer risk reduction behaviours and early diagnosis of cancer. Methods A co-designed multi-method study was developed in collaboration with Pavee Point, a national NGO for Travellers, the National Social Inclusion Office (NSIO) and the National Cancer Control Programme (NCCP) including: 1. Consultation with Pavee Point and NSIO representatives to inform the study proposal and methodology. 2. Co-design of methodology for ethics applications and subsequent data collection plan including interview topic guides and the development of a culturally appropriate version of the NCCP’s 2022 National Survey on Cancer Awareness, adding questions on social determinants of health and screening participation. 3. Collaboration with 12 peer-led Primary Health Care for Travellers Projects (PHCTPs), to provide in-person training for Traveller Community Health Workers to undertake a cross-sectional survey of 380 adult Travellers. 4. Collaboration with PHCTPs to undertake 20 semi-structured interviews with Travellers. 5. Conduct of semi-structured interviews with healthcare professionals to explore perceptions of barriers/enablers for Travellers engaging with the health system. Lessons Learned Working closely and collaboratively with our study partners, we gained valuable insights which enabled effective and efficient data collection across 8 counties, while exceeding our survey target sample size. Implications for Research: Collaborative, trusting, and respectful relationships are critical for all studies, but particularly when working with minority groups. Conclusions The study findings will inform policy for improved cancer outcomes among Travellers in Ireland. Key messages • Formation of a collaborative and respectful relationship with the Traveller community has facilitated successful research. • Traveller Community Health Workers (peer researchers) were key to the success of data collection.

Are answers affected by data collection on paper or online? The case of Belgian adolescents

Abstract Background In the early 2000s, the prevalence estimations were compared in relation with the mode of data collection, i.e. paper or online. Following the widely spread routine use of connected devices, especially in adolescents, such a monitoring is of interest. Within the 2022 “Health Behaviour in school-aged children” survey in French-speaking primary and secondary schools of Belgium, those participating could choose between paper and online collection. Our objective was to compare a large set of indicators between the two modes after adjusting for the students’ characteristics. Methods After a two-stage random selection of schools and classes, 11,751 10-to-20-year-old adolescents completed the questionnaire either on paper or online. Descriptive analysis and comparisons were conducted using chi2 and multiple logistic regressions adjusted for the students’ sociodemographic characteristics that may vary according to the questionnaire mode. Results Overall, 54.9% of the questionnaires were completed online. The choice of the collection mode provided to the schools’ headteachers was associated with the adolescents’ characteristics. Those who completed the questionnaire online were more likely to be in secondary schools, in Wallonia, and of a more favourable socioeconomic profile. After adjustments, no difference in the indicators regarding health, well-being, substance use, or sleep duration was observed. Conversely, a difference was observed for screen time (internet ≥2h/weekday: 70.4% on paper vs. 72.3% online; adjusted P-value: 0.02), some food groups (daily vegetables: 51.2% vs. 58.0%; P-value<0.001) and body weight status (overweight including obesity: 16.7% vs. 14.0%; P-value<0.001). Conclusions In some circumstances such as data collection in the school setting, mixed modes are still necessary due to operational issues. While most indicators did not show a difference between online and paper collection, potential implications for others need to be further understood. Key messages • Collecting data through online or paper questionnaires does not lead to major differences in prevalence estimates. • With the rise of online surveys, further assessment is required to understand the potential declaration biases.

Ekplorasi Etnomatematika Kain Tenun Kampung Bokuna di Kecamatan Wewewa

In general, the North Wewewa Wewewa Woven Fabric of Bokuna Village is passed down from the ancestors and followed until now this Woven Fabric has beautiful motifs made based on daily life and also from nature. Ethnomathematics is a bridge between culture and mathematics, ethmomathematics is adapted by cultural groups to see that the culture contains mathematical aspects. This research aims to find out the concept of geometry in Woven Fabrics. The data collected is in the form of documentation, interviews, and observation results. The type of research used in qualitative descriptive is to describe the mathematical elements contained in woven fabrics. Data collection uses observation and interviews. Data analysis is carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawing. The results of the analysis show that Woven Fabrics are sacred crafts that are inherited from ancestors or from generation to generation. In the study, the researcher found several one-dimensional and two-dimensional buildings. The geometric shapes found by the researcher are: rectangular shape on the entire shape of the woven fabric, an equilateral triangle shape on the mamuli motif, an isosceles triangle shape on the flower motif, a bele ketupat shape on the star motif, a rectangular shape on the entire woven fabric, a square shape on the butterfly motif

Representativeness of disadvantaged pupils in a trial to improve beverage consumption in Belgium

Abstract Background The cluster-randomized controlled trial DRINK was implemented in 2021 to evaluate the effect of interventions aimed at reducing sweetened beverages and increasing tap water consumption among children in French-speaking primary schools in Belgium. Multiple participation issues related to the implementation in the school setting were encountered. Our aim was to describe the individual characteristics of pupils at baseline and their participation in the data collection. Methods In 2021, out of a sample of 168 schools stratified by region and socioeconomic index (SEI), 46 were included. Children in grades 3 to 5 were asked to complete a 4-day diary to record all beverages consumed. Questionnaires were completed by children and parents, from which individual characteristics were summarised, such as the Family Affluence Scale (FAS; in three groups). Results School participation (overall: 29.0%) was higher in Wallonia (33.0%) than in Brussels (22.0%), and in schools with an intermediate SEI (33.0%). At baseline, a total of 3,631 children participated in the data collection, either through the 4-day diary, the child questionnaire, or the parent questionnaire; 2,013 completed all three instruments. Participating children were more likely to be girls, to have an intermediate FAS, to be born in Belgium, and to have two working parents. The proportion of children attending schools in the Brussels region was 27.9% of the total participating children and dropped to 11.5% for those who returned three valid questionnaires. The proportions of low FAS (14.4% to 11.8%), birth outside Belgium (11.8% to 8.7%), and low parents’ schooling (35.3% to 33.8%) were lower among children who completed the three instruments. Conclusions The low participation of Brussels schools, possibly exacerbated by the Covid-19 impact, may explain why disadvantaged children were less represented in the baseline sample. Such knowledge is valuable for interpreting the findings of such a trial. Key messages • Participation issues may have affected the representativeness of less advantaged children. • Documenting such disparities is key to understanding the context in which interventions were implemented.

Prediction of mental health risk in adolescents via a smartphone app: a feasibility pilot study

Abstract Background The prevalence of mental health problems in adolescents is a global public health concern. Machine learning (ML) can analyse multidimensional data collected by phone sensors (passive tracking) and symptom self-reporting (active tracking) to model and predict mental health states. However, research in adolescents is lacking. This study investigated the feasibility of using ML to predict mental health in a non-clinical population of adolescents from active and passive data collected through the Mindcraft mobile app. Methods We recruited 103 secondary students (aged 14-18) who first completed the Strengths and Difficulties Questionnaire (SDQ) and then used the Mindcraft app for two weeks. The app integrates sensor data (location, steps, noise, light, battery, app usage) and self-reports. We extracted 85 sensor-based features and 19 from questionnaires to develop a gradient-boosted ensemble ML model. This model identifies students with abnormal SDQ scores and was evaluated using leave-one-out cross-validation. Results All students completed the active questionnaires; 67 also provided passive sensor data. 31 had abnormal SDQ scores. Using passive data, the ML model reached a balanced accuracy of 0.64 and an AUC score of 0.57. Incorporating both data types improved accuracy to 0.67 and AUC to 0.70. Feature importance scores showed step count and questionnaire on racing thoughts and hopefulness as most significant. Conclusions Our findings affirm the potential of integrating passive and active data collection to monitor mental health in real-world settings. Our ML model demonstrated moderate accuracy in predicting adolescents’ mental health risk measured with a behavioural screening questionnaire. This study will guide the development of a ML-driven, personalised mobile intervention for early symptom detection and mental health self-management, which might constitute an innovative and scalable tool for mental health prevention and intervention in adolescents. Key messages • This study shows the feasibility of using active and passive data to predict mental health risk in adolescents. • This study informs the development of a personalised machine learning-driven mobile intervention.

Mental health literacy in German teachers – What do they know? What do they need?

Abstract Background Preventing mental health problems and promoting mental wellbeing is the aim of school-based mental health literacy (MHL) programs. Previous research suggests that good MHL (knowledge and skills regarding mental health, resilience, and help-seeking) helps people to take good care of their own and others’ mental health and use support-services. In this context the MHL of teachers is highly relevant, as they act as role models and interact with affected pupils on a regular basis, for which certain knowledge and skills are necessary. In this study, we therefore seek to investigate the level of MHL in German high-school teachers as well as their exposure to impaired students and their desire for further education on pupils’ mental health. Methods The data are collected as part of an effectiveness study of a school-based intervention to strengthen MHL (BEWARE), which was developed by our working group. We collect data from teachers who are involved in BEWARE as coaches as well as from those not directly involved (n ≈ 300). Data collection takes place online at three measurement timepoints (6 months apart each). For the analysis presented here, data of the first measurement timepoint with respect to MHL, skills in handling affected students and wishes for additional education on pupils’ mental health are included. Results As the data collection is still ongoing, statistical analyses are not yet completed. We will present data on the current state of knowledge on MHL in German teachers as well as their abilities to deal with affected pupils and their wish for further education. In addition, we will relate the number of affected pupils they teach to depict the relevance in their daily life at school to the above-mentioned measures. Conclusions The acquired data and respective analyses will give us important insights about the objective and subjective need of MHL training in schoolteachers (based on assessed knowledge and their reported wish of additional education). Key messages • Our study will give us important insights about the objective need of MHL training in high-school teachers based on assessed knowledge. • Our results will depict which formats of training teachers would prefer for additional education on pupils’ mental health, which will be a valuable basis for the development of future programs.

What to expect when generating data through the use of a mobile health application

Abstract Background Digitalization has significantly expanded the possibilities for collecting health data. Besides options such as online surveys, data can be collected through the use of digital applications (apps). Once users have given their consent, contact information from the app registration can be accessed to invite the relevant target group for further surveys. To generate a sufficient amount of data, a high level of willingness to participate and long-term involvement are required. This study aims to illustrate the willingness to share data and what can be expected from it by means of the Neo-MILK app, which supports mothers during lactation. Methods The willingness to share data and the data resulting from the use of the app is shown by the frequency of consent to the different data use options and the users’ participation. Results While over 68% of the n = 1079 registered app users consented to the use of their app data, 47% agreed to be contacted again for scientific purposes. Data from n = 421 active users were available for analysis. From n = 220 mothers, milk pumping data was available. In 36% of cases, little (<10) or no information on pumping was provided. Of the users who agreed to be contacted again for scientific purposes, n = 300 were invited to participate in another survey and 23% (n = 69) participated. Conclusions In this example, the general willingness to share data and participate in further studies shows great potential for data collection. However, the data collection methods differ primarily in the motivation to participate. When collecting data through app usage, ensuring that the design of the app meets the needs of the user is essential to optimize the user experience and thereby generating complete data. If the use of contact information has been agreed to, incentives may be considered to increase the willingness to participate. Required ethics approvals and data protection regulations should also be ensured for app-based data collection. Key messages • Generating data via app usage as well as the collection of data through the use of users’ contact information shows great potential for health research. • App-based data collection should be considered when planning future health research projects.

Fighting HAIs by monitoring hand hygiene compliance in the Umberto I teaching Hospital in Rome

Abstract Background Healthcare-associated infections (HAIs) are one of the most common preventable complications in hospitalised patients related to increased morbidity and mortality for patients. Proper hand hygiene (HH) can decrease the prevalence of HAIs within care settings. The aim of the study was to evaluate the effects of a monitoring and feedback system on HH compliance (HHC). Methods Three monitoring and feedback studies have been carried out in Umberto I teaching hospital of Rome since 2021. Healthcare workers (HCWs), were trained on how to carry out the direct observation on the 5 WHO moments on HH. The data collection lasted two weeks each year. Following data collection, they were analysed and discussed annually with HCWs. A multivariable logistic regression model was constructed to identify predictors of HH compliance. Results A total of 15874 HH were observed, of which 40.1% in 2023. The recorded HHC was 71.0% in 2021, 75.4% in 2022 and 71.6% in 2023. Multivariable analyses showed that HHC was positively associated with female sex of observed (aOR:1.3, 95% CI:1.1-1.4), during weekend days or holidays (aOR:1.3 95% CI:1.1-1.4) and all indications with respect to ‘before touching a patient’. Regarding the professional category of the observer, compared to physicians, midwives were more likely to report compliant observations (aOR=2.4, 95% CI: 1.4-4.1). On the other hand, a negative association was found with external ward staff and other HCWs and no-HCWs compared to physicians. Ward area and year of observation did not influence the probability of the outcome. Conclusions The results of this study revealed sub-optimal adherence to HH, with the lowest rates observed prior to patient interaction. That, coupled with the variability seen among HCWs, underlines the difficulties in achieving a uniform level of compliance. Therefore, ongoing training to raise awareness among HCWs and to repeat the survey over time identifying any major problems is essential. Key messages • Monitoring the reasons for non-adherence to hand hygiene in healthcare institutions in order to formulate strategies to improve HH adherence among hospital staff is essential. • Hand hygiene (HH) monitoring systems can produce measurable improvements in HH adherence by healthcare personnel, resulting in a reduction in the incidence of healthcare-associated infections.

Pemberdayaan Ibu Rumah Tangga Melalui Kelompok Menjahit Deta dan Batik Kajang Padati di Kota Padang

This research is motivated by the empowerment of sewing training for housewives conducted by the Padang City DPRD in the last 2 years, the sewing training empowerment is one of the main points of thought of members of the Padang City Regional House of Representatives, but the training runs for 1 week and then is continued by the Deta sewing group voluntarily. However, over time the trainees have earned income from opening a business at home. The Actors involved make it interesting to research. The purpose of this study was to describe the strategy of empowering housewives through the Deta Sewing and Batik Kajang Padati groups in Padang City. This research uses a qualitative approach with a descriptive type, and the informant of this research is done by taking informants through purposive sampling technique, namely by looking for informants who match the criteria set by the researcher. The data collection method starts from the in-depth interview stage, observation and document data collection. The unit of analysis in this study is in the group, namely the deta sewing group and sewing empowerment participants in Padang City. Data analysis is carried out from several stages, namely data collection, data reduction, data presentation and conclusion drawing called the Miles and Hubermen model. The results of this study show that the sewing empowerment program in Padang City shows a positive impact in improving the skills and economy of housewives. Support, opportunities, and clear responsibilities, as well as the application of the ACTORS theory, are critical to the success of the program. The strategies used in the sewing empowerment program involve needs identification, training planning and implementation, collaboration with institutions, and ongoing support and evaluation to improve the skills, economic well-being, and social contribution of housewives.

EUTANÁSIA: O ELO ENTRE UM FIM DE VIDA DIGNA E SUA RESTRIÇÃO LEGAL

This study analyzes the role of euthanasia as a way of guaranteeing a dignified end of life and the legal restrictions that this practice faces in Brazil. The central problem is to understand how legal restrictions on euthanasia impact the search for a dignified end of life and respect for the patient's autonomy? The general objective of this study is to analyze the relationship between the concept of euthanasia, the search for a dignified end of life and the legal restrictions imposed in different social, cultural and legal contexts. The choice of topic is part of the growing discussion about the right to choose for terminally ill patients in countries where euthanasia is legalized, contrasting with the Brazilian scenario, where the practice is criminalized. In this context, the tensions between the patient's autonomy, unbearable suffering and the value of life according to the national legal system will be addressed. The methodology used is qualitative and bibliographic in nature, with the analysis legislation, relevant judicial decisions, and the collection of data on the public and academic perception of euthanasia. Furthermore, legal doctrines dealing with bioethics and the right to life will be presented, with the aim of offering a critical reflection on the dilemmas involved in this debate.

What Makes a Home.Evaluating a Novel Low Support Homeless Accommodation Model Using Co-design Methods

Abstract Background Homelessness is a global challenge, with a prevalence of 4%; the problem is underestimated due to limitations in data collection. In Ireland, 1% of the population, including children, adults, and families, experience homelessness due to housing shortages and systemic complexities. Homeless accommodation is defined as emergency and temporary; the wording is used interchangeably. The ETHOS typology of homelessness comprises two dimensions - housing-focused and support-focused. Supports range from high to low levels. This study evaluated an emergency housing accommodation with low support to assess its feasibility and impact. Methods Previous residents of an urban residential area with low support [introduced in August 2021] and key stakeholders, including policymakers and health and social care professionals, were invited to collaborate in a half-day co-design workshop [February 2024]. The workshop modified Stanford D’s five-stage design thinking processes to consider ‘How might we harness strengths and abilities to create a home and beyond’. Qualitative data were captured on flip charts, post-its, and via photographs over three rounds of activities following initial reflection regarding 1) identifying emerging challenges, 2) exploring potential solutions, and 3) considering resources for advocacy and success. Results Data analyses from 16 participants highlight 1)Personal insights: silence, freedom in decision-making, feeling overwhelmed, valuing independence and understanding accommodation transitions; 2)Organisational insights: developing and promoting independent skills, managing resident preferences and personalities, balancing regulations within emergency accommodation, and staff training. Space was critical in fostering therapeutic well-being and a sense of home environment. Conclusions Effective organisational structures are required to facilitate coherent transfers and transitions. Using co-design methods enabled real-world partnerships and engagement. Key messages • Homelessness is a significant public health challenge, and a model of low support emergency accommodation has value in supporting transition through and out of services. • Engaging with people with lived experience of homelessness is essential for developing supported accommodation models.

Impact of COVID-19 on Management, Quality and Satisfaction of Health Organizations

Abstract The hospital health care professionals are the frontline fighting COVID-19 considering they are responsible for all the care provided to patients during all the time they spend at the hospital for diagnosis, treatment or recovering of the COVID-19 disease and other diseases. The purpose of this study was to determine the impact of COViD-19 at the hospital management level and, also, to understand how psychosocial environment, and satisfaction of Health Professionals were affected. A case study was performed in a Portuguese Hospital. Data were collected at one hospital under study at two different occasions: the first before the pandemic (November 2019) and the second almost two years after the pandemic started (November 2021). Regarding data collection, 37.0% of participants responded in the occasion 1 (n = 296) and 63.0% responded in the occasion 2 (n = 503). The instrument for the Assessment of Global Management of Health Organizations (AGMHO) Comparing timings pre and during pandemic COVID-19, it was found that the participants in the pre- COVID-19 era showed stronger organizational culture, higher quality of life, better psychosocial environment regarding content/leadership and higher job satisfaction when compared to the participants during pandemic COVID-19. On the other hand, participants in the second occasion were found to have higher psychosocial risks related to mental health when compared to participants in the pre- COVID-19 phase. The results obtained allow us to identify priorities in terms of promoting well-being and satisfaction of professionals and overall wellbeing of the health organization, namely intervention in leadership relationships and psychosocial risks at work related to the physical and psychological demands of work, stress management and a more active and involved role for the professional. Key messages • This knowledge facilitates labelling and prioritizing the promotion of well-being and satisfaction of professionals and overall wellbeing of the health organization. • The product is a comprehensive diagnostic model of the factors influencing the results in health organizations.

Systematic review of ethical/methodological issues in transgender youth participative research

Abstract Background Understanding the experiences of transgender and gender-diverse (TGD) youth is essential for developing appropriate support services. However, studies focusing on TGD youth under 18 outside clinical settings are scarce, limiting effective support development. The requirement for parental consent in participatory research poses ethical and logistical challenges, impacting the safety, well-being, and privacy of adolescent participants. This dynamic complicates the balance between adolescents’ rights to autonomy and privacy and parental duties to protect their children. This review aims to illuminate the ethical and methodological challenges in participatory research with TGD youth. Methods A systematic review of bibliometric databases from 2006 to 2022 was conducted, focusing on transgender and gender non-conforming identities, adolescence, qualitative and participatory research methods, and consent issues. This review was registered with PROSPERO in November 2022 (CRD42022368360). Results Of 3,794 articles initially identified, 291 met the inclusion criteria, and 48 were extensively reviewed. Research with TGD youth commonly faces ethical tensions including parental inclusion in the consent process, safeguarding participant safety and privacy, ensuring confidentiality, and creating environments that allow TGD youth to express themselves and feel empowered. Methodological challenges include engaging public and stakeholders, recruiting participants, data collection, and maintaining research integrity. Conclusion & Implications The literature on participatory research with young transgender and gender-diverse individuals reveals intricate and often conflicting issues related to consent procedures, power dynamics, and the researcher’s role. These findings are applicable in various legal and geographical contexts, providing insights that can guide practices globally. Key messages • Research reveals ethical dilemmas in participatory research with transgender young people, highlighting difficulties around consent and the need for tailored support. • Understanding the complexities of research ethics enables better support for transgender and gender-diverse young people during research.

Automatic Negation Detection for Semantic Analysis in Arabic Hotel Reviews Through Lexical and Structural Features: A Supervised Classification

One significant challenge in sentiment analysis is the presence of negation, which reverses the meanings of sentences, transformingpositive statements into negative ones and impacting the sentiment conveyed in the text. This issue is particularly pronounced in Arabic, a language known for its complex morphology. Detecting negation is crucial for enhancing sentiment analysis performance and various natural language processing applications. This paper presents an approach for automatically detecting negation in user-generated Arabic hotel reviews through lexical and structural features. It comprises several stages: data collection, text pre-processing, feature extraction, supervised learning classification, and evaluation. The study employed multiple supervised classification techniques, including naïve Bayes, random forest, logistic regression, support vector machines, and deep learning, to analyse lexical and structural features extracted from the dataset. The results of the experiments yielded promising outcomes, demonstrating the feasibility of the approach for practical applications. The classifiers exhibited highly comparable performance in identifying negation, with only marginal deviations in their performance metrics. Notably, the deep learning classifier consistently emerged as the top performer, achieving an exceptionally high overall accuracy rate of 99.24 percent, surpassing established benchmarks in Arabic text processing and underscoring its potential for practical applications. These findings hold significant implications for advancing Arabic text processing, particularly in sentiment analysis and related NLP tasks. The high accuracy of 99.24 percent achieved by the deep learning classifier highlights its robustness in accurately detecting negation, a critical challenge in sentiment analysis. This classifier performance demonstrates the potential to be integrated into real-world applications, such as automated review systems and opinion mining tools, where accurate sentiment interpretation is essential.

Secure low-cost photovoltaic monitoring system based on LoRaWAN network and artificial intelligence

The advanced study will focus on developing a secure and cost-effective photovoltaic monitoring system using Long Range Wide Area Network (LoRaWAN) and Artificial Intelligence technologies for highly risky missions. With the world shifting to using renewable energy, the development of secure and efficient cost-effective monitoring systems for photovoltaic installations becomes very important. However, most of the solutions in use for PV installation monitoring are characterized by high costs, hence their limited use, especially in developing regions. In this regard, the present work presents country-specific protocols designed for the country of Turkey. The proposed system in this study is expected to offer real-time monitoring and data collection at a very meager cost by utilizing inexpensive microcontrollers and sensors. The accuracy rate demonstrated by the research is highly above board: 97.65%. It costs $210, with a very low power consumption of 0.5W and a range of 10 km. The major features underpin real-time monitoring with wide area coverage for effectiveness and efficiency in PVs monitoring. Test results in many places around Turkey have turned out reliable and accurate to justify a possible reduction in operational costs without compromising the quality of data received. This design is reinforced by a detailed mathematical model that assures one of its thorough analysis in performance. There is custom-built firmware that enhances communication efficiency and ensures data integrity in implementation. Comparative studies carried out with existing technologies indicate that the proposed system is cost-effective and operationally sound. This work gives a scalable, low-cost solution that probably might raise the uptake of PV systems in economically constrained areas.

Pengolahan Tamagiri Nasi Uduk Buah Naga pada Resto Kebun Naga Poernama Garut

The purpose of this innovation is to add to the menu at Resto kebun Naga Poernama. Data collection was carried out by organoleptic tests on 25 people conducted by lecturers, industry and consumers. Based on the tabulation of organoleptic test data, the author can conclude that the Dragon Fruit Uduk Rice at Resto Kebun Naga Poernama. from the results of the calculation on the level of liking obtained the value in the main test as follows: appearance 80% (very like), 20% (like). Color 68% (very like), 32% (like). Aroma 44% (very like). 56% (like). Texture 76% (like), 24% (like). Taste 84% (like very much), 16% (like). Taste 80% (really like), 20% (like). so it is stated that Tamagiri Dragon Fruit Shrimp Rice is liked and acceptable by panelists. After obtaining the results of the Break Event Point calculation, it is concluded that for 1 portion of Tamagiri Dragon Fruit Shrimp Rice, it is Rp.6,075, while the selling price per portion is Rp.16,000 with a food cost of 37%, BEP of 166 pcs, fixed cost of Rp. 1,500,000 and it is concluded that in order to get a target margin of Rp. 2,000,000,- / month, it must sell as many as 388 pcs / month or 13pcs / day. The author's suggestion for future researchers is to make eggshells that are not fishy and add more varied fillings.

Exploring Stakeholder Perspectives on the Implementation of WHO iSupport for Dementia Program: A Qualitative Study.

To explore the stakeholders' perspectives and develop a conceptual framework for promotion strategies to implement the iSupport-based intervention for family caregivers of people with dementia. A descriptive qualitative design was adopted. Semi-structured interviews were conducted with 49 stakeholders of people with dementia from July to December 2023. The Consolidated Framework for Implementation Research was applied to guide the development of the interview guide, data collection and analysis. Directed content analysis was employed to identify facilitators and barriers, with data analysed based on the framework and the established its codebook. These findings were then summarised into a conceptual framework of critical components. The identified 16 barriers and 28 facilitators were distributed across all Consolidated Framework for Implementation Research domains. All facilitators and barriers were integrated into a conceptual framework guiding the implementation of iSupport. This four-tier, eight-component conceptual framework guides the global promotion of the web-based dementia care model, covering state, society, hospitals, individuals and strategies. The components included comprehensive and balanced national medical guidelines, a friendly social culture, adequate hospital collaboration, cooperative healthcare workers, responsible family caregivers, a comprehensive intervention system, appropriate learning content and digital health support. The 'iSupport for Dementia' program is seen positively for its potential to improve dementia care by providing mental and technical support to family caregivers. Successful implementation requires addressing barriers, enhancing facilitators and adapting to China's conditions and policies. Mobilising local healthcare resources and gaining stakeholder recognition is crucial. This approach may help develop a localised version of iSupport that suits the needs and habits of Chinese family caregivers, with the potential for broader dissemination. The 'iSupport for Dementia' program could greatly improve dementia care in China by addressing barriers and utilising facilitators. This study offers critical insights for future policy development and effective implementation strategies. Adherence to the COREQ guidelines for reporting qualitative research was maintained. No patient or public contribution.

Uncovering the health system burden of pneumococcal infections in adult and elderly populations

Abstract Background Health system resources dedicated to vaccination and infectious disease prevention are often directed towards infants and children, through extensive childhood vaccination schedules. This focus has led to the near eradication of several preventable childhood diseases and had positive impacts on population health, but despite this track record of success, the ability of our health systems to make vaccinations accessible throughout the full life course has been less consistent. This project aims to address this issue by providing new data about the burden that pneumococcal infections, which are vaccine-preventable, have on adult and elderly populations. Methods This research aims to uncover the health system burden of invasive pneumococcal disease and pneumococcal pneumonia at all levels of the health system in 5 EU countries (Austria, Belgium, France, Italy & Portugal). This involves a survey of managers and care providers working in hospitals, long-term care facilities, and primary care centres who may be affected by the health system impacts of pneumococcal infections. The survey covers several dimensions of health service delivery to collect a broad range of data on existing disruptions. The survey was translated into the study country languages and its formulation was further validated through interviews with experts in each study country to ensure that it can capture context-specific health system insights. The data collected through this survey will be further enhanced through a series of in-depth interviews before being synthesised, analysed and eventually published in a detailed report. Results Data collection begins as of 15 May 2024, and full results are expected to be published and available for the EPH Conference in November 2024. The results of this research will offer valuable evidence to public health professionals, health managers and policy-makers across Europe who are working to improve life-course access to pneumococcal vaccination. Key messages • Effective vaccination programmes for adult and elderly populations require expanding focus beyond childhood. • Data about the health system burden of pneumococcal infections in adult and elderly populations improves evidence-based decision-making and public health services.

Evaluation of the Beneficial Parenting Partnership Model Assimilation in Parent-Infant Centers

Abstract Background The Beneficial Parenting Partnership (BPP) model is being implemented in Parent-Infant Centers (PIC) across Israel to improve the partnership skills of PIC nurses when working with parents, promote child development, and enhance parental well-being. This initiative is being led by the Israeli Ministry of Health, Goshen NGO, and Lotem company and is supported by the Yad Hanadiv and Bernard van Lear foundations. Methods The first data collection (T1) was held from December 2022 to January 2023 among 706 parents of children aged two weeks to 36 months (M = 8.17 months, SD = 7.48) who visited one of 18 PICs. Research assistants approached the parents and asked for their agreement to fill in the study questionnaire. Of these, 328 parents agreed to participate in the follow-up study (T2) held in January-February 2024 using a telephone survey. Differences in the parent’s satisfaction, visit experience, and parental well-being were assessed using parried sample T-tests. A linear regression model was calculated to assess the factors predicting the increase in the parent’s visit satisfaction. Results Significant differences were measured between T1 and T2 in parental satisfaction (M = 4.51 and 4.71 retrospectively, P < 0.001), parental positive visit experience (M = 4.58 and 4.68 retrospectively, P = 0.019), and parental well-being (M = 3.81 and 3.97 retrospectively, P < 0.001). Findings suggest a marked improvement in satisfaction, visit experience, and reported well-being after a year of BPP model assimilation among PIC nurses. The regression model, explaining 42% of the variance in increased parental satisfaction, indicated that a higher increase could be predicted by a higher increase in positive visit experience and a higher trust level in the PIC nurse at T1. Conclusions The BPP model’s assimilation among Israeli PIC nurses was successful, resulting in improved parent experience, satisfaction, and well-being. Key messages • The Beneficial Parenting Partnership model is well-suited for implementation among nurses working with parents of babies and toddlers to promote collaborative nurse-parent communication. • During routine meetings at Parent-Infant Centers, nurses can act as a catalyst for promoting parental well-being.

Correlation of the TTQ (Tartil and Tahfidz Al-Qur'an) Program and Learning Outcomes of Students in Al-Qur'an Hadith Subjects at MTs Mutaallimin Patokbeusi Subang Regency

The Koran is the main source of law in the teachings of the Islamic religion. The Qur'an is the best reading material and reading it is a form of worship. This research aims to determine the relationship between the TTQ (Tartil and Tahfidz Al-Qur'an) program and the learning outcomes of students in Al-Qur'an hadith subjects. This research uses a quantitative approach with a correlation design carried out at MTs Mutaallimin Patokbeusi, Bandung Regency. And the data collection used is tests and document studies. The research results show that the sig value that connects TTQ learning outcomes and Al-Qur'an Hadith learning outcomes is 0.000. This sig value is smaller than 0.05 so Ho is rejected or H1 is accepted, and it can be concluded that "there is a relationship (correlation) between TTQ Learning Results and Qur'an Hadith Learning Results" or in other words "TTQ Learning Results influence or influence Qur'an Hadith Results”.