Service Model Research Articles

“Plaster solutions” – Providing support for children residing in emergency housing motels in Hamilton, Aotearoa New Zealand

Since the COVID-19 pandemic, motels have become increasingly used as sites for emergency accommodation in Aotearoa New Zealand. Consequently, children now reside in motel rooms intended for seven day emergency stays for much longer periods of time. Ten key-informant interviews were conducted with service providers supporting children residing in motels in the Waikato region. Thematic analysis generated five themes relating to child wellbeing: 1.) Living conditions, 2.) Physical and psychological safety, 3.) Inappropriateness of existing service models, 4.) Disjointed collaboration between service providers, and 5.) Imagining emergency motels as a “site to build strengths”. The findings suggest the motel environment restricted children’s access to nutrition, safe physical activity and health care. In addition, proximity to adult residents could increase exposure to adverse experiences. Participants suggested creative ways to collaborate and use motel facilities to build family strengths. However ultimately, long stays in emergency housing motels create an environment where systemic barriers to child health, development and education are likely to be entrenched rather than alleviated. Initiatives that significantly reduce the time children spend in motels, and appropriate support for children in these contexts are urgently required to prevent widening health inequities for the “motel generation”.

Construction and Innovative Exploration of Personalized Learning Systems in the Context of Educational Data Mining

This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using multimodal data fusion techniques, the study conduct exploratory analyses on various data types, including learner academic performance, psychological assessments, learning behavior, and physiological information. This leads to the construction of a personalized education learning support service model. The model focuses on objectives such as monitoring learning behavior, identifying preferences, recognizing abilities, optimizing paths, and recommending resources. The goal is to provide learners with sustained support services throughout the personalized learning process, addressing individual needs, fostering enthusiasm, and maintaining long-term motivation.

Acute frailty services: results of a national day of care survey

IntroductionOlder people living with frailty are at high risk of emergency hospital admission and often have complex care needs which may not be adequately met by conventional models of acute care. This has driven the introduction of adaptations to acute care pathways designed to improve outcomes in this patient group. The identification of differences in the organisational approach to frailty may highlight opportunities for quality improvement.MethodsThe Society for Acute Medicine Benchmarking audit is a national service evaluation which uses a single day-of-care methodology to record patient and organisational level data. All acute hospitals in the United Kingdom are eligible to participate. Emergency admissions referred to acute medical services between 00:00 and 23:59 on Thursday 23rd June 2022 were recorded. Information on the structure and operational design of acute frailty services was collected. The use of a validated frailty assessment tool, clinical frailty scale within the first 24 h of admission, assessment by an acute frailty service and clinical outcomes were reported in patients aged 70 year and above. A mixed effect generalised linear model was used to determine factors associated same-day discharge without overnight stay in patients with frailty.ResultsA total of 152 hospitals participated. There was significant heterogeneity in the operational design and staffing model of acute frailty services. The presence of an acute frailty unit was reported in 57 (42.2%) hospitals. The use of validated frailty assessment tools was reported in 117 (90.0%) hospitals, of which 107 (91.5%) used the clinical frailty scale. Patient-level data were recorded for 3604 patients aged 70 years and above. At the patient level, 1626 (45.1%) were assessed using a validated tool during the admission process. Assessment by acute frailty services was associated with an increased likelihood of same-day discharge (adjusted OR 1.55, 95%CI 1.03- 2.39).ConclusionThere is significant variation in the provision of acute frailty services. Frailty-related policies and services are common at the organisational level but implemented inconsistently at the patient level. Older people with frailty or geriatric syndromes assessed by acute frailty services were more likely to be discharged without the need for overnight bed-based admission.

The Impact of Data Federation Technology on Supply Chain Financing Based on Dynamic Evolutionary Game Analysis

Digital technology has been applied in supply chain financing(SCF), which ensures small and medium-sized enterprises (SMEs) have significantly better access to get loans. Digital SCF is established on the basis that financing companies need to provide global data to the financial service providers. However, some enterprises may be unwilling to share information for financing suppliers due to data security which affects the development of such new SCF pattern. In this paper, we propose a solution scheme based on data federation technology and evaluate the feasibility of data federation technology in SCF by dynamic evolutionary game analysis. A trustworthy financing service model is established based on data federation technology and the model highlights the characteristic of data availability but invisibility. Evolutionary simulation analysis was conducted on factors that affect data federation technology applied in SCF. The findings indicate that SMEs can get effective financial services if we use data federation technology to enhance the mutual data trust between the two parties.

Pilot study of implementing Managing and Adapting Practice in a German psychotherapy master’s program

Despite a significant accumulation of research, there has been little systemic implementation of evidence-based practices (EBP) in youth mental health care. The fragmentation of the evidence base complicates implementation efforts. In light of this challenge, we sought to pilot a system that consolidates and coordinates the entire evidence base in a single direct service model (i.e., Managing and Adapting Practice; MAP) in the context of a legal reform of psychotherapy training in Germany. This pilot study aimed to evaluate the feasibility of the implementation of MAP into the curriculum of the reformed German master's program. Eligible participants were students in the master’s program at Philipps-University Marburg during the winter-term 2022/2023. Students first learned about MAP through introductions and role plays (seminar 1), followed by actively planning and conducting interventions using MAP resources for patients in a case seminar under supervision (seminar 2). A repeated-measures survey was conducted to investigate students’ knowledge gains, perception of MAP and changes in their self-rated confidence to use EBP. Results indicated that students perceive MAP to be manageable to learn. Positive progress was achieved with regard to their knowledge and self-reported confidence to use EBP, although interpretation and generalization of the results are limited by small and homogeneous samples, lack of statistical power and missing comparison groups. The feasibility of the implementation and suitability of measures are discussed. Important implications could be drawn with regard to future investigations.

A rendőrök lelkipásztori ellátása Európán kívül

The author provides an overview of catholic pastoral care service models for police officers outside Europe.

Research on the Acceptance of Crowdsourced Translation Platform Technologies by Translators

In the current era marked by rapid digitalization and globalization, crowdsourced translation platforms have emerged as key players in the global translation market, prized for their flexibility and efficiency. This new model of translation services not only provides a means to address large-scale translation demands but also introduces challenges and shifts in conventional translation workflows. This study investigates translators’ acceptance of paid crowdsourced translation platform technologies, with the aim of identifying the primary factors that influence technology acceptance and understanding how these factors impact translators’ work attitudes and behaviors. Through a mixed-methods approach that integrates surveys and in-depth interviews, the study gathers data from 300 translators with varied experiences and backgrounds. Utilizing the Technology Acceptance Model (TAM), the research reveals the significant effects of perceived usefulness and perceived ease of use on translators’ acceptance of technology. It is particularly noteworthy that translators show a high sensitivity to their perceptions of the platforms’ efficiency and potential changes in their income. Furthermore, job satisfaction emerges as a key factor in determining translators’ willingness to continue using crowdsourced platforms. This research not only provides insights into how to enhance the relationship between crowdsourced translation platforms and translators but also offers valuable recommendations for the advancement of translation education and the professional development of translators.

Bridging Research and Resources: Bibliometric Analysis of International Journal of Research in Special Education as a Library Service Model

The International Journal of Research in Special Education is an established publication that centers on research in education. Between 2021 and 2023, it released 59 research papers, which underwent examination for authorship, article structures, content themes, and academic attributes. The key research domains of the journal encompass research analysis, academic communication, library services, and administration. The analysis unveiled collaboration among authors, enriching its readership. Content analysis techniques were utilized to delve into facets of the journal publications. These results highlight how the journal has an impact and contributes to discussions in special education research. This examination deepens our insight into the publication trends and scholarly aspects that define the journal's influence on its audience. This kind of library service or facility is useful for library users to conduct their further research.

Implementation of the Macao dementia policy: a scoping review for the way forward.

The implementation of dementia policy is a complex process of translating policy goals to actions to address the changing needs of people living with dementia. Leveraging on others' experiences would help policy decision-makers and actors better prepare for the challenges. This study explored the development, the implementation and the impact of the dementia policy in Macao, a "role model" recognized by the Alzheimer's Disease International. A scoping review of policies, strategies, and news articles, as well as scholarly work from 6 scientific databases dated till March 2023 was conducted under the guidance of the Health Policy Triangle Framework. According to 284 documents, the dementia policy in Macao, driven by government leadership and supported with public-private partnership, aimed to integrate health and social services to achieve the goals of "Early prevention, Early detection, Early diagnosis, Early treatment and Early support." Promoting the preparedness according to the dementia burden trajectory, empowering the public and the service providers with training and education, and encouraging services-related research were among the key actions. With major changes in dementia care configuration, a dementia service network, a dementia-friendly community and a one-stop service model for disease screening, diagnosis, treatment and support have been developed. Reconfiguring existing resources in the health and social services to form an integrated service network at the community level could be considered a priority of action. Continuous engagement, collaboration and empowerment at different levels across these sectors is crucial for the sustainability of a dementia policy.

'In our culture, we come when you die': Qualitative descriptive analysis of end-of-life perspectives in a reservation-based community.

To explore (1) perspectives and attitudes of Native Americans regarding transitions from serious illness to death, and (2) awareness about hospice and palliative care service models in a Great Plains reservation-based community. Qualitative descriptive study. Community members and clinicians were invited to participate in a semi-structured focus group or interview by Tribal Advisory Board members. Analysis involved three phases: (1) qualitative descriptive analysis of preliminary themes using the Addressing Palliative Care Disparities conceptual model; (2) a cultural review of the data; and (3) reflexive thematic analysis to synthesize findings. Twenty-six participants engaged in two focus groups (n = 5-6 participants in each) and interviews (n = 15). Four themes were derived from their stories: (1) family connectedness is always priority; (2) end-of-life support is a community-wide effort; (3) everyone must grieve in their own way to heal; and (4) support needs from outside the community. Findings highlight cultural considerations spanning the life course. Clinicians, researchers and traditional wisdom keepers and practitioners, particularly those working in rural and/or reservation-based settings, must provide culturally safe care. This must include acknowledging and prioritizing the needs and preferences of Native American patients and the impact on their families and communities. Leveraging community assets, such as family and social networks, is key for supporting Native American patients with serious illnesses. Additionally, facilitating greater family and caregiver involvement along a patient's care trajectory may be a pathway for easing health care workers' caseloads in reservation-based areas, where resources are limited. The Consolidated Criteria for Reporting Qualitative Research (COREQ) guideline was used. The study was ideated based on community insight. Tribal Advisory Board members oversaw all aspects including recruitment, data acquisition, interpretation of findings and tribal data dissemination.

Optimising a digitally delivered behavioural weight loss programme: study protocol for a factorial cluster randomised controlled trial

BackgroundDigitally delivered weight loss programmes can provide a convenient, potentially cheaper, and scalable treatment option for people who may need to lose weight. However, outcomes are often inferior to in-person interventions in the long-term. This trial will use principles from the Multiphase Optimisation Strategy (MOST) framework to test whether it can enhance the effectiveness of a commercial digital behavioural weight loss programme. This trial aims to identify an optimised combination of four intervention components to enhance weight loss over a 24-week period. We will also explore which components contribute to improvements in participant retention and engagement with the programme.MethodsApproximately 1400 adults with a BMI > 21 kg/m2 will be enrolled and randomised to one of 16 experimental conditions in a 24 factorial cluster design. The trial will test four intervention components: an introductory video call with the health coach, drop-in webchat sessions with the health coach, goal setting statements, and food diary review and feedback. All participants will receive the core digital behavioural weight loss programme and up to four new intervention components. Participation in the trial will last for 24 weeks. The primary outcome will be weight change at 16 weeks. Other outcomes, measured at 4, 16, and 24 weeks, include programme drop-out and engagement (number of interactions with the three main app functions). Fidelity and acceptability will be assessed using data on component adherence and self-report questionnaires. Decision-making for the enhanced programme will be based on components that contribute to at least a minimal improvement in weight loss, defined as ≥ 0.75kg, alone or in combination with other components.DiscussionThe factorial design is an efficient way to test the efficacy of behavioural components alone, or in combination, to improve the effectiveness of digital weight loss programmes. This trial will test the implementation of the MOST framework in an industry setting, using routinely collected data, which may provide a better way to refine and evaluate these types of interventions in a model of continuous service improvement.Trial registrationTrial registration: ISRCTN, ISRCTN14407868. Registered 5 January 2024, 10.1186/ISRCTN14407868.

Supporting victim-survivors during investigations of health practitioner misconduct: early learnings from a trauma-informed service

ObjectiveIn 2021, the Australian Health Practitioner Regulation Agency established a support service to provide additional assistance to victim-survivors involved in complaints related to sexual boundary violations. This study evaluates the...

Multi-Tenant IaaS Cloud Security Evaluation Model

Tenants that rent computer resources to run sophisticated systems might benefit from increased resource flexibility provided by the infrastructure cloud (IaaS) service model. The user will thus be launched into virtual computers after completing the authentication procedure, where they will start the upload process to the cloud.Secure data access is offered by suggested system's implementation of virtual machines and key management.Session management and failed authentication are other key components of suggested solution. All facets of managing active sessions and handling user authentication fall under the purview of authentication and session management. The act of updating an account, changing a password, remembering a password, and other similar operations are examples of credential management functions that can compromise even the most robust authentication schemes.

Indigenous governance, ethics and data collection in Australian clinical registries.

To examine Indigenous Governance of Data processes in Australian clinical registries. Audit (via desktop review and interviews) of registries in the Australian Register of Clinical Registries from 17 January 2022 to 30 April 2023. The number of clinical registries collecting ethnicity data, reporting Aboriginal and/or Torres Strait Islander representation on registry governance or steering committees, and reporting human research ethics committee approval. A total of 107 clinical registries were reviewed. Of these registries, 65 (61%) collected ethnicity data; when these were grouped by geographical coverage, those most likely to collect ethnicity data were binational (24/40 [60%]), national (19/26 [73%]) or state based (19/26 [73%]). Of the registries that collected ethnicity data, 29 (45%) classified their ethnicity item as Aboriginal and/or Torres Strait Islander. Only eight clinical registries (7%) reported Aboriginal and/or Torres Strait Islander representation on their governance or steering committees. Human research ethics approval was reported in 94 registries (88%), with only 11 (12%) having Aboriginal human research ethics committee approval. Significant variability is evident in clinical registry recording of Indigenous governance of data, meaning that Aboriginal and Torres Strait Islander communities remain invisible in data which is used to inform policy, clinical models of care, health services and initiatives. Radical change is required to facilitate meaningful change in quality indicators for clinical registries nationally.

Characterizing phenotypes and clinical and health utilization associations of young people with chronic pain: latent class analysis using the electronic Persistent Pain Outcomes Collaboration database.

Using the Australiasian electronic Persistent Pain Outcomes Collaboration, a binational pain registry collecting standardized clinical data from paediatric ePPOC (PaedsePPOC) and adult pain services (AdultePPOC), we explored and characterized nationally representative chronic pain phenotypes and associations with clinical and sociodemographic factors, health care utilization, and medicine use of young people. Young people ≥15.0 and <25.0 years captured in PaedePPOC and AdultePPOC Australian data registry were included. Data from 68 adult and 12 paediatric pain services for a 5-year period January 2018 to December 2022 (first episode, including treatment information) were analysed. Unsupervised latent class analysis was applied to explore the existence of distinct pain phenotypes, with separate models for both services. A 3-phenotype model was selected from both paediatric and adult ePPOC data, with 693 and 3518 young people included, respectively (at least one valid indicator variable). Indicator variables for paediatric models were as follows: pain severity, functional disability (quasisurrogate "pain interference"), pain count, pain duration, pain-related worry (quasisurrogate "catastrophizing"), and emotional functioning; and, for adult models: pain severity, pain interference, pain catastrophizing, emotional functioning, and pain self-efficacy. From both services, 3 similar phenotypes emerged ("low," "moderate," "high"), characterized by an increasing symptom-severity gradient in multidimensional pain-related variables, showing meaningful differences across clinical and sociodemographic factors, health service utilization, and medicines use. Derived phenotypes point to the need for novel care models that differentially respond to the needs of distinct groups of young people, providing timely, targeted, age-appropriate care. To effectively scale such care, digital technologies can be leveraged to augment phenotype-informed clinical care.

Aircraft engine dust ingestion at global airports

Abstract. Atmospheric mineral dust aerosol constitutes a threat to aircraft engines from deterioration of internal components. Here we fulfil an overdue need to quantify engine dust ingestion at airports worldwide. The vertical distribution of dust is of key importance since ascent/descent rates and engine power both vary with altitude and affect dust ingestion. We use representative jet engine power profile information combined with vertically and seasonally varying dust concentrations to calculate the “dust dose” ingested by an engine over a single ascent or descent. Using the Copernicus Atmosphere Monitoring Service (CAMS) model reanalysis, we calculate climatological and seasonal dust dose at 10 airports for 2003–2019. Dust doses are mostly largest in Northern Hemisphere summer for descent, with the largest at Delhi in June–August (JJA; 6.6 g) followed by Niamey in March–May (MAM; 4.7 g) and Dubai in JJA (4.3 g). Holding patterns at altitudes coincident with peak dust concentrations can lead to substantial quantities of dust ingestion, resulting in a larger dose than the take-off, climb, and taxi phases. We compare dust dose calculated from CAMS to spaceborne lidar observations from two dust datasets derived from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP). In general, seasonal and spatial patterns are similar between CAMS and CALIOP, though large variations in dose magnitude are found, with CAMS producing lower doses by a factor of 1.9 to 2.8, particularly when peak dust concentration is very close to the surface. We show that mitigating action to reduce engine dust damage could be achieved, firstly by moving arrivals and departures to after sunset and secondly by altering the altitude of the holding pattern away from that of the local dust peak altitude, reducing dust dose by up to 44 % and 41 % respectively. We suggest that a likely low bias of dust concentration in the CAMS reanalysis should be considered by aviation stakeholders when estimating dust-induced engine wear.

Enhancing telehealth services development in Pakistani healthcare sectors through examining various medical service quality characteristics.

The telehealth service increased attention both during and after the Covid-19 outbreak. Nevertheless, there is a dearth of research in developing countries, including Pakistan. Hence, the objective of this study was to examine telehealth service quality dimensions to promote the telehealth behavior intention and sustainable growth of telehealth in Pakistan. This study employed a cross-sectional descriptive design. Data were collected from doctors who were delivering telehealth services through a well-designed questionnaire. To examine the hypothesis of the study, we employed the Smart PLS structural equation modeling program, namely version 0.4. The study findings indicate that medical service quality, affordability, information quality, waiting time, and safety have a positive impact on the intention to engage in telehealth behavior. Furthermore, the adoption of telehealth behavior has a significant favorable effect on the actual utilization of telehealth services, which in turn has a highly good impact on sustainable development. The study determined that telehealth services effectively decrease the amount of time and money spent on travel, while still offering convenient access to healthcare. Furthermore, telehealth has the potential to revolutionize payment methods, infrastructure, and staffing in the healthcare industry. Implementing a well-structured telehealth service model can yield beneficial results for a nation and its regulatory efforts in the modern age of technology.

The output of cataract surgery performed by trained non-ophthalmologist physicians in rural areas: study of cataract outcomes and up-take of services report 7.

Cataract is the leading cause of blindness worldwide and surgery can restore vision in most patients. Some patients have little access to surgical services due to lack of cataract surgeons and the unaffordable costs. In 2005 we built a service model that trained rural non-ophthalmologist physicians to perform cataract surgeries in rural China. This study evaluates the long-term impacts of this model. We conducted a retrospective cohort study to analyze patients' hand-written medical records and electronic outpatient record between January 2005 and December 2019 at two rural health clinics in Southern China. In total, 34,601 patients (49,942 eyes) underwent cataract surgery by non-ophthalmologist physicians from 2005 to 2019.Visual acuity was clearly documented in 38,251 eyes. Before surgery, the unaided distance visual acuity (UDVA) of 60.7% (23,205/38,251) eyes was less than 0.05 decimal. On the first day after surgery, the percentage of UDVA < 0.05 eyes was reduced to 6.0%, and 96.7% (36,980/38,251) of the eyes achieved a better UDVA compared to pre-operation. Surgical-related complications occurred in 218 eyes. The most common complication was posterior capsule rupture (114, 0.23%). 44.3% (15,341/34,601) of the patients chose to have a second eye cataract surgery (SECS) in the same clinic. At one of the outpatient clinics, 21,595 patients received basic eye care apart from cataract surgery between 2018 and 2020. Non-ophthalmologist physicians trained for cataract surgeries in rural clinics can improve cataract related visual acuity and basic eye care to the local population.

Exploring factors influencing aviation MRO services with blockchain technology in Taiwan

PurposeBlockchain is the fastest-growing technology currently being used in the aviation industry, especially in aviation maintenance, repair and overhaul (MRO) services. This study aims to create an analytic framework to assess the main factors and subfactors that have significantly influence the blockchain used in aviation MRO services. A mixed-methods approach is used to gain a comprehensive understanding of how blockchain is being adopted in aircraft maintenance facilities, Semi-structured interviews and questionnaires are used to gather data. The questionnaire is focused on the present state of the MRO industry.Design/methodology/approachBased on the literature review, a framework including four factors and 12 subfactors is developed, and the analytic hierarchy process (AHP) is then established. This study explores how these factors influence the implementation of blockchain in aviation MRO services. The five aviation MRO services providers in Taiwan, namely, “Evergreen Aviation Technologies Corporation,” “Taiwan Aircraft Maintenance and Engineering Co., Ltd.,” “Air Asia Company Ltd.,” “Aerospace Industrial Development Corp.” and “GE Evergreen Engine Services Corporation” are considered; furthermore, 55 experts working in these organizations were invited to evaluate the relative importance criteria in the AHP framework.FindingsThe results indicate that “inventory management” is the most important criterion, followed by “provisioning, procurement and sales” and “maintenance planning.” In addition, the three most important subfactors are “parts interchangeability,” “customer stock” and “SPEC2K interface for ATA SPEC 2000.”Originality/valueAsia is ranked as the second most important aviation MRO service market in the world. Taiwan has the shortest flight hours in the western Pacific region, the seven major foreign cities in this area. Aviation MRO service providers located in Taiwan are the best choices for aircraft MRO in the Asia-Pacific region, indicating that Taiwan serves as a promising market development evaluation model for blockchain aviation MRO services. The results offer a comprehensive overview of the relative importance of different criteria for MRO services that use blockchains. In addition, the findings present the market potential for key players in the aviation industry, including aircraft engineers, airline companies, aircraft component manufacturers and aviation MRO service providers.

The impact of digital finance on business environment: Mediating role of industrial structural upgrading and moderating role of digital infrastructure

In the digital wave of the 21st century, digital finance, as a new financial services model, has profoundly changed the global business environment. Based on data from Chinese prefecture-level cities from 2011 to 2020, this study examines the relationship among digital finance, the business environment, the upgrading of industrial structure, and the level of digital infrastructure. The results show that digital finance has a positive mediation effect on the business environment. Industrial structural upgrading plays an intermediary role in this process, while the level of digital infrastructure acts as a moderator. Heterogeneity analysis reveals that digital finance has a stronger promoting effect on the business environment in the eastern and central regions compared to the western regions.