End-user Perspective Research Articles

Development of a digital learning program for physiotherapists to enhance clinical implementation of aerobic exercise in stroke rehabilitation

BackgroundThis paper describes the initial development process of an eLearning continuing professional education program primarily for post-licensure physiotherapists –“Electronic Aerobic Exercise Recommendations to Optimize Best Practices in Care after Stroke” (eAEROBICS). Our objective was to develop an evidence-based, clinically relevant, user-friendly eLearning program for online delivery tailored to facilitate prescription of aerobic exercise post-stroke by physiotherapists. The Demand Driven Learning Model guided curriculum design, delivery, and evaluation. Based on previously identified gaps in physiotherapists’ knowledge of aerobic exercise, four learning modules were developed and delivered using an eLearning platform to maximize cost-effectiveness and flexibility. Five physiotherapists volunteered to pilot eAEROBICS, providing preliminary feedback on strengths and suggestions for improvement.ResultsTheoretical information and clinical applications addressed the learning objectives of each module in a logical manner. All technical or administrative issues encountered during program delivery were addressed. The feedback from the pilot end-users informed modifications to the eAEROBICS program.ConclusionsProcesses used in developing eAEROBICS have the potential to serve as a model of electronic continuing professional education for other areas of physiotherapy practice. Further investigation of end-user perspectives and clinical impact of the program is warranted to determine the overall effectiveness of the program.

Implementation of tele visit healthcare services triggered by the COVID-19 emergency: the Trentino Province experience

AimIn response to the SARS-CoV-2 emergency, the Competence Centre on digital health ‘TrentinoSalute4.0’ has developed TreC_Televisita, a tele visit solution that meets the needs of the Trentino healthcare system and maintains high-quality patient–doctor interactions while respecting social distancing. This paper highlights how ‘TreC_Televisita’ was integrated into the Trentino healthcare system and its potential to become a structural and durable solution for the future local healthcare service provisioning.Subject and methodsThis paper presents the multifactorial context that TreC_Televisita has faced for its implementation and the strategies adopted for its structural integration into the healthcare system. The analysis focuses on the main issues faced for the integration of the tele visits (e.g. privacy, payments) and how the context of TrentinoSalute4.0 permitted responding quickly to its implementation during the pandemic. It also describes how TreC_Televisita fits into the healthcare continuum from the organisational and technological standpoint, the end-user perspective and the barriers that could hamper the solution scalability.ResultsTreC_Televisita has demonstrated to be a technological solution that can be contextualised for different clinical domains beyond SARS-CoV-2. Moreover, it has shown its potential to scale up the solution beyond the COVID-19 emergency to the whole healthcare provisioning system in the long term.ConclusionBeing a positive experience in the first months of its implementation, the long-term goal is to transform TreC_Televisita into a structural pillar of the Trentino healthcare system, setting the bases for a sustainable, win–win situation for all the stakeholders involved in healthcare service provisioning.

Role of digital economy and technology adoption for financial inclusion in India

Purpose The study aims to explore the role of digital economy and technology adoption for financial inclusion in the Indian context. Design/methodology/approach A conceptual framework was developed and hypotheses were tested through a survey conducted on 433 educated adults (males and females) residing in different districts of Rajasthan (India). Data was collected through a structured questionnaire and was subjected to confirmatory factor analysis. Structural equation modeling (second-order) was used to validate the measurement model and to test the mediating effect. Findings The measurement model is a confirmatory factor analysis and measures the reliability of the observed variables in relation to the latent constructs and indices shows the overall model fit. Structural model results indicate a complete mediation and a reflective impact (R2 = 0.28) of the extended technology acceptance model on digital economy and financial inclusion relationship. Research limitations/implications The study has taken into account only the perception of educated adults residing more specifically in one geographical area of a country. Thus, it limits the generalization of results in terms of implications to other regions and countries. Practical implications The proposed framework and implications are quite significant for policymakers and service providers to understand the nexus and strategic choices involved in this area. Moreover, understanding of user’s frame dependence would help in the development of digital assistive models that would perhaps mitigate the gap from participation (digital economy) to acceptance (financial inclusion). Originality/value Present study proposed a three-dimensional hypothetical model and conceptualized the digital economy (independent variable) as participation, behavioral intentions measured through the extended technology acceptance model (mediating variable) as adoption and financial inclusion (dependent variable) as acceptance to better understand the nexus. It represents the foremost step and a unique effort in this area. Moreover, the study was empirical and has wider applications both from the perspectives of end-users and service providers.

Empirical Analysis of IPv4 and IPv6 Networks through Dual-Stack Sites

IPv6 is the most recent version of the Internet Protocol (IP), which can solve the problem of IPv4 address exhaustion and allow the growth of the Internet (particularly in the era of the Internet of Things). IPv6 networks have been deployed for more than a decade, and the deployment is still growing every year. This empirical study was conducted from the perspective of end users to evaluate IPv6 and IPv4 performance by sending probing traffic to 1792 dual-stack sites around the world. Connectivity, packet loss, hop count, round-trip time (RTT), and throughput were used as performance metrics. The results show that, compared with IPv4, IPv6 has better connectivity, lower packet loss, and similar hop count. However, compared with IPv4, it has higher latency and lower throughput. We compared our results with previous studies conducted in 2004, 2007, and 2014 to investigate the improvement of IPv6 networks. The results of the past 16 years have shown that the connectivity of IPv6 has increased by 1–4%, and the IPv6 RTT (194.85 ms) has been greatly reduced, but it is still longer than IPv4 (163.72 ms). The throughput of IPv6 is still lower than that of IPv4.

Effect of pyrolysis temperature and biomass particle size on the heating value of biocoal and optimization using response surface methodology

The effect of pyrolysis temperature (T) and biomass particle size (z) on the biocoal's heating value of Oak acorn shell (OA), deseeded carob pods (CP) and olive mill solid waste (OMSW) were investigated. The higher heating value (HHV) increased with T. The effect of the particle size differed according to the biomass. Response surface methodology (RSM) was used to optimise the biocoal production system from technical, end-user and socio-environmental perspectives. The maximum HHV, representing the technical objective, is achieved at maximum T and minimum z for OA biocoal; at maximum T and minimum z for OMSW and at maximum T and maximum z for CP. The highest lower heating value (LHV), corresponding to end-user, for OA biocoal is achieved when T is greater than 450 °C and z < 1000 μm. For OMSW, particle size was the most important factor with the best LHV achieved when z > 1750 μm. The maximum net energy return per kg of biomass processed and maximum GHG offset (socio-economic) is realised at the lowest T for all biomass and particle sizes. This study is relevant to policy makers as it highlights potential conflict between the optimal conditions to produce high quality biocoal characterised by its high LHV and the optimal conditions to achieve the maximum utility from the resource and in turn potentially higher socio-environmental return.

Through the athlete lens: A novel study exploring the perspectives and experiences of injury prevention practices in women playing elite Australian Football

BackgroundEfficacious injury prevention programs exist, yet translation to practice in real-world settings is poor. Little is known about how women playing elite team ball-sports perceive and experience injury prevention programs in practice. Understanding the end-user's (athlete's) perspective is essential to improve program uptake and adherence. ObjectiveTo explore the perspectives and experiences of injury prevention practices in athletes from the elite Australian Football League for Women (AFLW). MethodsConvenience sample of 13 athletes from three AFLW clubs. Semi-structured interviews were audio-recorded and transcribed verbatim, analysed with a thematic analysis approach, and classified within the Socio-Ecological Model (SEM). ResultsWomen playing elite Australian Football: (1) believe injury prevention programs have multiple aims and benefits, (2) perceive varying injury prevention practices between and within AFLW clubs, (3) believe injury prevention program adoption and implementation is complex and multi-factorial, and (4) think implementing injury prevention programs in the AFLW could be enhanced through education and resources. Mapping our results onto the SEM highlighted that athletes perceive multiple ecological levels (i.e. individual, interpersonal, community, and organizational) are involved in sports injury prevention. ConclusionsMulti-level engagement strategies are required to enhance injury prevention program adoption and implementation and to maximise athlete adherence.

Implementing radical cure diagnostics for malaria: user perspectives on G6PD testing in Bangladesh

BackgroundThe radical cure of Plasmodium vivax requires treatment with an 8-aminoquinoline drug, such as primaquine and tafenoquine, to eradicate liver hypnozoite stages, which can reactivate to cause relapsing infections. Safe treatment regimens require prior screening of patients for glucose-6-phosphate dehydrogenase (G6PD) deficiency to avoid potential life-threatening drug induced haemolysis. Testing is rarely available in malaria endemic countries, but will be needed to support routine use of radical cure. This study investigates end-user perspectives in Bangladesh on the introduction of a quantitative G6PD test (SD Biosensor STANDARD™ G6PD analyser) to support malaria elimination.MethodsThe perspectives of users on the SD Biosensor test were analysed using semi-structured interviews and focus group discussions with health care providers and malaria programme officers in Bangladesh. Key emerging themes regarding the feasibility of introducing this test into routine practice, including perceived barriers, were analysed.ResultsIn total 63 participants were interviewed. Participants emphasized the life-saving potential of the biosensor, but raised concerns including the impact of limited staff time, high workload and some technical aspects of the device. Participants highlighted that there are both too few and too many P. vivax patients to implement G6PD testing owing to challenges of funding, workload and complex testing infrastructure. Implementing the biosensor would require flexibility and improvisation to deal with remote sites, overcoming a low index of suspicion and mutual interplay of declining patient numbers and reluctance to test. This approach would generate new forms of evidence to justify introduction in policy and carefully consider questions of deployment given declining patient numbers.ConclusionsThe results of the study show that, in an elimination context, the importance of malaria needs to be maintained for both policy makers and the affected communities, in this case by ensuring P. vivax, PQ treatment, and G6PD deficiency remain visible. Availability of new technologies, such as the biosensor, will fuel ongoing debates about priorities for allocating resources that must be adapted to a constantly evolving target. Technical and logistical concerns regarding the biosensor should be addressed by future product designs, adequate training, strengthened supply chains, and careful planning of communication, advocacy and staff interactions at all health system levels.

Stakeholders' Understandings of Human Papillomavirus (HPV) Vaccination in Sub-Saharan Africa: A Rapid Qualitative Systematic Review.

Cervical cancer rates in Sub-Saharan Africa (SSA) are amongst the highest worldwide. All three of the Human Papillomavirus (HPV) vaccines (9-valent, quadrivalent and bivalent HPV vaccine) provide primary protection against the most common cancer-causing strains of HPV (types 16 and 18) that are known to cause 70% of cervical cancers. Over the last five years, there has been an increase in Sub-Saharan African countries that have introduced the HPV vaccine. The majority of research has been conducted on supply-side barriers and facilitators to HPV vaccination uptake in SSA, yet little research has been conducted on demand-side or end-user perspectives of, and decisions around, HPV vaccination. In order to complement existing research, and inform current and future HPV vaccination implementation approaches, this qualitative systematic review explored Stakeholders’ understandings of HPV vaccination in SSA. This review searched the following databases: Embase (via Scopus), Scopus, MEDLINE (via PubMed), PubMed, EBSCOhost, Academic Search Premier, Africa-Wide Information, CINAHL, PsycARTICLES, PsycINFO, SocINDEX, Web of Science, and the Cochrane Controlled Register of Trials (CENTRAL) and found a total of 259 articles. Thirty-one studies were found eligible for inclusion and were analyzed thematically using Braun and Clarke’s methods for conducting a thematic analysis. The quality of included studies was assessed using the Critical Appraisal Skills Programme (CASP) checklist. Three major themes emerged from this analysis; knowledge of HPV vaccination and cervical cancer is intertwined with misinformation; fear has shaped contradictory perceptions about HPV vaccination and gender dynamics are relevant in how stakeholders understand HPV vaccination in SSA.

Perception of Malaria Chemoprevention Interventions in Infants and Children in Eight Sub-Saharan African Countries: An End User Perspective Study.

Preventive chemotherapy interventions have been identified as key tools for malaria prevention and control. Although a large number of publications have reported on the efficacy and safety profile of these interventions, little literature exists on end-user experience. The objective of this study was to provide insights on the perceptions and attitudes towards seasonal malaria chemoprevention (SMC) and intermittent preventive treatment of infants (IPTi) to identify drivers of and barriers to acceptance. A total of 179 in-depth qualitative interviews were conducted with community health workers (CHWs), health center managers, parents of children receiving chemoprevention, and national decision makers across eight countries in sub-Saharan Africa. The transcribed verbatim responses were coded and analyzed using a thematic approach. Findings indicate that, although SMC is largely accepted by end users, coverage remained below 100%. The main causes mentioned were children’s absenteeism, children being sick, parents’ reluctance, and lack of staff. Regarding IPTi, results from participants based in Sierra Leone showed that the intervention was generally accepted and perceived as efficacious. The main challenges were access to water, crushing the tablets, and high staff turnover. SMC and IPTi are perceived as valuable interventions. Our study identified the key elements that need to be considered to facilitate the expansion of these two interventions to different geographies or age groups.

Evaluation of a passive low-back support exoskeleton (Ergo-Vest) for manual waste collection

The purpose of study was to determine the biomechanical, physiological, and subjective effect of a Passive Exoskeleton device (called Ergo-Vest) among 20 waste collectors in the working environment. Compression force and moment on L4/L5 related to 400 critical postures of the participants were estimated using the 3DSSPP software. The heart rate and energy expenditure are measured as the physiological strain using the Polar RS400 Heart Rate Monitor. Borg scale perceived exertion, system usability scale, and ergonomic design indicators of the device were collected as the subjective parameters. Compression force and moment on L4/L5 disc were decreased when the Ergo-Vest was utilised. There was no significant difference in energy expenditure and heart rate with and without the device. The workers' perceived physical exertion was decreased while using the Ergo-Vest. From the perspective of end users, the usability and ergonomic design features of the Ergo-Vest was acceptable. Practitioner summary: The prevalence of musculoskeletal disorders is high among the Iranian waste collectors. To mitigate this occupational problem, the effect of a passive exoskeleton for lower-back support (Ergo-Vest) was investigated on the workers' spine loading, physiological parameters, and perceived physical exertion. The result shows spine force reduction and lower subjective responses.

Use of symptom checkers for COVID-19-related symptoms among university students: a qualitative study

ObjectiveSymptom checkers are potentially beneficial tools during pandemics. To increase the use of the platform, perspectives of end users must be gathered. Our objectives were to understand the perspectives and...

Using Grey Literature in the Human Services: Perspectives of Australian Research End Users

Human services workers need up-to-date, quality research to inform their work in practice, management, education, policy, and advocacy. While some research end users read peer-reviewed journal articles, many also rely on research-based grey literature in the form of print and online materials, which may not be subject to scholarly peer review. This may include commissioned research reports, conference papers, policy documents, and research summaries. The aim of this study was to understand how research end users accessed research knowledge and the benefits and challenges related to different knowledge sources, including grey literature. Semi-structured interviews were conducted with 43 research end users in child protection, disability, and aged care services. Participants indicated that they used an array of grey literature for reasons such as difficulties accessing academic journals, wanting to read more digestible research, and to source lived experience or culturally appropriate knowledge. Grey literature provides a valuable source of research knowledge, but uncertainty about its quality means research end users should be mindful of its limitations. Producers of grey literature should ensure that it distils messages for policy, practice, and the delivery of human services based on sound research.

The quality of user experiences for mobile recommendation systems: an end-user perspective

PurposeThis paper attempts to identify key factors (i.e., personalization, privacy awareness and social norms) that affect user experiences (UXs) of mobile recommendation systems according to the user involvement theory (push-based and pull-based) and their relationships.Design/methodology/approachThe study is based on an online survey with students from an international business school located in southwestern China. The sample population for the study included randomly selected 600 university students who are active mobile phone users. A total of 470 questionnaires were returned; 456 were valid (14 were invalid due to the incompleteness of their responses), providing a response rate of 65%.FindingsSocial norms have the largest impact on user experience quality, followed by personalization and privacy awareness. User involvement in mobile recommendation systems has mediating effects on the above relationships, with larger effects on pull-based systems than on push-based systems.Originality/valueThis study provides an integrated framework for researchers to measure the effects of social, personal and risk factors on the quality of user experience. The results enrich the literature on user involvement, mobile recommendation systems and UX. The findings provide significant implications for both retailers and developers of mobile recommendation systems.

Neural network prediction of sound quality via domain Knowledge-Based data augmentation and Bayesian approach with small data sets

This study proposes a novel deep learning methodology to evaluate the interior noise in vehicles on mechanical and affective levels by employing small data sets. A convolutional neural network (CNN) model is constructed from the frequency-rpm spectrograms of vehicle noises to predict the mechanical attributes of the noise. The noises are classified based on the number of engine cylinders (3, 4, 6, and 8). Owing to the high variability in spectrograms, mathematical expressions for the engine order lines are derived to augment the training data. With respect to the affective attributes, three classes (i.e., ‘sporty,’ ‘powerful,’ and ‘luxurious’) are selected for noise characterization. The spectrograms are used to design another CNN-based classification model that predicts the affective attributes from the perspective of experts. Although expert knowledge is employed for data labeling, a quarter of the data remains unlabeled, owing to inherent subjectivity. The model is trained on the labeled data and is validated by comparing the predicted class probabilities for the unlabeled data and their distribution in the RGB color space. K-fold cross-validation is used to evaluate the reliability of the model. A regression model is built based on Bayesian inference to evaluate the affective attributes of the noise from the perspective of end users. Given four singular values from the matrix of sound quality metrics, the model predicts the mean jury ratings for noise. The classification models exhibit generalization performances of 98.2% and 91.6%, respectively, and the regression model exhibits a mean squared error of 2.57×10-3, thereby demonstrating the applicability of the proposed approach to vehicle noise analysis.

Health Care Professionals' Confidence and Preferences for Diagnostic Assays for SARS-CoV-2: A Global Study.

Background: The COVID-19 pandemic has led to an urgent requirement for novel diagnostic tests that determine infection with SARS-CoV-2 and the development of an immune response against it. The perspective of end users on the characteristics and clinical use of these assays has not been previously considered.Methods: We surveyed 17,186 health care professions (HCPs) in 29 countries to gauge opinion on the design, use, diagnostic impact and diagnostic accuracy of COVID-19 tests. Results were correlated with national statistics on the burden of disease and testing in individual countries.Results: HCPs overwhelmingly recognized the importance of COVID-19 tests but 37.1% were unsure of the appropriate timing of investigations relative to disease symptoms. Confidence in the diagnostic accuracy of assays varied inversely with COVID-19-related mortality in individual countries but had no relationship with the total number of tests performed. There was global consensus that the most important impact of positive antigen and antibody testing was confidence in returning to work following recovery. Saliva was the preferred sampling fluid for COVID-19 diagnostic tests in all groups surveyed.Conclusions: HCP input can ensure novel assays are fit for purpose in varied global health care settings, but HCPs may require support to effectively use novel diagnostics thus minimizing waste when supplies are limited.

How well do mould models predict mould growth in buildings, considering the end-user perspective?

Mould growth results from a complex interaction between environmental factors, material properties, and mould fungi characteristics. These interactions must be considered during the design, construction and maintenance of a building to prevent growth. Mould prediction models aim to predict whether mould will grow on a specific material in a part of building with a known, or simulated, relative humidity and temperature. They are often used in the design phase. Several models are available. There is limited research on the performance of the models in real buildings. This study aimed to evaluate six different models, using data from five building parts. The predictions on whether mould growth was expected or not were compared to actual mould growth observations on five building materials. The study was performed as a round-robin. Most models underestimated the possibility for mould when humidity and temperature varied a lot by time. The outcome also depended on the end-user, who needs to make assumptions and parameter values choices on, for example, material susceptibility for mould growth. Therefore, using the same climate data, mould growth prediction may differ depending on who makes the prediction. One model, MOGLI model, where input data comes from laboratory tests and no such assumptions must be made, predicted correct in most cases. One conclusion of the study is that when predictions are made in practice, the results must be used cautiously. More knowledge is needed to understand, and more accurately model, the relationships between the moisture and temperature variations in buildings and the risk for mould growth.

Research End-User Perspectives about Using Social Work Research in Policy and Practice

Abstract Research funding and assessment initiatives that foster engagement between researchers and research end-users have been adopted by governments in many countries. They aim to orient research towards achieving measurable impacts that improve economic and social well-being beyond academia. This has long been regarded as important in social work research, as it has in many fields of applied research. This study examined research engagement and impact from the perspective of research end-users working in human services. In-person or telephone interviews were conducted with forty-three research end-users about how they used research and interacted with researchers. Content analysis was undertaken to identify engagement strategies and thematic coding was employed to examine underpinning ideas about research translation into practice. Participants were involved in many types of formal and informal research engagements. They viewed research translation as a mutual responsibility but indicated that researchers should do more to improve the utility of their research for industry. The findings highlight the iterative nature of engagement and impact and raise questions about the infrastructure for scaling up impact beyond relationships between individual researchers and their industry partners.

Pharmacy-based initiatives to reduce unintended pregnancies: A scoping review.

Community pharmacy contraception services are thought to improve access, with the potential to reduce the persistent sexual and reproductive health inequities observed globally. We aimed to identify the range of pharmacy-based initiatives addressing unintended pregnancy in the primary literature and examine their feasibility, acceptability and effectiveness. Using the Joanna Briggs Institute Methodology for Scoping Reviews, we searched seven bibliographic databases using combinations of keywords and subject headings for related to contraception and community pharmacy. Studies of any design undertaken in high income countries for reproductive-aged women were eligible provided they evaluated intervention or legislation after the implementation of these initiatives. Included articles were critically appraised and findings summarised narratively. We identified 49 articles, 80% of which involved pharmacist supply of emergency contraception (EC), 14% of regular contraception methods, and 6% involved adjuncts of EC dispensing: counselling (2%) and bridging initiatives to link clients with regular contraception (4%). EC initiatives were perceived as feasible and were facilitated by interdisciplinary partnerships but there are persistent barriers to the provision of initiatives congruous with the retail pharmacy setting. Furthermore, consumers may be reluctant to receive contraceptive counselling from pharmacists but often value the convenience and anonymity pharmacy services offer. Overall, interventions improved access to contraceptive products but did not consistently reduce inequities, and the health benefits of pharmacy initiatives are either small (EC) or lacking description in the literature (other contraceptive methods and contraceptive counselling). Pharmacy initiatives may not negate all barriers to access or reduce unintended pregnancy rates, however they are valued by pharmacists and consumers. Evidence gaps including the lack of description of health outcomes of regular contraception provision, contraceptive counselling and the perceived barriers and facilitators of access and provision from end-user perspectives, should be pursued in future research, to establish initiatives' utility and effectiveness.

The Effect of Inflation Rate on CO2 Emission: A Framework for Malaysian Construction Industry

Inflation and CO2 emission are the two most deleterious elements in the construction industry. However, so far no linkage between the two has been estimated. Therefore, this study examines the relationship between carbon dioxide (CO2) emission and the inflation rate in the construction industry of Malaysia and proposes a CO2 emission calculator framework. As it is not possible to calculate the effect directly, therefore, an indirect assessment of the correlation coefficient was performed between the inflation rate (independent variable) and construction rates, i.e., building material prices and value of construction work (dependent variables) along with percentage deviation of each variable. The results show that with a decrease in the inflation rate, the prices of the building materials also decrease, whereas the value of the construction work increases. The relationship looks attractive from an end-user perspective, but it creates a major problem of CO2 emission. The effect impacts directly on environmental sustainability as it is not suitable for the greenhouse effect because it triggers CO2 emission. While estimating how much CO2 emission occurs from the value of construction work of Malaysia, it was revealed that there is no such calculator available to perform the estimation. Therefore, a CO2 emission calculator framework is proposed, which will be beneficial after its practical implementation for the construction industry stakeholders and government/policy makers to monitor the emissions and control the adverse effects of massive construction work.

Aligning BIM and ontology for information retrieve and reasoning in value for money assessment

Value for money (VfM) assessments often lack effective automatic processes and reasoning support in public-private partnership (PPP) projects. To automate these assessments, this paper proposes a comprehensive approach that aligns with the goals of building information modeling (BIM) as the necessary information support and ontology for the knowledge process. The main contribution of this work is the retrieval of information from the BIM environment with the ontological knowledge base to enable more efficient and persuasive methods for project and finance management that facilitate decision-making rather than an experience-based approach. The constructed ontology can also be reused and further expanded to include project needs from end-user perspectives. This work is expected to further the research on expanding semantic BIM-based decision making in different infrastructure procurement projects.