End-user Preferences Research Articles

Self-testing for pregnancy: a systematic review and meta-analysis

ObjectivesUrine pregnancy tests are often inaccessible in low-income settings. Expanded provision of home pregnancy testing could support self-care options for sexual and reproductive health and rights. We conducted a systematic...

“I prefer to take pills when I plan to have sex”: Perceptions of on-demand versus daily oral pre-exposure prophylaxis among adolescents in Kampala, Uganda

There is limited information about the use of on-demand and daily pre-exposure prophylaxis (PrEP) among adolescents and young people (AYP) in sub-Saharan Africa. We explored perceptions of both regimens among 14- to 19-year-olds perceived to be at high risk of HIV infection in Kampala, Uganda, using qualitative data collection methods. Data were analysed by theme and interpreted based on constructs from the framework of acceptability. Although there were no noticeable gender differences in preferences for a particular regimen, acceptability of PrEP depended on individual AYP sexual behaviour at the time of the study. Those who perceived themselves to be at increased risk of acquiring HIV preferred using daily PrEP, citing the consistency that comes from taking a pill daily and which they considered to be efficacious and safe. AYP who had less frequent sex preferred on-demand PrEP because it would enable them to “plan for sex”. However, both groups perceived taking daily PrEP to be a burden, which was an impediment to acceptance of this form of PrEP. AYP anticipated that daily pill taking would be very stressful, requiring a lot of effort and would interrupt their daily routine. Therefore, while both on-demand and daily PrEP were acceptable and beneficial to these AYP, preferences for either regimen depended on self-perceived risk. Thus, oral PrEP use should be tailored to end-user preferences and risk profiles.

Exploring Stem Cell Transplanted Patients' Perspectives on Medication Self-Management and Electronic Monitoring Devices Measuring Medication Adherence: A Qualitative Sub-Study of the Swiss SMILe Implementation Science Project.

PurposeLittle is known about allogeneic stem cell transplant (alloSCT) patients’ medication adherence strategies. Acceptability and preferences regarding electronic monitoring (EM) systems to assess all three phases of medication adherence (ie, initiation, implementation, persistence) are crucial to allow their successful implementation in clinical or research settings but have not yet been evaluated. We therefore aimed to explore: 1) alloSCT patients’ medication adherence and self-management strategies; and 2) their acceptability and preferences of three different EM systems (MEMS Cap, Helping Hand, Button) as part of the Swiss SMILe study.Patients and MethodsRespecting anti-pandemic measures, we used a purposive sample of six adult alloSCT patients from the University Hospital Basel, Switzerland (USB)—6 weeks to 2 years post-alloSCT—to conduct three focus group sessions with two patients each. Using a semi-structured outline, we explored 1) patients’ medication adherence strategies and medication self-management; and 2) their acceptance and preferences regarding EM use. The three tested EM systems were available for testing during each session. Discussions were audio-recorded, visualized using mind-mapping and analyzed using Mayring’s qualitative content analysis.ResultsPatients (33% females; mean age 54.6±16.3 years; 10.4±8.4 months post-alloSCT) used medication adherence enhancing strategies (eg, preparing pillbox, linking intake to a habit). Still, they indicated that post-alloSCT medication management was challenging (eg, frequent schedule changes). All participants preferred the MEMS Button. Participants said its small size and the possibility to combine it with existing pillboxes (eg, putting it into/next to them) made them more confident about implementing it in their daily lives.ConclusionRegarding EM systems for medication adherence, end-user preferences and acceptability influence adoption and fidelity. Of the three systems tested, our sample found the MEMS Button most acceptable and most preferable. Therefore, we will use it for our USB SMILe study.

Developing a risk-informed decision-support system for earthquake early warning at a critical seaport

Earthquake early warning (EEW) systems are used to provide timely alerts on ongoing earthquakes, which can facilitate important risk-mitigation actions before potentially damaging seismic waves reach target sites. A major shortcoming of existing EEW approaches is that the earthquake-related conditions for activating alerts are not generally defined according to a formal decision-support system (DSS) that accounts for possible risk-based consequences of triggering/not triggering the alarm. This paper exploits a next-generation risk-informed EEW DSS, which incorporates multi-criteria decision-making for evaluating the optimal decision. The proposed DSS integrates engineering-driven loss predictions associated with issuing/not issuing an EEW alert during an event, also considering possible system malfunctions. The DSS is demonstrated for the strategic Gioia Tauro seaport, located in a region with some of the highest seismic hazard in Italy. Real-time seismic risk analyses are conducted for various earthquake scenarios, accounting for event-parameter uncertainties that are integral to any EEW process and considering the multicomponent nature of the port as a system of interconnected elements. The results of these analyses are used as input to the proposed EEW DSS along with end-user risk preferences, to evaluate the optimal decision in each case and to define a series of risk-informed EEW warning thresholds for the port.

Reflections on the Customer Decision-Making Process in the Digital Insurance Platforms: An Empirical Study of the Baltic Market

Multifold effects of the COVID-19 global health crisis and economic lockdowns are reflected in the insurance industry, and are predicted to expand to the post-COVID-19 era. It is expected that, within a short period of time, the current worldwide situation, in regards to the coronavirus pandemic, will be reflected in new trends, regarding customer behavior, organizational management, and culture, as well as reveal improved business management models, legacy infrastructure, and service systems in insurance organizations. Here, a focus on end-user preferences, data, and their behavior modeling in digital platforms are major practical drivers within the modern insurance concept, but there is a paucity of researches within the theoretical synthesis of consumer decision-making (CDM) models, information system theories, and behavioral economics concerning modern insurance-specific value chains and digitalized decision-making processes. Therefore, the following research aims to expand upon the existing scientific knowledge of end-user behavioral patterns and process frameworks in the Baltic insurance market, by including and examining a factor group of technological enablers and a digital environment. Research results in digitalization, personalization, and customization levels within the Baltic non-life insurance market are homogenous with a leading position of Estonia and overall evaluations ranging between Satisfied and Rather Good. There are also three major factor groups and process stages identified, which influence insurance purchase decision-making in digital insurance platforms in the Baltic market.

IMPACT OF OIL VISCOSITY ON TEMPERATURE, pH, OSMOLALITY, AND EMBRYO CULTURE

The use of oil during in vitro gamete/embryo culture and manipulation can help to stabilize temperature (To), pH and osmolality (osm.). Many oils are available for use in human IVF but the differences among them remain understudied. Oil viscosity differs between brands and is typically regarded as just an end user preference for comfort. This study aims to compare oils with distinct viscosities regarding their effect on To, pH and osm. variation and outcomes after mouse embryo culture.

End-user Preference for and Understanding of Hurricane Forecast Graphs

Hurricane forecast graphics have the challenging task of communicating information about spatio-temporal uncertainty. This study assesses the impact of graph literacy and graph format on user preference and understanding. In a laboratory setting, we compared user responses to official National Hurricane Center advisory maps and alternative visualizations. Results indicate that prior experience with a visualization drives preference and that graph literacy, visualization format, and tropical cyclone characteristics, in combination, influence interpretations of hurricane forecast track. The findings from this study are expected to inform redesign efforts of hurricane risk communication products.

Advances in long-acting injectables, implants, and vaginal rings for contraception and HIV prevention.

Worldwide, women face compounding reproductive health risks, including human immunodeficiency virus (HIV), sexually-transmitted infections (STIs), and unintended pregnancy. Multipurpose prevention technologies (MPTs) offer combined protection against these overlapping risks in singular prevention products that offer potential for simplified use, lower burden, higher acceptability, and increased public health benefits. Over the past decade, substantial progress has been made in development of extended-release MPTs, which have further potential to grant sexual and reproductive health autonomy to women globally and to offer choice for women to accommodate varying needs during their reproductive lives. Here, we highlight the advances made in injectable, implant, and ring delivery forms, and the importance of incorporating end-user preferences early in the research and development of these products.

Predictive models with end user preference

AbstractClassical machine learning models typically try to optimize the model based on the most discriminatory features of the data; however, they do not usually account for end user preferences. In certain applications, this can be a serious issue as models not aware of user preferences could become costly, untrustworthy, or privacy‐intrusive to use, thus becoming irrelevant and/or uninterpretable. Ideally, end users with domain knowledge could propose preferable features that the predictive model could then take into account. In this paper, we propose a generic modeling method that respects end user preferences via a relative ranking system to express multi‐criteria preferences and a regularization term in the model's objective function to incorporate the ranked preferences. In a more generic perspective, this method is able to plug user preferences into existing predictive models without creating completely new ones. We implement this method in the context of decision trees and are able to achieve a comparable classification accuracy while reducing the use of undesirable features.

Midwives' Experiences with and Perspectives on Online (Nutritional) Counselling and mHealth Applications for Pregnant Women; an Explorative Qualitative Study.

Prenatal nutrition is a key predictor of early-life development. However, despite mass campaigns to stimulate healthy nutrition during pregnancy, the diet of Dutch pregnant women is often suboptimal. Innovative technologies offer an opportunity to develop tailored tools, which resulted in the release of various apps on healthy nutrition during pregnancy. As midwives act as primary contact for Dutch pregnant women, the goal was to explore the experiences and perspectives of midwives on (1) nutritional counselling during pregnancy, and (2) nutritional mHealth apps to support midwifery care. Analyses of eleven in-depth interviews indicated that nutritional counselling involved the referral to websites, a brochure, and an app developed by the Dutch Nutrition Centre. Midwives were aware of the existence of other nutritional mHealth apps but felt uncertain about their trustworthiness. Nevertheless, midwives were open towards the implementation of new tools providing that these are trustworthy, accessible, user-friendly, personalised, scientifically sound, and contain easy-digestible information. Midwives stressed the need for guidelines for professionals on the implementation of new tools. Involving midwives early-on in the development of future nutritional mHealth apps may facilitate better alignment with the needs and preferences of end-users and professionals, and thus increase the likelihood of successful implementation in midwifery practice.

Joint procurement of complex products: actual price savings, perceived nonmonetary advantages, disadvantages and impediments

Purpose Little is known about actual price savings generated by cooperative purchasing and nonmonetary advantages, disadvantages and impediments for the cooperative purchasing of complex or high-risk purchases. This paper aims to explore these topics by studying joint purchasing of pacemakers in The Netherlands. Design/methodology/approach To evaluate the magnitude of price savings, data on individual and collective prices for 18 hospitals was analyzed. In addition, 16 interviews were carried out with representatives of hospitals that participated and did not participate in the joint purchase. Findings Based on quantitative and qualitative data, the authors found large differences in price savings which can be attributed to scale, but mostly to knowledge of the group and renewing a contract in a technology-driven and developing market. Limited product choice – because of an organization joining a cooperative – constrained the attractiveness of cooperative purchasing, as end users may have specific product preferences. The consideration of preferences of end users is important toward successful joint purchasing of complex items. Social implications The authors argue that price savings because of scale are about 7% for smaller organizations and 4% for larger organizations. For smaller organizations with low specific knowledge and capacity for buying complex products, economies of process and knowledge are more important reasons for joining a purchasing group than scale. For large organizations with high specific knowledge and capacity, scale is the most important reason. Originality/value This study combined qualitative and quantitative perspectives, using actual spend data, to investigate cooperative purchasing of high-risk or complex purchases. On the one hand, more insight into the magnitude and reasons for price savings is provided than in earlier literature. On the other hand, more insight is given in qualitative reasons for joining a group and challenges for cooperative purchasing of complex items.

Contraceptive values and preferences of adolescents and young adults: A systematic review

ObjectiveWe sought to systematically review the literature on values and preferences for contraception among adolescents and young adults globally. Study designWe searched ten electronic databases for articles from January 1, 2005 through July 27, 2020 regarding end-users' values and preferences for contraception. We included studies that report specifically on people up to 25 years old. ResultsFifty-five studies out of 7,846 met our inclusion criteria. These studies included participants aged 10-25 years and were conducted in 16 countries. Through open coding, we identified 18 content areas. The five most commonly discussed content areas were: (1) general preferences regarding contraception, (2) contraceptive method benefits, (3) contraceptive method drawbacks, (4) the influence of the social context, and (5) the influence of myths and misconceptions, including safety and side effects, on contraceptive choice. Privacy and autonomy were important overarching themes, along with safety of the method. These considerations affected participants’ access to and use of contraception. ConclusionVarious social, cultural, and method-specific factors influence a young person's values and preferences around contraceptive methods. Understanding their values and preferences can help providers and programs improve contraceptive care for young people.

Coping with Diversity - A System for End-users to Customize Web User Interfaces

To address diverse interaction needs of heterogeneous users' groups, user interfaces must be flexible to accommodate for customization that are specific to each user profile. Although, existing web interfaces provide some flexibility, some problems still remain: a) manual adjustments carried out by end users are required for each web application; b) the flexibility provided by current web interfaces is insufficient to address diverse interaction needs of various users' profiles and c) few users are aware about such options to customize the presentation of web interfaces. To contribute to the customization of user interface according to the needs of diverse users, in this work we asses the suitability of a tool that customize web interfaces based on the needs and preferences of end users. UIFlex is a web-based browser plugin that enables users to define their interaction profile. In this task, users are supported by fifteen web-based design rules that were extracted from the literature and the knowledge of authorities. To customize the presentation of web interfaces, UIFlex relies on a set of rules defined for each individual user and "injects" JavaScript codes, Cascading Style Sheets (CSS) and in some cases HyperText Markup Language (HTML) codes in any page that follows W3C standards. UIFlex was evaluated by 104 users of diverse interaction profiles. The results obtained are promising and suggest that the solution improves the perception that the interactive system performs as desired by users.

HPV self-sampling for cervical cancer screening: a systematic review of values and preferences

IntroductionThe WHO recommends human papillomavirus (HPV) cervical self-sampling as an additional screening method and HPV DNA testing as an effective approach for the early detection of cervical cancer for women...

Electric bicycles, next generation low carbon transport systems: A survey

Electrical assisted bicycles (e-Bikes) represent an emerging sustainable mode of transport for future smart cities. Several designs issues impact policy in several countries such as the UK, Europe and the USA. As e-bike usage continues to grow, so too will the need for further research, in order to provide the necessary data to inform industrialists what cycling features matters for a wider, diverse and sustainable adoption of this mode of transport. This investigation discusses results from a survey on end-user preferences for future e-Bikes that will be developed in the coming years. User preferences related to safety and convenience were defined using market reviews and responses gathered from 638 potential users mainly from Europe and North America. Data were analysed to rank the importance of desired functionality to improve the uptake of cycling within urban environments. In general, the results indicate that safety and convenience features were equally valued across the whole sample size. ‘Gradient Climb Assist’ and ‘Break Lights & Indicators’ were respectively the most preferred convenience and safety feature. This survey showed how respondents expressed a desire for a more intelligent, secure and adaptive e-Bikes.

Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs

This paper presents a self-scheduling model for home energy management systems (HEMS) in which a novel formulation of a linear discomfort index (DI) is proposed, incorporating the preferences of end-users in the daily operation of home appliances. The HEMS self-scheduling problem is modelled as a mixed-integer linear programming (MILP) multi-objective problem, aimed at minimizing the energy bill and DI. In this framework, the proposed DI determines the optimal time slots for the operation of home appliances while minimizing end-users’ bills. The resulting multi-objective optimization problem has then been solved by using the epsilon-constraint technique and the VIKOR decision maker has been employed to select the most desired Pareto solution. The proposed model is tested considering tariffs in the presence of various price-based demand response programs (DRP), namely time-of-use (TOU) and real-time pricing (RTP). In addition, different scenarios considering the presence of electrical energy storage (EES) are investigated to study their impact on the optimal operation of HEMS. The simulation results show that the self-scheduling approach proposed in this paper yields significant reductions in the electricity bills for different electricity tariffs.

Mothers intention and preference to use mobile phone text message reminders for child vaccination in Northwest Ethiopia

ObjectivesWith the unprecedented penetration of mobile devices in the developing world, mHealth applications are being leveraged for different health domains. Among the different factors that affect the use of mHealth...

Intense: In-Depth Studies on Stall Events and Quality Switches and Their Impact on the Quality of Experience in HTTP Adaptive Streaming

With the recent growth of multimedia traffic over the Internet and emerging multimedia streaming service providers, improving Quality of Experience (QoE) for HTTP Adaptive Streaming (HAS) becomes more important. Alongside other factors, such as the media quality, HAS relies on the performance of the media player’s Adaptive Bitrate (ABR) algorithm to optimize QoE in multimedia streaming sessions. QoE in HAS suffers from weak or unstable internet connections and suboptimal ABR decisions. As a result of imperfect adaptiveness to the characteristics and conditions of the internet connection, stall events and quality level switches could occur and with different durations that negatively affect the QoE. In this paper, we address various identified open issues related to the QoE for HAS, notably (i) the minimum noticeable duration for stall events in HAS; (ii) the correlation between the media quality and the impact of stall events on QoE; (iii) the end-user preference regarding multiple shorter stall events versus a single longer stall event; and (iv) the end-user preference of media quality switches over stall events. Therefore, we have studied these open issues from both objective and subjective evaluation perspectives and presented the correlation between the two types of evaluations. The findings documented in this paper can be used as a baseline for improving ABR algorithms and policies in HAS.

Proposed Features for a Digital Nutrition Intervention for Managing Parkinson’s Disease

Digital health technologies can enhance quality of care for people with Parkinson’s disease (PwPD) and their informal caregivers (ICG), but research in this area is lacking. Developing digital health nutrition services incorporating end-user preferences is essential. This cross-sectional, mixed-method study assessed 20 PwPD and their ICG. Participants reported sources they first search for when seeking health information, the amount of effort it takes to find the information, their confidence level in finding reliable health information, and their level of trust of information obtained. Semi-structured dyadic interviews obtained information about technology, digital health, and nutrition. Transcripts were double coded by two researchers to identify nutrition service features and a >80% agreement was achieved. The mean age was 68.1±11.2 years and 65% of PwPD were male, while 80% of ICG were female. Most PwPD and ICG (82.5%) went to the internet the last time they looked up health information, and about 1/3 reported it took a lot of effort to get this information. Nearly half were concerned about the quality of the information, and approximately 70% had issues trusting health information from government agencies or diet programs. Six themes around key features for a digital nutrition intervention emerged: tailored and specific, inclusion of caregivers, promote self-efficacy, from a nutrition expert, contain a social element, and include a follow-up session. The results suggest that digital health interventions will need to be tailored to meet the needs of PwPD and their ICG.

Identification of cassava quality attributes preferred by Ugandan users along the food chain.

This study aimed to identify cassava quality attributes preferred by users along the food chain, in order to provide breeders with criteria for prioritisation. Survey and consumer-testing studies were conducted within Apac and Luwero districts in Uganda. Additionally, sensory evaluation by trained panellists was conducted to determine descriptors for assessing quality of boiled roots. Results revealed softness of boiled roots and in-ground storability as key attributes influencing varietal preference besides high yield, non-bitter roots, disease resistance, early maturity and drought resistance. For some attributes like in-ground storability, preference differed significantly between locations and showed differentiation by gender. Local varieties were found to be superior in quality attributes. From sensory evaluation, twenty-one descriptors associated with appearance, texture, taste and aroma of boiled roots were determined. Findings from this study are vital for breeders to adopt gender-responsive approaches in order to develop varieties that meet the needs and preferences of end users.