Embodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study

BACKGROUND

Embodied conversational agents (ECAs) have great potential for health apps but are rarely investigated as part of such apps. To promote the uptake of health apps, we need to understand how the design of ECAs can influence the preferences, motivation, and behavior of users.

OBJECTIVE

This is one of the first studies that investigates how the appearance of an ECA implemented within a health app affects users' likeliness of following agent advice, their perception of agent characteristics, and their feeling of rapport. In addition, we assessed usability and intention to use.

METHODS

The ECA was implemented within a frailty assessment app in which three health questionnaires were translated into agent dialogues. In a within-subject experiment, questionnaire dialogues were randomly offered by a young female agent or an older male agent. Participants were asked to think aloud during interaction. Afterward, they rated the likeliness of following the agent's advice, agent characteristics, rapport, usability, and intention to use and participated in a semistructured interview.

RESULTS

A total of 20 older adults (72.2 [SD 3.5] years) participated. The older male agent was perceived as more authoritative than the young female agent (P=.03), but no other differences were found. The app scored high on usability (median 6.1) and intention to use (median 6.0). Participants indicated they did not see an added value of the agent to the health app.

CONCLUSIONS

Agent age and gender little influence users' impressions after short interaction but remain important at first glance to lower the threshold to interact with the agent. Thus, it is important to take the design of ECAs into account when implementing them into health apps.

Social Robots for Elderly Care: An Inventory of Promising Use Cases and Business Models

This paper discusses a study that aimed to elicit promising application areas and potential business models for social robotics in healthcare. For this goal, we conducted focus groups with care professionals and the management of elderly care organizations in the Netherlands and Germany. Three use cases were mentioned as the most promising: the robot as a ubiquitous aid, the robot as a helper in the room, and the robot as a guide. Finally, we discuss the implications of the medical device and privacy legislation for these three use cases.

An intervention study to assess potential effect and user experience of an mHealth intervention to reduce sedentary behaviour among older office workers

BACKGROUND

Office workers spend a high percentage of their time sitting, often in long periods of time. Research suggests that it is healthier to break these long bouts into shorter periods by being physically active.

OBJECTIVE

We evaluated the effect of a context-aware activity coach, called the PEARL app, an mHealth intervention that provides activity suggestions, based on a physical activity prediction model, consisting of past and current physical activity and digital agendas.

METHOD

Fifteen office workers, aged 50+, participated in an intervention study in which they used the intervention for 1 week, preceded by a 1-week baseline period. Measurements were taken before and after the intervention period.

RESULTS

107 days of data from 14 participants were analysed. Total sedentary time was not reduced as a result of using the intervention (baseline vs intervention: 47.8±3.6 vs 46.8±3.0, n.s.). When using the intervention, participants reduced their total time spent in long sitting bouts (≥45 min) from 19.3 to 14.4 min per hour of wear time (p<0.05). Participants indicated that the main value of the intervention lies in creating awareness about their personal sedentary behaviour pattern.

CONCLUSION

An mHealth service has the potential to improve the sedentary behaviour of older office workers, especially for breaking up long sedentary periods. Focusing on total sedentary time as an outcome of an intervention, aimed at reducing sedentary behaviour, is too simplistic. One should take into account both the duration and the number of bouts when determining the effect.

Pattern measures of sedentary behaviour in adults: A literature review

Objective

With sensors, we are increasingly able to assess sitting behaviour during the day. However, there is no consensus among researchers on the best outcome measures for representing the accumulation of sedentary time during the day.

Methods

We analysed the pattern measures of sedentary behaviour. Articles reporting patterns measures in adults, in which behaviour data was collected with a sensor were included. We discuss the strengths and weaknesses of the pattern measures of sedentary behaviour and provide recommendations for choosing objective measures of sedentary behaviour.

Results

Most studies report the number of sitting bouts during the day. Others focus on the number of breaks and/or periods of physical activity. Simple measures of sedentary behaviour were most popular. More complex pattern measures, such as the Gini index or the half-life bout duration, that capture the distribution of lengths of sitting periods in a single number, were reported sparsely. The sedentary patterns that were reported in the various studies were difficult to compare, due to the differences among measurement devices, data analysis protocols and a lack of basic outcome parameters such as total wear-time and total sedentary time.

Conclusions

Objective sedentary measures can be grouped into simple and complex measures of sedentary time accumulation during the day. These measures serve different goals. The answer to the question as to which measures are most suitable to report, is strongly dependent on the research question. We have shown that the reported measures were dependent on (a) the sensing method, (b) the classification method, (c) the experimental and data cleaning protocol and (d) the applied definitions of bouts and breaks. We recommend that studies should always report total wear-time, total sedentary time, number of bouts and at least one measure describing the diversity of bout lengths in the sedentary behaviour such as the half-life bout duration. Additionally, we recommend reporting the measurement conditions and data processing steps.

Developing Embodied Conversational Agents for Coaching People in a Healthy Lifestyle: Scoping Review

BACKGROUND

Embodied conversational agents (ECAs) are animated computer characters that simulate face-to-face counseling. Owing to their capacity to establish and maintain an empathic relationship, they are deemed to be a promising tool for starting and maintaining a healthy lifestyle.

OBJECTIVE

This review aimed to identify the current practices in designing and evaluating ECAs for coaching people in a healthy lifestyle and provide an overview of their efficacy (on behavioral, knowledge, and motivational parameters) and use (on usability, usage, and user satisfaction parameters).

METHODS

We used the Arksey and O'Malley framework to conduct a scoping review. PsycINFO, Medical Literature Analysis and Retrieval System Online, and Scopus were searched with a combination of terms related to ECA and lifestyle. Initially, 1789 unique studies were identified; 20 studies were included.

RESULTS

Most often, ECAs targeted physical activity (n=16) and had the appearance of a middle-aged African American woman (n=13). Multiple behavior change techniques (median=3) and theories or principles (median=3) were applied, but their interpretation and application were usually not reported. ECAs seemed to be designed for the end user rather than with the end user. Stakeholders were usually not involved. A total of 7 out of 15 studies reported better efficacy outcomes for the intervention group, and 5 out of 8 studies reported better use-related outcomes, as compared with the control group.

CONCLUSIONS

ECAs are a promising tool for persuasive communication in the health domain. This review provided valuable insights into the current developmental processes, and it recommends the use of human-centered, stakeholder-inclusive design approaches, along with reporting on the design activities in a systematic and comprehensive manner. The gaps in knowledge were identified on the working mechanisms of intervention components and the right timing and frequency of coaching.

Tailoring Persuasive Electronic Health Strategies for Older Adults on the Basis of Personal Motivation: Web-Based Survey Study

Background

Persuasive design, in which the aim is to change attitudes and behaviors by means of technology, is an important aspect of electronic health (eHealth) design. However, selecting the right persuasive feature for an individual is a delicate task and is likely to depend on individual characteristics. Personalization of the persuasive strategy in an eHealth intervention therefore seems to be a promising approach.

Objective

This study aimed to develop a method that allows us to model motivation in older adults with respect to leading a healthy life and a strategy for personalizing the persuasive strategy of an eHealth intervention, based on this user model.

Methods

We deployed a Web-based survey among older adults (aged >60 years) in the Netherlands. In the first part, we administered an adapted version of the revised Sports Motivation Scale (SMS-II) as input for the user models. Then, we provided each participant with a selection of 5 randomly chosen mock-ups (out of a total of 11), each depicting a different persuasive strategy. After showing each strategy, we asked participants how much they appreciated it. The survey was concluded by addressing demographics.

Results

A total of 212 older adults completed the Web-based survey, with a mean age of 68.35 years (SD 5.27 years). Of 212 adults, 45.3% were males (96/212) and 54.7% were female (116/212). Factor analysis did not allow us to replicate the 5-factor structure for motivation, as targeted by the SMS-II. Instead, a 3-factor structure emerged with a total explained variance of 62.79%. These 3 factors are intrinsic motivation, acting to derive satisfaction from the behavior itself (5 items; Cronbach alpha=.90); external regulation, acting because of externally controlled rewards or punishments (4 items; Cronbach alpha=.83); and a-motivation, a situation where there is a lack of intention to act (2 items; r=0.50; P<.001). Persuasive strategies were appreciated differently, depending on the type of personal motivation. In some cases, demographics played a role.

Conclusions

The personal type of motivation of older adults (intrinsic, externally regulated, and/or a-motivation), combined with their educational level or living situation, affects an individual’s like or dislike for a persuasive eHealth feature. We provide a practical approach for profiling older adults as well as an overview of which persuasive features should or should not be provided to each profile. Future research should take into account the coexistence of multiple types of motivation within an individual and the presence of a-motivation.

The use of technology in the context of frailty screening and management interventions: a study of stakeholders' perspectives

Background

Health and social care interventions show promise as a way of managing the progression of frailty in older adults. Information technology could improve the availability of interventions and services for older adults. The views of stakeholders on the acceptability of technological solutions for frailty screening and management have not been explored.

Methods

Focus groups were used to gather data from healthy and frail/pre-frail older adults, health and social care providers, and caregivers in three European countries – Italy, Poland and UK. Data were analysed using framework analysis in terms of facilitators or determinants of older adults’ adoption of technology.

Results

Our findings clustered around the perceived value; usability, affordability and accessibility; and emotional benefits of frailty screening and management technology to stakeholders. We also noted issues relating to social support, previous experience of technology and confidence of stakeholders.

Conclusions

Professionals and caregivers understand the benefits of technology to facilitate frailty care pathways but these views are tempered by concerns around social isolation. Frail older adults raised legitimate concerns about the accessibility and usability of technology, specifically around the potential for their personal information to be compromised. Solutions must be developed within a framework that addresses social contexts and avoids stigma around frailty and ageing.

Assessing usability of eHealth technology: A comparison of usability benchmarking instruments

BACKGROUND

It is generally assumed that usability benchmarking instruments are technology agnostic. The same methods for usability evaluations are used for digital commercial, educational, governmental and healthcare systems. However, eHealth technologies have unique characteristics. They need to support patients' health, provide treatment or monitor progress. Little research is done on the effectiveness of different benchmarks (qualitative and quantitative) within the eHealth context.

OBJECTIVES

In this study, we compared three usability benchmarking instruments (logging task performance, think aloud and the SUS, the System Usability Scale) to assess which metric is most indicative of usability in an eHealth technology. Also, we analyzed how these outcome variables (task completion, system usability score, serious and critical usability issues) interacted with the acceptance factors Perceived benefits, Usefulness and Intention to use.

METHODS

A usability evaluation protocol was set up that incorporated all three benchmarking methods. This protocol was deployed among 36 Dutch participants and across three different eHealth technologies: a gamified application for older adults (N = 19), an online tele-rehabilitation portal for healthcare professionals (N = 9), and a mobile health app for adolescents (N = 8).

RESULTS

The main finding was that task completion, compared to the SUS, had stronger correlations with usability benchmarks. Also, serious and critical issues were stronger correlated to task metrics than the SUS. With regard to acceptance factors, there were no significant differences between the three usability benchmarking instruments.

CONCLUSIONS

With this study, we took a first step in examining how to improve usability evaluations for eHealth. The results show that listing usability issues from think aloud protocols remains one of the most effective tools to explain the usability for eHealth. Using the SUS as a stand-alone usability metric for eHealth is not recommended. Preferably, the SUS should be combined with task metrics, especially task completion. We recommend to develop a usability benchmarking instrument specifically for eHealth.

Identification of community-dwelling older adults at risk of frailty using the PERSSILAA screening pathway: a methodological guide and results of a large-scale deployment in the Netherlands

Background

Among community-dwelling older adults, frailty is highly prevalent and recognized as a major public health concern. To prevent frailty it is important to identify those at risk of becoming frail, but at present, no accepted screening procedure is available.

Methods

The screening process developed as part of the PERSSILAA project is a two-step screening pathway. First, older adults are asked to complete a self-screening questionnaire to assess their general health status and their level of decline on physical, cognitive and nutritional domains. Second, older adults who, according to step one, are at risk of becoming frail, are invited for a face-to-face assessment focusing on the domains in depth. We deployed the PERSSILAA screening procedure in primary care in the Netherlands.

Results

In total, baseline data were available for 3777 community-dwelling older adults (mean age 69.9 (SD ± 3.8)) who completed first step screening. Based on predefined cut-off scores, 16.8% of the sample were classified as frail (n = 634), 20.6% as pre-frail (n = 777), and 62.3% as robust (n = 2353). Frail subjects were referred back to their GP without going through the second step. Of the pre-frail older adults, 69.7% had evidence of functional decline on the physical domain, 67% were overweight or obese and 31.0% had evidence of cognitive decline.

Conclusion

Pre-frailty is common among community-dwelling older adults. The PERSSILAA screening approach is a multi-factor, two-step screening process, potentially useful for primary prevention to identify those at risk of frailty and who will benefit most from preventive strategies.

Understanding the Acceptance of an eHealth Technology in the Early Stages of Development: An End-User Walkthrough Approach and Two Case Studies

Background

Studies that focus on the acceptance of an electronic health (eHealth) technology generally make use of surveys. However, results of such studies hold little value for a redesign, as they focus only on quantifying end-user appreciation of general factors (eg, perceived usefulness).

Objective

We present a method for understanding end-user acceptance of an eHealth technology, early in the development process: The eHealth End-User Walkthrough.

Methods

During a walkthrough, a participant is guided by using the technology via a scenario, a persona, and a low-fidelity protoype. A participant is questioned about factors that may affect acceptance during and after the demonstration. We show the value of the method via two case studies.

Results

During the case studies, participants commented on whether they intend to use a technology and why they would (not) use its main features. They also provided redesign advice or input for additional functions. Finally, the sessions provide guidance for the generation of business models and implementation plans.

Conclusions

The eHealth End-User Walkthrough can aid design teams in understanding the acceptance of their eHealth application in a very early stage of the design process. Consequently, it can prevent a mismatch between technology and end-users’ needs, wishes and context.

Lessons Learned From a Living Lab on the Broad Adoption of eHealth in Primary Health Care

Background

Electronic health (eHealth) solutions are considered to relieve current and future pressure on the sustainability of primary health care systems. However, evidence of the effectiveness of eHealth in daily practice is missing. Furthermore, eHealth solutions are often not implemented structurally after a pilot phase, even if successful during this phase. Although many studies on barriers and facilitators were published in recent years, eHealth implementation still progresses only slowly. To further unravel the slow implementation process in primary health care and accelerate the implementation of eHealth, a 3-year Living Lab project was set up. In the Living Lab, called eLabEL, patients, health care professionals, small- and medium-sized enterprises (SMEs), and research institutes collaborated to select and integrate fully mature eHealth technologies for implementation in primary health care. Seven primary health care centers, 10 SMEs, and 4 research institutes participated.

Objective

This viewpoint paper aims to show the process of adoption of eHealth in primary care from the perspective of different stakeholders in a qualitative way. We provide a real-world view on how such a process occurs, including successes and failures related to the different perspectives.

Methods

Reflective and process-based notes from all meetings of the project partners, interview data, and data of focus groups were analyzed systematically using four theoretical models to study the adoption of eHealth in primary care.

Results

The results showed that large-scale implementation of eHealth depends on the efforts of and interaction and collaboration among 4 groups of stakeholders: patients, health care professionals, SMEs, and those responsible for health care policy (health care insurers and policy makers). These stakeholders are all acting within their own contexts and with their own values and expectations. We experienced that patients reported expected benefits regarding the use of eHealth for self-management purposes, and health care professionals stressed the potential benefits of eHealth and were interested in using eHealth to distinguish themselves from other care organizations. In addition, eHealth entrepreneurs valued the collaboration among SMEs as they were not big enough to enter the health care market on their own and valued the collaboration with research institutes. Furthermore, health care insurers and policy makers shared the ambition and need for the development and implementation of an integrated eHealth infrastructure.

Conclusions

For optimal and sustainable use of eHealth, patients should be actively involved, primary health care professionals need to be reinforced in their management, entrepreneurs should work closely with health care professionals and patients, and the government needs to focus on new health care models stimulating innovations. Only when all these parties act together, starting in local communities with a small range of eHealth tools, the potential of eHealth will be enforced.

The Reliability of Using Tablet Technology for Screening the Health of Older Adults

In this study, we assessed the reliability of using a tablet application for collecting health data among older adults, in comparison to using paper surveys for this goal. Test-retest reliability between the two modalities, usability, user experience factors, and older adults' preference were determined. The results show perfect agreement between tablet and paper for the SARC-F and high agreement for the SF-36 physical scale and EQ-5D. Usability and user experience factors were perceived the same for both modalities. The majority of the participants preferred the tablet for health screening purposes, mainly because of its ease of use. This study shows that using tablets for health screenings among older adults does not affect test reliability, and that older adults prefer the tablet to paper for completing these tests.

Fit by Bits: An Explorative Study of Sports Physiotherapists' Perception of Quantified Self Technologies

Our aim was to determine sport physiotherapists' attitudes towards Quantified Self technology usage and adoption and to analyze factors that may influence this attitude. A survey was used to study a sample in the Netherlands. Assessment was made of attitudes of towards Quantified Self technology usage by clients of therapists, by therapists themselves and intention to adopt Quantified Self technology. Results show that the uptake of Quantified Self technology by sports physiotherapists is rather low but that the intention to adopt Quantified Self technology by sports physiotherapists is quite high. These results can provide a foundation to provide an infrastructure for sports physiotherapists to fulfill their wishes with regard to Quantified Self technology.

Exploring Determinants of Patient Adherence to a Portal-Supported Oncology Rehabilitation Program: Interview and Data Log Analyses

Background

Telemedicine applications often do not live up to their expectations and often fail once they have reached the operational phase.

Objective

The objective of this study was to explore the determinants of patient adherence to a blended care rehabilitation program, which includes a Web portal, from a patient’s perspective.

Methods

Patients were enrolled in a 12-week oncology rehabilitation treatment supported by a Web portal that was developed in cooperation with patients and care professionals. Semistructured interviews were used to analyze thought processes and behavior concerning patient adherence and portal use. Interviews were conducted with patients close to the start and the end of the treatment. Besides, usage data from the portal were analyzed to gain insights into actual usage of the portal.

Results

A total of 12 patients participated in the first interview, whereas 10 participated in the second round of interviews. Furthermore, portal usage of 31 patients was monitored. On average, 11 persons used the portal each week, with a maximum of 20 in the seventh week and a drop toward just one person in the weeks in the follow-up period of the treatment. From the interviews, it was derived that patients’ behavior in the treatment and use of the portal was primarily determined by extrinsic motivation cues (eg, stimulation by care professionals and patient group), perceived severity of the disease (eg, physical and mental condition), perceived ease of use (eg, accessibility of the portal and the ease with which information is found), and perceived usefulness (eg, fit with the treatment).

Conclusions

The results emphasized the impact that care professionals and fellow patients have on patient adherence and portal usage. For this reason, the success of blended care telemedicine interventions seems highly dependent on the willingness of care professionals to include the technology in their treatment and stimulate usage among patients.

Measuring patient trust in telemedicine services: Development of a survey instrument and its validation for an anticoagulation web-service

BACKGROUND

For many eServices, end-user trust is a crucial prerequisite for use. For the telemedicine context however, knowledge about the coming about and measurement of end-user trust is scarce.

OBJECTIVE

To develop and validate the PAtient Trust Assessment Tool (PATAT): a survey instrument to quantitatively assess patient trust in a telemedicine service.

METHODS

Informed by focus groups, we developed a survey that includes measurement scales for the following factors: trust in the care organization, care professional, treatment, and technology, as well as a scale that assesses a holistic view on trust in the telemedicine service. The survey was completed by 795 patients that use a telemedicine application to manage their anticoagulation treatment. Data were analyzed by means of Partial Least Squares Structural Equation Modeling (PLS-SEM).

RESULTS

The measurement model yielded good to excellent quality measures, after the removal of one item. The causal model resulted in high explained variance (R²=0.68). Trust in healthcare professionals and the treatment had a small effect on overall trust, while trust in the technology displayed a large effect. Trust in the care organization did not result in a significant effect on overall trust.

CONCLUSION

The PATAT is a valid means to assess patient trust in a telemedicine service and can be used to benchmark such a service or to elicit redesign input.

Value-based design for the elderly: An application in the field of mobility aids

In the aging society, the need for the elderly to remain mobile and independent is higher than ever. However, many aids supporting mobility often fail to target real needs and lack acceptance. The aim of this study is to demonstrate how value-based design can contribute to the design of mobility aids that address real needs and thus, lead to high acceptance. We elicited values, facilitators, and barriers of mobility of older adults via ten in-depth interviews. Next, we held co-creation sessions, resulting in several designs of innovative mobility aids, which were evaluated for acceptance via nine in-depth interviews. The interviews resulted in a myriad of key values, such as "independence from family" and "doing their own groceries." Design sessions resulted in three designs for a wheeled walker. Their acceptance was rather low. Current mobility device users were more eager to accept the designs than non-users. The value-based approach offers designers a close look into the lives of the elderly, thereby opening up a wide range of innovation possibilities that better fit their actual needs. Product service systems seem to be a promising focus for targeting human needs in mobility device design.

Sedentary Behaviour Profiling of Office Workers: A Sensitivity Analysis of Sedentary Cut-Points

Measuring sedentary behaviour and physical activity with wearable sensors provides detailed information on activity patterns and can serve health interventions. At the basis of activity analysis stands the ability to distinguish sedentary from active time. As there is no consensus regarding the optimal cut-point for classifying sedentary behaviour, we studied the consequences of using different cut-points for this type of analysis. We conducted a battery of sitting and walking activities with 14 office workers, wearing the Promove 3D activity sensor to determine the optimal cut-point (in counts per minute (m·s(-2))) for classifying sedentary behaviour. Then, 27 office workers wore the sensor for five days. We evaluated the sensitivity of five sedentary pattern measures for various sedentary cut-points and found an optimal cut-point for sedentary behaviour of 1660 × 10(-3) m·s(-2). Total sedentary time was not sensitive to cut-point changes within ±10% of this optimal cut-point; other sedentary pattern measures were not sensitive to changes within the ±20% interval. The results from studies analyzing sedentary patterns, using different cut-points, can be compared within these boundaries. Furthermore, commercial, hip-worn activity trackers can implement feedback and interventions on sedentary behaviour patterns, using these cut-points.

Advancing Telemedicine Services for the Aging Population: The challenge of Interoperability

We reflect on our experiences in two projects in which we developed interoperable telemedicine applications for the aging population. While technically data exchange could be implemented technically, uptake was impeded by a lack of working procedures. We argue that development of interoperable health technology for the aging population should go accompanied by a thorough study into working protocols by consulting all end-users and stakeholders.

Participatory eHealth development to support nurses in antimicrobial stewardship

BACKGROUND

Antimicrobial resistance poses a threat to patient safety worldwide. To stop antimicrobial resistance, Antimicrobial Stewardship Programs (ASPs; programs for optimizing antimicrobial use), need to be implemented. Within these programs, nurses are important actors, as they put antimicrobial treatment into effect. To optimally support nurses in ASPs, they should have access to information that supports them in their preparation, administration and monitoring tasks. In addition, it should help them to detect possible risks or adverse events associated with antimicrobial therapy. In this formative study, we investigate how nurses' can be supported in ASPs by means of an eHealth intervention that targets their information needs.

METHODS

We applied a participatory development approach that involves iterative cycles in which health care workers, mostly nurses, participate. Focus groups, observations, prototype evaluations (via a card sort task and a scenario-based information searching task) and interviews are done with stakeholders (nurses, managers, pharmacist, and microbiologist) on two pulmonary wards of a 1000-bed teaching hospital.

RESULTS

To perform the complex antimicrobial-related tasks well, nurses need to consult various information sources on a myriad of occasions. In addition, the current information infrastructure is unsupportive of ASP-related tasks, mainly because information is not structured to match nurse tasks, is hard to find, out of date, and insufficiently supportive of awareness. Based our findings, we created a concept for a nurse information application. We attuned the application's functionality, content, and structure to nurse work practice and tasks.

CONCLUSIONS

By applying a participatory development approach, we showed that task support is a basic need for nurses. Participatory development proved useful regarding several aspects. First, it allows for combining bottom-up needs (nurses') and top-down legislations (medical protocols). Second, it enabled us to fragmentise and analyse tasks and to reduce and translate extensive information into task-oriented content. Third, this facilitated a tailored application to support awareness and enhance patient safety. Finally, the involvement of stakeholders created commitment and ownership, and helped to weigh needs from multiple perspectives.

Optimal sensor placement for measuring physical activity with a 3D accelerometer

Accelerometer-based activity monitors are popular for monitoring physical activity. In this study, we investigated optimal sensor placement for increasing the quality of studies that utilize accelerometer data to assess physical activity. We performed a two-staged study, focused on sensor location and type of mounting. Ten subjects walked at various walking speeds on a treadmill, performed a deskwork protocol, and walked on level ground, while simultaneously wearing five ProMove2 sensors with a snug fit on an elastic waist belt. We found that sensor location, type of activity, and their interaction-effect affected sensor output. The most lateral positions on the waist belt were the least sensitive for interference. The effect of mounting was explored, by making two subjects repeat the experimental protocol with sensors more loosely fitted to the elastic belt. The loose fit resulted in lower sensor output, except for the deskwork protocol, where output was higher. In order to increase the reliability and to reduce the variability of sensor output, researchers should place activity sensors on the most lateral position of a participant's waist belt. If the sensor hampers free movement, it may be positioned slightly more forward on the belt. Finally, sensors should be fitted tightly to the body.

Public knowledge and preventive behavior during a large-scale Salmonella outbreak: results from an online survey in the Netherlands

BACKGROUND

Food-borne Salmonella infections are a worldwide concern. During a large-scale outbreak, it is important that the public follows preventive advice. To increase compliance, insight in how the public gathers its knowledge and which factors determine whether or not an individual complies with preventive advice is crucial.

METHODS

In 2012, contaminated salmon caused a large Salmonella Thompson outbreak in the Netherlands. During the outbreak, we conducted an online survey (n = 1,057) to assess the general public's perceptions, knowledge, preventive behavior and sources of information.

RESULTS

Respondents perceived Salmonella infections and the 2012 outbreak as severe (m = 4.21; five-point scale with 5 as severe). Their knowledge regarding common food sources, the incubation period and regular treatment of Salmonella (gastro-enteritis) was relatively low (e.g., only 28.7% knew that Salmonella is not normally treated with antibiotics). Preventive behavior differed widely, and the majority (64.7%) did not check for contaminated salmon at home. Most information about the outbreak was gathered through traditional media and news and newspaper websites. This was mostly determined by time spent on the medium. Social media played a marginal role. Wikipedia seemed a potentially important source of information.

CONCLUSIONS

To persuade the public to take preventive actions, public health organizations should deliver their message primarily through mass media. Wikipedia seems a promising instrument for educating the public about food-borne Salmonella.