"R" you getting this? Factors contributing to the public's understanding, evaluation, and use of basic reproduction numbers for infectious diseases.

BACKGROUND: We (1) examined the effects of evaluative labels and visual aids on people's understanding, evaluation, and use of the COVID-19 reproduction number (or "r-number"), (2) examined whether people's perceived susceptibility and (intended) adherence to preventive measures changed after being exposed to the r-number, and (3) explored whether these effects and changes depended on people's numeracy skills. METHODS: In an online experiment, participants from a large Dutch representative sample (N = 1,168) received information about the COVID-19 r-number displayed on the corona dashboard of the Dutch Ministry of Health, Welfare and Sport. The r-number was either presented with or without a categorical line display (i.e., evaluative label) and with or without an icon-based tree diagram (i.e., visual aid) explaining how the number works. Regarding people's use of the statistic, we measured perceived susceptibility to COVID-19 and adherence (intention) to five preventive measures before and after exposure to the r-number. After exposure, we also measured participants' understanding, perceived usefulness, affective and cognitive evaluation, and objective numeracy. RESULTS: About 56% of participants correctly interpreted the r-number, with highly numerate people having better understanding than less numerate people. Information about the r-number was perceived as more useful when presented with a visual aid. There were no differences across experimental conditions in people's understanding, affective, and cognitive evaluations. Finally, independent of experimental conditions, intention to adhere to preventive measures was higher after seeing the r-number, but only among highly numerate people. CONCLUSIONS: Although evaluative labels and visual aids did not facilitate people's understanding and evaluation of the r-number, our results show that the statistic is perceived as useful and may be used to stimulate adherence to preventive measures. Policy makers and public health communicators are advised to clearly explain why they are giving these numbers to - especially - the less numerate people, but also how people could use them for behavior change to combat the spread of virus during a pandemic.

A systematic review on experimental studies about patient adherence to treatment.

A better understanding of patients' adherence to treatment is a prerequisite to maximize the benefit of healthcare provision for patients, reduce treatment costs, and is a key factor in a variety of subsequent health outcomes. We aim to understand the state of the art of scientific evidence about which factors influence patients' adherence to treatment. A systematic literature review was conducted using PRISMA guidelines in five separate electronic databases of scientific publications: PubMed, PsycINFO (ProQuest), Cochrane library (Ovid), Google Scholar, and Web of Science. The search focused on literature reporting the significance of factors in adherence to treatment between 2011 and 2021, including only experimental studies (e.g., randomized controlled trials [RCT], clinical trials, etc.). We included 47 experimental studies. The results of the systematic review (SR) are grouped according to predetermined categories of the World Health Organization (WHO): socioeconomic, treatment, condition, personal, and healthcare-related factors. This review gives an actual overview of evidence-based studies on adherence and analyzed the significance of factors defined by the WHO classification. By showing the strength of certain factors in several independent studies and concomitantly uncovering gaps in research, these insights could serve as a basis for the design of future adherence studies and models.

Instrumental, Affective, and Patient-Centered Communication Between Cardiologists and Patients with Low Socioeconomic Status: An Observational Study.

One of the essential elements in managing health is having adequate communication with health care providers. Unfortunately, patients with a low socioeconomic status (SES) often experience less adequate communication with their doctor. In the current study, we explore and compare the communication of both doctors and patients from lower and higher sociodemographic backgrounds on three factors: instrumental, affective, and patient-centered communication. In total, 45 cardiology consultations were observed, transcribed, and coded (16 low-SES, 16 middle-SES, 13 high-SES). Our analyses showed that, compared to higher-SES patients, low-SES patients voiced less of their concerns, answered questions of the doctor more often with one word, and expressed less utterances overall. Naturally, we found that doctors expressed more utterances overall toward low-SES patients. For doctors, no differences regarding instrumental, affective, or patient-centered communication were found. These findings suggest that low-SES patients are more passive communicators and communication differences based on SES exist predominantly for patients' communication. The revealed communication differences may lead to a less adequate interaction and potentially worse patient outcomes, further increasing the socioeconomic health gap. Hence, doctors should become even more aware of socioeconomic patient communication differences so that they can appropriately encourage low-SES patients to become more active communicators.

Preferences in the Willingness to Download an mHealth App: Discrete Choice Experimental Study in Spain, Germany, and the Netherlands.

BACKGROUND: Despite the worldwide growth in mobile health (mHealth) tools and the possible benefits for both patients and health care providers, the adoption of mHealth is low, and only a limited number of studies have examined the intention to download mHealth apps. OBJECTIVE: In this study, we investigated individuals' preferences in the adoption of a health app. METHODS: We conducted a discrete choice experimental study in 3 countries (Spain: n=800, Germany: n=800, and the Netherlands: n=416) with 4 different attributes and levels (ie, price: €1.99 vs €4.99 [a currency exchange rate of €1=US $1.09 is applicable] vs for free, data protection: data protection vs no information, recommendation: patients' association vs doctors, and manufacturer: medical association vs pharmaceutical company). Participants were randomly assigned. For the analyses, we used the conditional logistic model separately for each country. RESULTS: The results showed that price and data protection were considered important factors that significantly increased the probability to download an mHealth app. In general, the source of the recommendation and the manufacturer affected the probability to download the mHealth app less. However, in Germany and the Netherlands, we found that if the app was manufactured by a pharmaceutical company, the probability to download the mHealth app decreased. CONCLUSIONS: mHealth tools are highly promising to reduce health care costs and increase the effectiveness of traditional health interventions and therapies. Improving data protection, reducing costs, and creating sound business models are the major driving forces to increase the adoption of mHealth apps in the future. It is thereby essential to create trustworthy standards for mobile apps, whereby prices, legislation concerning data protection, and health professionals can have a leading role to inform the potential consumers.

Un-tracking menopause: How not using self-tracking technologies mediates women's self-experiences in menopause.

Self-tracking in general, and by women in particular is increasingly researched. In the literature, however, women's interactions with selftracking technologies in menopause-a change that (almost) every woman will go through-is largely taken for granted. This paper addresses this lacuna by asking whether and how menopausal women use self-tracking technologies, and how this (non-) usage mediates their self-experiences. In doing so, it elaborates on another understudied phenomenon: the constitutive significance of "un-tracking"-that is, of various shades and levels of not using self-tracking technologies-in menopause. Most of the 13 interviewed women in this study reported that they stopped, drastically reduced, or resisted self-tracking in menopause. By framing the discussion of these accounts of "un-tracking" within the tradition of post-phenomenology and a phenomenology of situated bodily self-awareness, we show that these women experience their bodies as (1) wise and eu-appearing, (2) unmoldable and dysappearing, and (3) longing for disappearance. Herein, their experientially mediating un-tracking practices are temporally and socio-culturally contextualized in complex ways and bear substantial existential significance. This study establishes the potential harmful ways in which self-tracking mediates self-experiences, as well as the fruitful ways in which un-tracking may do so. Against the background of this observation, this paper makes an appeal to take a step back from uncritically celebrating self-tracking in healthcare contexts, and critically evaluates whether (the promotion of) using (more) self-tracking technologies in these contexts is desirable to begin with.

Exploring the impact of patient, physician and technology factors on patient video consultation satisfaction.

Objective: Video consultations (VCs) were made available to the general population during the COVID-19 pandemic to compensate for the cutback of face-to-face doctor-patient interactions. However, little is known about what patient-related (e.g. age), physician-related (e.g. patient-physician relationship) and technology-related (e.g. online privacy concerns) factors contribute to video consultation satisfaction among patients. This study aims to gain a better understanding of what makes patients satisfied with video consultations. Methods: A total of 180 patients who recently engaged in a video consultation were invited to answer questions about patient-, physician- and technology-related variables and their satisfaction with the video consultation. To examine which factors predict patient video consultation satisfaction, a multiple hierarchical regression analysis was performed. Results: Overall, patients were satisfied with their video consultation. The final hierarchical model, including all patient-related, physician-related and technology-related factors, significantly contributed to patient video consultation satisfaction. Predictors of higher patient video consultation satisfaction were experiencing less technical issues, having higher general positive attitudes towards online communication, reporting higher importance of less travel time and being more satisfied with physicians' affective and instrumental communication. Conclusions: Video consultations can be appropriate in a variety of situations, provided that technical issues can be minimized, patients have a positive attitude towards online communication and attach value to reduced travel time and online patient-physician interactions can be experienced as affective and instrumental. Findings from this study contribute to understanding how video consultations can be best utilized for effective patient-physician communication.

Predicting and comparing COVID-19 risk perceptions across the Netherlands and Belgium: A cross-sectional survey among university students.

People's risk perception of COVID-19 is an important predictor for adopting protective behavior. Although risk perceptions, and factors influencing these, may vary between countries, less attention has been paid to differences between adjacent regions from neighboring countries. In the midst of the first wave of the corona outbreak (March-April-May 2020), we measured risk perceptions as perceived threat (consisting of perceived severity and susceptibility) among university students (N = 668) in two connected countries: the Netherlands and Belgium. Theory-based predictor variables included experiential, efficacy-related, socio-cultural, cognitive, and demographic factors. While demographic variables and country were not significant predictors of perceived threat level, all other constructs were. Personal and indirect experiences with COVID-19, as well as higher scores on personal (self) efficacy to carry out recommended preventive behaviors were all associated with higher perceived threat. However, low collective efficacy and lower levels of trust in government were both also significantly associated with higher perceived threat, as was a low level of "lack of COVID-19 knowledge". These results hold implications for suitable risk communication strategies for increasing students' COVID-19 risk perceptions.

AYAs' online information and eHealth needs: A comparison with healthcare professionals' perceptions.

BACKGROUND: Adolescents and young adults (AYAs) diagnosed with cancer fulfill their cancer-related information needs often via the Internet. Healthcare professionals (HCPs) have a crucial role in guiding patients in finding appropriate online information and eHealth sources, a role that is often overlooked. Misperceptions of AYAs' needs by HCPs may lead to suboptimal guidance. We aimed to examine the extent to which AYAs' online information and eHealth needs corresponded with HCPs' perceptions of these needs. METHODS: Two cross-sectional online surveys (AYAs, n = 299; HCP, n = 80) on online information and eHealth needs were conducted. HCPs provided indications of their perceptions of AYA's needs. RESULTS: AYAs reported significantly more online information needs compared with HCPs' perceptions regarding: survival rates (AYA = 69%, HCP = 35%, p < 0.001), treatment guidelines (AYA = 65%, HCP = 41%, p < 0.001), return of cancer (AYA = 76%, HCP = 59%, p = 0.004), "what can I do myself" (AYA = 68%, HCP = 54%, p = 0.029), and metastases (AYA = 64%, HCP = 50%, p = 0.040). Significantly more unmet eHealth needs were reported by AYAs compared with HCPs relating to access to own test results (AYA = 25, HCP = 0%, p < 0.001), request tests (AYA = 30%, HCP = 7%, p < 0.001), medical information (AYA = 22%, HCP = 0%, p = 0.001), e-consult with nurses (AYA = 30%, HCP = 10%, p < 0.001), e-consult with physicians (AYA = 38%, HCP = 13%, p = 0.001), and request prescriptions (AYA = 33%, HCP = 21%, p = 0.009). CONCLUSION: AYAs' online information and eHealth needs are partially discrepant with the impression HCPs have, which could result in insufficient guidance related to AYAs' needs. AYAs and HCPs should get guidance regarding where to find optimal information in a language they understand. This may contribute to AYAs' access, understanding, and satisfaction regarding online information and eHealth.

Social distancing during COVID-19: threat and efficacy among university students in seven nations.

COVID-19 has been spreading fast worldwide, and until effective and safe vaccines have been widely adopted, preventive measures such as social distancing are crucial to keep the pandemic under control. The study's research questions asked which psychosocial factors predict social distancing behavior and whether there are country-level differences in social distancing? Using the Extended Parallel Process Model (EPPM) as a theoretical lens, we examined the predictive effects of threat and efficacy and demographic variables on adherence to the COVID-19 preventive behavior of social distancing using a survey among an international sample of university students. Using path modeling and analysis of covariance, we confirmed the predictive effects of the EPPM on social distancing behavior. Our final model showed that perceived susceptibility to COVID-19 was both directly and indirectly (through response efficacy) associated with social distancing behavior; that perceived severity of COVID-19 yielded a significant indirect effect on social distancing behavior through both self-efficacy and response efficacy; that perceived susceptibility is indirectly and positively associated with social distancing behavior through response efficacy; and that self-efficacy and response efficacy were directly associated with social distancing behavior. Additionally, there were country-level differences in social distancing. Possible explanations for and implications of these findings are discussed.

Differences in Internet Use and eHealth Needs of Adolescent and Young Adult Versus Older Cancer Patients; Results from the PROFILES Registry.

BACKGROUND: Our aim was to evaluate differences in cancer-related internet patterns between AYAs (adolescents and young adults; 18-39 years at time of diagnosis) and older adult cancer patients (40+ years). METHODS: Cross-sectional surveys were distributed among AYA and older adult cancer patients regarding cancer-related internet use and eHealth needs. RESULTS: 299 AYAs (mean age 31.8 years) and 270 older adults (mean age 55.8 years) participated. AYAs searched significantly more often on the internet on a daily basis just before diagnosis (45% vs. 37%), right after diagnosis (71% vs. 62%) and during treatment (65% vs. 59%) compared to older adults. During follow up, there was a trend that AYAs searched less often on the internet compared to older adults (15% vs. 17%). AYAs searched more often on topics, such as alternative or complementary therapies, treatment guidelines, fertility, end of life, sexuality and intimacy, lifestyle and insurance. AYAs felt significantly better informed (75%) after searching for cancer-related information compared to older adults (65%) and had significantly less unmet needs regarding access to their own medical information (22% vs. 47%). AYAs search more on the internet on a daily basis/several times per week in the diagnosis and treatment phase than older cancer patients. They search on different topics than older adults and seems to have less unmet eHealth needs.It is important that these are easy to find and reliable.

Communicating tailored risk information of cancer treatment side effects: Only words or also numbers?

BACKGROUND: The increased availability of patient reported outcome data makes it feasible to provide patients tailored risk information of cancer treatment side effects. However, it is unclear how such information influences patients' risk interpretations compared to generic population-based risks, and which message format should be used to communicate such individualized statistics. METHODS: A web-based experiment was conducted in which participants (n = 141) read a hypothetical treatment decision-making scenario about four side effect risks of adjuvant chemotherapy for advanced colon cancer. Participants were cancer patients or survivors who were recruited from an online Dutch cancer patient panel. All participants received two tailored risks (of which the reference class was based on their age, gender and tumor stage) and two generic risks conveying the likelihood of experiencing the side effects. The risks were presented either in words-only ('common' and 'very common'), or in a combination of words and corresponding numerical estimates ('common, 10 out of 100' and 'very common, 40 out of 100'). Participants' estimation of the probability, accuracy of their estimation, and perceived likelihood of occurrence were primary outcomes. Perceived personal relevance and perceived uncertainty were secondary outcomes. RESULTS: Tailored risks were estimated as higher and less accurate than generic risks, but only when they were presented in words; Such differences were not found in the verbal and numerical combined condition. Although tailoring risks did not impact participants' perceived likelihood of occurrence, tailored risks were perceived as more personally relevant than generic risks in both message formats. Finally, tailored risks were perceived as less uncertain than generic risks, but only in the verbal-only condition. CONCLUSIONS: Considering current interest in the use of personalized decision aids for improving shared decision-making in oncology, it is important that clinicians consider how tailored risks of treatment side effects should be communicated to patients. We recommend both clinicians who communicate probability information during consultations, and decision aid developers, that verbal descriptors of tailored risks should be supported by numerical estimates of risks levels, to avoid overestimation of risks.

Features of a Patient Portal for Blood Test Results and Patient Health Engagement: Web-Based Pre-Post Experiment.

BACKGROUND: The use of patient portals for presenting health-related patient data, such as blood test results, is becoming increasingly important in health practices. Patient portals have the potential to enhance patient health engagement, but content might be misinterpreted. OBJECTIVE: This study aimed to discover whether the way of presenting blood test outcomes in an electronic patient portal is associated with patient health engagement and whether this varies across different blood test outcomes. METHODS: A 2x3 between-subjects experiment was conducted among members of the Nivel Dutch Health Care Consumer Panel. All participants read a scenario in which they were asked to imagine themselves receiving blood test results. These results differed in terms of the presented blood values (ie, normal vs partially abnormal vs all abnormal) as well as in terms of whether the results were accompanied with explanatory text and visualization. Patient health engagement was measured both before (T0) and after (T1) participants were exposed to their fictive blood test results. RESULTS: A total 487 of 900 invited members responded (response rate 54%), of whom 50.3% (245/487) were female. The average age of the participants was 52.82 years (SD 15.41 years). Patient health engagement saw either a significant decrease or a nonsignificant difference in the experimental groups after viewing the blood test results. The mean difference was smaller in the groups that received blood test results with additional text and visualization (meanT0 5.33, SE 0.08; meanT1 5.14, SE 0.09; mean difference 0.19, SE 0.08, P=.02) compared with groups that received blood test results without explanatory text and visualization (meanT0 5.19, SE 0.08; meanT1 4.55, SE 0.09; mean difference 0.64, SE 0.08, P<.001). Adding text and visualization, in particular, reduced the decline in patient health engagement in participants who received normal results or mixed results (ie, combination of normal and abnormal results). CONCLUSIONS: Adding text and visualization features can attenuate the decrease in patient health engagement in participants who receive outcomes of a blood test via a patient portal, particularly when blood test results are (partly) normal. This suggests that explanatory text and visualization can be reassuring. Future research is warranted to determine whether these results can be generalized to a patient population who receive their actual blood test results.

Perceived Active Control over Online Health Information: Underlying Mechanisms of Mode Tailoring Effects on Website Attitude and Information Recall.

Previous tailoring research has traditionally studied effects of system-initiated message content to match individual characteristics. Recently scholars have explored how tailoring health information to individual modality preferences and processing styles can increase message effectiveness. Using a web-based experiment among a representative sample of Internet users (N = 392; 25-86 years), this study investigated the underlying mechanisms that might explain the effects of mode tailoring on website attitudes and recall of online health information. Results from structural equation modeling showed that mode tailoring - enabling users to self-customize a health website's presentation mode (via textual, visual, audiovisual information) - increased users' perceived active control, which in turn contributed to higher perceived relevance and website engagement, and reduced cognitive load. Positive indirect effects of mode tailoring (vs. no tailoring) through these mechanisms were found for both website attitude and information recall. The findings suggest that perceived active control is the key driver of mode tailoring effects. Mode tailoring can be a promising and novel strategy to maximize the effectiveness of tailored health communications. The authors discuss the implications for theory and design of digital health information.

Tailored communication for older patients with cancer: Using cluster analysis to identify patient profiles based on information needs.

INTRODUCTION: Understanding how information needs of older patients with cancer vary is essential for patient-centered communication. Little research has considered the potential complex patterns in information needs among older patients with cancer. This study aims to identify profiles of older patients with cancer based on differences in their information needs. MATERIALS AND METHODS: Two-hundred and twenty-three patients with cancer and survivors aged 70 years or older completed an online survey. Based on an extensive scoping review, we included measures on information needs (i.e., monitoring coping style and type of information needs as measured with QUOTE) and related factors (i.e., psychological distress, ability, motivation, participation in decision making, and demographics). Profiles were identified using k-means cluster analysis. RESULTS: Analysis revealed three profiles of older patients with cancer exhibiting differences in monitoring coping style and type of information needs: the so-called "information seeker" (38.8%), the "listener" (47.2%), and the "information avoider" (14.0%). Besides differences in information needs, the profiles differed on psychological distress (i.e., intrusive thinking, cancer worry, and intolerance of uncertainty), ability (i.e., self-efficacy in interaction with physician), and motivation (i.e., information goals and future time perspective). DISCUSSION: Our findings revealed a nuanced perspective to information needs of older patients with cancer by combining two measurements of information needs with factors contributing to these needs. Clinicians could use these results to increase their awareness of the complexity and heterogeneity of information needs in older patients with cancer and to tailor their information to the needs of older patients.

Customization in mobile health apps: explaining effects on physical activity intentions by the need for autonomy.

Given the widespread adoption and technical possibilities of mobile technology, mobile health apps could be potentially effective tools to intervene in people's daily routines and stimulate physical activity. Self-determination theory and the motivational technology model both suggest that mobile technology can promote health behaviour change by allowing users to customize their online experience when using mobile health apps. However, we know very little about why and for whom customization is most effective. Using a between-subjects experimental design, we tested the effects of customization in mobile health apps among a convenience sample (N = 203). We assessed the effects of customization on perceived active control over mobile health apps, autonomous motivation to use mobile health apps, and intention to engage in physical activity, and tested the moderating role of need for autonomy. Structural equation modelling showed that customization in mobile health apps does not increase perceived active control, autonomous motivation, or the intention to engage in physical activity. However, an interaction effect between customization and need for autonomy showed that customization in mobile health apps leads to higher intentions to engage in physical activity for those with a greater need for autonomy, but not for those with a lesser need for autonomy. The implications for theory and practice are discussed.

Tailored Web-Based Information for Younger and Older Patients with Cancer: Randomized Controlled Trial of a Preparatory Educational Intervention on Patient Outcomes.

BACKGROUND: Many patients with cancer, including older patients (aged ≥65 years), consult the Web to prepare for their doctor's visit. In particular, older patients have varying needs regarding the mode in which information is presented (eg, via textual, visual, or audiovisual modes) owing to age-related sensory (eg, impaired vision and hearing) and cognitive decline (eg, reduced processing speed). Therefore, Web-based information targeted at older patient populations is likely to be used and processed more effectively, and evaluated more positively, when tailored to age-related capabilities and preferences. This, in turn, may benefit patient outcomes. OBJECTIVE: This randomized controlled trial tested the effects of a Web-based tailored educational intervention among newly diagnosed younger (<65 years) and older (≥65 years) patients with cancer. We compared the intervention group who viewed a mode-tailored website (ie, enabling patients to tailor information using textual, visual, and audiovisual modes) with 3 control groups view a nontailored website (ie, text only, text with images, and text with videos). We examined website experience outcomes (ie, website satisfaction, website involvement, knowledge, anxiety, and communication self-efficacy) and consultation experience outcomes (ie, question asking during consultation, anxiety, and information recall). METHODS: Patients from a multidisciplinary outpatient clinic (N=232) viewed a mode-tailored or nontailored website as preparation before their hospital consultations to discuss diagnosis and treatment. Data were collected before (T1), during (T2), and after (T3) visitation. Website experience outcomes were assessed with questionnaires (T1). Patients' question asking was coded from videotaped consultations, and anxiety was assessed through a questionnaire (T2). Telephone interviews were conducted to assess knowledge acquired from the website before (T1) and after consultation (T3), and information recall from the consultation (T3). RESULTS: The preparatory website was well used across all conditions (mean 34 min). Younger patients viewing the mode-tailored website were more satisfied before consultation (P=.02) and reported lower anxiety after consultation (P=.046; vs text only). This pattern was not found in older patients. Mode tailoring yielded no other significant differences in patient outcomes. Regression analyses showed that website involvement (beta=.15; P=.03) and, to a lesser extent, website satisfaction (beta=.15; P=.05) positively associated with knowledge before consultation (T1). In turn, higher knowledge before consultation (beta=.39; P<.001), together with time on the website (beta=.21; P=.002; T1), predicted information recall from consultations (T3). Patients with higher knowledge before consultation (T1) also reported higher knowledge from the website afterward (T3; beta=.22; P=.003). CONCLUSIONS: Offering preparatory online information before consultations benefits information processing and patient outcomes of both younger and older newly diagnosed patients with cancer. Younger patients benefit even more when information is offered in a mode-tailored manner. We discuss the theoretical, methodological, and practical implications for patient-provider communication research in an electronic health era. CLINICAL TRIAL: Netherlands Trial Register NTR5904; https://www.trialregister.nl/trial/5750.

Optimising eHealth tools for older patients: Collaborative redesign of a hospital website.

Most hospital websites have not been developed in collaboration with patients and, therefore, rarely take into account the preferences and abilities of older patients. This study describes the systematic redesign of an existing hospital website in a co-design process with patients and professional stakeholders (e.g. researchers, physicians, nurses, department heads, policymakers, website designers), with the aim to make it more user-friendly for older patients with colorectal cancer (CRC). The redesign process consisted of three phases, where (I) both existing content and design were evaluated among CRC patients; (II) a prototype website was developed based on these insights; which (III) was evaluated again before making final adjustments. Mixed research methods were used for the redesign process. Specifically, insights from existing literature, outcomes from qualitative and quantitative empirical studies conducted by our team, and expert knowledge from relevant stakeholders, were collected and discussed in multidisciplinary consensus meetings, and served as input for the redesigned website. While the existing website was evaluated poorly, the qualitative evaluation of the prototype website in phase 3 showed that the newly redesigned website was usable for older CRC patients. A practical roadmap on how to collaboratively redesign and optimise existing eHealth tools to make them suitable for and operational in clinical settings is provided.

Fear and forget: how anxiety impacts information recall in newly diagnosed cancer patients visiting a fast-track clinic.

INTRODUCTION: One-day fast track programs for cancer diagnostics and treatment planning are increasingly being implemented in health care. Fast-track programs are highly effective at reducing waiting times, and thus well received by patients and healthcare providers. However, these programs may also burden patients, as patients generally receive a lot of information from multiple healthcare providers within a short time span. This might increase anxiety and negatively impact recall of medical information in newly diagnosed patients. This study examines whether anxiety influences information recall at the moment of diagnosis, and whether this relation differs for younger and older patients. METHODS: Data were collected from 78 colorectal cancer patients visiting a one-day fast-track multidisciplinary outpatient clinic. All consultations that took place were recorded on a video. Anxiety was measured at baseline (T1) and immediately after consultations (T2) with the STAI-6. Information recall was assessed by telephone within 36-48 hours after patients' visit (T3) using open questions. RESULTS: After consultations (T2), 32% of patients experienced clinical anxiety levels. Patients recalled ∼60% of medical information (T3). Information recall was negatively impacted by anxiety (ß = -.28, p = .011), and negatively related to higher age (ß = -.23, p = .031), and lower education level (ß = .27, p = .013). Although older patients (M = 53.99) recalled 11% less information than younger patients (M = 64.84), age was not related to anxiety and did not moderate the anxiety-recall relationship. CONCLUSION: High levels of anxiety after receiving a cancer diagnosis negatively influence how much information patients remember after visiting a one-day fast-track clinic. This calls for interventions that may reduce patients' anxiety as much as reasonably possible and support patients' information recall. Researchers, practitioners, and hospitals are encouraged to continue exploring ways to optimize information provision to cancer patients in current modern healthcare.

Studying medical communication with video vignettes: a randomized study on how variations in video-vignette introduction format and camera focus influence analogue patients' engagement.

BACKGROUND: Video vignettes are used to test the effects of physicians' communication on patient outcomes. Methodological choices in video-vignette development may have far-stretching consequences for participants' engagement with the video, and thus the ecological validity of this design. To supplement the scant evidence in this field, this study tested how variations in video-vignette introduction format and camera focus influence participants' engagement with a video vignette showing a bad news consultation. METHODS: Introduction format (A = audiovisual vs. B = written) and camera focus (1 = the physician only, 2 = the physician and the patient at neutral moments alternately, 3 = the physician and the patient at emotional moments alternately) were varied in a randomized 2 × 3 between-subjects design. One hundred eighty-one students were randomly assigned to watch one of the six resulting video-vignette conditions as so-called analogue patients, i.e., they were instructed to imagine themselves being in the video patient's situation. Four dimensions of self-reported engagement were assessed retrospectively. Emotional engagement was additionally measured by recording participants' electrodermal and cardiovascular activity continuously while watching. Analyses of variance were used to test the effects of introduction format, camera focus and their interaction. RESULTS: The audiovisual introduction induced a stronger blood pressure response during watching the introduction (p = 0.048, [Formula: see text]= 0.05) and the consultation part of the vignette (p = 0.051, [Formula: see text]= 0.05), when compared to the written introduction. With respect to camera focus, results revealed that the variant focusing on the patient at emotional moments evoked a higher level of electrodermal activity (p = 0.003, [Formula: see text]= 0.06), when compared to the other two variants. Furthermore, an interaction effect was shown on self-reported emotional engagement (p = 0.045, [Formula: see text]= 0.04): the physician-only variant resulted in lower emotional engagement if the vignette was preceded by the audiovisual introduction. No effects were shown on the other dimensions of self-reported engagement. CONCLUSIONS: Our findings imply that using an audiovisual introduction combined with alternating camera focus depicting patient's emotions results in the highest levels of emotional engagement in analogue patients. This evidence can inform methodological decisions during the development of video vignettes, and thereby enhance the ecological validity of future video-vignettes studies.