Perioperative impact of body mass index on upper urinary tract and renal robot-assisted surgery: a single high-volume centre experience.

To assess the impact of body mass index (BMI) on peri-operative outcomes of kidney and upper tract robot-assisted surgery. Medical audit of patients who underwent robot-assisted kidney and upper tract cancer surgery at a single institution between 2017 and 2019, categorized on BMI into obese patients with a BMI ≥ 30 kg/m2 and a control group with BMI < 25 kg/m2. Patient and tumour characteristics, surgery time, intraoperative blood loss, intraoperative adverse events (AE) according to the European Association of Urology Intraoperative Adverse Incidents Classification (EAUiaiC), conversion- to-open/radical rate as well as 30-day postoperative AE according to Clavien-Dindo (CD) and length of inpatient stay were analyzed. 366 patients were identified, 141 with a BMI < 25 (normal-weight) and 225 BMI ≥ 30 (obesity). There were no significant differences between the groups in terms of age, gender, comorbidities, tumour size, TNM stage and type of surgery. Obese patients had a higher estimated blood loss (198.05 ml), surgery time (171.75 min), intraoperative AE (all grades) (14.67%, 95% CI (0.10-0.19) as well as adherent perinephric fat (APF) (14.22%, 95% CI (0.09-0.19)) in contrast to the control group (86.85 ml, 148.29 min, 7.04% and 2.12%, respectively). Hospital stay, major intraoperative AE (≥ 3) and major postoperative AE (CD > 2) distributed equally between groups. Robotic kidney and upper tract surgery in obese patients showed an increase in surgery time and blood loss potentially related to APF. However, obesity was not associated with conversion to open surgery or radical nephrectomy in nephron-sparing procedures, length of stay, major intraoperative AE or postoperative complications.

Professional patient navigation in a hospital setting: a randomized controlled trial.

PURPOSE: This study aimed to determine the effect of patient navigation on health-related quality of life, distress, self-care knowledge, self-efficacy, satisfaction, and healthcare usage. METHODS: Patients newly diagnosed with ovarian, vulvar, endometrial, melanoma stage III/IV, lung, or renal cancer were randomly assigned to either care as usual or care as usual plus consultations with a patient navigator (i.e., specially trained oncology nurse who monitors, advises, and refers patients to supportive cancer care). Measures included the EORTC-QLQ-C30, distress thermometer, and study-specific questions inspired by the Symptom-Management Self-Efficacy Scale Breast Cancer, Patient Satisfaction with Cancer Care Scale, and the Medical Consumption Questionnaire. Measures were completed before randomization (baseline) and at 1 month, 3 months, and 5 months after baseline. RESULTS: In the case of health-related quality of life, no significant difference was observed between the intervention (n = 42) and the control group (n = 47). Consumption of supportive cancer care was low for both the intervention and the control group but relatively lower for the intervention group. Also, participants who consulted the patient navigator seemed to have higher levels of self-efficacy and satisfaction. CONCLUSION: Although the intervention sorted no relevant effects on health-related quality of life, it did affect patients' experience of cancer care and self-efficacy. We recommend that patient navigators monitor and advise on unmet supportive care needs, but only in the case of high-risk patients. Furthermore, considering current and prior research, it is wise to study patient navigation using more sensitive outcome measures than health-related quality of life.

Evaluating a professional patient navigation intervention in a supportive care setting.

PURPOSE: Unmet supportive care needs are common among cancer patients. This study evaluates a patient navigation intervention (i.e., specially trained oncology nurse who monitors, advises, and (if needed) refers patients to supportive cancer care) in terms of need, satisfaction, advice uptake, and consumption of supportive cancer care. METHODS: Using a cross-sectional design, the intervention was evaluated among healthcare professionals, patients who participated, and patients who did not participate in the intervention. All patients were newly diagnosed with breast cancer or melanoma. Data was collected through medical records and online surveys. RESULTS: In total, 1091 patients were offered patient navigation. Most of these patients (755) were willing to consult the patient navigator (PN). Approximately 90% of patients who completed both the intervention and the questionnaire (N = 120, response rate 54%) perceived the PN as valuable, accessible, and reliable. Approximately 80% of respondents who needed advice regarding nutrition (n = 67), fatigue (n = 98), emotions (n = 106), and work (n = 79) were adequately informed by the PN. Of the 120 respondents, 59 used some form of supportive cancer care. Most of the responding healthcare professionals (N = 70, response rate 45%) perceived the intervention as a valuable addition to current cancer care (n = 51) and mentioned that the PN should be available to all patients (n = 54). CONCLUSIONS: The intervention was perceived as valuable by both patients and healthcare professionals. The results may, however, been biased by the large number of patients who were omitted from participation due to logistical reasons.

The interplay between regulatory focus and temporal distance in the health context.

OBJECTIVES: This study identifies how the interaction between temporal distance, regulatory focus, and framing of health outcomes affects individuals' intention to adopt a personalized nutrition service. DESIGN: A 2 (temporal distance: immediate health outcomes vs. delayed health outcomes) × 2 (regulatory focus: prevention vs. promotion) × 2 (health outcome framing: illness prevention vs. health promotion) full-factorial between-subjects design. METHODS: In two experiments with samples of 236 and 242 students, regulatory focus was manipulated by asking participants to describe which academic outcomes they want to either achieve or prevent and how they aim to do this. Temporal distance and health outcome framing were manipulated by modifying descriptions of personalized nutrition services. To study the process through which temporal distance, regulatory focus, and health outcome framing affect adoption intention, measures of perceived privacy risk and perceived personalization benefit were included as mediators. RESULTS: The interaction between temporal distance and regulatory focus had a significant effect on adoption intention, perceived privacy risk, and perceived personalization benefit. For prevention-focused individuals' adoption intention was higher, perceived personalization benefit was higher, and perceived privacy risk was lower when health outcomes were immediate instead of delayed. These effects were not significant for promotion-focused individuals. Health outcome framing affected the interaction between temporal distance and regulatory focus, but only in Study 1. Only perceived personalization benefit served as a mediator. CONCLUSION: Tailoring temporal distance to individuals' regulatory focus increases adoption intention for personalized nutrition advice. Statement of contribution What is already known on this subject? Intention to adopt dietary recommendations results from a cognitive decision-making process. Regulatory focus and temporal distance are relevant for the adoption of dietary recommendations. Temporal distance and regulatory focus are interrelated. What does this study add? The interaction between temporal distance and regulatory focus affects adoption intention. Interaction between temporal distance and regulatory focus moderates the cognitive process that drives adoption.

Providing Personalised Nutrition: Consumers' Trust and Preferences Regarding Sources of Information, Service Providers and Regulators, and Communication Channels.

BACKGROUND/AIMS: Personalised nutrition has potential to revolutionise dietary health promotion if accepted by the general public. We studied trust and preferences regarding personalised nutrition services, how they influence intention to adopt these services, and cultural and social differences therein. METHODS: A total of 9,381 participants were quota-sampled to be representative of each of 9 EU countries (Germany, Greece, Ireland, Poland, Portugal, Spain, the Netherlands, the UK, and Norway) and surveyed by a questionnaire assessing their intention to adopt personalised nutrition, trust in service regulators and information sources, and preferences for service providers and information channels. RESULTS: Trust and preferences significantly predicted intention to adopt personalised nutrition. Higher trust in the local department of health care was associated with lower intention to adopt personalised nutrition. General practitioners were the most trusted of service regulators, except in Portugal, where consumer organisations and universities were most trusted. In all countries, family doctors were the most trusted information providers. Trust in the National Health Service as service regulator and information source showed high variability across countries. Despite its highest variability across countries, personal meeting was the preferred communication channel, except in Spain, where an automated internet service was preferred. General practitioners were the preferred service providers, except in Poland, where dietitians and nutritionists were preferred. The preference for dietitians and nutritionists as service providers highly varied across countries. CONCLUSION: These results may assist in informing local initiatives to encourage acceptance and adoption of country-specific tailored personalised nutrition services, therefore benefiting individual and public health.

The moderating effect of motivation on health-related decision-making.

OBJECTIVE: This study identifies how autonomous and controlled motivation moderates the cognitive process that drives the adoption of personalised nutrition services. The cognitive process comprises perceptions of privacy risk, personalisation benefit, and their determinants. DESIGN: Depending on their level of autonomous and controlled motivation, participants (N = 3453) were assigned to one of four motivational orientations, which resulted in a 2 (low/high autonomous motivation) × 2 (low/high controlled motivation) quasi-experimental design. RESULTS: High levels of autonomous motivation strengthened the extent to which: (1) the benefits of engaging with a service determined the outcome of a risk-benefit trade-off; (2) the effectiveness of a service determined benefit perceptions. High levels of controlled motivation influenced the extent to which: (1) the risk of privacy loss determined the outcome of a risk-benefit trade-off; (2) controlling personal information after disclosure and perceiving the disclosed personal information as sensitive determined the risk of potential privacy loss. CONCLUSION: To encourage the adoption of personalised dietary recommendations, for individuals with high levels of autonomous motivation emphasis should be on benefits and its determinants. For those with high levels of controlled motivation, it is important to focus on risk-related issues such as information sensitivity.

Willingness to pay for personalised nutrition across Europe.

BACKGROUND: Personalised nutrition (PN) may promote public health. PN involves dietary advice based on individual characteristics of end users and can for example be based on lifestyle, blood and/or DNA profiling. Currently, PN is not refunded by most health insurance or health care plans. Improved public health is contingent on individual consumers being willing to pay for the service. METHODS: A survey with a representative sample from the general population was conducted in eight European countries (N = 8233). Participants reported their willingness to pay (WTP) for PN based on lifestyle information, lifestyle and blood information, and lifestyle and DNA information. WTP was elicited by contingent valuation with the price of a standard, non-PN advice used as reference. RESULTS: About 30% of participants reported being willing to pay more for PN than for non-PN advice. They were on average prepared to pay about 150% of the reference price of a standard, non-personalised advice, with some differences related to socio-demographic factors. CONCLUSION: There is a potential market for PN compared to non-PN advice, particularly among men on higher incomes. These findings raise questions to what extent personalized nutrition can be left to the market or should be incorporated into public health programs.

Consumer adoption of personalised nutrition services from the perspective of a risk-benefit trade-off.

Through a Privacy Calculus (i.e. risk-benefit trade-off) lens, this study identifies factors that contribute to consumers' adoption of personalised nutrition services. We argue that consumers' intention to adopt personalised nutrition services is determined by perceptions of Privacy Risk, Personalisation Benefit, Information Control, Information Intrusiveness, Service Effectiveness, and the Benevolence, Integrity, and Ability of a service provider. Data were collected in eight European countries using an online survey. Results confirmed a robust and Europe-wide applicable cognitive model, showing that consumers' intention to adopt personalised nutrition services depends more on Perceived Personalisation Benefit than on Perceived Privacy Risk. Perceived Privacy Risk was mainly determined by perceptions of Information Control, whereas Perceived Personalisation Benefit primarily depended on Perceived Service Effectiveness. Services that required increasingly intimate personal information, and in particular DNA, raised consumers' Privacy Risk perceptions, but failed to increase perceptions of Personalisation Benefit. Accordingly, to successfully exploit personalised nutrition, service providers should convey a clear message regarding the benefits and effectiveness of personalised nutrition services. Furthermore, service providers may reduce Privacy Risk by increasing consumer perceptions of Information Control. To enhance perceptions of both Information Control and Service Effectiveness, service providers should make sure that consumers perceive them as competent and reliable.

The perceived impact of the National Health Service on personalised nutrition service delivery among the UK public.

Personalised nutrition (PN) has the potential to reduce disease risk and optimise health and performance. Although previous research has shown good acceptance of the concept of PN in the UK, preferences regarding the delivery of a PN service (e.g. online v. face-to-face) are not fully understood. It is anticipated that the presence of a free at point of delivery healthcare system, the National Health Service (NHS), in the UK may have an impact on end-user preferences for deliverances. To determine this, supplementary analysis of qualitative data obtained from focus group discussions on PN service delivery, collected as part of the Food4Me project in the UK and Ireland, was undertaken. Irish data provided comparative analysis of a healthcare system that is not provided free of charge at the point of delivery to the entire population. Analyses were conducted using the 'framework approach' described by Rabiee (Focus-group interview and data analysis. Proc Nutr Soc 63, 655-660). There was a preference for services to be led by the government and delivered face-to-face, which was perceived to increase trust and transparency, and add value. Both countries associated paying for nutritional advice with increased commitment and motivation to follow guidelines. Contrary to Ireland, however, and despite the perceived benefit of paying, UK discussants still expected PN services to be delivered free of charge by the NHS. Consideration of this unique challenge of free healthcare that is embedded in the NHS culture will be crucial when introducing PN to the UK.

Understanding consumer evaluations of personalised nutrition services in terms of the privacy calculus: a qualitative study.

BACKGROUND: Personalised nutrition (PN) may provide major health benefits to consumers. A potential barrier to the uptake of PN is consumers' reluctance to disclose sensitive information upon which PN is based. This study adopts the privacy calculus to explore how PN service attributes contribute to consumers' privacy risk and personalisation benefit perceptions. METHODS: Sixteen focus groups (n = 124) were held in 8 EU countries and discussed 9 PN services that differed in terms of personal information, communication channel, service provider, advice justification, scope, frequency, and customer lock-in. Transcripts were content analysed. RESULTS: The personal information that underpinned PN contributed to both privacy risk perception and personalisation benefit perception. Disclosing information face-to-face mitigated the perception of privacy risk and amplified the perception of personalisation benefit. PN provided by a qualified expert and justified by scientific evidence increased participants' value perception. Enhancing convenience, offering regular face-to face support, and employing customer lock-in strategies were perceived as beneficial. CONCLUSION: This study suggests that to encourage consumer adoption, PN has to account for face-to-face communication, expert advice providers, support, a lifestyle-change focus, and customised offers. The results provide an initial insight into service attributes that influence consumer adoption of PN.

Factors influencing European consumer uptake of personalised nutrition. Results of a qualitative analysis.

The aim of this research was to explore consumer perceptions of personalised nutrition and to compare these across three different levels of "medicalization": lifestyle assessment (no blood sampling); phenotypic assessment (blood sampling); genomic assessment (blood and buccal sampling). The protocol was developed from two pilot focus groups conducted in the UK. Two focus groups (one comprising only "older" individuals between 30 and 60 years old, the other of adults 18-65 yrs of age) were run in the UK, Spain, the Netherlands, Poland, Portugal, Ireland, Greece and Germany (N=16). The analysis (guided using grounded theory) suggested that personalised nutrition was perceived in terms of benefit to health and fitness and that convenience was an important driver of uptake. Negative attitudes were associated with internet delivery but not with personalised nutrition per se. Barriers to uptake were linked to broader technological issues associated with data protection, trust in regulator and service providers. Services that required a fee were expected to be of better quality and more secure. An efficacious, transparent and trustworthy regulatory framework for personalised nutrition is required to alleviate consumer concern. In addition, developing trust in service providers is important if such services to be successful.

Nutrigenomics-based personalised nutritional advice: in search of a business model?

Nutritional advice has mainly focused on population-level recommendations. Recent developments in nutrition, communication, and marketing sciences have enabled potential deviations from this dominant business model in the direction of personalisation of nutrition advice. Such personalisation efforts can take on many forms, but these have in common that they can only be effective if they are supported by a viable business model. The present paper takes an inventory of approaches to personalised nutrition currently available in the market place as its starting point to arrive at an identification of their underlying business models. This analysis is presented as a unifying framework against which the potential of nutrigenomics-based personalised advice can be assessed. It has uncovered nine archetypical approaches to personalised nutrition advice in terms of their dominant underlying business models. Differentiating features among such business models are the type of information that is used as a basis for personalisation, the definition of the target group, the communication channels that are being adopted, and the partnerships that are built as a part of the business model. Future research should explore the consumer responses to the diversity of "archetypical" business models for personalised nutrition advice as a source of market information on which the delivery of nutrigenomics-based personalised nutrition advice may further build.