Knowledge, Skills, and Experience With Technology in Relation to Nutritional Intake and Physical Activity Among Older Adults at Risk of Falls: Semistructured Interview Study.

BACKGROUND: More than one-third of older adults (aged ≥65 y) experience falls every year. The prevalent modifiable risk factors for falling are malnutrition and physical inactivity, among others. The involvement of older adults in the prevention of falls can decrease injuries, hospitalizations, and dependency on health care professionals. In this regard, eHealth can support older adults' self-management through more physical activity and adequate food intake. eHealth must be tailored to older adults' needs and preferences so that they can reap its full benefits. Therefore, it is necessary to gain insight into the knowledge, skills, and mindset of older adults living at home who are at risk of falls regarding eHealth. OBJECTIVE: This qualitative study aims to explore older adults' use of everyday digital services and technology and how they acquire knowledge about and manage their nutritional intake and physical activity in relation to their health. METHODS: Semistructured interviews were conducted with 15 older adults (n=9, 60% women; n=6, 40% men; age range 71-87 y) who had all experienced falls or were at risk of falling. These individuals were recruited from a geriatric outpatient clinic. The interviews were analyzed using deductive content analysis based on a modification of the Readiness and Enablement Index for Health Technology framework. RESULTS: The qualitative data showed that the informants' social networks had a positive impact on their self-management, use of technology, and mindset toward nutritional intake and physical activity. Although the informants generally lived active lives, they all lacked knowledge about how their food intake influenced their physical health, including their risk of falling. Another finding was the large diversity in the use of technology among the informants, which was related to their mindset toward technology. CONCLUSIONS: Older adults can use technology for everyday purposes, but some need additional introduction and support to be able to use it for managing their health. They also need to learn about the importance of proper nutritional intake and physical activity in preventing falls. Older adults need a more personalized introduction to technology, nutrition, and physical activity in their contact with health professionals.

Perspective of Health Care Professionals and Cancer Survivors on the Usage of Technology in Consultations.

This study explored the integration of technology in healthcare consultations between healthcare professionals (HCPs) and cancer survivors. The research aimed to understand how technological tools influence the dynamics and environment of cancer survivor rehabilitation consultations. The study used Actor-Network Theory (ANT) to analyze the effects of new technological actors in consultations and Invisible Work Theory to uncover hidden workflows associated with technology implementation. The study combined observations and in-depth interviews with HCPs and cancer survivors conducted in March to May 2022, and a follow-up group interview in November 2023. The study revealed that technology's presence notably impacts the relationship between HCPs and cancer survivors, with HCPs expressing concerns that technology disrupts the consultation and challenges the relation. Over time, HCPs gradually began to use laptops during consultations to varying degrees, although the resistance to fully embracing technology persisted. This resistance is attributed to perceived pressure from management and a mismatch with established practices. The findings address the challenges in digital literacy and confidence among HCPs to facilitate the effective incorporation of technology and enhance the patient-clinician relationship. This research contributes to a deeper understanding of the interplay between digital health tools and patient-clinician relationships, highlighting the complexities and opportunities in digitizing healthcare consultations.

An educative nutritional intervention supporting older hospital patients to eat sufficiently using eHealth: a mixed methods feasibility and pilot study.

BACKGROUND: Insufficient food intake is common in older hospital patients and increases the risk of readmission, mortality, and decline in functional status. To improve food intake in older patients, an eHealth solution (Food'n'Go) enabling them to participate in their own nutritional care was implemented in a hospital unit. We developed an educative nutritional intervention (ENI) to support hospitalized older adults (aged ≥ 65 years) to participate in their own nutritional care using Food'n'Go. In this study, we evaluate the feasibility of the ENI and its potential to improve nutritional intake. METHODS: Feasibility was evaluated using process evaluation, and nutritional intake was examined by using a pre- and post-test design. Assessment of feasibility: Contextual factors (availability of Food'n'Go and prevalence of counseling by a dietitian); Intervention fidelity (whether patients were informed of nutrition and Food'n'Go, and whether their needs for support were assessed); and Mechanism of impact (patients' knowledge and skills related to nutrition and the use of Food'n'Go and their acceptance of the ENI). Assessment of nutritional intake: Patients' intake of protein and energy based on one-day observations before implementation of the ENI (pre-test; n = 65) and after a three-month intervention (post-test; n = 65). RESULTS: Feasibility: Food'n'Go was available for more patients after the intervention (85 vs. 64%, p = .004). Most patients managed the use of Food'n'Go and were involved in ordering their food, but only a few monitored their food intake. Information on nutrition was not provided sufficiently to all patients. In general, the ENI had high acceptability among the patients. Nutritional intake: Compared to patients in the pre-test, patients in the post-test had a higher daily mean intake of energy (kJ) (6712 (SD: 2964) vs. 5660 (SD: 2432); difference 1052 (95% CI 111-1993)), and of protein (g) (60 (SD: 28) vs. 43 (SD: 19); difference 17 (95% CI 9-26)). Likewise, there was an increase in the mean attainment of protein requirements: 73% (SD: 34) vs. 59% (SD: 29) (p = .013). CONCLUSION: The ENI is feasible for supporting hospitalized older adults to participate in their own nutrition using eHealth and preliminary results indicate that it may lead to an increasing energy and protein intake.

Smart health technologies used to support physical activity and nutritional intake in fall prevention among older adults: A scoping review.

BACKGROUND: Falls are the second leading cause of accidental injury deaths globally. Older age is a key risk factors for falls. Besides older age, physical inactivity and malnutrition are identified risk factors for falls. Smart health technologies might offer a sustainable solution to prevent falls by supporting physical activity and nutritional status. OBJECTIVE: The aim is to identify, describe, and synthesize knowledge, and identify knowledge gaps on the use of existing smart health technologies to support health behaviour in relation to physical activity and nutrition, among older (65+) in risk of falling. METHODS: A scoping review was conducted following the PRISMA-ScR. Searches were carried out in PubMed, Scopus, and Embase using search strings on the themes; smart health technology, physical activity, nutrition, behaviour, falls and older. Identified literature was screened. Data from the included studies was extracted and synthesized. RESULTS: 2948 studies were obtained through searches. 18 studies were included. Various smart health technologies are used for fall prevention to support physical activity among older, including software and applications for smart phones, TV, and tablet. Three gaps were identified: use of smart health technologies to support nutrition in fall prevention. Inclusion of relevant stakeholders and fall prevention in low-and middle-income countries. CONCLUSIONS: Smart health technology can offer sustainable and cost-effective fall prevention in the future. More knowledge is needed on the use of smart health technologies to support nutritional status for fall prevention, and studies involving older with physical and cognitive conditions, and studies on measures for fall prevention in low- and middle-income countries is needed.

Theory-driven development of an educative nutritional intervention (ENI) supporting older hospital patients to eat sufficiently, assisted by an eHealth solution: an intervention mapping approach.

BACKGROUND: Insufficient protein and energy intake is a prevalent and serious problem in older hospital patients. Here, we describe the development of a program consisting of 1) an educative nutritional intervention (ENI) to support older hospital patients to participate in their own nutritional care using the eHealth solution Food'n'Go, and 2) a plan for education and support of healthcare professionals, enabling them to conduct the ENI. Further, we describe the evaluation of the acceptability of the program as perceived by nursing staff and dieticians. METHODS: The Intervention Mapping (IM) framework was used to design and develop the ENI through six steps: 1) a logic model of the problem was developed; 2) performance objectives and related change objectives were defined for patients, relatives, and healthcare professionals; 3) the intervention was designed using relevant theory-based change methods; 4) program materials were produced; and finally, 5) implementation and maintenance were planned and 6) evaluation of the program was planned. End users (patients, relatives, and healthcare professionals) were involved in the design and development of the ENI. RESULTS: Based on the logic model, the personal determinants (knowledge, skills, self-efficacy, outcome expectation, social support, attitude, and awareness) related to the patients and their relatives were addressed in the ENI, and those related to the healthcare professionals were addressed in the plan for their education and support. Theories of behavioral change, technology acceptance, and nutritional management for older persons were applied. A plan for evaluation of the effectiveness (intake of energy and protein) and feasibility of the ENI was conducted. The feasibility measurements were the behaviors and determinants related to the intervention outcome that were identified in the logic model of change. The ENI was perceived as acceptable by the nursing staff and dieticians. CONCLUSION: We developed a theory- and evidence-based intervention guided by the IM framework and a sociotechnical approach, which was perceived as acceptable and ready for use to support older hospital patients to eat sufficiently assisted by eHealth.

Health Technology Readiness Profiles Among Danish Individuals With Type 2 Diabetes: Cross-Sectional Study.

BACKGROUND: Information technologies (IT) are increasingly implemented in type 2 diabetes (T2D) treatment as a resource for remotely supported health care. However, possible pitfalls of introducing IT in health care are generally overlooked. Specifically, the effectiveness of IT to improve health care may depend on the user's readiness for health technology. OBJECTIVE: We aim to investigate readiness for health technology in relation to mental well-being, sociodemographic, and disease-related characteristics among individuals with T2D. METHODS: Individuals with T2D (aged ≥18 years) who had been referred to self-management education, exercise, diet counseling, smoking cessation, or alcohol counseling completed a questionnaire survey covering (1) background information, (2) the 5-item World Health Organization Well-Being Index (WHO-5), (3) receptiveness to IT use in physical activity, and (4) the Readiness and Enablement Index for Health Technology (READHY), constituted by dimensions related to self-management, social support, and eHealth literacy. Individuals were divided into profiles using cluster analysis based on their READHY scores. Outcomes included differences across profiles in mental well-being, sociodemographic, and disease-related characteristics. RESULTS: Participants in the study were 155 individuals with T2D with a mean age of 60.2 (SD 10.7) years, 55.5% (86/155) of which were men and 44.5% (69/155) of which were women. Participants were stratified into 5 health technology readiness profiles based on the cluster analysis: Profile 1, high health technology readiness; Profile 2, medium health technology readiness; Profile 3, medium health technology readiness and high level of emotional distress; Profile 4, medium health technology readiness and low-to-medium eHealth literacy; Profile 5, low health technology readiness. No differences in sociodemographic and disease-related characteristics were observed across profiles; however, we identified 3 vulnerable subgroups of individuals: Profile 3 (21/155, 13.5%), younger individuals (mean age of 53.4 years, SD 8.9 years) with low mental well-being (mean 42.7, SD 14.7) and emotional distress (mean 1.69, SD 0.38); Profile 4 (20/155, 12.9%), older individuals (mean age 66.3 years, SD 9.0 years) with less IT use (50.0% used IT for communication) and low-to-medium eHealth literacy; and Profile 5 (36/155, 23.2%) with low mental well-being (mean 43.4, SD 20.1) and low readiness for health technology. CONCLUSIONS: Implementation of IT in health care of individuals with T2D should be based on comprehensive consideration of mental well-being, emotional distress, and readiness for health technology rather than sociodemographic and disease-related characteristics to identify the individuals in need of social support, self-management education, and extensive IT support. A one-size-fits-all approach to IT implementation in health care will potentially increase the risk of treatment failure among the most vulnerable individuals.

Cancer Survivors' Receptiveness to Digital Technology-Supported Physical Rehabilitation and the Implications for Design: Qualitative Study.

BACKGROUND: Physical activity is associated with a positive prognosis in cancer survivors and may decrease the risk of adverse effects of treatment. Accordingly, physical activity programs are recommended as a part of cancer rehabilitation services. Digital technology may support cancer survivors in increasing their level of physical activity and increase the reach or efficiency of cancer rehabilitation services, yet it also comes with a range of challenges. OBJECTIVE: The aim of this qualitative study was to explore cancer survivors' receptiveness to using digital technology as a mode of support to increase their physical activity in a municipality-based cancer rehabilitation setting. METHODS: Semistructured interviews were conducted with 11 cancer survivors (3 males, 8 females, age range 32-82 years) who were referred for cancer rehabilitation and had participated in a questionnaire survey using the Readiness and Enablement Index for Health Technology (READHY) questionnaire. Data analysis was based on the content analysis method. RESULTS: Two themes were identified as important for the interviewees' receptiveness to using digital technology services in connection with their physical activity during rehabilitation: their attitude toward physical activity and their attitude toward digital technology-assisted physical activity. Our results indicated that it is important to address the cancer survivors' motivation for using technology for physical activity and their individual preferences in terms of the following: (1) incidental or structured (eg, cardiovascular and strength exercises or disease-specific rehabilitative exercises) physical activity; (2) social or individual context; and (3) instruction (know-how) or information (know-why). CONCLUSIONS: The identified preferences provide new insight that complements the cancer survivors' readiness level and can likely help designers, service providers, and caregivers provide solutions that increase patient receptiveness toward technology-assisted physical activity. Combining digital technology informed by cancer survivors' needs, preferences, and readiness with the capacity building of the workforce can aid in tailoring digital solutions to suit not only individuals who are receptive to using such technologies but also those reluctant to do so.

Development of the Multidimensional Readiness and Enablement Index for Health Technology (READHY) Tool to Measure Individuals' Health Technology Readiness: Initial Testing in a Cancer Rehabilitation Setting.

BACKGROUND: The increasing digitization of health care services with enhanced access to fast internet connections, along with wide use of smartphones, offers the opportunity to get health advice or treatment remotely. For service providers, it is important to consider how consumers can take full advantage of available services and how this can create an enabling environment. However, it is important to consider the digital context and the attributes of current and future users, such as their readiness (ie, knowledge, skills, and attitudes, including trust and motivation). OBJECTIVE: The objective of this study was to evaluate how the eHealth Literacy Questionnaire (eHLQ) combined with selected dimensions from the Health Education Impact Questionnaire (heiQ) and the Health Literacy Questionnaire (HLQ) can be used together as an instrument to characterize an individual's level of health technology readiness and explore how the generated data can be used to create health technology readiness profiles of potential users of health technologies and digital health services. METHODS: We administered the instrument and sociodemographic questions to a population of 305 patients with a recent cancer diagnosis referred to rehabilitation in a setting that plans to introduce various technologies to assist the individuals. We evaluated properties of the Readiness and Enablement Index for Health Technology (READHY) instrument using confirmatory factor analysis, convergent and discriminant validity analysis, and exploratory factor analysis. To identify different health technology readiness profiles in the population, we further analyzed the data using hierarchical and k-means cluster analysis. RESULTS: The confirmatory factor analysis found a suitable fit for the 13 factors with only 1 cross-loading of 1 item between 2 dimensions. The convergent and discriminant validity analysis revealed many factor correlations, suggesting that, in this population, a more parsimonious model might be achieved. Exploratory factor analysis pointed to 5 to 6 constructs based on aggregates of the existing dimensions. The results were not satisfactory, so we performed an 8-factor confirmatory factor analysis, resulting in a good fit with only 1 item cross-loading between 2 dimensions. Cluster analysis showed that data from the READHY instrument can be clustered to create meaningful health technology readiness profiles of users. CONCLUSIONS: The 13 dimensions from heiQ, HLQ, and eHLQ can be used in combination to describe a user's health technology readiness level and degree of enablement. Further studies in other populations are needed to understand whether the associations between dimensions are consistent and the number of dimensions can be reduced.

Technology in exercise-based cancer rehabilitation: a cross-sectional study of receptiveness and readiness for e-Health utilization in Danish cancer rehabilitation.

Background: During recent years, there has been an increased focus on technology within cancer survivorship and physical activity rehabilitation. Failure to acknowledge the individuals wishes and/or limitations in the use of technology introduces risk of neglecting or excluding low-resource individuals, thus adding to an already existing inequity within cancer management. It is important to identify vulnerable sub-populations with particular needs when introducing health technology to offer appropriate rehabilitation and support individuals in taking advantage of technology in their physical activity rehabilitation. We report how a population of cancer survivors referred to municipality-based rehabilitation can be segmented, according to their receptiveness and readiness for health technology utilization, to understand their potential barriers towards using technology. Methods: We used a cross-sectional design with convenience sampling among Danish cancer survivors (n = 305) referred to rehabilitation. Participants completed a questionnaire survey covering background information and a new tool to assess self-reported health technology readiness. Demographic, disease and behavioral factors were described in relation to the participants' receptiveness to use technology in physical activity rehabilitation. Participants were stratified according to their health technology readiness and the resulting groups described with regards to the above-mentioned factors. Results: Almost 30% of the participants were un-receptive to use technology in relation to physical activity rehabilitation and were characterized by being more vulnerable with regards to sociodemographic characteristics and scoring lower on dimensions related to eHealth literacy. Stratification of the participants according to their health technology readiness profile revealed four distinct profiles that were significantly different in sociodemographic, disease and behavioral factors. Conclusion: To reduce the risk of alienating low-resource individuals when introducing health technology, evaluation of the individuals' receptiveness to use technology in a rehabilitation context and their readiness for health technology may help tailor the extent to which technology should be offered to assist the cancer survivors.

The Impact of Husbands' Prostate Cancer Diagnosis and Participation in a Behavioral Lifestyle Intervention on Spouses' Lives and Relationships With Their Partners.

BACKGROUND: A prostate cancer diagnosis affects the patient and his spouse. Partners of cancer patients are often the first to respond to the demands related to their husband's illness and thus are likely to be the most supportive individuals available to the patients. It is therefore important to examine how spouses react and handle their husband's prostate cancer diagnosis. OBJECTIVE: The aim of this study was to explore how the prostate cancer diagnosis and the participation in their partners' behavioral lifestyle intervention program influenced the spouses' life, their relationship with their partner, and how they handle the situation. METHODS: Interviews were recorded with 8 spouses of potential low-risk prostate cancer patients on active surveillance as part of a clinical self-management lifestyle trial. RESULTS: We identified 3 phases that the spouses went through: feeling insecure about their situation, coping strategies to deal with these insecurities, and feeling reassured. CONCLUSIONS: The framework of a clinical trial should include mobilizing spousal empowerment so that they can take on an active and meaningful role in relation to their husband's disease. The observations here substantiate that the framework of active surveillance in combination with a lifestyle intervention in 1 specific prostate cancer clinical trial can mobilize spousal empowerment. IMPLICATIONS FOR PRACTICE: Creating well-designed clinical patient programs that actively involve the spouse appears to promote empowerment (meaning, self-efficacy, positive impact, and self-determination) in spouses. Spousal participation in clinical patient programs can give spouses relief from anxieties while recognizing them as a vital support for their husband.

Responses and relationship dynamics of men and their spouses during active surveillance for prostate cancer: health literacy as an inquiry framework.

BACKGROUND: Early stage prostate cancer patients may be allocated to active surveillance, where the condition is observed over time with no intervention. Living with a cancer diagnosis may impose stress on both the men and their spouses. In this study we explore whether the scores of and verbal responses to a Health Literacy Questionnaire can be used to identify individuals in need of information and support and to reveal differences in perception and understanding in health related situations within couples. METHODS: We used the nine-domain Health Literacy Questionnaire (HLQ) as a framework to explore health literacy in eight couples where the men were on active surveillance for prostate cancer progression. Scores were calculated for each domain for both individuals. For each couple differences in scores were also calculated and related to the informants' self-reported experiences and reflections in relation to participating in an active surveillance program. Also an inductive analysis was performed to identify themes in the responses and these themes were compared to those of HLQ. RESULTS: The men tended to score higher than their spouses. There was no consistent relation between scores and the reported experiences and reflections. However, some interesting patterns emerged, e.g. in two of the three couples with the largest within couple differences in HLQ scores, responses revealed discrepancies in how the men and their spouses perceived their situation. Also, three themes emerged which related to six of the HLQ domains, i.e. involvement of spouses and other people around the men; support from and interaction with healthcare professionals; and use of the Internet for information retrieval. CONCLUSIONS: Using the HLQ as an interview framework provided insight into the differences within couples and provided new perspectives on their experiences, including their contact with health professionals and the patient-spouse interaction when dealing with prostate cancer. The HLQ used as a dialogue tool may be an adjunct to assist healthcare providers to understand the need for support and information of men with prostate cancer on active surveillance and the dynamics within couples.

Glucose-6-phosphate dehydrogenase activity in monolayer cultures of thyroid epithelial cells: TSH and inhibition of nitrogen oxide synthase affect the enzyme activity and the oxygen sensitivity of the histochemical assay.

The objective was to investigate glucose-6-phosphate dehydrogenase (G6PD) activity in monolayer cultures of thyroid epithelial cells and to examine whether inhibition of nitric oxide synthase affects activity of G6PD or oxygen sensitivity of the assay. Primary cultures without TSH addition prior to experiments demonstrated a TSH-dependent increase in G6PD activity. G6PD activity was higher in F12 medium than in a serum-free physiological medium. Secondary cultures grown in F12 medium demonstrated a diminished activity of G6PD and a lack of response to TSH. In the serum-free physiological medium, G6PD activity was comparable to that found in primary cultures and a response to high concentrations of TSH was maintained. In primary cultures grown in F12 medium devoid of TSH, G6PD activity decreased dose-dependently when nitric oxide synthase activity was inhibited. The oxygen sensitivity of the assay was comparable to that reported previously in malignant cells and correlated with the activity of G6PD in primary cultures. We suggest that thyroid epithelial cells may be an appropriate system to investigate oxygen sensitivity of the G6PD assay as the cells demonstrate a reduced oxygen sensitivity which can be influenced by culture conditions.