Qualitative and Quantitative Analysis of Definitions of e-Health and m-Health

Explaining intention and use of Mhealth with the unified theory of acceptance and use of technology

BACKGROUND

mHealth can alleviate the pressure on healthcare. However, its adoption is limited, especially among low socioeconomic groups. Identifying factors that influence the intention to and actual use of mHealth is crucial to increase adoption.

OBJECTIVE

To identify factors influencing intention and use of mHealth apps among Dutch adults, focusing on various socioeconomic populations using the Unified Theory of Acceptance and Use of Technology.

METHOD AND SAMPLE

A web based survey recruited 242 Dutch adults via panels and convenience sampling. Two multiple linear regressions were performed to explain behavioral intention and the use of mHealth.

RESULTS

Of the participants, 65.0 % were low educated and 10.0 % had a low income. A significant model fit explaining 82.5 % of the variance was found for the outcome behavioral intention to use mHealth. Within this model, five significant correlating factors were found: habit (β = 0.23), compatibility (β = 0.57), Age (β = 0.10), performance expectancy (β = 0.15) and price value (β = -0.08). A significant model fit for the outcome use of mHealth was found and explained 57.9 % of variance. Factors that correlated significantly with the outcome were: habit (β = 0.21), education (β = 0.17), innovativeness (β = 0.12) and behavioral intention (β = 0.58). Low-income participants did not use mHealth less. High education, personal innovativeness, and older age were linked to greater mHealth use and intention.

CONCLUSION

To increase mHealth use, the results of this study suggest raising awareness of its benefits and compatibility. Additionally, encouraging habitual use can boost both intention and usage.

Study protocol for improving mental health during pregnancy: a randomized controlled low-intensity m-health intervention by midwives at primary care centers

BACKGROUND

Pregnancy-related anxiety and depression has received considerable attention worldwide. Mental health problems in pregnant women already since early weeks of gestation may have important consequences to the fetus. The necessity for more effective health care pathways, including some early interventions that reduce the overall burden of the childbearing situation appears a key factor for a successful birth and care of the baby. The few studies focalized in interventions, are focused on delivery and postpartum, without taking into account the whole maternity process. Current literature recommends the use of interventions based on new technologies for the treatment of mood disorders, already during the prenatal period. There have been scarce well-designed intervention studies that test technological low-intensity interventions by midwives to address pregnant women's mental health, diminishing anxiety and depression during pregnancy.

METHODS/DESIGN

Adult pregnant women (weeks 12-14 of gestation) will be recruited and screened from different primary care centers in Catalonia, Spain. Women who pass the initial mental screening will be randomly allocated to the relaxation virtual reality intervention or control group. The intervention aims to improve mental state of pregnant women during pregnancy, work through breathing, mindfulness and muscle relaxation techniques. Women in the control group will receive standard care offered by the public funded maternity services in Catalonia. The primary outcome measures will include the Edinburg Postnatal Depression (EPDS), State Trait Anxiety Inventory (STAI), Symptom Checklist-90 (SCL-90), and the Cambridge Worry Scale (CWS) instruments. Secondary outcome measures will include the Temperament and Character Inventory-Revised (TCI-R) and the Whooley and Generalized Anxiety Disorder-2 (GAD-2) questions. Routinary pregnancy monitoring measures will be also evaluated.

DISCUSSION

This study aims to test the efficacy of a low-intensity, midwife-led e-health intervention based on new technologies to work on women's anxiety and depression during pregnancy. We hypothesize that low-intensity mental health intervention during pregnancy, using an e-health (virtual reality) as a support tool, will be effective in reducing of anxiety, depressive symptoms, and improving satisfaction with pregnancy follow-up.

TRIAL REGISTRATION

Clinical Trials ID NCT05756205.

Envelhecimento, Covid-19 e Saúde Digital: Reflexões sobre o Cenário Brasileiro

O Brasil está entre os países que apresenta um dos mais expressivos índices de aumento da população idosa no mundo. Diante do cenário atual de pandemia, as discussões sobre a covid-19 parecem retomar e escancarar estigmas sociais associados à velhice. Nesse sentido, o objetivo deste artigo é propor uma discussão sobre o olhar da psicologia do envelhecimento e a pandemia do coronavírus, articulando com os avanços em termos de políticas públicas no contexto brasileiro e perspectivas futuras quanto à promoção de saúde para a população idosa. Para tanto, os tópicos apresentados se complementam de maneira a concluir que a estratégia de saúde digital tem buscado avançar, com o propósito de expandir a oferta e o acesso aos serviços de atenção. Logo, apresenta-se como uma alternativa para promover o envelhecimento ativo e reduzir as barreiras impostas à população idosa brasileira.

The Mobile Patient Information Assistant (PIA) App during the Inpatient Surgical Hospital Stay: Evaluation of Usability and Patient Approval

Mobile eHealth apps are becoming increasingly important tools in healthcare management, capable of providing education and support at any time. There is little knowledge about surgical patients' appreciation and use of these apps. The objective of this study was to develop and evaluate a user-friendly medical app (PIA; Patient Information Assistant) for providing individual patient information before and after inpatient urological surgery. Twenty-two patients aged 35 to 75 years were provided with timely information, push notifications, and personalized agendas (e.g., date of presentation, time of surgery, time of doctor's consultation, imaging appointment) via the PIA app. Of the 22 patients, 19 evaluated the PIA app in terms of usage and usability, benefits, and potential for improvement. Of the study participants, 95% did not need any assistance to use the app, 74% confirmed that the PIA app made them feel better informed and more satisfied with their hospital stay, and 89% stated that they would like to re-use the PIA app and support the general use of medical apps in healthcare. Thus, we created an innovative digital health information tool, allowing targeted support for doctor-nurse-patient communication and offering great potential for patient support before and after surgery. Our study revealed that use of an app during the surgical hospital stay is readily accepted and benefits patients by acting as an additional informative tool.

Digital health tools for pain monitoring in pediatric oncology: a scoping review and qualitative assessment of barriers and facilitators of implementation

PURPOSE

We aimed to systematically identify and characterize existing digital health tools for pain monitoring in children with cancer, and to assess common barriers and facilitators of implementation.

METHODS

A comprehensive literature search (PubMed, Cochrane, Embase, and PsycINFO) was carried out to identify published research on mobile apps and wearable devices focusing on acute and/or chronic pain in children (0-18 years) with cancer (all diagnoses) during active treatment. Tools had to at least include a monitoring feature for one or more pain characteristic(s) (e.g., presence, severity, perceived cause interference with daily life). Project leaders of identified tools were invited for an interview on barriers and facilitators.

RESULTS

Of 121 potential publications, 33 met inclusion criteria, describing 14 tools. Two methods of delivery were used: apps (n=13), and a wearable wristband (n=1). Most publications focused on feasibility and acceptability. Results of interviews with project leaders (100% response rate), reveal that most barriers to implementation were identified in the organizational context (47% of barriers), with financial resources and insufficient time available mentioned most often. Most factors that facilitated implementation related to end users (56% of facilitators), with end-user cooperation and end-user satisfaction mentioned most often.

CONCLUSIONS

Existing digital tools for pain in children with cancer were mostly apps directed at pain severity monitoring and little is still known about their effectiveness. Paying attention to common barriers and facilitators, especially taking into account realistic funding expectations and involving end users during early stages of new projects, might prevent evidence based interventions from ending up unused.

Perspectives on Promoting Physical Activity Using eHealth in Primary Care by Health Care Professionals and Individuals With Prediabetes and Type 2 Diabetes: Qualitative Study

BACKGROUND

The trend of an exponential increase in prediabetes and type 2 diabetes (T2D) is projected to continue rising worldwide. Physical activity could help prevent T2D and the progression and complications of the disease. Therefore, we need to create opportunities for individuals to acquire the necessary knowledge and skills to self-manage their chronic condition through physical activity. eHealth is a potential resource that could facilitate self-management and thus improve population health. However, there is limited research on users' perception of eHealth in promoting physical activity in primary care settings.

OBJECTIVE

This study aims to explore the perspectives of health care professionals and individuals with prediabetes and T2D on eHealth to promote physical activity in primary care.

METHODS

A qualitative approach was applied using focus group discussions among individuals with prediabetes or T2D (14 participants in four groups) and health care professionals (10 participants in two groups). The discussions were audio-recorded and transcribed verbatim. Qualitative content analysis was used inductively to code the data.

RESULTS

Three main categories emerged: utility, adoption process, and accountability. The utility of eHealth was described as a motivational, entertaining, and stimulating tool. Registration of daily medical measurements and lifestyle parameters in a cohesive digital platform was recognized as a potential resource for strengthening self-management skills. The adoption process includes eHealth to increase the accessibility of care and personalize the support of physical activity. However, participants stated that digital technology might only suit some and could increase health care providers' administrative burden. Accountability refers to the knowledge and skills to optimize eHealth and ensure data integrity and security.

CONCLUSIONS

People with prediabetes and T2D and health care professionals positively viewed an integration of eHealth technology in primary care to promote physical activity. A cohesive platform using personal metrics, goal-setting, and social support to promote physical activity was suggested. This study identified eHealth illiteracy, inequality, privacy, confidentiality, and an increased workload on health care professionals as factors of concern when integrating eHealth into primary care. Continuous development of eHealth competence was reported as necessary to optimize the implementation of eHealth technology in primary care.

Digital Well-being Through the Use of Technology-A Perspective

"No man is an island unto himself" - John Donne According to the World Health Organization, health is "a state of complete physical, mental and social well-being and not merely the absence of disease and infirmity." Our healthcare industry, public behaviors, and environment have grown exponentially with digital technologies in the era of the 4^th industrial revolution. Due to rapid digitalization and easy availability of the internet, we are now online round the clock on our digital devices, leaving behind digital traces/information. These digital footprints serve as an increasingly fruitful data source for social scientists, including those interested in demographic research. The collection and use of digital data (quantitative and qualitative) also present numerous statistical and computational opportunities, further motivating the development of new research approaches to address health issues. In this paper, we have described the concept of digital well-being and proposed how we can use digital information for good health.

Chronic pain through COVID

Objectives

To identify good practice in the community management of chronic pain, and to understand the perspective of a group of healthcare service users towards the management of chronic pain using technology during the COVID-19 pandemic.

Methods

Forty-five people, recruited via social media and Pain Association Scotland, participated in three focus groups hosted over Zoom. Focus groups were conducted using semi-structured questions to guide the conversation. Data were analysed using Ritchie / Spencer's Framework Analysis.

Results

The participants shared observations of their experiences of remotely supported chronic pain services and insights into the potential for future chronic pain care provision. Experiences were in the majority positive with some describing their rapid engagement with technology during the COVID pandemic.

Conclusion

Results suggest there is strong potential for telehealth to complement and support existing provision of pain management services.

Challenges in the Adoption of eHealth and mHealth for Adult Mental Health Management—Evidence from Romania

New methods of connecting physicians and patients have arisen. Technology is playing a crucial role and the concept of hybrid doctor–patient relationship is considered relevant for the competitive health management system. At the same time, the need for knowledge about implementing policies and best practices into the system is highly demanding. Digital tools, such as eHealth or mHealth can improve the traditional approach to consulting patients without requiring face-to-face interaction. However, due to the discussion surrounding the adoption of these technologies, the authors performed the study with two marketing research methods. The first is qualitative and is related to the opinions, attitudes, and beliefs of Romanian experts on the use of eHealth and mHealth for the prevention, detection, and treatment of mild mental disorders. The second method quantifies the opinions, attitudes, and behaviours of Romanian adults on their openness to adopt new technologies for mental health management. The main findings of the research highlight three factors that can increase the chances of adults using technology for health-related needs: (1) accessibility (2) data security, and (3) content. These are the main aspects that influence the well-being of both young and older adults, who both need support regarding mental health management.

An Authentication Protocol for the Medical Internet of Things

The progress in biomedical sensors, Internet of Things technologies, big data, cloud computing, and artificial intelligence is leading the development of e-health medical systems, offering a range of new and innovative services. One such service is remote patient monitoring, where medical professionals are able to collect and examine a patient’s medical data remotely. Of course, in these systems, security and privacy are of utmost importance and we need to verify the identities of system users before granting them access to sensitive patient-related data. To this end, several authentication protocols have been recently designed specifically for e-health systems. We survey several of these protocols and report on flaws and shortcomings we discovered. Moreover, we propose an authentication protocol that enables a medical professional and the network of sensors used by a patient to authenticate each other and share a cryptographic key to be used for security in a communication session. The protocol also enables the dynamic assignment of patients to doctors in order to control access to patients’ data. We perform a security analysis of the protocol both formally, using the ProVerif protocol analysis tool, and informally, demonstrating its security features. We show that our protocol achieves mutual authentication, secret key establishment, forward secrecy, and anonymity. In terms of performance, the protocol is computationally lightweight, as it relies on symmetric key cryptography. This is demonstrated by comparing the computational cost of our protocol (in terms of execution time) with that of other similar protocols.

Going digital - a commentary on the terminology used at the intersection of physical activity and digital health

In recent years digital technologies have become a major means for providing health-related services and this trend was strongly reinforced by the current Coronavirus disease 2019 (COVID-19) pandemic. As it is well-known that regular physical activity has positive effects on individual physical and mental health and thus is an important prerequisite for healthy aging, digital technologies are also increasingly used to promote unstructured and structured forms of physical activity. However, in the course of this development, several terms (e.g., Digital Health, Electronic Health, Mobile Health, Telehealth, Telemedicine, and Telerehabilitation) have been introduced to refer to the application of digital technologies to provide health-related services such as physical interventions. Unfortunately, the above-mentioned terms are often used in several different ways, but also relatively interchangeably. Given that ambiguous terminology is a major source of difficulty in scientific communication which can impede the progress of theoretical and empirical research, this article aims to make the reader aware of the subtle differences between the relevant terms which are applied at the intersection of physical activity and Digital Health and to provide state-of-art definitions for them.

Theory-Based Problem Formulation and Ideation in mHealth

This article reports on an investigation into how to improve problem formulation and ideation in Design Science Research (DSR) within the mHealth domain. A Systematic Literature Review of problem formulation in published mHealth DSR papers found that problem formulation is often only weakly performed, with shortcomings in stakeholder analysis, patient-centricity, clinical input, use of kernel theory, and problem analysis. The study proposes using Coloured Cognitive Mapping for DSR (CCM4DSR) as a tool to improve problem formulation in mHealth DSR. A case study using CCM4DSR found that using CCM4DSR provided a more comprehensive problem formulation and analysis, highlighting aspects that, until CCM4DSR was used, weren’t apparent to the research team and which served as a better basis for mHealth feature ideation.

Modification of Case-Based Reasoning Similarity Formula to Enhance the Performance of Smart System in Handling the Complaints of in vitro Fertilization Program Patients

Objectives

Eighty percent of in vitro fertilization (IVF) patients have high anxiety levels, which influence the success of IVF and drive IVF patients to quickly report any abnormal symptoms. Rapid responses from fertility subspecialist doctors may reduce patients’ anxiety levels, but fertility subspecialist doctors’ high workload and their patients’ worsening health conditions make them unable to handle IVF patients’ complaints quickly. Research suggests that smart systems using case-based reasoning (CBR) can help doctors handle patients quickly. However, a prior study reported enhanced accuracy by modifying the CBR similarity formula based on Lin’s similarity theory to generate the Chris case-based reasoning (CCBR) similarity formula.

Methods

The data were validated through interviews with two fertility subspecialist doctors, interviews with two IVF patients, a questionnaire administered to 17 community members, the relevant literature, and 256 records with data on IVF patients’ complaints and how they were handled. An experiment compared the performance of the CBR similarity formula algorithm with the CCBR similarity formula algorithm.

Results

A confusion matrix showed that the CCBR similarity formula had an accuracy value of 52.58% and a precision value of 100%. Fertility subspecialist doctors stated that 89.69% of the CCBR similarity formula recommendations were accurate.

Conclusions

We recommend applying a combination of the CCBR similarity formula and a minimum reference value of 80% with a CBR smart system for handling IVF patients’ complaints. This recommendation for an accurate system produced by the CBR similarity formula may help fertility subspecialist doctors handle IVF patients’ complaints.

Healthcare workers' perceptions of how eHealth applications can support self-care for patients undergoing planned major surgery

Background

In planned major surgery the duration of inpatient hospital care during the last decade has decreased because of a combination of different perioperative interventions. It is expected that patients can manage the needed pre- and postoperative self-care to a large extent on their own. This entails challenges to healthcare system to deliver appropriate information to patients in a safe and efficient manner. The aim of this study was therefore to describe healthcare workers’ perceptions of how eHealth applications can support patients’ self-care in relation to planned major surgery.

Methods

Semi-structured interviews were performed with sixteen healthcare workers from different disciplines. The interviews were transcribed and analysed using the phenomenography approach.

Results

Healthcare workers perceived both positive aspects and challenges with eHealth applications for self-care. eHealth applications can work as an information source, affect patients’ understanding of self-care, improve patients’ participation in self-care, streamline communication with healthcare professionals and improve patient safety during the pre- and postoperative period. The challenges included perceptions of that eHealth applications may have negative impact on personal interaction in care. eHealth applications may not be useful to all patients because of lack of equipment or knowledge and may increase patients’ suffering if physical visits are replaced by digital solutions.

Conclusions

This study improves our understanding of healthcare workers’ perceptions of how the use of self-care eHealth applications can support patients in performing pre- and postoperative self-care for major surgery. Access to appropriate and personalized information and instructions can improve patients’ understanding of self-care and enhance the participation and safety of those who can afford and handle digital tools. All these aspects must be considered in future digital development of eHealth applications to guarantee a person-centered care.

Prioritizing and Overcoming Barriers to e-Health Use among Elderly People: Implementation of the Analytical Hierarchical Process (AHP)

Rise in the aging population brings new challenges to modern societies. Old age is associated with several morbidities and usual issues related to health. Therefore, the provision of healthy and timely care has become the dire need to maintain their quality of life and wellbeing. The evolution of the e-health care system put pressure on societies to implement it successfully to ensure a safe and prompt provision of care services to the most vulnerable population successfully. Therefore, the provision and implementation of the e-health care system is a challenge for the health industry in terms of multi-objective decision-making. Multicriteria decision-making is a generalizable approach to making decisions with dependence and feedback and is known as an effective tool in decision-making processes, particularly in the healthcare sector. The present study aims to present an e-healthcare framework by identifying and prioritizing potential barriers towards the use of e-health by the elderly population. The analytical hierarchy process approach is adopted to calculate weights of identified potential barriers, respectively, and then rank them based on their degree of significance. The findings show that health and the ability-related barrier is ranked highest, followed by socio-environmental and attitudinal barriers. This research contributes to healthcare decision-making regarding e-health usage by implementing MCDA techniques. Our study will assist the public health practitioners and policymakers in drawing decisions on the best strategy to minimize the risks in using the e-healthcare system by the aging population, which significantly contributes to the smart healthcare system.

Evaluation of m‐Health‐rehabilitation for respiratory disorders: A systematic review

Background and Aims

Chronic respiratory diseases are prominent causes of morbidity worldwide that impose significant social and economic burdens on individuals and communities. Pulmonary rehabilitation is one of the main aspects of medical rehabilitation. Nowadays, mobile health apps deliver pulmonary rehabilitation support via smartphones. This article presents a systematic review of the literature on m‐Health apps used in respiration disorders rehabilitation.

Methods

A systematic search was performed on MEDLINE (through PubMed), Web of Science, and Scopus in May 2021 without any date limitation. This study was using a combination of keywords and MeSH terms associated with pulmonary rehabilitation. Relevant studies were selected by two independents and were categorized studies results. The inclusion criterion was m‐Health apps for pulmonary rehabilitation and exclusion criteria mobile‐based interventions, by voice call or short message service and cardiopulmonary articles.

Results

Searching scientific databases yielded 161 relevant articles. Then, 27 articles were included in the study with a complete evaluation of the articles. Sixty percent of them were related to patients with chronic obstructive pulmonary disease (COPD). Rehabilitation aiming to improve the quality of life, promote self‐management, encourage physical activity, and reduce the symptoms as the most common goals of pulmonary rehabilitation using m‐Health apps; 89% of these studies showed that m‐Health apps can be effective in improving pulmonary rehabilitation. In addition, 37% of studies reported high usability and acceptance. However, the results of some studies show that adherence to apps decreases in the long run.

Conclusion

Our study shows that m‐Health pulmonary rehabilitation apps are effective in improving the quality of life, self‐management, and physical activity. According to the results, it seems that using the m‐Health apps for pulmonary rehabilitation can be useful in the COVID‐19 pandemic and help reduce respiratory disorders in patients with COVID‐19 disease.

Technische Alltagshilfen in der Rheumatologie – Was ist sinnvoll, was ist bewiesen, welche Perspektiven gibt es?

Einschränkungen der Alltagsaktivität sind ein relevantes gesundheitliches Problem bei Patienten mit entzündlich-rheumatischen Systemerkrankungen. Technische Alltagshilfen nehmen in der Rehabilitation von diesen Teilhabeeinschränkungen einen hohen Stellenwert ein. Wir erläutern Evidenz für den Einsatz von Alltagshilfen und die neuen Entwicklungen auf diesem Gebiet.

Digital Health and Digital Learning Experiences Across Speech-Language Pathology, Phoniatrics, and Otolaryngology: Interdisciplinary Survey Study

BACKGROUND

Advances in digital health and digital learning are transforming the lives of patients, health care providers, and health professional students. In the interdisciplinary field of communication sciences and disorders (CSD), digital uptake and incorporation of digital topics and technologies into clinical training programs has lagged behind other medical fields. There is a need to understand professional and student experiences, opinions, and needs regarding digital health and learning topics so that effective strategies for implementation can be optimized.

OBJECTIVE

This cross-sectional survey study aims to interdisciplinarily investigate professional and student knowledge, use, attitudes, and preferences toward digital health and learning in the German-speaking population.

METHODS

An open-ended, web-based survey was developed and conducted with professionals and students in CSD including phoniatricians and otolaryngologists, speech-language pathologists (German: Logopäd*innen), medical students, and speech-language pathology students. Differences in knowledge, use, attitudes, and preferences across profession, generation, and years of experience were analyzed.

RESULTS

A total of 170 participants completed the survey. Respondents demonstrated greater familiarity with digital learning as opposed to eHealth concepts. Significant differences were noted across profession (P<.001), generation (P=.001), and years of experience (P<.001), which demonstrated that students and younger participants were less familiar with digital health terminology. Professional (P<.001) and generational differences were also found (P=.04) in knowledge of digital therapy tools, though no significant differences were found for digital learning tools. Participants primarily used computers, tablets, and mobile phones; non-eHealth-specific tools (eg, word processing and videoconferencing applications); and digital formats such as videos, web courses, and apps. Many indicated a desire for more interactive platforms, such as virtual reality. Significant differences were found across generations for positive views toward digitalization (P<.001) and across profession for feelings of preparedness (P=.04). Interestingly, across profession (P=.03), generation (P=.006), and years of experience (P=.01), students and younger participants demonstrated greater support for medical certification. Commonly reported areas of concern included technical difficulties, quality and validity of digital materials, data privacy, and social presence. Respondents tended to prefer blended learning, a limited to moderate level of interactivity, and time and space-flexible learning environments (63/170, 37.1%), with a notable proportion still preferring traditional time and space-dependent learning (49/170, 28.8%).

CONCLUSIONS

This comprehensive investigation into the current state of CSD student and professional opinions and experiences has shown that incorporation of digital topics and skills into academic and professional development curricula will be crucial for ensuring that the field is prepared for the ever-digitalizing health care environment. Deeper empirical investigation into efficacy and acceptance of digital learning and practice strategies and systematic training and practical organizational supports must be planned to ensure adaptive education and practice.

Reference Architectures, Platforms, and Pilots for European Smart and Healthy Living—Analysis and Comparison

Motivated by the aging trend, much effort is being invested into implementing ICT (Information and Communications Technology)-enabled systems to provide a better quality of life and support the independent living of older people. As a result, many systems, often labeled as eHealth or AAL (Ambient/Active Assisted Living), were developed over the years. In creating such systems, which very often serve various needs, different architectures have emerged. This work focuses on analyzing and comparing the work and architectures from seven (six of which are in progress) EU-funded healthcare projects, with a total budget of 126MEUR in which we participate. After establishing the theoretical foundation by defining core concepts, we give a brief background on architectures in eHealth and AAL. We elaborate on the chosen analysis method based on three established healthcare and AAL taxonomies we identified by performing a literature survey and the selected Reference Architecture Model (RAM). Since there is no standard way of describing architectures in the eHealth and AAL domain, we conducted the online survey during August and September 2020 and identified CREATE-IoT 3D RAM as the most appropriate option. We present a classification of selected projects based on established taxonomies and map projects’ architectures to CREATE-IoT 3D RAM, which we also propose as standard RAM for future digital healthcare and AAL projects. During our analysis, we identify the most common types of assistance: communication support, reminders, monitoring, and guidance to address health and communication issues. We conclude that proper ecosystems are critical for lowering entry barriers and facilitating sustainable solutions for smart and healthy living.

Patients' Perceived Satisfaction Through Telephone-Assisted Tele-Consultation During the SARS-CoV-2 Pandemic Period: Observational Single-Centre Study at a Tertiary-Referral Colorectal Surgery Department

Introduction: The pandemic produced by SARS-CoV-2 has obliged us to set up the tele-assistance to offer a continuity of care. This implies an innovation, being the degree of satisfaction of patients unknown. Methods: A telephonic survey was conducted with the validated in the Spanish tool Telehealth Usability Questionnaire (Telehealth Usability Questionnaire; rating from 1-7) of all candidate patients assisted consecutively in the Coloproctology Unit. We included demographic variables, education level, job status, diagnosis and consultation type. A descriptive study was done. The relationship between the willingness of consultation model in the future (telemedicine vs traditional) and the categorical variables was analysed through the chi-squared test. Results: A total of 115 patients were included. The average age was 59.9 years, being 60% women. The average score in each of the survey items was higher than 6 in all the questions but 1. 26.1% of the surveyed patients confessed being advocated to tele-assistance in the future. The only factors related to greater willingness to tele-assistance were male gender (37% vs 18.8%; P = .03) and a higher academic preparation level in favour of higher technical studies (35.9%) and university studies (32.4%) opposite to the rest (P = .043). The rest of variables studied, job status, labour regimen, diagnostic group and consultation type did not show any relationship. Conclusions: A vast majority of patients answered favourably to almost all the items of the survey. However, only 26.1% of them would choose a model of tele-assistance without restrictions.

Patient experiences of self-care management after radical prostatectomy

PURPOSE

Prostate cancer is the most common cancer form in Sweden and side effects of the leading treatment, radical prostatectomy, include urinary leakage and erectile dysfunction. Patients are recommended to perform self-care to reduce side effects, but their experiences of performing self-care management after radical prostatectomy are largely unexplored. The aim of this study was to deepen the understanding about patient experiences of support for managing self-care during the first six months after radical prostatectomy.

METHODS

Eighteen patients were consecutively recruited six months after surgery and individual interviews were conducted. The study had a descriptive qualitative approach and inductive content analysis was used.

RESULTS

Patients described self-care management during the first half-year after surgery as a progression with growth in self-management skills through interconnected phases, from initially striving to get a grasp of the situation and find supportive relationships, to getting grounded in the new situation and taking command of the situation. At six months after surgery, patients had reached a point where they needed to maneuver feelings about long-term consequences.

CONCLUSIONS

Standardized routines ensure a certain level of care, but are sparsely adjustable to patients' progression in self-care management. For sustained self-care behaviors, tailored and interactive support is required from multiple disciplines and peers, in order for a patient to get grounded in and take command of the situation.

e-health usage and health workers' motivation and job satisfaction in Ghana

Background

The application of digital technology to improve health service delivery is increasing rapidly in Low- and Middle- Income Countries (LMICs). Digital tools such as electronic health (e-health) have been shown to improve healthcare quality, efficiency and patient satisfaction. However, evidence on health workers’ experiences using e-health services is limited in LMICs. This study examined the relationship between e-health usage and health workers’ motivation and job satisfaction.

Methods

This was a cross-sectional survey design involving health workers across public and private hospitals in the Accra Metropolitan Assembly (AMA). A structured questionnaire was designed and self-administered to 305 respondents. Partial Least Square-Structural Equation Modelling (PLS-SEM) was employed to analyse the data.

Results

Findings showed a significant positive association of job satisfaction with e-health (p < 0.01) and type of hospital (p < 0.01) but not motivation (p = 0.42). Although type of hospital significantly influenced job satisfaction (p < 0.01), it had no significant mediating effect on the relationship between e-health and job satisfaction. Finally, type of hospital interacted with e-health to moderate the association between e-health usage and job satisfaction.

Conclusion

The findings suggest that e-health systems can catalyse health workers job satisfaction. Thus, measures to strengthen e-health structures to improve on their efficiency and effectiveness is crucial.