Technology in general, and assistive technology in particular, is considered to be a promising opportunity to address the challenges of an aging population. Nevertheless, in health care, technology is not as widely used as could be expected. In this chapter, an overview is given of theories and models that help to understand this phenomenon. First, the design of (assistive) technologies will be addressed and the importance of human-centered design in the development of new assistive devices will be discussed. Also theories and models are addressed about technology acceptance in general. Specific attention will be given to technology acceptance in healthcare professionals, and the implementation of technology within healthcare organizations. The chapter will be based on the state of the art of scientific literature and will be illustrated with examples from our research in daily practice considering the different perspectives of involved stakeholders.
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Aim: To explore which factors are associated with psychological insulin resistance in insulin-naive patients with Type 2 diabetes in primary care.Methods: A sample of 101 insulin-naive patients with Type 2 diabetes completed self-administered questionnaires including demographic and clinical characteristics, the Insulin Treatment Appraisal Scale and the Center for Epidemiological Studies Depression scale. Psychological insulin resistance was denoted by negative appraisal of insulin (Insulin Treatment Appraisal Scale).Results: Thirty-nine per cent of the sample were unwilling to accept insulin therapy. Unwilling participants perceived taking insulin more often as a failure to control their diabetes with tablets or lifestyle compared with willing participants (59 vs. 33%), unwilling participants were more reluctant to accept the responsibilities of everyday management of insulin therapy (49 vs. 24%). Multiple linear regression analysis revealed that depression and objection to lifelong insulin therapy were independently associated with psychological insulin resistance.Conclusions: In this study in primary care, depression and objection to lifelong insulin therapy are associated with psychological insulin resistance. Analysis of the objection to the indefiniteness of insulin therapy showed a sense of limitation of daily life and loss of independence that should not be underestimated. Insulin should be offered as a means to improve health as this might facilitate the acceptance of insulin therapy.
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This study addresses the burgeoning global shortage of healthcare workers and the consequential overburdening of medical professionals, a challenge that is anticipated to intensify by 2030 [1]. It explores the adoption and perceptions of AI-powered mobile medical applications (MMAs) by physicians in the Netherlands, investigating whether doctors discuss or recommend these applications to patients and the frequency of their use in clinical practice. The research reveals a cautious but growing acceptance of MMAs among healthcare providers. Medical mobile applications, with a substantial part of IA-driven applications, are being recognized for their potential to alleviate workload. The findings suggest an emergent trust in AI-driven health technologies, underscored by recommendations from peers, yet tempered by concerns over data security and patient mental health, indicating a need for ongoing assessment and validation of these applications
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Purpose: The aim of this study was to assess physiotherapists’ clinical use and acceptance of a novel telemonitoring platform to facilitate the recording of measurements during rehabilitation of patients following anterior cruciate ligament reconstruction. Additionally, suggestions for platform improvement were explored. Methods: Physiotherapists from seven Dutch private physiotherapy practices participated in the study. Data were collected through log files, a technology acceptance questionnaire and focus group meetings using the “buy a feature” method. Data regarding platform use and acceptance (7-point/11-point numeric rating scale) were descriptively analysed. Total scores were calculated for the features suggested to improve the platform, based on the priority rating (1 = nice to have, 2 = should have, 3 = must have). Results: Participating physiotherapists (N = 15, mean [SD] age 33.1 [9.1] years) together treated 52 patients during the study period. Platform use by the therapists was generally limited, with the number of log-ins per patient varying from 3 to 73. Overall, therapists’ acceptance of the platform was low to moderate, with average (SD) scores ranging from 2.5 (1.1) to 4.9 (1.5) on the 7-point Likert scale. The three most important suggestions for platform improvement were: (1) development of a native app, (2) system interoperability, and (3) flexibility regarding type and frequency of measurements. Conclusions: Even though health care professionals were involved in the design of the telemonitoring platform, use in routine care was limited. Physiotherapists recognized the relevance of using health technology, but there are still barriers to overcome in order to successfully implement eHealth in routine care.
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Background: Limited information is available on the experiences of patients during rehabilitation after anterior cruciate ligament reconstruction (ACLR). Aim: The current study aimed to identify factors that differentiated positive and negative patient experiences during rehabilitation after ACLR. Method and Design: A survey-based study with an online platform was used to identify factors that differentiated positive and negative patient experiences during rehabilitation after ACLR. Seventy-two patients (age 27.8 [8.8] y) after ACLR participated. Data were analyzed and themes were identified by comparing categories and subcategories on similarity. Main Findings: Positive patient experiences were room for own input, supervision, attention, knowledge, honesty, and professionalism of the physiotherapist. Additionally, a varied and structured rehabilitation program, adequate facilities, and contact with other patients were identified as positive patient experiences. Negative experiences were a lack of attention, lack of professionalism of the physiotherapists, a lack of sport-specific field training, a lack of goal setting, a lack of adequate facilities, and health insurance costs. Conclusions: The current study identified factors that differentiated positive and negative patient experiences during rehabilitation after ACLR. These findings can help physiotherapists in understanding the patient experiences during rehabilitation after ACLR.
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Aims. The aim of this study is to gain insight into the level of emotional intelligence of mental health nurses in the Netherlands. Background. The focus in research on emotional intelligence to date has been on a variety of professionals. However, little is known about emotional intelligence in mental health nurses. Method. The emotional intelligence of 98 Dutch nurses caring for psychiatric patients is reported. Data were collected with the Bar-On Emotional Quotient Inventory within a cross-sectional research design. Results. The mean level of emotional intelligence of this sample of professionals is statistically significant higher than the emotional intelligence of the general population. Female nurses score significantly higher than men on the subscales Empathy, Social Responsibility, Interpersonal Relationship, Emotional Self-awareness, Self-Actualisation and Assertiveness. No correlations are found between years of experience and age on the one hand and emotional intelligence on the other hand. Conclusions. The results of this study show that nurses in psychiatric care indeed score above average in the emotional intelligence required to cope with the amount of emotional labour involved in daily mental health practice. Relevance to clinical practice. The ascertained large range in emotional intelligence scores among the mental health nurses challenges us to investigate possible implications which higher or lower emotional intelligence levels may have on the quality of care. For instance, a possible relation between the level of emotional intelligence and the quality of the therapeutic nurse–patient relationship or the relation between the level of emotional intelligence and the manner of coping with situations characterised by a great amount of emotional labour (such as caring for patients who self-harm or are suicidal).
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This article describes the relation between mental health and academic performance during the start of college and how AI-enhanced chatbot interventions could prevent both study problems and mental health problems.
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This paper explores the application of Self-Concepts, a Semantic-Differential Scale-based methodology, to evaluate a Serious Game designed for cognitive impairment assessment using the MoCA test and augmented reality (AR) for mobility analysis. A case study involved seven elderly participants. Despite some challenges in navigating the AR environment and cognitive tests, self-concept evaluations consistently demonstrated high user expectations and positive experiences with the digital artifact. This study validates the process and highlights the potential of Self-Concepts in assessing product acceptance within user groups.
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Background: Patient involvement in interprofessional education (IPE) is a new approach in fostering person-centeredness and collaborative competencies in undergraduate students. We developed the Patient As a Person (PAP-)module to facilitate students in learning from experts by experience (EBEs) living with chronic conditions, in an interprofessional setting. This study aimed to explore the experiences of undergraduate students, EBEs and facilitators with the PAP-module and formulate recommendations on the design and organization of patient involvement in IPE. Methods: We collected data from students, EBEs and facilitators, through eight semi-structured focus group interviews and two individual interviews (N = 51). The interviews took place at Maastricht University, Zuyd University of Applied Sciences and Regional Training Center Leeuwenborgh. Conventional content analysis revealed key themes. Results: Students reported that learning from EBEs in an interprofessional setting yielded a more comprehensive approach and made them empathize with EBEs. Facilitators found it challenging to address multiple demands from students from different backgrounds and diverse EBEs. EBEs were motivated to improve the personcentredness of health care and welcomed a renewed sense of purpose. Conclusions: This study yielded six recommendations: (a) students from various disciplines visit an EBE to foster a comprehensive approach, (b) groups of at least two students visit EBEs, (c) students may need aftercare for which facilitators should be receptive, (d) EBEs need clear instruction on their roles, (e) multiple EBEs in one session create diversity in perspectives and (f) training programmes and peer-to-peer sessions for facilitators help them to interact with diverse students and EBEs.
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