Background: In recent years, the effectiveness and cost-effectiveness of digital health services for people with musculoskeletal conditions have increasingly been studied and show potential. Despite the potential of digital health services, their use in primary care is lagging. A thorough implementation is needed, including the development of implementation strategies that potentially improve the use of digital health services in primary care. The first step in designing implementation strategies that fit the local context is to gain insight into determinants that influence implementation for patients and health care professionals. Until now, no systematic overview has existed of barriers and facilitators influencing the implementation of digital health services for people with musculoskeletal conditions in the primary health care setting. Objective: This systematic literature review aims to identify barriers and facilitators to the implementation of digital health services for people with musculoskeletal conditions in the primary health care setting. Methods: PubMed, Embase, and CINAHL were searched for eligible qualitative and mixed methods studies up to March 2024. Methodological quality of the qualitative component of the included studies was assessed with the Mixed Methods Appraisal Tool. A framework synthesis of barriers and facilitators to implementation was conducted using the Consolidated Framework for Implementation Research (CFIR). All identified CFIR constructs were given a reliability rating (high, medium, or low) to assess the consistency of reporting across each construct. Results: Overall, 35 studies were included in the qualitative synthesis. Methodological quality was high in 34 studies and medium in 1 study. Barriers (–) of and facilitators (+) to implementation were identified in all 5 CFIR domains: “digital health characteristics” (ie, commercial neutral [+], privacy and safety [–], specificity [+], and good usability [+]), “outer setting” (ie, acceptance by stakeholders [+], lack of health care guidelines [–], and external financial incentives [–]), “inner setting” (ie, change of treatment routines [+ and –], information incongruence (–), and support from colleagues [+]), “characteristics of the healthcare professionals” (ie, health care professionals’ acceptance [+ and –] and job satisfaction [+ and –]), and the “implementation process” (involvement [+] and justification and delegation [–]). All identified constructs and subconstructs of the CFIR had a high reliability rating. Some identified determinants that influence implementation may be facilitators in certain cases, whereas in others, they may be barriers. Conclusions: Barriers and facilitators were identified across all 5 CFIR domains, suggesting that the implementation process can be complex and requires implementation strategies across all CFIR domains. Stakeholders, including digital health intervention developers, health care professionals, health care organizations, health policy makers, health care funders, and researchers, can consider the identified barriers and facilitators to design tailored implementation strategies after prioritization has been carried out in their local context
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Perceptions and values of care professionals are critical in successfully implementing technology in health care. The aim of this study was threefold: (1) to explore the main values of health care professionals, (2) to investigate the perceived influence of the technologies regarding these values, and (3) the accumulated views of care professionals with respect to the use of technology in the future. In total, 51 professionals were interviewed. Interpretative phenomenological analysis was applied. All care professionals highly valued being able to satisfy the needs of their care recipients. Mutual inter-collegial respect and appreciation of supervisors was also highly cherished. The opportunity to work in a careful manner was another important value. Conditions for the successful implementation of technology involved reliability of the technology at hand, training with team members in the practical use of new technology, and the availability of a help desk. Views regarding the future of health care were mainly related to financial cut backs and with a lower availability of staff. Interestingly, no spontaneous thoughts about the role of new technology were part of these views. It can be concluded that professionals need support in relating technological solutions to care recipients' needs. The role of health care organisations, including technological expertise, can be crucial here.
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Background and Objective: To develop a health care value framework for physical therapy primary health care organizations including a definition. Method: A scoping review was performed. First, relevant studies were identified in 4 databases (n = 74). Independent reviewers selected eligible studies. Numerical and thematic analyses were performed to draft a preliminary framework including a definition. Next, the feasibility of the framework and definition was explored by physical therapy primary health care organization experts. Results: Numerical and thematic data on health care quality and context-specific performance resulted in a health care value framework for physical therapy primary health care organizations—including a definition of health care value, namely “to continuously attain physical therapy primary health care organization-centered outcomes in coherence with patient- and stakeholder-centered outcomes, leveraged by an organization’s capacity for change.” Conclusion: Prior literature mainly discussed health care quality and context-specific performance for primary health care organizations separately. The current study met the need for a value-based framework, feasible for physical therapy primary health care organizations, which are for a large part micro or small. It also solves the omissions of incoherent literature and existing frameworks on continuous health care quality and context-specific performance. Future research is recommended on longitudinal exploration of the HV (health care value) framework.
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Due to the ageing population, the prevalence of musculoskeletal disorders will continue to rise, as well as healthcare expenditure. To overcome these increasing expenditures, integration of orthopaedic care should be stimulated. The Primary Care Plus (PC+) intervention aimed to achieve this by facilitating collaboration between primary care and the hospital, in which specialised medical care is shifted to a primary care setting. The present study aims to evaluate the referral decision following orthopaedic care in PC+ and in particular to evaluate the influence of diagnostic tests on this decision. Therefore, retrospective monitoring data of patients visiting PC+ for orthopaedic care was used. Data was divided into two periods; P1 and P2. During P2, specialists in PC+ were able to request additional diagnostic tests (such as ultrasounds and MRIs). A total of 2,438 patients visiting PC+ for orthopaedic care were included in the analysis. The primary outcome was the referral decision following PC+ (back to the general practitioner (GP) or referral to outpatient hospital care). Independent variables were consultation- and patient-related predictors. To describe variations in the referral decision, logistic regression modelling was used. Results show that during P2, significantly more patients were referred back to their GP. Moreover, the multivariable analysis show a significant effect of patient age on the referral decision (OR 0.86, 95% CI = 0.81– 0.91) and a significant interaction was found between the treating specialist and the period (p = 0.015) and between patient’s diagnosis and the period (p < 0.001). Despite the significant impact of the possibility of requesting additional diagnostic tests in PC+, it is important to discuss the extent to which the availability of diagnostic tests fits within the vision of PC+. In addition, selecting appropriate profiles for specialists and patients for PC+ are necessary to further optimise the effectiveness and cost of care.
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In order to accept and implement technology in a successful manner, not only determinants (acceptance barriers or facilitators) related to individual persons, for instance, health care providers as well as health care recipients, are important. Also interpersonal relationships on the work floor as well as the readiness and support of the organization itself are involved in the process of uptake of innovations. The Normalization Process Theory explains how this can be understood. The Technology Adoption Readiness Scale (TARS), developed based on this theory, offers a tool to diagnose the opportunities and challenges in health care organizations with respect to the implementation of certain technology- or eHealth applications. In order to guide the process of large scale implementation of technological innovations, also a pre implementation diagnosis is useful. This diagnosis, when provided by a “neutral party” has proved to be helpful for monitoring, guiding and thus supporting the implementation process of technological innovations in health care settings.
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Transitions in health care and the increasing pace at which technological innovations emerge, have led to new professional approach at the crossroads of health care and technology. In order to adequately deal with these transition processes and challenges before future professionals access the labour market, Fontys University of Applied Sciences is in a transition to combining education with interdisciplinary practice-based research. Fontys UAS is launching a new centre of expertise in Health Care and Technology, which is a new approach compared to existing educational structures. The new centre is presented as an example of how new initiatives in the field of education and research at the intersection of care and technology can be shaped.
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The main objective of this report is to analyse and inform about international labour mobility, particularly within Europe, from the perspective of the Dutch Health and Social Care Sector. The report starts by describing the introduction of a new care system in The Netherlands. The government does not participate directly in the actual provision of care. This is a task principally for private care suppliers. Furthermore, the legal position of the Health and Social Care professions, regulated through the Individual Health Care Professions Act, and questions like the international recognition of degrees and the evaluation of foreign diplomas are discussed. This is followed by a clarification of the Dutch education system, particularly, relating to the study of medicine, nursing education and social work education. Subsequently, some core data on the ageing Dutch population are presented. The grey pressure increases and this will have an impact on health spending, health support and the future labour market. Then what follows is a description of the development of employment in the Dutch Health and Social Care Sector, per branch as well as the professions that are engaged in it. The general picture, at this moment, is that the Health and Social Care labour market is reasonably in balance. This trend will continue in the near future; shortages are expected only in the long term. All research done on the subject indicates that international mobility of medical and social professionals is still low in the Netherlands. The question remains whether a more active recruitment policy would be a solution for the expected long term shortages. The report concludes with a look at recruitment policy and some of its developments at the global, national and local level.
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Background: The substitution of healthcare is a way to control rising healthcare costs. The Primary Care Plus (PC+) intervention of the Dutch ‘Blue Care’ pioneer site aims to achieve this feat by facilitating consultations with medical specialists in the primary care setting. One of the specialties involved is dermatology. This study explores referral decisions following dermatology care in PC+ and the influence of predictive patient and consultation characteristics on this decision. Methods: This retrospective study used clinical data of patients who received dermatology care in PC+ between January 2015 and March 2017. The referral decision following PC+, (i.e., referral back to the general practitioner (GP) or referral to outpatient hospital care) was the primary outcome. Stepwise logistic regression modelling was used to describe variations in the referral decisions following PC+, with patient age and gender, number of PC+ consultations, patient diagnosis and treatment specialist as the predicting factors. Results: A total of 2952 patients visited PC+ for dermatology care. Of those patients with a registered referral, 80.2% (N = 2254) were referred back to the GP, and 19.8% (N = 558) were referred to outpatient hospital care. In the multivariable model, only the treating specialist and patient’s diagnosis independently influenced the referral decisions following PC+. Conclusion: The aim of PC+ is to reduce the number of referrals to outpatient hospital care. According to the results, the treating specialist and patient diagnosis influence referral decisions. Therefore, the results of this study can be used to discuss and improve specialist and patient profiles for PC+ to further optimise the effectiveness of the initiative.
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Within European cross-border health care, recent studies have identified several types of international patients. Within the Anglo-Saxon setting, the specific terminology of medical tourism is used. The analytical purpose of the paper is to resolve this semantic difference by suggesting an alternative terminology, 'transnational health care' that is understood as a 'context-controlled and coordinated network of health services'. For demand-driven trans-border access seekers and cross-border access searchers, there is a need to opt for regional health-policy strategies. For supply-driven sending context actors and receiving context actors, there would be organizational benefits to these strategies.Applying the terminology of trans-border access seekers, cross-border access searchers, sending context and receiving context actors results in a transnational patient mobility typology of twelve types of international patients, based on the criteria of geographical distance, cultural distance and searching efforts, public/private/no cover and private/public provision of health services. Finally, the normative purpose of the paper is to encourage the use of this terminology to promote a policy route for transnational health regions. It is suggested that the development of transnational health regions, each with their own medical and supportive service characteristics, could enhance governmental context-controlled decision power in applying sustainable health destination management.
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Prostate cancer (PCA) has the highest prevalence for men in the western world. Besides general symptoms, these patients experience specific problems like erectyle dysfunction and urinary incontinence, which occur after treatment and may result in feelings of distress. PCA patients express a need for supportive care, although they are often not participating in the offered supportive care interventions. To study determinants of care seeking behavior, the influence of patient’s supportive care needs was assessed with the SCNS. With the ASE-model, we studied whether their attitude about supportive care, perceived social support and self-efficacy influence care seeking. Furthermore also the influence of external factors, e.g. distress, biographical and medical factors, previous experience with and evaluation of supportive care was studied. Methods A quantitative, cross-sectional study with a convenience sample of patients who completed a questionnaire was conducted. The SCNS measured care needs. Patient’s attitude towards care seeking, perceived social support and self-efficacy were assessed as well as several external factors. Results We included 87 patients, who returned a questionnaire by email or post. Pearson’s correlation coefficients showed significant associations between the future supportive care use and attitude, needs, and external factors depression, anxiety, previous experience with and evaluation of supportive care and age. Results of multiple regression analysis pointed out that psychological, physical needs and depression are the main determinants for future supportive care use. Conclusion The results show psychological, physical needs and depression are more important determinants of future supportive care use than ASE-factor attitude towards care seeking, anxiety, previous psychosocial care use, satisfaction with care and age. Results indicated that men look for expert information in more than one third of all cases. Urology/oncology nurses and health-care professionals could use this information for patient centered referrals and to further develop needs and preference based interventions.
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