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Introduction: Adequate communication between care and medical disciplines is an important prerequisite for safe patient care. Studies have shown that personal, social and organizational barriers might hinder communication in hospital care and long term care. Literature in primary care on these topics is scarce, but studies on implementation of collaborative services in primary healthcare indicate that communication is an important prerequisite for collaboration. This study aims to identify factors that facilitate or hinder patient related communication between General Practitioners (GPs) and Community Nurses (CNs), in order to find strategies to improve poor communication, if present. Six mono-disciplinary focus groups (13 GPs, 3 meetings; 18 CNs, 3 meetings) were organized, to create an atmosphere of equality and trust, knowing that hierarchical relationships could hinder open discussions. The interviews were tape-recorded and transcribed ad verbatim. Professionals were invited to discuss topics concerning individual attitudes and experiences, barriers and facilitators, prerequisites and current and future strategies for improvement. ATLAS.ti was used to code transcripts. Results: Despite the fact that GPs and CNs have regular contacts (mostly via telephone, less often in person), poor communication was frequently perceived. Trustful relations appeared to be the most important prerequisite for effective communication. Organizational factors (e.g. lack of shared care plans, no contact in person and lack of time) and professional specific factors (e.g. discipline specific language, perspective, education level and position) influenced development of trustful relationships. Significant suggestions for improvement of communication by both GPs and CNs were made, for example the importance of communication skills training and use of practical communication tools that structure information. Discussions: The results of this study are in line with earlier studies in hospital and long term care settings with regard to miscommunication between doctors and nurses. However, in this primary care study, causes seem to be more divers and disruptive. Medical and nursing professionals are not part of one team, but work from different organizations, with different interests, visions, procedures and methods of working. Conclusions: Different professional and organizational factors might hinder effective patient related communication between GPs and CNs. Inter-professional training programmes should address these factors and should be evaluated for their effect on quality of care. [ABSTRACT FROM AUTHOR]

Introduction: Care integration in primary elderly care is suboptimal. Validated instruments are needed to enable the implementation of integrated primary care. We aimed to assess construct validity of the Rainbow Model of Integrated Care measurement tool (RMIC-MT) for healthcare professionals working in an integrated primary elderly care setting in the Netherlands. Methods: In a cross-sectional study, the RMIC-MT, a 36-item questionnaire covering all domains of the Rainbow Model of Integrated Care (RMIC), was sent out to local networks of primary elderly care professionals. Confirmatory factor analysis with maximum likelihood estimation was used for the validation of the factor structure the RMIC-MT. Model fit was assessed by the chi-square test and fit indices. Results: The RMIC-MT was completed by 323 professionals, primarily general practitioners, community nurses, practice nurses, and case managers. Confirmatory factor analysis and corresponding fit indices showed moderate to good fit, thereby confirming a nine factor model with a total of 36 items. Conclusions: The RMIC-MT is promising for the primary elderly care setting in the Netherlands. It can be used for evaluating integrated care initiatives in a primary care setting, thereby contributing to implementation of integrated primary elderly care. [ABSTRACT FROM AUTHOR]

Introduction: Rearrangements are needed in primary care because of aging populations, the increased prevalence of dementia and increasing costs of health care. With DementiaNet, we aim to enhance primary care via integrated network-based care. We focus on structural collaboration from healthcare professionals from medical, care and social domains, and increased dementia expertise. Here, we describe our evaluation study on the DementiaNet innovation to provide insight in the merits and drawbacks of the DementiaNet innovation. Methods: The evaluation study is a longitudinal, mixed methods, multiple case study. The study population consists of two levels: (i) local DementiaNet networks of primary care professionals, and (ii) dyads of dementia patients and their informal caregivers who receive care from DementiaNet networks. At the start of participation and after 12 and 24 months, quantitative data is collected in each network on the maturity of the network, quality of care indicators, and outcomes reported by informal caregivers. Additionally, qualitative data is collected via in-depth interviews with professionals in the networks and dyads of patients and informal caregivers which provide insight in experiences and opinions regarding effects of the DementiaNet approach and the mechanism through which changes in quantitative outcomes are effectuated. Results: This study is currently ongoing with 17 networks included. Preliminary results of the first five networks show stable or improved quality of care and mostly positive experience with the DementiaNet approach. Analysis of quantitative data at 12 months (n=12) and at 24 months (n=5) will show time trends of these networks regarding their quality of care scores and association with informal caregiver-reported outcomes. Additionally, qualitative results from the interviews will be available. Discussion: This study will show whether the DementiaNet innovation leads to improved quality of dementia care and if this is associated with informal caregiver-reported outcomes, through an innovative study design that is designed to capture the complexity. Furthermore, it will provide insight in how this approach is perceived by primary care professionals. This evaluation study adds to the evidence-base of integrated health care, taken from a complex systems perspective. Conclusion: To conclude, this evaluation study will provide insight in the merits and drawbacks, facilitators and barriers, and improvement opportunities of the DementiaNet approach for integrated dementia care. [ABSTRACT FROM AUTHOR]

Introduction: Implementing integrated care in primary care settings is essential to establish a sustainable health care system for older adults living at home. Measuring integrated care performance facilitates implementation and improvement of integrated care services in daily practice, yet valid instruments are still lacking. Based on the Rainbow Model of Integrated Care (RMIC) a measurement tool (MT) has been validated for renal care patients and care providers. In the present study we aimed to validate the RMIC-MT for healthcare professionals working in an integrated primary elderly care setting. Theory/Methods: The RMIC-MT is a 36-item questionnaire, covering all aspects of integrated care according to the RMIC. Per integration domain professionals are asked to rate a set of questions. In a cross-sectional study, the RMIC-MT was sent to local networks of primary elderly care professionals in the Netherlands by email between February 2020 and February 2021. Confirmatory factor analysis (CFA) was used to build upon the previous results of the RMIC-MT for renal care by using the standard fit indices: root-mean-square error of approximation (RMSEA) (=0.06), standardized root-mean-square residual (SRMR) (=0.08), comparative fit index (CFI) (=0.90) and Tucker-Lewis index (TLI) (=0.90). Maximum likelihood was used to estimate the model parameters and goodness-of-fit indices. Results: 323 professionals filled out the RMIC-MT, the majority were general practitioners, community nurses, practice nurses and case managers. Median time needed to complete the RMIC-MT was 14 minutes. Some professionals did not complete the questionnaire because the questionnaire was too long or perceived as irrelevant. The model passed the goodness-to-fit test by confirmatory factor analysis: RMSEA=0.046, SRMR=0.055, CFI=0.895, TLI=0.882. The factor structure of 9 categories with a total of 36 items was thereby confirmed. Conclusions: We successfully validated the RMIC-MT for the primary elderly care setting. We adjusted the name of one category from 'triple aim' to 'outcome measurements'. Application of the RMIC-MT enables professional networks in this setting to evaluate and improve their care integration and contribute to better quality and more sustainable primary elderly care. Implications for applicability/transferability, sustainability, and limitations: The sample size was small but sufficient for the CFA. Recruitment was difficult which may reflect difficulties in future use in daily practice. The RMIC-MT was considered too long by some professionals. Developing a shorter version may be a promising strategy to increase completion in daily practice. RMIC-MT application can enable professionals to improve people-centered integrated primary care by using the feedback reports for improvement plans. Feasibility and added value of the tool should be studied after this small-scale implementation. Broader implementation of the RMIC-MT for elderly care should be investigated, including other contexts and countries. [ABSTRACT FROM AUTHOR]

Introduction: Rearrangements in primary care are needed to cope with aging populations, resulting in an increased prevalence of dementia and increasing health care costs. An essential strategy to establish a sustainable health care system for people with dementia is implementing integrated care in primary care settings. With DementiaNet, an integrated network-based approach, we facilitated collaboration between healthcare professionals from medical, care and social domains, and helped increasing their dementia expertise. Our aim is to evaluate the effects of the DementiaNet approach on quality of care, network collaboration and number of crisis admissions. Theory/Methods: In a longitudinal mixed methods multiple case study, 34 primary care networks participated; they adopted the DementiaNet approach in which a two-year tailor-made program was offered. Networks started between 2015 and 2020 and follow-up ended in 2021. Yearly, networks participated in data collection on their self-reported quality of care and crisis situations. Network collaboration was assessed yearly with scores on the eight integration domains of the Rainbow Model of Integrated Care based on semi-structured interviews with network leader(s). Descriptive statistics were used to identify changes in mean scores over time. Network characteristics and interview data was used to gain deeper understanding of the quantitative outcomes. Linear mixed models will be used to analyze the differences over time for quality of care and network collaboration. Results: Networks consisted on average of nine professionals (mainly a general practitioner, community nurse, practice nurse and case manager). Follow-up was 2-6 years. On average, quality of care of the networks increased for all measured indicators, of which the percentage of people discussed in a multidisciplinary meeting increased the most from 55% (range 0-100%) to 80% (range 48-100%). Advanced networks had less crisis situations compared to starting networks, 25% versus 30% (p=0.038) of their caseload of persons with dementia had a crisis situation. The quality of care was not associated with the number of crisis situations. Network collaboration increased as well over time and these results sustained or further improved after the two-year program ended. Conclusions: The DementiaNet approach improved quality of care and network collaboration and decreased the number of crisis situations of local primary dementia care networks. These effects sustained after the two-year program ended. Because of the improved collaboration, more advanced networks may be able to better communicate and act sooner in case of an oncoming crisis. Implications for applicability/transferability, sustainability, and limitations: Evaluation of a complex program such as DementiaNet requires an innovative design, flexibility and time. Previous studies did not find improvements after implementing integrated care, we showed that these improvements take at least two years to establish. Nevertheless, these effects were successfully sustained by the networks after the two years of support. Data is partly self-reported by network members. Despite the detailed data-collection protocols and definitions that were provided, the quality of the data may have suffered because of this strategy. Future research should focus on identifying if the DementiaNet approach is able to decrease healthcare costs. [ABSTRACT FROM AUTHOR]

Introduction: The rising incidence and policies to keep dementia patients in their own homes are increasingly putting pressure on primary care systems and budgets. The DementiaNet program stimulates development of primary care networks of medical, nursing and welfare professionals for community-dwelling dementia patients through practice facilitation. This study aimed to provide insight into the merits and drawbacks of this program, mechanisms and which contextual factors influenced them. Methods: In this longitudinal mixed methods multiple case study, primary care professionals with shared caseloads of dementia patients, were enrolled to form networks in the DementiaNet program. Data collection consisted of continuously kept logs, yearly structured interviews to rate the network maturity score (range 0-24), yearly quality of care assessment through a sum score of quality indicators (range 0-100), and in-depth interviews regarding experiences and perceived effects. Quantitative data were analyzed through mixed models; qualitative data with thematic analysis. Results were integrated by combined interpretation. Results: Thirteen networks were successfully initiated in the program, consisting of a median of 9 professionals. Overall, the networks showed an average yearly increase of 2.03 (95% CI 1.20-2.96) on network maturity and 8.45 (95% CI 2.80-14.69) on quality indicator sum scores. Mixed methods interpretation revealed patterns regarding network and contextual factors enabling the transition towards more mature networks and better quality of care. Discussion: Time trends in network maturity and quality of care indicators showed overall improvements. Several enabling factors for the transition to network-based care were identified including strong and adequate leadership (preferably with leaders from primary care practice), high involvement of motivated primary care physicians, high acquaintanceship with other network members, and network seize with a compact network that operates in a relatively small geographical area. Conclusions: Participation in the DementiaNet program was associated with increased network maturity and subsequent beneficial effects on quality of care. Adaptation towards a more mature network seemed to favour quality of care improvements. Lesson learned: The multiple case study design demonstrated its value in the evaluation of DementiaNet as example of a complex health care innovation by incorporating interactions and contextual dependency. Limitations: The main limitation of the study was the limited follow-up. The DementiaNet approach demands considerable changes in behaviour and practice from large numbers of actors; such adaptations require time and will be different per network. Indeed, networks work different in speed of change and improvement goals. Nonetheless, these initial results show improvements even over one and two year timeframes. Suggestions for future research: A succeeding study will be initiated to ensure longer followup of existing networks, while simultaneously expanding the number of networks. [ABSTRACT FROM AUTHOR]

Introduction Crisis admissions of persons with dementia are more prevalent due to the rising number of people with dementia living longer at home. Better collaboration between primary care professionals could prevent crisis situations. Therefore, the DementiaNet program focuses on a transition towards integrated care by supporting interdisciplinary networks of primary care professionals from the medical, care and social services to improve their collaboration. This study aims to determine the effect of the DementiaNet program on the number of crisis admissions. Theory/Methods DementiaNet networks started from 2015 onwards. This 2-year program is based on the Rainbow Model of Integrated Care and consists of coaching and support to help the networks go from ad hoc collaboration to a structured collaboration. Collaboration, network leadership, interdisciplinary education and quality improvement cycles are key elements to help networks improve their quality of care for the persons with dementia and their caregivers. Yearly, networks collect patient data on five quality of care indicators, and on admission to a hospital or nursing home due to a crisis. The data collection took place between 2015 and 2020. We compared the number of crisis admissions of advanced networks (>2 years active) with the number of crisis admissions of starting networks (<2 years active) by using an independent T-test. Logistic regression was used to determine the relation between quality of care and the number of crisis admissions. Result 34 networks with on average 9 professions (frequently: general practitioner, practice nurse, community nurse and case manager) were included. The networks collected data of 1689 patient years of which 479 patient years had a crisis. Preliminary results show that advanced networks had less crisis admissions than starting networks, 0.25 versus 0.30 respectively (p=0.038, CI=0.003 - 0.091). The quality of care was not associated with the number of crisis situations. Discussions In advanced networks, less crisis admissions took place; Surprisingly, this effect was not mediated by quality of care. A possible explanation is that better collaboration leads to less crisis admissions due to earlier intervention by professionals. Conclusions The Dementia program was able to facilitate a transition towards better interdisciplinary collaboration within networks of primary dementia care professionals. In advanced networks less crisis admissions occurred than in starting networks. The quality of care was not associated with the number of crisis admissions. Lessons learned A complex intervention, such as DementiaNet, is able to realize a transition towards network-based care and enhance interdisciplinary collaboration to reduce the number of crisis admissions. Limitations The dataset consists of patient years rather than patients, data was collected yearly and we were not able to adjust for the same persons present in the dataset several years in a row. Ideally, we would like to include patient trajectories in further research. Suggestions for future research Further research in a larger database could contribute to unravelling the complex relations between network maturity, quality of care and crisis admissions in primary dementia care. [ABSTRACT FROM AUTHOR]

Introduction Crisis admissions of persons with dementia are more prevalent due to the rising number of people with dementia living longer at home. Moreover, societal dependency on informal care grows, which negatively impacts caregivers' wellbeing. This is often a direct reason for crisis admission of the person with dementia. Therefore, we developed REMIND, a digital tool for frequent monitoring of wellbeing and resilience of caregivers, which enables case managers to provide timely support, thereby preventing deterioration in caregiver wellbeing and eventually crisis admissions. The aim of this pilot study is to explore the usability and acceptability of REMIND. Theory/Methods During a 3-month period case manager-caregiver duo's used REMIND. The monitor was developed in co-creation with end-users during focus groups. The pilot version of REMIND consisted of a weekly set of questions on social support, reciprocity, burden, wellbeing, own activities and small crises, filled in via a chat on a smartphone or computer. Caregiver wellbeing was displayed in graphs on a dashboard for case managers to act upon. Usability and acceptability of the tool were explored in semi-structured interviews with the caregivers and case managers. Two independent researchers applied content analysis on the transcripts. Results Eight case managers and fourteen caregivers participating considered the tool easy to use. Caregivers appreciated REMIND, because it stimulated self-reflection regarding the burden of their caregiving processes. Case managers valued the tool's ability to gain better insight in the actual wellbeing of caregivers, because some caregivers find it hard to acknowledge themselves being burdened during a face-to-face conversation. The fact that REMIND provided insight in wellbeing patterns over time instead of a single assessment during a monthly home visit, was highly appreciated by case managers. The monitor outcomes were therefore considered a suitable starting point for conversations with caregivers. Suggestions for improvements included, more diverse set of questions and additional functions including peers support. Discussions In this pilot, REMIND was found highly usable and acceptable for both caregivers and casemanagers. The use a co-design approach in the development likely contributed to these findings. Conclusions Pilot evaluation of digital monitor for caregivers and case managers showed that the tool was easy to use and stimulated self-reflection in caregivers. For case managers it provided a starting point for conversations. The tool is able to monitor wellbeing of caregivers and thereby has the potential to prevent crisis. Lessons learned Developing a monitoring tool for caregivers of persons with dementia in a co-creation design process with end-users led to a well-accepted and easy-to-use device. Limitations Casemanagers in this pilot study were early adopters. Further research should include a more diverse group of case managers. Suggestions for future research A future randomized controlled study with longer follow-up may determine whether its use prevents (small) crises. [ABSTRACT FROM AUTHOR]