Introduction: Currently, care integration for community-dwelling persons with dementia is poor and knowledge on how to effectively facilitate development of integrated dementia care is lacking. The DementiaNet program aims to overcome this with a focus on interprofessional collaboration. The objective of this study is to investigate how care integration in interprofessional primary dementia care networks matures and to identify factors associated with (un)successfully maturation. Theory and methods: A longitudinal mixed-methods study, including 17 primary care networks participating in the DementiaNet study, was performed. Semi-structured interviews based on the Rainbow Model of Integrated Care were conducted at start, at 12- and 24 months. Network maturity scores (range 1–4) were derived from the interviews and qualitative data was used to explain the observed patterns. Results: Networks consisted on average of 9 professionals (range 4–22) covering medical, care and social disciplines. Network maturity yearly increased with 0.29 (95%-CI: 0.20–0.38). Important factors for improvement included getting to know each other’s expertise, having a capable network leader(s), stable network composition and participation of a general practitioner. Conclusions: The DementiaNet approach enables a transition towards more mature networks. Identified success factors provide better understanding of how network maturity can be achieved and gives guidance to future care integration strategies.
Background: Metastatic breast cancer patients are now living longer but cope with potential symptoms of metastatic disease and prolonged cancer treatment. Nutrition can play a vital role in managing these sequelae, and eHealth tools are emerging as promising delivery options for nutrition interventions. Objective: To qualitatively assess nutritional problems and concerns of women with metastatic breast cancer and to explore how to address these problems within an existing eHealth platform. Methods: Semistructured interviews were conducted with 21 women with metastatic breast cancer participating in an ongoing eHealth study. Interviews were audiotaped, transcribed verbatim, and analyzed using a team-based content analysis approach. Results: Most respondents reported currently or previously experiencing nutritional problems due to adverse effects of cancer treatment or the disease itself; these were rarely addressed during routine clinical care. Five major themes emerged: (1) knowledge about nutrition, (2) nutrition information-seeking, (3) social aspects of nutrition, (4) nutrition interest, and (5) how to address nutrition with an eHealth platform. The respondents reported diverse experiences and perspectives regarding nutrition and diet in the context of metastatic breast cancer within each theme. Conclusion: Findings indicate the importance of providing women with metastatic breast cancer with information about nutrition that is tailored to their specific disease, as these patients report both nutritional problems and uncertainty regarding nutritional strategies. Implications for Practice: These findings are a first step toward designing supportive care interventions that could fill the gap related to nutritional concerns not addressed during routine clinical care.
BackgroundImplementation of integrated primary care is considered an important strategy to overcome fragmentation and improve quality of dementia care. However, current quality indicator (QI) sets, to assess and improve quality of care, do not address the interprofessional context. The aim of this research was to construct a feasible and content-wise valid minimum dataset (MDS) to measure the quality of integrated primary dementia care.MethodsA modified Delphi method in four rounds was performed. Stakeholders (n=15) (1) developed a preliminary QI set and (2) assessed relevance and feasibility of QIs via a survey (n=84); thereafter, (3) results were discussed for content validity during a stakeholder and (4) expert consensus meeting (n=8 and n=7, respectively). The stakeholders were professionals, informal caregivers, and care organisation managers or policy officers; the experts were professionals and researchers. The final set was pilot-tested for feasibility by multidisciplinary dementia care networks.ResultsThe preliminary set consisted of 40 QIs. In the survey, mean scores for relevance ranged from 5.8 (SD=2.7) to 8.5 (SD=0.7) on a 9-point Likert scale, and 25% of all QIs were considered feasible to collect. Consensus panels reduced the set to 15 QIs to be used for pilot testing: 5 quality of care, 3 well-being, 4 network-based care, and 3 cost-efficiency QIs. During pilot testing, all QIs were fully completed, except for well-being QIs.ConclusionA valid and feasible MDS of QIs for primary dementia care was developed, containing innovative QIs on well-being, network-based care and cost-efficiency, in addition to quality of care QIs. Application of the MDS may contribute to development and implementation of integrated care service delivery for primary dementia care.
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 of 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.
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