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Background: Advance care planning (ACP) is becoming increasingly important in medical care. Some suggest standardized approaches to initiate ACP with all older adults. However, the idea of patient-centered care suggests more nuanced approaches tailored to individual older adults' needs. This study investigated how older adults with different views and needs about ACP can be approached in an adequate and most beneficial way by health care professionals. Methods: We used questionnaires, interviews, focus groups and informal conversations with older adults, living in their own homes, who volunteered to take part in our research. The research was participatory as we collaborated closely with practice partners and we used the obtained findings immediately and continuously to inform the next steps of our research throughout the process. Results: We identified three subgroups of older adults with differential needs regarding ACP-related activities: The first group avoids talking about their needs and wishes for care towards the end of life. These older people benefit from activities, which aim at motivating them to concern themselves with ACP-related topics. The second group consists of older adults who are in principle open for ACP-conversations but do not initiate these themselves. This group either trusts their next-of-kin or their healthcare professional to act in accordance with their wishes or does not bring up the topic in order to avoid confronting relevant others with possibly unpleasant topics. This group of people benefits from information about ACP and from healthcare professionals initiating the ACP process. The third group of older people initiates the ACP process themselves, gathers information, and takes the necessary steps for ACP. With this group it remains relevant to check carefully whether they have indeed taken all relevant steps and shared the information with all relevant involved care institutions and relatives. Conclusions: We propose a model to simplify adjustments of ACP to individuals' needs. Our suggested approach might contribute to increasing the motivation of older people to engage in ACP conversations if these are more closely related to their own needs. Further, it might also contribute to simplifying the individual shaping of the ACP process for healthcare professionals as our suggested model offers clear guidance for approaching different types of older people in different ways. The suggested approach may in future be used for training health care professionals in the conduct of ACP conversations. [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: 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]