Self-Assessment Instruments for Supporting Family Caregivers: An Integrative Review.

Family caregivers take on a variety of tasks when caring for relatives in need of care. Depending on the situation and the intensity of care, they may experience multidimensional burdens, such as physical, psychological, social, or financial stress. The aim of the present study was to identify and appraise self-assessment instruments (SAIs) that capture the dimensions of family caregivers' burdens and that support family caregivers in easily identifying their caregiving role, activities, burden, and needs. We performed an integrative review with a broad-based strategy. A literature search was conducted on PubMed, Google Scholar, Google, and mobile app stores in March 2020. After screening the records based on the eligibility criteria, we appraised the tools we found for their usefulness for family care and nursing practice. From a total of 2654 hits, 45 suitable SAIs from 274 records were identified and analyzed in this way. Finally, nine SAIs were identified and analyzed in detail based on further criteria such as their psychometric properties, advantages, and disadvantages. They are presented in multi-page vignettes with additional information for healthcare professionals. These SAIs have proven useful in assessing the dimensions of caregiver burden and can be recommended for application in family care and nursing practice.

Integrated care models in Swiss primary care: An embedded multiple case study.

RATIONALE, AIMSAND OBJECTIVES: Healthcare systems are confronted with a rising number of patients with chronic conditions and complex care needs, requiring the development of new models of coordinated, patient-centred care. In this study, we aimed to describe and compare a range of new models of care recently implemented in primary care in Switzerland, as well as to gain insight into the type of coordination or integration implemented, the strengths and weaknesses of each model and the challenges they face. METHOD: We used an embedded multiple case study design to describe in-depth a series of current Swiss initiatives that specifically aim to improve care coordination in primary care. For each model, documents were collected, a questionnaire was administered and semistructured interviews with key actors were conducted. A within-case analysis followed by a cross-case analysis were performed. Based on the Rainbow Model of Integrated Care framework, similarities and differences between the models were highlighted. RESULTS: Eight integrated care initiatives were included in the analysis, representing three types of models: independent multiprofessional GP practices, multiprofessional GP practices/health centres that are part of larger groups and regional integrated delivery systems. Recognized effective activities and tools to improve care coordination, such as multidisciplinary teams, case manager involvement, use of electronic medical records, patient education and use of care plans, were implemented by at least six of the eight initiatives studied. The main obstacles to the implementation of integrated care models were the inadequate Swiss reimbursement policies and payment mechanisms and the desire of some healthcare professionals to protect their territory in a context where new roles are emerging. CONCLUSION: The integrated care models implemented in Switzerland are promising; nevertheless, financial and legal reforms must be introduced to promote integrated care in practice.

Development of a tool for palliative care needs assessment and intervention: mixed methods research at a Swiss tertiary oncology clinic.

BACKGROUND: Palliative care interventions improve quality-of-life for advanced cancer patients and their caregivers. The frequency and quality of service provision could be improved by a clinical tool that helps oncology professionals to assess unmet needs for palliative care interventions and to structure the interventions delivered. This paper aims to answer the following research question: what do oncology professionals and cancer patients view as important elements in a clinical tool for assessing unmet palliative care needs? Based on the feedback from professionals and patients, we developed and refined an intervention-focused clinical tool for use in cancer care. METHODS: This study used a prospective convergent mixed methods design and was carried out at a single tertiary hospital in Switzerland. Healthcare professionals participated in focus groups (n=29) and a Delphi survey (n=73). Patients receiving palliative care were interviewed (n=17). Purposive sampling was used to achieve maximal variation in participant response. Inductive content analysis and descriptive statistics were used to analyze focus group discussions, open-ended survey questions and interview data. Descriptive statistics were used for analyzing quantitative survey items and interviewee characteristics. RESULTS: Focus groups and Delphi surveys showed that seven key palliative care interventions were important to oncology professionals. They also valued a tool that could be used by doctors, nurses, or other professionals. Participants did not agree about the best timepoint for assessment. Two versions of a pilot clinical tool were tested in patient interviews. Interviews highlighted the divergent patient needs that must be accommodated in clinical practice. Patients provided confirmation that a clinical tool would be helpful to them. CONCLUSIONS: This paper reports on research carried out to understand what elements are most important in a tool that helps oncology professionals to identify patients' unmet needs and provide tailored palliative care interventions. This study demonstrated that professionals and patients alike are interested in a clinical tool. Responses from oncology healthcare professionals helped to identify relevant palliative care interventions, and patients provided constructive input used in designing a tool for use in clinical interactions.

Tools for guiding interventions to address patient-perceived multidimensional unmet healthcare needs in palliative care: systematic literature review.

CONTEXT: The unmet needs of patients with advanced disease are indicative of the patient centredness of healthcare. By tracking unmet needs in clinical practice, palliative interventions are aligned with patient priorities, and clinicians receive support in intervention delivery decisions for patients with overlapping, complex needs. OBJECTIVE: Identify tools used in everyday clinical practice for the purpose of identifying and addressing unmet healthcare needs for patients with advanced disease. METHODS: We conducted PubMed and Cumulative Index of Nursing and Allied Health Literature searches to include studies published between 1 January 2008 and 21 April 2020. Three concepts were used in constructing a search statement: (1) patient need, (2) validated instrument and (3) clinical practice. 2313 citations were reviewed according to predefined eligibility, exclusion and inclusion criteria. Data were collected from 17 tools in order to understand how instruments assess unmet need, who is involved in tool completion, the psychometric validation conducted, the tool's relationship to delivering defined palliative interventions, and the number of palliative care domains covered. RESULTS: The majority of the 17 tools assessed unmet healthcare needs and had been validated. However, most did not link directly to clinical intervention, nor did they facilitate interaction between clinicians and patients to ensure a patient-reported view of unmet needs. Half of the tools reviewed covered ≤3 dimensions of palliative care. Of the 17 tools evaluated, 4 were compared in depth, but all were determined to be insufficient for the specific clinical applications sought in this research. CONCLUSION: A new, validated tool is needed to track unmet healthcare needs and guide interventions for patients with advanced disease.

International palliative care experts' view on phenomena indicating the last hours and days of life.

BACKGROUND: Providing the highest quality care for dying patients should be a core clinical proficiency and an integral part of comprehensive management, as fundamental as diagnosis and treatment. The aim of this study was to provide expert consensus on phenomena for identification and prediction of the last hours or days of a patient's life. This study is part of the OPCARE9 project, funded by the European Commission's Seventh Framework Programme. METHOD: The phenomena associated with approaching death were generated using Delphi technique. The Delphi process was set up in three cycles to collate a set of useful and relevant phenomena that identify and predict the last hours and days of life. Each cycle included: (1) development of the questionnaire, (2) distribution of the Delphi questionnaire and (3) review and synthesis of findings. RESULTS: The first Delphi cycle of 252 participants (health care professionals, volunteers, public) generated 194 different phenomena, perceptions and observations. In the second cycle, these phenomena were checked for their specific ability to diagnose the last hours/days of life. Fifty-eight phenomena achieved more than 80% expert consensus and were grouped into nine categories. In the third cycle, these 58 phenomena were ranked by a group of palliative care experts (78 professionals, including physicians, nurses, psycho-social-spiritual support; response rate 72%, see Table 1) in terms of clinical relevance to the prediction that a person will die within the next few hours/days. Twenty-one phenomena were determined to have "high relevance" by more than 50% of the experts. Based on these findings, the changes in the following categories (each consisting of up to three phenomena) were considered highly relevant to clinicians in identifying and predicting a patient's last hours/days of life: "breathing", "general deterioration", "consciousness/cognition", "skin", "intake of fluid, food, others", "emotional state" and "non-observations/expressed opinions/other". CONCLUSION: Experts from different professional backgrounds identified a set of categories describing a structure within which clinical phenomena can be clinically assessed, in order to more accurately predict whether someone will die within the next days or hours. However, these phenomena need further specification for clinical use.