ABSTRACT
RATIONALE: Healthcare systems remain disease oriented despite growing sustainability concerns caused by inadequate management of patients with multimorbidity. Comprehensive care programmes (CCPs) can play an important role in streamlining care delivery, but large differences in setup and results hinder firm conclusions on their effectiveness. Many elements for successful implementation of CCPs are identified, but strategies to overcome barriers and embed programmes within health systems remain unknown. AIMS AND OBJECTIVES: To address this knowledge gap through a detailed study of implementing a CCP in a Dutch hospital setting, including patient experiences, facilitators, barriers and ways to overcome those barriers. Additionally, this study aims to explore effects on patient satisfaction and healthcare use. METHODS: A qualitative study design with 39 semistructured interviews and focus groups between July 2020 and February 2023 with 16 patients and 17 involved professionals. Additionally, effects on quantitative outcomes for patient satisfaction (PACIC-20) and healthcare use were explored. RESULTS: Professionals expressed a wide range of topics related to implementation and ways to overcome barriers at hospital and system level. Alterations in the design to accommodate varying care demands, focus on inclusions through referrals, and lack of long-term support and appropriate financing were key topics. Patients expressed varying experiences, stated a strong desire for comprehensive information, and emphasised the importance of trust in caregivers. Patient satisfaction showed no effects, while healthcare use showed slight decreases in trends, but patient numbers were limited. CONCLUSION: The introduction of a CCP is feasible, and exploratory analysis on effectiveness shows lower hospital care use without decreasing patient satisfaction. However, this is accompanied by several challenges that show current fragmented systems still do not support implementation of integrated care initiatives. Overcoming those comes with substantial costs and may require a strong bottom-up implementation within a motivated team and actions on all levels of healthcare systems.
Subject(s)
Multimorbidity , Patient Satisfaction , Qualitative Research , Humans , Netherlands , Male , Female , Middle Aged , Aged , Comprehensive Health Care/organization & administration , Chronic Disease/therapy , Focus Groups , Adult , Interviews as TopicABSTRACT
Despite extensive research efforts to mechanistically understand late-onset Alzheimer's disease (LOAD) and other complex mental health disorders, curative treatments remain elusive. We emphasize the multiscale multicausality inherent to LOAD, highlighting the interplay between interconnected pathophysiological processes and risk factors. Systems thinking methods, such as causal loop diagrams and systems dynamic models, offer powerful means to capture and study this complexity. Recent studies developed and validated a causal loop diagram and system dynamics model using multiple longitudinal data sets, enabling the simulation of personalized interventions on various modifiable risk factors in LOAD. The results indicate that targeting factors like sleep disturbance and depressive symptoms could be promising and yield synergistic benefits. Furthermore, personalized interventions showed significant potential, with top-ranked intervention strategies differing significantly across individuals. We argue that systems thinking approaches can open new prospects for multifactorial precision medicine. In future research, systems thinking may also guide structured, model-driven data collection on the multiple interactions in LOAD's complex multicausality, facilitating theory development and possibly resulting in effective prevention and treatment options.
Subject(s)
Alzheimer Disease , Humans , Alzheimer Disease/complications , Alzheimer Disease/therapy , Risk Factors , Systems AnalysisABSTRACT
No abstract available.