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A computerized Intervention-Management-System (IMS) has been developed and implemented to facilitate dementia care management. IMS is a rule-based expert decision support system that matches individual patient characteristics to a computerized knowledge base. One of the most important functionalities of IMS is to support the compilation of the individual intervention plan by systematically identifying unmet needs and suggesting the corresponding specific interventions for recommendation to the general practitioner (GP). The present analysis aimed to determine if the implementation of IMS improves the identification of unmet needs and the recommendation of adequate specific interventions. In addition, the feasibility and acceptability of the IMS were evaluated.
Methods:
Delphi-MV is an on-going GP-based, cluster-randomized, controlled intervention trial to implement and evaluate a collaborative dementia care management program for community-dwelling PWDs and their caregivers. IMS was developed and implemented over the course of the DelpHi-trial. The identified unmet needs and the interventions that were recommended to the GP before and after the implementation of IMS were compared. To evaluate the feasibility and acceptability of the IMS, a survey was conducted among the current users of IMS.
Results and Conclusions:
After the implementation of IMS, the number of specific interventions recommended to the GP increased by 85%. Our findings provide evidence that IMS improves the systematic identification of unmet needs and the subsequent recommendation of interventions to address these needs. The users evaluated IMS as very helpful and would like to use it for their future work. However, the usability could be further improved.
Increasing prevalence of dementia is a major challenge for the German healthcare system. The study DelpHi-MV (“Dementia: life- and person-centered help in Mecklenburg-Western Pomerania”) aims to implement and evaluate an innovative subsidiary support system for persons with dementia (PwDs) living at home and their caregivers.
Methods:
DelpHi-MV is a GP-based cluster randomized controlled intervention trial. DelpHi-Intervention aims to provide “optimum care” by integrating multi-professional and multimodal strategies to individualize and optimize treatment of dementia within the framework of the established healthcare and social service system. The intervention is conducted by Dementia Care Managers (DCMs) – nurses with dementia-specific training – at the people's homes. Based on German guidelines for evidence-based diagnoses and treatment of dementia, a comprehensive set of 95 intervention modules – the “DelpHi-Standard” – was defined. Each module consists of predefined trigger condition(s), a subsequent intervention task, as well as at least one criterion for its completion. The intervention begins with a comprehensive assessment of the care situation, needs, and resources. The DCM develops and implements an intervention plan tailored to the individual conditions in close cooperation with the GP.
Expected Results and Conclusions:
We expect statistically significant differences between control and intervention group in primary outcomes (quality of life, behavioral and psychological symptoms of dementia, pharmacotherapy, caregiver burden). Results can provide evidence for the effectiveness and efficacy of dementia care management according to the “Delphi-Standard” – prerequisites for implementing this concept into routine healthcare.
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