Background
Timely referral of patients with CKD has been associated with cost and mortality benefits, but referrals are often done too late in the course of the disease. Clinical decision support (CDS) offers a potential solution, but interventions have failed because they were not designed to support the physician workflow. We sought to identify user requirements for a chronic kidney disease (CKD) CDS system to promote timely referral.
Methods
We interviewed primary care physicians (PCPs) to identify data needs for a CKD CDS system that would encourage timely referral, and also gathered information about workflow to assess risk factors for progression of CKD. Interviewees were general internists recruited from a network of 14 primary care clinics affiliated with Brigham and Women’s Hospital (BWH). We then performed a qualitative analysis to identify user requirements and system attributes for a CKD CDS system.
Results
Of the twelve participants, 25% were women, the mean age was 53 (range 37–82), mean years in clinical practice was 27 (range 11–58). We identified 21 user requirements. Seven of these user requirements were related to support for the referral process workflow, including access to pertinent information and support for longitudinal co-management. Six user requirements were relevant to PCP management of CKD, including management of risk factors for progression, interpretation of biomarkers of CKD severity, and diagnosis of the cause of CKD. Finally, eight user requirements addressed user-centered design of CDS, including the need for actionable information, links to guidelines and reference materials, and visualization of trends.
Conclusion
These 21 user requirements can be used to design an intuitive and usable CDS system with the attributes necessary to promote timely referral.
Background
Nurse care managers (NCM) operate through care management programs to provide care for persons living with dementia (PLWD) and interact regularly with their family caregivers; however, most do not receive formal instruction in dementia care or caregiver support. CRESCENT (CaReEcoSystem primary Care Embedded demeNtia Treatment) is a telephone-based dementia care intervention adapted from the Care EcoSystem model designed to equip NCMs with these tools. For this study, we aimed to measure intervention fidelity and understand how dementia care training impacted NCMs’ provision of dementia care management services during interactions with caregivers of PLWD.
Methods
We recruited 30 active NCMs; 15 were randomly assigned to receive training. For each nurse, we randomly selected 1–3 patients with a diagnosis of dementia in each nurse’s care during January-June 2021 for a total of 54 medical charts. To assess training uptake and fidelity, we identified documentation by NCMs of CRESCENT protocol implementation in the medical records. To understand how the training impacted the amount and types of dementia care management services provided in interactions with family caregivers, we compared attention to key dementia topic areas between trained NCMs (intervention) and untrained NCMs (control).
Results
Within the trained group only, community resources for PLWD, followed by safety, medication reconciliation, and advanced care planning topic areas were addressed most frequently (> 30%), while behavior management was addressed least frequently (12%). Trained NCMs were more likely to document addressing aspects of caregiver wellbeing (p = 0.03), community resources (p = 0.002), and identification of behavior (p = 0.03) and safety issues (p = 0.02) compared to those without training. There was no difference between groups in the amount of care coordination provided (p = 0.64).
Conclusion
Results from this study demonstrate that focused dementia care training enriches care conversations in important topic areas for PLWD and family caregivers. Future research will clarify how best to sustain and optimize high quality dementia care in care management programs with special attention to the NCM-family caregiver relationship.
Trial number
NCT04556097.
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