Integrated Memory Care Clinic: Design, Implementation, and Initial Results
Bibliographic record
Abstract
The Integrated Memory Care Clinic (IMCC) is a patient-centered medical home as defined by the National Committee for Quality Assurance directed by advanced practice registered nurses (APRNs) caring for persons living with dementia (PLWD); physicians provide specialty consultation but do not direct care or care planning. The IMCC incorporates geriatric nursing, social work, and APRNs from neurology, gerontology, palliative care, and geriatric psychiatry. APRNs provide comprehensive, coordinated primary care for dementia, other chronic conditions, and minor acute illnesses. Partnering with PLWD and families and taking a palliative-oriented, dementia-informed medical home approach, the IMCC aims to reduce dementia burden. This study describes the first 12 months of IMCC's operation with 139 enrolled PLWD-caregiver dyads. All patients have a diagnosis of dementia or mild cognitive impairment; most have Alzheimer's disease (53.2%). Patients have an average of 5.8 medical conditions and 6.9 prescriptions; 38.1% have an advanced directive, a medical power of attorney, or a living will. Mean age is 78.6, 63.3% are female, and 30.9% are African American. Mean Montreal Cognitive Assessment score is 12.6. Most require assistance in activities of daily living. Many display neuropsychiatric symptoms. The most prevalent comorbidities are hypertension, dyslipidemia, and depression. The rate of ambulatory-sensitive hospitalizations declined from 6.7% in December 2015 to less than 1% in May 2016. Caregivers were highly satisfied. We observed nonsignificant improvements in neuropsychiatric symptom severity (p=.07), caregiver distress (p=.69), and caregiver competence (p=.18). IMCC is a novel care model for PLWD and their caregivers and may be a more sustainable model than traditional primary care for this growing vulnerable population. J Am Geriatr Soc 66:2401-2407, 2018.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".