The patient-centered medical home in the Veterans Health Administration.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The Veterans Health Administration (VHA) is the largest integrated US health system to implement the patient-centered medical home. The Patient Aligned Care Team (PACT) initiative (implemented 2010-2014) aims to achieve team based care, improved access, and care management for more than 5 million primary care patients nationwide. OBJECTIVES: To describe PACT and evaluate interim changes in PACT-related care processes. STUDY DESIGN: Data from the VHA Corporate Data Warehouse were obtained from April 2009 (pre- PACT) to September 2012. All patients assigned to a primary care provider (PCP) at all VHA facilities were included. METHODS: Nonparametric tests of trend across time points. RESULTS: VHA increased primary care staff levels from April 2010 to December 2011 (2.3 to 3.0 staff per PCP full-time equivalent). In-person PCP visit rates slightly decreased from April 2009 to April 2012 (53 to 43 per 100 patients per calendar quarter; P < .01), while in-person nurse encounter rates remained steady. Large increases were seen in phone encounters (2.7 to 28.8 per 100 patients per quarter; P < .01), enhanced personal health record use (3% to 13% of patients enrolled), and electronic messaging to providers (0.01% to 2.3% of patients per quarter). Post hospitalization follow-up improved (6.6% to 61% of VA hospital discharges), but home telemonitoring (0.8% to 1.4% of patients) and group visits (0.2 to 0.65 per 100 patients per quarter; P < .01) grew slowly. CONCLUSIONS: Thirty months into PACT, primary care staff levels and phone and electronic encounters have greatly increased; other changes have been positive but slower.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it