Two‐year follow‐up of a randomized controlled trial of a clinical nurse specialist intervention, inpatient, and day patient team care in rheumatoid arthritis
Bibliographic record
Abstract
AIM: To compare the long-term effectiveness of care delivered by a clinical nurse specialist (CNS) with inpatient team care and day patient team care in patients with rheumatoid arthritis and increasing functional limitations. Background. The role of CNSs in the management of patients with rheumatoid arthritis (RA) is evolving, and their effectiveness in comparison with care provided by a rheumatologist alone has been established. However, long-term controlled studies showing how the effectiveness of CNSs compares with that of other forms of co-ordinated care, such as multidisciplinary team care, are lacking. METHODS: Two hundred and ten patients rheumatoid arthritis patients were randomized to care delivered by a CNS in a rheumatology outpatient clinic (12 weeks), inpatient team care (2 weeks) and day patient team care (3 weeks). Clinical assessments recorded on study entry, weeks 12, 26, 52, 78 and 104 comprised the health assessment questionnaire (HAQ) and MacMaster Toronto Arthritis (MACTAR) patient preference interview as primary outcome measures. Grip strength, walk test, RAND-36, Rheumatoid Arthritis Quality of Life questionnaire and disease activity score (DAS) were applied as secondary outcome measures. RESULTS: No significant differences in medical treatment, use of services of other health professionals, introduction of adaptive equipment or number of hospitalizations were observed between the three treatment groups during 2 year follow-up, except that visits to nurse specialists were more frequent and home help was less frequent in the CNS group. A comparison of clinical outcomes among the three groups and a comparison between the nurse specialist and inpatient and day patient care groups together did not show any significant differences. Within all three groups functional status, quality of life and disease activity improved significantly (P < 0.05). In general, the results obtained after 12 weeks remained stable until 104 weeks after the start of the study. CONCLUSION: Care provided by a CNS in an outpatient rheumatology clinic has a similar long-term clinical outcome to inpatient and day patient team care in patients with rheumatoid arthritis. A CNS intervention appears to be an effective innovation in the care for patients with rheumatoid arthritis.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".