Changes in intravenous immunoglobulin prescribing patterns during a period of severe product shortages, 1995–2000
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Canadian consumption of intravenous immunoglobulin (IVIG) has increased dramatically since it was first marketed in the early 1980s, and Canada is now the world's largest per capita consumer. During the late 1990s, worldwide product shortages of IVIG occurred. This study was designed to identify the disease conditions for which IVIG was being prescribed in academic hospitals during this period, and to explore the effects that IVIG shortages had on prescribing patterns. MATERIALS AND METHODS: Blood bank and pharmacy records of IVIG distribution were collected retrospectively from four Toronto teaching hospitals for the period 1995-2000. These records were then cross-referenced with patient medical records to determine the indication for IVIG administration. RESULTS: A total of 100,208 g of IVIG was prescribed to 429 patients over a 6-year period. Most of the IVIG consumption was in patients with haematological (22%) or neurological (20%) conditions, in recipients of bone marrow transplants (19%) and in patients with infectious disease-related conditions (including congenital and acquired hypogammoglobulinaemia, 18%). Dermatological conditions (7%) were the most rapidly growing indication for IVIG usage during the 6-year period of review, increasing from 0% of annual IVIG usage in 1995 to 16% in 2000. Over 80% of the diseases treated were supported by published recommendations. After 1997 there was an abrupt decline in the annual number of patients treated, primarily owing to a decline in single-use recipients. Annual consumption of IVIG, however, remained stable. CONCLUSIONS: IVIG shortages were followed by a decrease in the number of single-use recipients, who probably represented empirical use of IVIG; this had little effect on the total amount of IVIG distributed annually. Stricter adherence to currently available published recommendations may not be the optimal means of controlling IVIG use within an academic hospital setting. Rather, emphasis may be better placed on improving the evidence base upon which these recommendations are made, for example by conducting controlled prospective clinical trials.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".