ArticleHealth services research2006
Application of regression-discontinuity analysis in pharmaceutical health services research.
Article in Health services research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 25 citations in OpenAlex.
- Expanding Cessation Pharmacotherapy Via Videoconference Educational Outreach to Prescribers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2015Trial
- Healthcare Quality Improvement Analytics: An Example Using Computerized Provider Order Entry.Healthcare (Basel, Switzerland) · 2021Article
- Did copayment changes reduce health service utilization among CHIP enrollees? Evidence from Alabama.Health services research · 2012Article
- ESTIMATING MARGINAL RETURNS TO MEDICAL CARE: EVIDENCE FROM AT-RISK NEWBORNS.The quarterly journal of economics · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo demonstrate how a relatively underused design, regression-discontinuity (RD), can provide robust estimates of intervention effects when stronger designs are impossible to implement. DATA SOURCES/STUDY
settingAdministrative claims from a Mid-Atlantic state Medicaid program were used to evaluate the effectiveness of an educational drug utilization review intervention. STUDY
designQuasi-experimental design. DATA COLLECTION/EXTRACTION
methodsA drug utilization review study was conducted to evaluate a letter intervention to physicians treating Medicaid children with potentially excessive use of short-acting beta(2)-agonist inhalers (SAB). The outcome measure is change in seasonally-adjusted SAB use 5 months pre- and postintervention. To determine if the intervention reduced monthly SAB utilization, results from an RD analysis are compared to findings from a pretest-posttest design using repeated-measure ANOVA. PRINCIPAL
findingsBoth analyses indicated that the intervention significantly reduced SAB use among the high users. Average monthly SAB use declined by 0.9 canisters per month (p<.001) according to the repeated-measure ANOVA and by 0.2 canisters per month (p<.001) from RD analysis.
conclusionsRegression-discontinuity design is a useful quasi-experimental methodology that has significant advantages in internal validity compared to other pre-post designs when assessing interventions in which subjects' assignment is based on cutoff scores for a critical variable.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.