ArticleHealth services research2022
Accounting for past patient composition in evaluations of quality reporting.
Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed, 0 citations in OpenAlex.
- Accounting for past patient composition in evaluations of quality reporting.Health services research · 2022Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate whether accounting for past patient composition in evaluations of the association between public quality reports and patient selectivity changes findings and conclusions. DATA SOURCES: Secondary data analysis of public reports of Assisted Reproductive Technology Clinic success rates between 2011 and 2018. STUDY
designTwo sets of fixed effects models, (1) a standard fixed-effects model (FE) and (2) a dynamic panel model using structural equation modeling estimated with maximum-likelihood (ML-SEM) with one- and two-year lagged patient characteristics, are compared. The outcome variables are patient composition features associated with success rates, including two age categories and eight diagnoses of infertility. Two-year lagged success rates for any live birth and a singleton live birth are central predictor variables. DATA COLLECTION/EXTRACTION
methodsClinics with complete records for the 2011-2018 period were included (N = 303). PRINCIPAL
findingsFor live birth success rates, the two models show increases in the two-year lagged success rate is associated with a reduction in (1) the transformed percentage of patients with endometriosis (FE: β = -0.006, SE = 0.002, p < 0.01; ML-SEM: β = -0.005, SE = 0.002, p < 0.01) and (2) the percentage of patients with tubal diagnoses (FE: β = -0.090, SE = 0.017, p < 0.001; ML-SEM: β = -0.064, SE = 0.027, p < 0.05). For singleton birth success rates, the models show positive associations between the two-year lagged success rate and the percent of patients over 35 years old (FE: β = 0.219, SE = 0.033, p < 0.001; ML-SEM: β = 0.095, SE = 0.047, p < 0.05). Overall, the FE models show numerous significant associations with the two-year lagged success rate not observed in the ML-SEM models. Thus, the preferred and theoretically appropriate model (ML-SEM) and the more commonly used model (FE) yield different results.
conclusionsResearchers and policymakers should use models that account for past patient composition when evaluating the associations between quality reports and patient selectivity.
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