تقرير
Multilevel latent class (MLC) modelling of healthcare provider causal effects on patient outcomes: Evaluation via simulation
| العنوان: | Multilevel latent class (MLC) modelling of healthcare provider causal effects on patient outcomes: Evaluation via simulation |
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| المؤلفون: | Harrison, Wendy J., Baxter, Paul D., Gilthorpe, Mark S. |
| سنة النشر: | 2019 |
| المجموعة: | Statistics |
| مصطلحات موضوعية: | Statistics - Methodology, Statistics - Applications |
| الوصف: | Where performance comparison of healthcare providers is of interest, characteristics of both patients and the health condition of interest must be balanced across providers for a fair comparison. This is unlikely to be feasible within observational data, as patient population characteristics may vary geographically and patient care may vary by characteristics of the health condition. We simulated data for patients and providers, based on a previously utilized real-world dataset, and separately considered both binary and continuous covariate-effects at the upper level. Multilevel latent class (MLC) modelling is proposed to partition a prediction focus at the patient level (accommodating casemix) and a causal inference focus at the provider level. The MLC model recovered a range of simulated Trust-level effects. Median recovered values were almost identical to simulated values for the binary Trust-level covariate, and we observed successful recovery of the continuous Trust-level covariate with at least 3 latent Trust classes. Credible intervals widen as the error variance increases. The MLC approach successfully partitioned modelling for prediction and for causal inference, addressing the potential conflict between these two distinct analytical strategies. This improves upon strategies which only adjust for differential selection. Patient-level variation and measurement uncertainty are accommodated within the latent classes. Comment: 19 pages, 5 figures. Abstract to be published in the conference proceedings for the Society for Social Medicine & Population Health and International Epidemiology Association European Congress Joint Annual Scientific Meeting, September 2019 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1909.01035 |
| رقم الأكسشن: | edsarx.1909.01035 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |