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Socioeconomic deprivation scores as predictors of variations in NHS practice payments: a longitudinal study of English general practices 2013-2017. | LitMetric

AI Article Synopsis

Article Abstract

Background: A previous study found that variables related to population health needs were poor predictors of cross-sectional variations in practice payments.

Aim: To investigate whether deprivation scores predicted variations in the increase over time of total payments to general practices per patient, after adjustment for potential confounders.

Design And Setting: Longitudinal multilevel model for 2013-2017; 6900 practices (84.4% of English practices).

Method: Practices were excluded if total adjusted payments per patient were <£10 or >£500 per patient or if deprivation scores were missing. Main outcome measures were adjusted total NHS payments; calculated by dividing total NHS payments, after deductions and premises payments, by the number of registered patients in each practice. A total of 17 independent variables relating to practice population and organisational factors were included in the model after checking for collinearity.

Results: After adjustment for confounders and the logarithmic transformation of the dependent and main independent variables (due to extremely skewed [positive] distribution of payments), practice deprivation scores predicted very weakly longitudinal variations in total payments' slopes. For each 10% increase in the Index of Multiple Deprivation score, practice payments increased by only 0.06%. The large sample size probably explains why eight of the 17 confounders were significant predictors, but with very small coefficients. Most of the variability was at practice level (intraclass correlation = 0.81).

Conclusion: The existing NHS practice payment formula has demonstrated very little redistributive potential and is unlikely to substantially narrow funding gaps between practices with differing workloads caused by the impact of deprivation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582454PMC
http://dx.doi.org/10.3399/bjgp19X704549DOI Listing

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