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Table 4 Tobit regression results

From: Estimating productivity levels in primary medical services across clinical commissioning groups in England and the impact of the COVID-19 pandemic: a data envelopment analysis

 

Period 1

Period 2

Model term

Estimate

95% CI

P > |z|

Estimate

95% CI

P > |z|

Intercept

0.682

0.468, 0.896

0.000

0.704

0.396, 1.013

0.000

1k registered patients

0.001

-0.001, 0.003

0.529

0.000

-0.003, 0.003

0.869

% patients aged 65+ yrs

0.012

0.002, 0.021

0.017

0.008

-0.004, 0.020

0.205

Deprivation (IMD2019)

0.002

0.000, 0.004

0.042

0.003

0.000, 0.006

0.073

Births per 1k patients

0.008

-0.001, 0.018

0.085

0.008

-0.007, 0.022

0.292

Deaths per 1k patients

-0.016

-0.032, 0.001

0.064

-0.013

-0.030, 0.004

0.146

Disease prevalence

 High prev. a-r (ref)

0.000

-

-

0.000

-

-

 High prev. other

0.040

0.005, 0.075

0.026

0.043

-0.002, 0.088

0.062

 Low prev.

-0.018

-0.045, 0.010

0.219

0.003

-0.037, 0.044

0.876

GP:Nurse ratio

-0.034

-0.064, -0.004

0.029

-0.016

-0.055, 0.023

0.427

GP:OtherDPC ratio

0.019

0.009, 0.030

0.000

0.022

0.004, 0.040

0.018

GP:Admin ratio

-0.002

-0.213, 0.209

0.986

-0.035

-0.304, 0.234

0.799

  1. Period 1 – Apr to Dec 2019, period 2 – Apr to Dec 2020, a-r – age-related conditions, DPC – direct patient contact staff
  2. Estimates are adjusted for the number of registered patients, proportion of patients aged over 65 years, deprivation, birth rate, death rate, disease prevalence cluster, FTE GP to nurse ratio, FTE GP to other clinical staff ratio and FTE GP to admin ratio