Does capitation affect the delivery of oral healthcare and access to services? Evidence from a pilot contact in Northern Ireland

Table 2 Series of regression models to show findings for each research question

Dependent variable	Intervention variable estimate		Estimate with control variables		n, N, r²
Dependent variable	Coeff.	p-value	Coeff.	p-value	n, N, r²
Patient selection
% of registered patients age 60 and above	−2.01	0.10	-	-	70, 2557, 0.04
% of registered patient that are children	−10.74	P<0.01	-	-	70, 2557, 0.19
% of registered patients exempt from payment charges for reasons associated with high dental care need	−6.55	0.05	-	-	70, 2557, 0.14
Receipt of care among registrants
Patients seen per 100 registrations	−0.54	0.07	−1.61	P<0.01	70, 2557, 0.11
Treatment courses per 100 registrations	0.78	0.01	0.44	0.33	70, 2557, 0.01
Value of treatment per treatment course	−10.83	P<0.01	−14.00	P<0.01	70, 2557, 0.29
Mix of treatments
Examination per 100 patients seen	−4.30	0.02	−9.7	P<0.01	70, 2557, 0.05
Extractions per 100 patients seen	4.62	P<0.01	6.31	P<0.01	70, 2557, 0.18
Fillings per 100 patients seen	−15.97	P<0.01	−17.12	P<0.01	70, 2557, 0.22
Scale and polish per 100 patients seen	−8.13	0.01	−11.5	P<0.01	70, 2557, 0.07
Fluoride varnish per 100 patients seen	−0.01	0.80	0.03	0.41	70, 2557, 0.19
Fluoride varnish per 100 child registrations	−0.001	0.91	0.008	0.33	70, 2557, 0.06
Financial viability
Patient payment charge revenue per registration	3.93	P<0.01	−0.68	0.63	70, 2557, 77
Patient payment charge revenue per treatment course	1.37	0.17	−2.91	P<0.01	70, 2989, 0.80

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