Table 4.

Multivariate multilevel logistic regression of patient and organizational determinants of cancer services responsiveness

		Patient reported experience measure
		PAC	PCR	COM	QCE	CSR
		n = 567/563	n = 949/343	n = 833/460	n = 965/329	n = 805/491
		OR [CI 95 %]	OR [CI 95 %]	OR [CI 95 %]	OR [CI 95 %]	OR [CI 95 %]
Patient characteristics
Self-assessed health statusa	Good	1.29	1.95*	1.61*	1.54*	1.64*
		[0.96–1.73]	[1.48–2.57]	[1.25–2.07]	[1.16–2.03]	[1.28–2.10]
Ageb	50–69	1.15	0.99	1.25	1.55*	1.26
		[0.78–1.69]	[0.70–1.42]	[0.9–1.73]	[1.09–2.19]	[0.91–1.74]
	70 years and over	1.33	1.34	1.69*	3.07*	1.73*
		[0.83–2.11]	[0.87–2.06]	[1.13–2.51]	[1.95–4.83]	[1.17–2.56]
Genderc	Men	1.37*	1.23	1.02	1.11	1.19
		[1.031.81]	[0.94–1.62]	[0.79–1.31]	[0.84–1.47]	[0.94–1.53]
Educationd	High school and less	1.19	1.52*	1.65*	1.31*	1.43*
		[0.89–1.61]	[1.17–1.99]	[1.28–2.11]	[0.99–1.72]	[1.12–1.83]
Emotional well-beinge	Good	1.44*	1.07	1.14	1.47*	1.18
		[1.07–1.95]	[0.81–1.41]	[0.88–1.47]	[1.11–1.95]	[0.92–1.52]
Organizational attributes
Mandatef	Local	0.81	1.10	0.97	0.92	1.01
		[0.51–1.30]	[0.71–1.70]	[0.65–1.46]	[0.59–1.45]	[0.68–1.50]
Academic affiliationg	Yes	0.89	0.92	0.75	0.53*	0.69*
		[0.60–1.34]	[0.63–1.33]	[0.53–1.05]	[0.37–0.78]	[0.49–0.97]
Team sizeh	Large	0.69	1.76*	1.34	0.60	1.07
		[0.38–1.27]	[1.03–3.02]	[0.81–2.20]	[0.34–1.06]	[0.66–1.76]
Geographic locationi	Semi-rural	1.01	1.00	0.89	0.80	1.09
		[0.64–1.61]	[0.66–1.52]	[0.61–1.30]	[0.54–1.19]	[0.75–1.59]
	Rural	1.80*	1.65*	1.81*	1.14	1.74*
		[1.07–3.02]	[1.05–2.61]	[1.18–2.78]	[0.70–1.86]	[1.13–2.65]

Results show odds ratios (OR) and confidence intervals [CI] 95 % when both patient characteristics and organizational attributes are in the model

*p < 0,05

^aReference category (1) = Bad

^bReference category (1) = 18–49

^cReference category (1) = Women

^dReference category (1) = College and more

^eReference category (1) = Negative perception

^fReference category (1) = Regional

^gReference category (1) = No

^hReference category (1) = Small < 8

ⁱReference category (1) = Urban