Prioritising health service innovation investments using public preferences: a discrete choice experiment

Erdem, Seda; Thompson, Carl

doi:10.1186/1472-6963-14-360

BMC Health Services Research

Table 2 Analysis results

From: Prioritising health service innovation investments using public preferences: a discrete choice experiment

	MNL		Scale-adjusted latent class
Parameters			Class-1 (54%)		Class-2 (34%)		Class-3 (12%)
	coef.	s.e.	coef	s.e.	coef	s.e.	coef	s.e.
ASC	−1.270*	0.076	−1.172*	0.133	−2.146*	0.208	0.549**	0.247
Cost	−0.031*	0.002	−0.036*	0.003	−0.036*	0.003	−0.036*	0.003
Target people:
People with disability	0.590*	0.065	0.832*	0.146	0.086	0.084	0.479**	0.225
People with drug addiction	−1.570*	0.083	−2.232*	0.231	−0.442*	0.135	−1.775**	0.715
People with cancer	1.560*	0.119	2.017*	0.277	0.645*	0.171	1.706*	0.371
People with mental health problems	0.310*	1.728	0.677*	0.154	−0.070	0.134	−0.622**	0.271
People with obesity	−1.150*	0.078	−1.583*	0.161	−0.450*	0.107	0.094	0.276
People with asthma	0.260*	0.085	0.289**	0.120	0.231***	0.138	0.118	0.256
Target age:
Young (less than 18)	0.090**	0.040	0.175*	0.054	0.036	0.046	−0.422**	0.212
Adults (18–65)	0.180*	0.041	0.274*	0.068	0.071	0.051	−0.175	0.166
Elderly (more than 65)	−0.270*	4.300	−0.449*	0.074	−0.107**	0.052	0.597*	0.163
Implementation time:
Between 6–12 months	−0.027	0.038	0.027	0.046	−0.075***	0.042	0.164	0.132
More than 12 months	−0.029	0.038	−0.036	0.046	0.015	0.040	−0.254	0.163
Between 0–5 months	0.056	1.604	0.009	0.045	0.060	0.044	0.090	0.123
Whether it works:
It works but not scientifically proven	−0.250*	0.041	−0.201*	0.060	−0.194*	0.052	−0.417**	0.164
It works and scientific studies confirm this	0.210	5.612	0.175*	0.046	0.113**	0.045	0.295**	0.125
Experts say it works elsewhere in the NHS	0.040	0.039	0.026	0.051	0.081***	0.044	0.122	0.131
Potential health benefits:
Moderate health (50%)	−0.360	−8.731	−0.283*	0.060	−0.261*	0.056	0.015	0.130
Good health (75%)	0.110*	0.037	0.061	0.041	0.072**	0.037	−0.011	0.122
Best health (100%)	0.250*	0.038	0.222*	0.061	0.189*	0.050	−0.004	0.121
Scale			λ₁ = 1, λ₂ = 2.65 (s.e. = 0.375)
Probabilities
Class size			0.541*	0.040	0.338	0.037*	0.121*	0.026
Scale λ₁			0.652* (s.e. = 0.086)
Log-likelihood	−2704.018		−2383.155
Pseudo R-squared	0.20		0.39
Number of parameters	15		47
Number of observation	3000		3000

Variables effects-coded. For clarity, we also present the baseline levels, which are arbitrarily chosen. *significant at p < 0.01; **significant at p < 0.05, ***significant at p < 0.10.

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ISSN: 1472-6963

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