Count data models for outpatient health services utilisation

Table 4 Estimated coefficients for the best fit model, MZINB

Variable	Coef.	SE	p-value	95% CI
Variable	Coef.	SE	p-value	Lower	Upper
*Predisposing factors*
State
Johor	0.326	0.135	0.016	0.061	0.591
Kedah	0.083	0.153	0.589	-0.217	0.382
Kelantan	0.193	0.160	0.228	-0.121	0.507
Melaka	0.411	0.172	0.017	0.075	0.747
Negeri Sembilan	0.264	0.141	0.061	-0.012	0.540
Pahang	0.295	0.144	0.041	0.012	0.577
Penang	Ref
Perak	0.307	0.143	0.031	0.028	0.587
Perlis	0.132	0.247	0.593	-0.352	0.617
Selangor	0.171	0.123	0.165	-0.070	0.413
Terengganu	0.709	0.143	< 0.001	0.429	0.988
Sabah	0.669	0.144	< 0.001	0.387	0.951
Sarawak	0.551	0.144	< 0.001	0.269	0.834
Federal Territory of Kuala Lumpur	0.227	0.161	0.157	-0.088	0.542
Federal Territory of Labuan	0.340	0.363	0.349	-0.371	1.050
Federal Territory of Putrajaya	0.326	0.296	0.271	-0.255	0.906
Ethnic group
Malay	0.410	0.119	0.001	0.176	0.643
Chinese	0.401	0.117	0.001	0.173	0.630
Indian	0.411	0.140	0.003	0.137	0.686
Bumiputera Sabah	-0.073	0.163	0.654	-0.393	0.247
Bumiputera Sarawak	Ref
Others ethnic	0.314	0.147	0.032	0.026	0.601
*Enabling factors*
Poorest quintile	Ref
Second quintile	0.101	0.066	0.123	-0.027	0.230
Third quintile	0.068	0.065	0.296	-0.059	0.195
Fourth quintile	0.186	0.069	0.007	0.052	0.320
Richest quintile	0.234	0.067	< 0.001	0.103	0.366
*Health need factors*
Had any self-reported health problem
Perceived health status	Ref
Excellent & good	0.032	0.045	0.487	-0.057	0.120
Fair	0.586	0.069	< 0.001	0.451	0.722
Poor & Very poor	-0.563	0.174	0.001	-0.905	-0.221
Intercept	0.326	0.135	0.016	0.061	0.591

ISSN: 1471-2288