Using floating catchment area (FCA) metrics to predict health care utilization patterns

Table 1 Percent of hospital visits (based on counts) correctly predicted

METRIC, FUNCTION	MIN	MOD	HOSP	HIGH
E2SFCA, DLL	67.10	60.62	53.91	48.05
E2SFCA, GAUS	68.43	68.78	66.87	64.81
E2SFCA, EXP	67.59	62.69	54.67	43.88
E2SFCA, LCDF	71.17	65.11	56.72	50.41
M2SFCA, DLL	71.11	73.84	71.72	66.47
M2SFCA, GAUS	62.03	68.59	69.56	69.15
M2SFCA, EXP	72.46	72.81	69.91	58.59
M2SFCA, LCDF	67.82	72.49	70.47	66.31
3SFCA, DLL	71.62	73.88	71.58	66.52
3SFCA, GAUS	62.44	69.02	70.08	69.68
3SFCA, EXP	73.14	73.19	70.01	58.88
3SFCA, LCDF	68.45	73.02	70.63	66.54
H3SFCA, DLL	61.83	60.79	57.51	52.27
H3SFCA, GAUS	56.87	58.93	58.75	58.01
H3SFCA, EXP	61.15	60.12	56.23	46.29
H3SFCA, LCDF	59.95	60.36	57.12	52.65
DIST, DLL	57.78	51.08	44.43	38.90
DIST, GAUS	62.49	62.13	59.23	56.30
DIST, EXP	58.43	53.19	45.02	34.97
DIST, LCDF	63.92	55.79	47.05	40.97
HUFF, DLL	46.68	40.85	35.81	31.64
HUFF, GAUS	53.98	51.74	48.82	45.89
HUFF, EXP	47.49	42.61	36.24	28.69
HUFF, LCDF	53.31	44.91	37.77	33.23

Legend: The spatial accessibility metric and decay function are in the rows and the decay functions’ parameter settings are in the columns. The highest accuracy combination for each metric is in bold text

ISSN: 1472-6963