Spatial accessibility of primary health care utilising the two step floating catchment area method: an assessment of recent improvements

Table 3 Resultant change of access scores with the addition of two different variable catchment size functions, by population size

	Access category (A_iscore range)
	1>0.0012	2>0.001	3>0.0009	4>0.0008	5>0.0007	6>0.0006	7>0.0005	8>0.0004	9>0.0003	10<0.0003
Luo and Whippo’s approach (net change from crude access scores with slow-step decay)^1
>100K	−250	−600	−521	127	−74	255	624	326	125	−11
25-100K	0	−63	−79	−55	67	67	34	29	0	0
5-25K	−10	−47	−44	−25	21	46	13	17	28	1
1.5-5K	−6	−9	−6	−11	−13	5	32	0	1	7
<1.5K	−3	−15	−29	−30	−38	1	18	34	32	29
McGrail and Humphreys’ approach (net change from crude access scores with slow-step decay)^1
>100K	−406	−480	−313	201	363	452	185	37	−29	−11
25-100K	0	−35	−47	39	31	8	29	−25	0	0
5-25K	−10	−41	−18	9	41	6	−16	14	10	4
1.5-5K	−6	−7	−15	7	−6	10	11	13	−8	0
<1.5K	−2	−11	−17	−14	7	4	−13	2	13	30

All figures within the table are ‘000s.
^1: The base (comparison) model is a crude 2SFCA method with the addition of a slow step-decay function. These values represent the net population change (‘000s) within each population size group to the corresponding access scores following the addition of each distance-decay function. Negative values indicate a net drop in the number of residents with access scores in that category. All row totals equal 0.

ISSN: 1476-072X