Table 4

Distribution of background characteristics in the dataset matched by means of fingerprints compared to three datasets of records matched using conventional personal identifiers
Variable Matched on fingerprint (n = 623) Matched with scenario 6 (n = 492) Matched with scenario 16 (n = 551) Matched with scenario 17 (n = 552)
n (%) n (%) p-value* n (%) p-value* n (%) p-value*
Sex
Female 511 (82.0) 395 (80.3) 445 (80.8) 447 (81.0)
Male 112 (18.0) 97 (19.7) 0.460 106 (19.2) 0.579 105 (19.0) 0.645
Age
18-34 334 (53.6) 284 (57.7) 308 (55.9) 308 (55.8)
35-49 125 (20.1) 100 (20.3 112 (20.3) 115 (20.8)
50-64 89 (14.3) 66 (13.4) 78 (14.2) 77 (14.0)
65+ 75 (12.0) 42 (8.5) 0.240 53 (9.6) 0.601 52 (9.4) 0.528
Ethnicity
Other 96 (15.4) 67 (13.6) 76 (13.8) 75 (13.6)
South African 527 (84.6) 425 (86.4) 0.401 475 (86.2) 0.434 477 (86.4) 0.377
Residence status
Permanent 574 (92.1) 450 (91.5) 506 (91.8) 507 (91.8)
Temporary and other 48 (7.7) 42 (8.5) 0.595 45 (8.2) 0.617 45 (8.2) 0.618
Highest level of education
None 97 (15.6) 54 (11.0) 71 (12.9) 69 (12.5)
Some primary 191 (30.7) 144 (29.3) 164 (29.8) 166 (30.1)
Post primary 302 (48.5) 267 (54.3) 0.098 288 (52.3) 0.491 288 (52.2) 0.426
Employment
Not working 514 (82.5) 413 (83.9) 462 (83.4) 460 (83.3)
Working 93 (14.9) 70 (14.2) 0.660 79 (14.3) 0.643 81 (14.7) 0.795
Wealth quintile
Lowest 44 (7.1) 28 (5.7) 33 (6.0) 34 (16.2)
Second 84 (13.5) 62 (12.6) 75 (13.6) 73 (13.2)
Middle 125 (20.1) 100 (20.3) 108 (19.6) 110 (19.9)
Fourth 172 (27.6) 136 (27.6) 152 (27.6) 150 (21.2)
Highest 184 (29.5) 159 (32.3) 0.753 174 (31.58) 0.912 175 (31.7) 0.952

*p-value using chi-squared test computed separately for records in each scenario compared to records matched by means of fingerprints.

Kabudula et al.

Kabudula et al. BMC Medical Research Methodology 2014 14:71   doi:10.1186/1471-2288-14-71

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