Supplemental Material

Supplemental Table I. Catalogue of occupations and categories

Occupation Classification by Skill Level and Sector / Total
Dairy assistant / 1
General Worker / 13
BASIC LABOR (1) / Secondary / Presser/Laundry Asst / 3
(construction/ / Foreman (supref) / 2
production) / Chief Loader / 1
Machinist/Machine Operator / 15
Receptionist / 3
Shopkeeper / 17
care giver/child sitter / 6
cleaner / 18
domestic worker / 37
gardener / 1
cashier / 5
BASIC LABOR (1) / Tertiary / petrol attendent / 3
(service) / Taxi owner/Driver/Supervisor / 20
Truck/bus driver / 7
Driver / 13
waiter/caterer / 5
painter / 3
salesperson (fruits/veg, perfumes, clothing) / 7
sender / 1
asses controller metro rail / 1
fork lift driver / 1
church property caretaker / 1
admin clerk / 12
bagger in grocery / 1
security guard / 11
panel beater / 3
carpenter / 5
baker / 1
technician / 1
technician assistant / 1
skimming (ceiling board plaster) / 1
SKILLED LABOR / Secondary / bead work / 3
(2) / (skilled / builder/tile layer / 3
production) / process controller / 1
construction company owner / 1
welder / 1
sewing / 4
shopfitting / 4
quality controller / 1
boiler maker / 1
administrator / 3
inspector of busses/cars / 1
alarm technician / 1
motor inspector / 1
Mechanic/ mechanical assistant / 3
SKILLED LABOR / Tertiary / printer / 1
(2) / (skilled service) / hairdresser/salon/beauty industry / 7
"management" / 1
operator / 1
child youth developer / 1
school care taker / 1
Sports Assistant / 1
debt counselor / 2
promotion agent (Standard Bank) / 1
chef / 8
stock controller / 1
electrician/plumber/cable joiner / 6
fashion designer / 4
field marketer / 1
supervisor / 1
inspector / 2
sales (manager/consultant) / 2
tavern owner / 1
community Health Worker / 1
data capturer / 1
financial clerk / 1
management / 1
first aid facilitator / 1
service provider / 1
call center administrator / 1
Instructor, security training officer / 1
Pensioner / 2
lab assistant / 1
receiving clerk / 1
PROFESSIONAL (3) / Secondary / property developer / I
attorney (lawyer) / 3
consultant / 3
consultant (women empowerment programs)
CEO(CCI quality control) / 1
nurse / 2
PROFESSIONAL (3) / Tertiary / contractor / 1
pharmacist assistant / 1
educator / 7
law consultant / 1
accountant officer / 1
dental equipment technician / 1
payroller / 1
graphic designer / 1

Supplemental Table II. Variables used in Principal Component Analysis to

create the Wealth Index

Utilities / Assets / Housing / Housing walls / Housing floors / Food security
Electricity / Television / House / Brick / Tile / Worry about hunger
Indoor Tap / Radio / Flat / Concrete / Concrete / Not enough food
Indoor toilet / Shack / Mud / mud / 24 hrs without food

Supplemental Table III. Univariate analysis of family pays for care among entire cohort

Characteristic / Family pays
n=67 (%) / Other payer
n=391 (%) / OR (95% CI) / p
VF / 35 (52) / 123 (31) / 2.383 (1.41-4.03) / 0.0012
Male gender / 15 (22) / 147 (38) / 0.479 (0.26-0.88) / 0.0179
12 years of education / 43 (64) / 200 (51) / 1.711 (1.00-2.93) / 0.0501
9 years of education / 57 (85) / 327 (83) / 1.116 (0.54-2.30) / 0.7669
Has no income / 66 (99) / 32 (8.2) / 740.4 (99.4->999) / <0.0001
Full time employed / 0 / 237 (61) / <0.001 (<0.01->99) / 0.9380
Self-employed / 0 / 58 (15) / <0.001 (<0.01->99) / 0.9553
Married / 2 (3.0) / 90 (23) / 0.103 (0.03-0.43) / 0.0018
In relationship / 3 (4.5) / 155 (40) / 0.071 (0.02-0.23) / <0.0001
Lives in house / 60 (90) / 363 (93) / 0.661 (0.28-1.58) / 0.3524
Owns own home / 9 (13) / 157 (40) / 0.231 (0.11-0.48) / <0.0001
Owns car / 1 (1.5) / 77 (20) / 0.062 (0.01-0.45) / 0.0061
Travels via car / 1 (1.5) / 64 (16) / 0.077 (0.01-0.57) / 0.0119
Travel via minibus / 66 (99) / 314 (80) / 14.64 (2.0-107.3) / 0.0083
Too busy to take ARVs / 1 (1.5) / 28 (7.2) / 3.460 (1.82-6.58) / 0.0002

Supplemental Table IV. Univariate analysis of family pays for care among women only

Characteristic / Family pays
n=52 (%) / No fam pay
n=244 (%) / OR (95% CI) / p
VF / 25 (48) / 58 (24) / 2.969 (1.60-5.51) / 0.0006
Age<40 / 39 (75) / 142 (58) / 2.155 (1.10-4.24) / 0.0263
12 years of education / 33 (63) / 134 (55) / 1.426 (0.77-2.65) / 0.2608
9 years of education / 44 (85) / 204 (84) / 1.078 (0.47-2.46) / 0.8575
Has no income / 51 (98) / 25 (10) / 446.5 (59->999) / <0.0001
Full time employed / 0 (0) / 148 (61) / <0.001 / 0.9467
Self-employed / 0 (0) / 33 (14) / <0.001 / 0.9634
Married / 1 (1.9) / 38 (16) / 0.106 (0.01-0.79) / 0.0288
In a relationship / 2 3(.9) / 64 (26) / 0.113 (0.03-0.48) / 0.0030
Lives in house / 46 (88) / 229 (94) / 0.502 (0.19-1.36) / 0.1763
Owns own home / 8 (15) / 97 (40) / 0.276 (0.12-0.61) / 0.0015
Owns car / 1 (1.9) / 26 (11) / 0.164 (0.02-1.24) / 0.0799

Supplemental Table V. Univariate analysis of mode transport among entire

cohort for the outcome of VF

Mode transport / Frequency / % / OR / p
Own car / 60 / 13.1 / 2.28 / 0.003
Any car (own, friend, employer) / 65 / 14.2 / 2.21 / 0.003
Minibus/bus / 386 / 84.3 / 0.53 / 0.014
Walk / 8 / 1.8 / 0.27 / 0.22
Employer/company car / 3 / 0.7 / 0.95 / 0.97
Categorical 3 categories (minibus = reference category) / -2.25 / 0.010

Supplemental Table VI. Gender stratification of transportation to clinic variables

for outcome of VF

FEMALES / MALES
Transport to clinic / # / % / OR / p / # / % / OR / p
Owns a car / 27 / 9.1 / 1.32 / 0.52 / 51 / 31 / 2.36 / 0.013
Drives own car / 19 / 6.4 / 1.54 / 0.38 / 41 / 25 / 1.94 / 0.071
Drives any car / 21 / 7.1 / 1.64 / 0.29 / 44 / 27 / 1.79 / 0.10
Takes minibus / 273 / 92 / 0.71 / 0.46 / 113 / 70 / 0.68 / 0.26

Supplemental Table VII. Univariate analysis of travel time to clinic among the entire

cohort for outcome of VF

Variable / Frequency / % / OR / p
Travel time categorical / -- / -- / 0.62
<30 minutes / 40 / 8.7 / 1.29 / 0.44
30-60 minutes / 385 / 84.1 / 0.76 / 0.31
>60 minutes / 33 / 7.2 / 1.25 / 0.54

Supplemental Table VIII. Univariate analysis ofdemographic and socioeconomic characteristics with outcome of automobile ownership among males only

Characteristic / Owns an auto
n=51 (%) / No auto
n=111 (%) / OR (95% CI) / p
VF / 31 (61) / 44 (40) / 2.36 (1.12-4.65) / 0.013
Age < 40 years / 24 (47) / 65 (59) / 0.63 (0.32-1.23) / 0.17
Age > 50 years / 42 (82) / 13 (12) / 1.62 (0.64-4.07) / 0.31
12 years of education / 28 (55) / 48 (43) / 1.60 (0.82-3.11) / 0.17
9 years of education / 48 (94) / 88 (79) / 4.18 (1.19-14.64) / 0.025
Has no income / 2 (3.9) / 20 (18) / 0.19 (0.04-0.83) / 0.027
Full time employed / 29 (57) / 60 (54) / 1.12 (0.57-2.19) / 0.74
Self-employed / 16 (31) / 9 (8.1) / 5.18 (2.10-12.77) / <0.001
Self-pay for care / 51 (100) / 91 (82) / --
Family pays for care / 0 (0) / 15 (14) / --
Married / 24 (47) / 29 (26) / 2.51 (1.25-5.03) / 0.0092
In a relationship / 39 (76) / 53 (48) / 3.56 (1.69-7.50) / <0.001
Lives in house / 48 (94) / 100 (90) / 1.76 (0.47-6.60) / 0.40
Owns own home / 25 (49) / 36 (32) / 2.00 (1.02-3.95) / 0.044
Professional employ / 7 (15) / 2 (2.3) / 7.44 (1.48-37.42) / 0.015
Skilled employment / 13 (28) / 21 (24) / 1.20 (0.54-2.69) / 0.66
Too busy to take ARVs / 8 (15) / 7 (6.3) / 1.98 (0.92-4.26) / 0.081