Supplemental Table I. Catalogue of Occupations and Categories

Supplemental Table I. Catalogue of Occupations and Categories

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