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. 2021 Jul 9;9(9):e1216–e1225. doi: 10.1016/S2214-109X(21)00289-8

Table 2.

Univariate and multivariate analysis of factors associated with admission to hospital in the first and second waves in South Africa, March 5, 2020–March 27, 2021

Percentage of patients in first wave (95% CI) Percentage of patients in second wave (95% CI) Unadjusted OR (95% CI) Adjusted OR (95% CI)* Adjusted OR (95% CI)
Age, years
<40 24·3% (24·0–24·6) 20·5% (20·3–20·8) 1 (ref) 1 (ref) 1 (ref)
40–64 51·2% (50·9–51·6) 50·7% (50·4–51·1) 1·17 (1·10–1·25) 1·29 (1·21–1·38) 1·22 (1·14–1·31)
≥65 24·5% (24·2–24·8) 28·7% (28·5–29·0) 1·39 (1·26–1·53) 1·46 (1·32–1·60) 1·38 (1·25–1·52)
Sex
Female 55·8% (55·4–56·2) 55·5% (55·2–55·8) 1 (ref) .. ..
Male 44·2% (43·8–44·6) 44·5% (44·2–44·8) 1·01 (0·98–1·05) .. ..
Race
White 9·2% (8·9–9·4) 11·6% (11·2–11·9) 1 (ref) 1 (ref) 1 (ref)
Black 78·6% (78·2–79·0) 68·1% (67·6–68·5) 0·69 (0·61–0·77) 0·56 (0·50–0·63) 0·53 (0·47–0·60)
Mixed 7·1% (6·8–7·3) 13·6% (13·3–13·9) 1·52 (1·29–1·80) 1·22 (1·07–1·39) 1·21 (1·06–1·38)
Indian 5·2% (5·1–5·4) 6·8% (6·6–7·0) 1·03 (0·90–1·18) 0·79 (0·67–0·93) 0·77 (0·66–0·91)
Presence of comorbidities
No 39·3% (38·9–39·8) 45·0% (44·6–45·3) 1 (ref) 1 (ref) 1 (ref)
Yes 60·7% (60·2–61·1) 55·0% (54·7–55·4) 0·79 (0·71–0·89) 0·60 (0·55–0·66) 0·60 (0·55–0·67)
Health sector
Private sector 51·6% (51·2–51·9) 47·1% (46·8–47·4) 1 (ref) 1 (ref) 1 (ref)
Public sector 48·4% (48·1–48·8) 52·9% (52·6–53·2) 1·20 (1·02–1·40) 1·63 (1·40–1·89) 1·65 (1·41–1·92)
Province
Western Cape 16·5% (16·2–16·8) 22·4% (22·2–22·7) 1 (ref) 1 (ref) 1 (ref)
Eastern Cape 12·4% (12·2–12·6) 13·4% (13·2–13·6) 0·79 (0·59–1·06) 0·90 (0·66–1·24) 0·97 (0·71–1·34)
Free State 6·3% (6·1–6·5) 3·3% (3·2–3·5) 0·39 (0·28–0·55) 0·49 (0·34–0·70) 0·49 (0·34–0·70)
Gauteng 34·9% (34·5–35·2) 23·3% (23·0–23·5) 0·49 (0·37–0·64) 0·59 (0·44–0·78) 0·55 (0·41–0·74)
KwaZulu-Natal 18·1% (17·8–18·3) 23·5% (23·3–23·8) 0·96 (0·72–1·28) 1·21 (0·89–1·65) 1·14 (0·83–1·55)
Limpopo 1·9% (1·8–2·0) 5·2% (5·1–5·4) 2·00 (1·42–2·83) 2·60 (1·87–3·63) 2·41 (1·74–3·34)
Mpumalanga 3·0% (2·8–3·1) 3·9% (3·8–4·1) 0·97 (0·66–1·44) 1·32 (0·91–1·92) 1·30 (0·89–1·90)
North West 5·6% (5·4–5·7) 3·8% (3·6–3·9) 0·49 (0·33–0·73) 0·65 (0·43–0·99) 0·62 (0·41–0·95)
Northern Cape 1·4% (1·3–1·5) 1·1% (1·1–1·2) 0·59 (0·33–1·06) 0·60 (0·35–1·04) 0·62 (0·35–1·07)
Weekly national admission number
Low (<3500) 4·7% (4·5–4·9) 3·0% (2·9–3·1) 1 (ref) .. 1 (ref)
Medium (3500–5749) 26·5% (26·2–26·8) 13·4% (13·2–13·6) 0·80 (0·65–0·97) .. 0·80 (0·66–0·96)
High (5750–7999) 19·5% (19·2–19·8) 14·7% (14·4–14·9) 1·18 (0·94–1·48) .. 1·22 (0·98–1·52)
Very high (>8000) 49·3% (48·9–49·6) 68·9% (68·7–69·2) 2·20 (1·71–2·85) .. 2·31 (1·81–2·95)

For this analysis, the outcome variable was admission to hospital during wave 2 (event) versus admission to hospital during wave 1 (control), and the exposures were the characteristics of patients admitted to hospital. ORs represent the odds of being admitted to hospital in wave 2 among patients in the given exposure category versus the odds of being admitted to hospital in wave 2 among patients in the reference exposure category. OR=odds ratio.

*

Unadjusted for weekly admissions.

Adjusted for weekly admissions.

Statistically significant estimates.