Can mHealth improve access to safe blood for transfusion during obstetric emergency?

Figures & data

Figure 1 BIMA flowchart.

Abbreviation: BIMA, Blood Information Management Application.

Figure 2 Computer screenshot of blood requisition form from ward.

Figure 3 Computer screenshot of BIMA form from blood bank.

Abbreviation: BIMA, Blood Information Management Application.

Table 1 General characteristics of the participants

Characteristics	Before % (n)	After % (n)	P-value
Women education			0.276
No education	23.1 (33)	15.3 (27)
Primary	28.0 (40)	34.7 (61)
Secondary	42.0 (60)	41.5 (73)
Above secondary	7.0 (10)	8.5 (15)
Religion			0.423
Islam	95.8 (137)	93.8 (166)
Hindu	4.2 (6)	6.2 (11)
Blood group			<0.001
O−	25.2 (36)	0 (0)
O+	34.3 (49)	44.1 (78)
A−	10.5 (15)	0 (0)
A+	30.1 (43)	23.2 (41)
B−	0 (0)	0 (0)
B+	0 (0)	29.4 (52)
AB−	0 (0)	0 (0)
AB+	0 (0)	3.4 (6)
Parity			0.471
Nullipara	23.1 (33)	24.4 (43)
1–2	60.8 (87)	64.2 (113)
3 or more	16.1 (23)	11.4 (20)
Gravida			0.849
1	24.5 (35)	25.6 (45)
2	34.3 (49)	31.3 (55)
3 or more	41.3 (59)	43.2 (76)

Figure 4 Overall total lag time of blood collection before and after the implementation of BIMA.

Abbreviations: BIMA, Blood Information Management Application; 95% CI, 95% confidence interval.

Figure 5 Median transfusion time, by reason, before and after BIMA implementation.

Abbreviations: BIMA, Blood Information Management Application; 95% CI, 95% confidence interval; PIH, pregnancy-induced hypertension; PPH, postpartum hemorrhage.

Figure 6 Median time taken by duty roster.

Abbreviation: 95% CI, 95% confidence interval.

Table 2 Time taken after implementation of BIMA: median linear regression analysis

Variables	Coefficient	95% CI		P-value
		Upper	Lower
Before	1			<0.001
After	−24	−37.61	−12.39

Abbreviations: BIMA, Blood Information Management Application; 95% CI, 95% confidence interval.