Can an mhealth clinical decision-making support system improve adherence to neonatal healthcare protocols in a low-resource setting?

Table 1 Distribution of health personnel and delivery related workload in study clusters

Period	Cluster	Resource ranking	Operating authority	Number of doctors	Number of obstetricians	Number of paediatricians	Number of midwives	Number of deliveries
				(n)	(n)	(n)	(n)
Pre-trial	Intervention arm
	A	High -resource	Government	4	0	0	21	1636
	B	Low- resource	Religious	1	0	0	9	654
	Control arm
	C	High -resource	Government	7	0	0	29	3569
	D	Low- resource	Government	2	0	0	10	671
Trial	Intervention arm
	A	High -resource	Government	5	0	0	23	1759
	B	Low- resource	Religious	2	1	0	15	735
	Control arm
	C	High -resource	Government	5	0	0	34	4657
	D	Low- resource	Government	3	0	0	13	768
Period	Cluster	Resource ranking	Deliveries per midwife	Deliveries per doctor	^aWorkload	Proportion of pre and post intervention deliveries
Pre-trial	Intervention arm
	A	High -resource	78	409	Moderate	0.25
	B	Low- resource	73	654	Moderate	0.22
	Control arm
	C	High -resource	123	510	High	0.55
	D	Low- resource	67	336	Moderate	0.10
Trial	Intervention arm
	A	High -resource	76	352	High	0.22
	B	Low- resource	49	368	low	0.09
	Control arm
	C	High -resource	137	931	High	0.59
	D	Low- resource	59	256	Moderate	0.10

^aEstimated by the number of deliveries per midwife; Low < 50, Moderate 50–90, High > 90. The workload in each cluster is higher than the internationally recognized value of 29.5 per midwife. The categorization of workload used here is based solely on comparison between the estimated workload among the study clusters

ISSN: 1471-2431