Short Communication Volume 8 Issue 2
Correspondence: Beena Varghese, Professor and Senior Health Economist, Public Health Foundation of India, New Delhi, India
Received: March 28, 2022 | Published: April 12, 2022
Citation: Saha S, Varg hese B. Cost-effectiveness of the safe childbirth checklist program to improve birth outcomes in India. Int J Pregn and Chi Birth. 2022;8(2):38-40. DOI: 10.15406/ipcb.2022.08.00258
The WHO endorsed safe childbirth checklist (SCC) intervention was implemented in Rajasthan state of India to support delivery of essential maternal and newborn care practices. As part of the evaluation study we assessed the cost-effectiveness of the SCC program in reducing facility-based stillbirths (SBs) and very early neonatal deaths (vENDs, deaths within three-days after birth) and assessed the cost per life-years saved (LYS).
For a cohort of 100,000 births, the incremental provider cost of the SCC intervention was US $ 1.03 million and the intervention would avert 274 deaths and will save 16,456 life years (assuming a life expectancy of 60 years). This translates to a unit cost of USD 3,783 per death averted or US $63 per LYS. This is a highly cost-effective intervention in averting facility-based stillbirths and very early neonatal deaths.
Keywords: cost-effectiveness, life-years saved, India
Access to and utilization of facility based maternal care alone cannot ensure better maternal outcomes.1 High quality care among deliveries happening in institutions is necessary for improved health outcomes.2,3 The WHO endorsed safe childbirth checklist (SCC) intervention was implemented in Rajasthan state of India to support delivery of essential maternal care practices.4 The tool acts a reminder tool and as a job-aid, aiming to improve institutional care practices around delivery and newborn care. The 29-item list of the SCC addresses the major causes of maternal and perinatal deaths (stillbirths and early neonatal deaths within 7 days after delivery)-namely, hemorrhage, infection, obstructed labour and hypertensive disorders, birth asphyxia, infection and complications related to prematurity.5,6
The WHO SCC tool was introduced at all district and sub-district level public health facilities in 7 intervention districts of Rajasthan. This was followed by regular supportive supervision visits to provide onsite support. In addition, drugs and supplies were made available in both intervention and comparison facilities.
Table 1 defines the key phases in implementation of the SCC intervention, the program was implemented by government of Rajasthan with technical support from Jhpiego in 100 district and sub-district level facilities across 7 districts of Rajasthan, India. The facilities in a matched set of 6 comparison districts provided usual care. Health service strengthening activities in the form of ensuring drugs and supplies were done in both intervention and comparison facilities for ethical reasons and to ensure impact of SCC if any is captured with minimal bias.
Phases |
Description of activities |
Preparation |
Identification of intervention and control districts, recruitment |
and staff training, constitution of technical advisory group, |
|
rapid assessment of facilities, field testing of SCC, ensuring |
|
supplies at both intervention and control facilities, orientation |
|
of supervisors |
|
Implementation done in two |
Orientation training (2.5 days per session), supportive |
phases |
supervision, data collection from intervention and control sites. |
Table 1 Defines the main intervention activities followed in the SCC program
In a post only quasi-experimental study with intervention and comparison clusters we assessed the effectiveness of SCC in reducing combined mortality of facility-based stillbirth (SB) (as per WHO definition — late-fetal deaths after gestational age of more than 28 weeks or birth-weight more than 1000 grams) and very early neonatal deaths less than 3 days after birth (vENDs).7 Evaluation included facilities with a specialized newborn care unit as these were the primary source of data on early newborn deaths. Information on all births at these facilities was collected from facility registers from November 2013 to April 2015. The effectiveness data thus comes from the analysis of 34 facilities with special newborn care centres (SNCs) that caters to sick newborn — 19 facilities in intervention and 15 in control. Each facility provided 14-months of data. All stillbirth data were obtained from labor rooms records of these 34 facilities and vENDs were obtained from records of SNCs, and from phone tracking of referral cases from SNCs. In total 137,039 births of which 14,406 newborns were transferred to SNCs for additional care were followed in the study. We found the intervention was associated with a 11.16% reduction in the risk of combined mortality of SB and vENDs (RR: 0.89, 0.81 – 0.97) and 11% reduction in facility-based stillbirths alone (RR: 0.89, 0.81 – 0.98).
In this paper we analysed whether the SCC intervention was cost-effective in reducing the risk of facility based stillbirths and very early neonatal deaths less than three days after birth. We estimated the additional provider costs related to all intervention activities that included start up costs inclusive of checklist printing, and inception meetings followed by intervention costs inclusive of the orientation process for all providers across all intervention facilities, supportive supervision visits, and reorientation if any as required, from May 2012 to April 2015.
We obtained cost data from the project accounts of Jhpiego who tracked all resources expended towards the intervention by activities. Cost items were classified into four broad categories: start-up cost, personnel cost, training cost, and supportive supervision cost. Staff cost included salary cost of district, state and national level staff of Jhpiego, as per the positions level of effort for SCC project. team gave us the overall salary budgeted under SCC project for the above staff level, and indicated a mix of 35%, 38% and 26% for state, district and national staffs. This mix was used for the cost analysis. Separately we received information on overhead for support staff and administrative overhead charged to SCC project. For costing SCC orientation cost, budget reconciliation statements of District Program Managers or DPMs were used. Seven representative orientation costs (one for each district) for one session were obtained from Jhpiego, and those were multiplied by the number of orientation sessions per district to obtain the total cost of orientation in the intervention area.
Supportive supervision visits were mainly done by state and district level team, with occasional visit from national level team of Jhpiego. Transport bill for supportive supervision visit raised by the DPMs were obtained from Jhpiego. Table 2 details the program cost to implement the SCC program. All research costs such as field testing SCC; data collection and rapid assessment of facilities; assessment of facility based recordkeeping tools and systems; preparing data collectors and managers for collection of relevant data were excluded from the analysis, as per the study protocol.
|
Total (USD) |
Share of total |
Start-up cost |
||
Program Staff |
142,990 |
|
Checklist printing |
6,668 |
|
Total start-up cost |
149,658 |
10.68% |
Personnel cost |
||
National staff |
135,174 |
|
State staff |
227,144 |
|
District staff |
375,975 |
|
Total personnel cost |
738,293 |
52.71% |
Training cost |
||
Training cost (Orientation) |
139,053 |
|
Training cost (Refresher) |
15,417 |
|
Total training cost |
154,471 |
11.03% |
Travel for supportive supervision |
||
Supportive Supervision travel cost |
102,793 |
7.34% |
Overhead |
255,572 |
18.24% |
Total |
1,400,787 |
|
Table 2 Incremental cost to implement the SCC program (May 2012 to April 2015)
The main outcome was combined mortality rate of facility-based stillbirths and very early neonatal deaths (less than 3 days after births) (Table 3). Life-years saved (LYS) were estimated from local life expectancy at birth (60 years). Cost-effectiveness was defined as the cost per death averted and cost per LYS. We conducted a sensitivity analysis on the findings. Variables tested were: statistical error in the evidence on the number of deaths averted and reduction in cost.
|
Intervention |
Control area |
arm |
||
Mortality rate (per 1000 |
27.5 |
30.3 |
births) |
||
Lower limit (95% CI) |
26.3 |
28.6 |
Upper limit (95% CI) |
29.1 |
31.5 |
Table 3 Mortality (SB and vEND) estimates from survey data
In total 137,039 births were recorded in the intervention areas for 14 months in the study. For the intervention facilities the SCC intervention was estimated to have an incremental cost of USD 1.4 million over a three year time period of the intervention. Almost half of the cost was towards personnel time. A tenth of the cost were attributed each towards start-up cost and training. For a program which required intense supportive supervision, and therefore skilled human resource this cost appeared justified. For a cohort of 100,000 births this translates to an additional cost of USD 1.03 million.
In terms of effectiveness, evaluation study reported a combined mortality of 27.52 per 1000 births for intervention facilities and 30.27 per 1000 births for comparison facilities, thus preventing 2.75 deaths per 1,000 births. For, 100,000 births, thus this intervention at an additional cost of $1.03 million would avert 275 facility-based still births and very early neonatal deaths. This translates to a unit cost of USD 3,773 per death averted. Using a conservative life expectancy of 60 years at birth, this translates to 16,500 life years saved for unit cost of $63 per life year saved (Table 4). As per widely used standards, since this is very much below the per capita GDP of $15968,9 this intervention is a highly cost-effective intervention in averting facility-based stillbirths and very early neonatal deaths. The intervention remains highly cost-effective across a range of scenarios (Table 5).The Safe Childbirth Checklist program thus offers an affordable means of reducing facility-based still births and very early neonatal deaths, and could benefit from expansion across India with an annual birth cohort of 26 million and in other low and middle income countries.
Incremental cost of the program (in US$) |
1,400,787 |
Total births reported in Intervention areas |
135,000 |
Cost per 100,000 births (in US$) |
|
1,037,620 |
|
Effect on still birth |
|
Still births per 100000 births in intervention area (20.99 per 1,000 |
2,099 |
births) |
|
Still births per 100000 births in control area (23.24 per 1,000 |
2,324 |
births) |
|
Still births averted per 100,000 births |
225 |
Cost per still births averted (in US$) |
4,612 |
Effect on still births and very early neonatal deaths |
|
Total deaths per 100,000 births in intervention area |
2,752 |
Total deaths per 100,000 births in control area |
3,027 |
Total deaths averted per 100,000 births |
275 |
Life years saved (assuming life expectancy of 60 years at birth) |
16,500 |
Cost per deaths (SB and vEND) averted (in US$) |
3,773 |
Cost per LYS (in US$) |
62.88 |
Table 4 Cost-effectiveness of SCC program
Reference case |
|
Cost per peri-natal deaths averted (in US$) |
3,783.34 |
Cost per LYS (in US$) |
63.06 |
25% increase in costs |
|
Cost per peri-natal deaths averted (in US$) |
4,729.17 |
Cost per LYS (in US$) |
78.82 |
25% decrease in costs |
|
Cost per peri-natal deaths averted (in US$) |
2,837.50 |
Cost per LYS (in US$) |
47.29 |
Lower |
estimate of peri-natal mortality reduction |
Cost per peri-natal deaths averted (in US$) |
2,868.47 |
Cost per LYS (in US$) |
63.74 |
Upper estimation of peri-natal mortality reduction |
|
Cost per peri-natal deaths averted (in US$) |
3,670.39 |
Cost per LYS (in US$) |
61.17 |
Table 5 Sensitivity analysis
None.
Data availability: Data associated with the study can be availed by writing to the corresponding author.
There are no conflicting interests declared by the authors.
The study was funded through a grant from the Children’s Investment Fund Foundation, UK and UBS Optimus Foundation, Switzerland to the Public Health Foundation of India, New Delhi. Funder was not involved in manuscript writing.
©2022 Saha, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.