Background: This meta-analysis synthesizes findings from two community-based cross-sectional studies conducted in rural Lucknow (2014–2015), focusing on maternal and neonatal care practices, ANC utilization, delivery outcomes, breastfeeding, and postnatal care. Both studies interviewed the same sample of 368 recently delivered women (RDWs) using multi-stage random sampling. Methods: Data from both papers (Yadav et al., IJCMPH 2020; Yadav et al., NJMAS 2016) were extracted, compared, and pooled for a combined analysis of ANC registration, TT immunization, IFA tablet distribution, delivery practices, birth weight, breastfeeding initiation, colostrum feeding, and neonatal complications. Complementary and divergent findings were identified. Results: ANC registration stood at 89.4%, with 70.4% completing at least 3 ANC visits. Institutional delivery was near-universal at 97.5%. Low birth weight prevalence was 10.3%. ASHA workers dominated all facilitation roles (86–91%). Exclusive breastfeeding was reported at 81%; colostrum feeding at 75.8–93.5%. Neonatal complication rate was 13%. Significant heterogeneity was found in breastfeeding initiation rates between the two studies (27.7% vs 48.4% within 1 hour). Conclusions: ASHA workers are the cornerstone of maternal and neonatal health services in rural Lucknow. Despite progress in institutional delivery and ANC coverage, significant gaps remain in early breastfeeding, post-natal follow-up, and IFA tablet consumption. Strengthening frontline healthcare workers and improving health literacy are critical to achieving Sustainable Development Goals.
Maternal and child health outcomes in rural India have long been a concern for policymakers and clinicians. India contributes approximately one-fifth of global live births and has historically accounted for more than a quarter of all neonatal deaths. Uttar Pradesh (UP), one of India's largest states, exhibits some of the poorest maternal and neonatal health indicators in the country, with a Maternal Mortality Rate (MMR) of 292 per 100,000 live births and an Infant Mortality Rate (IMR) of 56 per 1,000 live births — both well above the national and global averages.
The Millennium Development Goals (MDGs), and later the Sustainable Development Goals (SDGs), set ambitious targets: reducing global MMR to less than 70 per 100,000 live births, neonatal mortality to ≤12 per 1,000 live births, and under-5 mortality to ≤25 per 1,000 live births by 2030. India, however, failed to achieve most MDG targets by 2015, highlighting the need for rigorous evaluation of maternal and neonatal care at the community level.
Two community-based cross-sectional studies were conducted in rural Lucknow between August 2014 and July 2015, each examining complementary aspects of maternal and neonatal care among recently delivered women (RDWs). The first paper (Yadav et al., IJCMPH 2020) focused on natal and neonatal care practices, including delivery, breastfeeding, and neonatal complications. The second paper (Yadav et al., NJMAS 2016) examined the broader utilization of maternal and neonatal care services including antenatal care (ANC), socio-demographic influences, and postnatal follow-up.
This meta-analysis synthesizes and integrates findings from both studies to provide a comprehensive picture of the continuum of maternal and neonatal care in rural Lucknow, highlight convergent and divergent findings, and derive policy implications.
Both studies shared an identical study design: community-based cross-sectional surveys conducted in rural Lucknow from August 2014 to July 2015. The study unit in both was a recently delivered woman (RDW) — defined as a woman who gave a live birth in the preceding 12 months. Both used the same multi-stage random sampling strategy (two blocks from eight, 10 villages per block, 20 RDWs per village), yielding a sample of N = 368 in each. Both were approved by the institutional ethics committee of Era's Lucknow Medical College and Hospital.
Data were extracted independently from each publication across the following domains: socio-demographic characteristics, ANC utilization, natal care, neonatal outcomes (birth weight, complications), breastfeeding practices, postnatal care, and role of facilitators. Pooled proportions and comparative analysis were performed where the same outcomes were reported in both studies.
Given that both studies used the same underlying sample, statistical heterogeneity was assessed qualitatively through comparison of reported proportions. Where divergence was observed (e.g., breastfeeding initiation rates), the potential sources of discrepancy — including differing reference periods and outcome definitions — were explored.
As both papers report on the same cohort of 368 RDWs (with possible minor differences in outcome classification), this analysis is primarily a qualitative synthesis complemented by tabular pooling of proportions. No independent recalculation of odds ratios or confidence intervals was performed beyond those reported in the source papers. Chi-square associations reported in the NJMAS paper (Table 6) are summarized in the socio-demographic analysis section.
|
Characteristic |
Study 1 (IJCMPH 2020) |
Study 2 (NJMAS 2016) |
|
Authors |
Yadav A, Gupta P, Srivastava MR, Zaidi ZH |
Yadav AK, Gupta P, Shrivastava MR, Prakash D, Yadav KK, Srivastav S |
|
Journal |
Int J Community Med Public Health |
National J Medical & Allied Sciences |
|
Year Published |
2020 |
2016 |
|
Study Period |
Aug 2014 – Jul 2015 |
Aug 2014 – Jul 2015 |
|
Study Area |
Rural Lucknow district, UP |
Rural Lucknow district, UP |
|
Sample Size |
368 RDWs |
368 RDWs |
|
Primary Focus |
Natal and neonatal care practices |
ANC utilization and socio-demographic determinants |
|
Sampling |
Multi-stage random (2 blocks, 10 villages each, 20 RDW/village) |
Multi-stage random (identical design) |
|
Ethics Approval |
Era's LMCH, Lucknow |
Era's LMCH, Lucknow |
Both studies recruited 368 RDWs from rural Lucknow. The socio-demographic profile (reported in Study 2 in detail) showed that the majority of RDWs (91.2–92.4%) were aged ≤30 years. Three-fourths were Hindu (75%) and one-fourth Muslim (25%). The dominant castes were OBC and SC/ST (combined 87%), with only 13% from general castes. A large proportion lived in joint families (73.9%), and female unemployment was high at 80.4%. Literacy rate (≥matriculation) was 45.6%.
Study 2 identified statistically significant associations between socio-demographic factors and ANC completion. Women aged <30 years, those from higher socioeconomic classes, those with education above matriculation, those of general castes, and those in joint families were significantly more likely to complete ANC (all p < 0.001).
|
ANC Indicator |
Study 1 (IJCMPH 2020) |
Study 2 (NJMAS 2016) |
|
ANC Registration (any) |
Not separately reported |
89.4% (329/368) |
|
Early Registration (<12 weeks) |
Not separately reported |
61.9% (228/368) |
|
≥3 ANC visits completed |
Not separately reported |
70.4% (259/368) |
|
Two TT doses received |
Not separately reported |
67.7% (249/368) |
|
≥100 IFA tablets received |
Not separately reported |
79.1% (291/368) |
|
Primary ANC facilitator |
ASHA (88%) |
ASHA (81.8%) |
|
ANC at public facility |
Not reported |
82.1% (302/368) |
ANC data was comprehensively reported only in Study 2. A notable finding was that 10.6% of RDWs did not visit a health facility even once during pregnancy. While 89.4% were registered, only 61.9% completed early registration in the first trimester. Coverage improved substantially compared to older UP data (where only 20.66% of the state average was registered early), reflecting the impact of the Janani Suraksha Yojana (JSY) and ASHA-facilitated antenatal services.
TT coverage of 67.7% fell below the national NFHS-III estimate (76%), potentially due to Study 2 counting only two-dose completion. IFA receipt at 79.1% was notably higher than earlier UP estimates of 10–30%, suggesting meaningful improvement in supply-side distribution.
|
Natal Care Indicator |
Study 1 (IJCMPH 2020) |
Study 2 (NJMAS 2016) |
|
Institutional delivery (public) |
Not separately disaggregated |
89.4% (329/368) |
|
Institutional delivery (private) |
— |
8.1% (30/368) |
|
Home delivery |
— |
2.4% (9/368) |
|
Delivery by doctor |
60.9% (224/368) |
89.4% (329/368)* |
|
ASHA as counsellor for delivery |
88% (324/368) |
88% (324/368) |
|
ASHA escorted to delivery site |
86.4% (318/368) |
86.4% (318/368) |
|
ASHA stayed till discharge |
90.8% (334/368) |
— |
|
Most common reason for institutional delivery |
All reasons combined (58.2%) |
All reasons combined (58.2%) |
* In Study 2, the 89.4% figure for doctor-conducted deliveries reflects all deliveries in government institutions; Study 1's 60.9% refers specifically to doctor-conducted deliveries, as 39.1% were managed by trained birth attendants (TBAs). This methodological difference accounts for the numerical discrepancy.
Both studies consistently report near-universal institutional delivery at ~97.5% combined (public + private), with home delivery at only 2.4%. This represents a significant improvement over earlier estimates and underscores the success of JSY incentives in driving institutional delivery uptake. ASHA workers served not merely as counselors, but as escorts and companions through discharge — a comprehensive facilitation role confirmed by both studies identically.
|
Birth Weight Category |
Study 1 (IJCMPH 2020) |
Study 2 (NJMAS 2016) |
|
Low Birth Weight (<2.5 kg) |
10.3% (38/368) |
10.3% (38/368) |
|
Normal (2.5–3.5/4.0 kg) |
88% (324/368) |
88% (324/368) |
|
Macrosomia (>3.5/4.0 kg) |
1.6% (6/368) |
1.6% (6/368) |
|
All babies weighed at birth |
100% (368/368) |
100% (368/368) |
Birth weight data is perfectly consistent between both studies at 10.3% LBW — confirming data reliability. Universal weighing at birth (100%) indicates complete ascertainment and reflects the standardized institutional delivery protocol under JSY. The LBW rate of 10.3% is below the national average (typically cited at 18–20%), possibly reflecting selection bias toward institutional deliveries in this cohort.
|
Breastfeeding Indicator |
Study 1 (IJCMPH 2020) |
Study 2 (NJMAS 2016) |
|
Exclusive breastfeeding |
81% (298/368) |
Not separately reported |
|
Breastfeeding initiation within 1 hr |
48.4% (178/368) |
27.7% (102/368) |
|
Breastfeeding initiation within 24 hrs |
83.7% (cumulative) |
77.7% (cumulative) |
|
Colostrum feeding |
93.5% (344/368) |
75.8% (279/368) |
|
Not breastfed at all |
Not reported |
20.7% (76/368) |
|
ASHA as breastfeeding counsellor |
90.2% (332/368) |
86.4% (318/368) |
Breastfeeding data reveals the most significant heterogeneity between the two papers. Breastfeeding initiation within 1 hour differs substantially: 48.4% in Study 1 vs 27.7% in Study 2. Several methodological explanations are plausible. Study 1 may have used 'initiation of first breastfeeding attempt' while Study 2 used a more stringent definition of 'sustained breastfeeding within 1 hour.' Study 2 also reports 20.7% not breastfeeding at all, a figure absent from Study 1.
Colostrum feeding also diverges: 93.5% in Study 1 vs 75.8% in Study 2. This may reflect different time horizons of questioning or inclusion/exclusion of prelacteal feed avoidance. Despite these discrepancies, both studies agree that ASHA workers are the primary counselors for breastfeeding promotion (~87–90%), and both report early breastfeeding rates substantially higher than the NFHS-III national baseline of 'very few children put to breast immediately after birth.'
|
Complication |
Study 1 (IJCMPH 2020) |
Study 2 (NJMAS 2016) |
|
No complication |
87% (320/368) |
Not directly stated |
|
Convulsion / Jaundice |
4.9% (18/368) |
8.7% (32/368)* |
|
Feeding difficulty |
4.3% (16/368) |
12.2% (45/368) |
|
Fast breathing |
2.7% (10/368) |
3.0% (11/368) |
|
Fever |
1.1% (4/368) |
2.4% (9/368) |
|
Polio vaccine at birth |
97.3% |
84% complete primary immunization |
|
BCG vaccination |
87.5% at birth, 12% by 1 month |
Included in 84% completion rate |
* Study 1 categorized the complication as 'Convulsion' whereas Study 2 classified it as 'Jaundice' — both at 4.9% and 8.7% respectively. These likely capture different neonatal morbidities due to differing observation periods (Study 1: at birth/during admission; Study 2: within 6 weeks of delivery).
The higher rates of feeding difficulty (12.2% vs 4.3%) and fever (2.4% vs 1.1%) in Study 2 are explained by the longer observation window of 6 weeks post-discharge compared to Study 1's peri-natal observation. This temporal difference is a critical methodological distinction that contextualizes apparent discrepancies. Both studies reinforce that ASHA workers played the dominant role in counselling on prevention of hypothermia, cord care, diarrhea recognition, ARI recognition, and immunization (>90%).
|
Postnatal Care Indicator |
Study 1 (IJCMPH 2020) |
Study 2 (NJMAS 2016) |
|
ASHA postnatal home visit |
Counselling by ASHA: 90.8% |
57.1% (210/368) |
|
No postnatal home visit |
4.9% (no facilitator) |
30.4% (112/368) |
|
Mother visited health centre (≥1 visit) |
— |
67.6% (249/368) |
|
Mother made no health centre visit |
— |
32.3% (119/368) |
|
Postpartum hemorrhage |
— |
1.9% (7/368) |
|
Puerperal sepsis/fever |
— |
2.4% (9/368) |
|
Mastitis/Breast abscess |
— |
3.5% (13/368) |
|
Postpartum eclampsia |
— |
2.2% (8/368) |
Postnatal care data reveals a striking gap between facilitation at the time of delivery and continued follow-up. While 90.8% of RDWs had ASHA accompaniment until hospital discharge, only 57.1% received postnatal home visits. Approximately 30% received no home visit at all, and 32.3% did not visit any health centre postnatally. This 'post-discharge drop-off' in care continuity is a critical system-level finding.
Study 2 further documents significant postpartum morbidity — PPH (1.9%), puerperal sepsis (2.4%), mastitis (3.5%), and postpartum eclampsia (2.2%) — underscoring the clinical importance of robust postnatal monitoring, which is currently inadequate in this rural setting.
|
Domain |
ASHA Coverage (Study 1) |
ASHA Coverage (Study 2) |
|
ANC registration facilitation |
— |
81.8% |
|
Counsellor for institutional delivery |
88% |
88% |
|
Escort to delivery site |
86.4% |
86.4% |
|
Stayed till hospital discharge |
90.8% |
— |
|
Breastfeeding initiation counselling |
90.2% |
86.4% |
|
Exclusive breastfeeding counselling |
90.2% |
— |
|
Hypothermia prevention counselling |
90.2% |
— |
|
Cord care counselling |
90.2% |
— |
|
Diarrhea/ARI counselling |
90.2% |
— |
|
Immunization counselling |
90.2% |
— |
|
Postnatal home visit |
— |
57.1% |
|
Postnatal complication facilitation |
— |
66.7% |
The integrated analysis confirms that ASHA workers are the backbone of maternal and neonatal health service delivery in rural Lucknow. They consistently accounted for 80–91% of all facilitation roles across the continuum of care. The only notable attenuation is in postnatal home visiting (57.1%), suggesting capacity or workload constraints that reduce coverage after discharge. Both studies report that increased ASHA contact is significantly associated with better neonatal outcomes — exclusive breastfeeding was significantly more common among ASHA-counselled women (p=0.001), and postnatal complication management was better facilitated by ASHA than ANM (p=0.019).
This meta-analysis synthesizes a comprehensive picture of the maternal and neonatal care landscape in rural Lucknow based on two papers drawn from the same sample. The overall pattern reveals a health system that has made substantial progress in institutional delivery uptake and basic ANC coverage, while significant gaps persist in the quality and continuity of care — particularly in early breastfeeding practices, postnatal follow-up, and full ANC completion.
The two studies are in complete agreement on several key metrics: LBW prevalence (10.3%), institutional delivery rates (~97.5%), reasons for preferring institutional delivery, ASHA's role as primary counselor and escort for delivery, and immunization at birth. This concordance strongly validates the data quality and reliability of the underlying survey.
The most prominent divergence is in breastfeeding initiation within 1 hour (48.4% vs 27.7%) and colostrum feeding (93.5% vs 75.8%). These differences likely stem from differences in: (i) outcome definitions and recall framing; (ii) data collection timing; and (iii) Study 2's broader scope, which included a more complete accounting of non-breastfeeders (20.7%). For policy purposes, the Study 2 estimate of 27.7% should be considered the more conservative and methodologically comparable benchmark to national NFHS data.
Compared to comparable studies in rural India, this cohort performs above average in institutional delivery and ANC registration. The LBW rate of 10.3% is lower than the national average (~18–20%), possibly reflecting selection bias toward healthier outcomes in JSY-enrolled, ASHA-facilitated deliveries. Exclusive breastfeeding at 81% substantially exceeds the national NFHS-III figure of 46% (Gupta et al.) and the Bareilly figure of 71.2% (Mahmood et al.), suggesting that ASHA-led counselling has had a meaningful impact in this cohort.
Both studies are cross-sectional and cannot establish causality. Recall bias is inherent in retrospective interviewing of RDWs. The sample, while methodologically sound, covers only two blocks of one district and may not represent all of UP. Since both papers likely share the same dataset, this meta-analysis adds analytical integration rather than additional statistical power from independent samples.
This integrated meta-analysis demonstrates that rural Lucknow has made measurable progress in institutional delivery, ANC coverage, and neonatal weighing, largely driven by the ASHA worker program under the National Health Mission. However, critical gaps remain:
Policy Recommendations:
Invest in ANM and AWW roles to distribute the facilitation load beyond ASHA workers.