Impact of the Ananya program on reproductive, maternal, newborn and child health and nutrition in Bihar, India: early results from a quasi-experimental study

"I Am Going to Take It Up": Implementing Skin-to-Skin Contact in Uganda

Timely and prolonged skin-to-skin contact (SSC) immediately after birth is recommended in the Ugandan Clinical Guideline, the 2023 International Research and Practice Guideline on SSC and by the WHO/UNICEF Baby-Friendly Hospital Initiative. Skin-to-skin contact is safe, low-resource, evidence-based and contributes to short- and long-term health outcomes. However, practice is inconsistent. A rapid-change intervention, PRECESS (Practice, Reflection, Education and training, Combined with Ethnography for Sustainable Success), encouraged adaptation of the SSC Guideline protocol in a regional referral hospital in Uganda. Fifteen key informants, including leadership and staff members, were interviewed before and after the practice change about perceived barriers and solutions for implementing SSC. The semi-structured pre- and post-intervention interviews were recorded, transcribed and analyzed for meaningful units and themes. Three themes emerged: (1) Commitment to consistent, evidence-based care within constraints; (2) Addressing knowledge and skill regarding the optimal practice of SSC; and (3) Willingness to "take-up" the practice change for the benefit of mothers and babies. Our findings support the experiential method of practice change PRECESS to implement immediate, continuous, uninterrupted SSC for at least the first hour after birth. Despite the challenges and barriers identified in key informant interviews, significant progress was made in increasing the duration of SSC for both vaginal and cesarean births. The identified themes provide insight for future implementation of skin-to-skin contact.

Improving the precision of maternal, newborn, and child health impact through geospatial analysis of the association of contextual and programmatic factors with health trends in Bihar, India

Background

There is a scarcity of research that comprehensively examines programme impact from a context-specific perspective. We aimed to determine the conditions under which the Bihar Technical Support Programme led to more favourable outcomes for maternal and child health in Bihar.

Methods

We obtained block-level data on maternal and child health indicators during the state-wide scale-up of the pilot Ananya programme and data on health facility readiness, along with geographical and sociodemographic variables. We examined the associations of these factors with increases in the levels of indicators using multilevel logistic regression, and the associations with rates of change in the indicators using Bayesian Hierarchical modelling.

Results

Frontline worker (FLW) visits between 2014-2017 were more likely to increase in blocks with better night lighting (odds ratio (OR) = 1.23, 95% confidence interval (CI) = 1.01-1.51). Birth preparedness increased in blocks with increasing FLW visits (OR = 3.43, 95% CI = 1.15-10.21), while dry cord care practice increased in blocks where satisfaction with FLW visits was increasing (OR = 1.52, 95% CI = 1.10-2.11). Age-appropriate frequency of complementary feeding increased in blocks with higher development index (OR = 1.55, 95% CI = 1.16-2.06) and a higher percentage of scheduled caste or tribe (OR = 3.21, 95% CI = 1.13-9.09). An increase in most outcomes was more likely in areas with lower baseline levels.

Conclusions

Contextual factors (eg, night lighting and development) not targeted by the programme and FLW visits were associated with favourable programme outcomes. Intervention design, including intervention selection for a particular geography, should be modified to fit the local context in the short term. Expanding collaborations beyond the health sector to influence modifiable contextual factors in the long term can result in a higher magnitude and more sustainable impact.

Registration

ClinicalTrials.gov: NCT02726230.

Impact of mHealth interventions for reproductive, maternal, newborn and child health and nutrition at scale: BBC Media Action and the Ananya program in Bihar, India

Background

Mobile health (mHealth) tools have potential for improving the reach and quality of health information and services through community health workers in low- and middle-income countries. This study evaluates the impact of an mHealth tool implemented at scale as part of the statewide reproductive,maternal, newborn and child health and nutrition (RMNCHN) program in Bihar, India.

Methods

Three survey-based data sets were analysed to compare the health-related knowledge, attitudes and behaviours amongst childbearing women exposed to the Mobile Kunji and Dr. Anita mHealth tools during their visits with frontline workers compared with those who were unexposed.

Results

An evaluation by Mathematica (2014) revealed that exposure to Mobile Kunji and Dr. Anita recordings were associated with significantly higher odds of consuming iron-folic acid tablets (odds ratio (OR) = 2.3, 95% confidence interval (CI) = 1.8-3.1) as well as taking a set of three measures for delivery preparedness (OR = 2.8, 95% CI = 1.9-4.2) and appropriate infant complementary feeding (OR = 1.9, 95% CI = 1.0-3.5). CARE India’s Community-based Household Surveys (2012-2017) demonstrated significant improvements in early breastfeeding (OR = 1.64, 95% CI = 1.5-1.78) and exclusive breastfeeding (OR = 1.46, 95% CI = 1.33-1.62) in addition to birth preparedness practices. BBC Media Action’s Usage & Engagement Survey (2014) demonstrated a positive association between exposure to Mobile Kunji and Dr. Anita and exclusive breastfeeding (58% exposed vs 43% unexposed, P < 0.01) as well as maternal respondents’ trust in their frontline worker.

Conclusions

Significant improvements in RMNCHN-related knowledge and behaviours were observed for Bihari women who were exposed to Mobile Kunji and Dr. Anita. This analysis is unique in its rigorous evaluation across multiple data sets of mHealth interventions implemented at scale. These results can help inform global understanding of how best to use mHealth tools, for whom, and in what contexts.

Study registration

ClinicalTrials.gov number NCT02726230.