Evidence map›Paper›PMID 36744622›Full record

ArticleHealth policy and planning2023

Integrating an algorithmic and health systems thinking approach to improve the uptake of government antenatal nutrition services in Vidisha, Madhya Pradesh (India), 2018 to 2021.

Vani Sethi, Archana Mishra, K S Ahirwar, A P Singh, Sameer Pawar, Pushpa Awasthy, Ankita Tiwari, Avi Saini, Narendra Patel, Abhishek Kumar and 3 more

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Article in Health policy and planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Vani SethiRegional Nutrition Specialist, UNICEF Regional Office for South Asia, P.O.Box 5815, Leknath Marg, Kathmandu, Nepal.ORCID 0000-0001-9408-2956
Archana MishraMaternal Health Division, Government of Madhya Pradesh, Arera Hills, Bhopal, Madhya Pradesh 462027, India.
K S AhirwarChief Medical Health Officer, Government of Madhya Pradesh, Vidisha District, Bhopal, Madhya Pradesh 464001, India.
A P SinghChief Medical Health Officer, Government of Madhya Pradesh, Vidisha District, Bhopal, Madhya Pradesh 464001, India.
Sameer PawarPublic Health and Nutrition, UNICEF Field Office for Madhya Pradesh, Krishna Nagar, Shymala Hills, Bhopal, Madhya Pradesh 462002, India.
Pushpa AwasthyUNICEF Field Office for Madhya Pradesh, Krishna Nagar, Shymala Hills, Bhopal, Madhya Pradesh 462002, India.
Ankita TiwariUNICEF Field Office for Madhya Pradesh, Krishna Nagar, Shymala Hills, Bhopal, Madhya Pradesh 462002, India.
Avi SainiInstitute of Economic Growth, Delhi University Enclave (North Campus), New Delhi 110007, India.
Narendra PatelInstitute of Economic Growth, Delhi University Enclave (North Campus), New Delhi 110007, India.
Abhishek KumarInstitute of Economic Growth, Delhi University Enclave (North Campus), New Delhi 110007, India.
Tashi ChoedanInstitute of Economic Growth, Delhi University Enclave (North Campus), New Delhi 110007, India.
Mansi ShekharMasters in Nutrition, PGDHM, Nutrition International Field Office for Madhya Pradesh, Basant Kunj, Shahpura, Bhopal, Madhya Pradesh 462016, India.
William JoeInstitute of Economic Growth, Delhi University Enclave (North Campus), New Delhi 110007, India.

Funding

UNICEF
6 · The paper itself

Abstract

In 2018, the Government of Madhya Pradesh initiated the feasibility testing of integrating an algorithmic approach (assess, give, counsel, treat) to strengthen antenatal nutrition services in routine government-funded programmes coupled with a health system thinking approach to strengthen the health service delivery platform. Implementation phases included (1) an evidence review and stakeholder consultations (April 2018) and (2) a health systems strengthening preparedness phase (May-December 2018), including pilot testing in Vidisha district (January-December 2019) covering ∼54 100 pregnant women with 237 antenatal contact points through 241 government auxiliary nurse midwives/staff nurses. During 2020-21, feasibility testing was expanded to an additional 7 districts. We used programme registers of the Auxiliary Nurse Midwives Registers (2019-21) and National Family Health Survey data for 2016 and 2021 to show changes in the Vidisha district and 7 expansion districts. We compare the performance of Vidisha district with Ashok Nagar district, where no such intervention occurred. Comparing 2016 and 2021 data, the Vidisha district showed improvements in receipt of antenatal care in the first trimester (29 to 85%) and in four antenatal visits (17 to 54%). Using the difference-in-difference approach, a 42% net increase in first-trimester antenatal check-ups in Vidisha as compared to Ashok Nagar is observed. There was also an improvement in the maternal nutrition budget of the state from USD 8.5 million to USD 17.8 million during this period. The Vidisha initiative offers several lessons in time-effective workflow to deliver all constituents of nutrition services at various antenatal contact points through and via routine government health systems. Continued execution of the algorithm for screening, with longitudinal data on the management of all nutrition risks, will be critical to show its long-term impact on maternal morbidities and birth outcomes.

Indexed as

Health Services AccessibilityPrenatal CareFemaleGovernmentHumansPregnancyPrenatal Nutritional Physiological PhenomenaSystems Analysisantenatal carehealth systemsIndiaMaternal nutritionVidisha

Identifiers

PMID36744622
PMCPMC10089058

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.