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indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/14963 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/14963 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/14963 indefinite Generate index codes conversion from Text to indexcodes archive 454 disk0/00/00/36/35 2023-11-21 16:28:02 2025-08-26 10:46:35 2023-11-21 16:28:02 data_collection show Fivian Emily 0000-0002-9621-2504 TRUE 1ccec6670ed6492ddd96403f33e14e3b Kadiyala Suneetha 0000-0002-9101-1471 TRUE 49eace5bfbab72e34c039cb6306f7bf4 Harris-fry Helen 0000-0003-2367-908X TRUE 1c4888020aa0a0dedc25146c86387621 Allen Elizabeth 0000-0002-2689-6939 TRUE c65848ea63ddc0ca9af5c5673f35f78a Parida Manoj FALSE Satyanarayan Mohanty FALSE Satyaranjan Behera FALSE Shibanath Padhan FALSE Ronali Pradhan FALSE DataManager Fivian Emily 0000-0002-9621-2504 TRUE ProjectLeader Kadiyala Suneetha 0000-0002-9101-1471 TRUE 49eace5bfbab72e34c039cb6306f7bf4 ResearchGroup Allen Elizabeth 0000-0002-2689-6939 TRUE c65848ea63ddc0ca9af5c5673f35f78a ResearchGroup Harris-fry Helen 0000-0003-2367-908X TRUE 1c4888020aa0a0dedc25146c86387621 DataCollector Manoj Parida FALSE DataCollector Satyanarayan Mohanty FALSE DataCollector Satyaranjan Behera FALSE ProjectMember Shibanath Padhan FALSE ProjectMember Ronali Pradhan FALSE ResearchGroup Audrey Prost FALSE ResearchGroup Philip James FALSE London School of Hygiene & Tropical Medicine, London, United Kingdom University College London, London, United Kingdom DCOR Consulting Pvt. Ltd., India Voluntary Association for Rural Reconstruction and Appropriate Technology (VARRAT), India Digital Green, New Delhi, India Ekjut, Chakradharpur, India JSI Research & Training Institute, United States EPPH Nutrition nutrition-sensitive agriculture India mHealth behaviour change communication equity India These data were collected to assess the feasibility, acceptability and equity of an intervention from the ‘UPAVAN’ trial (see: 10.1016/S2542-5196(21)00001-2) adapted to a mobile intervention (m-UPAVAN) during the COVID-19 pandemic in rural Odisha, India using a convergent parallel mixed-methods design. This includes a dataset and Corresponding Stata DO file used for m-UPAVAN quantitative analysis. The dataset covers monthly monitoring phone surveys assessing coverage, uptake, and acceptability of the m-UPAVAN intervention among women with a child aged <2 years, merged with sociodemographic data collected during a phone survey before the intervention began. 2023-11-21 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00003635 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom Bill and Melinda Gates Foundation Foreign, Commonwealth & Development Office Interview.FaceToFace Interview.Telephone.CATI 23 KFD C.AU restricted London, United Kingdom Bill and Melinda Gates Foundation Foreign, Commonwealth and Development Office Upscaling Participatory Actions and Video for Agriculture and Nutrition Upscaling Participatory Actions and Video for Agriculture and Nutrition Dataset Quantitative Quantitative data: Identifying participants: In Dec 2020-Jan 2021, m-UPAVAN intervention facilitators visited all households in the 133 villages in Keonjhar district, Odisha India where the m-UPAVAN interventions were to take place and collected information on phone ownership and numbers, and identified eligible participants for quantitative feasibility and acceptability assessment (women with a child <2 years of age and with intra-household phone access). Baseline sociodemographic phone survey: From the list of eligible participants, women and their spouses were randomly selected and invited to participate in phone-based sociodemographic baseline surveys in Jan-Feb 2021. The target sample size was 1,000 mothers and their spouses. Monthly monitoring phone surveys: Each month for five months (May-Sept 2021) mothers were randomly drawn from those who participated in the baseline phone survey and invited to participate in phone-based monitoring surveys designed to assess intervention feasibility and acceptability. The target sample size each month was 200 mothers. The recall period for the monitoring surveys is the past month/4 weeks. All phone surveys were conducted by an independent data collection firm, DCOR Consulting Pvt. Ltd. Data were captured in SurveyCTO. Qualitative data: At the end of the intervention, qualitative in-depth interviews were conducted to understand women’s experiences of the intervention, factors that affected it’s feasibility and acceptability, and preferences for mobile (m-UPAVAN) vs face-to-face (UPAVAN) nutrition-sensitive agriculture interventions. 38 women with a child aged <2 years were recruited using purposive sampling to reflect the caste diversity of the population and varied phone types and access (33 mothers with intra-household phone access from the quantitative data collection strand, and 5 mothers without intra-household phone access). All in-depth interviews were semi-structured, with open-ended questions and relevant prompts. Interviews were conducted in Odiya at participants' homes. Data collectors sought informed consent from participants orally which was recorded and documented by DCOR. For in-person qualitative interviews, data collectors sought written (signature or thumbprint) informed consent from participants. OPP1136656 en 2021-01 2021-09 https://doi.org/10.17037/DATA.00003847 data https://doi.org/10.1371/journal.pgph.0003206 paper https://researchonline.lshtm.ac.uk/id/eprint/4662778 Upscaling Participatory Actions and Video for Agriculture and Nutrition Bill and Melinda Gates Foundation OPP1136656 http://dx.doi.org/10.13039/100000865 Upscaling Participatory Actions and Video for Agriculture and Nutrition Foreign, Commonwealth and Development Office http://dx.doi.org/10.13039/501100020171 2023-11-21