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    IDEAS project - Scaling-up innovations to improve maternal and newborn health - Uttar Pradesh case study resources

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    The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice in Ethiopia, northeast Nigeria and Uttar Pradesh, India. This data collection contains interview field notes and supporting information produced as part of a case study to document and assess the process by which the State Government of Uttar Pradesh introduced and scaled-up mSehat, a mobile phone application used by community health workers (Accredited Social Health Activists (ASHAs)) to create and maintain electronic health records

    IDEAS project - Scaling-up innovations to improve maternal and newborn health - Ethiopia case study resources

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    The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice in Ethiopia, northeast Nigeria and Uttar Pradesh, India. This data collection contains interview field notes and supporting information produced as part of a case study to determine what had catalysed, helped and hindered the scale-up of antibiotic administration by health extension workers treating newborn sepsis in Ethiopia. This innovation, which had originated from the Community Based Interventions for Newborns in Ethiopia (COMBINE) project and been evaluated through a randomised control trial, had at the time of this study, been scaled-up to 92 woredas as one of nine components of the first phase of the Ethiopian Government’s Community Based Newborn Care package (CBNC)

    IDEAS project - Scaling-up innovations to improve maternal and newborn health - Nigeria case study resources

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    The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice in Ethiopia, northeast Nigeria and Uttar Pradesh, India. This data collection contains interview field notes and supporting information produced as part of a case study to investigate how an emergency transport scheme for pregnant women and newborn babies introduced in Gombe state had been scaled up to Adamawa state by Transaid and the Society for Family Health, working with National Union of Transport Workers

    IDEAS project - Private sector health data sharing study in Uttar Pradesh

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    The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice. This data collection contains expanded field notes of face-to-face, semi-structured interviews conducted with 48 purposively selected key informants in Lucknow, Allahabad and Hardoi as part of a rapid assessment to determine private sector barriers and enablers associated with the sharing of maternal and newborn health data with the public sector. It also includes photographs of example health records, study tools, and associated documentation

    IDEAS project - Private sector health data sharing study in West Bengal

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    The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice. This data collection is part of the formative research for the creation of a Data Informed Platform (DIPH) for Health in West Bengal to strengthen the public sector’s capacity for data-based decision-making. It consists of a rapid situational analysis of the private health sector in West Bengal to gain insights and understand the private sector’s role and relevance in maternal, newborn and child health services and data sharing. A field study of private health facilities providing maternal and newborn health services was undertaken in two districts – North 24 Parganas and South 24 Parganas. Face-to-face interviews with key informants from these facilities were conducted to identify existing private/public partnerships for health; the maternal and newborn health services provided by them; and the related data that private facilities shared with the public sector

    Aid effectiveness principles for scale-up of innovations to improve maternal and newborn survival in Northeast Nigeria, Ethiopia and Uttar Pradesh State, in India

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    Aim: To understand how to catalyse scale-up of externally funded Maternal and Newborn Health care innovations and identify factors enabling or inhibiting their scale-up. - Background to the study - About the study - Emergent themes relating to principles of aid effectiveness - How those principles affect scale-up - Enabling and challenging factors they present in three geographical settings - Key message

    IDEAS project - Study of the scale-up of innovations to improve maternal and newborn health

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    The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice. This data collection contains resources produced for a qualitative study which explored how innovations to maternal and newborn health improvement can be scaled-up in Ethiopia, northeast Nigeria and the State of Uttar Pradesh, in India, and any catalysts and barriers that exist. It contains a research protocol, interview topic guides, a qualitative code sheet and associated content forms

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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