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‘The stars seem aligned’: a qualitative study to understand the effects of context on scale-up of maternal and newborn health innovations in Ethiopia, India and Nigeria

Overview of attention for article published in Globalization and Health, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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115 Mendeley
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Title
‘The stars seem aligned’: a qualitative study to understand the effects of context on scale-up of maternal and newborn health innovations in Ethiopia, India and Nigeria
Published in
Globalization and Health, November 2016
DOI 10.1186/s12992-016-0218-0
Pubmed ID
Authors

Neil Spicer, Della Berhanu, Dipankar Bhattacharya, Ritgak Dimka Tilley-Gyado, Meenakshi Gautham, Joanna Schellenberg, Addis Tamire-Woldemariam, Nasir Umar, Deepthi Wickremasinghe

Abstract

Donors commonly fund innovative interventions to improve health in the hope that governments of low and middle-income countries will scale-up those that are shown to be effective. Yet innovations can be slow to be adopted by country governments and implemented at scale. Our study explores this problem by identifying key contextual factors influencing scale-up of maternal and newborn health innovations in three low-income settings: Ethiopia, the six states of northeast Nigeria and Uttar Pradesh state in India. We conducted 150 semi-structured interviews in 2012/13 with stakeholders from government, development partner agencies, externally funded implementers including civil society organisations, academic institutions and professional associations to understand scale-up of innovations to improve the health of mothers and newborns these study settings. We analysed interview data with the aid of a common analytic framework to enable cross-country comparison, with Nvivo to code themes. We found that multiple contextual factors enabled and undermined attempts to catalyse scale-up of donor-funded maternal and newborn health innovations. Factors influencing government decisions to accept innovations at scale included: how health policy decisions are made; prioritising and funding maternal and newborn health; and development partner harmonisation. Factors influencing the implementation of innovations at scale included: health systems capacity in the three settings; and security in northeast Nigeria. Contextual factors influencing beneficiary communities' uptake of innovations at scale included: sociocultural contexts; and access to healthcare. We conclude that context is critical: externally funded implementers need to assess and adapt for contexts if they are to successfully position an innovation for scale-up.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 18%
Researcher 16 14%
Student > Ph. D. Student 16 14%
Other 5 4%
Student > Doctoral Student 4 3%
Other 18 16%
Unknown 35 30%
Readers by discipline Count As %
Medicine and Dentistry 19 17%
Nursing and Health Professions 18 16%
Social Sciences 12 10%
Economics, Econometrics and Finance 7 6%
Engineering 3 3%
Other 16 14%
Unknown 40 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 February 2017.
All research outputs
#6,072,382
of 24,677,985 outputs
Outputs from Globalization and Health
#741
of 1,183 outputs
Outputs of similar age
#102,908
of 425,773 outputs
Outputs of similar age from Globalization and Health
#13
of 25 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 425,773 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.