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Countdown to 2015 country case studies: systematic tools to address the “black box” of health systems and policy assessment

Overview of attention for article published in BMC Public Health, September 2016
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

policy
1 policy source
twitter
3 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
148 Mendeley
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Title
Countdown to 2015 country case studies: systematic tools to address the “black box” of health systems and policy assessment
Published in
BMC Public Health, September 2016
DOI 10.1186/s12889-016-3402-5
Pubmed ID
Authors

Neha S. Singh, Luis Huicho, Hoviyeh Afnan-Holmes, Theopista John, Allisyn C. Moran, Tim Colbourn, Chris Grundy, Zoe Matthews, Blerta Maliqi, Matthews Mathai, Bernadette Daelmans, Jennifer Requejo, Joy E. Lawn

Abstract

Evaluating health systems and policy (HSP) change and implementation is critical in understanding reproductive, maternal, newborn and child health (RMNCH) progress within and across countries. Whilst data for health outcomes, coverage and equity have advanced in the last decade, comparable analyses of HSP changes are lacking. We present a set of novel tools developed by Countdown to 2015 (Countdown) to systematically analyse and describe HSP change for RMNCH indicators, enabling multi-country comparisons. International experts worked with eight country teams to develop HSP tools via mixed methods. These tools assess RMNCH change over time (e.g. 1990-2015) and include: (i) Policy and Programme Timeline Tool (depicting change according to level of policy); (ii) Health Policy Tracer Indicators Dashboard (showing 11 selected RMNCH policies over time); (iii) Health Systems Tracer Indicators Dashboard (showing four selected systems indicators over time); and (iv) Programme implementation assessment. To illustrate these tools, we present results from Tanzania and Peru, two of eight Countdown case studies. The Policy and Programme Timeline tool shows that Tanzania's RMNCH environment is complex, with increased funding and programmes for child survival, particularly primary-care implementation. Maternal health was prioritised since mid-1990s, yet with variable programme implementation, mainly targeting facilities. Newborn health only received attention since 2005, yet is rapidly scaling-up interventions at facility- and community-levels. Reproductive health lost momentum, with re-investment since 2010. Contrastingly, Peru moved from standalone to integrated RMNCH programme implementation, combined with multi-sectoral, anti-poverty strategies. The HSP Tracer Indicators Dashboards show that Peru has adopted nine of 11 policy tracer indicators and Tanzania has adopted seven. Peru costed national RMNCH plans pre-2000, whereas Tanzania developed a national RMNCH plan in 2006 but only costed the reproductive health component. Both countries included all lifesaving RMNCH commodities on their essential medicines lists. Peru has twice the health worker density of Tanzania (15.4 vs. 7.1/10,000 population, respectively), although both are below the 22.8 WHO minimum threshold. These are the first HSP tools using mixed methods to systematically analyse and describe RMNCH changes within and across countries, important in informing accelerated progress for ending preventable maternal, newborn and child mortality in the post-2015 era.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Latvia 1 <1%
Unknown 146 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 22%
Student > Master 27 18%
Student > Ph. D. Student 15 10%
Student > Bachelor 11 7%
Student > Doctoral Student 9 6%
Other 24 16%
Unknown 30 20%
Readers by discipline Count As %
Medicine and Dentistry 42 28%
Social Sciences 23 16%
Nursing and Health Professions 22 15%
Psychology 5 3%
Business, Management and Accounting 4 3%
Other 20 14%
Unknown 32 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 June 2021.
All research outputs
#5,108,853
of 19,508,584 outputs
Outputs from BMC Public Health
#5,326
of 12,822 outputs
Outputs of similar age
#81,155
of 286,013 outputs
Outputs of similar age from BMC Public Health
#6
of 16 outputs
Altmetric has tracked 19,508,584 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 12,822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 286,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 16 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 62% of its contemporaries.