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Hospital Mortality – a neglected but rich source of information supporting the transition to higher quality health systems in low and middle income countries

Overview of attention for article published in BMC Medicine, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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48 X users

Citations

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35 Dimensions

Readers on

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131 Mendeley
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Title
Hospital Mortality – a neglected but rich source of information supporting the transition to higher quality health systems in low and middle income countries
Published in
BMC Medicine, March 2018
DOI 10.1186/s12916-018-1024-8
Pubmed ID
Authors

Mike English, Paul Mwaniki, Thomas Julius, Mercy Chepkirui, David Gathara, Paul O. Ouma, Peter Cherutich, Emelda A. Okiro, Robert W. Snow

Abstract

There is increasing focus on the strength of primary health care systems in low and middle-income countries (LMIC). There are important roles for higher quality district hospital care within these systems. These hospitals are also sources of information of considerable importance to health systems, but this role, as with the wider roles of district hospitals, has been neglected. As we make efforts to develop higher quality health systems in LMIC we highlight the critical importance of district hospitals focusing here on how data on hospital mortality offers value: i) in understanding disease burden; ii) as part of surveillance and impact monitoring; iii) as an entry point to exploring system failures; and iv) as a lens to examine variability in health system performance and possibly as a measure of health system quality in its own right. However, attention needs paying to improving data quality by addressing reporting gaps and cause of death reporting. Ideally enabling the collection of basic, standardised patient level data might support at least simple case-mix and case-severity adjustment helping us understand variation. Better mortality data could support impact evaluation, benchmarking, exploration of links between health system inputs and outcomes and critical scrutiny of geographic variation in quality and outcomes of care. Improved hospital information is a neglected but broadly valuable public good. Accurate, complete and timely hospital mortality reporting is a key attribute of a functioning health system. It can support countries' efforts to transition to higher quality health systems in LMIC enabling national and local advocacy, accountability and action.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 18%
Researcher 18 14%
Student > Doctoral Student 11 8%
Student > Bachelor 10 8%
Student > Postgraduate 10 8%
Other 22 17%
Unknown 36 27%
Readers by discipline Count As %
Medicine and Dentistry 43 33%
Nursing and Health Professions 9 7%
Social Sciences 8 6%
Economics, Econometrics and Finance 6 5%
Agricultural and Biological Sciences 4 3%
Other 18 14%
Unknown 43 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 03 February 2019.
All research outputs
#1,323,298
of 25,711,194 outputs
Outputs from BMC Medicine
#916
of 4,073 outputs
Outputs of similar age
#28,795
of 345,856 outputs
Outputs of similar age from BMC Medicine
#18
of 47 outputs
Altmetric has tracked 25,711,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,073 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. This one has done well, scoring higher than 77% 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 345,856 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 47 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 61% of its contemporaries.