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Quality improvement initiatives for hospitalised small and sick newborns in low- and middle-income countries: a systematic review

Overview of attention for article published in Implementation Science, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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2 policy sources
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24 X users
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239 Mendeley
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Title
Quality improvement initiatives for hospitalised small and sick newborns in low- and middle-income countries: a systematic review
Published in
Implementation Science, January 2018
DOI 10.1186/s13012-018-0712-2
Pubmed ID
Authors

Nabila Zaka, Emma C. Alexander, Logan Manikam, Irena C. F. Norman, Melika Akhbari, Sarah Moxon, Pavani Kalluri Ram, Georgina Murphy, Mike English, Susan Niermeyer, Luwei Pearson

Abstract

An estimated 2.6 million newborns died in 2016; over 98.5% of deaths occurred in low- and middle-income countries (LMICs). Neonates born preterm and small for gestational age are particularly at risk given the high incidence of infectious complications, cardiopulmonary, and neurodevelopmental disorders in this group. Quality improvement (QI) initiatives can reduce the burden of mortality and morbidity for hospitalised newborns in these settings. We undertook a systematic review to synthesise evidence from LMICs on QI approaches used, outcome measures employed to estimate effects, and the nature of implementation challenges. We searched Medline, EMBASE, WHO Global Health Library, Cochrane Library, WHO ICTRP, and ClinicalTrials.gov and scanned the references of identified studies and systematic reviews. Searches covered January 2000 until April 2017. Search terms were "quality improvement", "newborns", "hospitalised", and their derivatives. Studies were excluded if they took place in high-income countries, did not include QI interventions, or did not include small and sick hospitalised newborns. Cochrane Risk of Bias tools were used to quality appraise the studies. From 8110 results, 28 studies were included, covering 23 LMICs and 65,642 participants. Most interventions were meso level (district and clinic level); fewer were micro (patient-provider level) or macro (above district level). In-service training was the most common intervention subtype; service organisation and distribution of referencing materials were also frequently identified. The most commonly assessed outcome was mortality, followed by length of admission, sepsis rates, and infection rates. Key barriers to implementation of quality improvement initiatives included overburdened staff and lack of sufficient equipment. The frequency of meso level, single centre, and educational interventions suggests that these interventions may be easier for programme planners to implement. The success of some interventions in reducing morbidity and mortality rates suggests that QI approaches have a high potential for benefit to newborns. Going forward, there are opportunities to strengthen the focus of QI initiatives and to develop improved, larger-scale, collaborative research into implementation of quality improvement initiatives for this high-risk group. PROSPERO CRD42017055459 .

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 239 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 13%
Researcher 29 12%
Student > Ph. D. Student 20 8%
Student > Postgraduate 14 6%
Student > Bachelor 13 5%
Other 57 24%
Unknown 74 31%
Readers by discipline Count As %
Medicine and Dentistry 64 27%
Nursing and Health Professions 41 17%
Social Sciences 13 5%
Unspecified 8 3%
Agricultural and Biological Sciences 3 1%
Other 26 11%
Unknown 84 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 22 September 2021.
All research outputs
#1,626,092
of 24,739,153 outputs
Outputs from Implementation Science
#309
of 1,779 outputs
Outputs of similar age
#38,236
of 451,505 outputs
Outputs of similar age from Implementation Science
#13
of 43 outputs
Altmetric has tracked 24,739,153 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 82% 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 451,505 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 43 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 72% of its contemporaries.