Evidence map›Paper›PMID 25406496›Full record

ArticleBMC pregnancy and childbirth2014

Improvements in newborn care and newborn resuscitation following a quality improvement program at scale: results from a before and after study in Tanzania.

Christina Lulu Makene, Marya Plotkin, Sheena Currie, Dunstan Bishanga, Patience Ugwi, Henry Louis, Kiholeth Winani, Brett D Nelson

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
6.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 3 countries.

Christina Lulu MakeneJhpiego Tanzania, PO Box 9170, Dar es Salaam, Tanzania. Christina.makene@jhpiego.org.
Marya PlotkinJhpiego Tanzania, PO Box 9170, Dar es Salaam, Tanzania. Marya.plotkin@jhpiego.org.
Sheena CurrieJhpiego Baltimore, Baltimore, MD, USA. sheena.currie@jhpiego.org.
Dunstan BishangaJhpiego Tanzania, PO Box 9170, Dar es Salaam, Tanzania. Dunstan.Bishanga@jhpiego.org.
Patience UgwiDepartments of Pediatrics and Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA. tamiugwi@gmail.com.
Henry LouisDepartments of Pediatrics and Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA. henrygj24@gmail.com.
Kiholeth WinaniTanzania Ministry of Health and Social Welfare, Dar es Salaam, Tanzania. Kwinani1977@gmail.com.
Brett D NelsonDepartments of Pediatrics and Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA. brett.d.nelson@gmail.com.
Massachusetts General Hospital · USTanzania Commission for Science and Technology · TZHarvard University · USManagement and Development for Health · TZMinistry of Health and Social Welfare · TZUniversity of Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvery year, more than a million of the world's newborns die on their first day of life; as many as two-thirds of these deaths could be saved with essential care at birth and the early newborn period. Simple interventions to improve the quality of essential newborn care in health facilities - for example, improving steps to help newborns breathe at birth - have demonstrated up to 47% reduction in newborn mortality in health facilities in Tanzania. We conducted an evaluation of the effects of a large-scale maternal-newborn quality improvement intervention in Tanzania that assessed the quality of provision of essential newborn care and newborn resuscitation.

methodsCross-sectional health facility surveys were conducted pre-intervention (2010) and post intervention (2012) in 52 health facilities in the program implementation area. Essential newborn care provided by health care providers immediately following birth was observed for 489 newborns in 2010 and 560 in 2012; actual management of newborns with trouble breathing were observed in 2010 (n = 18) and 2012 (n = 40). Assessments of health worker knowledge were conducted with case studies (2010, n = 206; 2012, n = 217) and a simulated resuscitation using a newborn mannequin (2010, n = 299; 2012, n = 213). Facility audits assessed facility readiness for essential newborn care.

resultsIndex scores for quality of observed essential newborn care showed significant overall improvement following the quality-of-care intervention, from 39% to 73% (p <0.0001). Health worker knowledge using a case study significantly improved as well, from 23% to 41% (p <0.0001) but skills in resuscitation using a newborn mannequin were persistently low. Availability of essential newborn care supplies, which was high at baseline in the regional hospitals, improved at the lower-level health facilities.

conclusionsWithin two years, the quality improvement program was successful in raising the quality of essential newborn care services in the program facilities. Some gaps in newborn care were persistent, notably practical skills in newborn resuscitation. Continued investment in life-saving improvements to newborn care through the health services is a priority for reduction of newborn mortality in Tanzania.

Indexed as

Developing CountriesHealth Knowledge, Attitudes, PracticeQuality ImprovementClinical CompetenceCross-Sectional StudiesEquipment and Supplies, HospitalGuideline AdherenceHumansInfant, NewbornPerinatal CarePersonnel, HospitalPractice Guidelines as TopicResuscitationTanzania

Identifiers

PMID25406496
PMCPMC4247559
OpenAlexW2130788392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.