Evidence map›Paper›PMID 36962323›Full record

ArticlePLOS global public health2022

Geospatial mapping of timely access to inpatient neonatal care and its relationship to neonatal mortality in Kenya.

Paul O Ouma, Lucas Malla, Benjamin W Wachira, Hellen Kiarie, Jeremiah Mumo, Robert W Snow, Mike English, Emelda A Okiro

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
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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 3 institutions in 2 countries.

Paul O OumaPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-0547-8762
Lucas MallaHealth Services Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Benjamin W WachiraThe Aga Khan University, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-9449-5416
Hellen KiarieHealth Sector Monitoring and Evaluation Unit, Ministry of Health, Nairobi, Kenya.
Jeremiah MumoHealth Sector Monitoring and Evaluation Unit, Ministry of Health, Nairobi, Kenya.
Robert W SnowPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-3725-6088
Mike EnglishHealth Services Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-7427-0826
Emelda A OkiroPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-9543-8360
Kenya Medical Research Institute · KEMinistry of Health · KEAga Khan University Nairobi · KE

Funding

EPA EP-C-15-003Wellcome Trust 092654Wellcome Trust 097170Wellcome Trust 201866Wellcome Trust 201866/Z/16/Z
6 · The paper itself

Abstract

Globally, 2.4 million newborns die in the first month of life, with neonatal mortality rates (NMR) per 1,000 livebirths being highest in sub-Saharan Africa. Improving access to inpatient newborn care is necessary for reduction of neonatal deaths in the region. We explore the relationship between distance to inpatient hospital newborn care and neonatal mortality in Kenya. Data on service availability from numerous sources were used to map hospitals that care for newborns with very low birth weight (VLBW). Estimates of livebirths needing VLBW services were mapped from population census data at 100 m spatial resolution using a random forest algorithm and adjustments using a systematic review of livebirths needing these services. A cost distance algorithm that adjusted for proximity to roads, road speeds, land use and protected areas was used to define geographic access to hospitals offering VLBW services. County-level access metrics were then regressed against estimates of NMR to assess the contribution of geographic access to VLBW services on newborn deaths while controlling for wealth, maternal education and health workforce. 228 VLBW hospitals were mapped, with 29,729 births predicted as requiring VLBW services in 2019. Approximately 80.3% of these births were within 2 hours of the nearest VLBW hospital. Geographic access to these hospitals, ranged from less than 30% in Wajir and Turkana to as high as 80% in six counties. Regression analysis showed that a one percent increase in population within 2 hours of a VLBW hospital was associated with a reduction of NMR by 0.24. Despite access in the country being above the 80% threshold, 17/47 counties do not achieve this benchmark. To reduce inequities in NMR in Kenya, policies to improve care must reduce geographic barriers to access and progressively improve facilities' capacity to provide quality care for VLBW newborns.

Identifiers

PMID36962323
PMCPMC10021833
OpenAlexW4283732537

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read31
identifiers read5
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.