Evidence map›Paper›PMID 34556098›Full record

ArticleBMC health services research2021

Using a human-centred design approach to develop a comprehensive newborn monitoring chart for inpatient care in Kenya.

Naomi Muinga, Chris Paton, Edith Gicheha, Sylvia Omoke, Ibukun-Oluwa Omolade Abejirinde, Lenka Benova, Mike English, Marjolein Zweekhorst

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

13 citing papers in PubMed, 38 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 7 institutions in 8 countries.

Naomi MuingaAthena Institute, VU University Amsterdam, Amsterdam, Netherlands. nmuinga@kemri-wellcome.org.
Chris PatonCentre for Tropical medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, GB, England.
Edith GichehaRice University, Houston, USA.
Sylvia OmokeKEMRI/Wellcome Trust Research Programme, Nairobi, Kenya.
Ibukun-Oluwa Omolade AbejirindeDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Lenka BenovaSexual and Reproductive Health Group, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Mike EnglishKEMRI/Wellcome Trust Research Programme, Nairobi, Kenya.
Marjolein ZweekhorstAthena Institute, VU University Amsterdam, Amsterdam, Netherlands.
Amsterdam UMC Location VUmc · NLInstituut voor Tropische Geneeskunde · BEKenya Medical Research Institute · KEPublic Health Ontario · CARice University · USUniversity of Otago · NZUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionJob aids such as observation charts are commonly used to record inpatient nursing observations. For sick newborns, it is important to provide critical information, intervene, and tailor treatment to improve health outcomes, as countries work towards reducing neonatal mortality. However, inpatient vital sign readings are often poorly documented and little attention has been paid to the process of chart design as a method of improving care quality. Poorly designed charts do not meet user needs leading to increased mental effort, duplication, suboptimal documentation and fragmentation. We provide a detailed account of a process of designing a monitoring chart.

methodsWe used a Human-Centred Design (HCD) approach to co-design a newborn monitoring chart between March and May 2019 in three workshops attended by 16-21 participants each (nurses and doctors) drawn from 14 hospitals in Kenya. We used personas, user story mapping during the workshops and observed chart completion to identify challenges with current charts and design requirements. Two new charts were piloted in four hospitals between June 2019 and February 2020 and revised in a cyclical manner.

resultsChallenges were identified regarding the chart design and supply, and how staff used existing charts. Challenges to use included limited staffing, a knowledge deficit among junior staff, poor interprofessional communication, and lack of appropriate and working equipment. We identified a strong preference from participants for one chart to capture vital signs, assessment of the baby, and feed and fluid prescription and monitoring; data that were previously captured on several charts. DISCUSSION: Adopting a Human-Centred Design approach, we designed a new comprehensive newborn monitoring chart that is unlike observation charts in the literature that only focus on vital signs. While the new chart does not address all needs, we believe that once implemented, it can help build a clearer picture of the care given to newborns.

conclusionThe chart was co-designed and piloted with the user and context in mind resulting in a unique monitoring chart that can be adopted in similar settings.

Indexed as

HospitalizationInpatientsHospitalsHumansInfantInfant, NewbornKenyaMonitoring, PhysiologicDocumentationHuman-centred designInpatientNewbornNursing care

Identifiers

PMID34556098
PMCPMC8461871
OpenAlexW3200009713

What OpenQuestion holds

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LicenceCC BY
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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.