wow-inequalities/02-data/intermediate/wos_sample/3013741fc704b6183eb75e136ac4d789-gathara-david-and-s/info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'Introduction In many African countries, including Kenya, a major barrier
to achieving child survival goals is the slow decline in neonatal
mortality that now represents 45\% of the under-5 mortality. In newborn
care, nurses are the primary caregivers in newborn settings and are
essential in the delivery of safe and effective care. However, due to
high patient workloads and limited resources, nurses may often
consciously or unconsciously prioritise the care they provide resulting
in some tasks being left undone or partially done (missed care). Missed
care has been associated with poor patient outcomes in high-income
countries. However, missed care, examined by direct observation, has not
previously been the subject of research in low/middle-income countries.
Methods and analysis The aim of this study is to quantify essential
neonatal nursing care provided to newborns within newborn units. We will
undertake a cross-sectional study using direct observational methods
within newborn units in six health facilities in Nairobi City County
across the public, private-for-profit and private-not-for-profit
sectors. A total of 216 newborns will be observed between 1 September
2017 and 30 May 2018. Stratified random sampling will be used to select
random 12-hour observation periods while purposive sampling will be used
to identify newborns for direct observation. We will report the overall
prevalence of care left undone, the common tasks that are left undone
and describe any sharing of tasks with people not formally qualified to
provide care.
Ethics and dissemination Ethical approval for this study has been
granted by the Kenya Medical Research Institute Scientific and Ethics
Review Unit. Written informed consent will be sought from mothers and
nurses. Findings from this work will be shared with the participating
hospitals, an expert advisory group that comprises members involved in
policy-making and more widely to the international community through
conferences and peer-reviewed journals.'
affiliation: 'Gathara, D (Corresponding Author), Kenya Govt Med Res Ctr, Dept Publ
Hlth Res, Wellcome Trust Res Programme, Nairobi, Kenya.
Gathara, David; Serem, George; Murphy, Georgina A. V.; Abuya, Nancy; English, Mike,
Kenya Govt Med Res Ctr, Dept Publ Hlth Res, Wellcome Trust Res Programme, Nairobi,
Kenya.
Murphy, Georgina A. V.; English, Mike, Univ Oxford, Nuffield Dept Med, Oxford, England.
Murphy, Georgina A. V.; English, Mike, Univ Oxford, Dept Paediat, Oxford, England.
Abuya, Nancy, Nairobi City Cty, Dept Curat \& Preventat Serv, Nairobi, Kenya.
Kuria, Rose, Kenya Med Training Coll, Dept Nursing, Nairobi, Kenya.
Tallam, Edna, Nursing Council Kenya, Dept Registrat \& Licensing, Nairobi, Kenya.'
article-number: e022020
author: Gathara, David and Serem, George and Murphy, Georgina A. V. and Abuya, Nancy
and Kuria, Rose and Tallam, Edna and English, Mike
author-email: DGathara@kemri-wellcome.org
author_list:
- family: Gathara
given: David
- family: Serem
given: George
- family: Murphy
given: Georgina A. V.
- family: Abuya
given: Nancy
- family: Kuria
given: Rose
- family: Tallam
given: Edna
- family: English
given: Mike
da: '2023-09-28'
doi: 10.1136/bmjopen-2018-022020
files: []
issn: 2044-6055
journal: BMJ OPEN
keywords: neonatology
keywords-plus: 'QUALITY EVALUATION; LEFT UNDONE; HOSPITALS; COUNTRIES; HEALTH; PATTERNS;
WEEKEND; DEATHS; NURSES'
language: English
month: SEP
number: '7'
number-of-cited-references: '38'
orcid-numbers: Gathara, David/0000-0002-0958-0713
papis_id: cca50ea7d5eb992e27f177619ca0737e
ref: Gathara2018quantifyingnursing
times-cited: '7'
title: 'Quantifying nursing care delivered in Kenyan newborn units: protocol for a
cross-sectional direct observational study'
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000446181900181
usage-count-last-180-days: '0'
usage-count-since-2013: '4'
volume: '8'
web-of-science-categories: Medicine, General \& Internal
year: '2018'