Evidence map›Paper›PMID 36195863›Full record

ArticleBMC health services research2022

Evaluating the effects of supplementing ward nurses on quality of newborn care in Kenyan neonatal units: protocol for a prospective workforce intervention study.

Abdulazeez Imam, David Gathara, Jalemba Aluvaala, Michuki Maina, Mike English

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

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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

5 authors.

Abdulazeez ImamHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya. abdulimam2001@yahoo.com.ORCID http://orcid.org/0000-0001-5070-3060
David GatharaHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Jalemba AluvaalaHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Michuki MainaHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Mike EnglishHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.

Funding

Wellcome Trust 092654Wellcome Trust 207522Wellcome Trust 207522/Z/17/Z
6 · The paper itself

Abstract

backgroundData from High Income Countries have now linked low nurse staff to patient ratios to poor quality patient care. Adequately staffing hospitals is however still a challenge in resource-constrained Low-middle income countries (LMICs) and poor staff-to-patient ratios are largely taken as a norm. This in part relates to limited evidence on the relationship between staffing and quality of patient care in these settings and also an absence of research on benefits that might occur from improving hospital staff numbers in LMICs. This study will determine the effect on the quality of patient care of prospectively adding extra nursing staff to newborn units in a resource constrained LMIC setting and describe the relationship between staffing and quality of care.

methodsThis prospective workforce intervention study will involve a multi-method approach. We will conduct a before and after study in newborn units of 4 intervention hospitals and a single time-point comparison in 4 non-intervention hospitals to determine if there is a change in the level of missed nursing care, a process measure of the quality of patient care. We will also determine the effect of our intervention on routinely collected quality indicators using interrupted time series analysis. Using three nurse staffing metrics (Total nursing hours, nursing hours per patient day and nursing hours per patient per shift), we will describe the relationship between staffing and the quality of patient care. DISCUSSION: There is an urgent need for the implementation of staffing policies in resource constrained LMICs that are guided by relevant contextual data. To the best of our knowledge, this is the first study to evaluate the prospective addition of nursing staff in resource-constrained care settings. Our findings are likely to provide the much-needed evidence for better staffing in these settings.

trial registrationThis study was retrospectively registered in the Pan African Clinical Trial Registry ( https://pactr.samrc.ac.za/Default.aspx?Logout=True ) database on the 10th of June 2022 with a unique identification number-PACTR202206477083141.

Indexed as

Nursing Staff, HospitalPersonnel Staffing and SchedulingHospitalsHumansInfant, NewbornKenyaProspective StudiesWorkforceHealth systems strengtheningHuman Resources for HealthMissed nursing careNewborn unitsNursing staffQuality of care

Identifiers

PMID36195863
PMCPMC9530438

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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.