Version Changes
Revised. Amendments from Version 1
Reviewers' minor comments (from Kathy Burgoine and Fatima Gohar) have been addressed:
Results - admission policies text has been updated to reflect the information provided in table 1. Specifically, 7 (not 8 as in version 1) of 12 hospitals admit referred neonates to their newborn units (NBU).
Discussion - the discussion has been expanded to clarify the lack of national policy on neonatal admissions in Kenya and to discuss the mortality results found on NBUs and paediatric wards.
Throughout the manuscript, 'newborn' has been changed to 'neonate'.
Abstract
Background: Small and sick newborns need high quality specialised care within health facilities to address persistently high neonatal mortality in low-income settings, including Kenya.
Methods: We examined neonatal admissions in 12 public-sector County (formerly District) hospitals in Kenya between November 2014 and November 2016. Using data abstracted from newborn unit (NBU) admission registers and paediatric ward (PW) medical records, we explore the magnitude and distribution of admissions. In addition, interviews with senior staff were conducted to understand admission policies for neonates in these facilities.
Results: Of the total 80,666 paediatric admissions, 28,884 (35.8%) were aged ≤28 days old. 24,212 (83.8%) of neonates were admitted to organisationally distinct NBUs and 4,672 (16.2%) to general PWs, though the proportion admitted to NBUs varied substantially (range 59.9-99.0%) across hospitals, reflecting widely varying infrastructure and policies. Neonatal mortality was high in NBUs (12%) and PWs (11%), though varied widely across facilities, with documentation of outcomes poor for the NBUs.
Conclusion: Improving quality of care on NBUs would affect almost a third of paediatric admissions in Kenya. However, comprehensive policies and strategies are needed to ensure sick neonates on general PWs also receive appropriate care.
Keywords: Newborn health, neonatal care, paediatrics, newborn mortality, small and sick newborns, facility-based care, Kenya, Africa, low-resourced settings, global health
Introduction
Access to basic but high quality inpatient neonatal services for small and sick newborns will be key if progress is to be made in reducing neonatal mortality in low- and middle-income countries (LMICs) 1, 2. Care should ideally be in a newborn unit (NBU) with specialised equipment and staff providing interventions such as feeding and respiratory support and phototherapy 2, 3. However, evidence from single-site studies in Kenya and other resource-limited settings suggests that neonates are often admitted to general paediatric wards (PWs) due, among other reasons, to limited space and resources within the NBU 4, 5. Little is quantitatively known about this neonatal population, neither their magnitude nor characteristics, due to poor information systems 6– 8. This hidden population of neonatal patients may not benefit from specialised care or quality improvement efforts and may be missed in national statistics used to inform policy and planning.
We set out to explore the burden of neonatal admissions and the distribution of these admissions between NBUs and PWs across 12 County (formerly District) hospitals in Kenya. We further explored what might influence where care is provided for neonates in these hospitals. Our aim is to provide preliminary data to inform thinking on how best to organise comprehensive neonatal services in Kenya and potentially other LMICs.
Box 1.
What is already known about this topic?
Inpatient care in a specialised environment is important in efforts to reduce persistently high neonatal mortality in low-income settings.
Single sites studies suggest that neonates can make up a high proportion of total paediatric admissions to hospitals in Kenya.
Anecdotal evidence suggests neonates are sometimes admitted to general paediatric wards where they may receive less specialised care.
What does this add?
Across 12 Kenyan County hospitals neonates admissions represented over a third of all paediatric admissions and 16.2% of neonates admissions were to paediatric wards.
Little consistency was observed in admission policies across these large public sector hospitals, though most hospitals had a policy of admitting newborns from the community to the paediatric ward rather than the newborn unit. The physical infrastructure of a hospital may influence their admission policies.
Clearer agreement on the best way to organise neonatal services is needed to ensure small and sick newborns receive care in the most appropriate setting with access to specialised services.
Methods
This study was conducted across 12 County (formerly District) hospitals in Kenya, which form part of the Clinical Information Network (CIN) 9, 10. Data abstracted from medical records for all admissions to the PW between 1st November 2014 and 30th November 2016 were included in the study. Procedures for such data collection have been previously described 9, 10. Additionally, information about admissions to the NBU was retrospectively abstracted from admission registers at each hospital for the same time period by the same data clerks during February-June 2017. All data entry followed strict standard operating procedures and employed purpose-designed standardised data capture tools created in REDCap. Inbuilt range and validity checks and pre-designed cleaning scripts were run daily and weekly, respectively, on aggregate data with corrections made, where possible, by referring back to source documents.
Information on admission policies for neonatal patients was obtained through telephone discussions with the nurse in charge and paediatrician at each health facility in April 2017 ( Supplementary File 1).
Data analysis was conducted in R statistical software version 3. Neonates were defined as patients aged ≤28 days old.
Ethical statement
Scientific and ethical approval for the study was obtained from the Kenya Medical Research Institute National Scientific and Ethical Review Boards (SERU protocol number 3459), and study hospitals provided assent for inclusion of their data in the study.
Results
A total of 80,944 children and neonates were admitted, 56,732 to the PW and 24,212 to the NBU, between 1st November 2014 and 30th November 2016 in the 12 County hospitals. After exclusion of the 278 PW admissions with no recorded age, 80,666 (99.7%) admissions were included in this analysis. Figure 1 describes the distribution of these admissions for each hospital by patient group (neonate or older child) and ward (NBU or PW).
Figure 1. Neonatal and paediatric admissions to newborn units (NBU) and paediatric wards (PW) in County hospitals in Kenya, as a proportion of total paediatric admissions.
Neonatal admissions
The total number of neonatal admissions to the 12 County hospitals was 28,884, representing 35.8% of all paediatric admissions; 83.8% (n=24,212) were admitted to NBUs and 16.2% (n=4,672) to PWs. The number of neonates admitted to PWs as a proportion of total neonatal admissions ranged from 1.0% (H10:11/1,152) to 40.1% (H3:987/2,459). Neonates accounted for 8.3% (4,672/56,454) of admissions to PWs. This proportion ranged from 0.2% (H10:11/5606) to 20.4% (H2:750/3,685).
Among neonatal patients admitted to PWs, mortality was 11.1% (519/4,672); 4.9% (229/4,672) were referred and the remaining 84.0% (3,924/4,672) were discharged home. Outcome was reported for only 69.0% (16,699) of patients admitted to NBUs. Of those with a recorded outcome, mortality was 12.3% (2,052/16,699), 2.1% (347/16,699) were referred, and 85.6% (14,289/16,699) were discharged home.
Admission policies
Only nine of the 12 hospitals reported having a policy on admitting neonates to their PWs ( Table 1). The three hospitals that reported only admitting neonates to their NBUs, reported having a cubicle in the NBU for isolation of sick neonates from the community (‘outborn’ ─either born at home or discharged home after birth). All other facilities reported admitting outborn newborns to the PW or in two cases (H4&H7) admitting this group to either the PW or NBU depending on their age and illness. Neonates born preterm (<36 weeks of gestational age) who required admission from the community were admitted to NBUs in most hospitals ( Table 1). Neonates who were referred from other hospitals were admitted to NBUs in 7/12 hospitals and to the PW in 2/12 hospitals. Admission of referred neonates depended on their age and condition in a further two hospitals. For example, in one hospital (H2) referred neonates who were diagnosed with sepsis were admitted to the PW and those without sepsis were admitted to NBU.
Table 1. Admission patterns of neonates across different hospitals.
| Physical
size of NBU |
Location of
NBU |
Neonates on
PW |
Inborn | Out-born/
Readmissions |
Out-born
& preterm |
Referred | |
|---|---|---|---|---|---|---|---|
| H1 | Large | Designated | Separate room | NBU | PW | PW/NBU ƚ | NBU |
| H2 | Large | Designated | All children
<1 year in separate room |
NBU | PW | NBU | PW/NBU § |
| H3 | Small | In PW | Separate room | NBU | PW | REFER | NBU |
| H4 | Large | Designated | Cubicle | NBU | PW/NBU * | PW/NBU * | PW/NBU * |
| H5 | Medium | Designated
with isolation room |
Mixed with
older children |
NBU | NBU | NBU | NBU |
| H6 | Small | In maternity | Mixed with
older children |
NBU | PW | NBU | NA |
| H7 | Large | Designated | Mixed with
older children |
NBU | PW/NBU ** | NBU | NBU |
| H8 | Small | In maternity | Mixed with
older children |
NBU | PW | REFER | PW |
| H9 | Large | Designated | Separate room | NBU | PW | PW | PW |
| H10 | Medium | Designated | Mixed with
older children |
NBU | NBU | NBU | NBU |
| H11 | Small | In maternity | Mixed with
older children |
NBU | NBU | NBU | NBU |
| H12 | Large | Designated | Mixed with
older children |
NBU | PW | NBU | NBU |
Inborn: Neonates born within the admitting hospital; Out-born: Neonates not born within the admitting hospital; Referred: Neonates referred from other hospitals; NBU : Routinely admitted to the newborn unit; PW: Routinely admitted to the paediatric ward; PW/NBU: Routinely admitted to either paediatric ward or newborn unit; REFER: Not admitted, instead referred to other hospitals; NA: Not applicable
* All neonates who were more than 10 days old on the day of admission were admitted to PW unless they had jaundice; ** All neonates from the community who were more than 24 hours old at admission were admitted to PW apart from preterm neonates; ƚ Ward admission depended on the admitting clinician; § Referred neonates who were diagnosed with sepsis were admitted to the PW and those without sepsis were admitted to NBU
Organisation of care
A relationship between the physical layout and infrastructure of the NBU and PW and the distribution of newborns between the two wards was observed. Hospitals (n=4) with a medium-large designated NBU ( Table 1) admitted fewer (12.5%) neonates to the PW compared with hospitals (n=8) where the NBU was small and part of the maternity ward or PW (22.0%). However, there was little consistency of reported admission policy based on physical layout of the PW and NBU ( Table 1).
Discussion
Our study describes, for the first time, neonatal admissions to both NBUs and PWs across a network of public hospitals that would typically be the first referral level for women with complicated pregnancies or for sick or preterm neonates in Kenya. On average, 35.8% of all paediatric admissions were aged ≤28 days and 16.2% of these neonates were admitted to PWs. Previous reports suggest that neonates are making up an increasing proportion of paediatric admissions in Kenya, yet important quality gaps exist for this patient group 11, 12.
The practice of admitting neonatal patients to PWs is anecdotally described in healthcare settings internationally. However, the contribution of this patient group to overall neonatal and paediatric admissions is not well described in the literature. Where research has been conducted within resource-limited healthcare environments, concerns have been raised about the quality of care that neonates receive in this non-specialised paediatric setting where care may focus on the needs of older patient groups 4, 5. As part of efforts to address the persistently high mortality among neonates in low-income countries, it will be important to ensure that small and sick newborns are receiving care in the most appropriate setting with access to specialised staff and equipment 1, 3.
We observed inconsistencies in admission practices across hospitals related, at least in part, to the existing physical capacity and organisation of neonatal services. System-wide efforts to improve neonatal care could benefit from developing standardised policies, linking this to infrastructure and staff planning. Despite a recent effort to gain consensus among stakeholders on major neonatal conditions for admission to Kenyan hospitals 13, there is currently an absence of written policy in many facilities on when and where to admit, refer, or discharge neonates. It was observed that hospitals tended to admit outborn patients to PWs rather than NBUs. This is likely linked to infection prevention and control efforts. However, no formal policy on such an approach can be found for Kenya and some outborn newborns, specifically preterm newborns, are nonetheless often admitted to NBUs.
Our study finds that hospitals with larger designated NBUs were less likely to admit neonates to the PW. One option to ensure neonates access specialised care, while also limiting infection, is to expand the capacity of NBUs to appropriately accommodate older and outborn neonates. However, NBUs in public sector hospitals in Kenya currently struggle with overcrowding and high patient to nurse ratios 12. Hence, such a policy would require strategic investment in space, including isolation rooms, and specific staff for different patient groups in many settings. Additional space and staff may also be required to accommodation kangaroo mother care services, which are now recommended for all newborns <2000g in Kenya. If consolidating neonatal care within NBU is not the preferred option then similar investments will be needed to make PWs more appropriate for neonatal care.
We report similar neonatal mortality for NBUs and PWs (12.3% and 11.1%, respectively) in this study. These rates should, however, be interpreted with caution given the large degree of missing data from NBUs. It is possible that a considerable amount of neonatal mortality is missing due to failure to record outcomes in NBU admission registers for almost a third of patients. Previous studies of neonatal admissions to PWs in sub-Saharan Africa have found mortality rates as high as 20.3% and 31.5% 4, 5. It is expected that neonates receiving less specialised care on PWs may have worse outcomes than those admitted to specialised NBUs. Our study has shown, however, that a simple comparison of mortality on PWs and NBUs is not a fair one given the difference in admission policies for neonates to these two wards. In particular, neonates admitted to NBUs tend to be considerably younger and more likely to be preterm births; hence, increasing their risk of mortality by comparison to their older term-born counterparts in PWs.
A limitation of our study is that information on admission policies was not collected during the same timeframe as admissions data. However, we do not expect that policies would have changed since the data collection period. Outcome data were missing for 31% of NBU admissions. Our estimates of mortality must, therefore, be interpreted cautiously. This may also signal wider problems with NBU admission data; missing data on admissions would result in us underestimating the total burden of neonatal admissions.
Conclusion
Neonatal patients, a vulnerable patient group, represent 36% of all paediatric admissions. A substantial proportion are admitted to PWs, where there may be challenges of delivering quality care. Reducing neonatal morbidity and mortality is likely to benefit from a comprehensive long-term strategy spanning the organisation and resourcing of appropriate services that goes beyond local quality improvement efforts.
Data availability
The source data are owned by the Kenyan Ministry of Health, County Governments and as the data might be used to de-identify hospitals the study authors are not permitted to share the source data directly. Users who wish to reuse the source data are able to make a request initially through the KEMRI-Wellcome Trust Research Programme data governance committee. This committee will supply contact information for the KEMRI Scientific and Ethical Review unit, County Governments and individual hospitals as appropriate. The KEMRI-Wellcome Trust Research Programme data governance committee can be contacted on: dgc@kemri-wellcome.org
Acknowledgements
Clinical Information Network authors: Samuel Akech, Philip Ayieko, Grace Imiru, Mercy Chepkirui, Timothy Tuti, Michael Bitok, Lucas Malla, Naomi Muinga, Susan Gachau, George Mbevi, Wycliffe Nyachiro, Morris Ogero, Thomas Julius at KEMRI Wellcome Trust Research Programme (KWTRP) developed the CIN approach and database tools. The CIN authors who contributed to the conduct of the work, collection of data, and data quality assurance include: Rachel Nyamai (Ministry of Health), Fred Were (University of Nairobi), Priscillah Oweso (Vihiga County Hospital), Ernest Namayi (Mbale Rural Health and Demonstration Centre), Samuael Soita (Kakamega Provincial General Hospital), Joseph Nganga (Mbagathi District Hospital), Edward Ngugi and Margaret Waweru (Kiambu County Hospital), Esther Mwangi (Mama Lucy Kibaki Hospital), Caroline Mwari, Esther Muthiani (Machakos Level 5 Hospital), Julian M. Ndungu (Nyeri Level 5 hospital), Larry Mwalo (Kisumu East District Hospital), Pauline W. Njeru (Embu Provincial General Hospital), Consolata Kinyua (Karatina District Hospital), Mary Nguri (Kerugoya District Hospital), Susan Wanjala (Busia District Hospital) and Jane Mokua (Kitale District Hospital).
Funding Statement
This work was supported by the Wellcome Trust [097170], to ME; and a Health Systems Research Initiative joint grant provided by: the Department for International Development, UK, Economic and Social Research Council, Medical Research Council, and the Wellcome Trust, grant number MR/M015386/1.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
[version 2; referees: 2 approved]
Supplementary material
Supplementary File 1: Calling script.
References
- 1. Moxon SG, Lawn JE, Dickson KE, et al. : Inpatient care of small and sick newborns: a multi-country analysis of health system bottlenecks and potential solutions. BMC Pregnancy Childbirth. 2015;15 Suppl 2:S7. 10.1186/1471-2393-15-S2-S7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Bhutta ZA, Das JK, Bahl R, et al. : Can available interventions end preventable deaths in mothers, newborn babies, and stillbirths, and at what cost? Lancet. 2014;384(9940):347–70. 10.1016/S0140-6736(14)60792-3 [DOI] [PubMed] [Google Scholar]
- 3. World Health Organization: Standards for improving quality of maternal and newborn care in health facilities. Gevena, Switzerland,2016. Reference Source [Google Scholar]
- 4. Simiyu DE: Morbidity and mortality of neonates admitted in general paediatric wards at Kenyatta National Hospital. East Afr Med J. 2003;80(12):611–6. 10.4314/eamj.v80i12.8776 [DOI] [PubMed] [Google Scholar]
- 5. Okposio MM, Ighosewe OI: Morbidity and mortality pattern among neonates admitted to the general paediatric ward of a secondary health care centre in the Niger delta region of Nigeria. Sri Lanka Journal of Child Health. 2016;45(2):84–9. 10.4038/sljch.v45i2.7981 [DOI] [Google Scholar]
- 6. Aluvaala J, Okello D, Murithi G, et al. : Delivery outcomes and patterns of morbidity and mortality for neonatal admissions in five Kenyan hospitals. J Trop Pediatr. 2015;61(4):255–9. 10.1093/tropej/fmv024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Kihuba E, Gathara D, Mwinga S, et al. : Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya. Glob Health Action. 2014;7(1):24859. 10.3402/gha.v7.24859 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Moxon SG, Ruysen H, Kerber KJ, et al. : Count every newborn; a measurement improvement roadmap for coverage data. BMC Pregnancy Childbirth. 2015;15 Suppl 2:S8. 10.1186/1471-2393-15-S2-S8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Ayieko P, Ogero M, Makone B, et al. : Characteristics of admissions and variations in the use of basic investigations, treatments and outcomes in Kenyan hospitals within a new Clinical Information Network. Arch Dis Child. 2016;101(3):223–9. 10.1136/archdischild-2015-309269 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Tuti T, Bitok M, Malla L, et al. : Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals. BMJ Glob Health. 2016;1(1):e000028. 10.1136/bmjgh-2016-000028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Mwaniki MK, Gatakaa HW, Mturi FN, et al. : An increase in the burden of neonatal admissions to a rural district hospital in Kenya over 19 years. BMC Public Health. 2010;10:591. 10.1186/1471-2458-10-591 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Aluvaala J, Nyamai R, Were F, et al. : Assessment of neonatal care in clinical training facilities in Kenya. Arch Dis Child. 2015;100(1):42–7. 10.1136/archdischild-2014-306423 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Murphy GAV, Waters D, Ouma PO, et al. : Estimating the need for inpatient neonatal services: an iterative approach employing evidence and expert consensus to guide local policy in Kenya. BMJ Glob Health. 2017;2(4):e000472. 10.1136/bmjgh-2017-000472 [DOI] [PMC free article] [PubMed] [Google Scholar]

