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Water Sanitation and Hygiene, and Antibiotics Stewardship in Kenyan Hospitals, 2017-2019
Creator
English, M, University of Oxford
Maina, M, KEMRI Wellcome Trust Research Programme
Study number / PID
854828 (UKDA)
10.5255/UKDA-SN-854828 (DOI)
Data access
Open
Series
Not available
Abstract
This work was carried in Kenyan public hospital the main aim was to assess hospitals Infection Prevention and Control (IPC) and Antibiotic Stewardship(ABS) capacity as part of tracking and tackling efforts to limit antimicrobial resistance in Kenya. We redesigned an existing WASH facility improvement tool to collect data across 16 county hospitals with a total of 116 wards. There were 65 indicators in 4 domains used for this assessment that is 14 indicators for water, Sanitation 22 indicators, hygiene 18 indicators and 11 for organisational management domain. 32 of these indicators were also assessed at ward level. Addition modifications on the tool allowed us to contrast performance by assessing infrastructural, material and human resources to support WASH services, We the WASH facility tool to to allocate responsibilities at a more health systems level allowing for different levels of hospital leadership to be accountable for the implementation and subsequent improvement of WASH in hospitals.
Antibiotic Stewardship -
We examined prescription patterns and explored to what extent guidelines are available and how they might influence treatment appropriateness in Kenya. Data on antimicrobial usage were collected from hospitalised patients using a point prevalence survey across 14 Kenyan public hospitals spanning antimicrobials prescribed, laboratory investigations, clinical diagnoses and physical availability of treatment guidelines.Global under-5 deaths have halved in the last 20 years(1). However, reduction in the neonatal mortality rate has lagged greatly behind other advances, and now contributes over 40% of all child mortality in many countries (1). Yet, prior research in low and middle income countries (LMICs) suggests sick newborns often do not receive the interventions they need to ensure their disability free survival.
Infections are estimated to cause 40% of all neonatal deaths in LMICs (2), where the burden health care-associated infections (HCAIs)...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2017 - 30/06/2019
Country
Kenya
Time dimension
Not available
Analysis unit
Other
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The WASH assessment was carried out at ward level and at facility level in a sample of 16 public hospitals in Kenya. The selection of these hospitals was purposeful and based on links developed from ongoing work to improve clinical information as part of a collaboration between the Kenya Medical Research Institute -Wellcome Trust Research Programme and the Ministry of Health. The data collection tool was the Water Sanitation and Hygiene Facility Improvement tool (WASH FIT) developed by the World Health Organization. The assessment included inpatient wards in the paediatric, medical, surgical and neonatal departments but excluded units not present in all hospitals (i.e. critical care, Ear Nose and Throat (ENT), eye, renal and psychiatric units). In each eligible ward, ward assessment forms were completed. Once these ward level inspections were complete, there was an inspection of the entire facility, including the laundry, kitchen, outpatient areas and the external environment. At facility level, there were a total of 65 WASH indicators to be assessed spread across 4 domains. Each indicator was assessed by direct observation and the score determined by team consensus on a three-point scale (meets = 2, partially meets = 1, or does not meet = 0 the required standard).At ward level, 34 of the 65 indicators were assessed and scored with the same three point system. Through a process of stakeholder engagement, each of the 65 indicators was assigned toone of three persons/groups who would be responsible to improve these indicators. These are the county government, Hospital Management or the hospital infection prevention and control committee.Antibiotics StewardshipPatient-Level Data collection At the patient level, data were collected on the patients' age, sex, weight, hospital department, date of admission or of surgery in the case of surgical patients, date of survey and diagnoses. For the diagnosis, there were a total of 46 possible options provided, 45 of these were categorised by the anatomical system involved. Data are provided on the antimicrobial type, posology, start and stop dates among others. Microbiology, antibiotic susceptibility and biomarker (C-reactive protein; procalcitonin or other) test results used to inform the diagnosis and treatment choice, were also collected for each patient where available.
Funding information
Grant number
ES/P004938/1
Access
Publisher
UK Data Service
Publication year
2021
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.