Uptake of Best-Practice Recommendations for Management of Acutely Ill Children Admitted in Kenyatta National Hospital: A Longituinal Study Employing Participatory Research in a Complex Environment

The need for improving practice in low-income settings has been demonstrated in recent research assessing the quality of hospital care. Consequently, the Ministry of Health developed clinical practice guidelines and an evidenced-based programme for their dissemination. This thesis explored what factors influence the uptake of the best-practice recommendations in a university teaching hospital. This thesis used a mixed methods research approach that utilized a before and after design and participatory action research. This approach recognizes that health recommendations are compiled for universal use, but that their successful implementation requires particular attention to the individual and complex socio-political contexts of each setting, both at the micro and -macro level, which in this case was the Kenyatta National Hospital (KNH). This thesis is supported by eighteen months of participant observation, based on ethnographic research methodology and action research. Patients' care was largely inconsistent with best-practice recommendations, with nine of the 17 key indicators having performance of below 10% in the pre-intervention period. The intervention had an absolute effect size of over 20% in eight of the 17 key indicators; three of which had an effect size of over 50%. The indicators that required collective efficacy achieved performance of less than 10% in the post-intervention period. The activities during the action research component failed to predict the trend in practitioners' performance, illustrating the difficulty of gaining a holistic understanding of the quantitative results using component parts of the qualitative results as the lens. The notion of professionalism provided an overarching understanding of the implementation process. There were clear gaps between the stated values espoused in the ideal of professionalism and the observed actions of professionals in KNH. Gaps spanned knowledge management, expertise and skills, teamwork, conscientiousness and patient centeredness. I attributed the gaps in professionalism to complexity of professional development

Audit of care of severely malnourished children aged 6 - 59 months at Al-Sabah Children Hospital, Juba, South Sudan

Background: Malnutrition is a critical public health concern in South Sudan where an estimated 200,000 children aged under five years are at risk of being malnourished. Studies have shown that adequate and timely treatment of these children leads to reduced mortality.Objective: To determine the proportion of children aged 6 – 59 months diagnosed with severe acute malnutrition (SAM) who were appropriately managed according to World Health Organization (WHO) guidelines.Methods: A short hospital-based prospective longitudinal survey of children  admitted with a diagnosis of SAM to Al Sabah hospital, Juba. One hundred children were enrolled.Results: Overall, 49% of children had marasmus and tended to be older than those who had kwashiorkor. Common comorbidities at admission were malaria (42%) and gastroenteritis (39%). Of the eight steps of care evaluated, five steps were correctly followed in more than 70% of cases. The proportion of children  appropriately managed were 77% in step 1, 59% in step 2, 85.4% in step 3, 98% in step 4, 58% in step 5, 6. 97% in step 7 and 86% in step 8.Conclusion: Adherence to the WHO guidelines for treating SAM in this center was moderate. Key words: Malnutrition, severe acute malnutrition, audi

Predictors of loss to follow-up among children attending HIV clinic in a hospital in rural Kenya

Introduction: African studies have reported high rates of loss to follow up (LTFU) among children in HIV care and treatment centres. Factors associated with LTFU may vary across populations. Few studies have been conducted among HIV infected children in care in rural areas of Kenya. Methods: this involved children aged less than 15 years on follow up at Kangundo Level 4 Hospital HIV clinic from January 2010 to December 2015. We obtained sociodemographic and clinical information from patient files and electronic databases. Univariate and multivariate regression analyses were conducted to identify factors predictive of LTFU. Results: a total of 261 HIV-infected children were followed up. The mean age was 10.0 years (IQR, 7-13) and median CD4 count of 582cells/ul (IQR 314-984). By December 2015, 171 children (65.5%) remained in active care, 32 (12.3%) transferred out, 13 (5%) died, while 45 (17.2%) were classified as LTFU. Out of the 45 children presumed as LTFU, we traced 44 out of the 45 children (98%) and found that their actual current status was as follows: 33 of the 44 children (75.0%) had dropped out of care (true LTFU). Factors strongly predictive of LTFU included low caregiver level of education (HR 2.3, 1.9-3.9, P = 0.001), WHO stage I and II at enrolment (HR 1.6, 1.4-2.1, P = 0.05). Conclusion: LTFU of HIV infected children was common with an incidence of 32.9 per 1000 child years and occurred early in treatment and risk factors included poverty, low caregiver education, male child and early HIV disease stage

Risk factors for death among children aged 5-14 years hospitalised with pneumonia: a retrospective cohort study in Kenya.

INTRODUCTION: There were almost 1 million deaths in children aged between 5 and 14 years in 2017, and pneumonia accounted for 11%. However, there are no validated guidelines for pneumonia management in older children and data to support their development are limited. We sought to understand risk factors for mortality among children aged 5-14 years hospitalised with pneumonia in district-level health facilities in Kenya. METHODS: We did a retrospective cohort study using data collected from an established clinical information network of 13 hospitals. We reviewed records for children aged 5-14 years admitted with pneumonia between 1 March 2014 and 28 February 2018. Individual clinical signs were examined for association with inpatient mortality using logistic regression. We used existing WHO criteria (intended for under 5s) to define levels of severity and examined their performance in identifying those at increased risk of death. RESULTS: 1832 children were diagnosed with pneumonia and 145 (7.9%) died. Severe pallor was strongly associated with mortality (adjusted OR (aOR) 8.06, 95% CI 4.72 to 13.75) as were reduced consciousness, mild/moderate pallor, central cyanosis and older age (>9 years) (aOR >2). Comorbidities HIV and severe acute malnutrition were also associated with death (aOR 2.31, 95% CI 1.39 to 3.84 and aOR 1.89, 95% CI 1.12 to 3.21, respectively). The presence of clinical characteristics used by WHO to define severe pneumonia was associated with death in univariate analysis (OR 2.69). However, this combination of clinical characteristics was poor in discriminating those at risk of death (sensitivity: 0.56, specificity: 0.68, and area under the curve: 0.62). CONCLUSION: Children >5 years have high inpatient pneumonia mortality. These findings also suggest that the WHO criteria for classification of severity for children under 5 years do not appear to be a valid tool for risk assessment in this older age group, indicating the urgent need for evidence-based clinical guidelines for this neglected population

Health service quality in 2929 facilities in six low-income and middle-income countries: a positive deviance analysis

BACKGROUND: Primary care is of insufficient quality in many low-income and middle-income countries. Some health facilities perform better than others despite operating in similar contexts, although the factors that characterise best performance are not well known. Existing best-performance analyses are concentrated in high-income countries and focus on hospitals. We used the positive deviance approach to identify the factors that differentiate best from worst primary care performance among health facilities across six low-resource health systems. METHODS: This positive deviance analysis used nationally representative samples of public and private health facilities from Service Provision Assessments of the Democratic Republic of the Congo, Haiti, Malawi, Nepal, Senegal, and Tanzania. Data were collected starting June 11, 2013, in Malawi and ending Feb 28, 2020, in Senegal. We assessed facility performance through completion of the Good Medical Practice Index (GMPI) of essential clinical actions (eg, taking a thorough history, conducting an adequate physical examination) according to clinical guidelines and measured with direct observations of care. We identified hospitals and clinics in the top decile of performance (defined as best performers) and conducted a quantitative, cross-national positive deviance analysis to compare them with facilities performing below the median (defined as worst performers) and identify facility-level factors that explain the gap between best and worst performance. FINDINGS: We identified 132 best-performing and 664 worst-performing hospitals, and 355 best-performing and 1778 worst-performing clinics based on clinical performance across countries. The mean GMPI score was 0.81 (SD 0.07) for the best-performing hospitals and 0.44 (0.09) for the worst-performing hospitals. Among clinics, mean GMPI scores were 0.75 (0.07) for the best performers and 0.34 (0.10) for the worst performers. High-quality governance, management, and community engagement were associated with best performance compared with worst performance. Private facilities out-performed government-owned hospitals and clinics. INTERPRETATION: Our findings suggest that best-performing health facilities are characterised by good management and leaders who can engage staff and community members. Governments should look to best performers to identify scalable practices and conditions for success that can improve primary care quality overall and decrease quality gaps between health facilities. FUNDING: Bill & Melinda Gates Foundation

Developing and testing a clinical care bundle incorporating caffeine citrate to manage apnoea of prematurity in a resource-constrained setting: a mixed methods clinical feasibility study protocol

Background Apnoea of prematurity (AOP) is a common condition among preterm infants. Methylxanthines, such as cafeine and aminophylline/theophylline, can help prevent and treat AOP. Due to its physiological benefts and fewer side efects, cafeine citrate is recommended for the prevention and treatment of AOP. However, cafeine citrate is not available in most resource-constrained settings (RCS) due to its high cost. Challenges in RCS using caffeine citrate to prevent AOP include identifying eligible preterm infants where gestational age is not always known and the capability for continuous monitoring of vital signs to readily identify apnoea. We aim to develop an evidencebased care bundle that includes cafeine citrate to prevent and manage AOP in tertiary healthcare facilities in Kenya. Methods This protocol details a prospective mixed-methods clinical feasibility study on using cafeine citrate to manage apnoea of prematurity in a single facility tertiary-care newborn unit (NBU) in Nairobi, Kenya. This study will include a 4-month formative research phase followed by the development of an AOP clinical-care-bundle prototype over 2 months. In the subsequent 4 months, implementation and improvement of the clinical-care-bundle prototype will be undertaken. The baseline data will provide contextualised insights on care practices within the NBU that will inform the development of a context-sensitive AOP clinical-care-bundle prototype. The clinical care bundle will be tested and refned further during an implementation phase of the quality improvement initiative using a PDSA framework underpinned by quantitative and qualitative clinical audits and stakeholders’ engagement. The quantitative component will include all neonates born at gestation age\u3c34 weeks and any neonate prescribed aminophylline or cafeine citrate admitted to the NBU during the study period. Discussion There is a need to develop evidence-based and context-sensitive clinical practice guidelines to standardise and improve the management of AOP in RCS. Concerns requiring resolution in implementing such guidelines include diagnosis of apnoea, optimal timing, dosing and administration of cafeine citrate, standardisation of monitoring devices and alarm limits, and discharge protocols. We aim to provide a feasible standardised clinical care bundle for managing AOP in low and middle-income setting

An intervention to improve paediatric and newborn care in Kenyan district hospitals: Understanding the context

BACKGROUND: It is increasingly appreciated that the interpretation of health systems research studies is greatly facilitated by detailed descriptions of study context and the process of intervention. We have undertaken an 18-month hospital-based intervention study in Kenya aiming to improve care for admitted children and newborn infants. Here we describe the baseline characteristics of the eight hospitals as environments receiving the intervention, as well as the general and local health system context and its evolution over the 18 months. METHODS: Hospital characteristics were assessed using previously developed tools assessing the broad structure, process, and outcome of health service provision for children and newborns. Major health system or policy developments over the period of the intervention at a national level were documented prospectively by monitoring government policy announcements, the media, and through informal contacts with policy makers. At the hospital level, a structured, open questionnaire was used in face-to-face meetings with senior hospital staff every six months to identify major local developments that might influence implementation. These data provide an essential background for those seeking to understand the generalisability of reports describing the intervention's effects, and whether the intervention plausibly resulted in these effects. RESULTS: Hospitals had only modest capacity, in terms of infrastructure, equipment, supplies, and human resources available to provide high-quality care at baseline. For example, hospitals were lacking between 30 to 56% of items considered necessary for the provision of care to the seriously ill child or newborn. An increase in spending on hospital renovations, attempts to introduce performance contracts for health workers, and post-election violence were recorded as examples of national level factors that might influence implementation success generally. Examples of factors that might influence success locally included frequent and sometimes numerous staff changes, movements of senior departmental or administrative staff, and the presence of local 'donor' partners with alternative priorities. CONCLUSION: The effectiveness of interventions delivered at hospital level over periods realistically required to achieve change may be influenced by a wide variety of factors at national and local levels. We have demonstrated how dynamic such contexts are, and therefore the need to consider context when interpreting an intervention's effectiveness

Building Learning Health Systems to Accelerate Research and Improve Outcomes of Clinical Care in Low- and Middle-Income Countries.

Mike English and colleagues argue that as efforts are made towards achieving universal health coverage it is also important to build capacity to develop regionally relevant evidence to improve healthcare

Variation in and risk factors for paediatric inpatient all-cause mortality in a low income setting: data from an emerging clinical information network.

BACKGROUND: Hospital mortality data can inform planning for health interventions and may help optimize resource allocation if they are reliable and appropriately interpreted. However such data are often not available in low income countries including Kenya. METHODS: Data from the Clinical Information Network covering 12 county hospitals' paediatric admissions aged 2-59 months for the periods September 2013 to March 2015 were used to describe mortality across differing contexts and to explore whether simple clinical characteristics used to classify severity of illness in common treatment guidelines are consistently associated with inpatient mortality. Regression models accounting for hospital identity and malaria prevalence (low or high) were used. Multiple imputation for missing data was based on a missing at random assumption with sensitivity analyses based on pattern mixture missing not at random assumptions. RESULTS: The overall cluster adjusted crude mortality rate across hospitals was 6 · 2% with an almost 5 fold variation across sites (95% CI 4 · 9 to 7 · 8; range 2 · 1% - 11 · 0%). Hospital identity was significantly associated with mortality. Clinical features included in guidelines for common diseases to assess severity of illness were consistently associated with mortality in multivariable analyses (AROC =0 · 86). CONCLUSION: All-cause mortality is highly variable across hospitals and associated with clinical risk factors identified in disease specific guidelines. A panel of these clinical features may provide a basic common data framework as part of improved health information systems to support evaluations of quality and outcomes of care at scale and inform health system strengthening efforts