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AIM: Family Integrated Care (FICare) was developed in high-income countries and has not been tested in resource-poor settings. We aimed to identify the facilitators and constraints that informed the adaptation of FICare to a neonatal hospital unit in Uganda. METHODS: Maternal focus groups and healthcare provider interviews were conducted at Uganda's Jinja Regional Referral Hospital in 2020. Transcripts were analysed using inductive content analysis. An adaptation team developed Uganda FICare based on the identified facilitators and constraints. RESULTS: Participants included 10 mothers (median age 28 years) and eight healthcare providers (seven female, median age 41 years). Reducing healthcare provider workload, improving neonatal outcomes and empowering mothers were identified as facilitators. Maternal stress, maternal difficulties in learning new skills and mistrust of mothers by healthcare providers were cited as constraints. Uganda FICare focused on task-shifting important but neglected patient care tasks from healthcare providers to mothers. Healthcare providers learned how to respond to maternal concerns. Intervention material was adapted to prioritise images over text. Mothers familiar with FICare provided peer-to-peer support to other mothers. CONCLUSION: Uganda FICare shares the core values of FICare but was adapted to be feasible in low-resource settings.
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Prestação Integrada de Cuidados de Saúde , Humanos , Uganda , Feminino , Adulto , Masculino , Recém-Nascido , Grupos Focais , Pessoal de Saúde/psicologia , Países em DesenvolvimentoRESUMO
BACKGROUND: Family Integrated Care (FICare) integrates parents as partners in neonatal intensive care unit care. Our team adapted and implemented this approach in a Ugandan unit for hospitalized neonates. PURPOSE: This qualitative descriptive study examined the perceptions of mothers and healthcare professionals (HCPs) of the benefits and challenges of this new approach to care. METHODS: Fifty-one mothers of hospitalized neonates born weighing greater than 2000 g participated in the program. They were taught to assess neonate danger signs, feeding, and weight. After discharge, a subsample (n = 15) participated in focus groups to explore benefits and challenges of their participation in care. Interviews with 8 HCPs were also conducted for the same purpose. Transcripts from focus groups and interviews were analyzed using inductive content analysis to describe the benefits and challenges from the perspectives of mothers and HCPs. RESULTS: For mothers a benefit was decreased stress. Both mothers and HCPs reported that the knowledge and skills mothers acquired were a benefit as was their ability to apply these to the care of their neonate. Improved relations between mothers and HCPs were described, characterized by greater exchange of information and HCPs' attentiveness to mothers' assessments. Mothers felt ready for discharge and used their knowledge at home. HCPs noted a decrease in their workload. Challenges included the need for mothers to overcome fears about performing the tasks, their own well-being and literacy skills, and access to equipment. IMPLICATIONS FOR PRACTICE: Mothers' participation in their neonates' care can have benefits for them and their neonate.
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Prestação Integrada de Cuidados de Saúde , Mães , Recém-Nascido , Feminino , Humanos , Uganda , Mães/educação , Grupos Focais , Pesquisa Qualitativa , Pessoal de SaúdeRESUMO
BACKGROUND: Effective triage at hospitals can improve outcomes for children globally by helping identify and prioritize care for those most at-risk of death. Paper-based pediatric triage guidelines have been developed to support frontline health workers in low-resource settings, but these guidelines can be challenging to implement. Smart Triage is a digital triaging platform for quality improvement (QI) that aims to address this challenge. Smart Triage represents a major cultural and behavioural shift in terms of managing patients at health facilities in low-and middle-income countries. The purpose of this study is to understand user perspectives on the usability, feasibility, and acceptability of Smart Triage to inform ongoing and future implementation. METHODS: This was a descriptive qualitative study comprising of face-to-face interviews with health workers (n = 15) at a regional referral hospital in Eastern Uganda, conducted as a sub-study of a larger clinical trial to evaluate Smart Triage (NCT04304235). Thematic analysis was used to assess the usability, feasibility, and acceptability of the platform, focusing on its use in stratifying and prioritizing patients according to their risk and informing QI initiatives implemented by health workers. RESULTS: With appropriate training and experience, health workers found most features of Smart Triage usable and feasible to implement, and reported the platform was acceptable due to its positive impact on reducing the time to treatment for emergency pediatric cases and its use in informing QI initiatives within the pediatric ward. Several factors that reduced the feasibility and acceptability were identified, including high staff turnover, a lack of medical supplies at the hospital, and challenges with staff attitudes. CONCLUSION: Health workers can use the Smart Triage digital triaging platform to identify and prioritize care for severely ill children and improve quality of care at health facilities in low-resource settings. Future innovation is needed to address identified feasibility and acceptability challenges; however, this platform could potentially address some of the challenges to implementing current paper-based systems.
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Melhoria de Qualidade , Triagem , Criança , Ensaios Clínicos como Assunto , Hospitais , Humanos , Encaminhamento e Consulta , UgandaRESUMO
BACKGROUND: Sepsis is the leading cause of death and disability in children. Every hour of delay in treatment is associated with an escalating risk of morbidity and mortality. The burden of sepsis is greatest in low- and middle-income countries where timely treatment may not occur due to delays in diagnosis and prioritization of critically ill children. To circumvent these challenges, we propose the development and clinical evaluation of a digital triage tool that will identify high risk children and reduce time to treatment. We will also implement and clinically validate a Radio-Frequency Identification system to automate tracking of patients. The mobile platform (mobile device and dashboard) and automated patient tracking system will create a low cost, highly scalable solution for critically ill children, including those with sepsis. METHODS: This is pre-post intervention study consisting of three phases. Phase I will be a baseline period where data is collected on key predictors and outcomes before implementation of the digital triage tool. In Phase I, there will be no changes to healthcare delivery processes in place at the study hospitals. Phase II will involve model derivation, technology development, and usability testing. Phase III will be the intervention period where data is collected on key predictors and outcomes after implementation of the digital triage tool. The primary outcome, time to treatment initiation, will be compared to assess effectiveness of the digital health intervention. DISCUSSION: Smart technology has the potential to overcome the barrier of limited clinical expertise in the identification of the child at risk. This mobile health platform, with sensors and data-driven applications, will provide real-time individualized risk prediction to rapidly triage patients and facilitate timely access to life-saving treatments for children in low- and middle-income countries, where specialists are not regularly available and deaths from sepsis are common. TRIAL REGISTRATION: Clinical Trials.gov Identifier: NCT04304235, Registered 11 March 2020.
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Tecnologia Digital , Sepse/terapia , Triagem/métodos , Criança , Atenção à Saúde/organização & administração , Países em Desenvolvimento , Hospitais , Humanos , Quênia , Sistemas Automatizados de Assistência Junto ao Leito , Telemedicina , UgandaRESUMO
Infectious diseases in neonates account for half of the under-five mortality in low- and middle-income countries. Data-driven algorithms such as clinical prediction models can be used to efficiently detect critically ill children in order to optimize care and reduce mortality. Thus far, only a handful of prediction models have been externally validated and are limited to neonatal in-hospital mortality. The aim of this study is to externally validate a previously derived clinical prediction model (Smart Triage) using a combined prospective baseline cohort from Uganda and Kenya with a composite endpoint of hospital admission, mortality, and readmission. We evaluated model discrimination using area under the receiver-operator curve (AUROC) and visualized calibration plots with age subsets (< 30 days, ≤ 2 months, ≤ 6 months, and < 5 years). Due to reduced performance in neonates (< 1 month), we re-estimated the intercept and coefficients and selected new thresholds to maximize sensitivity and specificity. 11595 participants under the age of five (under-5) were included in the analysis. The proportion with an endpoint ranged from 8.9% in all children under-5 (including neonates) to 26% in the neonatal subset alone. The model achieved good discrimination for children under-5 with AUROC of 0.81 (95% CI: 0.79-0.82) but poor discrimination for neonates with AUROC of 0.62 (95% CI: 0.55-0.70). Sensitivity at the low-risk thresholds (CI) were 85% (83%-87%) and 68% (58%-76%) for children under-5 and neonates, respectively. After model revision for neonates, we achieved an AUROC of 0.83 (95% CI: 0.79-0.87) with 13% and 41% as the low- and high-risk thresholds, respectively. The updated Smart Triage performs well in its predictive ability across different age groups and can be incorporated into current triage guidelines at local healthcare facilities. Additional validation of the model is indicated, especially for the neonatal model.
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Sub-Saharan Africa accounts for two-thirds of the global burden of maternal and newborn deaths. Adverse outcomes among postpartum women and newborns occurring in the first six weeks of life are often related, though data co-examining patients are limited. This study is an exploratory analysis describing the epidemiology of postnatal complications among postpartum women and newborns following facility birth and discharge in Mbarara, Uganda. This single-site prospective cohort observational study enrolled postpartum women following facility-based delivery. To capture health information about both the postpartum women and newborns, data was collected and categorized according to domains within the continuum of care including (1) social and demographic, (2) pregnancy history and antenatal care, (3) delivery, (4) maternal discharge, and (5) newborn discharge. The primary outcomes were readmission and mortality within the six-week postnatal period as defined by the WHO. Multivariable logistic regression was used to identify risk factors. Among 2930 discharged dyads, 2.8% and 9.0% of women and newborns received three or more postnatal visits respectively. Readmission and deaths occurred among 108(3.6%) and 25(0.8%) newborns and in 80(2.7%) and 0(0%) women, respectively. Readmissions were related to sepsis/infection in 70(88%) women and 68(63%) newborns. Adjusted analysis found that caesarean delivery (OR:2.91; 95%CI:1.5-6.04), longer travel time to the facility (OR:1.54; 95%CI:1.24-1.91) and higher maternal heart rate at discharge (OR:1.02; 95%CI:1.00-1.01) were significantly associated with maternal readmission. Discharge taken on all patients including maternal haemoglobin (per g/dL) (OR:0.90; 95%CI:0.82-0.99), maternal symptoms (OR:1.76; 95%CI:1.02-2.91), newborn temperature (OR:1.66; 95%CI:1.28-2.13) and newborn heart rate at (OR:1.94; 95%CI:1.19-3.09) were risk factors among newborns. Readmission and death following delivery and discharge from healthcare facilities is still a problem in settings with low rates of postnatal care visits for both women and newborns. Strategies to identify vulnerable dyads and provide better access to follow-up care, are urgently required.
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The World Health Organization (WHO) Integrated Management of Childhood Illness (IMCI) guidelines recognize the importance of discharge planning to ensure continuation of care at home and appropriate follow-up. However, insufficient attention has been paid to post discharge planning in many hospitals contributing to poor implementation. To understand the reasons for suboptimal discharge, we evaluated the pediatric discharge process from hospital admission through the transition to care within the community in Ugandan hospitals. This mixed methods prospective study enrolled 92 study participants in three phases: patient journey mapping for 32 admitted children under-5 years of age with suspected or proven infection, discharge process mapping with 24 pediatric healthcare workers, and focus group discussions with 36 primary caregivers and fathers of discharged children. Data were descriptively and thematically analyzed. We found that the typical discharge process is often not centered around the needs of the child and family. Discharge planning often does not begin until immediately prior to discharge and generally does not include caregiver input. Discharge education and counselling are generally limited, rarely involves the father, and does not focus significantly on post-discharge care or follow-up. Delays in the discharge process itself occur at multiple points, including while awaiting a physical discharge order and then following a discharge order, mainly with billing or transportation issues. Poor peri-discharge care is a significant barrier to optimizing health outcomes among children in Uganda. Process improvements including initiation of early discharge planning, improved communication between healthcare workers and caregivers, as well as an increased focus on post-discharge care, are key to ensuring safe transitions from facility-based care to home-based care among children recovering from severe illness.
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Introduction: In low-income country settings, the first six weeks after birth remain a critical period of vulnerability for both mother and newborn. Despite recommendations for routine follow-up after delivery and facility discharge, few mothers and newborns receive guideline recommended care during this period. Prediction modelling of post-delivery outcomes has the potential to improve outcomes for both mother and newborn by identifying high-risk dyads, improving risk communication, and informing a patient-centered approach to postnatal care interventions. This study aims to derive post-discharge risk prediction algorithms that identify mother-newborn dyads who are at risk of re-admission or death in the first six weeks after delivery at a health facility. Methods: This prospective observational study will enroll 7,000 mother-newborn dyads from two regional referral hospitals in southwestern and eastern Uganda. Women and adolescent girls aged 12 and above delivering singletons and twins at the study hospitals will be eligible to participate. Candidate predictor variables will be collected prospectively by research nurses. Outcomes will be captured six weeks following delivery through a follow-up phone call, or an in-person visit if not reachable by phone. Two separate sets of prediction models will be built, one set of models for newborn outcomes and one set for maternal outcomes. Derivation of models will be based on optimization of the area under the receiver operator curve (AUROC) and specificity using an elastic net regression modelling approach. Internal validation will be conducted using 10-fold cross-validation. Our focus will be on the development of parsimonious models (5-10 predictor variables) with high sensitivity (>80%). AUROC, sensitivity, and specificity will be reported for each model, along with positive and negative predictive values. Discussion: The current recommendations for routine postnatal care are largely absent of benefit to most mothers and newborns due to poor adherence. Data-driven improvements to postnatal care can facilitate a more patient-centered approach to such care. Increasing digitization of facility care across low-income settings can further facilitate the integration of prediction algorithms as decision support tools for routine care, leading to improved quality and efficiency. Such strategies are urgently required to improve newborn and maternal postnatal outcomes. Clinical trial registration: https://clinicaltrials.gov/, identifier (NCT05730387).
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Sepsis is a major global health problem, especially in sub-Saharan Africa. Improving patient care requires that healthcare providers understand patients' priorities and provide quality care within the confines of the context they work. We report the perspectives of patients, caregivers and healthcare workers regarding care quality for patients admitted for sepsis to public hospitals in Uganda and Malawi. This qualitative descriptive study in two hospitals included face-to face semi-structured interviews with purposively selected patients recovering from sepsis, their caregivers and healthcare workers. In both Malawi and Uganda, sepsis care often occurred in resource-constrained environments which undermined healthcare workers' capacity to deliver safe, consistent and accessible care. Constraints included limited space, strained; water, sanitation and hygiene (WASH) amenities and practices, inadequate human and material resources and inadequate provision for basic needs including nutrition. Heavy workloads for healthcare workers strained relationships, led to poor communication and reduced engagement with patients and caregivers. These consequences were exacerbated by understaffing which affected handover and continuity of care. All groups (healthcare workers, patients and caregivers) reported delays in care due to long queues and lack of compliance with procedures for triage, treatment, stabilization and monitoring due to a lack of expertise, supervision and context-specific sepsis management guidelines. Quality sepsis care relies on effective severity-based triaging, rapid treatment of emergencies and individualised testing to confirm diagnosis and monitoring. Hospitals in resource-constrained systems contend with limitations in key resources, including for space, staff, expertise, equipment and medicines, in turn contributing to gaps in areas such as WASH and effective care delivery, as well as communication and other relational aspects of care. These limitations are the predominant challenges to achieving high quality care.
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Introduction: To determine the effect of parental participation in hospital care on neonatal and parental outcomes in low- and middle-income countries (LMICs) and to identify the range of parental duties in the care of hospitalized neonates in LMICs. Methods: We searched CINAHL, CENTRAL, LILACs, MEDLINE, EMBASE and Web of Science from inception to February 2022. Randomized and non-randomized studies from LMICs were eligible if parents performed one or more roles traditionally undertaken by healthcare staff. The primary outcome was hospital length-of-stay. Secondary outcomes included mortality, readmission, breastfeeding, growth, development and parental well-being. Data was extracted in duplicate by two independent reviewers using a piloted extraction form. Results: Eighteen studies (eight randomized and ten non-randomized) were included from seven middle-income countries. The types of parental participation included hygiene and infection prevention, feeding, monitoring and documentation, respiratory care, developmental care, medication administration and decision making. Meta-analyses showed that parental participation was not associated with hospital length-of-stay (MD -2.35, 95% CI -6.78-2.07). However, parental involvement was associated with decreased mortality (OR 0.46, 95% CI 0.22-0.95), increased breastfeeding (OR 2.97 95% CI 1.65-5.35) and decreased hospital readmission (OR 0.36, 95% CI 0.16-0.81). Narrative synthesis demonstrated additional benefits for growth, short-term neurodevelopment and parental well-being. Ten of the eighteen studies had a high risk of bias. Conclusion: Parental participation in neonatal hospital care is associated with improvement in several key neonatal outcomes in middle-income countries. The lack of data from low-income countries suggests that there remains barriers to parental participation in resource-poor settings. Systematic review registration: [https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=187562], identifier [CRD42020187562].
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OBJECTIVE: Dysglycemia during sepsis is associated with poor outcomes in resource-rich settings. In resource-limited settings, hypoglycemia is often diagnosed clinically without the benefit of laboratory support. We studied the utility of point-of-care glucose monitoring to predict mortality in severely septic patients in Uganda. DESIGN: Prospective observational study. SETTING: One national and two regional referral hospitals in Uganda. PATIENTS: We enrolled 532 patients with sepsis at three hospitals in Uganda. The analysis included 418 patients from the three sites with inhospital mortality data, a documented admission blood glucose concentration, and evidence of organ dysfunction at admission (systolic blood pressure≤100 mm Hg, lactate>4 mmol/L, platelet number<100,000/µL, or altered mental status). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We evaluated the association between admission point-of-care blood glucose concentration and inhospital mortality. We also assessed the accuracy of altered mental status as a predictor of hypoglycemia. Euglycemia occurred in 33.5% (140 of 418) of patients, whereas 16.3% (68 of 418) of patients were hypoglycemic and 50.2% (210 of 418) were hyperglycemic. Univariate Cox regression analyses comparing in-hospital mortality among hypoglycemic (35.3% [24 of 68], hazard ratio 2.0, 95% confidence interval 1.2-3.6, p=.013) and hyperglycemic (29.5% [62 of 210], hazard ratio 1.5, 95% confidence interval 0.96-2.4, p=.08) patients to euglycemic (19.3% [27 of 140]) patients showed statistically significantly higher rates of inhospital mortality for patients with hypoglycemia. Hypoglycemia (adjusted hazard ratio 1.9, 95% confidence interval 1.1-3.3, p=.03) remained significantly and independently associated with inhospital mortality in the multivariate model. The sensitivity and specificity of altered mental status for hypoglycemia were 25% and 86%, respectively. CONCLUSION: Hypoglycemia is an independent risk factor for inhospital mortality in patients with severe sepsis and cannot be adequately assessed by clinical examination. Correction of hypoglycemia may improve outcomes of critically ill patients in resource-limited settings.
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Glicemia/análise , Mortalidade Hospitalar , Hipoglicemia/sangue , Sepse/sangue , Sepse/diagnóstico , Adulto , Feminino , Humanos , Masculino , Saúde Mental/estatística & dados numéricos , Pessoa de Meia-Idade , Insuficiência de Múltiplos Órgãos/sangue , Valor Preditivo dos Testes , Prognóstico , Estudos Prospectivos , Uganda/epidemiologiaRESUMO
BACKGROUND: The scarcity of physicians in sub-Saharan Africa - particularly in rural clinics staffed only by non-physician health workers - is constraining access to HIV treatment, as only they are legally allowed to start antiretroviral therapy in the HIV-positive patient. Here we present a pilot study from Uganda assessing agreement between non-physician clinicians (nurses and clinical officers) and physicians in their decisions as to whether to start therapy. METHODS: We conducted the study at 12 government antiretroviral therapy sites in three regions of Uganda, all of which had staff trained in delivery of antiretroviral therapy using the WHO Integrated Management of Adult and Adolescent Illness guidelines for chronic HIV care. We collected seven key variables to measure patient assessment and the decision as to whether to start antiretroviral therapy, the primary variable of interest being the Final Antiretroviral Therapy Recommendation. Patients saw either a clinical officer or nurse first, and then were screened identically by a blinded physician during the same clinic visit. We measured inter-rater agreement between the decisions of the non-physician health workers and physicians in the antiretroviral therapy assessment variables using simple and weighted Kappa analysis. RESULTS: Two hundred fifty-four patients were seen by a nurse and physician, while 267 were seen by a clinical officer and physician. The majority (>50%) in each arm of the study were in World Health Organization Clinical Stages I and II and therefore not currently eligible for antiretroviral therapy according to national antiretroviral therapy guidelines. Nurses and clinical officers both showed moderate to almost perfect agreement with physicians in their Final Antiretroviral Therapy Recommendation (unweighted kappa=0.59 and kappa=0.91, respectively). Agreement was also substantial for nurses versus physicians for assigning World Health Organization Clinical Stage (weighted kappa=0.65), but moderate for clinical officers versus physicians (kappa=0.44). CONCLUSION: Both nurses and clinical officers demonstrated strong agreement with physicians in deciding whether to initiate antiretroviral therapy in the HIV patient. This could lead to immediate benefits with respect to antiretroviral therapy scale-up and decentralization to rural areas in Uganda, as non-physician clinicians--particularly clinical officers--demonstrated the capacity to make correct clinical decisions to start antiretroviral therapy. These preliminary data warrant more detailed and multicountry investigation into decision-making of non-physician clinicians in the management of HIV disease with antiretroviral therapy, and should lead policy-makers to more carefully explore task-shifting as a shorter-term response to addressing the human resource crisis in HIV care and treatment.
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INTRODUCTION: The burden of childhood mortality continues to be born largely by low-income and middle-income countries. The critical postdischarge period has been largely neglected despite evidence that mortality rates during this period can exceed inpatient mortality rates. However, there is a paucity of data on the paediatric discharge process from the perspective of the healthcare provider. Provider perspectives may be important in the development of an improved understanding of the barriers and facilitators to improving the transition from hospital to home. OBJECTIVES: To explore healthcare providers' and facility administrators' perspectives of the paediatric discharge process with respect to: (1) current procedures, (2) barriers and challenges, (3) ideas for change, (4) facilitators for change and (5) the importance of discharge planning. DESIGN: A qualitative exploratory approach using focus groups (14) and in-depth interviews (7). SETTING: This study was conducted at seven hospitals providing paediatric care in Uganda. RESULTS: Current discharge procedures are largely based on hospital-specific protocols or clinician opinion, as opposed to national guidelines. Some key barriers to an improved discharge process included caregiver resources and education, critical communication gaps, traditional practices, and a lack of human and physical resources. Teamwork and motivation to see improved paediatric transitions to home were identified as facilitators to implementing the ideas for change proposed by participants. The need for a standardised national policy guiding paediatric discharges, implemented through education at many levels and coupled with appropriate community referral and follow-up, was broadly perceived as essential to improving outcomes for children. CONCLUSIONS: Although significant challenges and gaps were identified within the current health system, participants' ideas and the identified facilitators provide a significant basis from which change may occur. This work can facilitate the development of sustainable and effective interventions to improve postdischarge outcomes in Uganda and other similar settings.
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Atitude do Pessoal de Saúde , Eficiência Organizacional , Administração dos Cuidados ao Paciente/organização & administração , Alta do Paciente , Adolescente , Adulto , Ocupação de Leitos , Comunicação , Feminino , Grupos Focais , Hospitais Pediátricos/organização & administração , Humanos , Entrevistas como Assunto , Masculino , Pessoa de Meia-Idade , Administração dos Cuidados ao Paciente/métodos , Pesquisa Qualitativa , Encaminhamento e Consulta , Uganda , Adulto JovemRESUMO
BACKGROUND: To improve management of severely ill hospitalized patients in low-income settings, the World Health Organization (WHO) established a triage tool called "Quick Check" to provide clinicians with a rapid, standardized approach to identify patients with severe illness based on recognition of abnormal vital signs. Despite the availability of these guidelines, recognition of severe illness remains challenged in low-income settings, largely as a result of infrequent vital sign monitoring. METHODS: We conducted a staggered, pre-post quasi-experimental study at four inpatient health facilities in western Uganda to assess the impact of a multi-modal intervention for improving quality of care following formal training on WHO "Quick Check" guidelines for diagnosis of severe illness in low-income settings. Intervention components were developed using the COM-B ("capability," "opportunity," and "motivation" determine "behavior") model and included clinical mentoring by an expert in severe illness care, collaborative improvement meetings with external support supervision, and continuous audits of clinical performance with structured feedback. RESULTS: There were 5759 patients hospitalized from August 2014 to May 2015: 1633 were admitted before and 4126 during the intervention period. Designed to occur twice monthly, collaborative improvement meetings occurred every 2-4 weeks at each site. Clinical mentoring sessions, designed to occur monthly, occurred every 4-6 months at each site. Audit and feedback reports were implemented weekly as designed. During the intervention period, there were significant increases in the site-adjusted likelihood of initial assessment of temperature, heart rate, blood pressure, respiratory rate, mental status, and pulse oximetry. Patients admitted during the intervention period were significantly more likely to be diagnosed with sepsis (4.3 vs. 0.4%, risk ratio 10.1, 95% CI 3.0-31.0, p < 0.001) and severe respiratory distress (3.9 vs. 0.9%, risk ratio 4.5, 95% CI 1.8-10.9, p = 0.001). CONCLUSIONS: Theory-informed quality improvement programs can improve vital sign collection and diagnosis of severe illness in low-income settings. Further implementation, evaluation, and scale-up of such interventions are needed to enhance hospital-based triage and severe illness management in these settings. TRIAL REGISTRATION: Severe illness management system (SIMS) intervention development, ISRCTN46976783.
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Estado Terminal/terapia , Fidelidade a Diretrizes/organização & administração , Pessoal de Saúde/educação , Guias de Prática Clínica como Assunto , Triagem/organização & administração , Organização Mundial da Saúde , Adulto , Comportamento Cooperativo , Feminino , Feedback Formativo , Hospitalização , Humanos , Masculino , Mentores , Pessoa de Meia-Idade , Áreas de Pobreza , Melhoria de Qualidade , Uganda , Sinais VitaisRESUMO
We enrolled 382 patients at two hospitals in Uganda in a prospective observational study of severe sepsis. Because artemisinins improve survival in murine sepsis models, we performed a post hoc analysis of the association between the use of artemether-lumefantrine (A-L) and mortality in patients with or without malaria. In patients with negative malaria smears (N = 328 of 379), Kaplan-Meier curves revealed decreased combined inpatient and 30-day mortality among patients receiving A-L versus those who did not (20.6%, SE = 10.6 versus 48.8%, SE = 3.2; Log rank chi(2) = 3.93, P = 0.048). The decrease in mortality associated with A-L was maintained in the most clinically ill patients determined by Karnofsky Performance Scores Assuntos
Anti-Infecciosos/uso terapêutico
, Artemisininas/uso terapêutico
, Etanolaminas/uso terapêutico
, Fluorenos/uso terapêutico
, Sepse/tratamento farmacológico
, Sepse/mortalidade
, Adulto
, Anti-Infecciosos/administração & dosagem
, Artemeter
, Artemisininas/administração & dosagem
, Quimioterapia Combinada
, Etanolaminas/administração & dosagem
, Feminino
, Fluorenos/administração & dosagem
, Humanos
, Lumefantrina
, Malária/epidemiologia
, Masculino
, Pessoa de Meia-Idade
, Estudos Prospectivos
, Uganda/epidemiologia
, Adulto Jovem
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BACKGROUND: Sepsis likely contributes to the high burden of infectious disease morbidity and mortality in low income countries. Data regarding sepsis management in sub-Saharan Africa are limited. We conducted a prospective observational study reporting the management and outcomes of severely septic patients in two Ugandan hospitals. We describe their epidemiology, management, and clinical correlates for mortality. METHODOLOGY/RESULTS: Three-hundred eighty-two patients fulfilled enrollment criteria for a severe sepsis syndrome. Vital signs, management and laboratory results were recorded. Outcomes measured included in-hospital and post-discharge mortality. Most patients were HIV-infected (320/377, 84.9%) with a median CD4+ T cell (CD4) count of 52 cells/mm(3) (IQR, 16-131 cells/mm(3)). Overall mortality was 43.0%, with 23.7% in-hospital mortality (90/380) and 22.3% post-discharge mortality (55/247). Significant predictors of in-hospital mortality included admission Glasgow Coma Scale and Karnofsky Performance Scale (KPS), tachypnea, leukocytosis and thrombocytopenia. Discharge KPS and early fluid resuscitation were significant predictors of post-discharge mortality. Among HIV-infected patients, CD4 count was a significant predictor of post-discharge mortality. Median volume of fluid resuscitation within the first 6 hours of presentation was 500 mLs (IQR 250-1000 mls). Fifty-two different empiric antibacterial regimens were used during the study. Bacteremic patients were more likely to die in hospital than non-bacteremic patients (OR 1.83, 95% CI = 1.01-3.33). Patients with Mycobacterium tuberculosis (MTB) bacteremia (25/249) had higher in-hospital mortality (OR 1.97, 95% CI = 1.19-327) and lower median CD4 counts (p = 0.001) than patients without MTB bacteremia. CONCLUSION: Patients presenting with sepsis syndromes to two Ugandan hospitals had late stage HIV infection and high mortality. Bacteremia, especially from MTB, was associated with increased in-hospital mortality. Most clinical predictors of in-hospital mortality were easily measurable and can be used for triaging patients in resource-constrained settings. Procurement of low cost and high impact treatments like intravenous fluids and empiric antibiotics may help decrease sepsis-associated mortality in resource-constrained settings.