scholarly journals Admission to hospital for bronchiolitis in England: trends over five decades, geographical variation and association with perinatal characteristics and subsequent asthma

2015 ◽  
Vol 101 (2) ◽  
pp. 140-146 ◽  
Author(s):  
Christopher A Green ◽  
David Yeates ◽  
Allie Goldacre ◽  
Charles Sande ◽  
Roger C Parslow ◽  
...  
Keyword(s):  
Intensive Care ◽  
Hospital Admission ◽  
Record Linkage ◽  
Geographical Variation ◽  
Hospital Admissions ◽  
Paediatric Intensive Care ◽  
Hospital Admission Rate ◽  
Factors Associated ◽  
Admission Rates ◽  
Increased Risk

BackgroundAdmission of infants to hospital with bronchiolitis consumes considerable healthcare resources each winter. We report an analysis of hospital admissions in England over five decades.MethodsData were analysed from the Hospital In-Patient Enquiry (HIPE, 1968–1985), Hospital Episode Statistics (HES, 1989–2011), Oxford Record Linkage Study (ORLS, 1963–2011) and Paediatric Intensive Care Audit Network (PICANet, 2003–2012). Cases were identified using International Classification of Diseases (ICD) codes in discharge records. Bronchiolitis was given a separate code in ICD9 (used in England from 1979). Geographical variation was analysed using Local Authority area boundaries. Maternal and perinatal risk factors associated with bronchiolitis and subsequent admissions for asthma were analysed using record-linkage.ResultsAll-England HIPE and HES data recorded 468 138 episodes of admission for bronchiolitis in infants aged <1 year between 1979 and 2011. In 2011 the estimated annual hospital admission rate was 46.1 (95% CI 45.6 to 46.6) per 1000 infants aged <1 year. Between 2004 and 2011 the rates rose by an average of 1.8% per year in the all-England HES data, whereas admission rates to paediatric intensive care changed little (1.3 to 1.6 per 1000 infants aged <1 year). A fivefold geographical variation in hospital admission rates was observed. Young maternal age, low social class, low birth weight and maternal smoking were among factors associated with an increased risk of hospital admission with bronchiolitis.ConclusionsHospital admissions for infants with bronchiolitis have increased substantially in recent years. However, cases requiring intensive care have changed little since 2004.

scholarly journals Assessing the causal impact of adiposity variation on rates of hospital admission: Application of Mendelian randomization

2020 ◽  
Author(s):  
Audinga-Dea Hazewinkel ◽  
Padraig Dixon ◽  
Rebecca Richmond ◽  
Kaitlin H Wade
Keyword(s):  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Hospital Admissions ◽  
Mendelian Randomization ◽  
Causal Role ◽  
Hospital Admission Rate ◽  
Admission Rates ◽  
Waist Hip Ratio

Background Body mass index (BMI) and waist-hip-ratio (WHR) are measures of adiposity, the former being a good marker for overall total body fat, the latter describing regional adiposity. Higher adiposity has been associated with the increased prevalence of many chronic diseases and a positive association between BMI and increased hospital admissions has previously been established. The aim of this study was to estimate the causal relationship between BMI, WHR and WHR adjusted for BMI (WHRadjBMI) and yearly hospital admission rates. Methods and Findings Mendelian randomization (MR) approaches were used to test the causal effect of BMI, WHR and WHRadjBMI on yearly hospital admission rates. Using data on 310,471 participants of White-British ancestry from the UK Biobank, we performed one-sample and two-sample MR analyses on the exposures individually and in a multivariable setting. MR analyses supported a causal role of adiposity on hospital admissions, with consistency across one- and two-sample MR methods. Primarily, one-sample MR analyses estimated fold-increases in yearly hospital admission rates of 1.13 (95% CI: 1.02, 1.27), 1.26 (95% CI: 1.00, 1.58) and 1.22 (95% CI: 1.01, 1.47) per SD for BMI, WHR and WHRadjBMI, respectively. A multivariable approach yielded estimates of 1.04 (95% CI: 0.99, 1.03) for BMI and 1.31 (95% CI: 1.04, 1.67) for WHR, while adjusting for WHR and BMI, respectively. Conclusions The results support a causal role of higher BMI and WHR in increasing the yearly hospital admission rate. The attenuation of the BMI effect, when adjusting for WHR in the multivariable MR analyses, suggested that an adverse fat distribution, rather than a higher BMI itself, may drive the relationship between adiposity and increased risk of hospital admission. Keywords: Body mass index (BMI), waist-hip-ratio (WHR), hospital admission, Mendelian randomization

scholarly journals Gestational age and hospital admissions during childhood: population based, record linkage study in England (TIGAR study)

BMJ ◽  
2020 ◽  
pp. m4075
Author(s):  
Victoria Coathup ◽  
Elaine Boyle ◽  
Claire Carson ◽  
Samantha Johnson ◽  
Jennifer J Kurinzcuk ◽  
...  
Keyword(s):  
Hospital Admission ◽  
Gestational Age ◽  
Record Linkage ◽  
Hospital Admissions ◽  
Population Based ◽  
Admission Rates ◽  
Adjusted Rate ◽  
Gestational Age At Birth ◽  
Adjusted Rate Ratio ◽  
Age At Birth

AbstractObjectiveTo examine the association between gestational age at birth and hospital admissions to age 10 years and how admission rates change throughout childhood.DesignPopulation based, record linkage, cohort study in England.SettingNHS hospitals in England, United Kingdom.Participants1 018 136 live, singleton births in NHS hospitals in England between January 2005 and December 2006.Main outcome measuresPrimary outcome was all inpatient hospital admissions from birth to age 10, death, or study end (March 2015); secondary outcome was the main cause of admission, which was defined as the World Health Organization’s first international classification of diseases, version 10 (ICD-10) code within each hospital admission record.Results1 315 338 admissions occurred between 1 January 2005 and 31 March 2015, and 831 729 (63%) were emergency admissions. 525 039 (52%) of 1 018 136 children were admitted to hospital at least once during the study period. Hospital admissions during childhood were strongly associated with gestational age at birth (<28, 28-29, 30-31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, and 42 weeks). In comparison with children born at full term (40 weeks’ gestation), those born extremely preterm (<28 weeks) had the highest rate of hospital admission throughout childhood (adjusted rate ratio 4.92, 95% confidence interval 4.58 to 5.30). Even children born at 38 weeks had a higher rate of hospital admission throughout childhood (1.19, 1.16 to 1.22). The association between gestational age and hospital admission decreased with increasing age (interaction P<0.001). Children born earlier than 28 weeks had an adjusted rate ratio of 6.34 (95% confidence interval 5.80 to 6.85) at age less than 1 year, declining to 3.28 (2.82 to 3.82) at ages 7-10, in comparison with those born full term; whereas in children born at 38 weeks, the adjusted rate ratios were 1.29 (1.27 to 1.31) and 1.16 (1.13 to 1.19), during infancy and ages 7-10, respectively. Infection was the main cause of excess hospital admissions at all ages, but particularly during infancy. Respiratory and gastrointestinal conditions also accounted for a large proportion of admissions during the first two years of life.ConclusionsThe association between gestational age and hospital admission rates decreased with age, but an excess risk remained throughout childhood, even among children born at 38 and 39 weeks of gestation. Strategies aimed at the prevention and management of childhood infections should target children born preterm and those born a few weeks early.

scholarly journals A Systematic Literature Review and Meta-Analysis of Factors Associated with Methicillin-ResistantStaphylococcus aureusColonization at Time of Hospital or Intensive Care Unit Admission

2013 ◽  
Vol 34 (10) ◽  
pp. 1077-1086 ◽  
Author(s):  
James A. McKinnell ◽  
Loren G. Miller ◽  
Samantha J. Eells ◽  
Eric Cui ◽  
Susan S. Huang
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
High Risk ◽  
Hospital Admission ◽  
Systematic Evaluation ◽  
Factors Associated ◽  
Icu Admission ◽  
Increased Risk ◽  
Healthcare Associated ◽  
Mrsa Colonization

Objective.Screening for methicillin-resistantStaphylococcus aureus(MRSA) in high-risk patients is a legislative mandate in 9 US states and has been adopted by many hospitals. Definitions of high risk differ among hospitals and state laws. A systematic evaluation of factors associated with colonization is lacking. We performed a systematic review of the literature to assess factors associated with MRSA colonization at hospital admission.Design.We searched MEDLINE from 1966 to 2012 for articles comparing MRSA colonized and noncolonized patients on hospital or intensive care unit (ICU) admission. Data were extracted using a standardized instrument. Meta-analyses were performed to identify factors associated with MRSA colonization.Results.We reviewed 4,381 abstracts; 29 articles met inclusion criteria (n= 76,913 patients). MRSA colonization at hospital admission was associated with recent prior hospitalization (odds ratio [OR], 2.4 [95% confidence interval (CI), 1.3–4.7];P<.01), nursing home exposure (OR, 3.8 [95% CI, 2.3–6.3];P< .01), and history of exposure to healthcare-associated pathogens (MRSA carriage: OR, 8.0 [95% CI, 4.2–15.1];Clostridium difficileinfection: OR, 3.4 [95% CI, 2.2–5.3]; vancomycin-resistantEnterococcicarriage: OR, 3.1 [95% CI, 2.5–4.0];P< .01 for all). Select comorbidities were associated with MRSA colonization (congestive heart failure, diabetes, pulmonary disease, immunosuppression, and renal failure;P< .01 for all), while others were not (human immunodeficiency virus, cirrhosis, and malignancy). ICU admission was not associated with an increased risk of MRSA colonization (OR, 1.1 [95% CI, 0.6–1.8];P= .87).Conclusions.MRSA colonization on hospital admission was associated with healthcare contact, previous healthcare-associated pathogens, and select comorbid conditions. ICU admission was not associated with MRSA colonization, although this is commonly used in state mandates for MRSA screening. Infection prevention programs utilizing targeted MRSA screening may consider our results to define patients likely to have MRSA colonization.

scholarly journals Changing patterns of hospital admission for asthma, 1981–97

Thorax ◽  
2001 ◽  
Vol 56 (9) ◽  
pp. 687-690
Author(s):  
D S Morrison ◽  
P McLoone
Keyword(s):  
Hospital Admission ◽  
Hospital Admissions ◽  
Admission Rate ◽  
Hospital Admission Rate ◽  
Admission Rates ◽  
Lengths Of Stay ◽  
Icd 10 ◽  
Changing Patterns ◽  
Bed Days ◽  
Age And Sex

BACKGROUNDHospital admission rates for asthma have stopped rising in several countries. The aim of this study was to use linked hospital admission data to explore recent trends in asthma admissions in Scotland.METHODSLinked Scottish Morbidity Records (SMR1) for asthma (ICD-9 493 and ICD-10 J45–6) from 1981 to 1997 were used to describe rates of first admissions and readmissions by age and sex. As a measure of resource use, annual trends in bed days used were also explored by age and sex.RESULTSThere were 160 039 hospital admissions for asthma by 82 421 individuals in Scotland during the study period. The overall hospital admission rate increased by 122% (from 106.7 to 236.7 per 100 000 population) but this varied by sex, age, and admission type. First admissions rose by 70% from 73.2 per 100 000 in 1986 to 124.8 per 100 000 in 1997 while readmissions fell. Children (<15 years) experienced a decline in overall admissions after 1992 due to falls in both new admissions and readmissions. By 1997 the ratio of female to male admissions was 0.57 in children, but 1.50 above 14 years of age. Mean lengths of stay fell from 10.7 days to 3.7 days between 1981 and 1997 and bed days used showed little change except for a decline after 1992 in children.CONCLUSIONSAfter a period of increasing hospitalisation for asthma in Scotland, rates of admission among children have begun to fall but among adults admissions continue to rise.

scholarly journals Is there a sex difference in mortality rates for deaths occurring in paediatric intensive care units? Systematic literature review protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e046794
Author(s):  
Ofran Almossawi ◽  
Amanda Friend ◽  
Luigi Palla ◽  
Richard Feltbower ◽  
Bianca De Stavola
Keyword(s):  
Intensive Care ◽  
Literature Review ◽  
Intensive Care Units ◽  
Systematic Literature Review ◽  
Data Extraction ◽  
Linkage Study ◽  
Paediatric Intensive Care ◽  
Admission Rates ◽  
Ethical Approval ◽  
Paediatric Intensive Care Units

IntroductionIn the general population, female children have been reported to have a survival advantage. For children admitted to paediatric intensive care units (PICUs), mortality has been reported to be lower in males despite the higher admission rates for males into intensive care. This apparent sex reversal in PICU mortality is not well studied. To address this, we propose to conduct a systematic literature review to summarise the available evidence. Our review will study the reported differences in mortality between males and females aged 0–17, who died in a PICU, to examine if there is a difference between the two sexes in PICU mortality, and if so, to describe the magnitude and direction of this difference.Methods and analysisStudies that directly or indirectly addressed the association between sex and mortality in children admitted to intensive care will be eligible for inclusion. Studies that directly address the association will be eligible for data extraction. The search strings were based on terms related to the population (children in intensive care), the exposure (sex) and the outcome (mortality). We used the databases MEDLINE (1946–2020), Embase (1980–2020) and Web of Science (1985–2020) as these cover relevant clinical publications. We will assess the reliability of included studies using the risk of bias in observational studies of exposures tool. We will consider a pooled effect if we have at least three studies with similar periods of follow up and adjustment variables.Ethics and disseminationEthical approval is not required for this review as it will synthesise data from existing studies. This manuscript is a part of a larger data linkage study, for which Ethical approval was granted. Dissemination will be via peer-reviewed journals and via public and patient groups.PROSPERO registration numberCRD42020203009.

scholarly journals 1683. Hospital Admission Patterns in Adult Patients with Complicated Urinary Tract Infections (cUTIs): Identification of Potentially Avoidable Hospital Admissions Across United States (US) Hospitals

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S825-S826
Author(s):  
Thomas Lodise ◽  
Teena Chopra ◽  
Brian Nathanson ◽  
Katherine Sulham
Keyword(s):  
Hospital Admission ◽  
Hospital Admissions ◽  
Panel Member ◽  
Inclusion Criteria ◽  
Independent Contractor ◽  
Healthcare Database ◽  
Admission Rates ◽  
Comorbidity Index ◽  
Multi Center Study ◽  
Tract Infections

Abstract Background There is an increase in hospital admissions for cUTI in the US despite apparent reductions in the severity of admissions. However, there are scant data on cUTI hospital admission rates from the emergency department (ED) stratified by age, infection severity, and presence of comorbidities. This study described US hospitalization patterns among adults who present to the ED with a cUTI. We sought to quantify the proportion of admissions that were potentially avoidable based on presence of sepsis and associated symtpoms as well as Charlston Comorbidity Index (CCI) scores. Methods A retrospective multi-center study using data from the Premier Healthcare Database (2013-18) was performed. Inclusion criteria: (1) age ≥ 18 years, (2) primary cUTI ED/inpatient discharge diagnosis, (3) positive blood or urine culture between index ED service days -5 to +2. Transfers from acute care facilities were excluded. Based on ICD-9/10 diagnosis codes present on admission, incidence of hospital admissions were stratified by age (≥ 65 years vs. &lt; 65 years), presence of sepsis (S), sepsis symptoms but no sepsis codes (SS) (e.g., fever, tachycardia, tachypnea, leukocytosis, etc.), and CCI. Results 187,789 patients met inclusion criteria. The mean (SD) age was 59.7 (21.9), 40.4% were male, 29.4% had sepsis, 16.7% had at least 1 SS symptom (but no S), and 53.9% had no evidence of S or SS. The median [IQR] CCI was 1 [0, 3]. 119,668 out of 187,789 (63.7%) were admitted to hospital. Among inpatients, median [IQR] length of stay (LOS) and total costs were 5 [3, 7] days and $7,956 [$4,834, $13,960] USD. Incidence of hospital admissions by age, presence of S/SS, and CCI score are shown in the Table. 18.9% of admissions (22,644/119,668) occurred in patients with no S/SS and a CCI ≤ 2. Their median [IQR] LOS and total costs were 3 [2, 5] days and $5,575 [$3,607, $9,133]. Incidence of Hospital Admission by Age, Charlson comorbidity index (CCI), Presence of Sepsis (S), and Presence of Sepsis Symptoms (SS) Conclusion Nearly 1 in 5 cUTI hospital admissions may be avoidable. Given the resources associated with the management of inpatients with cUTIs, these findings highlight the critical need for healthcare systems to develop well-defined criteria for hospital admission based on presence of comorbid conditions and infection severity. Preventing avoidable hospital admissions has the potential to save the healthcare system substantial costs. Disclosures Thomas Lodise, PharmD, PhD, Paratek Pharmaceuticals, Inc. (Consultant) Teena Chopra, MD, MPH, Spero Therapeutics (Consultant, Advisor or Review Panel member) Brian Nathanson, PhD, Spero Therapeutics (Independent Contractor) Katherine Sulham, MPH, Spero Therapeutics (Independent Contractor)

scholarly journals Challenges of using asthma admission rates as a measure of primary care quality in children: An international comparison

2021 ◽  
pp. 135581962110127
Author(s):  
Irina Lut ◽  
Kate Lewis ◽  
Linda Wijlaars ◽  
Ruth Gilbert ◽  
Tiffany Fitzpatrick ◽  
...  
Keyword(s):  
Primary Care ◽  
Hospital Admission ◽  
Hospital Admissions ◽  
Underlying Disease ◽  
Primary Diagnosis ◽  
Care Quality ◽  
Attendance Rates ◽  
Admission Rates ◽  
Primary Care Quality ◽  
Hospital Administrative

Objectives To demonstrate the challenges of interpreting cross-country comparisons of paediatric asthma hospital admission rates as an indicator of primary care quality. Methods We used hospital administrative data from >10 million children aged 6–15 years, resident in Austria, England, Finland, Iceland, Ontario (Canada), Sweden or Victoria (Australia) between 2008 and 2015. Asthma hospital admission and emergency department (ED) attendance rates were compared between countries using Poisson regression models, adjusted for age and sex. Results Hospital admission rates for asthma per 1000 child-years varied eight-fold across jurisdictions. Admission rates were 3.5 times higher when admissions with asthma recorded as any diagnosis were considered, compared with admissions with asthma as the primary diagnosis. Iceland had the lowest asthma admission rates; however, when ED attendance rates were considered, Sweden had the lowest rate of asthma hospital contacts. Conclusions The large variations in childhood hospital admission rates for asthma based on the whole child population reflect differing definitions, admission thresholds and underlying disease prevalence rather than primary care quality. Asthma hospital admissions among children diagnosed with asthma is a more meaningful indicator for inter-country comparisons of primary care quality.

scholarly journals Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zhan Ren ◽  
Xingyuan Liu ◽  
Tianyu Liu ◽  
Dieyi Chen ◽  
Kuizhuang Jiao ◽  
...  
Keyword(s):  
Air Pollution ◽  
Hospital Admission ◽  
Hospital Admissions ◽  
Conditional Logistic Regression ◽  
Warm Season ◽  
Central China ◽  
Air Pollution Control ◽  
Short Term ◽  
Short Term Exposure ◽  
Increased Risk

Abstract Background Positive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of a megalopolis. In addition, most studies in China have used averaged data, which results in variations between monitoring and personal exposure values, creating an inherent and unavoidable type of measurement error. Methods This study was conducted in Wuhan, a megacity in central China with about 10.9 million people. Daily hospital admission records, from October 2016 to December 2018, were obtained from the Wuhan Information center of Health and Family Planning, which administrates all hospitals in Wuhan. Daily air pollution concentrations and weather variables in Wuhan during the study period were collected. We developed a land use regression model (LUR) to assess individual PM2.5 exposure. Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposure to PM2.5. We also conducted stratification analyses by age, sex, and season. Results A total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 cardiovascular disease admissions and 159,365 respiratory disease admissions. Short-term exposure to PM2.5 was associated with an increased risk of a cardiorespiratory hospital admission. A 10 μg/m3 increase in PM2.5 (lag0–2 days) was associated with an increase in hospital admissions of 1.23% (95% CI 1.01–1.45%) and 1.95% (95% CI 1.63–2.27%) for cardiovascular and respiratory diseases, respectively. The elderly were at higher PM-induced risk. The associations appeared to be more evident in the cold season than in the warm season. Conclusions This study contributes evidence of short-term effects of PM2.5 on cardiorespiratory hospital admissions, which may be helpful for air pollution control and disease prevention in Wuhan.

scholarly journals Association between home insulation and hospital admission rates: retrospective cohort study using linked data from a national intervention programme

BMJ ◽  
2020 ◽  
pp. m4571 ◽  
Author(s):  
Caroline Fyfe ◽  
Lucy Telfar ◽  
Barnard ◽  
Philippa Howden-Chapman ◽  
Jeroen Douwes
Keyword(s):  
Cohort Study ◽  
Heart Disease ◽  
Confidence Interval ◽  
Hospital Admission ◽  
Retrospective Cohort ◽  
Rate Ratio ◽  
Hospital Admissions ◽  
Relative Rate ◽  
Intervention Programme ◽  
Admission Rates

Abstract Objectives To investigate whether retrofitting insulation into homes can reduce cold associated hospital admission rates among residents and to identify whether the effect varies between different groups within the population and by type of insulation. Design A quasi-experimental retrospective cohort study using linked datasets to evaluate a national intervention programme. Participants 994 317 residents of 204 405 houses who received an insulation subsidy through the Energy Efficiency and Conservation Authority Warm-up New Zealand: Heat Smart retrofit programme between July 2009 and June 2014. Main outcome measure A difference-in-difference approach was used to compare the change in hospital admissions of the study population post-insulation with the change in hospital admissions of the control population that did not receive the intervention over the same two timeframes. Relative rate ratios were used to compare the two groups. Results 234 873 hospital admissions occurred during the study period. Hospital admission rates after the intervention increased in the intervention and control groups for all population categories and conditions with the exception of acute hospital admissions among Pacific Peoples (rate ratio 0.94, 95% confidence interval 0.90 to 0.98), asthma (0.92, 0.86 to 0.99), cardiovascular disease (0.90, 0.88 to 0.93), and ischaemic heart disease for adults older than 65 years (0.79, 0.74 to 0.84). Post-intervention increases were, however, significantly lower (11%) in the intervention group compared with the control group (relative rate ratio 0.89, 95% confidence interval 0.88 to 0.90), representing 9.26 (95% confidence interval 9.05 to 9.47) fewer hospital admissions per 1000 in the intervention population. Effects were more pronounced for respiratory disease (0.85, 0.81 to 0.90), asthma in all age groups (0.80, 0.70 to 0.90), and ischaemic heart disease in those older than 65 years (0.75, 0.66 to 0.83). Conclusion This study showed that a national home insulation intervention was associated with reduced hospital admissions, supporting previous research, which found an improvement in self-reported health.

Healthcare seeking and hospital admissions by people who inject drugs in response to symptoms of injection site infections or injuries in three urban areas of England

2014 ◽  
Vol 143 (1) ◽  
pp. 120-131 ◽  
Author(s):  
V. D. HOPE ◽  
F. NCUBE ◽  
J. V. PARRY ◽  
M. HICKMAN
Keyword(s):  
Hospital Admission ◽  
Injection Site ◽  
Urban Areas ◽  
People Who Inject Drugs ◽  
Hospital Admissions ◽  
Medical Advice ◽  
Respondent Driven Sampling ◽  
Open Wound ◽  
Factors Associated ◽  
Healthcare Burden

SUMMARYPeople who inject drugs (PWID) are vulnerable to infections and injuries at injection sites. The factors associated with reporting symptoms of these, seeking related advice, and hospital admission are examined. PWID were recruited in Birmingham, Bristol and Leeds using respondent-driven sampling (N = 855). During the preceding year, 48% reported having redness, swelling and tenderness (RST), 19% an abscess, and 10% an open wound at an injection site. Overall, 54% reported ⩾1 symptoms, with 45% of these seeking medical advice (main sources emergency departments and General Practitioners). Advice was often sought ⩾5 days after the symptom first appeared (44% of those seeking advice about an abscess, 45% about an open wound, and 35% for RST); the majority received antibiotics. Overall, 9·5% reported hospital admission during the preceding year. Ever being diagnosed with septicaemia and endocarditis were reported by 8·8% and 2·9%, respectively. Interventions are needed to reduce morbidity, healthcare burden and delays in accessing treatment.

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