Management of fever in Australian children: a population-based sample survey

Background

Fever in childhood is a common acute presentation requiring clinical triage to identify the few children who have serious underlying infection. Clinical practice guidelines (CPGs) have been developed to assist clinicians with this task. This study aimed to assess the proportion of care provided in accordance with CPG recommendations for the management of fever in Australian children.

Methods

Clinical recommendations were extracted from five CPGs and formulated into 47 clinical indicators for use in auditing adherence. Indicators were categorised by phase of care: assessment, diagnosis and treatment. Patient records from children aged 0 to 15 years were sampled from general practices (GP), emergency departments (ED) and hospital admissions in randomly-selected health districts in Queensland, New South Wales and South Australia during 2012 and 2013. Paediatric nurses, trained to assess eligibility for indicator assessment and adherence, reviewed eligible medical records. Adherence was estimated by individual indicator, phase of care, age-group and setting.

Results

The field team conducted 14,879 eligible indicator assessments for 708 visits by 550 children with fever in 58 GP, 34 ED and 28 hospital inpatient settings. For the 33 indicators with sufficient data, adherence ranged from 14.7 to 98.1%. Estimated adherence with assessment-related indicators was 51.3% (95% CI: 48.1–54.6), 77.5% (95% CI: 65.3–87.1) for diagnostic-related indicators and 72.7% (95% CI: 65.3–79.3) for treatment-related indicators. Adherence for children < 3 months of age was 73.4% (95% CI: 58.0–85.8) and 64.7% (95% CI: 57.0–71.9) for children 3–11 months of age, both significantly higher than for children aged 4–15 years (53.5%; 95% CI: 50.0–56.9). The proportion of adherent care for children attending an ED was 77.5% (95% CI: 74.2–80.6) and 76.7% (95% CI: 71.7–81.3) for children admitted to hospital, both significantly higher than for children attending a GP (40.3%; 95% CI: 34.6–46.1).

Conclusions

This study reports a wide range of adherence by clinicians to 47 indicators of best practice for the management of febrile children, sampled from urban and rural regions containing 60% of the Australian paediatric population. Documented adherence was lowest for indicators related to patient assessment, for care provided in GP settings, and for children aged 4–15 years.

Fever is a common acute presentation in childhood, recently estimated to contribute 15–25% of consultations in primary care and emergency departments (EDs) [1]. Although raised body temperature has a number of causes it is most often associated with infection, the aetiology of which has continued to evolve alongside immunisation regimes [1,2,3,4,5].

In Australia, children with a fever may be seen by a GP, occasionally by a specialist paediatrician, or they may present to a hospital ED. A 2012 retrospective analysis found that 7.2% of febrile children under 5 years of age who presented to a specialist Australian children’s hospital had a serious bacterial infection, comprising: urinary tract infections (3.4%); pneumonia (3.4%); bacteraemia (0.4%); osteomyelitis (0.08%); meningitis (0.05%); and septic arthritis (0.04%) [6].

Most children present as mildly unwell, so the key challenge for clinicians is to quickly triage those few with serious underlying infections who are at risk of deterioration, whilst avoiding over-investigation and over-medication of the many children whose fever will resolve and only require symptomatic support and reassurance. Clinical practice guidelines (CPGs), prediction rules and pathways aim to assist clinician judgement in distinguishing self-limiting viral conditions from more serious illnesses, including life-threatening sepsis, and in managing care appropriately.

The CareTrack Kids (CTK) study retrospectively assessed care provided to a sample of Australian children aged 0–15 years, in 2012 and 2013, to determine the proportion who received care in line with CPG recommendations for 17 common conditions [7]. The proportion of care provided in accordance with CPG recommendations (adherent care) across all the 17 conditions averaged 59.8% (95% CI: 57.5–62.0) [7]. This report presents the CTK findings for children presenting with fever.

The CTK methods have been described in detail elsewhere [7,8,9]. We further describe some aspects specifically relevant to fever.

Development of indicators

A systematic search was conducted for Australian and international CPGs relating to fever in children published from 2005 to 2013. This search yielded one international guideline from the UK [10], one from a US paediatric hospital [11], one from an Australian paediatric hospital [12] and two from Australian state health entities [13, 14]. From these five CPGs, 87 recommendations were extracted and assessed for inclusion with 39 draft recommendations selected for review. During internal and external expert review, recommendations were excluded due to low acceptability, feasibility, or impact; if the concept was covered in other recommendations(s); or rated with a low appropriateness score by reviewers [9].

Thirteen recommendations were retained after review, and these were formatted into 47 medical record audit questions, hereafter referred to as ‘indicators’. Of those, 21 were restricted to specific age-groups, and 15 were restricted to specific settings (four to GPs, six to ED presentations, three to either ED presentations or inpatients, and two to either GP or ED presentations). Indicators were categorised as indicating underuse or overuse. Details of all indicators are shown in Additional file 1: Table S1.

Sampling strategy

CTK targeted 400 medical records for fever and 6000 medical records for 16 other common childhood conditions. If any of the 6400 targeted medical records contained care for fever, a separate assessment of adherent care was made for each visit. Detail on the general sampling methods are provided elsewhere [7]; additional details specific to fever can be found in Additional file 2. Briefly, four settings were sampled: hospital inpatients, ED presentations, and consultations at GPs and paediatricians’ offices in the community. These care settings were located in randomly-selected health administrative districts in Queensland, New South Wales and South Australia. Figure 1 illustrates the breakdown of assessment settings by state.

Fever assessments by state and health care provider type. Total number of visits to Emergency Departments = 393; total number of admissions to hospital = 98; total number of visits to General Practitioners = 217. Total number of fever assessments in: New South Wales = 303; Queensland = 227; and South Australia = 178. Total number of visits assessed for care of fever in sampling frame = 708. [Adapted from https://mapchart.net/, CC BY-SA 4.0]

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Eligible children were those aged ≤15 years who received care in 2012 and 2013. For care of fever, only one visit to a paediatrician was sampled, so this setting was removed prior to analysis. For the CTK study, the recruitment rate was 92% for hospitals, and was estimated to be 24% for GPs (Additional file 2). Nine experienced paediatric nurses, trained to assess eligibility for indicator assessment and adherence to CPGs, collected data. Medical records for selected visits in 2012 and 2013 were reviewed on-site at each participating facility during March–October 2016.

Data analysis

Adherence was measured as the percentage of responses for each eligible indicator (i.e. answered ‘Yes’ or ‘No’) which was scored as ‘Yes’. Sampling weights were constructed as specified in Additional file 2 to adjust for oversampling of states and some settings, and for sampling within health districts [7]. The weighted data were analysed using SAS software, Version 9.4 (SAS Institute Inc., North Carolina, USA), using the SURVEYFREQ procedure. Variance was estimated by Taylor series linearization and the primary sampling unit (health district) was specified as the clustering unit. Stratification and, where appropriate, domain analyses were used (Additional file 2). Exact 95% CIs were generated using the modified Clopper-Pearson method. Results were suppressed if there were < 25 assessments.

Results were analysed for each indicator by age and grouped into phases of care relevant to the fever condition: ‘Assessment’ (documentation of relevant clinical history, signs and symptoms), ‘Diagnostics’ (any tests or investigations undertaken) and ‘Treatment’ (any therapy administered, including ongoing care and advice). Four age groups were chosen based on presumed risk differences and alignment with age group specific indicators: < 3 months; 3–11 months; 1–3 years; and 4–15 years. Phase of care results are not independent, as the same child generally has multiple phases of care in the one visit, so we report differences between point estimates but make no claims with respect to their statistical significance. Some non-contiguous age-group results (e.g., < 1 year vs > 3 years) and some settings (e.g., GPs vs hospital results) are independent and differences were compared statistically. Results were also analysed according to the setting of care.

Ethical considerations

Primary ethics approval was received from relevant bodies including the Royal Australian College of General Practitioners (NREEC 14–008) and state hospital networks (HREC/14/SCHN/113; HREC/14/QRCH/91; HREC/14/WCHN/68), and site-specific approvals from 34 sites. All relevant bodies provided approval to waive requirements for patient consent for external access to medical records [8]. Ethics approvals included reporting by healthcare setting type for condition-level data. Participants were protected from litigation by gaining statutory immunity for CTK as a quality assurance activity, from the Federal Minister for Health under Part VC of the Health Insurance Act 1973 (Commonwealth of Australia).

Medical records reviewed

Details of the 550 children with one or more visits for fever are provided in Table 1. Almost three-quarters of the children in the sample were under 4 years of age, with more males (56.2%) than females. Each child had 1–6 fever visits (median = 1).

Of 38,023 possible indicator assessments, 13,096 (34.4%) were automatically filtered by age, setting or both, and a further 10,048 (26.4%) were assessed as not applicable or otherwise ineligible. The field team conducted 14,879 eligible indicator assessments grouped into 708 visits, at a median of 22 indicators per visit. Fever visits were assessed in 58 GP (n = 217), 34 ED (n = 393) and 28 inpatient settings (n = 98).

Adherence

The estimated proportion of care adherent for each indicator is shown in Table 2. Adherence is not reported for 14 of the 47 indicators, as they had < 25 assessments. For the 33 indicators where results were reported, mean adherence was 53.5% (95% CI: 50.0–56.9) and ranged from 14.7% for indicator FEVE11 (presence of joint symptoms documented) to 98.1% for FEVE37 (infants aged < 3 months who presented to the ED had a urinalysis with culture performed). The median estimated adherence for the 33 reported indicators was 65.8% (interquartile range 39.8 to 85.1%).

All indicators, except one, examined ‘underuse’ of recommended activities. FEVE29, the exception, measured ‘overuse’; specifically, to prescribe antibiotics for well children aged ≥3 years who had a fever with unknown clinical focus. Adherence was measured at 78.8% for this indicator (95% CI: 51.1–95.0).

When indicators were grouped by phase of care, adherence for Assessment-related indicators averaged 51.3% (95% CI: 48.1–54.6), over 20 percentage points lower than for Diagnostic-related indicators at 77.5% (95% CI: 65.3–87.1) and for Treatment-related indicators at 72.7% (95% CI: 65.3–79.3). Table 3 presents this information further stratified by age-group and it is graphically displayed in Fig. 2. For children under 3 months of age, adherence was 73.4% (95% CI: 58.0–85.8) and for children aged 3–11 months of age, 64.7% (95% CI: 57.0–71.9), both significantly higher than for children aged 4–15 years (53.5%; 95% CI: 50.0–56.9).

Average adherence by phase of care and age group, 2012–2013

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The proportion of adherent care received by children attending an ED was 77.5% (95% CI: 74.2–80.6) and 76.7% (95% CI: 71.7–81.3) for children admitted to hospital, both significantly higher than for children attending a GP (40.3%; 95% CI: 34.6–46.1); see Table 4.

The CTK study was a large-scale survey sampling from 60% of Australia’s paediatric population in three states, including 550 medical record reviews for febrile children presenting to GPs and EDs of general or speciality hospitals or admitted as inpatients. The fever study, as a subset of the broader CTK report [7], examined a cohort of children (0–15 years) where care for fever was documented in their clinical record. Adherence was assessed for 47 indicators derived from CPG guidelines and considered by expert panels to be reflective of best practice. As the study was retrospective, it is not possible to determine whether lack of adherence was because the recommended care was not provided by the clinician at the point of care, or simply not documented in the medical record.

It is reassuring that higher adherence seemed to be directly proportional to the degree of risk of serious underlying disease. For example, for infants < 3 months presenting to ED with a fever (FEVE35–37), appropriateness of care relating to investigations was > 90% for all three indicators. Adherence was higher for infants < 3 months than children aged 4–15 years. Others have commented on the high risk of serious bacterial infections in neonates and infants < 3 months, as well as the relative consistency of both guidelines and practice in these age groups compared to older children [1, 15]. One explanation for the lower adherence for children aged 4–15 years may be that as CPGs are focussed on care for children who are under 5 years old or less [10,11,12,13,14], clinicians may be less likely to use them as a guide for older children.

We found higher adherence in inpatient and ED settings than for the GP setting. It is possible that these differences reflect the inherent contextual constraints of the GP setting. Time pressures are likely to affect documentation, particularly during the Assessment phase of care when responses are a result of yes/no questioning, and when a negative result is received. There may also be a degree of assumed risk stratification when children and babies are taken to a GP rather than an ED. GPs may not consider the guidelines as reliable or valid for their practice [16] nor may they be aware of their existence [17] as the three Australian guidelines that were used for this study were released by either Departments of Health (in New South Wales [13] and South Australia [14]) or a children’s hospital [12]. None of these were endorsed by recognised GP organisations.

Clinicians were more often adherent with indicators pertaining to the Diagnostics and Treatment phases of care than for the Assessment phase of care (Fig. 2). Considering documentation as a factor in such differences, it may be more likely to be neglected during assessment when it is not an inherent function of the care process, as distinct from ordering tests or prescribing treatment.

The Assessment phase of care incorporated almost half (n = 21) of all 47 clinical indicators included for the fever condition, a bias supported by the literature [1, 2, 18] where emphasis is placed on gathering as much “hands-off’ information as possible about the febrile child. The average adherence during the Assessment phase of fever care exhibited wide variability in our study, ranging from 14.7 to 90.4%. In contrast, the care provided during the Diagnostics phase of care was uniformly high across the eight reported indicators. Over three-quarters of the care provided to children in this phase of care was adherent, with infants < 3 months faring particularly well (> 90% adherence). The Treatment phase of care also yielded higher adherence though no pattern emerges when analysed by age, however it should be noted that there were insufficient data to assess the appropriateness of many of the treatment decisions for infants and for toxic children in older age groups.

Comparison with other studies

An adherence rate of 51.4% (95% CI: 43.2–59.6) was estimated in the 148 eligible children with fever (< 18 years of age) in a USA ambulatory setting, whose care was assessed for 15 indicators [19]. While the overall adherence rate is similar, results at the indicator level were not always directly comparable. For example, in the US study urine cultures were obtained for 16.2% of children 3 to 36 months of age, whereas over 78% of children in the same age group received urine microscopy in our study. Two further studies of febrile infants attending paediatric EDs in the USA, show wide variation in adherence to recommended management for febrile neonates [20], and poor adherence to current guidelines for diagnostic evaluation, particularly for infants aged 60–90 days [15]. Both studies concluded that further research is required to understand the determinants of variability before strategies can be employed to improve adherence.

Guidelines and rules have been developed but consistency and efficacy could improve

CPGs on the management of fever in children have been developed, assessed and revised over several decades by many expert bodies to better guide practitioners in delivering appropriate care [21]. Yet, definitive conclusions on some aspects of fever management remain contested, particularly for children > 28 days, where recommended investigations and thresholds for antibiotic administration vary considerably [22]. A recent international systematic review of guidelines for the symptomatic management of fever in children identified seven common recommendations and ten discordant recommendations–mostly concerning pharmacological approach–from amongst the seven guidelines evaluated using the Appraisal of Guidelines for Research & Evaluation AGREE II tool [21].

Clinical prediction rules and models have also been developed, to improve diagnostic performance in particular [1]. A recent study, comparing four widely used clinical prediction rules and two national guidelines, found that none had perfect diagnostic accuracy and none were considered valuable in ED settings [23]. This lack of consistency and accuracy in the recommended care of children with fever present real challenges for clinicians aiming to deliver high quality care. A computer-assisted diagnostic decision system developed in Australia [18], integrating 40 clinical variables, shows more promise to improve sensitivity and thus early treatment.

Interventions that improve adherence

Even when clinicians are aware of the evidence and are willing to change practice accordingly, altering well established care processes can be difficult without a thorough ‘due diligence’ phase (assessment of barriers and determinants prior to implementation) and a supportive environment conducive to quality improvement [24,25,26]. A multifaceted, organisationally relevant approach is necessary, with educational outreach, buy-in and support of both clinicians and executives, underpinned by a systemic, real-time capacity to prompt, monitor, evaluate and feedback on practice [27,28,29,30].

Organisational culture is both a determinant and a product of standardisation of care, adherence to available guidelines and quality improvement [24]. When shared purpose, teamwork and enthusiasm to learn and improve dominate organisational culture, the introduction of standardisation and of evidence-based practice finds fertile ground and far fewer obstacles [31,32,33,34,35].

Strengths and weakness of the study

There are strengths and limitations to both the overall CTK study [7] and the fever-specific results reported here. Predictably, few febrile children presented directly to specialist paediatrician’s offices, requiring this setting to be removed prior to analysis. This reflects the referral pathways that are in place in Australia where a GP referral is required before a child can be seen in an ambulatory setting by a specialist paediatrician, subsidised by universal insurance.

While hospitals had excellent participation rates, we estimate that around a quarter of GPs were recruited. Accordingly, the potential impact of self-selection bias cannot be excluded, and it may have led to over-estimating adherence.

There were insufficient data to draw any conclusions about the care of neonates, infants and children in the highest risk categories (in shock, unrousable, toxic or showing signs of meningococcal disease), to come to any conclusions on the appropriateness of care for each of these important sub-cohorts. A larger sample size, or a sampling strategy targeting higher risk children, may have overcome this obstacle.

The study assessed processes of care during a visit without distinguishing between primary and subsequent visits for the same febrile episode. The study is therefore unable to provide information on issues such as the frequency of re-visits which may have resulted from missed diagnosis.

Like other studies on appropriateness of care [36, 37], the CTK study utilised medical record review to assess adherence to best practice. Clinicians may, understandably, be more inclined to document aspects of a history that are abnormal or elicit a result of positive value in elucidating the source of fever. We speculate that this may contribute to the lower levels of adherence in the GP setting as well as for the Assessment phase across all provider types. To partially mitigate this weakness, any indicators that the expert panels perceived to be unlikely to be documented were eliminated from the fever set during indicator selection. It is also possible that the opposite may have occurred, and assessments, investigations or treatments were documented without being carried out.

A strength of the study is that it did not restrict the assessment of appropriateness to just one meritorious guideline on fever. Rather, it aimed to assess best practice by selecting common recommendations from a range of reputable guidelines likely to be used by Australian clinicians. Expert groups then validated their inclusion based on acceptability, feasibility, and impact. A further strength of this study was the inclusion of all age ranges and care settings relevant to febrile illness in children.

This study estimated a wide range of documented adherence to 33 indicators for the care of fever by clinicians in Australia. Overall, just over half of the care provided to children with fever was adherent, suggesting the need to further elucidate the reasons why clinicians deviate from best practice.

There are clearly opportunities for improvement, particularly in relation to the documentation of history and clinical assessment of children aged 12 months and over. Our findings suggest that appropriateness of care is relatively high for infants < 3 months of age, for children of all ages who are classified as unwell, and for children aged 3 months to 3 years with no clear source of infection.

Our findings reinforce the need for the adoption of nationally consistent guidelines tailored for the management of fever in childhood across all ages and all healthcare provider settings and regularly updated in line with the changing epidemiology of serious infection in children. Clinician access to such guidance must be quick, reliable and relevant to the care setting. The principle of planning globally whilst acting locally applies well.

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

AGREE II:

Appraisal of Guidelines for Research & Evaluation tool

CPG:

clinical practice guideline

CTK:

CareTrack Kids study

ED:

emergency departments

FEVE11; FEVE37; FEVE35–37:

Quality indicator identifications for fever

GP:

general practices

SURVEYFREQ:

name of the SAS procedure used for sample survey data

Not applicable.

This work was supported by an Australian National Health and Medical Research Council Partnership Grant (APP1065898), with contributions by the National Health and Medical Research Council, Bupa Health Foundation, Sydney Children’s Hospital Network, New South Wales Kids and Families, Children’s Health Queensland, and the South Australian Department of Health (SA Health). The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Affiliations

1. Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, North Ryde, NSW, 2109, Australia
   • Joanna Holt
   • , Leslie White
   • , Gaston Arnolda
   • , Hsuen P. Ting
   • , Peter D. Hibbert
   •  & Jeffrey Braithwaite
2. School of Women’s and Children’s Health, University of NSW, Sydney, Australia
   • Leslie White
3. Sydney Children’s Hospitals Network, Westmead, Australia
   • Leslie White
   •  & Shefali Jani
4. Division of Paediatric Medicine, Women’s and Children’s Health Network, SA Health, Adelaide, Australia
   • Gavin R. Wheaton
   •  & Helena Williams
5. Southern Adelaide Local Health Network, Adelaide, Australia
   • Helena Williams
6. Australian Centre for Precision Health School of Health Science, University of South Australia, Adelaide, Australia
   • Peter D. Hibbert
7. South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
   • Peter D. Hibbert

Consortia

Contributions

JB, PDH designed the overall study. LW, HW, SJ, GRW contributed to the design of the fever study. JB, PDH, GA, HPT, carried out the collection and statistical analysis of the data. JH drafted the manuscript and was responsible for coordination of all aspects of the work. LW assisted in drafting, analysis and made substantial contributions to all areas of the work. GRW, HW, SJ reviewed and made contributions to the manuscript. All authors contributed to the interpretation of results and the final manuscript.

Corresponding author

Correspondence to Jeffrey Braithwaite.

Ethics approval and consent to participate

Primary ethics approval was received from hospital networks including Sydney Children’s Hospital Network (HREC/14/SCHN/113); Children’s Health Queensland Hospital and Health Service (HREC/14/QRCH/91; Women’s and Children’s Health Network (South Australia) (HREC/14/WCHN/68) and the Royal Australian College of General Practitioners (NREEC 14–008), and site-specific approvals from 34 sites.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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