Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE (Open Access)

Changes in paediatric Ambulatory Care Sensitive Conditions in Victoria, 2018–20: the COVID-19 effect?

Mary White A B C * , Simon Craig D E , Wanyu Chu A and Harriet Hiscock A C F
+ Author Affiliations
- Author Affiliations

A Health Services Research Unit, The Royal Children’s Hospital, Parkville, Melbourne, Vic., Australia.

B Department of Endocrinology & Diabetes, The Royal Children’s Hospital, Parkville, Melbourne, Vic., Australia.

C Department of Paediatrics, University of Melbourne, Parkville, Melbourne, Vic., Australia.

D Department of Paediatrics, Monash University, Clayton, Vic., Australia.

E Paediatric Emergency Department, Monash Medical Centre, Clayton, Vic., Australia.

F Health Services Group, Murdoch Children’s Research Institute, Parkville, Melbourne, Vic., Australia.

* Correspondence to: mary.white@rch.org.au

Australian Health Review 47(1) 77-87 https://doi.org/10.1071/AH22050
Submitted: 10 March 2022  Accepted: 21 September 2022   Published: 20 October 2022

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of AHHA. This is an open access article distributed under the Creative Commons Attribution 4.0 International License (CC BY).

Abstract

Objectives This study sought to describe the patterns in emergency department (ED) presentations and hospital admissions in children with Ambulatory Care Sensitive Conditions (ACSCs) before and during the coronavirus disease 2019 (COVID-19) pandemic restrictions in Victoria, Australia, to assess if changes in out-of-hospital care resulted in an increase in delayed/severe presentations.

Methods This study involved secondary analysis of Victorian Emergency Minimum Dataset and Victorian Admitted Episode Dataset data. Patients (<18 years) attending EDs with a diagnosis of an ACSC were included. We compared the number and severity of ASCS presentations pre-COVID-19 (1January 2018–27 March 2020) and during COVID-19 (28 March–31 October 2020). A linear regression prediction model was built to compare the observed versus predicted presentation number in the 2020 period.

Results In total, there were 108 104 paediatric ACSC ED presentations in Victoria during the study period. Females accounted for 51 462/108 104 (47.6%) of all presentations, with a median age of 3 years. A significant decrease in ED presentations was seen in 2020 (41 319 in 2018; 44 978 in 2019; and 21 807 until October 2020), predominantly due to reductions in conditions that are typically mediated by viruses in childhood (i.e. asthma, convulsions/epilepsy and ear, nose and throat conditions). The proportion of high-urgency presentations and those requiring admission was stable in 2020.

Conclusions An overall reduction in the number of ED presentations and admissions with paediatric ACSCs was seen in Victoria in 2020, indicating that rates of delayed or more severe presentations did not occur as a result of changes in out-of-hospital care.

Keywords: Ambulatory Care Sensitive Conditions, Australia, COVID-19, emergency department, hospital admissions, linked data, paediatric, pandemic, SARS‑CoV‑2, Victoria.

Introduction

Ambulatory Care Sensitive Conditions (ACSCs) are a defined group of conditions whereby adequate and timely primary level care may lead to avoidance of hospitalisation.1 Concerns about infection transmission during the coronavirus disease 2019 (COVID-19) pandemic led to significant societal changes worldwide in 2020. In Australia, there was a shift away from in-person consultations towards remote or telehealth consults. Visits to general practitioners declined,2 limiting the capacity to examine patients or offer preventive care at the primary care level. These changes also extended to dental care,3 where access to care was restricted to emergency situations only. There were concerns that these changes in access to traditional primary and preventative health care would lead to worsening health outcomes in children.

This study aimed to examine the associations between the timing of the COVID-19 pandemic and its associated public health restrictions, and to the characteristics of paediatric ACSCs in Victoria, Australia betweenJanuary 2018 and October 2020. Specifically, we sought to describe the number and urgency of emergency department (ED) presentations with paediatric ACSCs during the study period (overall and condition-specific), the proportion of those presenting to the ED who required admission to hospital, and the absolute number of hospital admissions.


Methods

We built a linear prediction model using routinely collected data from Victorian hospitals and EDs to examine the impact of the initial months of the COVID-19 pandemic on health service use for paediatric ACSCs in Victoria.

Data sources

We obtained ED presentation data from the Victorian Emergency Minimum Dataset (VEMD) and hospital separation data from the Victorian Admitted Episodes Dataset (VAED). The latter comprises de-identified demographic, clinical and administrative details for all admitted episodes occurring in both public and private Victorian hospitals.4 The VEMD data comprises de-identified demographic, administrative and clinical data, which is mandatorily collected from all 39 Victorian public hospitals with a designated ED.5 Each presentation has a single principal diagnosis recorded by an ED clinician using the International Statistical Classification of Diseases and Related Health Problems (Tenth Revision, Australian Modification (ICD-10-AM) codes).6

Study population

All episodes with presentations or admissions for ACSC in patients aged <18 years between 1 January 2018 and 31 October 2020, in Victoria, Australia, were included. We applied the 2020 definitions of a list of potentially preventable hospitalisations maintained by the Australian Institute of Health and Welfare7 to capture the conditions of interest for both VAED and VEMD. The following conditions were identified as relevant to children: urinary tract infection (UTI, including pyelonephritis); iron deficiency anaemia; diabetes complications; dental conditions; ear, nose and throat (ENT) infections; convulsions and epilepsy; and asthma. Cellulitis and vaccine-preventable conditions are also included within a traditional definition of ACSCs; however, they are not included in the data analysis. This was first due to the fact that the ACSC definition of cellulitis requires exclusion of certain procedures,8 the codes for which are not available in the VEMD. Second, we were unable to build a meaningful prediction model using the data for vaccine-preventable conditions as a result of the unusual spike in 2019 caused by an outbreak of influenza, which significantly skewed the pre-COVID-19 data. A full list of included and excluded ACSCs, along with the relevant ICD-10 codes used for data extraction, is available in supplementary online material (Supplementary File S1).

Outcome measures

The ED triage category in the VEMD records the Australasian Triage Scale, stratified according to urgency of need for medical and nursing care: 1 (resuscitation), 2 (emergency), 3 (urgent), 4 (semi-urgent), 5 (non-urgent).9 ED presentations that had a triage 1 or 2 classification were defined as ‘urgent’ episodes, whereas the rest were classified as ‘non-urgent’. Child socioeconomic status (SES) was derived from the patient residential postcode using the Australian Bureau of Statistics (ABS) Socio-Economic Indexes for Areas (SEIFA) and its derived Index of Relative Socio-economic Disadvantage (IRSD).10 The IRSD is an index of economic and social conditions of people and households in an area, based on census data; lower scores correspond to greater disadvantage. The IRSD was dichotomised for each patient presentation; ‘lower’ SES incorporated IRSD decile areas 1–5, whereas ‘higher’ SES incorporated IRSD deciles 6–10. Remoteness was defined based on the Remoteness Areas Structure within the Australian statistical geography standard (ASGS) of the ABS,11 dividing Australia into five classes of remoteness based on a measure of relative access to services: major cities, inner regional, outer regional, remote, and very remote. Inner regional, outer regional, remote, and very remote areas were aggregated and classified as regional Victoria, which covers all areas of Victoria, except metropolitan Melbourne.

Statistical analysis

The number of ED presentations and hospital admissions were converted into a monthly time series format and the entire observational period was divided into a pre-COVID-19 period and a COVID-19 period. The COVID-19 period in this Victorian context was defined from 31 March 2020 (start of stage 3 lockdown in Victoria when children could no longer attend school in person, community and indoor sports were closed, and employees could not attend the workplace if reasonable and practicable to work from home) to 31 October 2020 (end of the lockdown in 2020).12 Thus, the study period comprised 27 ‘pre-COVID-19’ and 7 ‘COVID-19’ months of observations, giving a total of 34 observation points.

Based on the observations occurring in the pre-COVID-19 period, a Poisson prediction model (with the number of presentations as the outcome variable and the time passed from the start of the observational period as the predictor) was built for each disorder group to predict what the number of monthly presentations/admissions in the COVID-19 period would have been, if the COVID-19 pandemic and associated restrictions had not happened and the pre-COVID-19 trend had continued. To quantify the uncertainty in the randomness associated with the point being predicted as well as in the coefficient estimates, 95% prediction intervals (PI) of the predicted ED presentation/admission numbers are reported. The difference between the observed and the predicted number was computed. Relative difference was then calculated by subtracting the predicted from the observed and dividing this by the predicted number. For each condition, a mean difference was then computed by averaging the sum of the monthly difference, and a mean relative difference was computed by averaging the sum of the relative difference of each month in the COVID-19 period.

Subgroup analyses by remoteness, socioeconomic status, presentation urgency, admitted proportion, sex, and age were conducted using a chi-squared test to investigate any characteristic change associated with ED presentations/hospital admissions before and during the COVID-19 restrictions.

Data were examined for distribution. Significantly skewed data (length of stay, LOS) was log transformed prior to analysis, based on the assumption that the distribution of LOS is log normal. The VEMD data were also assessed in terms of the ratio of presentations per individual to allow for an assessment of repeat presentations by the same child. All analyses were performed in R version 4.0.3 (R Development Core Team).

Ethics approval

The study obtained organisational approval from The Royal Children’s Hospital for an exemption from ethical review (Project ID: 70069).


Results

In total, there were 108 104 paediatric ACSC ED presentations in Victoria between 1 January 2018 and 31 October 2020, resulting in 31 371 admissions (28.9% of total presentations). A significant reduction in absolute presentation numbers was seen in the COVID-19 period compared to previous years (41 319 in 2018; 44 978 in 2019; and 21 807 until October 2020), with a decline in the proportion of presentations resulting in admission in 2020; 12 521 in 2018 (30.3%); 12 959 in 2019 (28.8%); and 5791 in 2020 (26.6%). This represents data for 70 813 individuals (33 069 in 2018; 22 383 in 2019; and 15 361 in 2020), 74 595 (69%) of whom were residing in metropolitan areas. Females accounted for 51 462/108 104 (47.6%) of all presentations, with a median [interquartile range; IQR] age of 3 years [1, 8]. Overall, in 2020, a significant reduction in presentations with ACSCs was detected at the peak of public health restrictions (March and September), with rebound spikes when lockdown measures were eased (June and October)consistently remaining below pre-pandemic levels (Fig. 1).


Fig. 1.  Trend in emergency department presentations with paediatric Ambulatory Care Sensitive Conditions, in Victoria, Australia from January 2018 to October 2020.
Click to zoom

The largest decline in the absolute number of presentations was observed relating to asthma, followed by ENT infections and convulsions/epilepsy (Table 1), which, when the data were analysed in the context of the number of observed versus predicted presentations, were noted to be <95% PI at all data timepoints (Fig. 2). An increase in the presentation: individual ratio was seen for convulsions/epilepsy and asthma during the COVID-19 period, whereas this measure was stable for all other conditions over time. Metropolitan Melbourne experienced a larger decrease in ED presentations relating to UTI, ENT infections, convulsions/epilepsy and asthma than regional Victoria.


Table 1.  Emergency department presentations with paediatric Ambulatory Care Sensitive Conditions in Victoria, Australia from January 2018 to October 2020.
Click to zoom


Fig. 2.  Observed versus predicted emergency department presentations with paediatric ACSCs, in Victoria, Australia from January 2018 to October 2020.
Click to zoom

A decrease in the number of low urgency ED presentations was noted from February 2020, rebounding during periods when lockdown measures were eased (Fig. 3). Higher urgency (triage category 4 and 5) presentations were stable over 2020, albeit at a slightly lower rate compared to either 2018 or 2019.


Fig. 3.  Emergency department presentations for paediatric ACSCs by severity, in Victoria, Australia from January 2018 to October 2020.
Click to zoom

Similarly, although the number of children presenting to the ED who were admitted to hospital reduced in line with the reductions in overall numbers (Fig. 4), the proportion who were admitted to hospital was stable over time for UTIs, iron deficiency anaemia, and dental conditions (Table 2). The proportion of children who attended with presentations relating to asthma and ENT infections who were admitted in the COVID-19 period reduced, whereas an increase in the proportion admitted was seen for those presenting with convulsions/epilepsy and diabetes complications (Table 3). In keeping with the above, a significant reduction was also seen in the absolute numbers of admissions for paediatric ACSC during COVID-19 lockdown periods (Table 4). There was no remarkable increase in LOS in hospital in 2020, and the overall number of intensive care unit (ICU) admissions slightly decreased during COVID-19 lockdown periods for children with ACSCs, with the exception of those who presented with diabetes complications.


Fig. 4.  Number and proportion of children presenting with ACSCs who were admitted from the emergency department, in Victoria, Australia from January 2018 to October 2020.
Click to zoom


Table 2.  Demographic and outcome data relating to emergency department presentations with paediatric Ambulatory Care Sensitive Conditions, in Victoria, Australia from January 2018 to October 2020.
Click to zoom


Table 3.  Observed versus predicted emergency department presentations with paediatric Ambulatory Care Sensitive Conditions, in Victoria, Australia from January to October 2020.
Click to zoom


Table 4.  Admissions with paediatric Ambulatory Care Sensitive Conditions with ACSCs, in Victoria, Australia from January to –October 2020.
Click to zoom


Discussion

In this first Australian report on the trends in paediatric ACSC across the first year of the COVID-19 pandemic, reduced presentations are shown in Victoria for conditions that are typically mediated or moderated by transmission of viral infections, notably ENT infections, seizures/epilepsy and asthma. The proportion of children presenting with ACSCs who required hospital admission was stable or reduced over time, with the exception of presentations relating to convulsions/epilepsy and diabetes complications, indicating that severity of presentation was not increased for the majority of children.

This reduction in viral-mediated conditions echoes international experience1316 and likely occurred as a combined result of increased handwashing, increased use of hand sanitisers, social distancing, school closures and reduced access to childcare facilities. In addition to the reductions in viral transmission,17 this may also reflect increased parental supervision and hence compliance with medications, reduction in air pollution due to reduced road traffic and an increase in preventative prescribing.18

Dental care provision effectively ceased in Victoria, except in emergency situations. Despite this, there was no observed increase in the number of dental presentations, which is of concern given that it would be expected that dental illness was still developing. Our data indicate that this has not been detected and in is contrast with the reported experience in Europe.19 No changes were seen in terms of the numbers or urgency of presentations relating to UTIs or anaemia, which has not previously been reported, but is expected given that these conditions are less likely to be affected by the environmental and societal changes that were experienced in Victoria in 2020.

Although we found no change in the numbers of presentations for diabetes complications, we did find an increase in the proportion of those who were admitted to hospital and also to ICU in 2020 compared to previous years. A rise in diabetic ketoacidosis (DKA) was seen during the first waves of COVID-19 in the quartile of countries with the highest COVID-19 mortality,20 but within Australia, there have been conflicting reports regarding changes to patterns of severity of presentation at diagnosis of type 1 diabetes.21,22 Given that we were unable to distinguish whether DKA was arising as part of a new presentation or from complications of existing diabetes, interpretation is limited to an interrogation of trends in presentation numbers over time, which did not increase in 2020. In the absence of clinical data (including acid–base status), we were limited to using admission rates and ICU admission as surrogate markers of severity. The vast majority of children with new-onset diabetes in Victoria are admitted to hospital for education and initial management, which makes hospital admission less relevant as an outcome measure in this population. The rates of admission to ICU may reflect increased bed availability (due to reduced surgical procedures and by the inherent reductions in overall ED presentations with viral infections) and, therefore, a more appropriate management pathway for children with severe DKA (who often require a prolonged period of ED management when ICU beds are not available) rather than a change in severity, per se.

Due to a large second wave of infections, those living in Victoria, particularly metropolitan Melbourne, endured longer public health restrictions than any other Australian state in 2020.23 These state-based population data provide a powerful insight into the function of the Victorian healthcare system during 2020. However, there are a number of factors that limit interpretation and further analyses. Analysis of ED data by diagnosis is complicated by the limited diagnostic information extracted from ED records and the quality of data entered,24 resulting in potential data gaps. In the Victorian datasets, a single diagnostic code is recorded and so it is not possible to assess presentation in terms of complexity (e.g. child with cerebral palsy and seizures) or to distinguish new-onset from established conditions (e.g. presentations with diabetes). As discussed above, in the absence of granular clinical data, admission to hospital and/or ICU was used a surrogate marker of severity. The latter in itself is subject to criticism, as the decision to admit a child to ICU may have been impacted by increased capacity of paediatric ICUs, as described above. Our findings suggest that health service planning during future pandemic events should take into account the likely fluctuations in ACSC presentations if similar lockdown measures are implemented, with a focus on ensuring that the most vulnerable people in our communities retain timely access to appropriate health care.


Conclusion

The societal changes and restrictions during the COVID-19 pandemic in Victoria resulted in an overall reduction in the number of viral-mediated paediatric ACSCs, without any short-term impact on the urgency of presentation of these conditions. Presentation numbers rebounded quickly between lockdown periods, and it is to be expected that further spikes in ED visits will occur as restrictions are eased further. As expected, there were no changes in the number or urgency of presentations for conditions that would not typically be affected by common viruses or interactions with the environment such as diabetes, iron deficiency anaemia and urinary tract infections.

The public health measures that were implemented in 2020 in Victoria were not only successful at avoiding widespread dissemination of COVID-19, but also led to a significant reduction in the transmission of endemic childhood viral illnesses, providing evidence for consistent messaging in terms of the benefits of handwashing and social exclusion during illness. This resulted in an increased capacity of the EDs to respond to any potential increases in SARS‑CoV‑2 presentations, which in this instance was avoided.


Supplementary material

Supplementary material is available online.


Data availability

The data that support this study were obtained from the Centre for Victorian Data Linkage (CVDL) by permission. Data will be shared upon reasonable request to the corresponding author subject to permission from the CVDL data custodians.


Conflicts of interest

The authors declare no conflicts of interests.


Declaration of funding

This project was supported by the Victorian Department of Health’s Victorian Collaborative Healthcare Recovery Initiative. The Murdoch Children’s Research Institute is supported by the Victorian Government’s Operational Infrastructure Support Program. HH is supported by a National Health and Medical Research Council (NHMRC) Practitioner Fellowship (1136222). SC’s work on this project has been supported by a grant from the Monash Health Foundation COVID-19 Research Fund.



Acknowledgements

The authors would like to acknowledge the Victorian Department of Health as the source of VAED and VEMD data for this study, and the Centre for Victorian Data Linkage (Victorian Department of Health) for the provision of data linkage. In addition, we thank Associate Professor Susan Donath from the Clinical Epidemiology and Biostatistics Unit at the Murdoch Children’s Research Institute for her guidance and advice around the data analysis for this paper.


References

[1]  Victorian Department of Health. Ambulatory Care Sensitive Conditions. Victorian Department of Health; 2022. Available at https://www2.health.vic.gov.au/public-health/population-health-systems/health-status-of-victorians/administrative-data-and-reports-health-of-victorians/ambulatory-care-sensitive-conditions

[2]  Scott A. The impact of COVID-19 on GPs and non-GP specialists in private practice. Melbourne Institute, Applied Economic & Social Research; 2022. Available at https://melbourneinstitute.unimelb.edu.au/__data/assets/pdf_file/0003/3436014/UoM-MI-ANZ_Brochure-FV.pdf

[3]  Hopcraft M, Farmer G. Impact of COVID-19 on the provision of paediatric dental care: Analysis of the Australian Child Dental Benefits Schedule. Community Dent Oral Epidemiol 2021; 49 369–76.
Impact of COVID-19 on the provision of paediatric dental care: Analysis of the Australian Child Dental Benefits Schedule.Crossref | GoogleScholarGoogle Scholar |

[4]  Victorian Department of Health. Victorian Admitted Episodes Database (VAED). Victorian Department of Health; 2022. Available at https://www2.health.vic.gov.au/hospitals-and-health-services/data-reporting/health-data-standards-systems/data-collections/vaed

[5]  Victorian Department of Health. Victorian Emergency Minimum Dataset (VEMD). Victorian Department of Health; 2022. Available at https://www2.health.vic.gov.au/hospitals-and-health-services/data-reporting/health-data-standards-systems/data-collections/vemd

[6]  Australian Institute of Health and Welfare, Metadate Online Registry. International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification 5th edition. 2008. Available at https://meteor.aihw.gov.au/content/index.phtml/itemId/325389

[7]  Australian Institute of Health and Welfare, Metadate Online Registry. National Healthcare Agreement: PI 18–Selected potentially preventable hospitalisations. 2020. Available at https://meteor.aihw.gov.au/content/658499

[8]  Ansari Z, Haider SI, Ansari H, de Gooyer T, Sindall C. Patient characteristics associated with hospitalisations for ambulatory care sensitive conditions in Victoria, Australia. BMC Health Serv Res 2012; 12 475
Patient characteristics associated with hospitalisations for ambulatory care sensitive conditions in Victoria, Australia.Crossref | GoogleScholarGoogle Scholar |

[9]  Australasian College for Emergency Medicine. Triage. ACEM; 2022. Available at https://acem.org.au/Content-Sources/Advancing-Emergency-Medicine/Better-Outcomes-for-Patients/Triage

[10]  Australian Bureau of Statistics. Socio-Economic Indexes for Areas. ABS; 2022. Available at https://www.abs.gov.au/websitedbs/censushome.nsf/home/seifa

[11]  Australian Bureau of Statistics. Remoteness structure: The Australian Statistical Geography Standard (ASGS). ABS; 2016. Available at https://www.abs.gov.au/websitedbs/d3310114.nsf/home/remoteness+structure

[12]  Parliment of Australia. Chronology of Victorian border closures due to COVID-19. Parliamentary Library and Information Service, Melbourne, Parliament of Victoria; 2021. Available at https://www.parliament.vic.gov.au/publications/research-papers/download/36-research-papers/14010-chronology-of-victorian-border-closures-due-to-covid-192020

[13]  Angoulvant F, Ouldali N, Yang DD, Filser M, Gajdos V, Rybak A, et al. Coronavirus Disease 2019 Pandemic: Impact Caused by School Closure and National Lockdown on Pediatric Visits and Admissions for Viral and Nonviral Infections-a Time Series Analysis. Clin Infect Dis 2021; 72 319–22.
Coronavirus Disease 2019 Pandemic: Impact Caused by School Closure and National Lockdown on Pediatric Visits and Admissions for Viral and Nonviral Infections-a Time Series Analysis.Crossref | GoogleScholarGoogle Scholar |

[14]  Taquechel K, Diwadkar AR, Sayed S, Dudley JW, Grundmeier RW, Kenyon CC, et al. Pediatric Asthma Health Care Utilization, Viral Testing, and Air Pollution Changes During the COVID-19 Pandemic. J Allergy Clin Immunol Pract 2020; 8 3378–87.e11.
Pediatric Asthma Health Care Utilization, Viral Testing, and Air Pollution Changes During the COVID-19 Pandemic.Crossref | GoogleScholarGoogle Scholar |

[15]  Gavish R, Krause I, Goldberg L, Bilavsky E, Kadmon G, Livni G, et al. A Drop in Number of Hospitalizations Among Children with Bacterial Infections During the COVID-19 Pandemic. Pediatr Infect Dis J 2021; 40 e39–41.
A Drop in Number of Hospitalizations Among Children with Bacterial Infections During the COVID-19 Pandemic.Crossref | GoogleScholarGoogle Scholar |

[16]  Davico C, Marcotulli D, Lux C, Calderoni D, Terrinoni A, Di Santo F, et al. Where have the children with epilepsy gone? An observational study of seizure-related accesses to emergency department at the time of COVID-19. Seizure 2020; 83 38–40.
Where have the children with epilepsy gone? An observational study of seizure-related accesses to emergency department at the time of COVID-19.Crossref | GoogleScholarGoogle Scholar |

[17]  Chavasse RJ. Covid-19: reduced asthma presentations in children. BMJ 2020; 370 m2806
Covid-19: reduced asthma presentations in children.Crossref | GoogleScholarGoogle Scholar |

[18]  Davies GA, Alsallakh MA, Sivakumaran S, Vasileiou E, Lyons RA, Robertson C, et al. Impact of COVID-19 lockdown on emergency asthma admissions and deaths: national interrupted time series analyses for Scotland and Wales. Thorax 2021; 76 867–73.
Impact of COVID-19 lockdown on emergency asthma admissions and deaths: national interrupted time series analyses for Scotland and Wales.Crossref | GoogleScholarGoogle Scholar |

[19]  Al Masri A, Abudrya MEH, Splieth CH, Schmoeckel J, Mourad MS, Santamaría RM. How did the COVID-19 pandemic lockdown affect dental emergency care in children? Retrospective study in a specialized pedodontic center. Quintessence Int 2021; 52 788–96.
How did the COVID-19 pandemic lockdown affect dental emergency care in children? Retrospective study in a specialized pedodontic center.Crossref | GoogleScholarGoogle Scholar |

[20]  Danne T, Lanzinger S, de Bock M, Rhodes ET, Alonso GT, Barat P, et al. A Worldwide Perspective on COVID-19 and Diabetes Management in 22,820 Children from the SWEET Project: Diabetic Ketoacidosis Rates Increase and Glycemic Control Is Maintained. Diabetes Technol Ther 2021; 23 632–41.
A Worldwide Perspective on COVID-19 and Diabetes Management in 22,820 Children from the SWEET Project: Diabetic Ketoacidosis Rates Increase and Glycemic Control Is Maintained.Crossref | GoogleScholarGoogle Scholar |

[21]  Atlas G, Rodrigues F, Moshage Y, Welch J, White M, O’Connell MA. Presentation of Paediatric Type 1 Diabetes in Melbourne, Australia during the Initial Stages of the COVID-19 Pandemic. J Paediatr Child Health 2020; 56 1654–5.
Presentation of Paediatric Type 1 Diabetes in Melbourne, Australia during the Initial Stages of the COVID-19 Pandemic.Crossref | GoogleScholarGoogle Scholar |

[22]  Lawrence C, Seckold R, Smart C, King BR, Howley P, Feltrin R, et al. Increased paediatric presentations of severe diabetic ketoacidosis in an Australian tertiary centre during the COVID-19 pandemic. Diabet Med 2021; 38 e14417
Increased paediatric presentations of severe diabetic ketoacidosis in an Australian tertiary centre during the COVID-19 pandemic.Crossref | GoogleScholarGoogle Scholar |

[23]  BBC News. Covid in Australia: Melbourne to exit 112-day lockdown. BBC News, 26 October 2020. Available at https://www.bbc.com/news/world-australia-54686812

[24]  Marson R, Taylor DM, Ashby K, Cassell E. Victorian Emergency Minimum Dataset: factors that impact upon the data quality. Emerg Med Australas 2005; 17 104–12.
Victorian Emergency Minimum Dataset: factors that impact upon the data quality.Crossref | GoogleScholarGoogle Scholar |