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      Effect of the COVID-19 pandemic on emergency department attendances for pediatric injuries in Mozambique’s central hospitals: an interrupted time series and a comparison within the restriction periods between 2019 and 2020

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          Abstract

          Objectives

          Hospital-based studies indicate that restriction measures imposed during the COVID-19 pandemic have affected the number and characteristics of pediatric injuries. However, few studies have been conducted in resource-poor countries. This study aimed to determine whether injury-related emergency department (ED) attendances in Mozambique were affected during the restriction periods in 2020 and how the pattern of injury changed.

          Methods

          Mozambique faced two restriction periods in 2020. An interrupted time series was applied to weekly data of pediatric injuries from the ED records of four central hospitals in Mozambique in 2019 and 2020. Weekly numbers of injuries were modeled using a Poisson regression model to estimate the effect of COVID-19 restrictions on trends over calendar time. Then, for each restriction period, differences in injury mechanisms, severity, need for surgery, and intensive care unit (ICU) attendances were compared between 2019 and 2020.

          Results

          During the 76 weeks preceding the restrictions, there was a stable trend in ED attendances. The weekly number dropped by 48.7% after implementation of the first restrictions. By the end of 2020, the weekly numbers were back to the levels observed before the restrictions. Road traffic injuries (RTIs) and falls dropped during the first restriction period and RTIs and burns during the second. There was an increase of 80% in ICU attendances in all periods of 2020 at three hospitals during the first and second restriction periods.

          Conclusion

          The COVID-19 restrictions yielded a reduction in the weekly number of pediatric injuries seen at Mozambique’s central hospitals, above all RTIs and falls. The drop reflects reductions in visits most importantly for RTIs, falls, and burns, but was accompanied by an increase in the proportion of ICU cases. This effect was not maintained when the restrictions were relaxed. Whether this reflects reduced exposure to injury or hesitancy to seek care remains to be determined.

          Level of evidence

          Level III, retrospective study with up to two negative criteria.

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          Most cited references45

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          Interrupted time series regression for the evaluation of public health interventions: a tutorial

          Abstract Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the essential, yet often omitted, step of proposing the impact model a priori. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Finally we describe the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders, and we also outline some of the more complex design adaptations that can be used to strengthen the basic ITS design.
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            The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013

            Background The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country. Methods Injury mortality was estimated using the extensive GBD mortality database, corrections for ill-defined cause of death and the cause of death ensemble modelling tool. Morbidity estimation was based on inpatient and outpatient data sets, 26 cause-of-injury and 47 nature-of-injury categories, and seven follow-up studies with patient-reported long-term outcome measures. Results In 2013, 973 million (uncertainty interval (UI) 942 to 993) people sustained injuries that warranted some type of healthcare and 4.8 million (UI 4.5 to 5.1) people died from injuries. Between 1990 and 2013 the global age-standardised injury DALY rate decreased by 31% (UI 26% to 35%). The rate of decline in DALY rates was significant for 22 cause-of-injury categories, including all the major injuries. Conclusions Injuries continue to be an important cause of morbidity and mortality in the developed and developing world. The decline in rates for almost all injuries is so prominent that it warrants a general statement that the world is becoming a safer place to live in. However, the patterns vary widely by cause, age, sex, region and time and there are still large improvements that need to be made.
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              Use of interrupted time series analysis in evaluating health care quality improvements.

              Interrupted time series (ITS) analysis is arguably the strongest quasi-experimental research design. ITS is particularly useful when a randomized trial is infeasible or unethical. The approach usually involves constructing a time series of population-level rates for a particular quality improvement focus (eg, rates of attention-deficit/hyperactivity disorder [ADHD] medication initiation) and testing statistically for a change in the outcome rate in the time periods before and time periods after implementation of a policy/program designed to change the outcome. In parallel, investigators often analyze rates of negative outcomes that might be (unintentionally) affected by the policy/program. We discuss why ITS is a useful tool for quality improvement. Strengths of ITS include the ability to control for secular trends in the data (unlike a 2-period before-and-after t test), ability to evaluate outcomes using population-level data, clear graphical presentation of results, ease of conducting stratified analyses, and ability to evaluate both intended and unintended consequences of interventions. Limitations of ITS include the need for a minimum of 8 time periods before and 8 after an intervention to evaluate changes statistically, difficulty in analyzing the independent impact of separate components of a program that are implemented close together in time, and existence of a suitable control population. Investigators must also be careful not to make individual-level inferences when population-level rates are used to evaluate interventions (though ITS can be used with individual-level data). A brief description of ITS is provided, including a fully implemented (but hypothetical) study of the impact of a program to reduce ADHD medication initiation in children younger than 5 years old and insured by Medicaid in Washington State. An example of the database needed to conduct an ITS is provided, as well as SAS code to implement a difference-in-differences model using preschool-age children in California as a comparison group. Copyright © 2013 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Trauma Surg Acute Care Open
                Trauma Surg Acute Care Open
                tsaco
                tsaco
                Trauma Surgery & Acute Care Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2397-5776
                2023
                14 July 2023
                14 July 2023
                : 8
                : 1
                : e001062
                Affiliations
                [1 ]departmentDepartment of Global Public Health , Ringgold_123913Karolinska Institute , Stockholm, Sweden
                [2 ]departmentDepartment of Surgery , Ringgold_247527University of Eduardo Mondlane Faculty of Medicine , Maputo, Mozambique
                [3 ]departmentDepartment of Community Health , Ringgold_247527University of Eduardo Mondlane Faculty of Medicine , Maputo, Mozambique
                [4 ]departmentDivision of Emergency Medicine , Ringgold_63726University of Cape Town Faculty of Health Sciences , Cape Town, South Africa
                [5 ]departmentInstitute for Social and Health Sciences , Ringgold_225520University of South Africa , Pretoria, South Africa
                Author notes
                [Correspondence to ] Dr Vanda Amado; vanda.amado@ 123456ki.se
                Author information
                http://orcid.org/0000-0002-8839-984X
                Article
                tsaco-2022-001062
                10.1136/tsaco-2022-001062
                10350904
                37484836
                bc55c842-0f08-44b4-ad68-dac6f3e2e33e
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 17 November 2022
                : 25 May 2023
                Funding
                Funded by: Swedish International Development Cooperation Agency (SIDA).;
                Award ID: Grant number: 51140073
                Categories
                Original Research
                1506
                2474
                Custom metadata
                unlocked
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                covid-19,pediatrics,accidental injuries,emergency treatment

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