Marco Alibone, Marion Ludwig, Christina Simantiri, Josephine Jacob, Dirk Enders
{"title":"预测COVID-19期间医疗保健服务的利用——基于常规数据的预测模型","authors":"Marco Alibone, Marion Ludwig, Christina Simantiri, Josephine Jacob, Dirk Enders","doi":"10.1016/j.hlpt.2025.101030","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The COVID-19 pandemic has significantly impacted global healthcare systems through the prioritisation of COVID-19 cases and the reallocation of resources, leading, for example, to a postponement of elective procedures. This study quantifies the impact of the COVID-19 pandemic on healthcare utilization in 2020 and 2021.</div></div><div><h3>Methods</h3><div>Forecasting models were trained using data from the pre-pandemic years 2013 to 2019. The most suitable model was used to predict a trend in healthcare utilization unaffected by the pandemic in the two pandemic years. Deviations between observed and predicted utilization were interpreted as the pandemic impact on healthcare.</div></div><div><h3>Results</h3><div>During the COVID-19 pandemic, all-cause hospitalizations declined across the first three waves. The first drop occurred in April 2020, with hospitalization rates falling to 1.7 times below expected pre-pandemic levels. A second drop began in November 2020, reaching 1.4 times below expected levels by January 2021. Hospitalizations returned to pre-pandemic levels after strict lockdown measures eased. These declines affected elective procedures but also life-threatening conditions, such as myocardial infarctions (MI). In March and April 2020, admissions for these events were 1.29 times below expected levels. By July 2020, however, MI hospitalization increased, reaching 0.87 times higher than typical pre-pandemic rates.</div></div><div><h3>Discussion</h3><div>We investigate for the first time the impact of the pandemic on healthcare in Germany using modern forecasting methods showing delayed hospitalizations for acute conditions like MI. Findings highlight the need to protect vulnerable groups and underscore the importance of further research on long-term health impacts and improved public health responses.</div></div><div><h3>Lay summary</h3><div>The COVID-19 pandemic has significantly disrupted healthcare provision by prioritising COVID-19 cases over other conditions, leading to postponement of interventions and reduced care for serious problems such as myocardial infarctions (MI). This study examined healthcare utilization in Germany in 2020–2021 by comparing observed hospitalisations with predicted values based on pre-pandemic trends from 2013–2019. The results showed a sharp decline in hospitalisations during the first three pandemic waves. In April 2020, hospital admissions fell to almost half the expected level, with a second decline at the end of 2020. Normalisation only set in when the lockdown measures were lifted. Crucially, admissions for life-threatening conditions such as MI also fell temporarily, showing a time lag in hospital admissions. This analysis emphasises the importance of ensuring access to healthcare for critical illnesses, even in times of pandemic, to reduce negative health impacts and improve the resilience of healthcare in future crises.</div></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"14 3","pages":"Article 101030"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the utilization of healthcare services during COVID-19 - forecasting models based on routine data\",\"authors\":\"Marco Alibone, Marion Ludwig, Christina Simantiri, Josephine Jacob, Dirk Enders\",\"doi\":\"10.1016/j.hlpt.2025.101030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The COVID-19 pandemic has significantly impacted global healthcare systems through the prioritisation of COVID-19 cases and the reallocation of resources, leading, for example, to a postponement of elective procedures. This study quantifies the impact of the COVID-19 pandemic on healthcare utilization in 2020 and 2021.</div></div><div><h3>Methods</h3><div>Forecasting models were trained using data from the pre-pandemic years 2013 to 2019. The most suitable model was used to predict a trend in healthcare utilization unaffected by the pandemic in the two pandemic years. Deviations between observed and predicted utilization were interpreted as the pandemic impact on healthcare.</div></div><div><h3>Results</h3><div>During the COVID-19 pandemic, all-cause hospitalizations declined across the first three waves. The first drop occurred in April 2020, with hospitalization rates falling to 1.7 times below expected pre-pandemic levels. A second drop began in November 2020, reaching 1.4 times below expected levels by January 2021. Hospitalizations returned to pre-pandemic levels after strict lockdown measures eased. These declines affected elective procedures but also life-threatening conditions, such as myocardial infarctions (MI). In March and April 2020, admissions for these events were 1.29 times below expected levels. By July 2020, however, MI hospitalization increased, reaching 0.87 times higher than typical pre-pandemic rates.</div></div><div><h3>Discussion</h3><div>We investigate for the first time the impact of the pandemic on healthcare in Germany using modern forecasting methods showing delayed hospitalizations for acute conditions like MI. Findings highlight the need to protect vulnerable groups and underscore the importance of further research on long-term health impacts and improved public health responses.</div></div><div><h3>Lay summary</h3><div>The COVID-19 pandemic has significantly disrupted healthcare provision by prioritising COVID-19 cases over other conditions, leading to postponement of interventions and reduced care for serious problems such as myocardial infarctions (MI). This study examined healthcare utilization in Germany in 2020–2021 by comparing observed hospitalisations with predicted values based on pre-pandemic trends from 2013–2019. The results showed a sharp decline in hospitalisations during the first three pandemic waves. In April 2020, hospital admissions fell to almost half the expected level, with a second decline at the end of 2020. Normalisation only set in when the lockdown measures were lifted. Crucially, admissions for life-threatening conditions such as MI also fell temporarily, showing a time lag in hospital admissions. This analysis emphasises the importance of ensuring access to healthcare for critical illnesses, even in times of pandemic, to reduce negative health impacts and improve the resilience of healthcare in future crises.</div></div>\",\"PeriodicalId\":48672,\"journal\":{\"name\":\"Health Policy and Technology\",\"volume\":\"14 3\",\"pages\":\"Article 101030\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Policy and Technology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211883725000589\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211883725000589","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Predicting the utilization of healthcare services during COVID-19 - forecasting models based on routine data
Background
The COVID-19 pandemic has significantly impacted global healthcare systems through the prioritisation of COVID-19 cases and the reallocation of resources, leading, for example, to a postponement of elective procedures. This study quantifies the impact of the COVID-19 pandemic on healthcare utilization in 2020 and 2021.
Methods
Forecasting models were trained using data from the pre-pandemic years 2013 to 2019. The most suitable model was used to predict a trend in healthcare utilization unaffected by the pandemic in the two pandemic years. Deviations between observed and predicted utilization were interpreted as the pandemic impact on healthcare.
Results
During the COVID-19 pandemic, all-cause hospitalizations declined across the first three waves. The first drop occurred in April 2020, with hospitalization rates falling to 1.7 times below expected pre-pandemic levels. A second drop began in November 2020, reaching 1.4 times below expected levels by January 2021. Hospitalizations returned to pre-pandemic levels after strict lockdown measures eased. These declines affected elective procedures but also life-threatening conditions, such as myocardial infarctions (MI). In March and April 2020, admissions for these events were 1.29 times below expected levels. By July 2020, however, MI hospitalization increased, reaching 0.87 times higher than typical pre-pandemic rates.
Discussion
We investigate for the first time the impact of the pandemic on healthcare in Germany using modern forecasting methods showing delayed hospitalizations for acute conditions like MI. Findings highlight the need to protect vulnerable groups and underscore the importance of further research on long-term health impacts and improved public health responses.
Lay summary
The COVID-19 pandemic has significantly disrupted healthcare provision by prioritising COVID-19 cases over other conditions, leading to postponement of interventions and reduced care for serious problems such as myocardial infarctions (MI). This study examined healthcare utilization in Germany in 2020–2021 by comparing observed hospitalisations with predicted values based on pre-pandemic trends from 2013–2019. The results showed a sharp decline in hospitalisations during the first three pandemic waves. In April 2020, hospital admissions fell to almost half the expected level, with a second decline at the end of 2020. Normalisation only set in when the lockdown measures were lifted. Crucially, admissions for life-threatening conditions such as MI also fell temporarily, showing a time lag in hospital admissions. This analysis emphasises the importance of ensuring access to healthcare for critical illnesses, even in times of pandemic, to reduce negative health impacts and improve the resilience of healthcare in future crises.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics