Delayed Diagnosis and Treatment of Cancer Patients During the COVID-19 Pandemic in Henan, China: An Interrupted Time Series Analysis.

ABSTRACT:

Objective

To investigate the possible impact of lockdown policies on the diagnosis and treatment of cancer patients in Henan, China.

Design setting and participants

We collected data from the Henan Cancer Hospital, affiliated with Zhengzhou University. The monthly numbers of inpatient admissions from January 2014 to December 2019 were used to forecast the number of inpatient admissions in 2020, which was then compared to the actual number of patients admitted during the pandemic to evaluate how the actual number diverges from this forecast. We conducted an interrupted time series analysis using the autoregressive integrated moving average (ARIMA) model.

Main outcomes and measures

For specific diagnoses, treatment modalities, and age groups, we compared the changes in

SUBMITTER: Liu C 

PROVIDER: S-EPMC9171044 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature