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Dataset Information

Impact of the COVID-19 pandemic on unmet healthcare needs in Seoul, South Korea: a cross-sectional study.


ABSTRACT:

Objectives

This study investigated the factors influencing unmet healthcare needs of people during the early stage of the COVID-19 pandemic in Seoul, South Korea. The findings help to identify people who have difficulty accessing healthcare services during a pandemic situation.

Design

We conducted a cross-sectional study using a proportionate quota sampling method according to five major districts, sex and age, using an online survey. We analysed the key characteristics of influencing factors of unmet healthcare needs based on the Andersen behavioural model of healthcare utilisation: predisposing factors (eg, sex, age), need factors (eg, health status, illness) and enabling factors (eg, income, efficacy belief).

Setting

The questionnaire was sent via email and mobile

SUBMITTER: Kim J 

PROVIDER: S-EPMC8392743 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature