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Perceived changes in capability during the COVID-19 pandemic: A Swedish cross-sectional study from June 2020

SND-ID: 2020-206

Overview
Data and documentation

Creator/Principal investigator(s)

Kaspar Meili - Umeå University, Department of Epidemiology and Global Health

Anna Månsdotter - Umeå University, Department of Epidemiology and Global Health

Lars Lindholm - Umeå University, Department of Epidemiology and Global Health

Description

Covid-19 has affected people in various ways, directly through disease and death, and indirectly through disease containment measures. Understanding how the pandemic and countermeasures agaist it impacted quality of life is valuable for policy makers.

To address and compare the various components of quality of life, a suitable framework is needed, which the capability approach provides. This approach measures quality of life as opportunities, compared to traditional welfarist economics that defines wellbeing as utility.

For this study, we used a capability list from a Swedish governmental investigation (SOU 2015:56) that suggested relevant capabilities for the Swedish situation: Financial situation, Social relations, Health, Housing, Living environment, Occupation, Knowledge, Security, Time balance, and Political and civil rights.

The study was performed in June 2020. In an internet-based survey, we quota-sampled 500 Swedish residents from a commercial web-panel, after population proportions of age, region of residence, education, gender.

The survey started with the informed consent statement, followed by questions on participants’ current baseline capability levels in the ten capability dimensions (Low, Medium, Complete). Next followed questions about perceived changes in capability during 2020 in the ten dimensions on a five-item Likert scale (Much less, Less, Equal, Higher, Much higher). The survey ended with a number of background questions on socio-economic and demographic conditions.

Sampling large numbers of participants using a commercial web panel is administratively more feasible and quicker than other sampling methods, such as for example direct sampling from the general population. Also, the response rate may be higher and data handling easier. On the other hand, it is less transparent how recruitment into the study was performed and web panel participants may not be representative of the population. Those limitations should be kept in mind when analysing the data and interpreting results. Show less..

Language

English

Research principal, contributors, and funding

Research principal

Umeå University

Responsible department/unit

Department of Epidemiology and Global Health

Contributor(s)

Håkan Jonsson - Department of Epidemiology and Global Health

Funding

Funding agency: Swedish Research Council for Health Working Life and Welfare
Funding agency's reference number: 2018-00143

Protection and ethical review

Data contains personal data

Ethics Review

Swedish Ethical Review Authority - Ref. 2019-02848

Method and time period

Unit of analysis

Individual

Population

Swedish quota-stratified web panel sample of participants provided by Cint. Cint combines different web panels. Age 18-99, living in Sweden.

Time Method

Cross-section

Sampling procedure

Probability: Stratified: Proportional

Web panel sample from Cint. Quota-stratified to represent Swedish population after gender, region, and age.

Time period(s) investigated

2020-01-01 – 2020-07-06

Geographic coverage

Geographic spread

Geographic location: Sweden

Geographic description: Lowest greographical unit is national areas according to NUTS-2.

Lowest geographic unit

National area (NUTS2)

Highest geographic unit

Country

Topic and keywords

Research area

General health and well-being, Social conditions and indicators (CESSDA Topic Classification)
Health Care Service and Management, Health Policy and Services and Health Economy, Public Health, Global Health, Social Medicine and Epidemiology, Economics, Social Sciences Interdisciplinary, Philosophy (The Swedish standard of fields of research 2011)

Keywords

economics, health, welfare economics, public health, social welfare philosophy, health economics, covid-19, capability approach, extra-welfarism

Publications

Meili, K. W., Jonsson, H., Lindholm, L., & Månsdotter, A. (2021). Perceived changes in capability during the COVID-19 pandemic: A Swedish cross-sectional study from June 2020. Scandinavian Journal of Public Health. Epub ahead of print. https://doi.org/10.1177/14034948211023633
DOI: https://doi.org/10.1177/14034948211023633
URN: urn:nbn:se:umu:diva-185846

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Dataset

Upplevda förändringar i handlingsfriheter under COVID-19 pandemin: En svensk tvärsnittsstudie från Juni 2020

Download data

capability_change_covid19.csv (170.48 KB)

questions.txt (6.52 KB)

readme_v2_KM.txt (5.56 KB)

Description

Data were collected with a PHP-based web application for surveys (limesurvey version 4.2.2, https://www.limesurvey.org) hosted on a Umeå university server. The data was collected anonymously.

Version 1

2021-05-06
https://doi.org/10.5878/4k6a-e341

Citation

Kaspar Meili, Anna Månsdotter, Lars Lindholm. Umeå University (2021). Upplevda förändringar i handlingsfriheter under COVID-19 pandemin: En svensk tvärsnittsstudie från Juni 2020. Swedish National Data Service. Version 1. https://doi.org/10.5878/4k6a-e341

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Data format / data structure

Numeric

Text

Creator/Principal investigator(s)

Kaspar Meili - Umeå University, Department of Epidemiology and Global Health

Anna Månsdotter - Umeå University, Department of Epidemiology and Global Health

Lars Lindholm - Umeå University, Department of Epidemiology and Global Health

Keywords

economics, health, welfare economics, public health, social welfare philosophy, covid-19, extra-welfarism, capability approach, health economics

Data collection

Mode of collection: Self-administered questionnaire: web based
Time period(s) for data collection: 2020-06-22–2020-07-06
Source of the data: Population group

Variables

Number of individuals/objects

498

Response rate/participation rate

40.8%

According to the webpanel company. Correspond to 560 registered answers. This dataset corresponds to 498 answers with valid age and consent to participate.

License

Published: 2021-05-06

Last updated: 2021-07-08

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