Evidence map›Paper›PMID 34360413›Full record

ArticleInternational journal of environmental research and public health2021

Impact of COVID-19 on the Health of the General and More Vulnerable Population and Its Determinants: Health Care and Social Survey-ESSOC, Study Protocol.

Carmen Sánchez-Cantalejo, María Del Mar Rueda, Marc Saez, Iria Enrique, Ramón Ferri, Miguel de La Fuente, Román Villegas, Luis Castro, Maria Antònia Barceló, Antonio Daponte-Codina and 2 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Carmen Sánchez-CantalejoAndalusian School of Public Health (EASP, Escuela Andaluza de Salud Pública), 18080 Granada, Spain.
María Del Mar RuedaDepartment of Statistics and Operations Research, University of Granada, 18014 Granada, Spain.ORCID 0000-0002-2903-8745
Marc SaezResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain.ORCID 0000-0003-1882-0157
Iria EnriqueAndalusian Institute of Statistics and Cartography, 41071 Seville, Spain.ORCID 0000-0001-9550-1796
Ramón FerriDepartment of Statistics and Operations Research, University of Granada, 18014 Granada, Spain.ORCID 0000-0002-9655-933X
Miguel de La FuenteDemométrica, Market Research and Public Opinion, 28001 Madrid, Spain.
Román VillegasAndalusian Health System, 41001 Seville, Spain.
Luis CastroDepartment of Statistics and Operations Research, University of Granada, 18014 Granada, Spain.ORCID 0000-0002-0934-4219
Maria Antònia BarcelóResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain.ORCID 0000-0001-9720-690X
Antonio Daponte-CodinaAndalusian School of Public Health (EASP, Escuela Andaluza de Salud Pública), 18080 Granada, Spain.ORCID 0000-0002-9581-5944
Nicola LorussoHealth Surveillance Service, Department of Health and Families, Andalusian Regional Government, 41020 Seville, Spain.ORCID 0000-0003-2829-2546
Andrés Cabrera-LeónAndalusian School of Public Health (EASP, Escuela Andaluza de Salud Pública), 18080 Granada, Spain.ORCID 0000-0002-4812-1026

Funding

Pfizer COVID-19 Competitive Grant ProgramSantander Universities SUPERA COVID19
6 · The paper itself

Abstract

This manuscript describes the rationale and protocol of a real-world data (RWD) study entitled Health Care and Social Survey (ESSOC, Encuesta Sanitaria y Social). The study's objective is to determine the magnitude, characteristics, and evolution of the COVID-19 impact on overall health as well as the socioeconomic, psychosocial, behavioural, occupational, environmental, and clinical determinants of both the general and more vulnerable population. The study integrates observational data collected through a survey using a probabilistic, overlapping panel design, and data from clinical, epidemiological, demographic, and environmental registries. The data will be analysed using advanced statistical, sampling, and machine learning techniques. The study is based on several measurements obtained from three random samples of the Andalusian (Spain) population: general population aged 16 years and over, residents in disadvantaged areas, and people over the age of 55. Given the current characteristics of this pandemic and its future repercussions, this project will generate relevant information on a regular basis, commencing from the beginning of the State of Alarm. It will also establish institutional alliances of great social value, explore and apply powerful and novel methodologies, and produce large, integrated, high-quality and open-access databases. The information described here will be vital for health systems in order to design tailor-made interventions aimed at improving the health care, health, and quality of life of the populations most affected by the COVID-19 pandemic.

Indexed as

COVID-19Vulnerable PopulationsDelivery of Health CareHumansPandemicsQuality of LifeSARS-CoV-2COVID-19health determinantshealth inequalitiesmachine learningpopulation registriespublic healthreal-world dataSARS-CoV-2surveysvulnerable populations

Identifiers

PMID34360413
PMCPMC8345631

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.