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Impact of the Social Determinants of Health in the Central Catalan Region

Impact of the Social Determinants of Health in the Central Catalan Region

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04151056
Enrollment
1500
Registered
2019-11-05
Start date
2019-09-23
Completion date
2021-07-23
Last updated
2020-06-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Primary Health Care, Social Determinants of Health

Keywords

social determinants of health, reporting socials problems

Brief summary

The objective of this study is to increase the registry of social determinants of health in the primary care centers and evaluate the relationship that these social determinants of health with various variables of social impact.

Detailed description

Currently, the social problems are hidden behind clinical diagnostics. This may lead to overdiagnosis and overtreatment of some discomforts/pathologies that are observed in primary care centers that may respond better to community level interventions and promotion of health actions. It is longitudinal , multicentered, pre and post intervention study, conducted by health professionals of central Catalonia sanitary region during 2019 Prior to the intervention, the number and type of social coded diagnoses in the clinical history is going to be described. Subsequently, an intervention will be carried out: training the professionals in the homogeneous codification of five selected social determinants. This codification will be systematically applied .The number and type of social diagnostics registered in the pre and post-intervention periods is going to be compared. Finally, the impact analysis of the social determinants is going to be carried out. Afterwards the investigators plan to search solutions at Community level for the select social diagnoses

Interventions

None listed

Sponsors

Institut Català de la Salut
CollaboratorOTHER
Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

Inclusion criteria

Phase I: * Patients have been attended in their primary care centers during 23 September 2019 to 23 April 2020. * The health professionals should complete the study checklist for each patient . Phase II: •Patients should sign the informed consent form to enter in a study cohort.

Exclusion criteria

Patients with advanced cognitive impairment because they would not be able to complete the study checklist. The study checklist is consist in answering five questions.

Design outcomes

Primary

MeasureTime frameDescription
Population Taxes12 monthIn the descriptive basal analysis, the population taxes of all social diagnoses is going to be described.

Secondary

MeasureTime frameDescription
Sociodemographic subcategories7 monthThe sociodemographic data described in the study are: * age; * sex; * primary care team where the patient is visited; * type of primary care team (rural/urban); * index Aquas of deprivation ; * professional situation; * cultural origin of the person; * if cultural origin is not Spanish, years of residence in the country.
Comparison with the post-intervention data of the six diagnostics with Chi Quadrat Test.7 monthFor this comparison is going to be used independent samples in the different subcategories. The 6 diagnostics used are: * health check; * stressful work hours; * living alone problems ; * difficult acculturation * other specific problems related to the nearest surrounding; * unemployment not specified.
Social Impact. Parametric and non parametric test12 monthIt will be evaluated health differences in the six coded groups (including the control group) through appropriate parametric and non-parametric tests , It is going to be compared the average of each selected dependent health variables in social coded diagnoses and the screened patients group without a social diagnosis The dependent health variables are going to be analysed after the codification of the six selected diagnosis. The study dependent health variables are: * number of clinical diagnoses registered; * number of medicines consumed ; * number of the total diagnostic test requested; * number of specialists referrals * number of visits to health centers

Countries

Spain

Contacts

Primary ContactBerta Rodoreda Pallàs, NR
brodoreda.lleida.ics@gencat.cat618625138

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 10, 2026