OPEN Research Support
head

Special Consultant, Ph.D.
Christian V. Skovsgaard
University of Southern Denmark, Department of Public Health, Danish Centre for Health Economics


Project management
Project status    Open
 
Data collection dates
Start 01.04.2019  
End 31.12.2025  
 



Societal Impact of Research-Based Knowledge in Health Care (the PINCH project)

Short summary

The overall aim of the research project is to investigate the barriers that hinder the use and access to research-based knowledge as well as the channels that have successfully conveyed the created knowledge. The focus is on the organization of healthcare and how healthcare providers (GPs, dentists and hospital doctors) can act as facilitators or barriers, and how this affects citizens' health and wellbeing.


Rationale

Providing public services that promote good health for all citizens is an important policy goal, requiring effective and fair distribution of health resources. The aim of this sub-project is to acquire knowledge of citizens health and wellbeing and to assess the public preferences and barriers for access to health services with main focus on dental care. The goals of the project are: 1) To evaluate the general (dental) health and wellbeing of the Danish population. 2) To Identify barriers to accessing dental services, including economic, geographic, and social factors. 3) To explore public preferences for healthcare prioritization and funding.


Description of the cohort

A representative sample of the Danish adult population invited to participate in an online survey.


Data and biological material

Data will consist of survey responses combined with individual-level register data. The survey data includes information on: • Health status and subjective well-being • Health behaviors • Attitudes and preferences regarding financing and prioritization of (dental) healthcare • Personal characteristics such as health literacy, risk preferences, time preferences, and personality traits. The research project will utilize a variety of register data, including: • Demographic information: age, gender, ethnicity, etc. • Socio-economic factors: education, income, employment status. • Healthcare utilization: consumption of healthcare services, medication, laboratory results, rehabilitation. • Distance measures: proximity to healthcare providers such as general practitioners and hospitals.


Collaborating researchers and departments

University of Newcastle Upon Tyne

  • Jytte Seested Nielsen