Eurobarometer Qualitative Study: Patient Involvement

Eurobarometer Qualitative Study: Patient Involvement
European Commission published the results of the Qualitative Eurobarometer on patient involvement in healthcare. The aim of this research was to explore views on patient involvement in healthcare across fifteen European Member States. In-depth interviews were carried out with five healthcare practitioners and ten patients, in each country. This research was qualitative in nature and is therefore not intended to be representative of the views of either practitioners or patients in the participating countries. Conclusions reflect the experience and views of those who took part in the study.

Some key findings of the report:

  • The term "patient involvement" is not clearly understood by either patients or practitioners and often means different things to different people. Many patients describe a "traditional doctor-patient relationship", where the doctor's opinion is considered as being beyond questioning and patients feel uncomfortable giving feedback.
  • Communication is considered very important, but both patients and practitioners describe how doctors have insufficient time to explain treatment options.
  • The main risks of patient involvement, mentioned by both patients and practitioners, are increased demands on practitioners' time, and the possibility of patients disagreeing with doctors' opinions. This would also have financial implications.
  • The Internet is generally felt to be the area where there has been the most significant development with almost all patients now having greater access to information about their symptoms and healthcare (as well as healthcare options). This is seen as positive by patients but is more ambivalent for some practitioners.
  • Patients in Eastern European countries are most likely to be dissatisfied with their current level of involvement in healthcare and want to be more involved. However, this response is not universal.
  • Chronically ill patients tend to have more experience in self-monitoring and often have a more tangible understanding of "patient involvement".

This research was qualitative in nature and is therefore not intended to be representative of the views of either practitioners or patients in the participating countries. Conclusions reflect the experience and views of those who took part in the study. It provides interesting topics raised in the interviews about patient involvement in clinical practice.

Download Eurobarometer Qualitative Study: Patient Involvement (.pdf, 915 KB).

Download from eHealthNews.eu Portal's mirror: Eurobarometer Qualitative Study: Patient Involvement (.pdf, 915 KB).

Most Popular Now

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...