Psychosocial risk screening in the inpatient care of physically ill patients: study protocol for a feasibility study

Stephan Christoph Feder1,2, Zuhal Simsek3, Joe J Simon3

  • 1Department of General Internal Medicine, Psychosomatics and Psychotherapy, Heidelberg University Hospital, Heidelberg, Germany StephanChristoph.Feder@med.uni-heidelberg.de.

BMJ Open
|March 20, 2026
PubMed

Insights

This pilot study assesses the feasibility of integrating psychosocial risk screening into hospital admissions to reduce patient length of stay. The goal is to prepare for a larger trial on improving care for physically ill patients with mental health comorbidities.

Area of Science:

  • Medical and Health Services Research
  • Psychosomatic Medicine
  • Health Services Management

Background:

  • Patients with physical illnesses experience longer hospital stays when they have mental health comorbidities, especially with severe physical multimorbidity.
  • Integrating psychosocial risk screening at admission could address psychosomatic and social care needs early, potentially reducing length of stay.
  • Implementation challenges include organizational factors (staff workload, process integration) and patient factors (screening acceptance).

Purpose of the Study:

  • To assess the feasibility of implementing an integrated psychosocial risk screening and follow-up pathway in a hospital setting.
  • To gather data to inform the design of a larger confirmatory trial.
  • To determine if the screening and referral process is practical for patients and healthcare staff.

Main Methods:

  • A single-center, randomized feasibility study conducted on a pilot ward.
  • Patients were assigned to an intervention group (tablet-based psychosocial screening) or a control group.
  • The intervention group received screening by physicians or medical students, with referrals to psychosomatic consultation or social work if positive and consented.

Main Results:

  • The primary feasibility criterion is an informed consent rate of 30% of eligible patients.
  • The study period is planned for 4 months.
  • Descriptive statistics will be used to analyze the feasibility data.

Conclusions:

  • This feasibility study is a crucial preparatory step for a full-scale confirmatory trial.
  • Successful implementation could lead to improved care pathways for patients with complex health needs.
  • Findings will guide the optimization of screening and follow-up processes in clinical practice.
Abstract