# Participatory development of an evaluation and data model for teleconsultations in long-term care: study protocol based on the MRC framework

**Authors:** Sofie Woessner, Laura Hahn, Christina Kaltenbach, Stefanie Joos, Cornelia Mahler, Cornelia Henschke, Roland Koch

PMC · DOI: 10.1136/bmjopen-2025-107644 · 2026-01-23

## TL;DR

This study explores how teleconsultations can improve long-term care by evaluating their feasibility and impact using a structured research framework.

## Contribution

The paper introduces a participatory, mixed-methods evaluation model for teleconsultations in long-term care based on the MRC framework.

## Key findings

- Teleconsultations may help address gaps in long-term care provision.
- User acceptance and structural conditions will be analyzed using standardized tools.
- A cost–consequence analysis will complement quantitative and qualitative findings.

## Abstract

Demographic change is resulting in a growing number of individuals requiring nursing care, while the availability of professional caregivers is simultaneously declining. This imbalance places increasing pressure on care provision, particularly in home settings and rural areas. Primary care services are also under pressure. Digital solutions such as teleconsultations are considered promising strategies to support intersectoral collaboration in long-term care and to mitigate existing gaps in service provision.

Seven teleconsultation projects in long-term care are being conducted using a mixed-methods design aligned with the phases of the Medical Research Council framework: with a focus on the feasibility phase. Data on structural conditions, usage patterns and user acceptance will be collected through standardised instruments (including Unified Theory of Acceptance and Use of Technology and Fit between Individuals, Task and Technology). In addition, focus groups and interviews will be carried out. The quantitative analysis will include descriptive and inferential statistical methods and will be complemented by a cost–consequence analysis. The qualitative data will be analysed using structuring content analysis. The aim is to provide a context-informed and theory-informed assessment of the implementation and potential impact of telemedical consultations.

The study has been approved by the Ethics Committee in Tübingen. Participation is voluntary and based on written informed consent. Data protection is ensured in accordance with the GDPR (General Data Protection Regulation); all data are pseudonymised and processed separately. Results will be communicated in a target group-appropriate manner and published in scientific journals. Practice-oriented recommendations will be developed to support the further advancement of telemedical care in nursing.

## Full-text entities

- **Diseases:** neuropsychiatric symptoms (MESH:D001523), CCA (MESH:D000094024)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12853425/full.md

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Source: https://tomesphere.com/paper/PMC12853425