2026 EASD evidence-based clinical practice guideline for assessing and managing diabetes distress among adults with type 1 diabetes or type 2 diabetes

Diabetes distress is the emotional burden that arises from living with, and self-managing, diabetes. The aim of this clinical guideline is to optimise the assessment and management of diabetes distress among adults with type 1 diabetes or type 2 diabetes, promoting consistent, person-centred care. The guideline was developed using the EASD Standard Operating Procedure, GRADE methodology and RIGHT reporting standards. A multidisciplinary Guideline Development Panel, including lived experience experts, formulated clinical questions using the PICOT framework. Two clinical questions were addressed: (1) optimal approaches and timing for identifying and exploring diabetes distress; (2) the effectiveness of psychological, psychoeducational, educational, peer support and technology-based interventions for reducing diabetes distress. Good Practice Statements on assessment were informed by de novo realist reviews. GRADE recommendations on management were derived from a commissioned systematic review and meta-analyses of RCTs. For adults with type 1 diabetes or type 2 diabetes, eight Good Practice Statements emphasise routine discussion of emotional well-being, use of validated tools, ongoing monitoring, collaborative care planning, documentation and availability of psychological support. For adults with type 1 diabetes, conditional GRADE recommendations support psychological interventions, continuous glucose monitoring and automated insulin delivery systems for reducing diabetes distress. For adults with type 2 diabetes, conditional GRADE recommendations support psychological, psychoeducational and educational interventions for reducing diabetes distress. The strengths of this guideline include its rigorous methodology and strong stakeholder engagement. Limitations include the scarcity of high-quality trials, particularly in low- and middle-income countries, and exclusion of non-randomised evidence. Implementation will require training and system-level support for integration into routine care, in addition to dissemination through peer-reviewed publications and open access formats.

Authors

Institutions

Publication Details

Journal
Diabetologia
Published
2026-09-15
DOI
https://doi.org/10.1007/s00125-026-06840-0
Citations
3
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
15.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

2026 EASD evidence-based clinical practice guideline for assessing and managing diabetes distress among adults with type 1 diabetes or type 2 diabetes

Femke Rutters, Jane Speight, Richard I. G. Holt, Karin Kanc et al.
3 citations
Diabetologia
Diabetes Management and Education
15.22
article

2026 EASD evidence-based clinical practice guideline for assessing and managing diabetes distress among adults with type 1 diabetes or type 2 diabetes

Femke Rutters, Jane Speight, Richard I. G. Holt, Karin Kanc, Jackie Sturt, Andreia Mocan, Walther Jensen, Norbert Hermanns, Francesco Zaccardi, Thomas Karagiannis, Michelle Law
article en
3 citations

Abstract

Diabetes distress is the emotional burden that arises from living with, and self-managing, diabetes. The aim of this clinical guideline is to optimise the assessment and management of diabetes distress among adults with type 1 diabetes or type 2 diabetes, promoting consistent, person-centred care. The guideline was developed using the EASD Standard Operating Procedure, GRADE methodology and RIGHT reporting standards. A multidisciplinary Guideline Development Panel, including lived experience experts, formulated clinical questions using the PICOT framework. Two clinical questions were addressed: (1) optimal approaches and timing for identifying and exploring diabetes distress; (2) the effectiveness of psychological, psychoeducational, educational, peer support and technology-based interventions for reducing diabetes distress. Good Practice Statements on assessment were informed by de novo realist reviews. GRADE recommendations on management were derived from a commissioned systematic review and meta-analyses of RCTs. For adults with type 1 diabetes or type 2 diabetes, eight Good Practice Statements emphasise routine discussion of emotional well-being, use of validated tools, ongoing monitoring, collaborative care planning, documentation and availability of psychological support. For adults with type 1 diabetes, conditional GRADE recommendations support psychological interventions, continuous glucose monitoring and automated insulin delivery systems for reducing diabetes distress. For adults with type 2 diabetes, conditional GRADE recommendations support psychological, psychoeducational and educational interventions for reducing diabetes distress. The strengths of this guideline include its rigorous methodology and strong stakeholder engagement. Limitations include the scarcity of high-quality trials, particularly in low- and middle-income countries, and exclusion of non-randomised evidence. Implementation will require training and system-level support for integration into routine care, in addition to dissemination through peer-reviewed publications and open access formats.

Diabetologia
Deakin University (AU), University of Leicester (GB), King's College London (GB), Aristotle University of Thessaloniki (GR), University of Exeter (GB), Clinical Emergency Hospital Bucharest (RO), Diabetes Australia (AU), University Hospital Southampton NHS Foundation Trust (GB), Amsterdam University Medical Centers (NL), University of Southampton (GB), University of Bamberg (DE)
Reduced inequalities
Openalex Percentile: Top 1%
Diabetes Management and Education
15.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.