SEARCH · PubMed Health

Results for “Consensus”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 19 recordsLinked to original sources

PubMed2026

Latin American consensus on the medical oncologic management of early-stage HR+/HER2- breast cancer: Addressing regional disparities in Spanish-speaking countries.

PURPOSE: Substantial disparities persist in managing early-stage hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer across Spanish-speaking Latin America, including limited access to genomic testing, systemic therapies, and fertility preservation. The Latin American Breast Cancer Association (LABCA) convened an expert panel to produce the first consensus tailored to Spanish-speaking countries. METHODS: A literature review (Embase, PubMed, Scopus, ClinicalKey, LILACS; 2014-2025), informed by ESMO/ASCO/NCCN/SEOM guidelines and registered in PROSPERO (CRD42024565706), supported statement development. A steering committee of three experts of Spanish nationality supervised the process. Twenty-one specialists from 11 countries participated in a modified Delphi process; 31 items were voted in Round 1 and 25 statements were retained within scope. Consensus was pre-defined as ≥80% agreement (or median 7-9), with a mean/outlier rule reported alongside. RESULTS: Applying the ≥80% rule, 22 of 25 statements (88%) reached full consensus; three (1.3, 2.4, 3.3; 75-76%) were near-consensus and retained with caveats. Recommendations integrated clinicopathologic and molecular factors to guide risk stratification; genomic assays were reserved for selected scenarios and discouraged in very low-risk tumors or ≥4 positive lymph nodes. Consensus also covered ovarian suppression plus endocrine therapy, fertility preservation, sexual-health and genetic evaluation, and adjuvant CDK4/6 and PARP inhibitors when accessible. Marked heterogeneity in access was documented by country and sector. CONCLUSION: This consensus provides the first region-specific, evidence-based, resource-adapted recommendations for early-stage HR+/HER2- breast cancer in Spanish-speaking Latin America, aiming to reduce disparities and strengthen equitable oncology care.

Humans↗

PubMed2025

Operationalizing the Wilson-Jungner principles for the genomics era: Consensus recommendations from the International Consortium on Newborn Sequencing.

PURPOSE: For decades, the selection of disorders included in newborn screening (NBS) programs has been guided by principles published by Wilson and Jungner in 1968. As research explores the expansion of conditions included in NBS through genomic sequencing, there is a critical need for updated recommendations to address the opportunities and complexities of genomic data. METHODS: The International Consortium on Newborn Sequencing includes leaders from over 16 research projects investigating genomic NBS across the United Kingdom, Europe, United States, and Oceania. Consortium members were invited to participate in a modified Delphi study, aggregating opinion on the selection of conditions for genomic NBS through 3 rounds of online questionnaires, with feedback provided to participants between rounds. RESULTS: In round 1, 94 participants completed the questionnaire, and 10 of 43 statements reached consensus. In round 2, 81 participants completed the questionnaire, and 14 of 27 statements reached consensus. In round 3, 68 participants completed the questionnaire, and all 10 statements reached 72% or more consensus. CONCLUSION: The 10 consensus recommendations developed in this study can guide future research and public health programs performing genomic NBS. This process also identified key areas of participant discordance, highlighting important topics for future research.

Humans↗

PubMed2026

Solutions for engaging priority populations in HIV cure research: a hybrid Delphi consensus-building process.

BACKGROUND: To achieve consensus on barriers and strategies to improve the engagement of three priority populations - Black and Latino/a/x individuals, cisgender women, and transgender women in HIV cure research. METHODS: We assembled a panel of 54 experts assigned to six groups in a hybrid Delphi process: (1) HIV community members, (2) biomedical researchers, (3) medical providers, (4) funders and private industry members, (5) bioethicists and regulators, and (6) social scientists. Over 18 months, we conducted four iterative survey rounds and three group discussions to identify barriers and strategies to arrive at a consensus on how to engage these priority populations in HIV cure research. RESULTS: For Black and Latino/a/x populations, the panellists identified inadequate outreach and a lack of accessible educational information as primary barriers and emphasised community-driven engagement and partnerships with trusted leaders as key strategies. For cisgender women, logistical hurdles, caregiving responsibilities and time constraints were identified as major barriers, with flexible trial designs and equitable compensation proposed as solutions. For transgender women, the lack of transgender-focused research design, including misrepresentation and exclusion, was identified as a key barrier, while centring transgender-specific needs in study design achieved consensus as the most effective strategy. CONCLUSION: Among all four priority populations, investment in outreach, engagement along the research process, better integration of health needs with research, and enhanced incentives are not novel ideas, but remain obviously ignored in a way that has led to underrepresentation of people in HIV cure research, who carry the greatest burden of HIV in the U.S. SUMMARY: This paper uses a hybrid Delphi process to identify and reach consensus on key barriers and strategies to engage underrepresented groups: Black and Latino/a/x individuals, cisgender women, and transgender women in HIV cure research across the United States.

Humans↗

PubMed2026

Diagnosis and management of very rare primary arrhythmia syndromes in children and adults: a Clinical Consensus Statement of the European Heart Rhythm Association of the ESC and the Association of Cardiovascular Nursing & Allied Professions of the ESC, endorsed by the Association for European Paediatric and Congenital Cardiology.

Very rare and ultra-rare primary inherited arrhythmia syndromes (IAS) represent a heterogeneous group of disorders associated with a significant risk of sudden cardiac death, often manifesting from foetal life to early adulthood. Current guidelines primarily address more common IAS and provide limited, non-specific recommendations for these rare entities, particularly in paediatric populations. This European Heart Rhythm Association Clinical Consensus Statement, developed in collaboration with the Association of Cardiovascular Nursing and Allied Professions and endorsed by the Association for European Paediatric and Congenital Cardiology, integrates available evidence with expert opinion. Recommendations were formulated through structured discussion and voting, following ESC consensus methodology, with a focus on clinically actionable gene-disease associations. The document provides a comprehensive framework for the diagnosis and management of very rare IAS, including calmodulinopathies, Andersen-Tawil syndrome, Timothy syndrome, TRDN-related disease, calcium release deficiency syndrome, and other atypical channelopathies. It highlights age-specific clinical presentations, the importance of genetic testing, and tailored therapeutic strategies, including pharmacological treatments, left cardiac sympathetic denervation, and selective use of implantable cardioverter-defibrillators. Special attention is given to paediatric considerations, foetal diagnosis, and the role of multidisciplinary care. The document also addresses arrhythmic risk in metabolic and cardiomyopathic conditions, as well as the importance of molecular autopsy and family screening in sudden unexplained death. This consensus document fills a critical gap by providing expert-driven, pragmatic guidance for the management of very rare IAS across the lifespan. It underscores the need for specialized care, international collaboration, and prospective registries to improve evidence generation, risk stratification, and patient outcomes in this vulnerable population.

Humans↗

PubMed2025

Autocycler: long-read consensus assembly for bacterial genomes.

MOTIVATION: Long-read sequencing enables complete bacterial genome assemblies, but individual assemblers are imperfect and often produce sequence-level and structural errors. Consensus assembly using Trycycler can improve accuracy, but its lack of automation limits scalability. There is a need for an automated method to generate high-quality consensus bacterial genome assemblies from long-read data. RESULTS: We present Autocycler, a command-line tool for generating accurate bacterial genome assemblies by combining multiple alternative long-read assemblies of the same genome. Without requiring user input, Autocycler builds a compacted De Bruijn graph from the input assemblies, clusters and filters contigs, trims overlaps, and resolves consensus sequences by selecting the most common variant at each locus. It also supports manual curation when desired, allowing users to refine assemblies in challenging or important cases. In our evaluation using Oxford Nanopore Technologies reads from five bacterial isolates, Autocycler outperformed individual assemblers, automated pipelines, and other consensus tools, producing assemblies with lower error rates and improved structural accuracy. AVAILABILITY AND IMPLEMENTATION: Autocycler is implemented in Rust, open-source, and freely available at github.com/rrwick/Autocycler. It runs on Linux and macOS and is extensively documented.

Genome, Bacterial↗

PubMed2026

The management of type 1 diabetes in adults. The updated 2026 consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

This 2026 consensus report from the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) builds on the 2021 consensus report to provide guidance for managing type 1 diabetes in adults. Reflecting the rapid advances in the field, this update places particular emphasis on the integration of new technologies, while all sections have been revised to incorporate new evidence, advances in clinical practice and novel therapies, including interventions to delay the onset of stage 3 type 1 diabetes. It also broadens its scope to screening for long-term diabetes complications, and the management of obesity and cardiovascular risk factors. Psychosocial care and diabetes self-management education and support (DSMES) remain key elements. The report was developed using the Accurate Consensus Reporting Document (ACCORD) framework. The guidance aligns with the current ADA 'Standards of Care in Diabetes' (Standards of Care) and relevant EASD and ADA documents and aims to support clinicians globally in delivering high-quality, personalised care for adults with type 1 diabetes, with recommendations that can be adapted across diverse healthcare systems and resource settings.

Adjunctive therapy↗

PubMed2026

Chinese expert consensus on precision testing and molecular diagnosis of pancreatic cancer (2025).

This consensus by the CSCO Pancreatic Cancer Expert Committee establishes evidence-based guidelines for molecular testing in pancreatic ductal adenocarcinoma. It details recommendations for biomarkers (e.g., KRAS, BRCA, MSI), liquid biopsy, and precision imaging to direct targeted therapies and immunotherapy, aiming to standardize diagnosis and optimize individualized patient care. Pancreatic ductal adenocarcinoma (PDAC) is the most common pathological type of primary pancreatic malignancy, accounting for ~95% of cases and generally referred to as pancreatic cancer [1]. Its prognosis is extremely poor and its incidence continues to rise [2]. According to the most recent global cancer statistics, the incidence of pancreatic cancer ranks 12th among all cancers, and its mortality ranks 6th, making it one of the deadliest malignancies worldwide [3]. Approximately 57% of patients have metastatic disease at diagnosis and require systemic therapy, for which chemotherapy remains the standard first-line option [1]. However, the overall response rate to currently available systemic regimens is low, and the 5-year survival rate for patients with metastatic disease remains below 5% [3]. Although most pancreatic cancers harbor canonical driver mutations, they exhibit marked heterogeneity at the molecular level. Whole-genome sequencing (WGS) and integrative genomic analyses have identified molecular subtypes of PDAC with potential clinical relevance [4-9]. With the increasing implementation of precision oncology, the Chinese Society of Clinical Oncology (CSCO) Guidelines for the Diagnosis and Treatment of Pancreatic Cancer give a level 1 recommendation to perform genetic and other molecular testing on tissue or cytologic specimens as part of the pathological diagnostic work-up, in order to guide individualized treatment, including targeted therapy and immunotherapy [10]. To further promote the use of genetic and molecular testing in the precision treatment of pancreatic cancer, the CSCO Pancreatic Cancer Expert Committee convened a multidisciplinary panel to develop the present Chinese Expert Consensus on Precision Testing and Molecular Diagnosis of Pancreatic Cancer (2025), aiming to provide clinicians with an authoritative reference for precision diagnostics and treatment decision-making.

Humans↗

PubMed2026

International consensus guidance for general population screening for islet autoantibodies to diagnose early-stage type 1 diabetes: a nominal group technique process.

Type 1 diabetes is an autoimmune disease that targets and destroys insulin-producing beta cells in the pancreatic islets. The incidence of type 1 diabetes is rising globally. At the clinical diagnosis of type 1 diabetes, between 20% and 67% of children and adolescents present with diabetic ketoacidosis (DKA) requiring hospitalisation, and one-third of these require intensive care. Type 1 diabetes can be detected in early stages, prior to the insulin-requiring clinical diagnosis, through screening for islet autoantibodies (IAbs). Identifying individuals with early-stage type 1 diabetes, combined with monitoring of and education on disease progression, prevents DKA and results in a milder clinical onset. This allows for timely insulin initiation in outpatient settings and improved long-term glucose management. Early diagnosis also enables access to novel disease-modifying therapies that can delay the clinical onset of diabetes. In this international consensus, we provide guidance on the principles and practice of implementing general population screening for IAbs to diagnose early-stage type 1 diabetes. We also outline the minimum requirements for establishing effective population screening programmes to diagnose early-stage type 1 diabetes through IAb detection. This consensus statement has been endorsed by the following professional associations: Advanced Technologies & Treatments for Diabetes (ATTD); Association of Diabetes Care and Education Specialists (ADCES); Association Belge Du Diabète; Associazione Medici Diabetologi (AMD); Australian Diabetes Society (ADS); Belgian Diabetes Liga; Breakthrough T1D; Czech Diabetes Society (ČDS); EASD; Finnish Diabetes Association (FDS); Fondazione Italiana Diabete (FID); International Diabetes Federation (IDF)-Europe; International Society of Paediatric and Adolescent Diabetes (ISPAD); Paediatric Endocrinology Nursing Society (PENS); Polish Diabetes Society; Portuguese Diabetes Association (APDP); Sociedade Portuguesa de Diabetologia (SPD); Società Italiana di Diabetologia (SID); Société Francophone du Diabète (SFD) and Type 1 Diabetes Exchange (T1D Exchange).

Consensus report↗

PubMed2022

The International Consensus Classification of Mature Lymphoid Neoplasms: a report from the Clinical Advisory Committee.

Since the publication of the Revised European-American Classification of Lymphoid Neoplasms in 1994, subsequent updates of the classification of lymphoid neoplasms have been generated through iterative international efforts to achieve broad consensus among hematopathologists, geneticists, molecular scientists, and clinicians. Significant progress has recently been made in the characterization of malignancies of the immune system, with many new insights provided by genomic studies. They have led to this proposal. We have followed the same process that was successfully used for the third and fourth editions of the World Health Organization Classification of Hematologic Neoplasms. The definition, recommended studies, and criteria for the diagnosis of many entities have been extensively refined. Some categories considered provisional have now been upgraded to definite entities. Terminology for some diseases has been revised to adapt nomenclature to the current knowledge of their biology, but these modifications have been restricted to well-justified situations. Major findings from recent genomic studies have impacted the conceptual framework and diagnostic criteria for many disease entities. These changes will have an impact on optimal clinical management. The conclusions of this work are summarized in this report as the proposed International Consensus Classification of mature lymphoid, histiocytic, and dendritic cell tumors.

Advisory Committees↗

PubMed2026

Guidance (challenges and priorities) in the assessment of children with low vision: ERN-EYE clinical consensus statement.

Across Europe, children living with low vision often face inconsistent approaches to the assessment of their visual function, leading to delays in diagnosis and unequal access to care. To address this gap, a multidisciplinary group of experts from 8 European countries developed a clinical consensus statement (CCS), using a modified Delphi process. This CCS provides guidance on evaluation of primary visual functions in children with low vision, regardless of etiologies. Assessing visual function can be challenging and cannot be limited to testing visual acuity. It requires a comprehensive approach that takes into account the child's developmental age and necessary adjustments for vision loss. This consensus statement presents different validated tools to evaluate visual acuity, contrast sensitivity, visual field, and color vision. It provides practical guidance for their use across developmental stages, including infancy and in children with syndromic or neurodevelopmental conditions, and highlights the critical role of caregivers in ensuring reliable assessments. The recommendations emphasize the need for age-appropriate testing strategies, tailored adaptations for low vision and additional impairment, and the importance of early assessment to support timely habilitation and optimize developmental outcomes.

Assessment↗

PubMed2026

The Management of Type 1 Diabetes in Adults. The Updated 2026 Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Journal Article↗

PubMed2026

Meta-QTL Analysis Reveals Consensus Genomic Regions and Candidate Genes for Resistance to Sudden Death Syndrome in Soybean.

Sudden death syndrome (SDS), caused by Fusarium virguliforme, is one of the most economically important diseases limiting soybean production worldwide. Although numerous quantitative trait loci (QTL) associated with SDS resistance have been reported, inconsistencies among mapping populations, marker systems, and experimental conditions have hindered the identification of robust resistance loci for soybean improvement. In this study, a comprehensive meta-analysis was conducted to integrate published QTL and identify stable consensus genomic regions associated with SDS resistance. After a systematic literature survey and data curation, 153 QTL derived from 14 linkage-mapping studies were analyzed using a custom R-based workflow, resulting in the identification of 23 consensus meta-QTL (MQTL) distributed across 17 chromosomes. Several MQTL, particularly those located on chromosomes 6, 8, 18, and 20, were supported by multiple independent studies and represented major genomic hotspots for SDS resistance. Physical localization and functional annotation of these MQTL identified 217 candidate genes, including genes predicted to be involved in plant defense, signal transduction, transcriptional regulation, and secondary metabolism. Gene Ontology enrichment analysis identified response to salicylic acid as the only biological process that remained significant after FDR correction, whereas Kyoto Encyclopedia of Genes and Genomes pathway analysis did not identify significantly enriched pathways. Independent support using five published genome-wide association studies further supported several MQTL, especially those on chromosomes 6, 18, and 20, thereby increasing confidence in these genomic regions. The identified MQTL and prioritized candidate genes provide potential genomic resources for future marker development, improvement applications, and functional validation aimed at improving soybean resistance to SDS.

Fusarium virguliforme↗

PubMed2026

Challenges in identifying paediatric cancer predisposition syndromes: international SCOPE survey and SIOPE expert consensus recommendations.

Cancer Predisposition Syndromes (CPS) are heritable genetic conditions associated with an increased risk of developing various cancers throughout life. While early identification and tumour surveillance can improve outcomes, CPS are often underdiagnosed in clinical practice. To evaluate clinicians' perspectives and identify barriers to CPS identification and care across Europe, we conducted the SCOPE study: a three-part cross-sectional survey of paediatric haematology/oncology professionals, followed by a modified Delphi consensus process with members of the SIOP Europe Host Genome Working Group. A total of 185 paediatric oncologists from 22 countries participated in the survey. More than 40% of participants reported low or uncertain confidence across different CPS-related tasks, particularly in counselling families (64.3%) and interpreting germline genetic findings (57.3%). Access to clinical geneticists and dedicated CPS clinics were predictors of higher confidence for some domains, while individual experience and institutional patient volume had limited influence. Regular use of universal CPS screening tools was low (42.3%), with most clinicians relying on personal judgement rather than structured criteria. The most cited barriers were lack of screening guidelines (57%) and difficulties in interpreting results (35.1%). Regular training and workshops, availability of genetic counsellors or educators for patient support, and patient-friendly education material were most cited as areas of improvement. The Delphi process led to three recommendations: (1) improve clinician training and communication strategies, (2) integrate CPS screening into standard treatment plans, and (3) develop accessible, patient-centred educational materials. These recommendations highlight opportunities to enhance CPS care through structured support, interdisciplinary collaboration, and systematic screening approaches.

Humans↗

PubMed2025

A consensus guide to preclinical indirect calorimetry experiments.

Understanding the complex factors influencing mammalian metabolism and body weight homeostasis is a long-standing challenge requiring knowledge of energy intake, absorption and expenditure. Using measurements of respiratory gas exchange, indirect calorimetry can provide non-invasive estimates of whole-body energy expenditure. However, inconsistent measurement units and flawed data normalization methods have slowed progress in this field. This guide aims to establish consensus standards to unify indirect calorimetry experiments and their analysis for more consistent, meaningful and reproducible results. By establishing community-driven standards, we hope to facilitate data comparison across research datasets. This advance will allow the creation of an in-depth, machine-readable data repository built on shared standards. This overdue initiative stands to markedly improve the accuracy and depth of efforts to interrogate mammalian metabolism. Data sharing according to established best practices will also accelerate the translation of basic findings into clinical applications for metabolic diseases afflicting global populations.

Calorimetry, Indirect↗

PubMed2026

Wearable wrist-watch type cuff oscillometric blood pressure monitors: consensus statement by the European Society of Hypertension Working Group on blood pressure monitoring.

Wearable wristwatch-type cuff oscillometric blood pressure (BP) monitors represent a new category of BP devices and are the first wearable monitors to use established cuff-oscillometric BP measurement technology. This consensus statement by the European Society of Hypertension Working Group on BP Monitoring reviews the published evidence on their design, accuracy, validation, clinical application, and remaining research questions. Of 281 articles identified through a systematic PubMed search, 26 were relevant. Several devices are currently available; however, only two have published validation studies performed according to established standards (Omron HeartGuide and Huawei Watch D/D2). Static validation studies generally showed acceptable accuracy, whereas data on 24-h ambulatory use, in special populations, and clinical applications remain limited. Potential advantages include self-initiated measurement at home, at work, and in other settings and conditions; more convenient and repeatable 24-h ambulatory monitoring; more convenient and accurate assessment of asleep BP; capture of stress-related and other BP-related episodes. However, proper wrist position, user adherence, ambulatory performance, and clinical applications require further investigation. More research is needed to establish the accuracy and clinical utility of these novel devices and their role in improving the diagnosis and management of hypertension.

Humans↗

PubMed2026

Subgroups and Special Populations in Heart Failure Clinical Trials: Insights From the HFC-ARC Expert Consensus Panel.

In the evolving landscape of heart failure (HF) management, the identification and analysis of subgroups and special populations within clinical trials are crucial for enhancing clinical decision-making, guiding further research, and understanding heterogeneity in study outcomes. This expert consensus document results from the collaborative efforts of the Heart Failure Collaboratory and the Heart Failure Collaboratory Academic Research Consortium, which brought together stakeholders from academia, industry, the U.S. Food and Drug Administration, and patient representatives. The purpose of this assembly was to propose standardized definitions and critical endpoint considerations essential for shaping the design and conduct of clinical trials for drugs and devices in the field of HF. In this context, we propose definitions and endpoints for specific subgroups and special populations in the spectrum of HF. We enhanced the precision, efficacy, and applicability of clinical research and promote more "personalized" approaches to interpretation of clinical trials. Furthermore, we explore the burgeoning field of gene therapy as a promising avenue for addressing the genetic basis of certain cardiomyopathies within these specialized patient groups. We focus especially on methodological considerations for subgroup analyses in large-scale trials, highlighting the importance of proper interpretation of subgroups and best practices for identifying heterogeneity suggestive of differential treatment effects, including when these analyses should be considered hypothesis-generating and requiring subsequent validation. We advocate for a methodical approach to clinical trial design, one that prioritizes the strategic identification of subgroups and employs appropriate statistical methodologies to ensure the reliability and clinical relevance of findings. Through this lens, we envision a pathway toward more personalized and effective treatments for HF, ultimately aiming to improve patient outcomes by leveraging the insights garnered from meticulously designed and comprehensively analyzed clinical trials.

Humans↗

PubMed2025

Deep Learning on Histologic Slides Accurately Predicts Consensus Molecular Subtypes and Spatial Heterogeneity in Colon Cancer.

Colon cancer (CC) is the third most prevalent cancer type. It is highly heterogeneous, particularly in terms of molecular profiles, which have both prognostic and predictive impacts on the treatment efficacy. However, CC treatment in adjuvant situations is currently guided solely by T and N staging. In this context, consensus molecular subtypes (CMSs) were introduced to stratify patients with CC based on molecular profiles. Recent studies have shown that CMS can be heterogeneous in CC, leading to a worse prognosis. This study focused on predicting CMS and its heterogeneity in CC using deep learning on digitized hematoxylin and eosin ± saffron-stained whole-slide images. Data and whole-slide images of 1996 patients from the PETACC-8, The Cancer Genome Atlas-COAD, and PRODIGE-13 cohorts were used. The model is trained to predict a 4-dimensional CMS vector, reflecting intratumor heterogeneity (ITH). It comprises a self-supervised model for embedding image patches into vectors and a weakly supervised model predicting CMS calls. Ground-truth CMS scores are obtained with the CMSclassifier package. Interpretability analyses are performed at the slide and patch levels. For homogeneous tumors, the model trained on PETACC-8 achieves 93.0% (±1.4%) macroaverage area under the curve in internal cross-validation and 94.4% macroaverage area under the curve in external validation over PRODIGE-13, whereas the The Cancer Genome Atlas-COAD model reaches 85.4% (±3.0%) in cross-validation and 92.4% over PRODIGE-13. The trained models also provide spatial distributions of CMS across tumor slides and associate specific histologic features with each CMS. Finally, the models are able to predict ITH. The results show that a deep learning model trained on routine histology slides is capable of providing an efficient and robust method for predicting CMS and characterizing a patient's ITH, paving the way for the routine consideration of CMS/ITH in clinical decision making in the adjuvant setting.

Humans↗

PubMed2026

The musculoskeletal pain literacy questionnaire (MSK-PLq) - Part 1: Development of a preliminary version through a systematic review and Delphi consensus.

OBJECTIVE: Chronic musculoskeletal (MSK) pain is a leading cause of disability worldwide, and self-management is a first-line approach recommended by international clinical guidelines. Access to evidence-based information that enhances health literacy may support patients' engagement in their self-management and treatment decision-making, potentially reducing disease burden and pain. However, no tool currently exists to assess health literacy specifically in MSK pain. This study aimed to develop and describe the preliminary version of a knowledge-based questionnaire to evaluate MSK pain literacy, the Musculoskeletal Pain-Literacy questionnaire (MSK-PLq). METHODS: A systematic literature review identified existing health literacy instruments and generated a preliminary list of domains. A two-round Delphi study with 22 panellists (19 experts and three people living with chronic MSK pain), followed by consensus meetings, was used to refine domains and items (≥70% agreement). Readability was assessed using the Flesch Reading Ease (FRE) score and three stakeholders were consulted to review the questionnaire for comprehensibility, clarity, and face validity. RESULTS: Six domains were retained (Understand, Access, Appraise, Apply, Digital, Beliefs), comprising 20 items in the preliminary version of MSK-PLq. Readability was acceptable (mean FRE 74, indicating fairly easy reading), and subject feedback supported the questionnaire's clarity and face validity. CONCLUSIONS: The preliminary version of the MSK-PLq is proposed as the first knowledge-based tool to assess functional, interactive, and critical aspects of MSK pain literacy. It may have applications in clinical practice, research, education, and digital health, by informing tailored patient education and supporting self-management strategies, although further psychometric validation is required.

Humans↗