Related Experiment Video
Updated: Jan 16, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills
Published on: April 23, 2014
A systematic review of validated instruments assessing healthcare professionals' competence and performance for
Leila Paukkonen1, Kristina Mikkonen1, Anne Oikarinen1
1Research Unit of Health Science and Technology, Faculty of Medicine, University of Oulu, Finland.
Background:
Supporting self-management is a crucial aspect of caring for patients with chronic conditions. However, integrating self-management support into healthcare professionals' practice is known to be challenging. The growing emphasis on improving self-management support as part of quality of care provided makes it necessary to have validated instruments to assess the competence and performance of healthcare professionals in implementing self-management support.
Objectives:
To conduct systematic review to identify and critically appraise available validated instruments used to assess healthcare professionals' self-assessed competence and/ or performance in providing self-management support for adult patients with chronic conditions or multimorbidity.
Methods:
This systematic review was conducted according to COSMIN (Consensus-Based Standards for the Selection of Health Measurement Instruments) methodology and complied with the PRISMA-COSMIN Reporting guidelines for systematic reviews on outcome measurement instruments 2024. The rationale and methods were prespecified and reported in a protocol that was registered with PROSPERO (CRD42024562520). Six databases (CINAHL, PubMed, Scopus, Web of Science, Medic, and Health and Psychosocial Instruments) were systematically searched. Two independent reviewers screened the articles for eligibility, extracted the data, and assessed the methodological quality of the included studies and the psychometric properties of the instruments.
Results:
Of the 15,139 studies screened, six met the inclusion criteria, each introducing a unique instrument. Five were original development and validation studies, while one described the adaptation of an existing instrument. Most instruments were informed by literature and expert input. Three assessed actual performance in delivering self-management support, two addressed both performance and competence, and one focused solely on competence - specifically attitudes, such as beliefs about the importance of supporting self-management. Structural validity and internal consistency were reported in all studies, with hypotheses testing for construct validity in four. Methodological quality, assessed via the COSMIN Risk of Bias checklist, was mixed, as was the quality of the instruments' measurement properties.
Conclusions:
Validated instruments assessing healthcare professionals' competence and/or performance in self-management support are limited. Due to the broad nature of self-management support, the instruments reviewed vary in their characteristics, scope, and structure. Selecting the most suitable tool depends on the specific context and purpose.
Practise Implications:
This review supports researchers and clinicians in identifying valid and reliable instruments for practice, while also highlighting areas for further tool development. Such insights can inform the evaluation of current practices, training needs, and programme effectiveness, helping to better target resources and integrate self-management support into healthcare delivery.
More Related Videos
06:28E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
10:39Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
Related Concept Videos
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities
Sources of Self-Esteem II: Performance Feedback
Patient-centered Care
Self-Report Tests of Personality
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...