Measuring Self-management Among People with Diabetes Mellitus: A Systematic Review of Patient-Reported Diabetes-Specific Instruments in English and Chinese.

INTRODUCTION

Effective behavioral management is critical for people with diabetes to achieve glycemic control. Many instruments have been developed to measure diabetes-specific self-management. This review aimed to retrieve existing self-management-related instruments and identify well-validated instruments suitable for clinical research and practice.

METHODS

First, PubMed, Psych INFO, ERIC, and two Chinese databases (CNKI and Wanfang Data) were searched to identify existing instruments for self-management in diabetes systematically. Second, instruments were screened based on the pre-specified inclusion and exclusion criteria. Third, the psychometric property data of each included instrument were retrieved, and instruments with poor psychometric properties were excluded. Fourth, selected instruments were categorized into four categories: knowledge and health literacy, belief and self-efficacy, self-management behaviors, and composite scales. Finally, recommendations were made according to the application status and quality of the instruments. Instruments in English and Chinese were screened and summarized separately.

RESULTS

A total of 406 instruments (339 English instruments and 67 Chinese instruments) were identified. Forty-three English instruments were included. Five focused on knowledge and literacy, 12 on belief and self-management perception-related constructs, 21 on self-management and behaviors, and 5 on composite measures. We further recommended 19 English scales with relatively good quality and are frequently applied. Twenty-five Chinese instruments were included, but none were recommended because of a lack of sufficient psychometric property data.

CONCLUSION

Many English instruments measuring diabetes self-management have been developed and validated. Further research is warranted to validate instruments adapted or developed in the Chinese population.