Instruments for Detecting Moral Distress in Clinical Nurses: A Systematic Review

• Main Authors: Xu Tian PhD, Yanfei Jin PhD, Hui Chen BSc, María F. Jiménez-Herrera PhD
• Format: Article
• Language: English
• Published: SAGE Publishing 2021-03-01
• Series: Inquiry: The Journal of Health Care Organization, Provision, and Financing
• Online Access: https://doi.org/10.1177/0046958021996499

Moral distress (MD) has become a seriously negative problem experienced by healthcare professionals, especially clinical nurses. Early and accurate detection of MD by the validated and reliable instrument is critically important to further develop an effective intervention strategy. We performed the current systematic review to comprehensively summarize the evidence of instruments for the detection of MD in clinical nurses. The research design was a systematic literature review. We assigned 2 investigators to independently search potential studies in PubMed, EMBASE, and China National Knowledge Infrastructure (CNKI) from their inception to June 2020. We used data extraction table extracting essential information, and the modified critical appraisal tool evaluating the reliability and validity of eligible instruments. Finally, we qualitatively summarized results of all included instruments. No ethical approval was required because this systematic review was performed based on published studies. We included 16 eligible studies covering 10 original and 6 revised or modified instruments for the final analysis. The overall quality of all instruments was moderate because test-retest reliability was inadequately examined in most instruments. Of 16 instruments, MDS-revised (MDS-R) was broadly validated and employed in different working or cultural settings. Meanwhile, it also extensively expands to specifically detect MD. Moreover, other instruments including moral distress risk scale (MDSR) and moral distress thermometer (MDT) should be further validated and utilized because it covered the gap missed by most instruments. Although several instruments have been made available for clinical nurses, some of them have inadequate psychometric properties test, especially test-retest reliability evaluation. Meanwhile, most of them have not be validated and employed in other working or cultural settings. We therefore suggested further studies to validate the psychometric properties of existing instruments and then employed instruments with high reliability and validity to detect MD in clinical nurses.