MATERIALS AND METHODS: Systematic searches of PubMed, Scopus and Web of Science databases were conducted. Independent reviewers screened the title, abstract and full texts according to predetermined inclusion and exclusion criteria. Articles published in English from January 2012 to March 2022 reporting the QoL of non-syndromic young patients aged 7-18 years with CL/P were included. Review articles and articles reporting the psychological adjustment of parents or other family members with CL/P were excluded.
RESULTS: 975 publications were identified, of which 20 studies met our inclusion criteria. The majority of studies reported that the CL/P condition has a negative impact on the QoL. Psychological health, functional well-being, socialemotional well-being and school environment are domains that are affected. Compared with typically developing young patients, those with CL/P had lower QoL scores even though QoL was assessed using different instruments across studies. The impact of CL/P on overall QoL scores varied by age but not gender or cleft type.
CONCLUSION: Our reviews had shown the presence of CL/P negatively affects the QoL of young patients. Psychological health is the most affected QoL domain. Understanding the impacted domain will help in planning and delivering better health care for individuals with CL/P and reducing the stigma commonly associated with CL/P. Future studies should target intervention on psychological health and consider resilience factors towards positive adjustment.
DESIGN/METHODOLOGY/APPROACH: A literature review was performed on issues, sources, management and approaches to HISs-induced errors. A critical review of selected models was performed in order to identify medical error dimensions and elements based on human, process, technology and organisation factors.
FINDINGS: Various error classifications have resulted in the difficulty to understand the overall error incidents. Most classifications are based on clinical processes and settings. Medical errors are attributed to human, process, technology and organisation factors that influenced and need to be aligned with each other. Although most medical errors are caused by humans, they also originate from other latent factors such as poor system design and training. Existing evaluation models emphasise different aspects of medical errors and could be combined into a comprehensive evaluation model.
RESEARCH LIMITATIONS/IMPLICATIONS: Overview of the issues and discourses in HIS-induced errors could divulge its complexity and enable its causal analysis.
PRACTICAL IMPLICATIONS: This paper helps in understanding various types of HIS-induced errors and promising prevention and management approaches that call for further studies and improvement leading to good practices that help prevent medical errors.
ORIGINALITY/VALUE: Classification of HIS-induced errors and its management, which incorporates a socio-technical and multi-disciplinary approach, could guide researchers and practitioners to conduct a holistic and systematic evaluation.