Design and validation of a questionnaire for measuring perceived risk of skin cancer

Risk Perception Scale of Disease Aggravation for older patients with non-communicable diseases: Instrument development and cross-sectional validation study

AIM

The present study aimed to develop the Risk Perception Scale of Disease Aggravation for older patients with non-communicable diseases and evaluate its psychometric properties.

DESIGN

Instrument development and cross-sectional validation study were conducted.

METHODS

This study contained four phases. In phase I, a systematic literature review was conducted to identify the conception of disease aggravation and risk perception. In phase II, a draft scale was formulated from face-to-face semi-structured in-depth interviews by Colaizzi's seven-step qualitative analysis method and group discussions among the researchers. In phase III, domains and items of the scale were revised in accordance with the suggestions from Delphi consultation and patient feedback. In phase IV, psychometric properties were evaluated.

FINDINGS

Exploratory and confirmatory factor analyses determined four structural factors. Convergent and discriminant validities were acceptable because the average variance extracted coefficients ranged from .622 to .725, and the square roots of the average variance extracted coefficients for the four domains were larger than those of bivariate correlations between domains. The scale also exhibited excellent internal consistency and test-retest reliability (Cronbach's alpha coefficient = .973, intraclass correlation coefficient = .840).

CONCLUSIONS

Risk Perception Scale of Disease Aggravation is a new instrument that measures the risk perception of disease aggravation for older patients with non-communicable diseases, including possible reason, serious outcome, behaviour control and affection experience. The scale contains 40 items that are scored on a 5-point Likert scale, and it has acceptable validity and reliability.

IMPACT

The scale is applied to identify different levels of risk perception of disease aggravation for older patients with non-communicable diseases. Clinical nurses can provide targeted interventions to improve older patients' risk perception of disease aggravation based on levels of risk perception during hospitalization and the period before discharge.

PATIENT OR PUBLIC CONTRIBUTION

Experts provided suggestions for revising the scale dimensions and items. Older patients participated in the scale revision process to improve the wording of the scale.

Investigating the impact of artificial intelligence on human resource functions in the health sector of China: A mediated moderation model

Artificial intelligence (AI) is rapidly transforming the way human resources (HR) functions are carried out in the health sector of China. This study aims to scrutinize the impact of artificial intelligence on the human resource functions operating in the healthcare sector through technological awareness, social media influence, and personal innovativeness. Additionally, this study examines the moderating role of perceived risk between technological awareness and human resources functions. An online questionnaire was administered to human resources professionals in the health sector of China to gather data from 363 respondents. Partial least squares structural equation modeling (PLS-SEM), a statistical procedure, is implemented to investigate the hypothesis of the projected model of artificial intelligence and human resource functions. The research findings reveal that artificial intelligence significantly influences human resource functions through technological awareness, social media influence, and personal innovativeness. Furthermore, perceived risk significantly moderates the relationship between technological awareness and human resource functions. The findings of this study have important implications for HR practitioners and policymakers in the health sectors of China, who can leverage artificial intelligence technologies to optimize and improve organizational performance. However, its adoption needs to be carefully planned and managed to reap the full benefits of this transformative technology.

Risk perception of non-communicable diseases: A systematic review on its assessment and associated factors

BACKGROUND

The burden of non-communicable diseases (NCDs) is increasing. Risk perception of NCDs is an important factor towards the uptake of preventive health interventions. There are various questionnaires assessing risk perception of NCDs, but no internationally standardized questionnaire has been available. Identification of factors associated with risk perception of NCDs may facilitate the development of targeted interventions. This systematic review aims to identify available questionnaire assessing risk perception of NCDs and the factors associated with risk perception of NCDs.

METHODS

The reporting of this systematic review is in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We carried out a literature search through three databases (Scopus, PubMed, Web of Science) and targeted original article published in English between 2012 and 2021. Quality appraisal of the eligible articles was conducted using the Mixed Methods Appraisal Tool. Findings were synthesized using content analysis.

RESULTS

A total of 86 studies were included. We found a variety of questionnaires assessing risk perception of NCDs, with many differences in their development, domains, items and validity. We also identified several personal, sociopsychological and structural factors associated with risk perception of NCDs.

LIMITATIONS

Most of the included studies were of cross-sectional design, and therefore the quality of evidence was considered low and exhibit a high risk of bias. The role of publication bias within this systematic review should be acknowledged as we did not include grey literature. Additionally, language bias must be considered as we only included English-language publications.

CONCLUSION

Further development and testing of available questionnaire is warranted to ensure their robustness and validity in measuring risk perception of NCDs. All the identified factors deserve further exploration in longitudinal and experimental studies.

Inflammatory Bowel Disease and Skin Cancer: An Assessment of Patient Risk Factors, Knowledge, and Skin Practices

Objective. Patients with inflammatory bowel disease (IBD) are at increased risk from skin cancer. Aims include assessing IBD patients' risk factors and knowledge of skin cancer and current skin protection practices to identify gaps in patient education regarding skin cancer prevention in IBD. Methods. IBD patients ≥ 18 years were recruited to complete an online survey. Results. 164 patients (mean age 43.5 years, 63% female) with IBD (67% Crohn's disease, 31% ulcerative colitis, and 2% indeterminate colitis) were included. 12% (n = 19) of patients had a personal history and 34% (n = 55) had a family history of skin cancer. Females scored better on skin protection (16.94/32 versus 14.53/32, P ≤ 0.03) and awareness (35.16/40 versus 32.98/40, P ≤ 0.03). Patients over 40 years old scored better on prevention (17.45/28 versus 15.35/28, P = 0.03). Patients with skin cancer scored better on prevention (20.56/28 versus 15.75/28, P ≤ 0.001) and skin protection (21.47/32 versus 15.33/32, P ≤ 0.001). 61% of patients recognized the link between skin cancer and IBD. Conclusions. The majority of IBD patients are aware of the link between skin cancer and IBD; however, skin protection practices are suboptimal. This emphasizes the role of healthcare professionals in providing further education for skin cancer prevention in the IBD population.