Menopause Rating Scale (MRS) in the Malay language-translation and validation in a multiethnic population of Selangor, Malaysia.

BACKGROUND: The Menopause Rating Scale (MRS) is an internationally used tool to measure menopause-related symptoms and to date it is unavailable in the Malay language. We aimed to translate and validate the Malay language version of the MRS. METHODS: Translation of the English version of MRS into Malay was done by a bilingual expert and back translated. Translated version of MRS was reviewed by a panel to determine the face validity. A sample of 321 women aged 40-60 years residing in Klang, Selangor, Malaysia was selected by stratified random sampling method in a house-to-house survey. The Malay language version of MRS was self-administered. Reliability analyses, including test-retest reliability (on 30 women after a two-week interval) were conducted. To ascertain the construct validity, 11 items were analyzed confirmatory factor analysis was conducted to evaluate the structural model fit of the Malay language version of MRS. RESULTS: A total of 294 (91.6%) completed the survey and their mean age was 50.9 years (SD = 6.3). An overall Cronbach's alpha for MRS was 0.904. Cronbach's alpha for psychosomatic, urogenital, and somatovegetative subscales were 0.889, 0.846, and 0.776 respectively. The corrected item correlations were approximately 0.6 and inter-item correlations were between 0.3 and 0.9. On exploratory structural equation modelling, the chi-square test of goodness of fit yielded a significant value; χ2 = 78.4, df = 25, p < 0.001, (reported if N > 200). Additionally, the value of Tucker-Lewis Index (TLI) = 0.954showed a good fit to the model. CONCLUSION: The translated English version of the Menopause Rating Scale into the Malay language showed excellent reliability, test-retest reliability, and construct validity. The instrument can be used to assess menopause-related symptoms among Malaysian women.

A quantitative study exploring the acceptance of the eHealth model for mental wellness among digital workers.

BACKGROUND: eHealth makes use of information and communication technologies (ICT) to improve health. In the digital age, the use of eHealth applications and other health-related applications has gained popularity, particularly during the COVID-19 pandemic. As a result of the pandemic, many uncertainties have arisen, causing stress and affecting the mental health of many skilled workers in the digital industry, particularly in the ICT, computing, and creative media industries. eHealth applications have the potential to benefit people's health. As a prerequisite for effective implementation of eHealth for mental wellness (EHMW), this paper examines the acceptance of EHMW among digital workers in Malaysia.  The objectives of this research are two-fold: 1) To explore the acceptance of EHMW among digital workers in a local Premier Digital Tech Institution (PDTI), and 2) To explore how these talents' demographic profiles, mental health literacy and workplace wellness influence their acceptance of EHMW.   Methods: This research surveyed 41 digital workers who played vital roles in providing digital skills at a tertiary education level.    Results: Most respondents agreed that eHealth was appropriate for managing mental wellness. Among the three eHealth domains for managing mental wellness, the acceptance level is the highest for the application domain of "interacting for health", with male respondents more likely to accept the use of EHMW.  Conclusions: This small-scale survey could not fully examine the acceptance of eHealth and its usage patterns for mental wellness among digital workers in Malaysia. Future research will target more digital workers in Malaysia. This research addresses the research gap on the eHealth perspectives of digital workers on their acceptance, and the potential influence of demographic profiles, mental health literacy, and workplace wellness on EHMW's acceptance of digital health tools/platforms to promote their mental wellness.