What inhibits "speaking up" for patient safety among healthcare workers? A cross-sectional study in Malaysia.

BACKGROUND: In healthcare, "speaking up" refers to when healthcare workers raise concerns regarding patient safety through questions, sharing information, or expressing their opinion to prevent harmful incidents and ensure patient safety. Conversely, withholding voice is an act of not raising concerns, which could be beneficial in certain situations. Factors associated with speaking up and withholding voices are not fully understood, especially in strong authoritarian societies, such as Malaysia. This study aimed to examine the factors associated with speaking up and withholding the voices of healthcare workers in Malaysia, thus providing suggestions that can be used in other countries facing similar patient safety challenges. METHODS: This cross-sectional study was conducted in a tertiary hospital in Sarawak State, Malaysia. Data were collected from 474 healthcare workers from 43 departments using a self-administered questionnaire for speaking up and withholding voices measures in 4 weeks prior to data analysis as well as socio-demographic factors of healthcare workers (sex, age group, profession, department, weekly work hours for patient care, years of employment in the hospital, and the hierarchical level) and speaking up related climate of the working environment were recorded. Data were analyzed using descriptive statistics. Logistic regression was performed to find out (adjusted) odds ratio of frequent speaking up and withholding voices. RESULTS: Nurse compared to doctors and healthcare workers with short weekly working hours were more likely to speak up. Healthcare workers in emergency and intensive care department, those with short years of employment, and those who worked at low hierarchical levels were less likely to speak up. Healthcare workers in discouraging environment towards speaking up were more likely to withhold their voices. CONCLUSIONS: This study demonstrates the characteristics of healthcare workers who speak up and those who withhold their voices in Malaysia. To ensure patient safety and prevent harm, it is essential to establish an encouraging environment that promotes speaking up and prevents withholding voices among healthcare worker, especially in circumstances where multiple types of healthcare workers with different socio-demographic backgrounds work together.

Measuring population health and quality of life: Developing and testing of the significant quality of life measure (SigQOLM).

Quality of life (QOL) should ideally be determined by a broader spectrum of measurable parameters. This study aims to develop and validate a study instrument that is designed to determine a holistic measure of health and non-health aspects of QOL, and it is called the 'Significant Quality of Life Measure' (SigQOLM). This study involves five phases which aim to (i) explore and understand the subject matter content, (ii) develop a questionnaire, (iii) assess its content validity and face validity, (iv) conduct a pilot study, and lastly (v) perform a field-test by using the questionnaire. For the field-testing phase, a cross-sectional study was conducted which elicited responses from healthcare workers via a self-administered survey for all the SigQOLM items. Based on the results, the overall framework of the SigQOLM consists of four elements, 18 domains with 69 items. The element of "Health" is measured by nine domains, while "Relationships", "Functional activities, and "Survival" are measured by three domains respectively. The SigQOLM has been developed successfully and then validated with a high level of reliability, validity, and overall model fit. Therefore, the SigQOLM will provide researchers and policymakers another viable option to elicit a more comprehensive outcome measure of QOL which shall then enable them to implement specific interventions for improving the QOL of all the people, both healthy or otherwise.

Development of a Quality-of-Life Instrument to Measure Current Health Outcomes: Health-Related Quality of Life with Six Domains (HRQ-6D).

Health-related quality of life (HRQOL) is one of the most important outcome measures to be assessed by medical research. This study aims to develop and validate an instrument called the "health-related quality of life with six domains" (HRQ-6D), which aims to measure an individual's health-related quality of life within a 24 h period of time. This is a questionnaire development study involving five phases, which are (i) to explore the subject matter content for gaining a better understanding of the topic, (ii) to develop the questionnaire, (iii) to assess both its content validity and face validity, (iv) to conduct a pilot study, and finally, (v) to undertake a field testing of the questionnaire. For the field-testing phase, a cross-sectional study involving a self-administered survey for HRQ-6D items was conducted among healthcare workers with various health conditions. Exploratory factor analysis was initially applied to construct the major dimensions of the HRQ-6D. Confirmatory factor analysis was subsequently applied to evaluate the model fit of the overall framework of the HRQ-6D. The clinical utility of this HRQ-6D was also assessed via its association with actual clinical evidence. A total of 406 respondents participated in the survey. Six domains were identified from the analysis, namely "pain", "physical strength", "emotion", "self-care", "mobility", and "perception of future health" comprising two items in each domain. Each domain was reported to have a minimum value of Cronbach's alpha of 0.731, and the model fit for the overall framework of the HRQ-6D was also found to be excellent. Exploratory factor analysis was undertaken for the 12 items of the HRQ-6D. All the domains can be categorized into three major dimensions, namely "health", "body function", and "future perception", with a minimum value for their factor loadings of at least 0.507. A notable finding was that the HRQ-6D was significantly associated with an individual's existing comorbidities and current status of health (p < 0.05). This study successfully validated the HRQ-6D, and we found it to possess both excellent levels of reliability and validity and a satisfactory degree of model fit; it was also significantly associated with actual clinical evidence.