Aim: The study was designed to elucidate the relationships between cultural values, contact level, differential nursing practices and stigma towards mental illness among General and Psychiatric Nurses (N = 208) from A...Aim: The study was designed to elucidate the relationships between cultural values, contact level, differential nursing practices and stigma towards mental illness among General and Psychiatric Nurses (N = 208) from Anglo and Chinese backgrounds in Australia. The study results aimed at informing education disciplines, health care providers and policy makers to examine strategies that seek to diminish stigma of mental illness and to reflect on cultural sensitive issues associated with mental illness. This paper reports analyses conducted with AMOS-5 within the Chinese sample (n = 84). Method: A cross-sectional survey explored a number of factors such as contact factor, cultural values (Individualism (IND), In group Role Concern (IRC) and In group Interdependence (INT)), “General Stigma” measured by the Social Distancing (STPP) and Negative Stereotyped (DISL) Scales and how these factors might translate into nurses’ endorsement of differential care practices between two vignettes (diabetes versus mental illness), which was termed “Practice Stigma”. “Practice Stigma” was measured by Caring Approach (CARE), Nursing Satisfaction (SATI), Authoritarian Stance (AUTH) and Negativity (NEGA) Scales. Differential practices (DIF_CARE, DIF_SATI, DIF_AUTH and DIF_NEGA) were obtained by subtracting the diabetes case from the mental illness case. Findings: Chinese nurses endorsed more highly collectivist values measured by the variables “In group Interdependence” and “In group Role Concern” when compared with Anglo-Australian nurses, but there was no difference in individualist values measured by “Individualism”. Chinese nurses endorsed more highly general stigma towards mental illness than Anglo nurses when statistically controlled for differences in background demographics and contact factors. Chinese nurses endorsed more care/support and authoritarianism in their clinical approaches than Anglo-Australian nurses, although there was no significant interaction effect between ethnicity and patient type on care and authoritarianism. Chinese nurses endorsed more highly differential negativity than Anglo nurses for the mental illness case than the diabetes case, an effect mediated by differences in general stigma between these two ethnic groups. Within the Chinese sample, higher contact was related to lower differential negativity for the mental illness case than the diabetes case. Several path analyses suggested that Chinese values influenced differential negativity, mediated by general stigma and prior diversified contact with people having a mental illness.展开更多
Background: Problem based learning (PBL) is an innovative way of delivering instruction in which problems are used as the basis of learning. Problem based learning was developed in the 1960s by Harold Barrows at McMas...Background: Problem based learning (PBL) is an innovative way of delivering instruction in which problems are used as the basis of learning. Problem based learning was developed in the 1960s by Harold Barrows at McMaster University Medical School in Canada. Since then, PBL had been im-plemented as a teaching method in other reputable education institutions internationally, includ-ing nursing education. Curriculum reform is proposed through PBL in conjunction with patient simulation in undergraduate nursing education. The first author, Tan Kan Ku, PhD Candidate, MHS (Transcultural Mental Health—by Research) worked as a Registered Nurse for more than two decades internationally in England, New Zealand, Saudi Arabia and Australia, where she worked as a Case Manager in Community Mental Health Rehabilitation Program. Since 2001, she focused on nurse education and research into the stigma of mental illness from a cross-cultural perspective. Currently, she teaches Mental Health, Cultural Diversity and Research in the Diploma of Nursing course at Victoria University in Melbourne, Australia, while completing her PhD thesis for examination at Charisma University. The second author, Dr. Michael Ha, FSA, MAAA, CFA, CPA (Australia) FRM, PRM, LLM, is the Founding Director of the MSc Financial Mathematics programme at Xian Jiaotong-Liverpool University. He was previously Vice President of Strategic Business In-itiatives Units at ING Life Insurance in its Taiwan operation. Ninety percent of his students are enrolled in the Financial Mathematics programme. They learn not only mathematics and statistics theories but also their applications in the Finance and Investment areas, especially Portfolio Con-struction and Financial Risk Management. Creating a real-world Finance work environment in university lecture-halls embracing theories and practice, Dr. Ha strongly believes the PBL method can be employed in the Financial Mathematics training agenda so students can be better-prepared for work. Students are no longer instructed-learners but active thinkers and problem-solvers. Conclusion: Educators in fields such as Medical, Nursing, Engineering, Financial Mathematics, Ac-counting, Computing, etc., need to be prepared to change their teaching philosophy from didactic to problem solving for PBL to be implemented. Constructive alignment is recommended for curri-culum reform.展开更多
Background: Stigma of mental illness is often examined in social psychology and psychiatric rehabilitation using attitude studies. Participants of these studies are among health professionals and general public member...Background: Stigma of mental illness is often examined in social psychology and psychiatric rehabilitation using attitude studies. Participants of these studies are among health professionals and general public members. A common measure of stigma is using validated scale which measures the opinion on mental illness. Method: A cross-sectional survey was presented to 208 registered nurses. Principal component analyses (with oblique rotation) were used to identify underlying dimensionality in the correlations of items for social distancing. Subscale score variations were analysed across nurse type and ethnicity to examine the discriminant validity of the subscale. Results: Principal component analysis (PCA) revealed one dimension accounting for 43.5% of the variations within items for social distancing. Developed as scale, termed Stigma towards Psychiatric Patients (STPP), reliability analysis indicated high internal consistency with respective alpha coefficient of 0.8. Chinese general nurses scored highest on social distancing than the other three groups: Chinese psychiatric nurses, Anglo general and Anglo psychiatric nurses. Conclusion: Psychometric evaluation of the Stigma Scale (STPP) suggests it is a reliable instrument for measuring social distancing attitudes towards mental illness. The effect of ethnicity on stigmatising attitudes is not entirely accounted for by exposure to people with mental illness.展开更多
Background: Stigma of mental illness is often related to attitude studies in social science research, cross-cultural psychology and education in social behaviour. Majority of these studies used opinion on mental illne...Background: Stigma of mental illness is often related to attitude studies in social science research, cross-cultural psychology and education in social behaviour. Majority of these studies used opinion on mental illness to examine attitudes. Method: A cross-sectional survey was presented to 208 registered nurses in Australia. Principal component analyses (with oblique rotation) were used to identify underlying dimensionality in the correlations of items for negative stereotyping attitudes. Subscale score variations were analysed across nurse type and ethnicity to examine the discriminant validity of the subscales. Results: Principal component analysis (PCA) revealed one dimension accounting for 50.5% of the variations within items for negative stereotyping. Developed as scale, labelled as “Dislike Attributed to Mental Illness (DISL)”, reliability analysis indicated high internal consistency with alpha coefficient of .93. Chinese general nurses scored highest on the DISL scale than the other three groups: Chinese psychiatric nurses, Anglo general and Anglo psychiatric nurses. Conclusion: Psychometric evaluation of the Dislike Attributed to Mental Illness (DISL) indicates that it is a reliable scale for measuring negative stereotyping attitudes towards mental illness. The main statistical significance was due to nurse ethnicity.展开更多
文摘Aim: The study was designed to elucidate the relationships between cultural values, contact level, differential nursing practices and stigma towards mental illness among General and Psychiatric Nurses (N = 208) from Anglo and Chinese backgrounds in Australia. The study results aimed at informing education disciplines, health care providers and policy makers to examine strategies that seek to diminish stigma of mental illness and to reflect on cultural sensitive issues associated with mental illness. This paper reports analyses conducted with AMOS-5 within the Chinese sample (n = 84). Method: A cross-sectional survey explored a number of factors such as contact factor, cultural values (Individualism (IND), In group Role Concern (IRC) and In group Interdependence (INT)), “General Stigma” measured by the Social Distancing (STPP) and Negative Stereotyped (DISL) Scales and how these factors might translate into nurses’ endorsement of differential care practices between two vignettes (diabetes versus mental illness), which was termed “Practice Stigma”. “Practice Stigma” was measured by Caring Approach (CARE), Nursing Satisfaction (SATI), Authoritarian Stance (AUTH) and Negativity (NEGA) Scales. Differential practices (DIF_CARE, DIF_SATI, DIF_AUTH and DIF_NEGA) were obtained by subtracting the diabetes case from the mental illness case. Findings: Chinese nurses endorsed more highly collectivist values measured by the variables “In group Interdependence” and “In group Role Concern” when compared with Anglo-Australian nurses, but there was no difference in individualist values measured by “Individualism”. Chinese nurses endorsed more highly general stigma towards mental illness than Anglo nurses when statistically controlled for differences in background demographics and contact factors. Chinese nurses endorsed more care/support and authoritarianism in their clinical approaches than Anglo-Australian nurses, although there was no significant interaction effect between ethnicity and patient type on care and authoritarianism. Chinese nurses endorsed more highly differential negativity than Anglo nurses for the mental illness case than the diabetes case, an effect mediated by differences in general stigma between these two ethnic groups. Within the Chinese sample, higher contact was related to lower differential negativity for the mental illness case than the diabetes case. Several path analyses suggested that Chinese values influenced differential negativity, mediated by general stigma and prior diversified contact with people having a mental illness.
文摘Background: Problem based learning (PBL) is an innovative way of delivering instruction in which problems are used as the basis of learning. Problem based learning was developed in the 1960s by Harold Barrows at McMaster University Medical School in Canada. Since then, PBL had been im-plemented as a teaching method in other reputable education institutions internationally, includ-ing nursing education. Curriculum reform is proposed through PBL in conjunction with patient simulation in undergraduate nursing education. The first author, Tan Kan Ku, PhD Candidate, MHS (Transcultural Mental Health—by Research) worked as a Registered Nurse for more than two decades internationally in England, New Zealand, Saudi Arabia and Australia, where she worked as a Case Manager in Community Mental Health Rehabilitation Program. Since 2001, she focused on nurse education and research into the stigma of mental illness from a cross-cultural perspective. Currently, she teaches Mental Health, Cultural Diversity and Research in the Diploma of Nursing course at Victoria University in Melbourne, Australia, while completing her PhD thesis for examination at Charisma University. The second author, Dr. Michael Ha, FSA, MAAA, CFA, CPA (Australia) FRM, PRM, LLM, is the Founding Director of the MSc Financial Mathematics programme at Xian Jiaotong-Liverpool University. He was previously Vice President of Strategic Business In-itiatives Units at ING Life Insurance in its Taiwan operation. Ninety percent of his students are enrolled in the Financial Mathematics programme. They learn not only mathematics and statistics theories but also their applications in the Finance and Investment areas, especially Portfolio Con-struction and Financial Risk Management. Creating a real-world Finance work environment in university lecture-halls embracing theories and practice, Dr. Ha strongly believes the PBL method can be employed in the Financial Mathematics training agenda so students can be better-prepared for work. Students are no longer instructed-learners but active thinkers and problem-solvers. Conclusion: Educators in fields such as Medical, Nursing, Engineering, Financial Mathematics, Ac-counting, Computing, etc., need to be prepared to change their teaching philosophy from didactic to problem solving for PBL to be implemented. Constructive alignment is recommended for curri-culum reform.
文摘Background: Stigma of mental illness is often examined in social psychology and psychiatric rehabilitation using attitude studies. Participants of these studies are among health professionals and general public members. A common measure of stigma is using validated scale which measures the opinion on mental illness. Method: A cross-sectional survey was presented to 208 registered nurses. Principal component analyses (with oblique rotation) were used to identify underlying dimensionality in the correlations of items for social distancing. Subscale score variations were analysed across nurse type and ethnicity to examine the discriminant validity of the subscale. Results: Principal component analysis (PCA) revealed one dimension accounting for 43.5% of the variations within items for social distancing. Developed as scale, termed Stigma towards Psychiatric Patients (STPP), reliability analysis indicated high internal consistency with respective alpha coefficient of 0.8. Chinese general nurses scored highest on social distancing than the other three groups: Chinese psychiatric nurses, Anglo general and Anglo psychiatric nurses. Conclusion: Psychometric evaluation of the Stigma Scale (STPP) suggests it is a reliable instrument for measuring social distancing attitudes towards mental illness. The effect of ethnicity on stigmatising attitudes is not entirely accounted for by exposure to people with mental illness.
文摘Background: Stigma of mental illness is often related to attitude studies in social science research, cross-cultural psychology and education in social behaviour. Majority of these studies used opinion on mental illness to examine attitudes. Method: A cross-sectional survey was presented to 208 registered nurses in Australia. Principal component analyses (with oblique rotation) were used to identify underlying dimensionality in the correlations of items for negative stereotyping attitudes. Subscale score variations were analysed across nurse type and ethnicity to examine the discriminant validity of the subscales. Results: Principal component analysis (PCA) revealed one dimension accounting for 50.5% of the variations within items for negative stereotyping. Developed as scale, labelled as “Dislike Attributed to Mental Illness (DISL)”, reliability analysis indicated high internal consistency with alpha coefficient of .93. Chinese general nurses scored highest on the DISL scale than the other three groups: Chinese psychiatric nurses, Anglo general and Anglo psychiatric nurses. Conclusion: Psychometric evaluation of the Dislike Attributed to Mental Illness (DISL) indicates that it is a reliable scale for measuring negative stereotyping attitudes towards mental illness. The main statistical significance was due to nurse ethnicity.
