METHOD: Data presented in this paper comes from semi-structured interviews of 33 women (from three different cultural backgrounds) attending for a child or postnatal care in six purposively selected maternal and child health (MCH) clinics in Kuala Lumpur.
RESULTS: Data were analyzed using framework analysis, which consists of three interrelated stages. In the first stage (data management), a careful selection of the data (transcripts) to be reviewed was made. The initial categories were developed based on the selected transcripts, and the initial themes were decided (known as a thematic framework). In the second stage (descriptive accounts), the thematic framework was investigated to identify any linkage and similarity between one category to another. The third stage of the analysis (explanatory accounts) involved checking exactly how the level of matching between the phenomena was distributed across the whole set of data. Using framework analysis, four themes were identified to explain the women's experience of postnatal depression namely the changes, causal explanations, dealing with postnatal depression, and perceived impacts.
CONCLUSIONS: The details of each stage of the analysis were explained to guide researchers through essential steps in undertaking framework analysis. Health care researchers may find a worked example addressed in this paper as useful when analyzing qualitative data.
METHODS: Based on a cross-sectional and facility-based study, 357 HIV positive women were recruited using the systematic sampling technique from two public hospitals in Jijiga town, Ethiopia. The Hospital Anxiety and Depression Scale (HADS) was administered for screening, and followed by a pre-tested questionnaire that comprised of Perceived Social Support and HIV stigma.
RESULTS: The results revealed that the prevalence of both anxiety and depression amidst HIV positive women was 28.9% and 32.5%, respectively. In the multivariate analysis, it was discovered that lack of formal education, being divorced, unemployed, and earning a monthly income less than 1400 ETB (37.5 USD) were significantly associated with depression. Women with symptomatic HIV clinical stage III (AOR =2.06, 95% C.I (0.75-5.61), with CD4 cell count below 250 (AOR = 1.14, 95% C.I (0.57-2.28), and with co-infections (AOR= 1.04, 95% C.I (0.40-2.71) also suffered from depression.
CONCLUSION: The study outcomes show that the prevalence of depression in women with HIV was 32.5%, but they were more likely to be depressed if they were illiterate, divorced, unemployed or had a financial burden. In addition, HIV positive women with less CD4 cell count and in the final clinical stage or suffered from a co-infection were also associated with depressive symptoms. This signifies the public health implications of psychological and cognitive morbidities of the illness among these women with chronic illnesses. Hence, future mental health interventions and HIV care should be integrated with substantial emphasis given to vulnerable groups, including HIV positive women.
METHODS: A qualitative study with purposive sampling was conducted using face-to-face semistructured interviews. A total of 20 participants from a tertiary general hospital in Kuantan, Malaysia, were recruited in this study. Data were analysed using framework analysis.
RESULTS: Two themes emerged from the analysis. The first theme explained the changes in the dietary practice of the participants postdiagnosis. The second theme revealed that the participants' dietary changes were greatly influenced by personal factors and external support from professionals, family and peers.
CONCLUSIONS: Urinary stone patients highlighted the fear of complications, self-determination and knowledge of nutrition as the main drivers of their dietary change postdiagnosis. Emphasising proper nutritional care by assessing and evaluating dietary self-management among patients can facilitate effective self-care in stone prevention management.
METHODS: A cross-sectional study via online questionnaire survey was conducted among students from a pre-university college on the East Coast of Malaysia. Convenience sampling was used to recruit the participants. The questionnaire consisted of three parts: i) sociodemographic data, ii) the Parental Authority Questionnaire and Depression, and iii) the Anxiety and Stress Scale (DASS-21). An online invitation to answer the questionnaire was done via the Student Representative Council (SRC). Data were analysed using descriptive statistics and Pearson's chi-square test.
RESULTS: A total of 431 participants responded to the online survey. The prevalence of depression, anxiety and stress was 49.0% (n = 210), 68.0% (n = 293) and 37.6% (n = 162), respectively. In addition, father's educational level (χ2 = 10.332, P = 0.001) and the authoritarian parenting style (χ2 = 10.099, P = 0.006) were significantly associated with mental health disorders among adolescents.
CONCLUSION: The prevalence of mental disorders among pre-university students is relatively high. Pre-university admission mental health screening is vital for early detection and intervention of mental disorders among this vulnerable group. Further research is imperative to establish a comprehensive plan of action that targets parental involvement in managing adolescent mental health disorders.