Method: Generalized logistic growth modelling (GLM) approach was adopted to make prediction of growth of cases according to each state in Malaysia. The data was obtained from official Ministry of Health Malaysia daily report, starting from 26 September 2020 until 1 January 2021.
Result: Sabah, Johor, Selangor and Kuala Lumpur are predicted to exceed 10,000 cumulative cases by 2 February 2021. Nationally, the growth factor has been shown to range between 0.25 to a peak of 3.1 throughout the current Movement Control Order (MCO). The growth factor range for Sabah ranged from 1.00 to 1.25, while Selangor, the state which has the highest case, has a mean growth factor ranging from 1.22 to 1.52. The highest growth rates reported were in WP Labuan for the time periods of 22 Nov - 5 Dec 2020 with growth rates of 4.77. States with higher population densities were predicted to have higher cases of COVID-19.
Conclusion: GLM is helpful to provide governments and policymakers with accurate and helpful forecasts on magnitude of epidemic and peak time. This forecast could assist government in devising short- and long-term plan to tackle the ongoing pandemic.
METHODS: Self-completed surveys were administered face-to-face to 5992 women (aged 45-75 years) in Indonesia, Malaysia, Singapore, Taiwan, and Thailand.
RESULTS: Of 638 postmenopausal women with GSM symptoms, only 35% were aware of the GSM condition, most of whom first heard of GSM through their physician (32%). The most common symptoms were vaginal dryness (57%) and irritation (43%). GSM had the greatest impact on sexual enjoyment (65%) and intimacy (61%). Only 25% had discussed their GSM symptoms with a HCP, and such discussions were mostly patient-initiated (64%) rather than HCP-initiated (24%). Only 21% had been clinically diagnosed with GSM and only 24% had ever used treatment for their symptoms. Three-quarters of those who had used treatment for GSM had discussed their symptoms with a HCP compared to only 9% of those who were treatment-naïve.
CONCLUSION: GSM is underdiagnosed and undertreated in Asia. As discussion of GSM with HCPs appears to be a factor influencing women's awareness and treatment status, a more active role by HCPs to facilitate early discussions on GSM and its treatment options is needed.
METHODS: A shared decision-making scale was developed using a qualitative research derived model and refined using Rasch and factor analysis. The scale was used by staff in the hospital for four consecutive years (n = 152, 121, 119 and 121) and by two independent patients' and carers' samples (n = 223 and 236).
RESULTS: Respondents had difficulty determining what constituted a decision and the scale was redeveloped after first use in patients and carers. The initial focus on shared decision-making was changed to shared problem-solving. Two factors were found in the first staff sample: shared problem-solving and shared decision-making. The structure was confirmed on the second patients' and carers' sample and an independent staff sample consisting of the first data-points for the last three years. The shared problem-solving and decision-making scale (SPSDM) demonstrated evidence of convergent and divergent validity, internal consistency, measurement invariance on longitudinal data and sensitivity to change.
CONCLUSIONS: Shared problem-solving was easier to measure than shared decision-making in this context.
PRACTICE IMPLICATIONS: Shared problem-solving is an important component of collaboration, as well as shared decision-making.