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Using Multivariate Statistics

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Modern Applied Statistics With S

การวจยเชงคณภาพ เปนเครองมอสำคญอยางหนงสำหรบทำความเขาใจสงคมและพฤตกรรมมนษย การวจยแบบการสรางทฤษฎจากขอมล กเปนหนงในหลายระเบยบวธการวจยเชงคณภาพทกำลงไดรบความสนใจ และเปนทนยมเพมสงขนเรอยๆ จากนกวชาการ และนกวจยในสาขาสงคมศาสตร และศาสตรอนๆ เชน พฤตกรรมศาสตร สงคมวทยา สาธารณสขศาสตร พยาบาลศาสตร จตวทยาสงคม ศกษาศาสตร รฐศาสตร และสารสนเทศศกษา ดงนน หนงสอเรอง “ConstructingGrounded Theory: A Practical Guide through Qualitative Analysis” หรอ “การสรางทฤษฎจากขอมล:แนวทางการปฏบตผานการวเคราะหเชงคณภาพ” จะชวยใหผอานมความรความเขาใจถงพฒนาการของปฏบตการวจยแบบสรางทฤษฎจากขอมล ตลอดจนแนวทาง และกระบวนการปฏบตการวจยอยางเปนระบบ จงเปนหนงสอทควรคาแกการอานโดยเฉพาะนกวจยรนใหม เพอเปนแนวทางในการนำความรความเขาใจไประยกตในงานวจยของตน อกทงนกวจยผเชยวชาญสามารถอานเพอขยายมโนทศนดานวจยใหกวางขวางขน

Constructing Grounded Theory: A Practical Guide through Qualitative Analysis

行銷硏究 : Marketing research

This article presents an introduction to the Health Belief Model (HBM). The HBM states that the perception of a personal health behavior threat is influenced by at least three factors: general health values, interest and concern about health; specific beliefs about vulnerability to a particular health threat; and beliefs about the consequences of the health problem. Once an individual perceives a threat to his health and is simultaneously cued to action, if his perceived benefits outweighs his perceived costs, then the individual is most likely to undertake the recommended preventive health action. Key words: health promotion, health belief model, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, self-efficacy. Content available only in Romanian.

Health Belief Model

Diabetes mellitus (DM) is an important public health concern, the impact of which is increased by the high prevalence of co-existing chronic medical conditions among subjects with DM. The aims of this study were therefore to (1) evaluate the impact of DM and co-existing chronic medical conditions on health-related quality of life (HRQoL) (which could be additive, synergistic or subtractive); (2) to determine the extent to which the SF-6D (a single-index preference measure) captures the multidimensional information provided by the SF-36 (a profile measure). Using data from a cross-sectional, population-based survey of Chinese, Malay and Indians in Singapore, we developed 9 separate multiple linear regression models, with each SF-36 scale or SF-6D index score being the dependent variable for one model. The influence of DM and a second chronic medical condition (hypertension (HTN), heart disease (HD), musculoskeletal illnesses (MS)) and their interactions were studied after adjusting for the influence of potential confounding variables. Among 5,224 subjects, the prevalence of DM, HTN, HD and MS were 5.9%, 10.7%, 2.4% and 26.6% respectively. DM lowered SF-36 scores by more than 2 points on 3 SF-36 scales and lowered SF-6D scores by 0.03 points. Subjects with DM and HTN, DM and HD or DM and MS experienced further lowering of SF-36 scores exceeding 2 points on at least 6 scales and further lowering of SF-6D scores by 0.05, 0.08 and 0.10 points respectively. Generally, DM and co-existing medical conditions exerted additive effects on HRQoL, with the exception of DM and heart disease, where a subtractive effect was noted. SF-6D index scores generally reflected the patterns of influence of DM and chronic medical conditions on SF-36 scores. DM and chronic medical conditions generally reduced HRQoL in this multiethnic general population in an additive, rather than synergistic or subtractive fashion. In this study, the SF-6D was a reasonably good summary measure for the SF-36.

/pdf/the-impact-of-diabetes-mellitus-and-other-chronic-medical-23bo1iwuri.pdf

The impact of diabetes mellitus and other chronic medical conditions on health-related Quality of Life: is the whole greater than the sum of its parts?

This study was carried out to evaluate progression in Parkinson's disease (PD) by analyzing time taken to transit from one Hoehn and Yahr (HY whereas the median time taken to progress from stage 3 to 4 and 4 to 5 were 24 and 26 months, respectively. Cox regression analysis revealed that older age-at-diagnosis, longer PD duration, and higher Unified Parkinson's Disease Rating Scale (UPDRS) motor scores at baseline were associated with a significantly faster progression through various H&Y stages. Gender and ethnicity were not associated with disease progression. In conclusion, H&Y transition time is a useful measure of disease progression in PD and may be utilized in clinical studies evaluating therapeutic interventions and prognostic factors in PD.

Progression of Parkinson's disease as evaluated by Hoehn and Yahr stage transition times†

Introduction Much effort has been devoted to educating the public about diabetes. However, the impact of such efforts has yet to be formally evaluated. Objectives To identify areas of knowledge that might require additional educational efforts. Methodology A cross-sectional survey was conducted to evaluate the general public's knowledge of diabetes. The respondents were required to answer 45 questions from a pre-tested questionnaire divided into five main sections, namely, general knowledge, risk factors, symptoms and complications, treatment and management, monitoring and other miscellaneous questions. A point was awarded for each correct response and zero for wrong or unsure responses. The maximum total score was 41. The miscellaneous questions were not scored. Results A total of 1337 subjects were interviewed. The mean score obtained by the respondents was 66.1% of the maximum possible total score (i.e. 27.1 points out of 41). The "correct answer" percentages for the individual questions from each section ranges from 22 to 83% (General knowledge), 31 to 91% (Risk factors), 48 to 81% (Symptoms and complications), 35 to 87% (Treatment and management), and 58 to 93% (Monitoring of condition).With respect to the source of medical information, health care professionals did not feature prominently (20.7%). Conclusion The public as represented by the samples in this survey is generally well informed about diabetes except for a few areas. Analysis of these areas would have a significant implication for future public education programme. Health care professionals should be more proactive in disseminating health information about diabetes to the public.

Public awareness of diabetes mellitus in Singapore.

Background: The coronavirus disease (COVID-19) pandemic presents one of the most challenging global crises at the dawn of a new decade. Public health authorities (PHAs) are increasingly adopting the use of social media such as Facebook to rapidly communicate and disseminate pandemic response measures to the public. Understanding of communication strategies across different PHAs and examining the public response on the social media landscapes can help improve practices for disseminating information to the public.
Objective: This study aims to examine COVID-19-related outreach efforts of PHAs in Singapore, the United States, and England, and the corresponding public response to these outreach efforts on Facebook.
Methods: Posts and comments from the Facebook pages of the Ministry of Health (MOH) in Singapore, the Centers for Disease Control and Prevention (CDC) in the United States, and Public Health England (PHE) in England were extracted from January 1, 2019, to March 18, 2020. Posts published before January 1, 2020, were categorized as pre-COVID-19, while the remaining posts were categorized as peri-COVID-19 posts. COVID-19-related posts were identified and classified into themes. Metrics used for measuring outreach and engagement were frequency, mean posts per day (PPD), mean reactions per post, mean shares per post, and mean comments per post. Responses to the COVID-19 posts were measured using frequency, mean sentiment polarity, positive to negative sentiments ratio (PNSR), and positive to negative emotions ratio (PNER). Toxicity in comments were identified and analyzed using frequency, mean likes per toxic comment, and mean replies per toxic comment. Trend analysis was performed to examine how the metrics varied with key events such as when COVID-19 was declared a pandemic.
Results: The MOH published more COVID-19 posts (n=271; mean PPD 5.0) compared to the CDC (n=94; mean PPD 2.2) and PHE (n=45; mean PPD 1.4). The mean number of comments per COVID-19 post was highest for the CDC (mean CPP 255.3) compared to the MOH (mean CPP 15.6) and PHE (mean CPP 12.5). Six major themes were identified, with posts about prevention and safety measures and situation updates being prevalent across the three PHAs. The themes of the MOH’s posts were diverse, while the CDC and PHE posts focused on a few themes. Overall, response sentiments for the MOH posts (PNSR 0.94) were more favorable compared to response sentiments for the CDC (PNSR 0.57) and PHE (PNSR 0.55) posts. Toxic comments were rare (0.01%) across all PHAs.
Conclusions: PHAs’ extent of Facebook use for outreach purposes during the COVID-19 pandemic varied among the three PHAs, highlighting the strategies and approaches that other PHAs can potentially adopt. Our study showed that social media analysis was capable of providing insights about the communication strategies of PHAs during disease outbreaks.

/pdf/measuring-the-outreach-efforts-of-public-health-authorities-2mvhcsli61.pdf

Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison.

Introduction: Asia will be at the forefront of the current epidemic of diabetes mellitus. Quality of life (QOL) is an important outcome measure in the assessment of diabetes care. However, few QOL instruments are culturally suitable for use in Asian countries. The Audit of Diabetes-Dependent Quality-of-Life (ADDQoL) questionnaire is a third-generation individualised QOL instrument. Individualised instruments such as the ADDQoL have the potential to be useful and less costly alternatives to computerised adaptive testing (CAT), which may not be practical in developing countries. Objective: To evaluate and validate the ADDQoL questionnaire in Englishspeaking patients with diabetes in Singapore, a multi-ethnic Asian country. Methods: The ADDQoL and EQ-5D were administered to English-speaking respondents with type 1 or 2 diabetes (aged ≥18 years) recruited from a tertiary acute-care referral hospital by convenience sampling. The usefulness of the key design features of the ADDQoL were assessed by measuring the number of zeroimportance responses, the change in item ranking with and without weighting for importance, and the frequency of utilisation of the ‘not applicable’ (NA) options. The acceptability, factor structure and internal consistency (Cronbach’s α) of the ADDQoL were also assessed. Data were subjected to unforced factor analysis with oblimin rotation and then the condition was set to force a one-factor solution. The validity of the ADDQoL was tested with the following hypotheses: those with moderate or severe problems on the EQ-5D would have worse ADDQoL average weighted impact (AWI) scores than those with a perfect health rating on the EQ-5D; those with better Present QOL scores on the ADDQoL would have better EQ-5D utility and visual analogue scale (VAS) scores; on the ADDQoL, AWI scores would correlate better with diabetes-dependent QOL than with Present QOL scores; and female respondents, those who required insulin or had longer duration of known diabetes would have worse ADDQoL AWI scores (known-group validity). Results: We analysed data from 152 respondents (49% Chinese, 34% Indian; 45% female; mean age 52 years, range 18–80; mean duration of known diabetes 10 years, range 0–62). There were few missing data. Weighted scoring and NA options were shown to be necessary, thus supporting the usefulness of individualised health-related QOL measures. Factor structure of the ADDQoL was supported and internal consistency was high (α = 0.94). All hypotheses were fulfilled except for one that was partially fulfilled; respondents with longer duration of known diabetes did not report worse ADDQoL AWI scores. Conclusions: The ADDQoL is culturally appropriate, valid, reliable and well accepted among Singaporean patients with diabetes. Individualised measures such as the ADDQoL allow one to obtain precise score estimates and may offer developing countries a useful alternative to CAT.

Hwee Lin Wee

Papers

The impact of diabetes mellitus and other chronic medical conditions on health-related Quality of Life: is the whole greater than the sum of its parts?

Progression of Parkinson's disease as evaluated by Hoehn and Yahr stage transition times†

Public awareness of diabetes mellitus in Singapore.

Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison.

Usefulness of the Audit of Diabetes-Dependent Quality-of-Life (ADDQoL) Questionnaire in Patients with Diabetes in a Multi-Ethnic Asian Country