Su-Vui Lo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Su-Vui Lo has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Gabriel Matthew Leung
School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
2 shared publications - Barbara Starfield
Johns Hopkins University, Baltimore, USA
1 shared publication - Benjamin John Cowling
WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
1 shared publication - Eva Lh Tsui
Statistics and Data Science Department, Hospital Authority, Hospital Authority Building, 147B Argyle Street, Kowloon, Hong Kong
1 shared publication - Irene O.L. Wong
Department of Community Medicine and School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
1 shared publication - Kenny Kung
Division of Family Medicine, School of Public Health & Primary Care, Chinese University of Hong Kong, Shatin, Hong Kong
1 shared publication
Latest Publications
- Open Access
- 6 July 2010
- Published by Springer Nature in BMC Public Health
- Vol. 10 (1) , 397
Comparison of primary care experiences among adults in general outpatient clinics and private general practice clinics in Hong Kong
The main goal of Hong Kong's publicly-funded general outpatient clinics (GOPCs) is to provide primary medical services for the financially vulnerable. The objective of the current study was to compare the primary care experiences of GOPC users and the users of care provided by private general practitioners (GPs) in Hong Kong via a territory-wide telephone survey.
- 6 July 2010
- Published by Springer Nature in BMC Public Health
- Vol. 10 (1) , 397
Open AccessComparison of primary care experiences among adults in general outpatient clinics and private general practice clinics in Hong Kong
The main goal of Hong Kong's publicly-funded general outpatient clinics (GOPCs) is to provide primary medical services for the financially vulnerable. The objective of the current study was to compare the primary care experiences of GOPC users and the users of care provided by private general practitioners (GPs) in Hong Kong via a territory-wide telephone survey.
- 31 January 2009
- Published by Elsevier in Social Science & Medicine
- Vol. 68 (1) , 124-132
A multilevel analysis of the effects of neighbourhood income inequality on individual self-rated health in Hong Kong
- 31 January 2009
- Published by Elsevier in Social Science & Medicine
- Vol. 68 (1) , 124-132
A multilevel analysis of the effects of neighbourhood income inequality on individual self-rated health in Hong Kong
- Open Access
- 28 April 2005
- Published by Springer Nature in BMC Health Services Research
- Vol. 5 (1) , 31
Under-reporting of inpatient services utilisation in household surveys – a population-based study in Hong Kong
Background: Recognising that household interviews may produce biased estimates of health services utilisation, we examined for under- and over-reporting of hospitalisation episodes in three recent, consecutive population-based household surveys in Hong Kong. Methods: Territory-wide inpatient service utilisation volumes as estimated from the 1999, 2001 and 2002 Thematic Household Surveys (THS) were benchmarked against corresponding statistics derived from routine administrative databases. Between-year differences on net under-reporting were quantified by Cohen's d effect size. To assess the potential for systematic biases in under-reporting, age- and sex-specific net under-reporting rates within each survey year were computed and the F-test was performed to evaluate differences between demographic subgroups. We modelled the effects of age and sex on the likelihood of ever hospitalisation through logistic regression to compare the odds ratios respectively derived from survey and administrative data. Results: The extent of net under-reporting was moderately large in all three years amounting to about one-third of all inpatient episodes. However, there did not appear to be significant systematic biases in the degree of under-reporting by age or sex on stratified analyses and logistic regression modelling. Conclusion: Under-reporting was substantial in Hong Kong's THS. Recall bias was likely most responsible for such reporting inaccuracies. A proper full-design record-check study should be carried out to confirm the present findings.
- 28 April 2005
- Published by Springer Nature in BMC Health Services Research
- Vol. 5 (1) , 31
Open AccessUnder-reporting of inpatient services utilisation in household surveys – a population-based study in Hong Kong
Background: Recognising that household interviews may produce biased estimates of health services utilisation, we examined for under- and over-reporting of hospitalisation episodes in three recent, consecutive population-based household surveys in Hong Kong. Methods: Territory-wide inpatient service utilisation volumes as estimated from the 1999, 2001 and 2002 Thematic Household Surveys (THS) were benchmarked against corresponding statistics derived from routine administrative databases. Between-year differences on net under-reporting were quantified by Cohen's d effect size. To assess the potential for systematic biases in under-reporting, age- and sex-specific net under-reporting rates within each survey year were computed and the F-test was performed to evaluate differences between demographic subgroups. We modelled the effects of age and sex on the likelihood of ever hospitalisation through logistic regression to compare the odds ratios respectively derived from survey and administrative data. Results: The extent of net under-reporting was moderately large in all three years amounting to about one-third of all inpatient episodes. However, there did not appear to be significant systematic biases in the degree of under-reporting by age or sex on stratified analyses and logistic regression modelling. Conclusion: Under-reporting was substantial in Hong Kong's THS. Recall bias was likely most responsible for such reporting inaccuracies. A proper full-design record-check study should be carried out to confirm the present findings.