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Chen JY, Chao D, Wong SYS, Tse TYE, Wan EYF, Tsang JPY, Leung MKW, Ko W, Li YC, Chen C, Luk W, Dao MC, Wong M, Leung WM, Lam CLK. Morbidity patterns in primary care in Hong Kong: protocol for a practice-based morbidity survey (Preprint). JMIR Res Protoc 2022; 11:e37334. [PMID: 35731566 PMCID: PMC9260520 DOI: 10.2196/37334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 05/22/2022] [Accepted: 05/23/2022] [Indexed: 11/20/2022] Open
Abstract
Background Up-to-date and accurate information about the health problems encountered by primary care doctors is essential to understanding the morbidity pattern of the community to better inform health care policy and practice. Morbidity surveys of doctors allow documentation of actual consultations, reflecting the patient’s reason for seeking care as well as the doctor’s diagnostic interpretation of the illness and management approach. Such surveys are particularly critical in the absence of a centralized primary care electronic medical record database. Objective With the changing sociodemographic profile of the population and implementation of health care initiatives in the past 10 years, the aim of this study is to determine the morbidity and management patterns in Hong Kong primary care during a pandemic and compare the results with the last survey conducted in 2007-2008. Methods This will be a prospective, practice-based survey of Hong Kong primary care doctors. Participants will be recruited by convenience and targeted sampling from both public and private sectors. Participating doctors will record the health problems and corresponding management activities for consecutive patient encounters during one designated week in each season of the year. Coding of health problems will follow the International Classification of Primary Care, Second Edition. Descriptive statistics will be used to calculate the prevalence of health problems and diseases as well as the rates of management activities (referral, investigation, prescription, preventive care). Nonlinear mixed effects models will assess the differences between the private and public sectors as well as factors associated with morbidity and management patterns in primary care. Results The data collection will last from March 1, 2021, to August 31, 2022. As of April 2022, 176 doctor-weeks of data have been collected. Conclusions The results will provide information about the health of the community and inform the planning and allocation of health care resources. Trial Registration ClinicalTrials.gov NCT04736992; https://clinicaltrials.gov/ct2/show/NCT04736992 International Registered Report Identifier (IRRID) DERR1-10.2196/37334
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Affiliation(s)
- Julie Yun Chen
- Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - David Chao
- The Hong Kong College of Family Physicians, Hong Kong, China (Hong Kong)
- Department of Family Medicine & Primary Health Care, Kowloon East Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Samuel Yeung-Shan Wong
- Division of Family Medicine and Primary Healthcare, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Tsui Yee Emily Tse
- Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Eric Yuk Fai Wan
- Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Joyce Pui Yan Tsang
- Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Maria Kwan Wa Leung
- Department of Family Medicine & Primary Health Care, New Territories East Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Welchie Ko
- Department of Family Medicine & Primary Health Care, Hong Kong West Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Yim-Chu Li
- Department of Family Medicine & Primary Health Care, Kowloon Central Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Catherine Chen
- Department of Family Medicine & Primary Health Care, Kowloon Central Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Wan Luk
- Department of Family Medicine & Primary Health Care, Kowloon West Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Man-Chi Dao
- Department of Family Medicine & Primary Health Care, Kowloon West Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Michelle Wong
- Department of Family Medicine & Primary Health Care, Hong Kong East Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Wing Mun Leung
- Department of Family Medicine & Primary Health Care, Hong Kong East Cluster, Hospital Authority, Hong Kong, China (Hong Kong)
| | - Cindy Lo Kuen Lam
- Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China (Hong Kong)
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Fu SN, Dao MC, Wong CKH, Yu WC. SF-6D utility scores of smokers and ex-smokers with or without respiratory symptoms attending primary care clinics. Health Qual Life Outcomes 2019; 17:48. [PMID: 30876466 PMCID: PMC6419835 DOI: 10.1186/s12955-019-1115-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 02/27/2019] [Indexed: 11/10/2022] Open
Abstract
Introduction The aim of this paper is to find out generic preference-based Short-Form 6 Dimensions (SF-6D) utility scores of smokers and ex-smokers with varying cigarette exposure, with and without respiratory symptoms. Methods Seven hundred thirty one people aged ≥30 with a history of smoking who attended 5 public primary care clinics completed a cross-sectional survey using SF-6D utility score, Breathlessness, Cough, and Sputum Scale (BCSS©) and office spirometry. Results Most of the subjects were men (92.5%) in an older age group (mean age 62.2 ± 11.7 years). About half of them (48.3%) were current smokers while the other half (51.7%) were ex-smokers. More than half of them (54.2%) reported mild respiratory symptoms (mean BCSS score 0.95 ± 1.12). The most common symptoms were sputum (45.1%), followed by cough (34.2%) and breathlessness (6.0%). The SF-6D overall utility score was 0.850 ± 0.106. The subjects reported significantly lower SF-6D scores when they had breathlessness (0.752 ± 0.138; p = < 0.001), cough (0.836 ± 0.107; p = 0.007), sputum (0.838 ± 0.115; p = 0.004) or any of the above symptom (0.837 ± 0.113; p < 0.001). In both groups of current smokers and ex-smokers, there was no statistically significant difference in the scores among light, moderate or heavy smokers. In the Tobit regression model of factors affecting SF-6D utility score, subjects who reported more respiratory symptoms (i.e. higher BCSS©) had lower SF-6D scores (B = − 0.018 ± 0.007, p < 0.001), while men had higher SF-6D scores than women (B = 0.037 ± 0.031, p = 0.019). Subjects who attended middle or high school had higher SF-6D score than those attended the University or above. The presence of airflow obstruction was not associated with the score. Conclusions The study yielded SF-6D utility scores of smokers and ex-smokers with different reported cigarette exposure, which could be useful in future clinical studies and cost-effectiveness analysis.
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Affiliation(s)
- Sau-Nga Fu
- Department of Family Medicine & Primary Health Care, Kowloon West Cluster, Hospital Authority, Hong Kong Special Administration Region, China. .,Present Address: G/F, Ha Kwai Chung General Outpatient Department, 77 Lai Cho Road, Kwai Chung, N.T., Hong Kong Special Administration Region, China.
| | - Man-Chi Dao
- Department of Family Medicine & Primary Health Care, Kowloon West Cluster, Hospital Authority, Hong Kong Special Administration Region, China
| | - Carlos King-Ho Wong
- Department of Family Medicine & Primary Care, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administration Region, China
| | - Wai-Cho Yu
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administration Region, China
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Wong KS, Fu SN, Cheung KL, Dao MC, Sy WM. Effect of a financial incentive on the acceptance of a smoking cessation programme with service charge: a cluster-controlled trial. Hong Kong Med J 2018; 24:128-136. [PMID: 29622760 DOI: 10.12809/hkmj176960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Frontline health care professionals in Hong Kong may encounter high refusal rates for the Hospital Authority's Smoking Counselling and Cessation Programme (SCCP) when smokers know it is subject to a service charge. We compared SCCP booking and attendance rates among smokers with or without a financial incentive. METHODS In this multicentre non-randomised cluster-controlled trial, adult smokers who attended one of six general out-patient clinics between November 2015 and April 2016 were invited to join an SCCP. Attendees in the three intervention-group centres but not the three control-group centres received a supermarket coupon to offset the service charge. RESULTS A total of 173 smokers aged 18 years or older (92 in the intervention group and 81 in the control group) were recruited into the study. In the intervention group, 47 smokers (51%) agreed via a questionnaire that they would join the SCCP, compared with only 23 smokers in the control group (28%). The booking rates were 83% (n=39) in the intervention group and 83% (n=19) in the control group. Among those who had booked a place, 19 (49%) intervention-group participants and 11 (58%) control-group participants attended an SCCP session. Multivariable logistic regression revealed that offering a coupon was associated with agreeing to join an SCCP (odds ratio=4.963, 95% confidence interval=2.173-11.334; P<0.001) and booking an SCCP place (odds ratio=4.244, 95% confidence interval=1.838-9.799; P<0.001). CONCLUSION Provision of a financial incentive was positively associated with agreement to join an SCCP and booking an SCCP place. Budget holders should consider providing the SCCP free of charge to increase smokers' access to the service.
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Affiliation(s)
- K S Wong
- Family Medicine and General Out-patient Clinics, Kowloon Central Cluster, Hospital Authority, Hong Kong
| | - S N Fu
- Family Medicine & Primary Health Care, Kowloon West Cluster, Hospital Authority, Hong Kong
| | - K L Cheung
- Family Medicine & Primary Health Care, Kowloon West Cluster, Hospital Authority, Hong Kong
| | - M C Dao
- Family Medicine & Primary Health Care, Kowloon West Cluster, Hospital Authority, Hong Kong
| | - W M Sy
- Family Medicine & Primary Health Care, Kowloon West Cluster, Hospital Authority, Hong Kong
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Kayser BD, Lhomme M, Dao MC, Ichou F, Bouillot JL, Prifti E, Kontush A, Chevallier JM, Aron-Wisnewsky J, Dugail I, Clément K. Serum lipidomics reveals early differential effects of gastric bypass compared with banding on phospholipids and sphingolipids independent of differences in weight loss. Int J Obes (Lond) 2017; 41:917-925. [PMID: 28280270 DOI: 10.1038/ijo.2017.63] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 02/21/2017] [Accepted: 02/26/2017] [Indexed: 02/08/2023]
Abstract
BACKGROUND/OBJECTIVES Circulating phospholipids and sphingolipids are implicated in obesity-related comorbidities such as insulin resistance and cardiovascular disease. How bariatric surgery affects these important lipid markers is poorly understood. We sought to determine whether Roux-en-Y gastric bypass (RYGB), which is associated with greater metabolic improvement, differentially affects the phosphosphingolipidome compared with adjustable gastric banding (AGB). SUBJECTS/METHODS Fasting sera were available from 59 obese women (body mass index range 37-51 kg m-2; n=37 RYGB and 22 AGB) before surgery, then at 1 (21 RYGB, 12 AGB) and 3 months follow-up (19 RYGB, 12 AGB). HPLC-MS/MS was used to quantify 131 lipids from nine structural classes. DXA measurements and laboratory parameters were also obtained. The associations between lipids and clinical measurements were studied with P-values adjusted for the false discovery rate (FDR). RESULTS Both surgical procedures rapidly induced weight loss and improved clinical profiles, with RYGB producing better improvements in fat mass, and serum total cholesterol, low-density lipoprotein-cholesterol (LDL-C) and orosomucoid (FDR <10%). Ninety-three (of 131) lipids were altered by surgery-the majority decreasing-with 29 lipids differentially affected by RYGB during the study period. The differential effect of the surgeries remained statistically significant for 20 of these lipids after adjusting for differences in weight loss between surgery types. The RYGB signature consisted of phosphatidylcholine species not exceeding 36 carbons, and ceramides and sphingomyelins containing C22 to C25 fatty acids. RYGB also led to a sustained increase in unsaturated ceramide and sphingomyelin species. The RYGB-specific lipid changes were associated with decreases in body weight, total and LDL-C, orosomucoid and increased HOMA-S (FDR <10%). CONCLUSIONS Concomitant with greater metabolic improvement, RYGB induced early and sustained changes in phosphatidylcholines, sphingomyelins and ceramides that were independent of greater weight loss. These data suggest that RYGB may specifically alter sphingolipid metabolism, which, in part, could explain the better metabolic outcomes of this surgical procedure.
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Affiliation(s)
- B D Kayser
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.,Nutriomics Team, INSERM, UMR S U1166, Paris, France.,Nutriomics Team, Sorbonne Universités, UPMC University Paris 06, UMR_S 1166, Paris, France
| | - M Lhomme
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France
| | - M C Dao
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.,Nutriomics Team, INSERM, UMR S U1166, Paris, France.,Nutriomics Team, Sorbonne Universités, UPMC University Paris 06, UMR_S 1166, Paris, France
| | - F Ichou
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France
| | - J-L Bouillot
- Visceral Surgery Department, Assistance Publique-Hôpitaux de Paris, Ambroise Paré, Paris, France
| | - E Prifti
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France
| | - A Kontush
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.,Dyslipidemia, Inflammation, and Atherosclerosis Team, INSERM, UMR_S U1166, Paris, France.,Dyslipidemia, Inflammation, and Atherosclerosis Team, Sorbonne Universités, UPMC Université Paris 06, UMR_S 1166, Institute of Cardiometabolism and Nutrition, Paris, France
| | - J-M Chevallier
- Visceral Surgery Department, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges-Pompidou, Paris, France
| | - J Aron-Wisnewsky
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.,Nutriomics Team, INSERM, UMR S U1166, Paris, France.,Nutriomics Team, Sorbonne Universités, UPMC University Paris 06, UMR_S 1166, Paris, France
| | - I Dugail
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.,Nutriomics Team, INSERM, UMR S U1166, Paris, France.,Nutriomics Team, Sorbonne Universités, UPMC University Paris 06, UMR_S 1166, Paris, France
| | - K Clément
- Nutriomics Team, Institute of Cardiometabolism and Nutrition, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.,Nutriomics Team, INSERM, UMR S U1166, Paris, France.,Nutriomics Team, Sorbonne Universités, UPMC University Paris 06, UMR_S 1166, Paris, France
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