BackgroundChina, like other countries, is facing a growing burden of chronic disease but the prevalence of multimorbidity and implications for the healthcare system have been little researched. We examined the epidemiology of multimorbidity in southern China in a large representative sample. The effects of multimorbidity and other factors on usual source of healthcare were also examined.MethodsWe conducted a large cross-sectional survey among approximately 5% (N = 162,464) of the resident population in three prefectures in Guangdong province, southern China in 2011. A multistage, stratified random sampling was adopted. The study population had many similar characteristics to the national census population. Interviewer-administered questionnaires were used to collect self-report data on demographics, socio-economics, lifestyles, healthcare use, and health characteristics from paper-based medical reports.ResultsMore than one in ten of the total study population (11.1%, 95% confidence interval (CI) 10.6 to 11.6) had two or more chronic conditions from a selection of 40 morbidities. The prevalence of multimorbidity increased with age (adjusted odds ratio (aOR) = 1.36, 95% CI 1.35 to 1.38 per five years). Female gender (aOR = 1.70, 95% CI 1.64 to 1.76), low education (aOR = 1.26, 95% CI 1.23 to 1.29), lack of medical insurance (aOR = 1.79, 95% CI 1.71 to 1.89), and unhealthy lifestyle behaviours were independent predictors of multimorbidity. Multimorbidity was associated with the regular use of secondary outpatient care in preference to primary care.ConclusionsMultimorbidity is now common in China. The reported preferential use of secondary care over primary care by patients with multimorbidity has many major implications. There is an urgent need to further develop a strong and equitable primary care system.Electronic supplementary materialThe online version of this article (doi:10.1186/s12916-014-0188-0) contains supplementary material, which is available to authorized users.

Improving integration in care requires many components. However, local barriers and facilitators need to be considered. Changes are expected to occur slowly and are more likely to be successful where elements of integrated care are well incorporated into local settings.

BackgroundThe 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.MethodsOne thousand adults in Hong Kong aged 18 and above were interviewed by a telephone survey. The modified Chinese translated Primary Care Assessment Tool was used to collect data on respondents' primary care experience.ResultsOur results indicated that services provided by GOPC were more often used by female, older, poorer, chronically-ill and less educated population. GOPC participants were also more likely to have visited a specialist or used specialist services (69.7% vs. 52.0%; p < 0.001), although this difference in utilization of specialist services disappeared after adjusting for age (55.7% vs. 52.0%, p = 0.198). Analyses were also performed to asses the relationship between healthcare settings (GOPCs versus private GPs) and primary care quality. Private GP patients achieved higher overall PCAT scores largely due to better accessibility (Mean: 6.88 vs. 8.41, p < 0.001) and person-focused care (Mean: 8.37 vs. 11.69, p < 0.001).ConclusionsOur results showed that patients primarily receiving care from private GPs in Hong Kong reported better primary care experiences than those primarily receiving care from GOPCs. This was largely due to the greater accessibility and better interpersonal relationships offered by the private GPs. As most patients use both GOPCs and private GPs, their overall primary care experiences may not be as different as the findings of this study imply.

PURPOSE Current health care reforms in China have an overall goal of strengthening primary care through the establishment and expansion of primary care networks based on community health centers (CHCs). Implementation in urban areas has led to the emergence of different models of ownership and management. The objective of this study was to evaluate the primary care experiences of patients in the Pearl River Delta as measured by the Primary Care Assessment Tool (PCAT) and the relationships with ownership and management in the 3 different models we describe.METHODS This cross-sectional study was conducted on-site at CHCs in 3 cities within the Pearl River Delta, China, using a multistage cluster sampling method. A validated Mandarin Chinese version of the PCAT-Adult Edition (short version) was adopted to collect information from adult patients regarding their experiences with primary care sources. PCAT scores for individual primary care attributes and total primary care assessment scores were assessed with respect to sociodemographic characteristics, health characteristics, and health care service utilization across 3 primary care models. RESULTSOne thousand four hundred forty (1,440) primary care patients responded to the survey, for an overall response rate of 86.1%. Respondents gave government-owned and -managed CHCs the highest overall PCAT scores when compared with CHCs either managed by hospitals (95.18 vs 90.81; P = .005) or owned by private and social entities (95.18 vs 90.69; P = .007) as a result of better first-contact care (better first-contact utilization) and coordination of care (better service coordination and information system). Factors that were positively and significantly associated with higher overall assessment scores included the presence of a chronic condition (P <.001), having medical insurance (P = .006), and a self-reported good health status (P <.001).CONCLUSIONS This study suggests that government-owned and -managed CHCs may be able to provide better first-contact care in terms of utilization and coordination of care, and may be better at solving the problem of underutilization of the CHCs as the first-contact point of care, one key problem facing the reforms in China.

Associations of multimorbidity and income with hospital admission were investigated in population samples from 3 widely differing health care systems: Scotland (n = 36,921), China (n = 162,464), and Hong Kong (n = 29,187). Multimorbidity increased odds of admissions in all 3 settings. In Scotland, poorer people were more likely to be admitted (adjusted odds ratio [aOR] = 1.62; 95% CI, 1.41-1.86 for the lowest income group vs the highest), whereas China showed the opposite (aOR = 0.58; 95% CI, 0.56-0.60). In Hong Kong, poorer people were more likely to be admitted to public hospitals (aOR = 1.68; 95% CI, 1.36-2.07), but less likely to be admitted to private ones (aOR = 0.18; 95% CI, 0.13-0.25). Strategies to improve equitable health care should consider the impact of socioeconomic deprivation on the use of health care resources, particularly among populations with prevalent multimorbidity. 2015;13:164-167. doi: 10.1370/afm.1757. Ann Fam Med INTRODUCTIONM ultimorbidity, the coexistence of 2 or more chronic conditions within an individual, is increasingly common 1,2 and leads to more hospital admissions, especially in patients having lower socioeconomic status.3 Most studies on multimorbidity have been conducted in developed countries in the West, however 4 ; how admission rates are influenced by socioeconomic status under differently organized and funded health care systems in eastern or transitioning countries is unknown.Scotland, a western country, has a well-established public health care system providing universal coverage. Work there has shown a clear link between low socioeconomic status, multimorbidity, and admission rates. China, the largest country in the world in transition, does not provide universal health coverage. Social medical insurance offers a limited benefits package, and most health care remains based on fee-for-service charges and patients' private out-of-pocket payment.5 Hong Kong, however, has maintained a public health care sector, funded mainly by taxes and providing the majority of secondary care, while the sizeable private health care sector, funded on a fee-for-service basis underpinned by direct out-ofpocket expenditure, provides the majority of primary care. We thus aimed to examine the relationships of multimorbidity and income with hospital admission in representative samples from these 3 countries. METHODSWe undertook a cross-sectional comparative study from large, representative population-based surveys using multistage stratified random sampling in Scotland, 6 China, 2 and Hong Kong. 165(n = 36,921) of the population with response rates ranging from 67% to 81%. 6 The study sample in China included 4.55% (n = 162,464) of the general resident population in 3 representative prefectures (with health care and population characteristics comparable to national average) 2 in Guangdong province. The household replacement rate was 9.91%, and 14.46% of questionnaires were answered by householders on behalf of household members.2 Data in Hong Kong came from the 2011 Thematic Househo...

IntroductionMultimorbidity has been well researched in terms of consequences and healthcare implications. Nevertheless, its risk factors and determinants, especially in the Asian context, remain understudied. We tested the hypothesis of a negative relationship between socioeconomic status and multimorbidity, with contextually different patterns from those observed in the West.MethodsWe conducted our study in the general Hong Kong (HK) population. Data on current health conditions, health behaviours, socio-demographic and socioeconomic characteristics was obtained from HK Government’s Thematic Household Survey. 25,780 individuals aged 15 or above were sampled. Binary logistic and negative binomial regression analyses were conducted to identify risk factors for presence of multimorbidity and number of chronic conditions, respectively. Sub-analysis of possible mediation effect through financial burden borne by private housing residents on multimorbidity was also conducted.ResultsUnadjusted and adjusted models showed that being female, being 25 years or above, having an education level of primary schooling or below, having less than HK$15,000 monthly household income, being jobless or retired, and being past daily smoker were significant risk factors for the presence of multimorbidity and increased number of chronic diseases. Living in private housing was significantly associated with higher chance of multimorbidity and increased number of chronic diseases only after adjustments.ConclusionsLess advantaged people tend to have higher risks of multimorbidity and utilize healthcare from the public sector with poorer primary healthcare experience. Moreover, middle-class people who are not eligible for government subsidized public housing may be of higher risk of multimorbidity due to psychosocial stress from paying for the severely unaffordable private housing.

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Background Burnout causes personal suffering and adverse professional consequences. It is prevalent among medical students, although the relationship between burnout and lifestyle factors are understudied in Chinese medical students. Thus, this study aims to (i) estimate the prevalence of burnout among medical students in Hong Kong (HK) and (ii) delineate the relationship between burnout and various lifestyle factors. Method 1,341 students were invited to complete a questionnaire from September to December 2017. Burnout was measured by the Maslach Burnout Inventory. Lifestyle factors including drinking habit, sleep habit and quality, and exercise level were assessed by validated instruments, including Alcohol Use Disorder Identification Test (AUDIT-C), Pittsburgh Sleep Quality Index (PSQI), and Godin-Shephard Leisure-Time Physical Activity (GSLTPA), respectively. Smoking status and use of self-medications were also inquired into, while demographic data was self-reported. Prevalence of burnout with confidence intervals was calculated. Difference in lifestyle and demographic data in students with or without burnout, were compared by t-test and Chi-square/Fisher's exact test. From this, all associations with significant p-value at p<0.1 were entered into the multiple logistic regression model. Results 731 students (55.6%) responded to the questionnaire. Prevalence of burnout was 27.9% (95%CI: 24.6%-31.5%). Only 3 students in the whole sample smoked; and 6.6% of students drank weekly but rarely drank more than 2 drinks per week. 6.3% and 2.3% self-medicated themselves with medications to improve their sleep and concentration, respectively. Using a multiple logistic regression model, only sleep quality and exercise level were significantly associated with the presence of burnout.