Relationship between socioeconomic status and cognitive ability among Chinese older adults: the moderating role of social support.

BACKGROUND: Understanding the causes and pathways of cognitive decline among older populations is of great importance in China. This study aims to examine whether the discrepancy in socioeconomic status (SES) makes a difference to the cognitive ability among Chinese older adults, and to disentangle the moderating role of different types of social support in the process in which SES influences cognition. METHODS: We utilized a nationally representative sample from the 2018 Chinese Longitudinal Healthy Longevity Survey. A cumulative SES score was constructed to measure the combined effect of different socioeconomic statuses on the cognitive ability of the elderly. We further examined the moderating role of two types of social support, including emotional support, and financial support. Hierarchical regression analysis was applied to test the direct effect of SES on cognitive ability, and to investigate the moderating role of social support on the association of the SES with the dependent variables. RESULTS: The results showed that the higher SES of older adults was significantly associated with better cognitive ability (ß = 0.52, p < 0.001) after controlling for age, sex, marital status, living region, Hukou, health insurance, lifestyle factors, and physical health status. Emotional support and financial support were moderated the relationship between SES score and cognitive ability. CONCLUSION: Our results reveal the importance of considering social support in buffering the effects of SES and the associated cognitive ability for aging populations. It highlights the importance of narrowing the socioeconomic gap among the elderly. Policymakers should consider promoting social support to improve the cognitive ability among older adults.

Genetic modification effects of physical frailty on the morbidity of mental disorders in the UK Biobank.

Objectives: Depression and anxiety are two major categories of mental disorders that are highly prevalent in the general population. This study aims to explore the genetic modification effects of physical frailty on the morbidity of mental disorders.Methods: Using data from UK Biobank, we calculate genetic risk scores for depression, anxiety and mental disorders based on 37/44 single-nucleotide polymorphisms (SNPs) of Major Depressive Disorder (MDD) and 9/10 SNPs of anxiety. Frailty status was defined by a modified version of the frailty phenotype based on five individual components. Cox proportional hazard models were used to estimate the hazard ratio (HR) and 95% confidence interval (CI) of depression and anxiety risk among groups with different frailty status.Results: Of 267,755 participants in UK Biobank, 4,905 (2%) were considered frail, 98,907 (37%) pre-frail and 163,943 (61%) not frail. Compared with the non-frail group, the pre-frail group (HR = 1.53; [95% CI:1.47-1.61]), and frail group (HR = 2.75; [95% CI:2.46-3.07]) were significantly associated with increased risk of depression. Per 1-number increment in frailty component counts were significantly associated with increased risk of mental disorders. In each genetic risk score (GRS) strata, people with pre-frailty and frailty suffered higher risks of mental disorders than the non-frail group.Conclusion: Our results indicate that physical frailty plays an important role in the incidence of mental disorders, even after adjustments for covariates, and patients with genetic individual differences are also affected. Therefore, it is crucial that while diagnosing mental disorders, professionals pay closer attention to those patients who present symptoms of frailty.

DNA Nanomachines for Identifying Cancer Biomarkers in Body Fluids and Cells.

Identifying molecular biomarkers promises to significantly improve the accuracy in cancer diagnosis at its early stage. DNA nanomachines, which are designable and switchable nanostructures made of DNA, show broad potential to detect tumor biomarkers with noninvasive, inexpensive, highly sensitive, and highly specific advantages. This Feature summarizes the recent DNA nanomachine-based platforms for the early detection of cancer biomarkers, both from body fluids and in cells.

The convergence of racial and income disparities in health insurance coverage in the United States.

OBJECTIVE: This study applied the vulnerability framework and examined the combined effect of race and income on health insurance coverage in the US. DATA SOURCE: The household component of the US Medical Expenditure Panel Survey (MEPS-HC) of 2017 was used for the study. STUDY DESIGN: Logistic regression models were used to estimate the associations between insurance coverage status and vulnerability measure, comparing insured with uninsured or insured for part of the year, insured for part of the year only, and uninsured only, respectively. DATA COLLECTION/EXTRACTION METHODS: We constructed a vulnerability measure that reflects the convergence of predisposing (race/ethnicity), enabling (income), and need (self-perceived health status) attributes of risk. PRINCIPAL FINDINGS: While income was a significant predictor of health insurance coverage (a difference of 6.1-7.2% between high- and low-income Americans), race/ethnicity was independently associated with lack of insurance. The combined effect of income and race on insurance coverage was devastating as low-income minorities with bad health had 68% less odds of being insured than high-income Whites with good health. CONCLUSION: Results of the study could assist policymakers in targeting limited resources on subpopulations likely most in need of assistance for insurance coverage. Policymakers should target insurance coverage for the most vulnerable subpopulation, i.e., those who have low income and poor health as well as are racial/ethnic minorities.

Cancer screening among racial/ethnic groups in health centers.

BACKGROUND: Underserved and low-income population are placed at a disadvantage for receiving necessary cancer screenings. This study aims to measure the rates of receiving three types of cancer screening services, Pap test, mammogram and colorectal cancer screening, among patients seen at U.S. health centers (HCs) to investigate if cancer screening among patients varies by race/ethnicity. METHODS: We analyzed data from the 2014 U.S. Health Center Patient Survey, and included samples age 21 and above. We examined three cancer screening indicators as our dependent variables including cervical, breast, and colorectal cancer screening. Logistic regressions were used to assess the racial/ethnic disparities on cancer screening, while controlling for potentially confounding factors. RESULTS: The rates of receiving three types of cancer screening were comparable and even higher among HC patients than those for the U.S. general population. Both bivariate and multivariate results showed there were racial/ethnic differences in the likelihood of receiving cancer screening services. However, the differences did not favor non-Hispanic Whites. African Americans had higher odds than Whites (OR: 1.92, 95% CI: 1.44-2.55, p < 0.001) of receiving Pap tests. Similar results were also found in measures of the receipt of mammogram (OR = 1.96, 95% CI: 1.46-2.64, P < 0.001) and colorectal cancer screening (OR = 1.28, 95% CI: 1.02-1.60, p < 0.05). CONCLUSION: The current study presents U.S. nationally representative estimates and imply that HCs are helping fulfill an important role as a health care safety-net in reducing racial/ethnic disparities in the delivery of cancer screening services.

The patient-centered oncology care on health care utilization and cost: A systematic review and meta-analysis.

BACKGROUND: Optimal cancer care entails coordination among multiple providers and continued follow-up and surveillance over time. The patient-centered care brings opportunities to improve the delivery of cancer care. The adoption of patient-centered oncology care (PCOC) is in its infancy. Evidence synthesis on the model's effectiveness is scant. PURPOSES: This is the first systemic review and meta-analysis on associations of PCOC with cancer patients' adverse health care utilization, cost, patient satisfaction, and quality of care. METHODS: Our study was guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) framework. Quality appraisal was performed using Downs and Black's quality checklist. Study-level effect sizes of adverse health care utilization were computed using Cohen's d and summarized using forest plots. Funnel plots were constructed to examine publication bias. RESULTS: Of 334 studies that were reviewed, 10 met eligibility criteria and were included into the final analysis. Many included studies implemented almost all six of patient-centered care core attributes, plus three additional attributes that specifically addressed cancer patients' needs, including triage pathways, standardized and evidence-based symptom management, as well as support patient navigation. PCOC patients had lower utilization of inpatient care (standardized means difference [SMD] = -0.027, p = .049). Overall positive effect of PCOC on emergency department use was small and not significant (SMD = -0.023, p = .103). With regard to cost and quality of care, our narrative summaries showed an overall positive direction, though we found limitations in individual study quality that precluded a meta-analysis. PUBLIC IMPLICATION: The results showed that it is possible to utilize patient-centered model to support best practice of cancer care. Early evidence shows that the PCOC model has potential to improve health care utilization, cost, and quality of care, but limited numbers of included articles and heterogeneity of those studies implied that more rigorous research is expected to further investigate the model's effects.

Data mining-based model and risk prediction of colorectal cancer by using secondary health data: A systematic review.

OBJECTIVE: Prevention and early detection of colorectal cancer (CRC) can increase the chances of successful treatment and reduce burden. Various data mining technologies have been utilized to strengthen the early detection of CRC in primary care. Evidence synthesis on the model's effectiveness is scant. This systematic review synthesizes studies that examine the effect of data mining on improving risk prediction of CRC. METHODS: The PRISMA framework guided the conduct of this study. We obtained papers via PubMed, Cochrane Library, EMBASE and Google Scholar. Quality appraisal was performed using Downs and Black's quality checklist. To evaluate the performance of included models, the values of specificity and sensitivity were comparted, the values of area under the curve (AUC) were plotted, and the median of overall AUC of included studies was computed. RESULTS: A total of 316 studies were reviewed for full text. Seven articles were included. Included studies implement techniques including artificial neural networks, Bayesian networks and decision trees. Six articles reported the overall model accuracy. Overall, the median AUC is 0.8243 [interquartile range (IQR): 0.8050-0.8886]. In the two articles that reported comparison results with traditional models, the data mining method performed better than the traditional models, with the best AUC improvement of 10.7%. CONCLUSIONS: The adoption of data mining technologies for CRC detection is at an early stage. Limited numbers of included articles and heterogeneity of those studies implied that more rigorous research is expected to further investigate the techniques' effects.

Cytokines are associated with longitudinal changes in cognitive performance among urban adults.

BACKGROUND: Chronic systemic inflammation has been positively associated with structural and functional brain changes representing early markers of Alzheimer's Disease (AD) and cognitive decline. The current study examined associations between systemic inflammation and cognitive performance among African-Americans and Whites urban adults. METHODS: Participants were selected from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (2004-2013, baseline age: 30-64 y, mean ±â€¯SD follow-up time of 4.64 ±â€¯0.93 y, N = 189-222, k = 1.5-1.7 observations/participant). Cytokines known to be positively linked to AD incidence among others were tested against cross-sectional and longitudinal cognitive function, stratifying by age group (≤50 y vs. >50 y), sex and race. A series of mixed-effects regression models were conducted, adjusting for key confounders. RESULTS: Among key findings, IL1ß was positively associated with a faster rate of decline on a test of executive functioning, among older adults (age >50 y, γ11 = +2.49 ±â€¯0.89, p = 0.005), while in the total population, IL-6 was linked to a faster decline on a test of verbal memory (γ11 = -0.011 ±â€¯0.004, p = 0.009). Among younger participants, IL-18 was linked to a poorer performance on a test of attention at baseline (age ≤50 y, γ01 = -0.007 ±â€¯0.0025, p = 0.004) though a slower rate of decline with higher IL-18 was detected for a test of psychomotor speed in older adults (age >50 y, γ11 = +0.0010 ±â€¯0.0004, p = 0.008). Finally, among Whites, unlike among African-Americans, IL-6 was associated with a better baseline performance on two tests of verbal and working memory. CONCLUSIONS: Cytokines were shown to be associated with age-related cognitive decline among middle-aged and older urban adults in an age group and race-specific manner. Further longitudinal studies are needed to replicate our findings and mediation through relevant biological and psychosocial factors need to be studied as well.

Health care utilization and affordability among older people following China's 2009 health reform -- evidence from CHARLS pilot study.

BACKGROUND: In 2009, China unveiled an ambitious national health care reform program, with the goal of providing equitable and affordable basic health care for everyone. This study was intended to partially fill the knowledge gap in understanding of the demand-side impact on health care utilization and affordability among older people in Zhejiang and Gansu provinces of China. METHODS: We used two waves of data from the pilot survey of CHARLS implemented in 2008 and 2012. Chi-square tests and t tests were performed to examine whether out-of-pocket (OOP) and pharmaceutical spending (PS), as a share of total health expenditures (THEs), have significantly changed following the health reform. Two-part model was employed to confirm these changes after controlling for confounding variables. All analyses were weighted and clustered the standard errors. RESULTS: After controlling for confounding variables, older people in 2012 were 2.1 and 6.8% more likely to use outpatient and inpatient care than they did in 2008, respectively. Among those who have at least one outpatient visit, declines of OOP-to- THEs and PS-to-THEs percentage significantly reduced 0.998 (p < 0.1) and 2.324 (p < 0.01) from 2008 to 2012, respectively. However, conditional on having at least one inpatient stay, no significant reduction in terms of the OOP-to-THEs and even increase in terms of the PS-to-THEs percentage observed between 2008 and 2012. Compared to elderly people in Gansu, Zhejiang aged people had obviously better utilization, lighter inpatient OOP burden and lower inpatient PS proportion, but higher outpatient OOP burden and PS proportion. CONCLUSIONS: Although the OOP burden and PS portion had been reduced following the health reform, these impacts were still limited. Better results can be observed in outpatient care than in inpatient care, which provide a strong foundation for the next stage of reform.

The Association of Patient-centered Medical Home Designation With Quality of Care of HRSA-funded Health Centers: A Longitudinal Analysis of 2012-2015.

OBJECTIVES: (1) To evaluate the relationship between Patient-centered Medical Home (PCMH) recognition and quality of clinical care among health centers, and (2) to determine whether the duration of recognition is positively associated with cumulative quality improvement over time. METHODS: Data came from the 2012 to 2015 Uniform Data System, health centers' PCMH recognition status, and the Area Resource File. Health center was the unit of observation. The outcome variables included 11 measures of clinical quality. We pooled all years of data and modeled longitudinal data with generalized estimating equations to examine the degree of improvement in health care quality in health centers with and without PCMH recognition over the years 2012-2015. RESULTS: Health centers with PCMH recognition generally performed better on clinical quality measures than health centers that did not have PCMH recognition for all years studied. After accounting for health center and county-level potential confounders, health centers with longer periods of PCMH recognition were more likely to have improved their clinical quality on 9 of 11 measures, than health centers with fewer years of PCMH recognition. CONCLUSIONS: Health centers' length of time with PCMH recognition was positively associated with additive quality improvement. Adoption of the PCMH model of care may serve as a strategy to enhance quality of primary care services.

Urban-rural disparities in health care utilization among Chinese adults from 1993 to 2011.

BACKGROUND: Despite economic growth and improved health outcomes over the past few decades, China still experiences striking urban-rural health inequalities. Urban and rural residents distinguished by the hukou system may experience profound disparities because of institutional effect. The aim of this study is to estimate trends in urban-rural disparities in self-care, outpatient care, and inpatient care utilization from a perspective of the hukou system. METHODS: Data were extracted from the seven latest waves of the China Health and Nutrition Survey (CHNS). We used the hukou system to distinguish between urban and rural residents. Chi-square tests were performed to examine urban-rural gaps in self-care, outpatient care, and inpatient care utilization. Multinomial logistic regression was employed to confirm these disparities and to explore whether the urban-rural gaps have narrowed or widened from 1993 to 2011 once known determinants of utilization are taken into account according to Andersen/Aday's Health Behaviour Model. RESULTS: The urban-rural disparities were evident after controlling for confounding variables: urban adults were 3.24 (p < 0.05), 2.23 (p < 0.1), and 4.77 (p < 0.01) times more likely to choose self-care vs. no care, outpatient care vs. no care, and inpatient care vs. no care than their rural counterparts, respectively. The results showed upward trends in self-care, outpatient care, and inpatient care utilization from 2004 to 2011. The urban-rural gaps in health care utilization gradually narrowed during the period of 1993-2011. The hukou distinctions of self-care, outpatient care, and inpatient care in 2011 were only 33.3%, 35.5%, and 9.6% of that in 1993, respectively. CONCLUSIONS: Although rural residents were underutilizing health care when compared to their urban counterparts, the significant decrements in urban-rural disparities reflect the positive effect of the on-going health system reform in China. To maintain an equitable distribution of health care utilization, policy makers need to be aware of challenges due to aging problems and health expenditure increment.

One Outcome, Many Trends: Understanding National Data Sources for Road Traffic Fatalities in China.

OBJECTIVES: To better understand national data sources and evaluate time trends in road traffic fatalities (RTF) in China. METHODS: We reviewed national sources on RTF data. These included population-based report from the Ministry of Public Security (MPS), sample-based estimates from the Ministry of Health (MOH) and the Disease Surveillance Points System (DSP), as well as model-based estimates from the World Health Organization (WHO), and the Global Burden of Disease Study (GBD). RESULTS: All data sources have limitations in coverage, representativeness or overreliance on model specifications. Despite the discrepancies in methodologies and estimates, all sources indicated an increase in RTF before 2005. Since then, MPS and GBD indicated a decrease, DSP showed plateauing, and MOH and WHO suggested increasing fatalities. However, despite any recent decline, RTF remain high. CONCLUSIONS: The divergent trends in RTF across data sets in China implies a challenge to understanding China's experience with addressing RTF. China needs to reconcile data sources and further improve road safety.

Insurance-related disparities in primary care quality among U.S. Type 2 diabetes patients.

BACKGROUND: This study explored insurance-related disparities in primary care quality among Americans with type 2 diabetes. METHODS: Data came from the household component of the 2012 Medical Expenditure Panel Survey (MEPS). Analysis focused on adult subjects with type 2 diabetes. Logistic regressions were performed to investigate the associations between insurance status and primary care attributes related to first contact, longitudinality, comprehensiveness, and coordination, while controlling for confounding factors. RESULTS: Preliminary findings revealed differences among three insurance groups in the first contact domain of primary care quality. After controlling for confounding factors, these differences were no longer apparent, with all insurance groups reporting similar primary care quality according to the four domains of interest in the study. There were significant differences in socioeconomic status among different insurance groups. CONCLUSION: This study reveals equitable primary care quality for diabetes patients despite their health insurance status. In addition to insurance-related differences, the other socioeconomic stratification factors are assumed to be the root cause of disparities in care. This research emphasizes the crucial role that primary care plays in the accessibility and quality of care for chronically ill patients. Policy makers should continue their commitment to reduce gaps in insurance coverage and improve access as well as quality of diabetic care.

Types of health care facilities and the quality of primary care: a study of characteristics and experiences of Chinese patients in Guangdong Province, China.

BACKGROUND: In China, most people tend to use hospitals rather than health centers for their primary care generally due to the perception that quality of care provided in the hospital setting is superior to that provided at the health centers. No studies have been conducted in China to compare the quality of primary care provided at different health care settings. The purpose of this study is to compare the quality of primary care provided in different types of health care facilities in China. METHODS: A cross-sectional survey with patients was conducted in Guangdong province of China, using the validated Chinese Primary Care Assessment Tool (PCAT). ANOVA was performed to compare the overall and 10 domains of primary care quality for patients in tertiary, secondary, and primary health care settings. Multivariate analyses were used to assess the association between types of facility and quality of primary care attributes while controlling for sociodemographic and health care characteristics. RESULTS: The final number of respondents was 864 including 161 from county hospitals, 190 from rural community health centers (CHCs), 164 from tertiary hospitals, 80 from secondary hospitals, and 269 from urban CHCs. Type of health care facilities was significantly associated with total PCAT score and domain scores. CHC was associated with higher total PCAT score and scores for first contact-access, ongoing care, comprehensiveness-services available, and community orientation than secondary and/or tertiary hospitals, after controlling for patients' demographic and health characteristics. Higher PCAT score was associated with greater satisfaction with primary care received. CHC patients were more likely to report satisfactory experiences compared to patients from secondary and tertiary facilities. CONCLUSIONS: The study demonstrated that CHCs provided better quality primary care when compared with secondary and tertiary health care facilities, justifying CHCs as a model of primary care delivery.

Patient satisfaction between primary care providers and hospitals: a cross-sectional survey in Jilin province, China.

OBJECTIVE: To assess patient satisfaction with outpatient and inpatient care between primary care providers and secondary/tertiary hospitals, and to examine its association with socio-demographic characteristics and type of institution, based on self-reported survey data. DESIGN: Cross-sectional survey. SETTING: Healthcare facilities within Jilin province, China. PARTICIPANTS: In total, 993 outpatients and 925 inpatients aged ≥15 years old were recruited. MAIN OUTCOME MEASURES: Patient satisfaction with the care experience. RESULTS: Patient satisfaction with outpatient and inpatient care was significantly associated with type of healthcare delivery setting in Jilin, China. Seeking outpatient care from community health centers (CHCs) was significantly associated with a higher ratio of patient satisfaction. Patients of county and tertiary hospitals complained about long-waiting times, bad attitudes of health workers, high expense of treatment, and their overall satisfaction towards outpatient care was lower. In the terms of inpatient care, patients were more satisfied with treatment expense in CHCs compared with county hospitals. CONCLUSIONS: CHCs and hospitals face different challenges regarding patient satisfaction. Further healthcare reform in China need to adopt more measures (e.g. increasing quality of primary care, setting up a referral medical system etc.) to improve patient satisfaction.

Racial/Ethnic Disparities in Primary Care Quality Among Type 2 Diabetes Patients, Medical Expenditure Panel Survey, 2012.

INTRODUCTION: Racial and ethnic disparities exist in diabetes prevalence, access to diabetes care, diabetes-related complications and mortality rates, and the quality of diabetes care among Americans. We explored racial and ethnic disparities in primary care quality among Americans with type 2 diabetes. METHODS: We analyzed data on adults with type 2 diabetes derived from the household component of the 2012 Medical Expenditure Panel Survey. Multiple regression and multivariate logistic regressions were used to examine the association between race/ethnicity and primary care attributes related to first contact, longitudinality, comprehensiveness, and coordination, and clusters of confounding factors were added sequentially. RESULTS: Preliminary findings indicated differences in primary care quality between racial/ethnic minorities and whites across measures of first contact, longitudinality, comprehensiveness, and coordination. After controlling for confounding factors, these differences were no longer apparent; all racial/ethnic categories showed similar rates of primary care quality according to the 4 primary care domains of interest in the study. CONCLUSION: Results indicate equitable primary care quality for type 2 diabetes patients across 4 key domains of primary care after controlling for socioeconomic characteristics. Additional research is necessary to support these findings, particularly when considering smaller racial/ethnic groups and investigating outcomes related to diabetes.

Integrated care delivery and health care seeking by chronically-ill patients - a case-control study of rural Henan province, China.

OBJECTIVE: This study examined the impact of an Integrated Care Delivery intervention on health care seeking and outcomes for chronically-ill patients in Henan province, China. METHODS: A case-control study was carried out in six health care organizations from two counties in Henan province, China. 371 patients aged 50 years or over with hypertension or diabetes who visited either community health centers or hospitals in the Intervention or Control Counties were systematically selected and surveyed on health care seeking behavior, quality of care, and pathway of care for their major chronic condition. Bivariate analyses were performed to compare quality and value of care indicators between patients from the Intervention and Control Counties. Multivariate analyses were used to confirm these associations after controlling for patients' demographic and health characteristics. RESULTS: Patients in both the Intervention and Control Counties chose their current health care providers primarily out of concern for quality of care (provider expertise and adequate medical equipment) and patient-centered care. Compared with the patients from the Control County, those from the Intervention County performed significantly better on almost all the quality and value of care indicators even after controlling for patients' demographic and health characteristics. Significant associations between types of health care facilities and quality as well as value of care were also observed. CONCLUSION: The study showed that the Integrated Care Delivery Model was critical in guiding patients' health care seeking behavior and associated with improved accessibility, continuity, coordination and comprehensiveness of care, as well as reducing health inequities and mitigating disparities for older patients with chronic conditions.

Community health centers and primary care access and quality for chronically-ill patients - a case-comparison study of urban Guangdong Province, China.

OBJECTIVE: Reform of the health care system in urban areas of China has prompted concerns about the utilization of Community Health Centers (CHC). This study examined which of the dominant primary care delivery models, i.e., the public CHC model, the 'gate-keeper' CHC model, or the hospital-owned CHC models, was most effective in enhancing access to and quality of care for patients with chronic illness. METHODS: The case-comparison design was used to study nine health care organizations in Guangzhou, Dongguan, and Shenzhen cities within Guangdong province, China. 560 patients aged 50 or over with hypertension or diabetes who visited either CHCs or hospitals in these three cities were surveyed by using face-to-face interviews. Bivariate analyses were performed to compare quality and value of care indicators among subjects from the three cities. Multivariate analyses were used to assess the association between type of primary care delivery and quality as well as value of chronic care after controlling for patients' demographic and health status characteristics. RESULTS: Patients from all three cities chose their current health care providers primarily out of concern for quality of care (both provider expertise and adequate medical equipment), patient-centered care, and insurance plan requirement. Compared with patients from Guangzhou, those from Dongguan performed significantly better on most quality and value of care indicators. Most of these indicators remained significantly better even after controlling for patients' demographic and health status characteristics. The Shenzhen model (hospital-owned and -managed CHC) was generally effective in enhancing accessibility and continuity. However, coordination suffered due to seemingly duplicating primary care outpatients at the hospital setting. Significant associations between types of health care facilities and quality of care were also observed such that patients from CHCs were more likely to be satisfied with traveling time and follow-up care by their providers. CONCLUSION: The study suggested that the Dongguan model (based on insurance mandate and using family practice physicians as 'gate-keepers') seemed to work best in terms of improving access and quality for patients with chronic conditions. The study suggested adequately funded and well-organized primary care system can play a gatekeeping role and has the potential to provide a reasonable level of care to patients.

Family practice and the quality of primary care: a study of Chinese patients in Guangdong Province.

BACKGROUND: In 2009, China launched its new round of health care reform. One of its priorities was to strengthen primary care and establish a family practice system. OBJECTIVE: This study examined the relationship between use of family practice physician for primary care and the quality of primary care. METHODS: Eight health care organizations were sampled from three cities in Guangdong Province, China. One thousand six hundred and forty five patients of age 18 and older who visited one of the study sites as their usual source of primary care were systematically selected and surveyed using Johns Hopkins China-validated Primary Care Assessment Tool (PCAT). Analyses were performed to compare the quality of primary care experienced between patients who contracted for family practice services and those who did not. RESULTS: Total PCAT score as well as scores in first contact-access, continuity, comprehensiveness and coordination domains were higher among patients who contracted with family practice services, compared to those who did not. In addition, patients who sought care through family practice services reported greater satisfaction with their care experience. CONCLUSION: This study provided evidence that family practice has the potential to provide higher-quality primary care, which may encourage patients to seek family practice physicians for their primary care needs, and help family practitioners better perform gatekeeping functions.

Examining cancer screening disparities by race/ethnicity and insurance groups: A comparison of 2008 and 2018 National Health Interview Survey (NHIS) data in the United States.

BACKGROUND: Pervasive differences in cancer screening among race/ethnicity and insurance groups presents a challenge to achieving equitable healthcare access and health outcomes. However, the change in the magnitude of cancer screening disparities over time has not been thoroughly examined using recent public health survey data. METHODS: A retrospective cross-sectional analysis of the 2008 and 2018 National Health Interview Survey (NHIS) database focused on breast, cervical, and colorectal cancer screening rates among race/ethnicity and insurance groups. Multivariable logistic regression models were used to assess the relationship between cancer screening rates, race/ethnicity, and insurance coverage, and to quantify the changes in disparities in 2008 and 2018, adjusting for potential confounders. RESULTS: Colorectal cancer screening rates increased for all groups, but cervical and mammogram rates remained stagnant for specific groups. Non-Hispanic Asians continued to report consistently lower odds of receiving cervical tests (OR: 0.42, 95% CI: 0.32-0.55, p<0.001) and colorectal cancer screening (OR: 0.55, 95% CI: 0.42-0.72, p<0.001) compared to non-Hispanic Whites in 2018, despite significant improvements since 2008. Non-Hispanic Blacks continued to report higher odds of recent cervical cancer screening (OR: 1.98, 95% CI: 1.47-2.68, p<0.001) and mammograms (OR: 1.32, 95% CI: 1.02-1.71, p<0.05) than non-Hispanic Whites in 2018, consistent with higher odds observed in 2008. Hispanic individuals reported improved colorectal cancer screening over time, with no significant difference compared to non-Hispanics Whites in 2018, despite reporting lower odds in 2008. The uninsured status was associated with significantly lower odds of cancer screening than private insurance for all three cancers in 2008 and 2018. CONCLUSION: Despite an overall increase in breast and colorectal cancer screening rates between 2008 and 2018, persistent racial/ethnic and insurance disparities exist among race/ethnicity and insurance groups. These findings highlight the importance of addressing underlying factors contributing to disparities among underserved populations and developing corresponding interventions.