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Wang M, Li M, Dong X. The Associations Between Sociodemographic Characteristics and Trust in Physician With Immunization Service Use in U.S. Chinese Older Adults. Res Aging 2021; 44:164-173. [PMID: 33938299 DOI: 10.1177/01640275211011048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This study investigated sociodemographic factors for immunization care use and the relationship between trust in physician (TIP) and immunization service use in older Chinese Americans. Data were collected through the Population Study of Chinese Elderly, including survey information of 3,157 older adults in the Greater Chicago area. Regression results showed that the odds of getting vaccinated were higher for those who were older, female, and had higher education and income. After adjusting for the covariates, higher TIP was associated with greater immunization service use. The highest tertile of TIP was associated with higher odds of using immunization service (OR 2.19, 95% CI [1.76, 2.72]), especially for flu and pneumonia vaccines. Findings suggests that immunization service use may be increased by improving TIP and promoting targeted health care management plans for racial/ethnic minorities, which is highly relevant to increase the vaccination rate and contain the pandemic as the COVID-19 vaccine is available.
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Affiliation(s)
- Mengxiao Wang
- School of Public Administration, 12603Southwestern University of Finance and Economics, Chengdu, China
| | - Mengting Li
- Institute for Health, Health Care Policy and Aging Research, 242612Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.,School of Nursing, 242612Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - XinQi Dong
- Institute for Health, Health Care Policy and Aging Research, 242612Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
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Ruan B, Yu Z, Yang S, Xu K, Ren J, Yao J, Wu N, Yu C, Deng M, Xie T, Chen P, Wang C, Li Y, Zhao Y, Sheng J, Hou Y, Wu Z, Jin S, Chen Y, Li M, Zhu F, Tang H, Hao Y, Pang X, Lu L, Yang W, Yuan Z, Xu A, Li Z, Ni M, Yan Y, Zhong Q, Zhou L, Li G, Meng Q, Hu J, Zhou H, Zhang G, Li D, Jiang W, Li Q, Wu P, Xing R, Gu J, Gao D, Li L. Establishment and development of national community-based collaborative innovation demonstration areas to achieve the control target of hepatitis B in China. BMC Infect Dis 2019; 19:617. [PMID: 31299910 PMCID: PMC6626343 DOI: 10.1186/s12879-019-4150-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 05/31/2019] [Indexed: 01/25/2023] Open
Abstract
Background The major infectious diseases of hepatitis B has constituted an acute public health challenge in China. An effective and affordable HBV control model is urgently needed. A national project of Community-based Collaborative Innovation HBV (CCI-HBV) demonstration areas has optimized the existing community healthcare resources and obtained initial results in HBV control. Methods Based on the existing community healthcare network, CCI-HBV project combined the community health management and health contract signing service for long-staying residents in hepatitis B screening. Moreover, HBV field research strategy was popularized in CCI-HBV areas. After screening, patients with seropositive results were enrolled in corresponding cohorts and received treatment at an early stage. And the uninfected people received medical supports including health education through new media, behavior intervention and HBV vaccinations. In this process, a cloud-based National Information Platform (NIP) was established to collect and store residents’ epidemiological data. In addition, a special quality control team was set up for CCI project. Results After two rounds of screening, HBsAg positive rate dropped from 5.05% (with 5,173,003 people screened) to 4.57% (with 3,819,675 people screened), while the rate of new HBV infections was 0.28 per 100 person-years in the fixed cohorts of 2,584,322 people. The quality control team completed PPS sampling simultaneously and established the serum sample database with 2,800,000 serum samples for unified testing. Conclusions CCI-HBV project has established a large-scale field research to conduct whole-population screening and intervention. We analyzed the HBsAg prevalence and new infection rate of HBV in the fixed population for the epidemic trend and intervention effect. The purpose of CCI-HBV project is to establish and evaluate a practical model of grid management and field strategy, to realize the new goal to control hepatitis B in China. To provide policymakers with a feasible model, our results are directly applicable. Trial registration The project was funded by the Major Projects of Science Research for the 11th and 12th five-year plans of China, entitled “The prevention and control of AIDS, viral hepatitis and other major infectious diseases”, Grant Nos. 2009ZX10004901, 2011ZX10004901, 2013ZX10004904, 2014ZX10004007 and 2014ZX10004008.
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Affiliation(s)
- Bing Ruan
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Zhixin Yu
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Shigui Yang
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Kaijin Xu
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Jingjing Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Jun Yao
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Nanping Wu
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Chengbo Yu
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Min Deng
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Tiansheng Xie
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Ping Chen
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Chencheng Wang
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Yiping Li
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Yanhong Zhao
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Jifang Sheng
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Yunde Hou
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zunyou Wu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuigao Jin
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | | | - Fengcai Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | | | | | - Xinghuo Pang
- Beijing Center for Disease Control and Prevention, Beijing, China
| | - Lin Lu
- Yunnan Provincial Center for Disease Control and Prevention, Kunming, China
| | - Wen Yang
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Zhengan Yuan
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - Aiqiang Xu
- Shandong Provincial Center for Disease Control and Prevention, Jinan, China
| | - Zizhao Li
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Mingjian Ni
- Xinjiang Provincial Center for Disease Control and Prevention, Urumchi, China
| | - Yongping Yan
- The Forth Military Medical University, Xian, China
| | - Qiu Zhong
- The Center of Tuberculosis control of Guangdong Province, Guangzhou, China
| | - Lin Zhou
- The Center of Tuberculosis control of Guangdong Province, Guangzhou, China
| | - Guojian Li
- Guangxi Provincial Center for Disease Control and Prevention, Nanning, China
| | - Qun Meng
- National Statistical Information Center of China, Beijing, China
| | - Jianping Hu
- National Statistical Information Center of China, Beijing, China
| | - Hong Zhou
- National Statistical Information Center of China, Beijing, China
| | | | - Dexin Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Jiang
- The Digital Medical and Health Technology Research Institute of Zhejiang Province, Hangzhou, China
| | - Qing Li
- National Health and Family Planning Commission of China, Beijing, China
| | - Peixin Wu
- National Health and Family Planning Commission of China, Beijing, China
| | - Ruoqi Xing
- National Health and Family Planning Commission of China, Beijing, China
| | - Jinhui Gu
- National Health and Family Planning Commission of China, Beijing, China
| | - Di Gao
- National Health and Family Planning Commission of China, Beijing, China
| | - Lanjuan Li
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China.
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Huei-Yu Wang J, Ma GX, Liang W, Tan Y, Makambi KH, Dong R, Vernon SW, Tu SP, Mandelblatt JS. Physician Intervention and Chinese Americans' Colorectal Cancer Screening. Am J Health Behav 2018; 42:13-26. [PMID: 29320335 PMCID: PMC5765879 DOI: 10.5993/ajhb.42.1.2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We conducted a cluster-randomized trial evaluating an intervention that trained Chinese-American primary care physicians to increase their Chinese patients' colorectal cancer (CRC) screening. METHODS Twenty-five physicians (13 randomized to the intervention arm and 12 to the control arm) and 479 of their patients (aged 50-75 and nonadherent to CRC screening guidelines) were enrolled. The intervention, guided by Social Cognitive Theory, included a communication guide and 2 in-office training sessions to enhance physicians' efficacy in com- municating CRC screening with patients. Patients' CRC screening rates (trial outcome) and rating of physician communication before intervention and at 12-month follow-up were assessed. Intention-to-treat analysis for outcome evaluation was conducted. RESULTS Screening rates were slightly higher in the intervention vs. the control arm (24.4% vs. 17.7%, p = .24). In post hoc analyses, intervention arm patients who perceived better communication were more likely to be screened than those who did not (OR = 1.09, 95% CI: 1.03, 1.15). This relationship was not seen in the control arm. CONCLUSIONS This physician-focused intervention had small, non-significant effects in increasing Chinese patients' CRC screening rates. Physician communication appeared to explain intervention efficacy. More intensive interventions are needed to enhance Chinese patients' CRC screening.
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Affiliation(s)
- Judy Huei-Yu Wang
- Department of Oncology, and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - Grace X Ma
- Center for Asian Health, Lewis Katz School of Medicine, Philadelphia, PA, USA
| | - Wenchi Liang
- Center for Scientific Review, National Institutes of Health, Bethesda, MD, USA
| | - Yin Tan
- Center for Asian Health, Lewis Katz School of Medicine, Philadelphia, PA, USA
| | - Kepher H Makambi
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington DC, USA
| | - Roucheng Dong
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington DC, USA
| | - Sally W Vernon
- Center for Health Promotion and Prevention Research, University of Texas-Houston School of Public Health, Houston, TX, USA
| | - Shin-Ping Tu
- Division of General Internal Medicine, Geriatrics and Bioethics, University of California Davis, Sacramento, CA, USA
| | - Jeanne S Mandelblatt
- Department of Oncology, and Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
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Juon HS, Rimal RN, Klassen A, Lee S. Social Norm, Family Communication, and HBV Screening among Asian Americans. JOURNAL OF HEALTH COMMUNICATION 2017; 22:981-989. [PMID: 29173103 PMCID: PMC5809127 DOI: 10.1080/10810730.2017.1388454] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Individuals' behaviors are influenced by those of others in their social environment (i.e., descriptive norms), as well as by how individuals perceive they should behave in that environment (e.g., injunctive norms). Although social norms are thought to play an important role in hepatitis B virus (HBV) screening, limited theoretical or empirical guidance exists on how the underlying process works. In addition, norms are social phenomena that are spread through family discussion about the importance of getting HBV screening. Using the theory of normative social behavior (TNSB), this study examined the roles of injunctive norms (IN), descriptive norms (DN), and family discussion in HBV screening behavior among Asian Americans. Data from a survey of Asian Americans in the Baltimore Washington metropolitan area (N = 877) were used to test underlying theoretical propositions. DN and family discussion emerged as key factors in HBV screening behavior among all Asian Americans. IN were associated with HBV screening among Chinese and Korean Americans, but not for Vietnamese Americans. Family discussion moderated the influence of DN on behavior among Chinese and Vietnamese Americans. However, the main effect of DN on screening behavior was not modified by IN (no interactions between DN and IN). The results indicate that family discussion and social norms are integral in enabling Asian Americans to undergo HBV screening and warrant sensitivity in the design and implementation of a liver cancer prevention program in this high-risk group of Asian Americans.
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Affiliation(s)
- Hee-Soon Juon
- a Department of Medical Oncology , Thomas Jefferson University , Philadelphia , Pennsylvania , USA
| | - Rajiv N Rimal
- b Department of Prevention and Community Health , George Washington University , Washington , DC , USA
| | - Ann Klassen
- c Department of Community Health and Prevention , Drexel University Dornsife School of Public Health , Philadelphia , Pennsylvania , USA
| | - Sunmin Lee
- d Department of Epidemiology and Biostatistics , University of Maryland School of Public Health , College Park , Maryland , USA
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Bastani R, Glenn BA, Maxwell AE, Jo AM, Herrmann AK, Crespi CM, Wong WK, Chang LC, Stewart SL, Nguyen TT, Chen MS, Taylor VM. Cluster-Randomized Trial to Increase Hepatitis B Testing among Koreans in Los Angeles. Cancer Epidemiol Biomarkers Prev 2015; 24:1341-9. [PMID: 26104909 PMCID: PMC4560609 DOI: 10.1158/1055-9965.epi-14-1396] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Accepted: 06/02/2015] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND In the United States, Korean immigrants experience a disproportionately high burden of chronic hepatitis B (HBV) viral infection and associated liver cancer compared with the general population. However, despite clear clinical guidelines, HBV serologic testing among Koreans remains persistently suboptimal. METHODS We conducted a cluster-randomized trial to evaluate a church-based small group intervention to improve HBV testing among Koreans in Los Angeles. Fifty-two Korean churches, stratified by size (small, medium, large) and location (Koreatown versus other), were randomized to intervention or control conditions. Intervention church participants attended a single-session small-group discussion on liver cancer and HBV testing, and control church participants attended a similar session on physical activity and nutrition. Outcome data consisted of self-reported HBV testing obtained via 6-month telephone follow-up interviews. RESULTS We recruited 1,123 individuals, 18 to 64 years of age, across the 52 churches. Ninety-two percent of the sample attended the assigned intervention session and 86% completed the 6-month follow-up. Sample characteristics included were as follows: mean age 46 years, 65% female, 97% born in Korea, 69% completed some college, and 43% insured. In an intent-to-treat analysis, the intervention produced a statistically significant effect (OR = 4.9, P < 0.001), with 19% of intervention and 6% of control group participants reporting a HBV test. CONCLUSION Our intervention was successful in achieving a large and robust effect in a population at high risk of HBV infection and sequelae. IMPACT The intervention was fairly resource efficient and thus has high potential for replication in other high-risk Asian groups.
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Affiliation(s)
- Roshan Bastani
- Fielding School of Public Health, Jonsson Comprehensive Cancer Center, UCLA Kaiser Permanente Center for Health Equity, University of California, Los Angeles, California.
| | - Beth A Glenn
- Fielding School of Public Health, Jonsson Comprehensive Cancer Center, UCLA Kaiser Permanente Center for Health Equity, University of California, Los Angeles, California
| | - Annette E Maxwell
- Fielding School of Public Health, Jonsson Comprehensive Cancer Center, UCLA Kaiser Permanente Center for Health Equity, University of California, Los Angeles, California
| | - Angela M Jo
- Family and Community Medicine, University of New Mexico, Albuquerque, New Mexico
| | - Alison K Herrmann
- Fielding School of Public Health, Jonsson Comprehensive Cancer Center, UCLA Kaiser Permanente Center for Health Equity, University of California, Los Angeles, California
| | - Catherine M Crespi
- Fielding School of Public Health, Jonsson Comprehensive Cancer Center, UCLA Kaiser Permanente Center for Health Equity, University of California, Los Angeles, California
| | - Weng K Wong
- Fielding School of Public Health, Jonsson Comprehensive Cancer Center, UCLA Kaiser Permanente Center for Health Equity, University of California, Los Angeles, California
| | - L Cindy Chang
- Fielding School of Public Health, Jonsson Comprehensive Cancer Center, UCLA Kaiser Permanente Center for Health Equity, University of California, Los Angeles, California
| | - Susan L Stewart
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, California
| | - Tung T Nguyen
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Moon S Chen
- Division of Hematology and Oncology, Department of Internal Medicine, University of California Davis, Davis, California
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