Miaomiao Zhao

Dr. Miaomiao Zhao

Nantong University

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 July 2021 in BMC Health Services Research
Verified
Journal Article
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DADaniel Adjei Amporfro
Daniel Adjei Amporfro
MBMichael Boah
Michael Boah
YSYingqi Shao
Yingqi Shao
TWTHERESE MARTIN CHETEU WABO
THERESE MARTIN CHETEU WABO
MZMiaomiao Zhao
Miaomiao Zhao
QWQunhong Wu
Qunhong Wu
Background: The service industry has been an evolving sector and a great concern to providers ensuring continuously that clients’ satisfaction is met. Hence, the importance of patient satisfaction in the healthcare sector. This study focused on the satisfaction of women with the delivery of health services in Ghana and aims to be different from other studies which has focused on patient satisfaction with urban and rural health services, regional health services and health insurance. Our study examines the percentages of satisfaction with the multiple outcomes defined and identifies the key health system and demographic related factors associated with women satisfaction. Methods: This study used data from the 2014 Ghana Demographic and Health Survey and a total of 12,831 households were systematically selected with reproductive women aged 15–49 years eligible for interview. Data for this study was analysed quantitatively using descriptive statistics, chi square and regression analysis. A total of 3648 women were included in this study and the final analysis thus involved a weighted sample of 3507 women. Satisfaction indicators were put together into SERVQUAL dimensions in the study and reliability test run using Cronbach Alpha (α). All data analyses were carried out in STATA 13.0. The adjusted odds ratios (AOR) with their corresponding 95% confidence intervals (CI) were calculated. Results: Analysis showed that independently, education and religion were significantly associated with service reliability, overall satisfaction and responsiveness. Payment option was also associated with responsiveness and tangibility dimensions. Furthermore, place of residence was independently associated with responsiveness, tangibility and overall satisfaction. Finally, maternal age, region, provider friendly, ease of getting care and opening hours were all independently associated with reliability, responsiveness, tangibility and overall service satisfaction at the multivariable level. Conclusions: Dimensions of service quality which focus on patient-centered atmosphere and efficient service delivery system should be integrated and strengthened by hospital management in order to increase patient satisfaction. Key maternal characteristics and health system related factors were revealed to have positive association with patient satisfaction with health services delivery and this cannot be ignored by health care managers in ensuring that systems are improved for better health care.

3 April 2020 in International Journal for Equity in Health
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Journal Article
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JWJiahui Wang
Jiahui Wang
HZHong Zhu
Hong Zhu
HLhuan liu
huan liu
KWKe Wu
Ke Wu
XZXin Zhang
Xin Zhang
LSlinghan Shan
linghan Shan
Background: China’s fragmentation of social health insurance schemes has become a key obstacle that hampers equal access to health care and financial protection. This study aims to explores if the policy intervention Urban and Rural Residents Basic Medical Insurance (URRBMI) scheme, which integrates Urban Resident Basic Medical Insurance (URBMI) and New Rural Cooperative Medical Scheme (NCMS), can curb the persistent inequity of catastrophic health expenditure (CHE) and further analyses the determinants causing inequity. Methods: Data were derived from the Fifth National Health Service Survey (NHSS). A total of 11,104 households covered by URRBMI and 20,590 households covered by URBMI or NCMS were selected to analyze CHE and the impoverishment rate from medical expenses. Moreover, the decomposition method based on a probit model was employed to analyse factors contributing CHE inequity. Results: The overall incidence of CHE under integrated insurance scheme was 15.53%, about 1.10% higher than the non-integrated scheme; however, the intensity of CHE and impoverishment among the poorest was improved. Although CHE was still concentrated among the poor under URRBMI (CI = -0.53), it showed 28.38% lower in the degree of inequity. For URRBMI households, due to the promotion of integration reform to the utilization of rural residents’ better health services, the factor of residence (24.41%) turns out to be a major factor in increasing inequity, the factor of households with hospitalized members (− 84.53%) played a positive role in reducing inequity and factors related to social economic status also contributed significantly in increasing inequity. Conclusion: The progress made in the integrated URRBMI on CHE equity deserves recognition, even though it did not reduce the overall CHE or the impoverishment rate effectively. Therefore, for enhanced equity, more targeted solutions should be considered, such as promoting more precise insurance intervention for the most vulnerable population and including costly diseases suitable for outpatient treatment into benefit packages. Additionally, comprehensive strategies such as favourable targeted benefit packages or job creation are required for the disadvantaged.

1 October 2020 in Nature and Science of Sleep
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Journal Article
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BLBaohua Liu
Baohua Liu
FGFei Gao
Fei Gao
JZJianfeng Zhang
Jianfeng Zhang
HZHongguo Zhou
Hongguo Zhou
NSNing Sun
Ning Sun
MZMiaomiao Zhao
Miaomiao Zhao
Background: Sleep affects a wide array of health outcomes and is associated with the quality of life. Among students, sleep quality is affected by school stage and grade; however, data regarding the different sleep-related problems students experience at different school stages are limited. In this study, we aimed to explore sleep quality among a student sample ranging from elementary school to university level. Methods: Overall, data were examined for 9392 subjects aged 9– 22 years. Information on sociodemographic characteristics and other variables were collected through self-administered questionnaires. Sleep quality on school nights was evaluated using the standard Pittsburgh Sleep Quality Index; global score > 5 was classified as poor sleep quality. For the high school sample, logistic regression analysis was used to estimate associations between sleep quality and certain factors. Results: Of the elementary school, middle school, vocational high school, senior high school, and university students, 7.5%, 19.2%, 28.6%, 41.9%, and 28.5%, respectively, showed poor sleep quality. The high school students reported the highest prevalence of shorter sleep duration (70.8%), day dysfunction (84.7%), and subjective poor sleep quality (17.2%). The elementary school students showed the highest prevalence of poor sleep efficiency (17.9%). The university students showed the highest prevalence of sleep medication use (6.4%). The vocational high school students reported the highest prevalence of sleep latency (6.3%) and sleep disturbance (7.4%). Logistic regression modeling indicated that sleep quality is positively associated with school stage, grade, family atmosphere, academic pressure, and number of friends. Conclusion: Sleep quality and sleep features change greatly from elementary school to university. Interventions to improve sleep quality should consider targeting the specific issues students experience at each school stage. Alarmed by the high prevalence of poor sleep quality among high school students, it is recommended that high school students should be informed of their sleep matter and the consequences.

29 August 2019 in BMC Public Health
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Journal Article
Open access
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MZMiaomiao Zhao
Miaomiao Zhao
HLHua Liu
Hua Liu
TZTong Zheng
Tong Zheng
JXjiao xu
jiao xu
YHYanhua Hao
Yanhua Hao
LLLibo Liang
Libo Liang
Hostility can result in negative outcomes in people living with HIV/AIDS (PLWHA); however, previous research on this topic is far from adequate. To contribute to existing knowledge on this aspect of PLWHA, the current study examined the prevalence of hostility and its potential influencing factors among PLWHA. A cross-sectional questionnaire survey was undertaken on 218 HIV patients in Heilongjiang Province of China between March and August in 2013. A multiple logistic regression analysis was performed to identify factors associated with hostility. The prevalence of hostility was 17.0% among the participants. The three most alarming types of hostility included desiring to kill the person who infected them, blaming the infection on the society, and abandoning themselves to despair. A multiple logistic regression model identified that depression (OR = 3.845, 95% CI = 1.309–9.229), perceived stigma (OR = 3.281, 95% CI = 1.109–7.711), and fear of dying (OR = 2.710, 95% CI = 1.068–6.881) were the risk factors for hostility, while higher levels of trust-in-doctor (OR = 0.176, 95% CI = 0.060–0.517) and per capita household income (OR = 0.344, 95% CI = 0.119–0.991) were protective factors. Our findings highlight the prominent influence of psychological, healthcare, and social factors on hostility among PLWHA. Interventions specifically targeted to reduce hostility should be provided, including incorporating psychological service into HIV management guidelines, enhancing PLWHA’s trust-in-doctor, establishing comprehensive services for PLWHA, reducing the social stigma against PLWHA, and paying more attention to PLWHA with financial problems. These interventions may improve the management and control of HIV/AIDS.