Objective To investigate the level and influencing factors for self-efficacy among elders with hypertension in Zhoushan and to provide the reference for improving the self-efficacy of elders with hypertension. Methods The stratified sampling method was used to select elders with hypertension from 4 streets (townships) in urban and rural of Zhoushan in 2016. Four communities were selected from each street (townships) as sample units and using the random sampling to select 50 patients from every community. The investigation was performed with unified questionnaire. The influencing factors for self-efficacy were analyzed with logistic regression. Results The average score of the self-efficacy was 34.13±5.17. Among the investigated 738 elders with hypertension, more than half of them were scored 1ess than 2 in two items, which were blood pressure monitoring (86.99％) and persistent physical exercise (50.95％) . Scoring index of compliance behavior of hypertension was the lowest, only 63.93％ . By multivariate logistic regression analysis, those patients who were female (OR=2.34, 95％ CI: 1.55-3.53) , educated (ORprimary=1.72, 95％ CI: 1.09-2.69; ORjunior =2.25, 95％ CI: 1.13-4.46;ORsenior and above=2.46, 95％ CI: 1.06-5.71), with high level of drug compliance (ORmedium=1.72, 95％CI: 1.09-2.69; ORhigh=2.12, 95％ CI: 1.38-3.26) were more likely to get high level of self-efficacy. Patients who monitored blood pressure only uncomfortable were more likely to get low level of self-efficacy (OR=0.22, 95％ CI: 0.08-0.68) . Conclusion More than half of community-dwelling elders with hypertension had a middle level self-efficacy in Zhoushan, who need further improvement. Corresponding interventions should be developed to strengthen the self-efficacy, which can help patients improve self-management of hypertension and establish a healthy life style.

Objective:To explore the status of disability, characteristics of unmet needs and services of rehabilitation and their related factors for adults with disabilities (AWDs). Methods:A total of 2 315 498 AWDs were sampled from the provincial level administration data (2019). Multiple response analysis was used to analysis the disability status of AWDs, characteristics of unmet needs and received services of rehabilitation, and related factors were explored with Logistic regression. Results:The distribution of disabilities for AWDs from high to low were physical disabilities (62.2%), visual disabilities (9.9%), intellectual disabilities (8.4%), mental disorders (7.3%), hearing disabilities (6.9%), multiple disabilities (2.8%) and speech disabilities (2.5%). The reporting rate of unmet needs of rehabilitation for AWDs from high to low were assistive devices (49.0%), medicine (33.3%), nursing care (27.7%), functional training (20.2%) and surgery (1.9%). The reporting rate of received service for AWDs from high to low were assistive devices (44.1%), nursing care (26.6%), medicine (25.9%), functional training (22.2%) and surgery (1.3%). The logistic regression model shown that types and severities of disabilities had significant effects on unmet needs and received services of rehabilitation for AWDs (P < 0.001). Conclusion:The reporting of unmet needs for AWDs had been influenced by their functioning and disability. There were gaps between unmet needs and received services. It proposed to develop precise and individualized reporting of unmet needs and service programs for AWDs.

Objective:To explore the characteristics of unmet needs and services of rehabilitation for people with hearing disability (PHD). Methods:A total of 219 473 PHDs administration data of unmet needs and services of rehabilitation at provincial level were sampled (2019) and analyzed the characteristics of needs and services of rehabilitation with multiple response analysis, and the related factors of needs and services with Logistic regression. Results:There were 47 657 (21.7%) PHDs reported their unmet needs of rehabilitation, from high to low were assistive devices (65.5%), medicine (22.7%), nursing care (19.1%), functional training (16.2%) and surgery (2.2%). There were 34 684 (18.8%) PHDs reported their received services, from high to low were assistive devices (59.8%), medicine (22.5%), functional training (19.7%), nursing care (19.4%) and surgery (1.8%). The logistic regression model showed that age, types of household registration and severities of disabilities related with the reported unmet needs and received services (P < 0.001). Conclusion:PHDs mainly reported unmet needs in the fields of assistive devices, medicine, and rehabilitation training. The reported unmet needs for PHDs had matched the received services structurally. It proposed to use modern science and technology to develop services delivery and to improve accessibility and quality of rehabilitation services.