Health literacy is the ability of individuals to access, process, and understand health information to make decisions regarding treatment and their health on the whole; it is critical to maintain and improve public health. However, the health literacy of urban and rural populations in China has been little known. Thus, this study aims to assess the status of health literacy and explore the differences of its possible determinants (e.g., socio-economic factors) among urban and rural populations in Henan, China. A cross-sectional study, 78,646 participants were recruited from a populous province in central China with a multi-stage random sampling design. The Chinese Resident Health Literacy Scale was adopted to measure the health literacy of the respondents. In the participants, the level of health literacy (10.21%) in central China was significantly lower than the national average, and a big gap was identified between urban and rural populations (16.92% vs. 8.09%). A noticeable difference was reported in different aspects and health issues of health literacy between urban and rural populations. The health literacy level was lower in those with lower levels of education, and a significant difference was identified in the level of health literacy among people of different ages and occupations in both urban and rural areas. Note that in rural areas, as long as residents educated, they all had higher odds to exhibit basic health literacy than those uneducated; in rural areas, compared with those aged 15 to 24 years, residents aged 45 to 54 years (OR = 0.846,95% CI (0.730, 0.981)), 55 to 64 years (OR = 0.716,95% CI (0.614, 0.836)) and above 65 years (OR = 0.679, 95% CI (0.567, 0.812)) were 84.6%, 71.6%, and 67.9%, respectively, less likely to exhibit basic health literacy. Considering the lower health literacy among rural residents compared with their urban counterparts, a reorientation of the health policy-making for Chinese rural areas is recommended. This study suggests that urban–rural disparity about health literacy risk factors should be considered when implementing health literacy promotion intervention.

Objectives Understanding the unmet needs of community-dwelling stroke survivors is essential for further intervention. This systematic review was performed to summarise their unmet needs from a quantitative viewpoint. Design Systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data sources A comprehensive search of six databases was conducted from inception to February 2020: PubMed, EMBASE, CINAHL, PsycINFO, SCOPUS and CBM. The methodological quality of the studies was assessed. Unmet needs were categorised, and a pooled analysis of the main outcomes was conducted. Eligibility criteria for selecting studies We included quantitative studies focused on the unmet needs of stroke survivors who live at homes rather than in any other institutionalised organisation. Results In total, 32 of 2660 studies were included, and 1980 unmet needs were identified. The prevalence of patients with unmet needs ranged from 15.08% to 97.59%, with a median of 67.20%; the median number of unmet needs per patient ranged from 2 to 8 (0–31). The prevalence of unmet needs was high at 6 months post-stroke (62.14%) and 2 years post-stroke (81.37%). After categorisation, the main concerns among these patients were revealed to be information support, physical function and mental health; a few studies reported unmet needs related to leisure exercise, return to work and so on. Additionally, differences in the measurement tools used across studies affect what unmet needs participants report. Conclusions Sufficient, accurate, individualised and dynamic information support is a priority among community-dwelling stroke survivors. Physical function and mental health are also the most significant concerns for re-achieving social participation. It is essential to design and disseminate standard, effective and time-saving tools to assess unmet needs. Trial registration number CRD42018112181.

The unmet needs perceived by community-dwelling stroke survivors may truly reflect the needs of patients, which is crucial for pleasant emotional experiences and a better quality of life for community-dwelling survivors not living in institutionalized organizations. The purpose of the study is to identify the scope of unmet needs from the perspectives of stroke patients in the community. A qualitative meta-synthesis was performed according to the Joanna Briggs Institute method. Six electronic databases were searched from inception to February 2020. A total of 24 articles were involved, providing data on 378 stroke survivors. Eight categories were derived from 63 findings, and then summarized into four synthesized findings based on the framework of ICF: (1) unmet needs regarding with the disease-related information; (2) unmet physical recovery and activity/participation needs; (3) unmet needs for social environmental resources; (4) unmet psycho-emotional support needs. We found the framework of ICF mostly complete, but unmet information needs still remain. The needs that are mainly unsatisfied include physical, psychosocial and informational, as well as the practical support from professional or environment resources. The ever-present unmet needs perceived by community-dwelling stroke survivors who do not live in institutions are discoverable and mitigable. Future studies should focus on quantifying unmet needs comprehensively derived from experiential domains, assessing the rationality of the unmet needs expressed by patients’ perspectives and developing flexible strategies for long-term and changing needs.

Background: Multimorbidity has a significant impact on public health and primary care. Medication adherence is recognized as the most effective measure for managing and preventing multimorbidity. Studies have shown that medication literacy has a positive effect on medication adherence in patients with multimorbidity. However, limited knowledge exists regarding the underlying mechanisms of this relationship in older adults with multimorbidity. Therefore, the aim of this study was to investigate the mediating role of self-efficacy in the association between medication literacy and medication adherence in this population.Methods: This study employed a cross-sectional design and convenience sampling method to survey older patients with multimorbidity in six communities in Zhengzhou, China, from July 12, 2021, to December 15, 2021. Participants were assessed using a demographic questionnaire, the Chinese Version of the Medication Literacy Scale (C-MLS), the Self-Efficacy for Appropriate Medication Use Scale (SEAMS), and the Chinese Version of the Morisky Medication Adherence Scale-8 (C-MMAS-8). Data were analyzed using descriptive statistics, t-tests, one-way analysis of variance, Pearson correlation analysis, and mediation analysis.Results: A total of 350 elderly patients met the inclusion criteria, and 328 valid questionnaires were collected. The mean age of the participants was 74.90 ± 7.37 years, with a slightly higher proportion of males (55.8%) than females (44.2%). The mean score for medication adherence was 4.85 ± 1.57, indicating poor medication adherence among the participants. Medication adherence scores varied significantly among participants of different ages, education levels, employment statuses and kinds of medication (p < 0.01). Scores for medication literacy and self-efficacy showed a significant positive correlation with medication adherence scores (all p < 0.001). The standardized coefficient for the total effect and direct effect of medication literacy on medication adherence was 0.268 (95% CI: 0.201, 0.335) and 0.187 (95% CI: 0.123, 0.252), respectively. After introducing self-efficacy into the model, the standardized coefficient for the indirect effect was 0.081 (95% CI: 0.049, 0.120), indicating that self-efficacy partially mediated the relationship between medication literacy and medication adherence, accounting for 30.22% of the total effect.Conclusion: This study might suggest that medication literacy indirectly affected medication adherence in older people with multimorbidity through self-efficacy. Health care providers should be aware of the importance of improving medication literacy and implement strategies aimed at increasing self-efficacy to achieve the goal of improving medication adherence in older adults with multimorbidity.

Background/objective Acute myeloid leukemia (AML) is a progressive and malignant cancer of myelogenous blood cells, which disturbs the production of normal blood cells. Although several risk and genetic factors (AML-related genes) have been investigated, the concrete mechanism underlying the development of AML remains unclear. In view of this, it is crucial to develop an effective computational method for meaningfully characterizing AML genes and accurately predicting novel AML genes. Methods In this study, we integrated gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotations as features to characterize AML genes. We also provided an optimal set of features for predicting AML-related genes by using the minimum redundancy maximum relevance (mRMR) algorithm and dagging metaclassifier. Results We obtained 26 optimal GO terms that characterized AML genes well. Finally, we predicted 464 novel genes to provide clinical researchers with additional candidates and useful insights for further analysis of AML. Discussion An in-depth feature analysis indicated that the results are quite consistent with previous knowledge. We developed a systematic method to identify the possible underlying mechanism of AML by analyzing the related genes. Our method has the ability to identify the types of features that are optimal to meaningfully interpret AML and accurately predict more AML genes for further clinical researches.