4 research outputs found

    Health literacy among Iranian patients with type 2 diabetes: A systematic review and meta-analysis

    No full text
    Health literacy is one of the most important determinants of health. Limited health literacy can leads to reduced adherence to treatment, repeated hospitalizations, and increased diseases complications. Several studies on health literacy among Iranian patients with type 2 diabetes have reported different prevalences of health literacy. The present study is aimed to determine through a systematic review and meta-analysis the prevalence of adequate health literacy in the Iranian population. A total of 8 articles that met the inclusion criteria, published from inception until December 2018, were collected. Articles were searched using the following keywords and their possible combinations: Health Literacy, Illiteracy, Functional Health Literacy, Diabetes, Diabetes Mellitus, and Iran. The data were analyzed using meta-analysis and the random-effects model was used to obtain a pooled prevalence estimate along with its 95 confidence interval. Heterogeneity among the studies was assessed using the I 2 statistic. Analyses were performed using STATA software, version 12. The overall prevalences of inadequate and borderline health literacy among Iranian patients with type 2 diabetes were 43.47 (95 CI: 31�55.95) and 26.34 (95 CI: 19.49�33.19), respectively. In addition, the prevalence of adequate health literacy among patients with type 2 diabetes was 29.72 (95 CI: 22.79�36.64). There was no significant relationship between health literacy with year of publication, sample size, and patients� age. Inadequate health literacy is high (43.5) among Iranian patients with type 2 diabetes. This makes it necessary to provide interventions aimed at improving their heath literacy which will reduce hospitalizations and diseases complications. © 2019 Diabetes Indi

    On the Equivalence of Cohen’s Kappa and the Hubert-Arabie Adjusted Rand Index

    No full text
    Correction for chance agreement, Partitions, Clustering method, Matching table, Simple matching coefficient, Similarity indices, Resemblance measures,
    corecore