![]() The pooled proportion of non-adherence to self-care in the diabetes population was 49.91 (95% CI: 44.73–55.08, I ² = 89.8%). We included 21 primary studies (with 7,134 participants) in this meta-analysis. The review has been registered in PROSPERO with protocol number CRD 42020149478. The review presented the pooled proportion of non-adherence to self-care practice in people with diabetes and the odds ratios of risk factors hindering to self-care practice after checking for heterogeneity and publication bias. Articles’ quality was assessed using the Newcastle-Ottawa Scale by two independent reviewers, and only studies with low and moderate risk were included in the final analysis. Three reviewers have been searched and extracted from the World Health Organization’s Hinari portal (SCOPUS, African Index Medicus, and African Journals Online databases), PubMed, Google Scholar and EMBASE. So, this review with a meta-analysis was conducted to bridge this gap.Ī systematic review of an observational study is conducted following the PRISMA checklist. However, a comprehensive review that would have a lot of strong evidence for designing intervention is lacking. So far, in Ethiopia, several observational studies have been done on self-care practice and its determinants in people with diabetes. Self-care practice among people with diabetes is not well-implemented in Ethiopia. Therefore, giving greater attention to patients with identified predictors could decrease the occurrence of hyperglycemic emergencies and related public health and economic impacts. Type 1 diabetes mellitus, diabetes duration of ≥ 3 years, recent acute illness, presence of comorbidity, poor glycemic control, history of medication non-compliance, follow-up frequency of 2–3 months, and without community health insurance were significant predictors of hyperglycemic emergencies.Ĭonclusion: The incidence of hyperglycemic emergencies was high. ![]() The overall median free survival time was 53.85 months. The incidence of the hyperglycemic hyperosmolar syndrome was 2.1 per 100 person-years (0.9 and 2.4 among T1DM and T2DM, respectively). The incidence of diabetic ketoacidosis was 12.5 per 100 person-years (35.6 and 6.3 among T1DM and T2DM, respectively). ![]() Hence, the overall incidence of hyperglycemic emergencies was 14.6 per 100 person-years observation. Result: Among the total adult patients with diabetes included in the study, 147 (32.45%) developed hyperglycemic emergencies. A Cox-proportional hazard regression model was fitted to identify the independent predictors of hyperglycemic emergencies, and variables having a p < 0.05 in the multivariable model were considered statistically significant. Data were entered into EPI data version 4.6 and analyzed using STATA version 14.0. Method: A retrospective follow-up study design was conducted among a randomly selected sample of 453 adult patients with diabetes. Thus, this study aimed to assess the incidence and predictors of hyperglycemic emergencies among adult patients with diabetes. Despite the growing hyperglycemic emergency impact among adult patients with diabetes, its incidence and predictors have not been well studied in Ethiopia. The app controls and facilitates user inputs by taking advantage of the iPad’s touchscreen interface and using input devices such as sliders and steppers.Background: Diabetic ketoacidosis and hyperglycemic hyperosmolar syndrome are the two commonly known life-threatening hyperglycemic emergencies of diabetes mellitus. Each calculator has been adapted for iOS and is included in this app. StatCalc statistical calculators have long been a feature of CDC’s Epi info desktop software. Executing SQL statements such as SELECT, UPDATE, and DELETE.Deleting local SQLite tables from the device.2x2 or MxN tables and associated statistics.Storing comma-delimited tables to the local Epi Info SQLite table via email. ![]() Packaging and encrypting local datasets for import to PC Epi Info 7 projectsĪllows the user to read and analyze locally-stored datasets.Recalling and updating or deleting existing records.Entering new records to be stored on the device.Importing a collection form via the device’s native email app.Data EntryĪllows the user to collect data on the mobile device using a form created with Epi Info 7 on a desktop PC. The Epi Info app features Data Entry, Data Analysis, and StatCalc. Epi Info Companion App for iOS Project Description
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