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1.
Diabetes Metab Syndr Obes ; 17: 1309-1319, 2024.
Article in English | MEDLINE | ID: mdl-38505540

ABSTRACT

Purpose: To ascertain the prevalence and risk factors of gestational diabetes mellitus (GDM) in pregnant women receiving antenatal care (ANC) services within the West Nile subregion of Uganda. Patients and Methods: An analytical cross-sectional study was conducted on 233 pregnant women who are within 24-28 weeks of gestation and are receiving ANC services in selected hospitals. GDM was diagnosed according to the World Health Organization (WHO) criteria (2013). A questionnaire and anthropometric measurements were used to obtain relevant data. The chi-square test and logistic regression were used to determine the association between GDM and the study variables, including participants' sociodemographic and medical characteristics. Results: The prevalence of hyperglycemia first detected in pregnancy among the participants tested was 8%. Overall, 7.45% had GDM and 0.53% had diabetes mellitus in pregnancy. The fasting plasma glucose test alone was positive in 86.7% of the GDM cases. The factors that were significantly associated with GDM included age ≥25 years (p = 0.017, AOR = 3.51) and body mass index (BMI) ≥25 kg/m2 (p = 0.024, AOR = 2.67). Out of the participants diagnosed with GDM, 28.6% did not have a known risk factor. Of the pregnant women with GDM, 57% would have been missed if the selective screening in the national clinical guidelines had been followed. Urinary tract infection (UTI) and Candida were detected in 36.36% and 13.85% of the participants, respectively. Conclusion: The study provides new data on the prevalence of GDM in rural settings in the West Nile subregion of Uganda. Of the participants, 7.5% were diagnosed with GDM, of which 57% would have been missed based on the selective screening of the national clinical guidelines. The study findings support the universal screening of GDM in pregnant women.

2.
PLoS One ; 7(12): e51631, 2012.
Article in English | MEDLINE | ID: mdl-23284728

ABSTRACT

INTRODUCTION: Starting in June 2010 the Infectious Diseases Institute (IDI) clinic (a large urban HIV out-patient facility) switched to provider-based Electronic Medical Records (EMR) from paper EMR entered in the database by data-entry clerks. Standardized clinics forms were eliminated but providers still fill free text clinical notes in physical patients' files. The objective of this study was to compare the rate of errors in the database before and after the introduction of the provider-based EMR. METHODS AND FINDINGS: Data in the database pre and post provider-based EMR was compared with the information in the patients' files and classified as correct, incorrect, and missing. We calculated the proportion of incorrect, missing and total error for key variables (toxicities, opportunistic infections, reasons for treatment change and interruption). Proportions of total errors were compared using chi-square test. A survey of the users of the EMR was also conducted. We compared data from 2,382 visits (from 100 individuals) of a retrospective validation conducted in 2007 with 34,957 visits (from 10,920 individuals) of a prospective validation conducted in April-August 2011. The total proportion of errors decreased from 66.5% in 2007 to 2.1% in 2011 for opportunistic infections, from 51.9% to 3.5% for ART toxicity, from 82.8% to 12.5% for reasons for ART interruption and from 94.1% to 0.9% for reasons for ART switch (all P<0.0001). The survey showed that 83% of the providers agreed that provider-based EMR led to improvement of clinical care, 80% reported improved access to patients' records, and 80% appreciated the automation of providers' tasks. CONCLUSIONS: The introduction of provider-based EMR improved the quality of data collected with a significant reduction in missing and incorrect information. The majority of providers and clients expressed satisfaction with the new system. We recommend the use of provider-based EMR in large HIV programs in Sub-Saharan Africa.


Subject(s)
Decision Support Systems, Clinical , Electronic Health Records/statistics & numerical data , HIV Infections/therapy , Program Development , Quality Assurance, Health Care , Adult , Africa South of the Sahara , HIV , Humans , Surveys and Questionnaires
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