Patterns and determinants of prescribed drug use among pregnant women in Adigrat general hospital, northern Ethiopia: a cross-sectional study

Patterns, Potential Teratogenicity, and Associated Factors of Drugs Prescribed to Pregnant Women Attending Antenatal Care Units in Debre Tabor Comprehensive Specialized Hospital, Debre Tabor, Northwest Ethiopia

Background: About 80% of pregnant women use at least one medication during their pregnancy period. Many drugs that are not allowed to be used during pregnancy (from FDA Pregnancy Categories D and X) were used. Irrational use of these drugs during pregnancy may result in different birth defects, as explained by thalidomide and diethylstilbestrol's tragedy. Knowledge of drug utilization and associated factors that affect the pattern is important to enhance rational prescribing. But information about prescription patterns and associated factors among pregnant women is scarce in the Debre Tabor area and generally in Ethiopia. Objective: This study was aimed at assessing drug prescription patterns, potential teratogenicity, and associated factors among pregnant women attending the antenatal care unit at Debre Tabor Comprehensive Specialized Hospital, Debre Tabor, Northwest Ethiopia. Methods: A retrospective cross-sectional study design was performed on 359 pregnant women attending antenatal care units from June 01, 2022, to August 30, 2022, in the hospital. Necessary data were obtained through a questionnaire by reviewing the medical charts of the women. Analysis of the data was performed using SPSS Version 23. The association of the independent variables to medication use was assessed using multivariate logistic regression. A p value of less than 0.05 was considered significant. Results: Most of the study participants (325/359) were married (90.5%). From a total of 359 participants, 350 (97.5%) were prescribed with drugs. About 64% (385/602) of the prescribed medications were iron and vitamins. The most commonly prescribed medications are iron and folic acid combination (340/602, 56.5%), albendazole (48/602, 8%), mebendazole (37/602, 6.1%), omeprazole (33/602, 5.5%), followed by amoxicillin (32/602, 5.3%). The majority (79.3%) of the drugs were from FDA Pregnancy Categories A and B. Prescribed drug utilization was more probable in women who first visited the facility at their second (AOR = 2.91, 95% CI [1.12-6.64]) and third trimesters (AOR = 4.32, 95% CI [1.37-6.81]), had chronic illness (AOR = 7.54, 95% CI [2.34-14.68]), and live in rural areas (AOR = 2.47, 95% CI [1.56-8.43]). Conclusion: The study revealed that the prescription pattern in the hospital is in line with the WHO reference. Age, gravidity, number of ANC visits, first visit to the facility, presence of chronic illness, educational status, and residency were significantly associated with prescription drug use in pregnant mothers. But still, some pregnant women received drugs that may have teratogenicity risk (FDA Category C).

Global prevalence of antibiotic consumption during pregnancy: A systematic review and meta-analysis

BACKGROUND

Antibiotic use during pregnancy is widespread with notable variations across regions.

METHODS

This systematic review and meta-analysis (Prospero protocol CRD42023418979) examines the prevalence and variability of antibiotic use in pregnancy globally and regionally, considering different methodologies and maternal characteristics. We searched Embase, PubMed, and Web of Science for observational studies published in English from the year 2000 and onwards. Random-effect meta-analyses were used to pool the prevalence of antibiotic consumption during pregnancy, presented as percentages with 95% confidence intervals (CI). Joanna Briggs Institute Critical appraisal checklist for prevalence studies was used for bias assessment.

FINDINGS

Overall, 116 studies (14 from Africa, 24 from the Americas, six from Eastern Mediterranean, 57 from Europe, four from South-East Asia and 11 from Western Pacific) were included (33,821,194 pregnancies). The majority of studies (84.5%) were appraised with a low risk of bias. The prevalence of antibiotic consumption during pregnancy ranged between 0.04 to 90%, with a pooled estimate of 23.6% (95% CI: 20.1-27.5, I2 =100%). Low-income countries had the highest pooled prevalence (45.3%, 95% CI: 15.4-79.1, I2 =99.6%). Regionally, the Western Pacific had the highest pooled prevalence (34.4%, 95% CI: 13.4-64.1, I2 =100%). The prevalence of antibiotic consumption during pregnancy increased over time in the Americas and Western Pacific. The studies exhibited considerable heterogeneity (I2 >95%), and the trim-and-fill method estimated a potential 10% underestimation of the overall pooled prevalence, suggesting publication bias.

INTERPRETATION

This meta-analysis suggests that about 1/4 of women worldwide use antibiotics during pregnancy. This study suggests a high prevalence of antibiotic consumption during pregnancy with disparities according to region and level of country income, ethnicity and whether antibiotics were prescribed or self-medicated. There was a variability in reported findings across age categories, potential bias from small sample sizes, and language bias from including only studies published in English.

Racial Disparities in Medication Use During Pregnancy: Results from the NISAMI Cohort

Purpose

This study aimed to evaluate racial disparities in medication use and associated factors among pregnant women receiving prenatal care at Brazilian Unified Health System primary care health units in the northeast region.

Patients and Methods

A total of 1058 pregnant women in the NISAMI Cohort were interviewed between June 2012 and February 2014. Medicines used during pregnancy were classified according to the Anatomical Therapeutic Chemical (ATC) classification system and ANVISA pregnancy risk categories. Prevalence ratios (crude and adjusted) and 95% confidence intervals (CIs) were estimated using Poisson regression with robust error variance. All analyses were stratified by race (Asian, black, brown/mixed, Brazilian indigenous, and white).

Results

Approximately 84% of the pregnant women used at least one medication, with a lower proportion among white women. The most reported medications were antianemic preparations (71.08%; 95% CI 68.27-73.72%), analgesics (21.74%; 95% CI 19.36-24.32%), and drugs for functional gastrointestinal disorders (18.81%; 95% CI 16.57-21.28%). Approximately 29% of women took potentially risky medications during pregnancy, with a higher prevalence among Asian and white women. Factors associated with medication use during pregnancy include a greater number of prenatal consultations, higher education levels, health problems, and smoking. In addition, maternal age above 25 years, smoking status, and two or more previous pregnancies were associated with potentially risky medication use during pregnancy.

Conclusion

A high prevalence of medication use during pregnancy was found; however, this prevalence was lower among white women. Nonetheless, black and brown women used antianemic preparations less frequently. This finding suggests that race is a factor of inequity in prenatal care, demanding public policies to mitigate it.

A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis

Purpose

This study aims to identify the novel risk predictors of low medication adherence of cirrhosis patients in a large cohort and construct an applicable predictive model to provide clinicians with a simple and precise personalized prediction tool.

Patients and Methods

Patients with cirrhosis were recruited from the inpatient populations at the Department of Infectious Diseases of Tangdu Hospital. Patients who did not meet the inclusion criteria were excluded. The primary outcome was medication adherence, which was analyzed by the medication possession ratio (MPR). Potential predictive factors, including demographics, the severity of cirrhosis, knowledge of disease and medical treatment, social support, self-care agency and pill burdens, were collected by questionnaires. Predictive factors were selected by univariable and multivariable logistic regression analysis. Then, a nomogram was constructed. The decision curve analysis (DCA), clinical application curve analysis, ROC curve analysis, Brier score and mean squared error (MSE) score were utilized to assess the performance of the model. In addition, the bootstrapping method was used for internal validation.

Results

Among the enrolled patients (460), most had good or moderate (344, 74.78%) medical adherence. The main risk factors for non-adherence include young age (≤50 years), low education level, low income, short duration of disease (<10 years), low Child-Plush class, poor knowledge of disease and medical treatment, poor social support, low self-care agency and high pill burden. The nomogram comprised these factors showed good calibration and good discrimination (AUC = 0.938, 95% CI = 0.918-0.956; Brier score = 0.14). In addition, the MSE value was 0.03, indicating no overfitting.

Conclusion

This study identified predictive factors regarding low medication adherence among patients with cirrhosis, and a predictive nomogram was constructed. This model could help clinicians identify patients with a high risk of low medication adherence and intervention measures can be taken in time.

Mothers of children with Down syndrome: a clinical and epidemiological study

Down syndrome is the main genetic cause of intellectual disability. Many studies describe the clinical characteristics of DS patients; however, few have investigated the clinical profile of mothers who have children with DS. Advanced maternal age (≥ 35 years old) is a risk factor for DS. Although there is an overall increase in pregnancies among women with advanced maternal age, there is still a lack of awareness of the increased risk of aneuploidy. Here, we reported the clinical and epidemiological profile of DS children and their mothers in a public reference hospital in the State of Rio de Janeiro, Brazil. For data collection, we performed a face-to-face interview guided by a structured questionnaire with closed-ended questions. A total of 344 individuals, 172 mothers and their DS children, were included in this study. Our results show that 56% of the mothers sampled were ≥ 35 years of age at childbirth. Although 98% of them received prenatal care, only 4% obtained a prenatal diagnosis of DS. Most mothers reported not drinking alcohol or smoking cigarettes during pregnancy. Furthermore, 91% of women took prenatal vitamins and supplements; however, 47% were not aware of their benefits for a healthy pregnancy. Given the strict correlation between advanced maternal age and DS, prenatal care should include genetic counseling for women over 35 years of age. This study highlights the importance of prenatal care and the urgent need for better DS screening allowing for immediate postnatal care, positively impacting the life expectancy of these patients.

Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment

BACKGROUND

In the absence of clinical trials, data on the safety of medicine exposures in pregnancy are dependent on observational studies conducted after the agent has been licensed for use. This requires an accurate history of antenatal medicine use to determine potential risks. Medication use is commonly determined by self-report, clinician records, and electronic pharmacy data; different data sources may be more informative for different types of medication and resources may differ by setting. We compared three methods to determine antenatal medicine use (self-report, clinician records and electronic pharmacy dispensing records [EDR]) in women attending antenatal care at a primary care facility in Cape Town, South Africa in a setting with high HIV prevalence.

METHODS

Structured, interview-administered questionnaires recorded self-reported medicine use. Data were collected from clinician records and EDR on the same participants. We determined agreement between these data sources using Cohen's kappa and, lacking a gold standard, used Latent Class Analysis to estimate sensitivity, specificity and positive predictive value (PPV) for each data source.

RESULTS

Between 55% and 89% of 967 women had any medicine use documented depending on the data source (median number of medicines/participant = 5 [IQR 3-6]). Agreement between the datasets was poor regardless of class except for antiretroviral therapy (ART; kappa 0.6-0.71). Overall, agreement was better between the EDR and self-report than with either dataset and the clinician records. Sensitivity and PPV were higher for self-report and the EDR and were similar for the two. Self-report was the best source for over-the-counter, traditional and complementary medicines; clinician records for vaccines and supplements; and EDR for chronic medicines.

CONCLUSIONS

Medicine use in pregnancy was common and no single data source included all the medicines used. ART was the most consistently reported across all three datasets but otherwise agreement between them was poor and dependent on class. Using a single data collection method will under-estimate medicine use in pregnancy and the choice of data source should be guided by the class of the agents being investigated.