ABSTRACT
INTRODUCTION: Gestational diabetes has serious health effects during pregnancy and childbirth. We estimated the occurrence of gestational diabetes mellitus (GDM) among pregnant women in a secondary care hospital in Haryana. METHODS: It was a hospital-based cross-sectional study, done in an ante-natal clinic (ANC) at a sub-district hospital (SDH), Faridabad district of Haryana, India. Eligible pregnant women attending the ANC clinic were recruited. An oral glucose tolerance test (OGTT) with 75 g of glucose was done with a collection of blood for fasting blood sugar (FBS) and two-hour post-OGTT blood glucose. A pre-tested semi-structured interview schedule was administered. Both the modified International Association of the Diabetes and Pregnancy Study Groups criteria (IADPSGC) and the Diabetes in Pregnancy Study Group of India (DIPSI) criteria were used. Data were presented as percentages, means, standard deviation, and 95% confidence interval (CI). Bi-variable and multi-variable logistic regressions were done. The level of significance was set at 0.05. RESULTS: Of the 623 eligible participants, 66.1% were within the 20-25 age group. The GDM was found in 14.1% (95%CI: 11.5-17.1) participants as per modified IADPSG criteria and 6.7% (95%CI: 4.9-9.0) participants as per DIPSI criteria, respectively. Increasing age [adjusted odds ratio (AOR): 1.24 (95% CI: 1.05-1.47), p=0.008] and increasing years of schooling [AOR: 1.19 (1.01-1.41), p=0.032] were significantly associated with GDM by DIPSI criteria. Family history of DM was also found to have an increased odds with GDM using modified IADPSG criteria [AOR 2.87 (95% CI: 1.09-7.54), p=0.032]. Conclusion: Considerable proportion of pregnant women were found to have GDM in a Sub-district hospital at Ballabgarh in north India. The study highlighted the need and generated evidence about the feasibility of GDM screening utilizing routine staff in a secondary care facility.
ABSTRACT
Vaccination is a critical tool in protecting against COVID-19. It is essential to know the time for each activity in a COVID-19 vaccination process for better management, especially during a pandemic. Thus, we conducted a time-motion study to identify activities that led to delayed/increased waiting time in an urban primary health center in Bhubaneswar, India. We observed 196 COVID-19 vaccine beneficiaries over one month (June 2021) from when they arrived at the vaccination center until they left the center. A data collection form and a Stopwatch were used to estimate the time taken for various activities involved in COVID-19 vaccine delivery. The time taken was expressed in mean and median. We also compared the time taken during the first and second doses using the Mann-Whitney U test. The total mean time spent at the vaccination center was 40:56 ± 20:52 minutes. The activity that took the longest was 'waiting time in queue before vaccination', which was 34:22 ± 20:56 min constituting 82% of the total time. The activity that took longer for the second dose than the first was the beneficiary verification in the Co-WIN portal with a median of 27 seconds and 36 seconds, respectively (p < .001). This study will help program managers formulate better strategies to improve the vaccination process making it more efficient.
