Efficacy of Google Form-based MCQ tests for formative assessment in medical biochemistry education.

BACKGROUND: Biochemistry, being a vast and complex subject, can be challenging for Phase I MBBS students to comprehend and retain. Embracing rapidly evolving technology can facilitate a more accessible learning experience. In this study, we investigated the effectiveness of using Google Form-based multiple-choice question (MCQ) tests as a formative assessment tool after each biochemistry lecture series. The aim was to assess the improvement and gather feedback of Phase I MBBS students on the utility of this assessment tool. MATERIALS AND METHODS: This educational prospective longitudinal study was conducted by the Department of Biochemistry at a university-affiliated medical college and tertiary care hospital. The study included 150 Phase I MBBS students as participants. Google Form-based MCQ tests were implemented as educational interventions after each lecture series during the study period. The study compared the internal assessment (IA) MCQ marks of students before and after the implementation of the intervention. In addition, feedback questionnaires were collected from the students. RESULTS: There was a significant improvement in students' scores between the first IA (mean ± standard deviation [SD], 8.16 ± 3.08) and second IA (mean ± SD, 17.64 ± 2.02) (P < 0.0001). According to students' feedback, 149 out of 150 (99.3%) students found the use of Google Form-based MCQ tests as a formative assessment tool in the teaching-learning process to be highly beneficial and motivated them to engage in their biochemistry studies. CONCLUSION: With the shift toward competency-based medical education (CBME) in India, it is crucial for educators to embrace novel teaching-learning and evaluation approaches. Our study highlighted the efficacy of employing Google Form-based MCQ tests in enhancing students' comprehension of the biochemistry subject, evaluating their scores and improving the overall quality of learning. Through this mode of assessment, teachers were able to provide targeted feedback on areas that required improvement, thereby enhancing the learning experience.

Improving newborn screening in India: Disease gaps and quality control.

In India, newborn screening (NBS) is essential for detecting health problems in infants. Despite significant progress, significant gaps and challenges persist. India has made great strides in genomics dueto the existence of the National Institute of Biomedical Genomics in West Bengal. The work emphasizes the challenges NBS programs confront with technology, budgetary constraints, insufficient counseling, inequality in illness panels, and a lack of awareness. Advancements in technology, such as genetic testing and next-generation sequencing, are expected to significantly transform the process. The integration of analytical tools, artificial intelligence, and machine learning algorithms could improve the efficiency of newborn screening programs, offering a personalized healthcare approach. It is critical to address gaps in information, inequities in illness incidence, budgetary restrictions, and inadequate counseling. Strengthening national NBS programs requires increased public awareness and coordinated efforts between state and central agencies. Quality control procedures must be used at every level for implementation to be successful. Additional studies endeavor to enhance NBS in India through public education, illness screening expansion, enhanced quality control, government incentive implementation, partnership promotion, and expert training. Improved neonatal health outcomes and the viability of the program across the country will depend heavily on new technology and counseling techniques.