Knowledge Among Junior Doctors About the Collection and Transport of Samples for Tuberculosis Diagnosis in a Medical College Hospital in Coastal Karnataka, India.

Background The accuracy of the TB diagnosis depends on the quality of the collected and transported samples. Inadequate knowledge and practices regarding the collection and transport of sputum samples can lead to false-negative results and delay the diagnosis and treatment of TB. This study was conducted to assess the knowledge of residents and interns about the collection and transport of sputum and other samples for the diagnosis of tuberculosis in a medical college hospital. Methods This was a cross-sectional study conducted among 120 medical interns and postgraduate residents of a medical college hospital in coastal Karnataka, India. Participants were interviewed using a pre-designed and structured questionnaire. The data was analyzed using IBM Corp. Released 2015. IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp. Descriptive statistics like the mean, standard deviation, and chi-square test were used. A p-value less than 0.05 was considered statistically significant. Results Most of the study participants (76, 63.3%) belonged to the age group of 22 to 25 years and were interns. Nearly three-quarters of the participants (85, 70.8%) were female. Based on the mean score, 69.2% of the participants exhibited good knowledge. Among the socio-demographic characteristics, being a postgraduate resident was associated with good knowledge about the collection and transport of samples (p-value < 0.05). Conclusion Seven out of ten participants had good knowledge about the collection and transport of sputum and other samples for the diagnosis of tuberculosis. Strengthening the training of this category of health workers needs to be prioritized.

COVID-19 vaccine confidence project for perinatal women (CCPP)-Development of a stepped-care model to address COVID-19 vaccine hesitancy in low and middle-income countries.

Background: COVID-19 vaccine hesitancy (CVH) is common among perinatal women in low and middle-income countries (LMICs), but it is often unaddressed. This could be due to a lack of feasible, scalable, and acceptable interventions and models for CVH in LMICs. Our study aimed to develop a CVH intervention model that can be implemented in LMICs using existing human healthcare resources. Methods: A literature review was conducted on aspects of vaccine hesitancy, pre-existing interventions, and models for addressing vaccine hesitancy (COVID-19 and non-COVID-19). The lead authors (RR and PKuk) formed a team consisting of vaccinators, experts, and stakeholders. Members shared their perspectives and proposals for various models and interventions that could be implemented in LMICs. A CVH intervention model was developed using a logic model, a WHO implementation toolkit, experts' feedback, and consensus. Results: A consensus was reached to develop a COVID-19 Vaccine Confidence Project for Perinatal Women (CCPP), which is a primary health care worker (HCWs)-based stepped-care model. The CCPP model includes HCW training, integration into ongoing COVID-19 vaccination programs, CVH screening, CVH intervention, and referral services suitable for implementation in LMICs. Conclusion: The CCPP project/model provides a practical approach that can help in the early detection and management of CVH. The model can be tailored to different healthcare settings to improve COVID-19 vaccine uptake among perinatal women in LMICs.