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Background: Standard treatment workflows (STWs) indeed play a crucial role in enhancing healthcare delivery by providing structured guidelines for managing prevalent diseases. These guidelines are particularly beneficial in primary and secondary healthcare settings, where they help standardize treatment protocols, streamline referrals, and ultimately improve healthcare efficiency. Methods: Indian Council of Medical Research, in collaboration with the National Health Authority and the World Health Organisation India country office developed the STWs. The broad medical specialities were identified and speciality expert groups each of 5–12 experienced members led by an eminent chairperson were constituted. Priority disease conditions were identified and the speciality experts deliberated on the evidence available for various recommendations and developed the content for the STW. These were then converted to a one-pager infographic. The draft STWs were reviewed by relevant experts for internal and external validation of content. Results: 125 STWs in 23 specialties have been developed. Conclusion: STWs are one-page summaries of clinical guidelines designed to improve healthcare delivery in India. Training healthcare profesionals and collaboration with medical bodies are crucial for successful implementation. This can ensure standardized, evidence-based care throughout India's healthcare system.

Summary: Background: India has seen more than 43 million confirmed cases of COVID-19 as of April 2022, with a recovery rate of 98.8%, resulting in a large section of the population including the healthcare workers (HCWs), susceptible to develop post COVID sequelae. This study was carried out to assess the nature and prevalence of medical sequelae following COVID-19 infection, and risk factors, if any. Methods: This was an observational, multicenter cross-sectional study conducted at eight tertiary care centers. The consenting participants were HCWs between 12 and 52 weeks post discharge after COVID-19 infection. Data on demographics, medical history, clinical features of COVID-19 and various symptoms of COVID sequelae was collected through specific questionnaire. Finding: Mean age of the 679 eligible participants was 31.49 ± 9.54 years. The overall prevalence of COVID sequelae was 30.34%, with fatigue (11.5%) being the most common followed by insomnia (8.5%), difficulty in breathing during activity (6%) and pain in joints (5%). The odds of having any sequelae were significantly higher among participants who had moderate to severe COVID-19 (OR 6.51; 95% CI 3.46–12.23) and lower among males (OR 0.55; 95% CI 0.39–0.76). Besides these, other predictors for having sequelae were age (≥45 years), presence of any comorbidity (especially hypertension and asthma), category of HCW (non-doctors vs doctors) and hospitalisation due to COVID-19. Interpretation: Approximately one-third of the participants experienced COVID sequelae. Severity of COVID illness, female gender, advanced age, co-morbidity were significant risk factors for COVID sequelae. Funding: This work is a part of Indian Council for Medical Research (ICMR)- Rational Use of Medicines network. No additional financial support was received from ICMR to carry out the work, for study materials, medical writing, and APC.