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Background: The present study was conducted to estimate the prevalence and distribution of MSDs in different anatomical regions among Doctors and NO and to determine their ergonomic risk factors and predictors. Methods: This cross-sectional study was conducted in an apex institution in Western India. The socio-demographic information, medical and occupational history, and other personal and work-related attributes were captured using a semi-structured questionnaire, which was developed and finalized by piloting on 32 participants (who were not part of the study). Nordic Musculoskeletal and International Physical Activity Questionnaires were used to assess MSDs and Physical activity. Data were analyzed using SPSS v.23. Prevalence of Musculoskeletal Symptoms (M.S.), Multisite Musculoskeletal Symptoms (MMS), and Widespread Musculoskeletal Symptoms (WMS) were calculated. A comparison was made to estimate the burden and distribution of MSD among Doctors and Nursing officers. Logistic regression was applied to identify the predictors of MSDs and pinpoint the risk factors associated with MSDs. Results: A total of 310 participants, of which 38.7% were doctors, and 61.3% were Nursing Officers (NOs) were included in the study. The mean age of the respondents was 31.63 ± 4.9 years. Almost 73% (95%CI: 67.9–78.1) of participants had MSD in the last 12 months, with approximately 41.6% (95%CI: 36.1–47.3) suffering from MSDs in the previous seven days of the survey. The lower back (49.7%) and the neck (36.5%) were the most affected sites. Working in the same position for a long time (43.5%) and not taking adequate breaks (31.3%) were the highest self-reported risk factors. Females had significantly higher odds of having pain in the upper back [aOR:2.49(1.27–4.85)], neck [aOR:2.15(1.22–3.77)], shoulder [aOR:2.8 (1.54–5.11)], hips [aOR:9.46 (3.95–22.68)] and knee [aOR:3.8(1.99–7.26)]. Conclusions: Females, who are NOs, work for > 48 h per week, and fall in the obese category were significantly at more risk of developing MSDs. Working in an awkward position, treating an excessive number of patients in a day, working in the same position for a long period, performing repeated tasks, and not having enough rest breaks were significant risk factors for MSDs. [ABSTRACT FROM AUTHOR]

Background: Government of Rajasthan has undertaken a series of e‑Health initiatives, especially under various programs of National Health Mission in the past few years. There is a paucity of studies which document and provide appraisal of these initiatives in Rajasthan. Aim: To document ongoing e‑Health Initiatives based on technologies and approaches used, coverage by the region and population, services provided and scope. Materials and Methods: Primary data collection in form of key‑informant interviews while secondary data collection in form of internet‑based search of peer and non‑peer reviewed literature was conducted to achieve the study objectives. Appropriate documents, records, and reports were reviewed to ensure that all necessary information was obtained. Results: A total of 13 e‑Health initiatives were included in the study. The e‑Health programs were classified with the use of WHO’s classification of Digital Health Interventions v1.0. Most of the initiatives perceived in the study were found to be beneficial to the community, covering the entire population targeted. Supporting agencies, technologies used, and challenges faced during the implementation were identified and documented. Lack of trained manpower, technical and software glitches and deficiency of awareness activities were few obstacles that were found consistent across all user groups. Conclusions: The overview from this study augmented the knowledge about further scopes and sustainability of these initiatives. Deploying dedicated professionals may improve the functioning of these initiatives. Since e‑Health interventions significantly influence healthcare systems, further scale‑up of such studies with appropriate evaluation should be planned to guide policy decisions. [ABSTRACT FROM AUTHOR]