PURPOSE: Continuing professional development is essential for improving health care services, especially in developing countries. Most of the training programs in Mongolia were not based on a targeted needs assessment. Therefore, we aimed to apply a mixed methods design to assess the training needs of Mongolian health professions. METHODS: We conducted a needs assessment using a convergent parallel mixed methods design in two steps. The survey and interview questions were developed to identify priority areas, targeted trainees, and effective training methods. A survey on 60 respondents, 15 individual interviews, and a focus group interview with 14 participants were conducted in the first step. In the second step, 12 representatives of key stakeholders were invited to a second focus group interview. RESULTS: Current health policy areas, areas related to future national plans, and areas not currently receiving governmental or international support were suggested as the main priorities. The stakeholder suggested that trainees should be selected based on their professional experience and language level, as well as each hospital’s needs. Building teams including various professions, such as nurses, technicians, and biomedical engineers, was recommended as a way to exchange ideas with each other and to build teamwork for future collaboration. CONCLUSION: Medical training needs are dynamic and complex; therefore, a deep understanding of the context and setting is necessary. In this study, we assessed the targeted training needs of Mongolian health professions through a mixed methods design, which could be an effective way to conduct needs assessments for training programs.
Cooperative Behavior ; Delivery of Health Care ; Developing Countries ; Education ; Fellowships and Scholarships ; Focus Groups ; Health Occupations ; Health Policy ; Methods ; Mongolia ; Needs Assessment ; Surveys and Questionnaires

Purpose: Due to the shortage in the healthcare workforce, insufficient qualifications, a lack of infrastructure and limited resources in Mongolia, it is not always possible for healthcare workers in rural areas who wish to attend continuous training and retraining courses to do so. However, in order to provide high-quality care, the demand for distance learning and the upgrading of knowledge and practice of many medical topics (especially related to morbidity and mortality) are necessary for the rural population. This study aimed to assess the needs of e-learning medical education, of graduates in Mongolia. Methods: A cross-sectional research design was implemented. We collected data from 1,221 healthcare professionals (nursing professionals, physicians, midwives, and feldshers) who were randomly selected from 69 government hospitals in Mongolia. Data were collected using self-assessment questionnaires which captured the needs assessment in a survey for online continuous medical education in Mongolia. Data were analyzed using descriptive statistics and Kruskal-Wallis statistical test. Results: Ninety percent of the respondents reported that they plan on attending online continuous medical education with the most preferred specialty area being emergency medicine. Results using the Kruskal-Wallis statistical technique suggested the preferred specialty area, educational content, appropriate time schedule, available devices, and tools were statistically significant and were different between the nursing professionals, physicians, midwives, and feldshers (p<0.05). Conclusion Findings provide important evidence for the implementation of measures and strategies which can assist healthcare professionals in low and middle-income areas/countries to constructively address their need for enhanced knowledge and practice through distance learning.

PURPOSE: Continuing professional development is essential for improving health care services, especially in developing countries. Most of the training programs in Mongolia were not based on a targeted needs assessment. Therefore, we aimed to apply a mixed methods design to assess the training needs of Mongolian health professions. METHODS: We conducted a needs assessment using a convergent parallel mixed methods design in two steps. The survey and interview questions were developed to identify priority areas, targeted trainees, and effective training methods. A survey on 60 respondents, 15 individual interviews, and a focus group interview with 14 participants were conducted in the first step. In the second step, 12 representatives of key stakeholders were invited to a second focus group interview. RESULTS: Current health policy areas, areas related to future national plans, and areas not currently receiving governmental or international support were suggested as the main priorities. The stakeholder suggested that trainees should be selected based on their professional experience and language level, as well as each hospital’s needs. Building teams including various professions, such as nurses, technicians, and biomedical engineers, was recommended as a way to exchange ideas with each other and to build teamwork for future collaboration. CONCLUSION Medical training needs are dynamic and complex; therefore, a deep understanding of the context and setting is necessary. In this study, we assessed the targeted training needs of Mongolian health professions through a mixed methods design, which could be an effective way to conduct needs assessments for training programs.

Background: Mining is a major source of income, economic benefits, and job creation; however, it remains one of the most hazardous occupations in terms of health. Physically demanding, labor-intensive, hot, humid, noisy, and dusty work environments have a negative impact on the physical and psychological health of mine workers. Several factors, including age, gender, years of service, workload, stress, and fatigue, can affect sleep quality. Lack of sleep can lead to poor concentration, reduced alertness, impaired decision-making, and an increased risk of workplace injuries. While many studies have explored sleep quality and its risk factors in the general population, few have focused specifically on miners. This gap is the primary motivation for conducting the present study. Aim: To examine the risk factors affecting the sleep quality of dayshift workers at Baganuur Joint Stock Company. Materials and Methods: This cross-sectional study included 129 day-shift workers from Baganuur Joint Stock Company and was conducted between October and November 2023. Sleep quality was assessed using the 19-item Pittsburgh Sleep Quality Index (PSQI) questionnaire. Data were analyzed using SPSS version 26.0, with statistical significance set at p < 0.05. Results: Among the study participants, 86% (n = 111) were male. A total of 58.9% had been employed for less than 10 years, and 86% were always on call during non-working hours. Overall, 51.2% of the participants had poor sleep quality. Female gender (55.0%, p = 0.032) and being always on call during non-working hours (93.9%, p = 0.008) were significantly associated with poor sleep quality. Logistic regression analysis revealed that being female increased the risk of poor sleep quality (OR = 0.315, 95% CI = 0.105–0.944, p = 0.039). Conclusions 1. The majority of participants (51.2%) reported poor sleep quality, 2. Gender and being on call during non-working hours were significantly associated with reduced sleep quality among day-shift miners.