User satisfaction with the National Health Insurance Program: A community-based survey from the Ilam district of Nepal.

BACKGROUND: The Government of Nepal initiated a family-based National Health Insurance Program (NHIP) in April 2016, aiming to ensure universal health coverage (UHC) by enhancing access to and utilization of quality health services. However, NHIP, in its initial years of implementation, encountered challenges such as low population coverage, a high dropout rate, and concerns among the insured regarding the quality of healthcare services. There is a dearth of information regarding user satisfaction with the NHIP in Nepal. This study aimed to assess user satisfaction with NHIP at the household level in Nepal. METHODS: We conducted a cross-sectional study among 347 households in the Ilam district using a multi-stage random sampling method. Face-to-face interviews were conducted with household heads enrolled in NHIP. A semi-structured questionnaire was used to collect the data. The multivariable logistic regression analysis was done to identify the predictors of satisfaction level. RESULTS: Overall, 53.6% of the insured were satisfied with the NHIP, while 31.1% had comprehensive knowledge about the NHIP. Factors such as gender (AOR: 1.80, 95% CI: 1.08-3.00), distance to the first point of contact (AOR: 2.15, 95% CI: 1.24-3.74), waiting time (AOR: 2.02, 95% CI: 1.20-3.42), availability of diagnostic services (AOR: 1.90, 95% CI: 1.05-3.45), availability of prescribed medicine (AOR: 3.90, 95% CI: 1.97-7.69), perceived service quality (AOR: 2.20, 95% CI: 1.15-4.20), and the behavior of service providers (AOR: 3.48, 95% CI: 1.04-11.63) were significantly associated with user satisfaction. CONCLUSION: The satisfaction level among NHIP users was deemed moderate. This study highlighted several factors, such as gender, distance to the first point of contact, waiting time, availability of diagnostic services and prescribed medicine, perceived service quality, and the behavior of service providers, as key determinants impacting user satisfaction. Recognizing the pivotal role of user satisfaction, health insurance stakeholders must prioritize it to ensure higher retention rates and coverage within NHIP.

Modifiable Risk Factors for Major Non-communicable Diseases Among Medical Students in Nepal.

The objective of this study was to assess the prevalence of modifiable risk factors of the major non-communicable diseases (NCDs) among medical students. A cross sectional study was conducted at three randomly selected medical colleges in the Kathmandu Valley in Nepal. All third-year medical students (n = 191) participated in the study. A total of 62.3% of the respondents were male, and 37.7% were female. The mean age of the respondents was 21.5 ± 1.0 (SD) years. A total of 20.4% (n = 39) of the medical students were current tobacco users and 50.8% (n = 97) have ever consumed alcohol. The majority (85.6%) of the medical students did not consume the daily recommended amount of fruits and vegetables. A total of 30.9% (n = 59) of the medical students were involved in low level of physical activity and 42.9% (n = 82) were involved in moderate level of physical activity. This study showed a high prevalence of risk factors of major NCDs among medical students and interventions are needed to change the unhealthy behaviour of medical students being role models in society.

Gender differences and clustering of modifiable risk factors of non-communicable diseases among medical students: a cross sectional study in Nepal.

The objective of the study was to explore gender differences in the risk factors of non-communicable diseases among medical students in Nepal. We randomly selected two private and one government medical college located in Kathmandu Valley. All the third year medical students (n = 191) from these selected colleges were requested to participate in an anonymous cross sectional survey. We gathered information about different risk factors for non-communicable diseases including smoking and drinking habits, physical activity and fruit and vegetable consumption. We identified significant gender differences in the clustering of modifiable risk factors among our study population (p value = 0.032). Logistic regression model showed that male and female medical students were significantly different in terms of smoking status [aOR = 4.12, 95 % confidence interval (CI) 1.57; 10.85] and high level of physical activity (aOR = 4.50, 95 % CI 1.80; 11.21). Male medical students should be targeted in future behavioral interventions for smoking cessation, while physical activity among female medical students needs to be promoted.