Feasibility of implementing public-private mix approach for tuberculosis case management in Pokhara Metropolitan City of western Nepal: a qualitative study.

Background: The Public-Private Mix (PPM) approach is a strategic initiative that involves engaging all private and public health care providers in the fight against tuberculosis using international health care standards. For tuberculosis control in Nepal, the PPM approach could be a milestone. This study aimed to explore the barriers to a public-private mix approach in the management of tuberculosis cases in Nepal. Methods: We conducted key informant interviews with 20 participants, 14 of whom were from private clinics, polyclinics, and hospitals where the PPM approach was used, two from government hospitals, and four from policymakers. All data were audio-recorded, transcribed, and translated into English. The transcripts of the interviews were manually organized, and themes were generated and categorized into 1. TB case detection, 2. patient-related barriers, and 3. health-system-related barriers. Results: A total of 20 respondents participated in the study. Barriers to PPM were identified into following three themes: (1) Obstacles related to TB case detection, (2) Obstacles related to patients, and (3) Obstacles related to health-care system. PPM implementation was challenged by following sub-themes that included staff turnover, low private sector participation in workshops, a lack of trainings, poor recording and reporting, insufficient joint monitoring and supervision, poor financial benefit, lack of coordination and collaboration, and non-supportive TB-related policies and strategies. Conclusion: Government stakeholders can significantly benefit by applying a proactive role working with the private in monitoring and supervision. The joint efforts with private sector can then enable all stakeholders to follow the government policy, practice and protocols in case finding, holding and other preventive approaches. Future research are essential in exploring how PPM could be optimized.

Demographic Profile and Outcome of Pediatric Intensive Care Unit.

BACKGROUND: Pediatric intensive care provides better observation as well as an intensive treatment, which helps to cure, support, and provide better outcomes for sick children. This study aimed to describe the demographic profile and the outcome of PICU patients, and evaluate the relationship of diagnostic categories with treatment and outcome. METHODS: This retrospective cross-sectional study was conducted in a six-bedded PICU from 1 March 2021 to 1 March 2022. Bivariate analysis was used to identify the association between dependent and independent variables. RESULTS: The infants admitted below 6 months of age were 63 (22.3%) and had male predominance accounting for 64%. The main portal of entry of the admitted cases was emergency ward 214(75.6%). Most of the patients 153(54.1%) were admitted for intensive monitoring of their abnormal vitals along with critical care according to our PICU protocol. Respiratory illness 122(43.1%), neurosurgical illness 59(20.8%), and primary infectious disease 52(18.3%) were the common reason for PICU admission. Post-major surgery 2(66.7%), hematological illness 3(37.5%), and cardiac disorders 1(20%) had high mortality rates. Among the portal of admission, the majority of the children (80.0 %) who were admitted to the PICU through the emergency ward died before exiting from the PICU (p<0.0001). CONCLUSIONS: Respiratory illness was the most common cause of admission and post-major surgery had the highest mortality rate. Portal of entry was statistically associated with patient characteristics and had a significant relationship with the outcome. Similar studies in other health institutions are required to further analyze the demographic profile and outcome of pediatric critical care in Nepal.

The socio-economic determinants of infant mortality in Nepal: analysis of Nepal Demographic Health Survey, 2011.

BACKGROUND: Infant mortality reflects not only the health of infants but societal well-being as a whole. This study explores distal socioeconomic and related proximate determinants of infant mortality and provides evidence for designing targeted interventions. METHODS: Survival information on 5391 live born infants (2006-2010) was examined from the nationally representative Nepal Demographic Health Survey 2011. Bivariate logistic regression and multivariate hierarchical logistic regression approaches were performed to analyze the distal-socioeconomic and related proximate determinants of infant mortality. RESULTS: Socio-economic distal determinants are important predictors for infant mortality. For example, in reference to infants of the richest class, the adjusted odds ratio of infant mortality was 1.66 (95% CI: 1.00-2.74) in middle class and 1.87 (95% CI: 1.14-3.08) in poorer class, respectively. Similarly, the populations of the Mountain ecological region had a higher odds ratio (aOR =1.39, 95% CI: 0.90-2.16) of experiencing infant mortality compared with the populations of the Terai plain region. Likewise, the population of Far-western development region had a higher adjusted odds ratio (aOR =1.62, 95% CI: 1.02-2.57) of experiencing infant mortality than the Western development region. Moreover, the association of proximate determinants with infant mortality was statistically significant. For example, in reference to size at birth, adjusted odds ratio of infant dying was higher for infants whose birth size, as reported by mothers, was very small (aOR = 3.41, 95% CI: 2.16-5.38) than whose birth size was average. Similarly, fourth or higher birth rank infants with a short preceding birth interval (less than or equal to 2 years) were at greater risk of dying (aOR =1.74, 95% CI: 1.16-2.62) compared to the second or third rank infants with longer birth intervals. A short birth interval of the second or the third rank infants also increased the odds of infant death (aOR = 2.03, 95% CI: 1.23-3.35). CONCLUSIONS: Socioeconomic distal and proximate determinants are associated with infant mortality in Nepal. Infant mortality was higher in the poor and middle classes than the wealthier classes. Population of Mountain ecological region and Far western development region had high risk of infant mortality. Similarly, infant dying was higher for infants whose birth size, as reported by mothers, was very small and who has higher birth rank and short preceding birth interval. This study uniquely addresses both broader socioeconomic distal and proximate determinants side by side at the individual, household and community levels. For this, both comprehensive, long-term, equity-based public health interventions and immediate infant care programs are recommended.