Binod Shrestha1, Dan J Green2, Manish Baidya1, Tim Chater3, Jiban Karki1,4, Andrew Ck Lee5, Seema Khadka1, Gerda Pohl1, Rudra Neupane1, Simon Rushton6. 1. PHASE Nepal, Suryabinayak 4, Bhaktapur, Nepal. 2. College of Health and Life Sciences, Aston University, B4 7ET, Birmingham, UK. d.green3@aston.ac.uk. 3. Liverpool Clinical Trials Centre, University of Liverpool, L69 3BX, Liverpool, UK. 4. International Public Health Department, Liverpool School of Tropical Medicine, L3 5QA, Liverpool, UK. 5. School of Health and Related Research (ScHARR), University of Sheffield, S1 4DA, Sheffield, UK. 6. Department of Politics and International Relations, University of Sheffield, S10 2TU, Sheffield, UK.
Abstract
BACKGROUND: Large inequalities in child health remain in Nepal, with caste, ethnicity and sex being major determinants of deprivation and negative outcomes. The purpose of this study was to explore whether key demographics of under 5s were associated with health seeking behaviours, utilisation of health care, and treatment received. METHODS: Data came from Integrated Management of Neonatal & Childhood Illness (IMNCI) records of 23 health centres across five districts. After digitising the paper records, the data was analysed by district, caste/ethnicity, sex, and age to investigate differences in the time taken to present at a health facility after the onset of symptoms of ARI, diarrhoea and fever; accuracy of diagnosis for pneumonia; and whether the correct treatment was prescribed for pneumonia as per IMNCI guidelines. RESULTS: From 116 register books spanning 23 health centres, 30,730 child patient records were considered for analysis. The median age of attendance was 18 months (Inter-Quartile Range = 10, 32), while were more male children that attended (55.7% vs. 44.3% for females). There were statistically significant differences for the time taken to attend a health centre between different districts for ARI, diarrhoea and fever, with children in the remote Humla and Mugu districts taking significantly longer to present at a health facility after the onset of symptoms (all p < 0.001, except Mugu for ARI days). Children from underprivileged ethnic groups, Madhesi and Dalit, were less likely to be given a correct diagnosis of pneumonia (p = 0.014), while males were more likely to receive a correct diagnosis than females (73% vs. 67%, p = 0.001). This sex difference remained in the adjusted regression models for diagnosis of pneumonia (p < 0.001) but not for treatment of pneumonia (p = 0.628). All districts, in comparison to Gorkha, had increased odds of correct diagnosis and treatment of pneumonia, but only significant in children from Mugu after adjustment (p ≤ 0.001). CONCLUSION: Significant demographic differences were found based on ethnicity, sex, and district when examining health seeking behaviours for ARI, diarrhoea, and fever. Significant associations were seen for these same factors when exploring accuracy of diagnoses of pneumonia, but not for treatment. This study has emphasised the importance of a digitalised healthcare system, where inequalities can be identified without the reliance on anecdotal evidence.
BACKGROUND: Large inequalities in child health remain in Nepal, with caste, ethnicity and sex being major determinants of deprivation and negative outcomes. The purpose of this study was to explore whether key demographics of under 5s were associated with health seeking behaviours, utilisation of health care, and treatment received. METHODS: Data came from Integrated Management of Neonatal & Childhood Illness (IMNCI) records of 23 health centres across five districts. After digitising the paper records, the data was analysed by district, caste/ethnicity, sex, and age to investigate differences in the time taken to present at a health facility after the onset of symptoms of ARI, diarrhoea and fever; accuracy of diagnosis for pneumonia; and whether the correct treatment was prescribed for pneumonia as per IMNCI guidelines. RESULTS: From 116 register books spanning 23 health centres, 30,730 child patient records were considered for analysis. The median age of attendance was 18 months (Inter-Quartile Range = 10, 32), while were more male children that attended (55.7% vs. 44.3% for females). There were statistically significant differences for the time taken to attend a health centre between different districts for ARI, diarrhoea and fever, with children in the remote Humla and Mugu districts taking significantly longer to present at a health facility after the onset of symptoms (all p < 0.001, except Mugu for ARI days). Children from underprivileged ethnic groups, Madhesi and Dalit, were less likely to be given a correct diagnosis of pneumonia (p = 0.014), while males were more likely to receive a correct diagnosis than females (73% vs. 67%, p = 0.001). This sex difference remained in the adjusted regression models for diagnosis of pneumonia (p < 0.001) but not for treatment of pneumonia (p = 0.628). All districts, in comparison to Gorkha, had increased odds of correct diagnosis and treatment of pneumonia, but only significant in children from Mugu after adjustment (p ≤ 0.001). CONCLUSION: Significant demographic differences were found based on ethnicity, sex, and district when examining health seeking behaviours for ARI, diarrhoea, and fever. Significant associations were seen for these same factors when exploring accuracy of diagnoses of pneumonia, but not for treatment. This study has emphasised the importance of a digitalised healthcare system, where inequalities can be identified without the reliance on anecdotal evidence.