Household Characteristics, Cost of Illness and Coping Mechanism of Families of Hospitalized Acute Encephalitis Syndrome Children: A Mix Method Study
DOI:
https://doi.org/10.55489/njcm.140120232533Keywords:
AES, Cost of illness, Family, Mixed method approach, Household characteristicsAbstract
Background: AES is responsible for causing high social and economic burden to the affected families. The study was conducted to know the household characteristics, cost of illness and coping strategy adopted by the family members of AES children admitted to a tertiary care facility in Assam, India.
Methods: It was a sequential exploratory mixed method study, with a cross-sectional survey among AES children and their guardians, followed by In Depth interview.
Results: Out of 51 cases 55% were male. The median age was 11 years. 53% of the families belonged to lower socioeconomic class. 96% of families reported to reside in rural areas. Commonly reported household assets were mobile phone 94%, bicycle 86%, television 31% and motorcycle 29%. Three major themes were emerged to contribute towards economic burden. The first major theme is “Direct cost” due to patient transportation cost (mean Rs 1161.00) and hospital costs: mostly due to medicinal cost (mean Rs1955.00), investigational cost (mean Rs 2920.00) and food cost (mean Rs 8375.00). The second theme “Indirect cost” is due to work days loss: 100% care providers had missed work days during hospital stay of their children and 84% had missed work days during post hospital care. The third theme is “Inherent cost spotted through coping mechanisms” which mostly 94% included borrowing money from the market and 31.4% selling household assets.
Conclusion: Cost of illness is a huge burden to the AES afflicted families which demands reforms in health care financing and reimbursement in current context.
References
Griffiths MJ, Lemon JV, Rayamajhi A, Poudel P, Shrestha P, Srivastav V, et al. The Functional, Social and Economic Impact of Acute En-cephalitis Syndrome in Nepal - a Longitudinal Follow-Up Study. PLoSNegl Trop Dis. 2013; 7(9): e2383. Doi: https://doi.org/10.1371/journal.pntd.0002383 PMid:24069467 PMCid:PMC3772013
Bhattacharjee C , Bhowmik D. Acute Encephalitis Syndrome- The Socio-economic Burden in India. Pharmaceutical and Biosciences Journal. 2019; 7(3): 18-23.https://www.researchgate.net/publication/335174672. Doi: https://doi.org/10.20510/ukjpb/7/i3/185554
Solomon T, Thao T T, Lewthwaite P, Ooi M H, Kneen R, Dung N M.et al. A cohort study to assess the new WHO Japanese Encephalitis surveillance standards. Bulletin of World Health Organization, 2008; 86: 178-86. https://pubmed.ncbi.nlm.nih.gov/18368204/. Doi: https://doi.org/10.2471/BLT.07.043307 PMid:18368204 PMCid:PMC2647413
Kik SV, Olthof S PJ, de Vries J TN, Menzies D, Kincler N, van Loenhout-Rooyakkers J et al. Direct and indirect costs of tuberculosis among immigrant patients in the Netherlands. BMC Public Health. 2009;9:283. Doi: https://doi.org/10.1186/1471-2458-9-283 PMid:19656370 PMCid:PMC2734849
Tarricone R. Cost-of-illness analysis What room in health economics? Health Policy .2006 July; 77(1) :51-63. https://pubmed.ncbi.nlm.nih.gov/16139925/ Doi: https://doi.org/10.1016/j.healthpol.2005.07.016 PMid:16139925
Dongre A, Deshmukh P. Notion Press Media Pvt Ltd. Practical guide; Qualitative methods in Health and Educational Research. 1st Edi-tion. India; 2021, P 121-50.
SahaI , Paul B. Academic Publishers. Essentials of Biostatistics and Research Methodology .3rd Edition, India 2021, P 202-3.
Isaac Dambula and Ephraim N.B. Chibwana. Characteristics of Households and Household Members. Chapter 2, pp 9-24.
Factly. Available at: https://factly.in/what-is-the-state-of-emergency-ambulance-services-in-india/https://factly.in/what-is-the-state-of-emergency-ambulance-services-in-india/
Adhikari SR, Maskay NM, Sharma BP. Paying for hospital-based care of Kala-Azar in Nepal:assessing catastrophic, impoverishment and economic consequences. Health Policy and Planning. 2009 ;24:129-39. Doi: https://doi.org/10.1093/heapol/czn052 PMid:19181674
Miedema B, Easley J, Fortin P, Hamilton R, Mathews M. The economic impact on families when a child is diagnosed with cancer. Cur-rent Oncology .2008; 15(4):173-78. Doi: https://doi.org/10.3747/co.v15i4.260 PMid:18769610 PMCid:PMC2528308
Verma A, Tripathi P, Rai N, Basu A, Jain A, Atam V.et al. Long -Term Outcomes and Socioeconomic Impact of Japanese Encephalitis and Acute Encephalitis Syndrome in Uttar Pradesh, India. International Journal of Infection.2017 October;4(4):e15607. Doi: https://doi.org/10.5812/iji.15607
Dockerty JD, Skegg DCG, Williams SM. Economic effects of childhood cancer on families. J Paediatr Child Health. 2003; 39: 254-58. Doi: https://doi.org/10.1046/j.1440-1754.2003.00138.x PMid:12755929
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