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Economic Burden of Acute Stroke Care in Beneficiaries and Non-Beneficiaries under Social Security Schemes at Tertiary Care Hospitals of Western Rajasthan.
Goswami, Divya; Singh, Kuldeep; Bhardwaj, Pankaj; Panda, Samhita; Goel, Akhil; Joshi, Nitin; Khichar, Subhkaran; Puri, Inder.
Afiliação
  • Goswami D; Department of School of Public Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
  • Singh K; Department of School of Public Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
  • Bhardwaj P; Department of School of Public Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
  • Panda S; Department of Neurology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
  • Goel A; Department of School of Public Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
  • Joshi N; Department of School of Public Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
  • Khichar S; Department of Neurology, Dr Sampuranand Medical College, Jodhpur, Rajasthan, India.
  • Puri I; Department of Neurology, Dr Sampuranand Medical College, Jodhpur, Rajasthan, India.
Ann Indian Acad Neurol ; 23(5): 661-665, 2020.
Article em En | MEDLINE | ID: mdl-33623268
OBJECTIVE: A cost of illness study was conducted with aims to asses various cost of acute stroke care and its determinants among beneficiary (patients enrolled in any social security scheme) and non beneficiary (patients not enrolled in any social security scheme) of various social security schemes. METHOD: A cross-sectional study was conducted at government hospitals in western Rajasthan from March to May 2019. All consecutive stroke patients were enrolled during study period. Data related to socio-demographic, disease-related and cost-related data was collected by direct patient and main caregiver's interview. Primary study outcome was description of direct and indirect cost of acute stroke care among beneficiary and non beneficiary patients. Secondary outcome was description of determinants of cost or significant cost-driven variables. RESULTS: Total of 126 stroke patients were enrolled in 3 months. Mean age was 57.67 ± 15.0 and male: female ratio was 82:44. Both beneficiary and non-beneficiary patients were similar in baseline characteristic except monthly income (P < 0.01) Mean hospital stay was 6.52 ± 2.23 Total out of pocket direct cost among beneficiary was INR 12727.21 [95% C.I. 8658.50, 16795.92] and among non beneficiary was INR 23649.68 [95%C.I. 18591.37, 28707.99]. There was significant difference indirect cost of beneficiary and non-beneficiary patients (P < 0.01). Mean Indirect cost (wages loss) among beneficiary was INR 12414.75 [95% C.I. 9691.13, 15138.37] and among non-beneficiary was INR 16460 [95% C.I. 13044.81, 19875.19]. There was no significant difference in Indirect cost of beneficiary and non-beneficiary patients (P = 0.06). Monthly income, stroke severity (modified Rankin score) and hospital stay were significant direct cost determinants. CONCLUSION: Public health insurance scheme reduces direct cost of acute stroke care significantly. Severity of stroke and prolonged hospital stay were main cost-driven variables.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Observational_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Observational_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article