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Sociodemographic Determinants of Willingness and Extent to Pay for COVID-19 Vaccine in India.
Kiran, Tanvi; Junaid, K P; Sharma, Divya; Jain, Lovely; Vij, Jatina; Satapathy, Prakasini; Chakrapani, Venkatesan; Patro, Binod Kumar; Kar, Sitanshu Sekhar; Singh, Ritesh; Pala, Star; Bali, Surya; Rustagi, Neeti; Goel, Kapil; Sankhe, Lalit; Modi, Bhavesh; Gupta, Madhu; Aggarwal, Arun Kumar; Rajagopal, Vineeth; Padhi, Bijaya Kumar.
Afiliación
  • Kiran T; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Junaid KP; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Sharma D; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Jain L; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Vij J; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Satapathy P; Department of Public Health, Utkal University, Bhubaneswar, India.
  • Chakrapani V; Centre for Sexuality and Health Research and Policy, Chennai, India.
  • Patro BK; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences Bhubaneswar, Bhubaneswar, India.
  • Kar SS; Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
  • Singh R; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Kalyani, India.
  • Pala S; North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, India.
  • Bali S; Department of Community and Family Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, India.
  • Rustagi N; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences Jodhpur, Jodhpur, India.
  • Goel K; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Sankhe L; Grant Medical College, Sir Jamshedjee Jeejeebhoy Group of Hospitals, Mumbai, India.
  • Modi B; Department of Community and Family Medicine, AIIMS-Rajkot, Gujarat, India.
  • Gupta M; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Aggarwal AK; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Rajagopal V; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Padhi BK; Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Front Public Health ; 10: 870880, 2022.
Article en En | MEDLINE | ID: mdl-35734756
Background: Responding to the fast transmission rates and increasing fatality rates, countries across the world expedited the development and deployment of the vaccine for coronavirus disease 2019 (COVID-19). Evaluation of individuals' willingness to pay (WTP) would provide pertinent information regarding future demand and financing preferences, which shall help to devise the effective payment strategy for COVID-19 vaccination. Methods: A nationwide, cross-sectional, and self-administered online survey using a structured questionnaire was conducted to identify the sociodemographic determinants of willingness and extent to pay for COVID-19 vaccine in India. A non-probability convenience sampling followed by snowball sampling was employed to recruit participants (n = 3,341). The likelihood of sociodemographic determinants to predict willingness and extent to pay was modeled using the multivariate binary logistic regression analysis. Results: Out of 3,341 participants, 68% (n = 2,271) were willingness to pay for COVID-19 vaccine. Results showed significantly higher odds for willingness to pay among participants who were single [adjusted odds ratio (aOR) = 1.394, p < 0.01] and having a family size of 4 members (aOR = 1.346, p < 0.01). The adjusted odds ratio sizably increased from 1.396 for participants whose monthly income was between INR 10,000 and 20,000/month to 2.240 for participants whose monthly income was above INR 50,000/month. Further, out of 2,271 of those participants who were willingness to pay for COVID-19 vaccine, majority (n = 1,246, 54.9%) of participants were willingness to pay below 50% of COVID-19 vaccine cost. This study found that those who are single (aOR = 0.688, p < 0.01), having an income between INR 20,000 and 50,000/month (aOR = 0.686, p < 0.05), and those who belonged to socially disadvantaged category (aOR = 0.450, p < 0.01) were estimated to have significantly lower odds of willingness to pay more than 50% of COVID-19 vaccine cost. Conclusion: This study observed that majority of those participants who willingness to pay for COVID-19 vaccine were willingness to pay only up to 50% of COVID-19 vaccine and income was observed as a precursor predictor of the willingness and extent to pay for COVID-19 vaccine. The understanding on the willingness and extent to pay for COVID-19 vaccine and its sociodemographic determinants will be helpful for making the strategic decisions related to the financing of COVID vaccine in India.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunas contra la COVID-19 / COVID-19 Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: Front Public Health Año: 2022 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunas contra la COVID-19 / COVID-19 Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: Front Public Health Año: 2022 Tipo del documento: Article País de afiliación: India