| Literature DB >> 35062720 |
Sathyanarayana Tamysetty1, Giridhara R Babu1, Biswamitra Sahu1, Suresh Shapeti1, Deepa Ravi1, Eunice Lobo1, Chinnu Sara Varughese2, Amita Bhide3, Avinash Madhale3, Mukta Manyal3, Mahesh Kamble3, Asokananda Konar4, Pabak Sarkar4, Dipesh Kumar Das4, Partha Sarathi Mukherjee4, Kultar Singh5, Ankur Singh Chauhan5, Aditya Naskar5, Rajesh Bhatia6, Sonalini Khetrapal6.
Abstract
There are limited studies on COVID vaccine confidence at the household level in urban slums, which are at high risk of COVID-19 transmission due to overcrowding and poor living conditions. The objective was to understand the reasons influencing COVID-19 vaccine confidence, in terms of barriers and enablers faced by communities in urban slums and informal settlements in four major metro cities in India. A mixed method approach was adopted, where in field studies were conducted during April-May 2021. First, a survey of at least 50 subjects was conducted among residents of informal urban settlements who had not taken any dose of the COVID-19 vaccine in Mumbai, Bengaluru, Kolkata and Delhi; second, a short interview with five subjects who had taken at least one dose of the vaccine in each of the four cities to understand the factors that contributed to positive behaviour and, finally, an in-depth interview of at least 3 key informants in each city to ascertain the vaccination pattern in the communities. The reasons were grouped under contextual, individual/group and vaccine/vaccination specific issues. The most frequent reason (27.7%) was the uncertainty of getting the vaccine. The findings show the need for increasing effectiveness of awareness campaigns, accessibility and the convenience of vaccination, especially among vulnerable groups, to increase the uptake.Entities:
Keywords: COVID-19; urban slum; vaccine confidence
Year: 2021 PMID: 35062720 PMCID: PMC8781952 DOI: 10.3390/vaccines10010060
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Vaccine confidence measurement model.
| Contextual Influences | Influences Arising due to Historic, Socio-Cultural, Environmental, Health System/Institutional, Economic or Political Factors |
| Individual and group influences | Personal perception of the vaccine influences of the social/peer environment |
| Vaccine/vaccination specific issues | Directly related to vaccine or vaccination |
Source: [6].
Showing study locations.
| City | Study Area | Partner |
|---|---|---|
| Bengaluru | Vijinapuram Slum | Public Health Foundation of India, Bengaluru, India |
| Delhi | Madanpur Khadar JJ Colony, Nizamuddin Basti slum area and Pochanpur Village, Dwarka | Sambodhi Research & Communications Pvt Ltd. Noida, India |
| Kolkatta | Borough 12 of Kolkata Municipal Corporation, (southern part) | Liver Foundation = West Bengal, Kolkata, India |
| Mumbai | Ward M-East, Mumbai Municipal Corporation | Tata Institute for Social Sciences, Mumbai, India |
Socio demographic profile of in-depth interview of community members from Mumbai, Bengaluru, Kolkata and Delhi.
| Location | Mumbai ( | Bengaluru ( | Kolkata ( | Delhi ( |
|---|---|---|---|---|
| Age in years range | 52–80 years (5) | 51–68 (5) | 51–85 (5) | 49–61 (5) |
| Sex | Male (2) | Male (3) | Male (3) | Male (1) |
| Female (3) | Female (2) | Female (2) | Female (4) | |
| Religion | Hindu (5) | Hindu (4) | Hindu (4) | Hindu (5) |
| Muslim (0) | Muslim (1) | Muslim (1) | Muslim (0) | |
| Education in years (range) | No formal education (3) | No formal education (0) | No formal education (4) | No formal education (3) |
| <9 years (0) | <9 years (4) | <9 years (0) | <9 years (2) | |
| 10–12 (2) | 10–12 (1) | 10–12 (0) | 10–12 (0) | |
| >12 years of education (0) | >12 years of education (0) | >12 years of education (1) | >12 years of education (0) | |
| Vaccination status | Yes (5) | Yes (5) | Yes (5) | Yes (5) |
Key-informant interview participants profile from Mumbai, Bengaluru, Kolkata and Delhi.
| Location | Mumbai ( | Bengaluru ( | Kolkata ( | Delhi ( |
|---|---|---|---|---|
| Age (range) | 29–60 (3) | 44–55 (6) | 38–47 (3) | 23–37 (3) |
| Sex | Male (3) | Male (4) | Male (1) | Male (1) |
| Female (0) | Female (2) | Female (2) | Female (2) | |
| Designation | District level officers (3) | District level officers (5) | District level officer (1) | Health officers (2) |
| NGO (2) | Clinicians (1) | NGO (1) | NGO (1) | |
| Volunteer (1) | ||||
| Experience | <5 years (1) | <5 years (0) | <5 years (1) | <5 years (2) |
| 6–20 (0) | 6–20 (6) | 6–20 (2) | 6–20 (1) | |
| >21 years (2) | >21 years (0) | >21 years (0) |
Socio-demographic profile of the survey study participants.
| Serial Number | Demographic and Socio-Economic Profile | Percentage |
|---|---|---|
| 1 | Age | |
| 45–50 | 42 (125) | |
| 51–55 | 17 (50) | |
| 56–60 | 14 (40) | |
| >60 | 27 (81) | |
| 2 | Gender | |
| Female | 57 (169) | |
| Male | 43 (127) | |
| 3 | Employment status | |
| Unemployed | 53.4 (158) | |
| Employed | 48 (138) | |
| 4 | Monthly family income | |
| <20,000 | 73 (214) | |
| >20,000 | 27 (82) |
Percentage distribution of Age and Sex with trust over vaccine.
| Respondent’s Profile | Trust on Vaccine (%) | ||
|---|---|---|---|
| Sex | Yes | No | |
| Male | 46.2 | 53.8 | 0.237 |
| Female | 43.3 | 56.7 | |
| Age (in years) | |||
| 45–50 | 43.2 | 56.8 | 0.336 |
| 51–55 | 46.0 | 54.0 | |
| 56–60 | 42.5 | 57.5 | |
| 61–65 | 32.4 | 67.6 | |
| 66–70 | 63.0 | 37.0 | |
| 71–80 | 55.6 | 44.4 | |
| 80+ | 50.0 | 50.0 | |
Showing major reasons that influence vaccination acceptance.
| S No | Reason | Reasons for Not Getting Vaccinated (%) 1 | Significance | ||||
|---|---|---|---|---|---|---|---|
| Bengaluru | Delhi | Kolkata | Mumbai | Total | |||
| N = 142 | N = 54 | N = 50 | N = 50 | N = 296 | |||
| 1 | Complications and/or futility of getting vaccinated | 1.7 | 37 | 2 | 44 | 28.6 | 0.000 |
| 2 | Lack of understanding of safety of vaccine and AEFI | 2.7 | 35.2 | 12 | 22 | 24.3 | 0.044 |
| 3 | Uncertainty of getting vaccine | 4 | 24.1 | 48 | 6 | 27.7 | 0.000 |
| 4 | Dependence on others/family to make decision to vaccinate | 7.7 | 20.4 | 4 | 20 | 17.6 | 0.054 |
| 5 | Dependence on others/family to register | 5.7 | 18.5 | 2 | 20 | 15.6 | 0.007 |
| 6 | Fear of getting vaccinated and reason | 2 | 14.8 | 18 | 38 | 24.6 | 0.023 |
| 7 | Unable to register | 26.3 | 13 | 4 | 20 | 21.4 | 0.110 |
| 8 | Cannot spare a day from work | 13 | 13 | 6 | 2 | 11.5 | 0.131 |
| 9 | Vaccination centre is too far | 4.7 | 9.3 | 6 | 8 | 9.5 | 0.391 |
| 10 | Timings inappropriate | 4.4 | 9.3 | 10 | 6 | 10.0 | 0.205 |
| 11 | No utility of vaccine in containing the pandemic | 3.4 | 7.4 | 2 | 22 | 11.8 | 0.006 |
| 12 | Lack of faith in immunization | 0 | 7.4 | 6 | 20 | 11.3 | 0.000 |
| 13 | Unable to reach due to physical disability or health condition | 10.1 | 5.6 | 8 | 2 | 8.7 | 0.011 |
| 14 | Do not believe in the government system, will get the vaccine once available in the free market/private | 0 | 3.7 | 0 | 22 | 8.7 | 0.000 |
| 15 | Lack of supporting documents | 14 | 0 | 2 | 2 | 6.1 | 0.267 |
| 16 | Other reasons (fear of overcrowding at the site, fear of symptoms, poor knowledge of process etc.) | 0 | 18.5 | 0 | 24 | 14.4 | 0.000 |
AEFI = adverse effects following immunization, COVID-19 = coronavirus disease. 1 More than one reason attributed by several responders.
Description of theme gender-culture with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Gender-Culture | |
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Description of theme geographical barrier with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Geographical Barriers | |
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Description of theme technological barriers with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Technological Barriers | |
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Description of theme Socio-economic barrier with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Socio-Economic Barriers | |
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Description of theme Group influences with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Group Influences | |
Description of theme individual influences—misinformation/rumor with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Individual Influences, Mis-Information/Rumours | |
Description of theme knowledge and awareness with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| AEFI at Individual/Family Level and Trust | |
Description of theme experience with past immunization with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Experience with Past Immunization | |
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Description of theme vaccine supply issues.
| Easons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Vaccine Supply Barriers | |
Description of theme Access issues with verbatim.
| Reasons for NOT Vaccinating | Reasons for Vaccination |
|---|---|
| Access Barriers | |
Description of barriers and enablers to vaccine uptake.
| Vaccine Uptake Influences | Barriers and Challenges | Enablers |
|---|---|---|
| Contextual influences |
Poverty and economic vulnerability resulting in an inability to spare time for vaccination Low digital literacy and poor access to the internet/technology to register for vaccination. |
Improved access to vaccination centres through local health facilities, Aam Aadmi Clinics/PHCs, and possibly door to door vaccination drives Facilitating walk-in vaccination and registration |
| Individual/Group influences |
Misinformation on effects of vaccination Poor accessibility for the disabled and elderly population |
Increased availability of vaccines at centres Highlighting the importance of vaccination by employers and community leaders |
| Vaccine specific influences |
Uncertainty of vaccine availability Inconvenient timings for vaccination leading to a trade-off between getting vaccinated and a day’s work Lack of proactive communication on the schedule of vaccination drives |
Increased knowledge and available information on AEFI Spreading awareness and giving information on vaccine schedule, timing, location |