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Agarwal SK, Mishra S. Health impact evaluation of Aspirational Districts Program in India: Evidence from National Family Health Survey. ECONOMICS AND HUMAN BIOLOGY 2024; 54:101411. [PMID: 39018957 DOI: 10.1016/j.ehb.2024.101411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 06/22/2024] [Accepted: 07/01/2024] [Indexed: 07/19/2024]
Abstract
The Aspirational District Program (ADP) is a unique initiative of Government of India launched in 2018 that aims to reduce inter-district multidimensional inequality. ADP aims to bring the least developed districts to catch up with the rest of the other districts in the country. The program is comprehensive in its scope as it targets improvement of several key development indicators spanning health and nutrition, education, agriculture and water resources, financial inclusion and skill development and basic infrastructure indicators. Aspirational districts (ADs) are eligible for enhanced funding and priority allocation of various initiatives undertaken by the central and the state governments. Our research estimates the causal impact of ADP on the targeted health and nutrition indicators using a combination of propensity score matching and difference-in-differences (PSM-DID). We use the fourth and fifth rounds of National Family Health Survey (NFHS) data collected in 2015-16 and 2019-21 respectively which serve as the pre and post-treatment data for our analysis. Moreover, we take advantage of the transparent mechanism outlined for the identification of ADs under ADP, which we use for propensity score matching for our PSM-DID. While we observe negative impact of ADP on early initiation of breastfeeding, we believe that the impact is confounded with the effects of Covid-19 since part of NFHS-5 data was collected during the pandemic. However, the negative impact of ADP on early initiation of breastfeeding disappears when we only use pre-covid data (i.e. data for districts from states surveyed before the pandemic). Additionally, using pre-covid data we find a reduction in the prevalence of underweight children younger than 5 years to an extent of 2 to 4 percentage points in ADs as an impact of ADP, which is robust across multiple specification. We do not find evidence of a positive or a negative impact of ADP on any other health and nutrition indicators. Future research efforts should be made towards impact evaluation of all the targeted indicators in order to get a comprehensive unbiased evaluation of ADP.
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Affiliation(s)
- Sandip K Agarwal
- Department of Economic Sciences, Indian Institute of Science Education and Research Bhopal, India.
| | - Shubham Mishra
- Department of Economic Sciences, Indian Institute of Science Education and Research Bhopal, India
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Ali HA, Hartner AM, Echeverria-Londono S, Roth J, Li X, Abbas K, Portnoy A, Vynnycky E, Woodruff K, Ferguson NM, Toor J, Gaythorpe KAM. Vaccine equity in low and middle income countries: a systematic review and meta-analysis. Int J Equity Health 2022; 21:82. [PMID: 35701823 PMCID: PMC9194352 DOI: 10.1186/s12939-022-01678-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/17/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Evidence to date has shown that inequality in health, and vaccination coverage in particular, can have ramifications to wider society. However, whilst individual studies have sought to characterise these heterogeneities in immunisation coverage at national level, few have taken a broad and quantitative view of the contributing factors to heterogeneity in immunisation coverage and impact, i.e. the number of cases, deaths, and disability-adjusted life years averted. This systematic review aims to highlight these geographic, demographic, and sociodemographic characteristics through a qualitative and quantitative approach, vital to prioritise and optimise vaccination policies. METHODS A systematic review of two databases (PubMed and Web of Science) was undertaken using search terms and keywords to identify studies examining factors on immunisation inequality and heterogeneity in vaccination coverage. Inclusion criteria were applied independently by two researchers. Studies including data on key characteristics of interest were further analysed through a meta-analysis to produce a pooled estimate of the risk ratio using a random effects model for that characteristic. RESULTS One hundred and eight studies were included in this review. We found that inequalities in wealth, education, and geographic access can affect vaccine impact and vaccination dropout. We estimated those living in rural areas were not significantly different in terms of full vaccination status compared to urban areas but noted considerable heterogeneity between countries. We found that females were 3% (95%CI[1%, 5%]) less likely to be fully vaccinated than males. Additionally, we estimated that children whose mothers had no formal education were 28% (95%CI[18%,47%]) less likely to be fully vaccinated than those whose mother had primary level, or above, education. Finally, we found that individuals in the poorest wealth quintile were 27% (95%CI [16%,37%]) less likely to be fully vaccinated than those in the richest. CONCLUSIONS We found a nuanced picture of inequality in vaccination coverage and access with wealth disparity dominating, and likely driving, other disparities. This review highlights the complex landscape of inequity and further need to design vaccination strategies targeting missed subgroups to improve and recover vaccination coverage following the COVID-19 pandemic. TRIAL REGISTRATION Prospero, CRD42021261927.
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Affiliation(s)
- Huda Ahmed Ali
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Anna-Maria Hartner
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | | | - Jeremy Roth
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Xiang Li
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Kaja Abbas
- grid.8991.90000 0004 0425 469XLondon School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Allison Portnoy
- grid.38142.3c000000041936754XCenter for Health Decision Science, Harvard T H Chan School of Public Health, Cambridge, USA
| | - Emilia Vynnycky
- grid.271308.f0000 0004 5909 016XPublic Health England, London, UK
| | - Kim Woodruff
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Neil M Ferguson
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Jaspreet Toor
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Katy AM Gaythorpe
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
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Oguntunde O, Nyenwa J, Yusuf F, Sulaiman Dauda D, Salihu A, Sinai I. Factors associated with the knowledge of obstetric danger signs, and perceptions of the need for obstetric care amongst married young women in northern Nigeria. Afr J Prim Health Care Fam Med 2021; 13:e1-e9. [PMID: 33881335 PMCID: PMC8063520 DOI: 10.4102/phcfm.v13i1.2557] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 11/13/2020] [Accepted: 11/21/2020] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND Married adolescents contribute to poor maternal health indicators in many low-and middle-income countries, where restrictive social norms hinder access to, and utilisation of maternal health services. Addressing these barriers is key to improving health outcomes of young mothers and their children. AIM This study assessed married young women's knowledge of obstetric danger signs and perceptions of the need to attend obstetric services. METHODS A cross sectional descriptive design, interviewing 1624 randomly selected married young women aged 12-25 years. Data were collected in early 2017 using an interviewer-administered questionnaire on mobile phones, and exported into a statistical software for analysis. RESULTS We found low levels of knowledge of danger signs, especially those pertaining to the post-partum period. Respondents' age, literacy and household wealth were significantly associated with knowledge of danger signs across the continuum of care. Awareness of danger signs during delivery, was strongly associated with perceptions of need for antenatal care (odds ratio[OR]= 2.269; p 0.05), and delivery in a health facility (OR = 1.883; P 0.05). Most respondents believed they must wait for their husband's approval to attend a health facility when in labour. CONCLUSION Our findings show that the low levels of knowledge of obstetric danger signs, low perceptions of the importance of facility delivery, and the need to obtain husband's permission before seeking care, are highly contextualised and reflect the socio-cultural and economic circumstances of married young women in northern Nigeria. Interventions must consider these cultural context, and include a strong male-involvement component.
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Huang Y, Danovaro-Holliday MC. Characterization of immunization secondary analyses using demographic and health surveys (DHS) and multiple indicator cluster surveys (MICS), 2006-2018. BMC Public Health 2021; 21:351. [PMID: 33581740 PMCID: PMC7880859 DOI: 10.1186/s12889-021-10364-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 01/31/2021] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND Infant immunization coverage worldwide has plateaued at about 85%. Using existing survey data to conduct analyses beyond estimating coverage may help immunization programmes better tailor strategies to reach un- and under-immunized children. The Demographic and Health Survey (DHS) and the Multiple Indicators Cluster Survey (MICS), routinely conducted in low and middle-income countries (LMICs), collect immunization data, yet vaccination coverage is often the only indicator reported and used. We conducted a review of published immunization-related analyses to characterize and quantify immunization secondary analyses done using DHS and MICS databases. METHODS We conducted a systematic search of the literature, of immunization-related secondary analyses from DHS or MICS published between 2006 and August 2018. We searched 15 electronic databases without language restrictions. For the articles included, relevant information was extracted and analyzed to summarize the characteristics of immunization-related secondary analyses. Results are presented following the PRISMA guidelines. RESULTS Among 1411 papers identified, 115 met our eligibility criteria; additionally, one article was supplemented by the Pan American Health Organization. The majority were published since 2012 (77.6%), and most (68.9%) had a first or corresponding author affiliated with institutions in high-income countries (as opposed to LMICs where these surveys are conducted). The median delay between survey implementation and publication of the secondary analysis was 5.4 years, with papers with authors affiliated to institutions in LMIC having a longer median publication delay (p < 0.001). Over 80% of the published analyses looked at factors associated with a specific vaccine or with full immunization. Quality proxies, such as reporting percent of immunization data from cards vs recall; occurrence and handling of missing data; whether survey analyses were weighted; and listing of potential biases or limitations of the original survey or analyses, were infrequently mentioned. CONCLUSION Our review suggests that more needs to be done to increase the increase the utilization of existing DHS and MICS datasets and improve the quality of the analyses to inform immunization programmes. This would include increasing the proportion of analyses done in LMICs, reducing the time lag between survey implementation and publication of additional analyses, and including more qualitative information about the survey in the publications to better interpret the results.
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Affiliation(s)
- Yue Huang
- Department of Immunization, Immunization, Analytics and Insights (IAI), Vaccines and Biologicals (IVB), World Health Organization (WHO), 1211, Geneva, Switzerland
- Present affiliation: State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - M Carolina Danovaro-Holliday
- Department of Immunization, Immunization, Analytics and Insights (IAI), Vaccines and Biologicals (IVB), World Health Organization (WHO), 1211, Geneva, Switzerland.
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Impact of Multiple Risk Factors on Vaccination Inequities: Analysis in Indian Infants Over 2 Decades. Am J Prev Med 2021; 60:S34-S43. [PMID: 33183900 DOI: 10.1016/j.amepre.2020.10.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 09/30/2020] [Accepted: 10/01/2020] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Several authors have explored the effect of individual risk factors on vaccination inequity in Indian infants. This study explores the combined impact of >1 risk factor on the probability of full vaccination. METHODS The proportion of fully vaccinated infants (aged 1-2 years) was calculated from the National Family Health Survey conducted during 1997-1998 (National Family Health Survey-2, n=10,211), 2005-2006 (National Family Health Survey-3, n=9,582), and 2015-2016 (National Family Health Survey-4, n=48,715). Full vaccination was defined as receiving Bacille Calmette‒Guerin (1 dose); diphtheria, pertussis, tetanus (3 doses); oral polio (3 doses); and measles (1 dose) vaccines. The association between full vaccination status and 6 factors (infant sex, birth order, family wealth status, maternal education level, residence type, and religion) was analyzed individually, followed by the combined impact of ≥1 of the first 4, using logistic regression models. RESULTS The AORs for full vaccination in the 3 surveys, respectively, were 1.09, 1.13, and 1.00 for male versus female infants; 0.68, 0.71, and 0.88 for birth order >1 versus birth order 1; 1.54, 1.96, and 1.20 for greater wealth versus lowest wealth stratum; 2.21, 2.27, and 1.27 for any maternal education versus none; 1.08, 1.10, and 1.08 for Hindu versus other religion; and 1.51, 1.10, and 0.88 for urban versus rural residence. The respective ORs of full vaccination in the 3 surveys by the number of risk factors were as follows: 1.26, 1.54, and 1.27 for 3 risk factors; 2.41, 3.23, and 1.68 for 2 risk factors; 4.42, 6.45, and 2.18 for 1 risk factor; and 7.32, 9.84, and 2.61 for no risk factor. CONCLUSIONS The presence of multiple risk factors had a cumulative negative impact on infant vaccination in India. Despite an improvement over 2 decades, significant inequities persist. SUPPLEMENT INFORMATION This article is part of a supplement entitled Global Vaccination Equity, which is sponsored by the Global Institute for Vaccine Equity at the University of Michigan School of Public Health.
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Shenton LM, Wagner AL, Ji M, Carlson BF, Boulton ML. Vaccination assessments using the Demographic and Health Survey, 2005-2018: a scoping review. BMJ Open 2020; 10:e039693. [PMID: 33268412 PMCID: PMC7713201 DOI: 10.1136/bmjopen-2020-039693] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 11/02/2020] [Accepted: 11/17/2020] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To characterise studies which have used Demographic and Health Survey (DHS) datasets to evaluate vaccination status. DESIGN Scoping review. DATA SOURCES Electronic databases including PubMed, EBSCOhost and POPLINE, from 2005 to 2018. STUDY SELECTION All English studies with vaccination status as the outcome and the use of DHS data. DATA EXTRACTION Studies were selected using a predetermined list of eligibility criteria and data were extracted independently by two authors. Data related to the study population, the outcome of interest (vaccination) and commonly seen predictors were extracted. RESULTS A total of 125 articles were identified for inclusion in the review. The number of countries covered by individual studies varied widely (1-86), with the most published papers using data from India, Nigeria, Pakistan and Ethiopia. Many different definitions of full vaccination were used although the majority used a traditional schedule recommended in the WHO's Expanded Programme on Immunisation. We found studies analysed a wide variety of predictors, but the most common were maternal education, wealth, urbanicity and child's sex. Most commonly reported predictors had consistent relationships with the vaccination outcome, outside of sibling composition. CONCLUSIONS Researchers make frequent use of the DHS dataset to describe vaccination patterns within one or more countries. A clearer idea of past use of DHS can inform the development of more rigorous studies in the future. Researchers should carefully consider whether a variable needs to be included in the multivariable model, or if there are mediating relationships across predictor variables.
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Affiliation(s)
- Luke M Shenton
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Abram L Wagner
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Mengdi Ji
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Bradley F Carlson
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Matthew L Boulton
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
- Department of Internal Medicine, Division of Infectious Disease, University of Michigan Medical School, Ann Arbor, Michigan, USA
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Gurnani V, Haldar P, Aggarwal MK, Das MK, Chauhan A, Murray J, Arora NK, Jhalani M, Sudan P. Improving vaccination coverage in India: lessons from Intensified Mission Indradhanush, a cross-sectoral systems strengthening strategy. BMJ 2018; 363:k4782. [PMID: 30530467 PMCID: PMC6282735 DOI: 10.1136/bmj.k4782] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Vandana Gurnani and colleagues report an analysis from the Intensified Mission Indradhanush strategy in India, showing that cross-sectoral participation can contribute to improved vaccination coverage of children at high risk
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Affiliation(s)
- Vandana Gurnani
- Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Pradeep Haldar
- Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | | | | | - Ashish Chauhan
- Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | | | | | - Manoj Jhalani
- Ministry of Health and Family Welfare, Government of India, New Delhi, India
| | - Preeti Sudan
- Ministry of Health and Family Welfare, Government of India, New Delhi, India
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Rivadeneira MF, Bassanesi SL, Fuchs SC. Socioeconomic inequalities and measles immunization coverage in Ecuador: A spatial analysis. Vaccine 2018; 36:5251-5257. [PMID: 30061028 DOI: 10.1016/j.vaccine.2018.07.051] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 07/17/2018] [Accepted: 07/22/2018] [Indexed: 11/28/2022]
Abstract
INTRODUCTION/BACKGROUND Inequalities in measles immunization coverage facilitate the onset of outbreaks. This study aimed to quantify socioeconomic inequalities associated with measles immunization coverage at the population level. METHODS An ecological study was performed using two datasets: the results of a measles immunization survey performed in Ecuador, in 2011, and socioeconomic data from the 2010 census, aggregated by canton. The survey included 3,140,799 people aged 6 months to 14 years living in 220 cantons of Ecuador. Vaccinated children were considered those who received at least one dose of vaccine against measles. Multiple spatial regression was performed to identify socioeconomic inequalities associated with measles immunization coverage. The slope index of inequality and the relative index of inequality were calculated. RESULTS Vaccination coverage against measles was inversely associated with unsatisfied basic needs in urban areas (P < 0.01) and the proportions of indigenous and African-Ecuadorian residents in the canton (P = 0.015), and directly associated with unemployment rate in the canton (P = 0.037). The distribution of immunization coverage across the cantons was heterogeneous, indicating spatial dependence. The non-immunization rate was 71% higher in the poorer cantons than in the upper stratum cantons (prevalence ratio 1.71; 95%CI: 1.69-1.72). A difference of 10.6 percentage points was detected in immunization coverage between cantons with the best vs. worst socioeconomic level, according to the slope index of inequality. The relative index of inequality revealed that immunization coverage was 1.12 times higher in cantons with the highest socioeconomic level vs. cantons with the lowest socioeconomic level. CONCLUSIONS The spatial dependence between measles vaccination coverage and socioeconomic disparities suggests clusters of vulnerable populations for outbreaks. Health and social inequalities must be considered to achieve and maintain measles elimination.
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Affiliation(s)
- María Fernanda Rivadeneira
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Facultad de Medicina, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.
| | - Sérgio Luiz Bassanesi
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
| | - Sandra Costa Fuchs
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
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Shenton LM, Wagner AL, Carlson BF, Mubarak MY, Boulton ML. Vaccination status of children aged 1-4 years in Afghanistan and associated factors, 2015. Vaccine 2018; 36:5141-5149. [PMID: 30026033 DOI: 10.1016/j.vaccine.2018.07.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 07/10/2018] [Accepted: 07/11/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Childhood mortality in Afghanistan fell by half between 1990 and 2015, due in part to the government's commitment to improving pediatric immunization services. Although progress has been made, immunization coverage has nonetheless remained low with only 65% of children receiving the third dose of Diphtheria-Pertussis-Tetanus (DPT3) based on WHO estimates. This study aims to calculate the proportion of Afghan children aged 1-4 years who were fully vaccinated, under-vaccinated, or non-vaccinated with government-recommended Expanded Program on Immunization vaccines and identify predictors related to the family's sociodemographic status and maternal autonomy. METHODS Data from the 2015 Afghanistan Demographic and Health Survey was used to calculate the proportion of children who were fully vaccinated (i.e. received all recommended vaccines), under-vaccinated (i.e. received some, but not all), and non-vaccinated (i.e. did not receive any vaccines) according to WHO guidelines. A multivariable multinomial logistic regression model generated odds ratios for under-vaccination and non-vaccination versus full vaccination, and examined associations between independent factors and full vaccination status. RESULTS We found 40.6% of Afghan children age 1-4 were fully vaccinated, 42.4% under-vaccinated, and 17% non-vaccinated. Large disparities characterized immunization coverage among provinces and between urban and rural regions. Birthing in a government institution (vs. non-institutional setting), a higher number of antenatal care visits, and a visit to a health facility in the past 12 months were all associated with increased odds of full immunization. Factors related to maternal autonomy including maternal decision-making and maternal attitudes towards beating were also significantly associated with vaccination status. CONCLUSION Approximately 60% of children in Afghanistan are under-vaccinated or non-vaccinated, leaving millions of children unnecessarily at risk for vaccine-preventable diseases. Engagement with community and religious leaders to create programs that increase women's autonomy and expand access to institutional delivery could lead to downstream increases in childhood vaccination coverage.
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Affiliation(s)
- Luke M Shenton
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Abram L Wagner
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Bradley F Carlson
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Mohammad Yousuf Mubarak
- Department of Microbiology, Kabul University of Medical Science, Jamal Mina, 3rd District, Next to Ali Abad Teaching Hospital, Kabul, Afghanistan
| | - Matthew L Boulton
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA; Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA.
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Francis MR, Nohynek H, Larson H, Balraj V, Mohan VR, Kang G, Nuorti JP. Factors associated with routine childhood vaccine uptake and reasons for non-vaccination in India: 1998-2008. Vaccine 2017; 36:6559-6566. [PMID: 28844636 DOI: 10.1016/j.vaccine.2017.08.026] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 07/04/2017] [Accepted: 08/10/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND Despite almost three decades of the Universal Immunization Program in India, a little more than half the children aged 12-23months receive the full schedule of routine vaccinations. We examined socio-demographic factors associated with partial-vaccination and non-vaccination and the reasons for non-vaccination among Indian children during 1998 and 2008. METHODS Data from three consecutive, nationally-representative, District Level Household and Facility Surveys (1998-99, 2002-04 and 2007-08) were pooled. Multinomial logistic regression was used to identify individual and household level socio-demographic variables associated with the child's vaccination status. The mother's reported reasons for non-vaccination were analyzed qualitatively, adapting from a previously published framework. RESULTS The pooled dataset contained information on 178,473 children 12-23months of age; 53%, 32% and 15% were fully vaccinated, partially vaccinated and unvaccinated respectively. Compared with the 1998-1999 survey, children in the 2007-2008 survey were less likely to be unvaccinated (Adjusted Prevalence Odds Ratio (aPOR): 0.92, 95%CI=0.86-0.98) but more likely to be partially vaccinated (aPOR: 1.58, 95%CI=1.52-1.65). Vaccination status was inversely associated with female gender, Muslim religion, lower caste, urban residence and maternal characteristics such as lower educational attainment, non-institutional delivery, fewer antenatal care visits and non-receipt of maternal tetanus vaccination. The mother's reported reasons for non-vaccination indicated gaps in awareness, acceptance and affordability (financial and non-financial costs) related to routine vaccinations. CONCLUSIONS Persisting socio-demographic disparities related to partial-vaccination and non-vaccination were associated with important childhood, maternal and household characteristics. Further research investigating the causal pathways through which maternal and social characteristics influence decision-making for childhood vaccinations is needed to improve uptake of routine vaccination in India. Also, efforts to increase uptake should address parental fears related to vaccination to improve trust in government health services as part of ongoing social mobilization and communication strategies.
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Affiliation(s)
- Mark Rohit Francis
- Department of Epidemiology, Health Sciences, Faculty of Social Sciences, University of Tampere, Tampere, Finland
| | - Hanna Nohynek
- Department of Health Security, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Heidi Larson
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Venkata Raghava Mohan
- Department of Community Health, Christian Medical College, Vellore, Tamil Nadu, India
| | - Gagandeep Kang
- Division of Gastrointestinal Sciences, Christian Medical College, Vellore, Tamil Nadu, India
| | - J Pekka Nuorti
- Department of Epidemiology, Health Sciences, Faculty of Social Sciences, University of Tampere, Tampere, Finland; Department of Health Security, National Institute for Health and Welfare (THL), Helsinki, Finland.
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