Literature DB >> 32460309

Measles outbreak in Romania: understanding factors related to suboptimal vaccination uptake.

Katrine Bach Habersaat1, Adriana Pistol2, Aurora Stanescu2, Catherine Hewitt3, Miljana Grbic4, Cassandra Butu4, Cath Jackson5.   

Abstract

BACKGROUND: A large measles outbreak started in Romania in 2016. Current study aimed to (i) clarify who was affected by the outbreak, (ii) identify their barriers and drivers to vaccination and (iii) explore variation by population group.
METHODS: This was a two-component study. Outbreak surveillance data for 6743 measles cases were reviewed to identify key characteristics. A survey was administered via telephone to 704 caregivers of measles cases (520 respondents) to explore capability, opportunity and motivation barriers to vaccination. Data were summarized descriptively for respondent characteristics and statements. Differences by population group (education, household income, ethnicity, setting and mobility) were explored using χ2 tests, Fisher's exact tests or regression models.
RESULTS: Most cases were unvaccinated and lived in low coverage areas. Ethnic minorities were disproportionally affected. Most caregivers felt welcome at health facilities. Some were less satisfied with the waiting time and had found the vaccine out of stock. Not everybody knew that vaccines were free of charge. Less than half knew the child's next vaccination date, some had not been informed and did not know where to seek this information. Some said their peers did not vaccinate. Beliefs were generally supportive of vaccination; but many were concerned about vaccine safety and found they had not received good information about this. Conclusions varied greatly between minorities and less educated groups, compared with people with higher education levels.
CONCLUSIONS: Identifying characteristics of the population affected and underlying factors can inform a strategy to avoid future outbreaks and further research to obtain deeper insights.
© The Author(s) 2020. Published by Oxford University Press on behalf of the European Public Health Association.

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Year:  2020        PMID: 32460309      PMCID: PMC7536253          DOI: 10.1093/eurpub/ckaa079

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


Introduction

Large measles outbreaks in the European Region, with more than 100 000 cases in 2019, are occurring after years where countries have failed to reach the 95% coverage with two doses of measles vaccine at national and subnational levels necessary to eliminate the disease. Tailored, innovative strategies are critical in reaching sub-optimally vaccinated population groups., On this background, the World Health Organization (WHO) Regional Office for Europe supports its Member States in exploring determinants of vaccination to inform interventions to increase vaccination and has developed guidance for this with the Tailoring Immunization Programmes (TIP) approach., An ongoing measles outbreak in Romania causing 17 918 cases and 59 deaths in 2016–18, indicates sub-optimal vaccination. More evidence is needed to understand which population groups are affected and their reasons for sub-optimal vaccination. Vaccination records, individual recollection of vaccination status or stated intention to vaccinate may not always be accurate, so a measles outbreak provides an opportunity to identify and approach affected individuals. A study was conducted with three aims: (i) clarify who was affected by the measles outbreak, (ii) identify their barriers and drivers to vaccination and (iii) explore whether these factors varied by population group.

Methods

The study included a review of outbreak surveillance data and survey with caregivers. Ethical approval was obtained by an ad hoc committee—academics from Departments of Public Health, Family Medicine and Psychology from University of Medicine Bucharest and BabesBolyai University of Cluj-Napoca.

Review of outbreak surveillance data

The characteristics (age, geography, measles vaccination status) of all confirmed measles cases (from outbreak start late-January 2016 to mid-June 2017) were explored using national surveillance data recording all probable and confirmed measles cases using reports from district public health authorities. Measles deaths were identified from hospital reporting to public health districts and categorized based on the WHO case definition.

Survey with caregivers

A questionnaire was administered via telephone using the computer-assisted telephone interviewing method. Out of a total of 4187 confirmed/probable measles cases during January 2016–May 2017, aged 13 months to 18 years at the time of onset of measles, a random sample of 704 was selected, who were representative of the target population (county, gender and age), to allow estimation within at least a 3.7% margin of error. Ineligible cases (no contact details or consent) were replaced by cases matching location, gender and age. The response rate was 74%. This resulted in a representative sample of 520 out of 4187 measles cases (equating to 12%). Children below 13 months were excluded as non-vaccination of this group is in line with the national vaccination schedule. The selected cases were contacted by local health authorities and family doctors obtaining study consent and contact details. Characteristics of respondents and their child with measles were recorded: caregiver relationship to child, education, household income, ethnicity (majority vs. minority population), community setting (rural vs. urban), number of children; child age when contracted measles, disease classification, measles vaccination status and mobility. These characteristics were defined based on local assumptions and international evidence of determinants to vaccination. Mobility was defined as having lived in more than one place. Minority population was defined as ethnic minorities, such as Roma, Hungarians, Turkish, Hungarian Gypsies and others. Identification of minority/majority population was done using respondents’ addresses. The questionnaire was designed using the WHO TIP approach,, building on the COM-B model, identifying necessary conditions for behaviour change: capability (individual ability to enact the behaviour), physical and social opportunity (external physical or social environments that enable or inhibit the behaviour) and motivation (individual mechanisms that enact or inhibit behaviour) (Supplementary figure S1). Using a behaviour change model can ensure a comprehensive and systematic approach. All data were summarized descriptively for respondent characteristics and for each set of statements (capability, opportunity, motivation). Continuous measures were reported as means and standard deviations and for categorical data as counts and percentages. To explore assumptions for different population groups, associations between responses to 11 pre-selected key statements and two characteristics (ethnicity, education) were compared using a χ2 test or Fisher’s exact test as appropriate. The ‘do not know/no responses’ option was excluded from the analyses. Exploring association with household income was not possible because 42% of respondents did not provide this information. To quantify which characteristics (ethnicity, education, community setting, mobility) were associated with negative responses to nine pre-selected key statements, logistic regression models or multinomial logistic regression models were used depending on the comparisons. Odds ratios or relative risk ratios and corresponding 95% confidence intervals were obtained from the models.

Results

Characteristics of the affected population

Review of outbreak surveillance data

Most measles cases had received no (97%) or one dose (2%) of measles vaccination and lived in communities with suboptimal MMR vaccination coverage in 2015. In one district, coverage for the second dose of measles vaccine was just 29.7%. Particularly, affected districts were Arad (first dose: 67.9%, second dose: 47.7%), Caras-Severin (78.9%, 29.7%), Cluj (87.8%, 53.1%) and Timis (67.1%, 47.6%). The most affected age group was under 1 year, followed by 1–4 years and 5–9 years (Supplementary figure S2). In all, 1157 of 6743 cases were 15 years or older. Of 6743 measles cases, there were 30 deaths, of which 13 children under 1 year; nine 1-years-olds, seven 2-to-17-year-olds and one 27-year-old. A measles mortality study in 2019 showed that key risk factors associated with measles-related death in 2016–18 included chronic respiratory illnesses and malnutrition.

Survey with caregivers

Of 704 caregivers, 520 (74%) surveys were completed. Respondent characteristics are presented in table 1. The majority was the child’s mother (n = 366, 70%). Over 40% (n = 204) reported low levels of education (no education, primary education). There was an even split in ethnicity (minority population: n = 261, 50%, majority population: n = 259, 50%). Nearly 60% (n = 299) lived in rural locations. Since low/no education represent only 8% of the population in Romania, ethnic minorities represent an estimated 7% and rural populations represent 46%, this indicates a considerable over-representation of low education and ethnic minorities and an over-representation of rural population among measles cases.
Table 1

Description of survey respondents and their children (measles cases)

Characteristics N (%)
Respondent’s relationship to child
 Mother366 (70.4)
 Father117 (22.5)
 Other37 (7.1)
Education
 No education46 (9.3)
 Primary education158 (31.9)
 Secondary education210 (42.4)
 Tertiary education81 (16.4)
 Do not know/no response25 (4.8)
Household income
 No income2 (0.7)
 Low (<1900)138 (45.7)
 Middle (2000–4999)119 (39.4)
 High (>5000)43 (14.2)
 Do not know/no response218 (42.0)
Ethnicitya
 Ethnic minority261 (50.2)
 Ethnic majority259 (49.8)
Community setting
 Urban221 (42.5)
 Rural299 (57.5)
Number of children in household
 Mean (SD)5.3 (2.2)
 Median (min, max)5 (2 to 20)
 Do not know/no response26 (5.0)
Which child contracted measles
 Mean (SD)2.7 (1.8)
 Median (min, max)2 (1–13)
 Do not know/no response42 (8.0)
Child’s gender
 Female253 (48.7)
 Male267 (51.4)
How old was child when contracted measles
 Mean (SD)4.7 (4.3)
 Median (min, max)3 (1, 18)
Classification
 Confirmed232 (44.6)
 Possibly1 (0.2)
 Probably287 (55.2)
Vaccination status (routine data)
 0 dose460 (88.5)
 1 dose47 (9.0)
 2 doses13 (2.5)
How many doses (self-reported)
 0 dose161 (31.0)
 1 dose354 (68.1)
 Do not know5 (1.0)
Child lived in the same community/village all life
 Yes461 (88.7)
 No58 (11.2)
 Do not know/no response1 (0.2)
Child has lived in another place in Romania
 Yes49 (9.4)
 No470 (90.4)
 Do not know/no response1 (0.2)
Child has lived abroad
 Yes10 (1.9)
 No509 (97.9)
 Do not know/no response1 (0.2)

Assumed ethnicity.

Description of survey respondents and their children (measles cases) Assumed ethnicity. The mean number of children in the family was five, and the child who contracted measles was, usually, the second child (median = 2). There were approximately equal numbers of boys (n = 267, 51%) and girls (n = 253, 49%). Approximately one-third (31%, n = 161) reported having no dose of measles vaccine and 68% (n = 354) reported one dose, i.e. not in correspondence with routinely collected data which indicated that the vast majority of measles cases had not received any measles vaccination (Supplementary table S1). The majority (n = 461, 89%) indicated that their child had lived in the same community/village all their life.

Physical opportunity

Responses to 16 physical opportunity statements are presented in table 2.
Table 2

Summary of responses to physical/social opportunity, capability and motivation statements

StatementYes, N (%)No, N (%)Do not know/ no response, N (%)
Physical opportunity
 My child is registered with a family doctor498 (95.8)22 (4.2)
 The health facility in general provides a high-quality service479 (92.1)10 (1.9)31 (6.0)
 The location of the health clinic is convenient to me473 (91.0)36 (6.9)11 (2.1)
 I feel welcome at the health facility495 (95.2)9 (1.7)16 (3.1)
 My children feel welcome at the health facility475 (91.4)8 (1.5)37 (7.1)
 The waiting area of the health facility is appropriate to my needs487 (93.7)14 (2.7)19 (3.7)
 Vaccines are provided at a convenient time of day for me452 (86.9)6 (1.2)62 (11.9)
 It is easy for me to get an appointment for vaccination430 (82.7)22 (4.2)68 (13.1)
 The waiting time at the health facility is appropriate395 (76.0)93 (17.9)32 (6.2)
 Measles vaccination is free of charge for my child419 (80.6)101 (19.4)
 The measles vaccine was available when my child needed it281 (54.4)73 (14.0)166 (31.9)
 When I am living in other places my child(ren) get vaccinated in the place where we are437 (84.0)7 (1.4)76 (14.6)
 Someone from the doctors’ clinic informed me the last time it was time for my child’s vaccination302 (58.1)154 (29.6)64 (12.3)
 I am satisfied with the information I receive from my family doctor about vaccination413 (79.4)61 (11.7)46 (8.9)
 My family doctor provided clear information about vaccination409 (78.7)77 (14.8)34 (6.5)
 My family doctor provided clear information about potential side-effects358 (68.9)126 (24.2)36 (6.9)
Social opportunity
 My family doctor advised me to vaccinate my child against measles425 (81.7)37 (7.1)58 (11.2)
 My family doctor advised me NOT to vaccinate my child against measles9 (1.7)460 (88.5)51 (9.8)
 Another doctor (other than my family doctor) advised me to vaccinate my child against measles185 (35.6)181 (34.8)154 (29.6)
 Another doctor (other than my family doctor) advised me NOT to vaccinate my child against measles20 (3.9)353 (67.9)147 (28.3)
 Media (TV, radio, newspapers) generally support vaccination391 (75.2)21 (4.0)108 (20.8)
 Most people who are important to me think that children should get vaccinated416 (80.0)49 (9.4)55 (10.6)
 Most people with young children in my community vaccinate their children358 (68.9)42 (8.1)120 (23.1)
Capability
 I know where to go for vaccination of my child457 (87.9)63 (12.1)
 When I am living in another place, I know where to go for vaccination449 (86.4)16 (3.1)55 (10.6)
 I know where to go for information about vaccination368 (70.8)152 (29.2)
 I know when it is time for my child’s next vaccination241 (46.4)279 (53.7)
Motivation
 I believe that vaccines are generally safe for my child371 (71.4)59 (11.4)90 (17.3)
 The potential risk of vaccine side-effects is small330 (63.5)44 (8.5)146 (28.1)
 Measles is a potentially serious disease which can cause harm to my child480 (92.3)5 (1.0)35 (6.7)
 Vaccination is important for my child to have a healthy life458 (88.1)14 (2.7)48 (9.2)
 Vaccination is important to prevent spread of disease in my community465 (89.4)13 (2.5)42 (8.1)
 I intend to vaccinate my children according to the national schedule410 (78.9)37 (7.1)73 (14.0)
Summary of responses to physical/social opportunity, capability and motivation statements The majority (n = 498, 96%) reported that their child is registered with a family doctor. Most indicated that the health facility provides high-quality service (n = 479, 92%), location is convenient (n = 473, 91%), they feel welcome (n = 495, 95%) as do their children (n = 475, 91%) and the waiting area is appropriate (n = 487, 94%). Many considered that the times when vaccines are provided are convenient (452, 87%); and it is easy to get an appointment for vaccinations (n = 430, 83%). Less respondents viewed the waiting time as appropriate (n = 395, 76%). Respondents with lower levels of education were less likely to think that the health facility provides high-quality service compared with higher education levels (table 3). There was no evidence of variation by ethnicity or education levels for statements on feeling welcome, waiting area, time of day or ease of getting an appointment (table 3).
Table 3

Associations between key statements and ethnicity and education

StatementsEthnicityaN (%)Education N (%)
Ethnic minoritybEthnic majorityb P valueNo educationPrimarySecondaryTertiary P value
Physical opportunity
 The health facility in general provides a high-quality service248 (98.0)241 (97.9)1.00042 (97.7)146 (95.4)197 (99.5)76 (98.7)0.050
 I feel welcome at the health facility234 (98.7)218 (98.6)1.00045 (100.0)141 (100.0)183 (96.8)68 (100.0)0.078
 The waiting area of the health facility is appropriate to my needs251 (98.1)244 (98.4)1.00037 (80.4)121 (80.7)158 (81.4)66 (81.5)0.997
 Vaccines are provided at a convenient time of day for me240 (93.8)233 (92.1)0.46643 (95.6)146 (93.0)192 (92.3)74 (92.5)0.894
 It is easy for me to get an appointment for vaccination227 (95.4)203 (94.9)0.79835 (89.7)133 (95.0)178 (95.7)70 (95.9)0.471
 I am satisfied with the information I receive from my family doctor about vaccination212 (87.6)201 (86.6)0.75435 (83.3)128 (88.9)171 (86.8)66 (88.0)0.801
Social opportunity
 My family doctor advised me to vaccinate my child against measles200 (90.1)225 (93.8)0.14839 (95.1)135 (93.8)172 (91.5)65 (89.0)0.552
 Most people who are important to me think that children should get vaccinated211 (91.3)205 (87.6)0.19037 (97.4)132 (91.7)173 (90.6)60 (79.0)0.006
Motivation
 The potential risk of vaccine side-effects is small158 (87.8)172 (88.7)0.79129 (90.6)108 (91.5)143 (90.5)39 (72.2)0.002
 Vaccination is important for my child to have a healthy life227 (97.0)231 (97.1)0.97441 (100.0)148 (98.7)192 (96.0)63 (95.5)0.255
 I intend to vaccinate my children according to the national schedule213 (93.8)197 (89.6)0.10045 (100.0)126 (91.3)170 (92.9)55 (83.3)0.015

Analyses excluded do not know/no response option.

Assumed ethnicity.

Analysis included do not know/no response as there were zero no responses reported for this question.

Associations between key statements and ethnicity and education Analyses excluded do not know/no response option. Assumed ethnicity. Analysis included do not know/no response as there were zero no responses reported for this question. Most (n = 419, 81%) agreed that measles vaccination is provided free of charge to their child and that when living in other places their child(ren) still gets vaccinated (n = 437, 84%); although 19% and 15%, respectively, did not know/did not respond. Respondents who reported that their child had lived in different places and those with primary level education (compared with tertiary) were twice as likely as those whose child had lived in the same place to not know/not respond that measles vaccination is free (table 4). There was no association with ethnicity or rural/urban setting for this statement (table 4).
Table 4

Predictors of a negative response to key physical/social opportunity, capability and motivation statements

StatementNo vs. yesNo vs. do not know
TypeEstimate (95% CI) P valueTypeEstimate (95% CI) P value
Physical opportunity
 Measles vaccination is free of charge for my child
  Ethnicity (minority/majority)aOR1.26 (0.81–1.94)0.299
  Educationa
   No educationOR1.60 (0.76–4.05)0.324
   PrimaryOR2.01 (0.99–4.09)0.053
   SecondaryOR0.88 (0.43–1.84)0.742
   Living in the same communityOR2.05 (1.12–3.75)0.020
   Community (urban/rural)OR1.29 (0.83–1.99)0.260
 The measles vaccine was available when my child needed it
  Ethnicity (Minority/Majority)aRRR1.07 (0.64–1.79)0.804RRR0.84 (0.49–1.46)0.540
  Educationb
   PrimaryRRR0.93 (0.33–2.55)0.881RRR1.19 (0.41–3.44)0.748
   SecondaryRRR1.02 (0.38–2.71)0.975RRR1.42 (0.51–3.95)0.506
   TertiaryRRR1.13 (0.38–3.37)0.823RRR1.53 (0.49–4.85)0.465
   Living in the same communityRRR0.45 (0.15–1.32)0.146RRR0.38 (0.13–1.14)0.083
   Community (urban/rural)RRR0.72 (0.42–1.32)0.230RRR0.70 (0.40–1.24)0.228
 Someone from the doctors’ clinic informed me the last time it was time for my child’s vaccination
  Ethnicity (minority/majority)aRRR1.50 (1.02–2.22)0.040RRR0.67 (0.37–1.23)0.197
  Educationb
   PrimaryRRR3.39 (1.41–8.14)0.006RRR2.81 (0.71–11.13)0.141
   SecondaryRRR2.60 (1.09–6.18)0.030RRR1.59 (0.43–5.94)0.490
   TertiaryRRR2.22 (0.84–5.84)0.106RRR0.71 (0.18–2.88)0.636
   Community (urban/rural)RRR1.27 (0.85–1.87)0.240RRR0.72 (0.40–1.29)0.263
 My family doctor provided clear information about vaccination
  Ethnicity (minority/majority)aRRR1.26 (0.84–1.92)0.256RRR0.69 (0.45–1.06)0.091
  Educationb
   PrimaryRRR2.33 (1.06–5.12)0.035RRR1.03 (0.42–2.49)0.950
   SecondaryRRR1.63 (0.77–3.46)0.205RRR1.23 (0.51–2.95)0.644
   TertiaryRRR1.15 (0.47–2.77)0.761RRR0.61 (0.23–1.63)0.327
   Community (urban/rural)RRR1.11 (0.73–1.68)0.620RRR1.03 (0.67–1.59)0.884
Social opportunity
 Most people with young children in my community vaccinate their children
  Ethnicity (minority/majority)aRRR0.84 (0.44–1.61)0.607RRR0.75 (0.37–1.51)0.419
  Educationb
   PrimaryRRR4.64 (0.59–36.26)0.144RRR8.23 (1.00–67.77)0.050
   SecondaryRRR3.33 (0.43–26.12)0.252RRR4.80 (0.59–39.24)0.143
   TertiaryRRR2.95 (0.34–25.62)0.327RRR6.43 (0.69–60.31)0.103
   Community (urban/rural)RRR1.25 (0.66–2.37)0.492RRR1.93 (0.94–3.93)0.071
Capability
 I know where to go for vaccination of my child
  Ethnicity (minority/majority)aOR1.89 (1.10–3.26)0.022
  Educationb
   No educationOR0.26 (0.06–1.22)0.088
   PrimaryOR0.98 (0.46–2.09)0.957
   SecondaryOR0.47 (0.21–1.05)0.067
  Community (urban/rural)OR0.94 (0.55–1.61)0.833
 I know where to go for information about vaccination
  Ethnicity (minority/majority)aOR1.47 (1.00–2.15)0.048
  Educationb
   No educationOR3.37 (1.43–7.94)0.005
   PrimaryOR3.25 (1.62–6.49)0.001
   SecondaryOR1.99 (1.00–3.96)0.049
   Living in the same communityOR1.99 (1.14–3.48)0.016
   Community (urban/rural)OR0.84 (0.57–1.23)0.370
 I know when it is time for my child’s next vaccination
  Ethnicity (minority/majority)aOR1.32 (0.94–1.87)0.112
  Educationb
   No educationOR1.39 (1.67–2.88)0.381
   PrimaryOR1.11 (0.65–1.89)0.709
   SecondaryOR1.01 (0.61–1.69)0.959
   Community (urban/rural)OR1.27 (0.89–1.80)0.187
Motivation
 I believe that vaccines are generally safe for my child
  Ethnicity (minority/majority)aRRR0.91 (0.52–1.57)0.731RRR0.86 (0.45–1.67)0.663
  Educationb
   PrimaryRRR0.79 (0.24–2.58)0.692RRR1.86 (0.49–7.00)0.360
   SecondaryRRR1.15 (0.37–3.57)0.804RRR2.40 (0.69–8.40)0.171
   TertiaryRRR2.40 (0.73–7.85)0.148RRR3.20 (0.84–12.12)0.087
   Community (urban/rural)RRR1.63 (0.94–2.83)0.082RRR1.38 (0.72–2.67)0.334

OR = odds ratio; RRR = relative risk ratio.

Assumed ethnicity.

Compared with no education.

Predictors of a negative response to key physical/social opportunity, capability and motivation statements OR = odds ratio; RRR = relative risk ratio. Assumed ethnicity. Compared with no education. Only half (n = 281, 54%) reported that that the measles vaccine was available when they needed it, nearly one third (n = 166, 32%) did not know/did not respond. There was little or no evidence of association between people responding that the vaccine was not available and ethnicity, education, mobility or rural/urban setting (table 4). Only 58% (n = 302) reported they had received information from the doctor’s clinic about their child’s next vaccination. Minority population respondents were 1.5 times more likely than majority population respondents to report they had not been informed. There was no association with rural/urban setting (table 4). Many (n = 409, 79%) reported their family doctor had provided clear information about vaccination. There was no association with ethnicity, secondary/tertiary education levels compared with no education and rural/urban setting (table 4). Only a quarter (n = 126, 24%) said that their family doctor had provided clear information about potential side effects.

Social opportunity

Responses to seven social opportunity statements are presented in table 2. Most respondents (n = 425, 82%) indicated that their family doctor had advised them to vaccinate their child against measles (no evidence of variation across education levels or ethnicity, table 3). Few respondents stated that their family doctor (1%) or another doctor (4%) had advised against measles vaccination. Three quarters of respondents stated that the media support vaccination (n = 351, 75%). Four out of five said people who are important to them think children should be vaccinated (n = 416, 80%). This varied across education levels (not ethnicity) (table 3). Those with tertiary education (n = 60, 79%) were less likely to agree compared with those with secondary (n = 173, 90.6%) or primary (n = 132, 91.7%) education. Slightly fewer respondents (n = 358, 69%) reported that most people in their community vaccinate their children (table 4).

Capability

Responses to four capability statements are presented in table 2. The majority reported that they know where to go for vaccination of their child (n = 457, 88%) even when living in another place (n = 449, 86.4%). The minority population was less likely than the majority population to know where to go. There was no evidence of variation across education levels or rural/urban setting (table 4). Less than three quarters (n = 368, 71%) knew where to go for information about vaccination. Minority population respondents were 1.5 times as likely as majority population not to know where to go for information. Those with no education/primary education were three times as likely not to know where to go compared with those with tertiary education. Those with secondary education were twice as likely not to know compared with those with tertiary education. Respondents whose child had lived in different communities were twice as likely as those whose child had lived in the same community not to know. There was no association with rural/urban setting (table 4). Less than half (n = 241, 46%) knew when it was time for their child’s next vaccination. There was no evidence of an association between ethnicity, education and rural/urban setting (table 4).

Motivation

Responses to six motivation statements are presented in table 2. Notably, 17% (n = 90) did not know/did not respond or disagreed (n = 59, 11%) with the statement that vaccines are generally safe for their child. There was no evidence of variation across ethnicity, education levels or rural/urban setting (table 4). Over a quarter (28%, n = 146) did not know/did not respond or disagreed (n = 44, 9%) with the statement that the potential risk of vaccine side effects is small. Over one fifth did not know/did not respond (n = 73, 14%) or did not intend (n = 37, 7%) to vaccinate their child according to the national schedule. Respondents with tertiary education levels were less likely to think that the potential risk of vaccine side effects is small or to vaccinate their child according to the national schedule compared with those with lower education levels; there was no evidence of variation by ethnicity for either statement (table 3). The majority thought that measles is a potentially serious disease which can cause harm (n = 480, 92%), vaccination is important for their child to have a healthy life (n = 458, 88%) and vaccination is important to prevent spread of disease in their community (n = 465, 89%). There was no evidence of an association between ethnicity or education for the belief that vaccination is important for their child to have a healthy life (table 3).

Discussion

There are many assumptions but little evidence of the reasons behind sub-optimal vaccination uptake in Romania. This is the first study to use national data to identify the characteristics of measles cases and their barriers and drivers to vaccination. Using a behaviour change model ensured a comprehensive, theory-informed approach. Some limitations should be acknowledged. With 42% of respondents not indicating household income, it was impossible to explore the influence of this. Another limitation related to identifying majority/minority populations. Categorizing people by ethnicity is culturally inappropriate in Romania, hence surveillance data does not identify ethnicity. Identification of minority/majority populations was done manually after data collection using respondents’ addresses rather than within the sampling procedure or using respondents’ self-identification. Ethnic disintegration is significant in Romania, so living area is a strong predictor of ethnicity. Still, this categorization may be confounded by subjective interpretation. While it is a study strength that we include only parents of sub-optimally immunized children, it is a limitation that we reach them when their response might be biased by their child having already contracted measles and needing them to recollect past experiences or perceptions. Furthermore, given this is a cross sectional survey we cannot infer causation. Finally, as it may be assumed that caregivers with the least interaction with the health system (e.g. unregistered) may not have taken part in the survey, we cannot claim that our findings represent their views. The surveillance data indicating that children with measles were mostly unvaccinated and living in low-coverage areas confirms that the outbreak is due to suboptimal vaccination uptake, and that geographic areas with pockets of susceptible populations need to be targeted to avoid future outbreaks. The survey findings were generally positive about health services. Most caregivers felt welcome at the health facility, were content with their location, quality of services, appointment systems and waiting areas. These factors can affect vaccination decisions and lead to vaccine hesitancy, but appear to be less of a concern. Less well reviewed was waiting time. Some responses about access to vaccination were concerning. Only half of caregivers believed the measles vaccine to be available when needed. Indeed, vaccine shortages have been experienced in Romania. A similar proportion did not know when their child’s next vaccination was due and had not been told by their family doctor, particularly evident for minority population respondents and those with middle-level education. There is good international evidence that reminder systems can improve vaccination coverage. An electronic registry has recently been introduced in Romania, and text message reminders are being piloted; however, a structured reminder system is not being introduced at this point. Many caregivers who were mobile or less educated did not know that the measles vaccine is provided free of charge. This misperception was a surprise for health authorities, and the reasons behind it should be explored and addressed. Respondents’ beliefs about the benefits of vaccination and the risks of measles were generally supportive of future vaccination. However, concerns about vaccine safety were evident, particularly among the most educated who were also less likely to perceive that people who are important to them supported vaccination. Such concerns are critical for vaccine decisions, and can be a reason for vaccine refusal. Whilst three quarters knew where to go for information about vaccination; the minority population group, those with less education or who were mobile were less informed. Only a quarter reported receiving clear information from their doctor about side effects. The family doctor is central in shaping people’s vaccination behaviour, and there is a need to continuously build their skills to advise parents, respond to safety concerns and questions and provide the necessary information and reassurance., Prior to this study, concerns had been raised that some doctors’ advice may be affected by their own hesitancy to vaccination; this was neither confirmed nor rejected. Less than 4% of caregivers indicated having been advised against vaccination by a doctor; however, any possible subtle hesitancy, e.g. in the form of covert recommendations against vaccination or application of false contraindications are not captured here. The study found that barriers to vaccination in Romania are complex and relate to all factors of the COM-B model. However, factors varied by population group. Disadvantaged groups such as minority, mobile and low education groups were highly over-represented among measles cases, and malnutrition was a risk factor associated with measles-related deaths. For these groups, capability and physical opportunity barriers to vaccination were particularly evident. For those with higher education levels, the challenges related more to motivation and social opportunity factors. These findings are consistent with other countries in Europe and further afield.,, No one action can turn this situation around; a multipronged strategy is needed tailored to the needs of different population groups. Studies elsewhere confirm an association between low immunization uptake and social determinants which are associated with other health inequities, including low levels of parental education and income. Still, efforts can be done to ensure an equitable vaccination programme. Other interventions are needed to build trust and social forms in favour of vaccination among well-educated caregivers. In this complex context, the findings led to recommendations for actions to avoid a future outbreak, including improved service provision and capacity building of vaccination providers, engaging trusted stakeholders in enhancing confidence in vaccination and strengthening vaccine supply. The study also exposed a need for more in-depth insights, including into the quality and convenience of services, and so has informed the design of an observation study with family practices serving vulnerable communities, which is now being completed.

Conclusion

Identifying the characteristics of the population affected by the measles outbreak and their barriers to vaccination allowed to inform actions to avoid future outbreaks, tailored to the needs of different population groups. Click here for additional data file.
  12 in total

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Authors:  Douglas J Opel; John Heritage; James A Taylor; Rita Mangione-Smith; Halle Showalter Salas; Victoria Devere; Chuan Zhou; Jeffrey D Robinson
Journal:  Pediatrics       Date:  2013-11-04       Impact factor: 7.124

2.  Vaccine hesitancy: Definition, scope and determinants.

Authors:  Noni E MacDonald
Journal:  Vaccine       Date:  2015-04-17       Impact factor: 3.641

Review 3.  Vaccine hesitancy and healthcare providers.

Authors:  Pauline Paterson; François Meurice; Lawrence R Stanberry; Steffen Glismann; Susan L Rosenthal; Heidi J Larson
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Authors:  Emilie Karafillakis; Heidi J Larson
Journal:  Vaccine       Date:  2017-07-29       Impact factor: 3.641

5.  Increasing Vaccination: Putting Psychological Science Into Action.

Authors:  Noel T Brewer; Gretchen B Chapman; Alexander J Rothman; Julie Leask; Allison Kempe
Journal:  Psychol Sci Public Interest       Date:  2017-12

6.  The WHO Tailoring Immunization Programmes (TIP) approach: Review of implementation to date.

Authors:  Eve Dubé; Julie Leask; Brent Wolff; Benjamin Hickler; Victor Balaban; Everold Hosein; Katrine Habersaat
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7.  Vaccine Hesitancy Among General Practitioners and Its Determinants During Controversies: A National Cross-sectional Survey in France.

Authors:  Pierre Verger; Lisa Fressard; Fanny Collange; Arnaud Gautier; Christine Jestin; Odile Launay; Jocelyn Raude; Céline Pulcini; Patrick Peretti-Watel
Journal:  EBioMedicine       Date:  2015-06-23       Impact factor: 8.143

Review 8.  Understanding vaccine acceptance and demand-and ways to increase them.

Authors:  Katrine Bach Habersaat; Cath Jackson
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2020-01       Impact factor: 1.513

Review 9.  Patient reminder and recall interventions to improve immunization rates.

Authors:  Julie C Jacobson Vann; Robert M Jacobson; Tamera Coyne-Beasley; Josephine K Asafu-Adjei; Peter G Szilagyi
Journal:  Cochrane Database Syst Rev       Date:  2018-01-18

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Authors:  Tammy Boyce; Amelie Gudorf; Catharina de Kat; Mark Muscat; Robb Butler; Katrine Bach Habersaat
Journal:  Euro Surveill       Date:  2019-01
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Authors:  Katie Attwell; Adam Hannah; Julie Leask
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Review 2.  The impact of misinformation on the COVID-19 pandemic.

Authors:  Maria Mercedes Ferreira Caceres; Juan Pablo Sosa; Jannel A Lawrence; Cristina Sestacovschi; Atiyah Tidd-Johnson; Muhammad Haseeb Ui Rasool; Vinay Kumar Gadamidi; Saleha Ozair; Krunal Pandav; Claudia Cuevas-Lou; Matthew Parrish; Ivan Rodriguez; Javier Perez Fernandez
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Review 5.  Access to Vaccination among Disadvantaged, Isolated and Difficult-to-Reach Communities in the WHO European Region: A Systematic Review.

Authors:  Winifred Ekezie; Samy Awwad; Arja Krauchenberg; Nora Karara; Łukasz Dembiński; Zachi Grossman; Stefano Del Torso; Hans Juergen Dornbusch; Ana Neves; Sian Copley; Artur Mazur; Adamos Hadjipanayis; Yevgenii Grechukha; Hanna Nohynek; Kaja Damnjanović; Milica Lazić; Vana Papaevangelou; Fedir Lapii; Chen Stein-Zamir; Barbara Rath
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6.  Study on the interaction between different pathogens of Hand, foot and mouth disease in five regions of China.

Authors:  Zimei Yang; Jia Rui; Li Qi; Wenjing Ye; Yan Niu; Kaiwei Luo; Bin Deng; Shi Zhang; Shanshan Yu; Chan Liu; Peihua Li; Rui Wang; Hongjie Wei; Hesong Zhang; Lijin Huang; Simiao Zuo; Lexin Zhang; Shurui Zhang; Shiting Yang; Yichao Guo; Qinglong Zhao; Shenggen Wu; Qin Li; Yong Chen; Tianmu Chen
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