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Table 2 A descriptive summary of the target vaccine, reason for hesitancy, outcomes, and limitations for each strategy

From: Strategies to overcome vaccine hesitancy: a systematic review

Author

Duration of study

Target vaccine

Reason for vaccine hesitancy

Outcome of interventions

Limitations of the study

Community health training

 Oche et al., 2011 [15]

9 months

DPT3

Low level of knowledge among mothers and poor attitude of health workers

Improved program acceptance and immunization services

Cost of services, availability of vaccines not considered

 Brugha et al., 1996 [16]

8 months

BCG; poliovirus, DPT3, measles

Lack of awareness

Improvement of immunization coverage through community health training.

Contamination of control group

 Rahman et al., 2013 [17]

6 months

DPT1, DPT2, DPT3, Measles

Lack of information/motivation

Vaccination coverage rates improved in intervention villages

Study restricted to a tribe influenced by peer-leader

 Williams et al., 2019 [47]

5 months

Influenza

Religious beliefs/attitude

No significant outcome

Small study size

 Nasiru et al., 2012 [21]

6 months

Polio vaccine

Attitude/misinformation

Effective communication and polio outreach campaigns-increased vaccine uptake

Population dynamics not considered

 Ofstead et al., 2013 [22]

3 months

Influenza

Misconceptions

Substantial increase in vaccination rate

No psychometric evaluation

 Usman et al., 2011 [23]

90 days

DTP

Lack of knowledge

Infant vaccination increased

Lack of complete follow-up

 Spleen et al., 2011 [19]

1 year

HPV vaccine

Lack of parental attitude/knowledge

Increased vaccine acceptability

Study limited to small parent sub-group

 Lau et al., 2012 [20]

6 months

Influenza

Lack of knowledge

Improved uptake of influenza vaccination and utilization of health services

Seasonal variations of influenza not considered.

Incentive-based approach

 Mouzoon et al., 2010 [24]

6 years

Influenza

Lack of familiarity or comfort with vaccination in pregnancy

Vaccination acceptability increased in pregnant females

Lack of baseline data

 Banerjee et al., 2010 [25]

18 months

BCG, DPT, oral polio vaccines, measles

Lack of awareness

Increased uptake of immunization services.

Not a blinded study

 Stitzer et al., 2009 [27]

6 months

HBV

Negligence

Motivation leading to attending vaccination sessions

Small sample size, homogeneity of sample

 Barham et al., 2008 [26]

2 years

BCG, MCV, OPV3, DPT3

Lack of finance and motivation

Vaccination coverage increased dramatically

Proximity to availability of vaccine to study group not considered

 Robertson et al., 2013 [28]

1 year

Childhood vaccination

Lack of motivation

No increase in vaccination uptake

Short intervention period

Technology-based health literacy

 Ansari et al., 2007 [29]

1-day study

Polio vaccine

Misguided information/rumors

Correct health education leading to vaccine acceptance

Other parameters and lack of existing immunization not considered

 Williams et al., 2013 [18]

2 months

Pertussis, varicella, pneumococcal

Negative parent attitude regarding safety/necessity of vaccine

Educational intervention with 8-min video improved vaccine acceptance

Social desirability bias

 Maltezou et al., 2009 [30]

1 year

Influenza

Lack of time and inconvenience

Lectures in hospital/mobile vaccination team visit-significant impact

No baseline data; no feedback

 Fiks et al., 2013 [31]

1 year

HPV

Parental concerns, clinicians’ beliefs and practice concerns.

Combined interventions increased vaccination rates

Lack of large-scale study

 Muehleisen et al., 2007 [32]

9 months

DTAP, HBV, HiB, IPV, MMR, Td

Lack of parental awareness

Increased reporting of immunization

Improper documentation/lack of prior immunization records, single-centric study

 Ahlers-Schmidt et al., 2010 [33]

Not mentioned

General vaccine

Parental concerns about safety and lack of knowledge

Increased vaccine acceptability

Demographically not generalizable

 Cates et al., 2011 [34]

6 months

HBV

Lack of awareness

Increase in vaccination acceptance and uptake

Socio-economic disparity in demographics

 Pandey et al., 2011 [35]

Not mentioned

HPV

Inadequate information

Female students had better awareness; medical teaching had better impact

Single-centric study

Media-based approach

 Brown et al. 2015 [44]

Not mentioned

Routine vaccine

Not mentioned

60% mothers preferred immunization reminders by cellphones and SMS

Study not including rural population

 Saville et al., 2014 [45]

4 months

General vaccine

Not mentioned

Preferred modality email or telephone

Socio-economic demography not generalizable

 Hofstetter et al., 2013 [43]

3 months

General vaccine

Not mentioned

Text messages recall widely accepted

Socio-demographic data not generalizable

 Kharbanda et al., 2009 [42]

Not mentioned

General vaccine

Not mentioned

Preferred method was text messages

Demographically not generalizable

 Clark et al., 2015 [41]

Not mentioned

General vaccination

Not mentioned

Parents more willing to communicate by phone call

Lack of specificities

 Lemstra et al., 2011 [40]

1 year

MMR

Low income

Limited additional benefits

Substantial study population not able to be contacted; incorrect telephone data

 Milkman et al., 2011 [38]

1 month

Influenza

Lack of knowledge

Increased vaccination rate

Small sample size; single-centric study

 Stockwell et al., 2012 [37]

6 months

Meningococcal (MCV4); tetanus diphtheria-acellular pertussis (Tdap)

Low income

Immunization reminders beneficial; increased vaccine uptake

Lack of sample size of parents recorded in cell phone registry

 Zhang et al., 2019 [36]

Not mentioned

Acceptance of new target vaccination policy

Negative attitude towards immunization

Public figures/media messages can influence attitudes

Small study size. Did not identify demographic predictors

 Garcia-Dia, 2017 [46]

3 months

Routine vaccine

Lack of awareness

Preference of text message along with Picture

Study conducted only in rural setting

 Moniz et al., 2013 [39]

2 years

Influenza

Lack of awareness

Text messages not effective

Single socio-demographic group