Research Article | OPEN ACCESS DOI: 10.23937/2469-5769/1510079

Assessment of Magnitude and Associated Factors of Immunization Drop Out Rate for Children Aged 12-23 Months In Abobo District South West Ethiopia

Ayalew Kassaw, BSC, MPH IN RH1, Abebe Gebere Mariam, BSC, MPH, PHD2, Alemi Kebede, BSC, MPH IN RH2 and Fassikaw Kebede, BSC, MPH (Epidemiology)3*

1Department of Nursing, Gambella College of Health Science, Ethiopia

2Department of Population and Reproductive Health, Institute of Health, Jimma University, Ethiopia

3Department of Epidemiology, School of Public Health, College of Health Science, Woldia University, Ethiopia


Vaccination is the epicenters of preventive care for good children health outcomes in each nation. Nevertheless, numbers of factors have been hindering the attainment of targets to provide complete vaccination in different nations. The aim of this study is to assessed predictors of immunizations in 12-23 months aged children in Abobo District, Gambela regions south west Ethiopia.

Method: A community based cross-sectional study was employed in 436 pairs of mothers to children aged 12-23 months from 12 march - 27 April 2019. The study participant were recruited by multistage-sampling were used for each kebele. Data were entered into Epi-Data version 3.1 after cleaned and coded, exported to STATA/SE-14/R analysis of logistic regression. Variables with P-value < 0.25 in bivariate logistic regression were transported in to multivariable logistic regression; a variable with 95% CI in AOR was used claim predictors for dropout rate.

Results: The overall dropout rate of immunization from completion was found 25.8% (95% CI: 21.5-30.2). Factors like mothers did not attend ANC (AOR = 4.59, 95% CI: 2.58, 7.84), being home delivery (AOR = 6.46, 95% CI: (3.5-11.4), postponed last immunization scheduled (AOR = 3.44, 95% CI: 1.98-5.97), children ill during measles vaccine (AOR = 1.83, 95% CI: (1.02-3.28), Mothers refused ≥ 30 minutes for vaccine service waiting (AOR = 3.58, 95% CI: (1.99, 6.44) were significantly associated with immunization dropout out.

Conclusion: The immunization dropout rate was unacceptable and higher as compare with WHO reference (< 10%). Home deliver, postponed measles vaccine, child illness, ANC status Service refusal ≥ 30 minutes waiting for vaccine were independently associated with dropout.


Immunization dropout, Under-five children, South West Ethiopia


ANC: Ante Natal Care; AOR: Adjusted Odds Ratio; BCG: Bacillus Callmete Guerin; CDC: Centers For Disease Control; CI: Confidence Interval; COR: Crude Odds Ratio; EPI: Expanded Program on Immunization


Immunization is the incitement of changes within the immune system through which protection happens. It is considered as one of the foremost cost-effective and capable wellbeing mediations, which reduce childhood dreariness, mortality and disability [1,2]. Globally, 19.9 million newborn children were under-vaccinated. Of which 12.4 million lived in 10 nations, 5.6 million of them still dying every year by vaccine-preventable diseases. The sub-Saharan African countries took the lion's share of 80% of the death [3,4]. Even in Africa has made remarkable progress of immunization services, around 14.8 million (68%) children who did not receive the DTP3 vaccine during the first year of life lived in 10 countries. According to 2013 immunization data report of Africa, Ethiopia has the second largest number of incompletely vaccinated children from the region, next to Nigeria [5]. In Ethiopia, 70-80% of children received BCG initially, however 50-54% of them received end measles containing vaccine on schedule [5,6]. Many peer reviewed research on immunization dropout rate indicated that socio-economic and demographic factor, difficult on topography, armed conflict, maternal knowledge are factors that affect the completion of childhood immunization [7-11].


Study setting and populations

A community based cross-sectional study was employed among randomly selected 436 pairs of mothers to children aged 12-23 months children from 12 march - 27 April 2019 in anguawa districts, which is one of the five districts with 24 kebeles in Gamble Regional state southwest, Ethiopia.

Source population and study population: All children aged 12-23 months of aged with a history of vaccination were source populations for this study.

Whereas, children aged 12-23 months of aged with a history of vaccination from 12 marches up to 27 April 2019 were study populations.

Inclusion criteria: Study participant who resident at least six month in Abobo districts of Gambela regions.

Sample size determination and procedures

Sample size was calculated by using single population formula considering the following assumption. Confidence interval of 95%, Zα/2 = 1.96 at 95% CI, d ≤ 1/5 over all dropout rate of p = 22.2% and d = 5% design effect 1.5 and non-response rate 10%, there for the final sample size for the study to be 436 using this formula n= Zα/2 P 1P D 2 [9,12]. There are total of 24 kebele in Abobo districts, multi-stage sampling procedure was used to obtain the representative study populations. In the first stage, simple random sampling of lottery methods was used to select 8 (out of 24) Kebele. At end sampling frame was prepared for 12-23 month child-mother paired on excels after proportional sample allocations for each kebele was allocated based on their source of population.

Outcome ascertainments: The outcome variables for this research are 12-23 month children "completed vaccinated/ not completed" vaccination. Whereas ages of mothers, family occupation, PNC service, and comorbidity etc.

Operational definition

Dropout rate (DOR): is the rate difference between the initial vaccines (BCG or Pentavalent I) and the final vaccines (Pentavalent III or Measles). BCG to Measles dropout rate: the percent of children vaccinated for BCG who does not receive measles vaccine. BCG = Measles dropout rate, over all dropout rate BCGMeasles100% BCG [13].

Data collection instruments

Pre-tested structured questionnaire were used to collect data from respondents. The questionnaire was prepared first in English and translated to the local language. The four diploma nurses and one supervisor were recruited for data collection with one day training before collections.

Data analysis procedure

Epi Data version 3.1 and STATA/R14 (SE) version software were used for data entry and analysis. All bivariate at p-value ≤ 0.25 was exported to multivariable logistic regression. Variables with p-value less than 0.05 with their respective adjusted odd ratio (AOR) with 95% CI were declared as independent predictors for Vaccine dropout.


Socio-demographic characteristics

From total 436 study participant, 422 were interviewed with (response rate 96.8%). Mean age of the respondents were 30 years with (SD ± 6). Nearly two-third 273 (64.6%) mothers had unable to read and write, but 296 (70.1%) caregiver mothers decide immunization service utilization of their children by themselves (Table 1).

Table 1: Socio-economic and demographic characteristics of the study participants in Abobo District, Gambella, 2019. View Table 1

Baseline clinical factors of children

The mean age of children was 16 months with (SD ± 2.8), while more than half 221 (52.4%) of children were males in sex and nearly 257 (60.9%) of them were found within second and fourth birth order. One-fourth of 106 (25.1%) the children defaulted from schedule immunization due to medical comorbidity. whereas, 163 mothers -child paired did not started any ANC before delivery.

Immunization dropout status reasons

The overall immunizations dropout rate was found to be 25.8% (95% CI: 21.5-30.2). Out of the total 109 (25.8%) dropout of immunization schedule, 37 (33.9%) were due to absence of staff at health facility, while 21 (19.3%) and 17 (15.6%) were lack of patience for ≥ 30 minute service waiting were some of factors mentioned.

Independent factors associated with immunization dropout

During binary analysis eleven independent variables were found for nominated as candidate for multivariable logistic regressions having p-value of < 0.25. However after controlling confounding in multivariable logistic regression, five independent predictors were found for immunization dropout rate at p-value < 0.05 were identified.

A child whose mothers did not attend at least once ANC visit during pregnancy was 4.59 times (AOR = 4.59, 95% CI: 2.58-7.84) more likely to dropout out as compared with counterpart. Health institution delivery was indispensible for having well baby and mother after labor in-addition to PNC service unitization and BCG vaccine initiations. However mothers who delivered at home were 6.46 times (AOR = 6.46, 95% CI: (3.5-11.4)) more likely dropout from immunization than mothers who deliver at health facility. Mothers who encountered postponed last immunization schedule by service provider were 3.44 times AOR = 3.44, 95% CI: 1.98-5.97) more likely dropout as compared to those mothers who got service with exact scheduled. Mothers having ill children during measles immunization were 1.83 times (AOR = 1.83, 95% CI: (1.02-3.28) more like dropout as compared counterpart children. Mothers who did waited ≥ 30 minutes for service of immunization at health institution were 3.58 times (AOR = 3.58, 95% CI: (1.99-6.44) more likely drop out as compared to mothers who did not wait longer time at scheduled date of immunizations (Table 2).

Table 2: Multivariable analysis for determinant Factors associated with immunization dropout among children aged 12-23 in Abobo district, Southwest Ethiopia. View Table 2


The overall proportions of immunization drop out was found 25.8% (95% CI: 21.5--30.2). This is incomparable with WHO reference (< 10%) [7]. In fact this might be due to missed appointment date and lack of awareness by caretakers for the scheduled date by health facility. More over this report is higher than finding in n Basra 19.3% [11], Haryana India, 13.88% [12] and Arba Minch 11.7% [13]. This might be due to access to immunization service, and EPI implanting plane different from one area to others. However, it was lower than the previous studies conducted in the Jigjiga Somalia 40.3% [8], Uganda 47% [10].

The reason might be due to health service setup. According to report of this study absence of health workers at the time of immunization was associated with drop out. This is in line with study done in Sudan [14,15]. A child whose mothers fail to attend one of ANC visit during pregnancy was associated with dropout from immunization as compared to mothers followed ANC. This result is similar with finding in central Ethiopia [16]. Similarly mothers who delivered at home in this research were more likely to dropout from who deliver at health facilities. This is agreed with study done in Jigjiga [8]. A Possible explanation for this finding might be mothers who give birth at home would not have communication with health professionals and contact to know about immunization at postnatal periods. However, those health care providers postponed immunization schedule were significant association dropout rate. Those mothers who encountered postponed schedule of last immunization date by service provider were more likely to dropout. This finding is supported in finding in south Ethiopia [17-20]. On the same way, mothers who waited ≥ 30 minutes at health facility for immunize program were more likely to drop out as compared to mothers who did not wait longer than thirty minutes'. This finding is in line with Benin [10]. This might be mothers does not motivate for accumulation of last immunization schedule next time.


This study revealed child immunization dropout in 12-23 months age was higher and unacceptable range as compared with WHO recommendations.


We would like to thanks all data collector and supervisors of Abobo districts and administrative staffs.

Authors' Contributions

AK was involved in the conception, design, analysis and interpretation of the data, report writing and drafting of the manuscript. FK, AG and AK assisted with the conception, designing, analysis of the study and critically reviewed the manuscript and all authors approved the final manuscript.

Ethical Clearance

Ethical clearance was obtained from Jimma University Research Ethics Review Committee (JURERC) with (Ref. No: JHRPGI|723/2019) & issued data 21/02/2019) to obtain formal letter.

Of clearance to conduct this research, written official letter of cooperation from Jimma University was given to Abobo District health office.

Data Set

All data used in this obtained upon formal request from main author.


The study was fully funded by Jimma University.

Consent for Publication

There is no consent for publication for this research.

Disclosure/Conflicts of Interest

The authors declare that there are no conflicts of interest for this research.


  1. India FMOH (2018) Immunization_Handbook_for_Health_Workers. 1-172.
  2. WHO (2016) Global Routine Immunization Strategies and Practices (GRISP). 1-80.
  3. CDC (2018) Global introduction of new vaccines: Delivering more to more.
  4. Working Group Vaccine (2014) Report of the sage working group on vaccine hesitancy.
  5. JSI: Research and Training Institute (2015) Extended Program on Immunization (EPI) coverage in selected Ethiopian zones: A baseline survey for L10K's Routine Immunization Improvement Initiative.
  6. (2016) Ethiopia demographic and Health Survey (EDHS). Ethiopia.
  7. WHO (2018) Strategic advisory group of experts on immunization. Global Vaccine Action, Geneva.
  8. Liu PY (2017) Global, regional, and national vaccination coverage and immunization system indicators in 195 countries from 1980-2016. 1-21.
  9. Mohamud AN, Feleke A, Worku W, Kifle M, Sharma HR (2014) Immunization coverage of 12-23 months old children and associated factors in Jigjiga District, Somali National Regional State, Ethiopia. BMC Public Health 14: 865.
  10. Etana B, Deressa W (2012) Factors associated with complete immunization coverage in children aged 12-23 months in Ambo Woreda, Central Ethiopia. BMC Public Health 12: 566.
  11. Adedemy DJ, Noudamadjo A, Agossou J, Aïfa JG, Esse MA, et al. (2015) Factors associated with drop-out between tuberculosis and measles immunization among infants in Parakou (Benin) in 2012. Pediat Therapeut 5: 1-8.
  12. Abdalsaid EM, Alhilfi RA, Maki ZT (2017) Immunization coverage and its determinants in children aged 12-23 months in Basrah. The Medical Journal of Basrah University 35.
  13. Goyal S, Kumar V, Garg R (2017) Evaluation of primary immunization coverage among children in a rural block of district Rohtak, Haryana, India. 4: 1612-1619.
  14. Animaw W, Taye W, Merdekios B, Tilahun M, Ayele G (2014) Expanded program of immunization coverage and associated factors among children age 12-23 months in Arba Minch town and Zuria district, Southern Ethiopia, 2013. BMC Public Health 14: 164.
  15. Wado YD, Afework MF, Hindin MJ (2014) Childhood vaccination in rural southwestern Ethiopia: The nexus with demographic factors and women's autonomy. Pan Afr Med J 17: 9.
  16. Debie A, Taye B (2014) Assessment of fully vaccination coverage and associated factors among children aged 12-23 months in Mecha district, North West Ethiopia: A cross-sectional study. Science Journal of Public Health 2: 342-348.
  17. Tadesse H, Deribew A, Woldie M (2009) Predictors of defaulting from completion of child immunization in South Ethiopia, May 2008: A case control study. BMC Public Health 9: 150.
  18. (2018) Gambella regional health bureau annual performance report. 1-6.
  19. Ismail ITA, El-Tayeb EM, Omer MDFA, Eltahir YM, El-Sayed EA, et al. (2015) Assessment of routine immunization coverage in Nyala locality, reasons behind incomplete immunization in South Darfur State, Sudan. Asian J Med Sci 6: 1-8.
  20. Yenit MK, Gelaw YA, Shiferaw AM (2018) Mothers' health service utilization and attitude were the main predictors of incomplete childhood vaccination in east-central Ethiopia: A case-control study. Archives of Public Health76: 14.


Kassaw A, Mariam AG, Kebede A, Kebede F (2021) Assessment of Magnitude and Associated Factors of Immunization Drop Out Rate for Children Aged 12-23 Months In Abobo District South West Ethiopia. Int J Pediatr Res 7:079.