|Year : 2019 | Volume
| Issue : 1 | Page : 136
Factors associated with the completion of the continuum of care for maternal, newborn, and child health services in Ethiopia. Multilevel model analysis
Eshetu E Chaka1, Mahboubeh Parsaeian2, Reza Majdzadeh2
1 Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences International Campus (TUMS-IC), Tehran, Iran; Department of Public Health, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia
2 Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
|Date of Submission||22-Jan-2019|
|Date of Acceptance||02-Apr-2019|
|Date of Web Publication||12-Aug-2019|
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran
Source of Support: None, Conflict of Interest: None
Introduction: Assuring completion of a continuum of maternal health care is a key program strategy to minimize morbidity and mortality of maternal and child. We aimed to examine completion of a continuum of care and its associated factors. Methods: This cross-sectional study was analyzed from the 2016 Ethiopian Demographic and Health Survey data. Multilevel logistic regression was used to assess the relationship between completion of a continuum of care and independent variables, in which each individual woman (level-1) nested within a community (level-2). Results: About 9.1% of Ethiopian women complete the continuum of care. Odds of completing continuum of care was more likely among those women formally employed (odds ratio, OR = 2.14; 95% confidence interval, CI: 1.37–3.35), from the female-headed household (OR = 1.58; 95% CI: 1.08–2.31), and gave birth at health facility (OR = 4.85; 95% CI: 1.75–13.37) than their counterpart. Maternal health services during antenatal care, such as blood pressure measured (OR = 4.31;95% CI: 2.47–7.52), informed about pregnancy complication (OR = 1.57;95% CI 1.61–2.11), and received tetanus injection (OR = 2.04; 95% CI: 1.42–2.92) were associated with completion of continuum of care. Similarly, the perception of women that money is not a problem in accessing healthcare (OR = 1.40; 95% CI: 1.03–1.90) was significantly associated with completion of a continuum of care. Conclusions: Most women failed to complete the continuum of care. Factors related to individual, community, access to health services, and services provided during antenatal care were positively affect completion of the continuum of care. Therefore, effort should focus on the integration of maternal health care services and targeting those factors facilitating the completion of the continuum of care.
Keywords: Continuity of patient care, maternal health, postnatal care, prenatal care
|How to cite this article:|
Chaka EE, Parsaeian M, Majdzadeh R. Factors associated with the completion of the continuum of care for maternal, newborn, and child health services in Ethiopia. Multilevel model analysis. Int J Prev Med 2019;10:136
|How to cite this URL:|
Chaka EE, Parsaeian M, Majdzadeh R. Factors associated with the completion of the continuum of care for maternal, newborn, and child health services in Ethiopia. Multilevel model analysis. Int J Prev Med [serial online] 2019 [cited 2019 Dec 7];10:136. Available from: http://www.ijpvmjournal.net/text.asp?2019/10/1/136/264168
| Introduction|| |
Although the impressive progress gained for maternal and child health during the millennium development goals era, over 5.6 million women and babies died in 2015 due to complications during pregnancy, birth, and in the first month of life. Sub-Saharan Africa accounts for 62% of the majority of maternal deaths occurred. And 1 in 12 children born will not celebrate their fifth birthday. Additionally, mortality among newborns remains a critical challenge comprise 45% of the under-5 childhood deaths globally.
Antenatal care (ANC), skilled birth attendants (SBA), and postnatal care (PNC) are crucial maternal healthcare services for improving many health outcomes of mothers and babies , because these services make sure early detection and management of complications, such as hemorrhage. Continuum of care for maternal, newborn health, and child health promote the continuity of care throughout the lifecycle—adolescence, pregnancy, childbirth, postdelivery period, and childhood. Service provided in continuum of care minimize maternal, neonatal and child morbidity and mortality.,,
A continuum of care (CoC) links crucial interventions across the pregnancy, delivery, and postpartum stages. The advantages of CoC are that each stage builds on the success of the previous stage. A lack of appropriate care at any stages of CoC is associated with poor maternal health outcomes.,,,
Many studies were conducted to identify factors affecting antenatal care, skilled birth attendance, or postnatal care separately.,, We are interested to study from a perspective of a continuum of care using multilevel model analysis. No such kind of study has been conducted in Ethiopia. Thus, the study aimed to assess the status of completion of continuum of care and examine its associated factors.
| Methods|| |
Data sources and study participants
For this cross-sectional study design, the data were extracted from the 2016 Ethiopia Demographic Health Survey. This study was restricted to 1342 women who had reported that they have received at least four antenatal care visits and skilled birth attendance. Only the most recent live birth was considered in this study. This study approved by the ethical committee of Tehran University of Medical Sciences (code number: IR.TUMS.SPH.REC.1396.4802).
Completion of a continuum of care is the outcome variable. It is coded as complete when the women received at least four antenatal care (ANC4+), skilled birth attendance (SBA), and PNC; and coded as incomplete if the women received ANC4+ and SBA but not received PNC.
Independent variables include mother's age, mother's education, mother employment, marital status, religious, residence, region, sex of household head, birth order and place of delivery. Access to health service variables: perception of getting money, getting permission, and distance to a health facility. Maternal health service during ANC visit, such as blood pressure measured, blood sample has taken, urine sample was taken, received tetanus injection and informed about pregnancy complication.
A two-level multilevel logistic analysis was employed to a hierarchical structure data with an individual woman nested within a community. It enables partitioning of the total variation in the outcome into within-group and between-group components., The following equation was used to explain the multilevel model:
Logit (Pij) = β0+ β1I + β2C + uj (1)
Where, Pij is the probability of the outcome of interest for women i th in the community j th; β0 is the random intercept that represents the unobserved heterogeneity in the overall response; β's is a fixed effect coefficient measure the effect of independent variables; I and C refer to individual- and community-level independent variables respectively, and uj is random effects at level-2 representing the effect of jth community on outcome variable.
Model-0, Model-1, and model-2 fitted without explanatory variables, with individual-level, and both individual-level and community-level variables respectively. Chi-square test, Wald test, and likelihood ratio test and Akaike Information Criterion were used in bivariate, multivariate analysis and in comparing models, respectively. Categorical data and continuous data were presented using proportion and standard error. Odds ratio (OR) along with 95% confidence intervals (CI) was used to measure association.
The intracluster correlation coefficient (ICC) used to measure variation. The ICC expresses the proportion of total variance at community level and calculated as:
Where, π2/3-within-community variance usual equal to 3.29 in multilevel logistic regression; σ2 u-between-communities variance. All statistically significant set at P value <0.05. All statistical analyses were done using STATA 13.
| Results|| |
Descriptive information of respondents
The likelihood of completing continuum of care is higher among women living in Tigray than women living in another region. More than half of women in urban areas reported completing continuum of care compared to women from rural areas [Table 1]. Overall, only 9.1% of women had a completed continuum of care in Ethiopia [Figure 1]. A substantial number of women were drop out across the continuum at both delivery level and postnatal level [Figure 2].
|Table 1: Percentage distribution of women with the completion of the continuum of care by selected factors, Ethiopia (n=1342)|
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|Figure 1: Percentage of women completing continuum of maternal health care among women who gave live births for the most recent live births in the last 5 years preceding the survey (N = 7590) in Ethiopia|
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|Figure 2: Percentage of women who drop out from a continuum of care, 2016 Ethiopian Demographic and Health Survey|
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There is a significant variation in the odds of completing a continuum of care across communities. The variance in the odds of completing a continuum of care was attributed to between-community level is 24%. This variation remained significant however ICC decreased from 24% to 22.4% in model-1 and to 20.4% in model-2.
The odds of completing continuum of care was more likely among those women formally employed (odds ratio (OR) = 2.14; 95% confidence interval (CI): 1.37–3.35), gave birth in a health facility (OR = 4.85; 95% CI: 1.75–13.37) and with six or more birth order (OR = 2.47; 95% CI: 1.31–4.69). Women from female-headed households (OR = 1.58; 95% CI: 1.08–2.31) and that perceived money is not a problem to access healthcare (OR = 1.40; 95% CI: 1.03–1.90) were more likely to completing continuum of care [Table 2].
|Table 2: Two-level mixed-effects logistic regression on completion of continuum of care among women with a live birth, Ethiopia|
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| Discussion|| |
Overall, only about 9.1% of women completed the continuum of care. The finding is consistent with studies conducted in Ghana and Tanzania where completion of a continuum of care was 8%, and 10% respectively.,,, However, it is inconsistent with the study done in Nepal, Pakistan, and Cambodia reported that 46%, 27%, and 60% of women completed the continuum of care respectively.,, The difference may be due to regional difference in term of health services accessibility and socioeconomics.
The study also showed almost equal dropped out across the continuum at delivery level and postnatal level. This finding contrast with a study done in Nepal and Cambodia that reported the highest dropout occurred at delivery level., Moreover, the finding was inconsistent with a study done in Ghana and Tanzania in which the highest dropouts reported at postnatal level.,
Although the age of mother at last birth is significantly associated with completion of the continuum of care in a study done in Pakistan and Ghana, it found nonsignificant in this study., However, the finding was in line with the study done in Cambodia.,, In contrast to other studies unemployed, unskilled employed, and formally employed women were significantly associated with completion of a continuum in this study.,
Mother's education, wealth quintile, exposure to media, and distance from a health facility were not significantly associated with completion of a continuum of care as other studies elsewhere., However, belonging to higher wealth quintile,,, a higher level of educational,, and exposure to mass media  were significantly associated with completion of a continuum of care. Those women received maternal health care service during ANC were more likely to complete continuum of care. As a fact that women informed better about pregnancy and recognize the importance each service provided.
The limitation of this study is that the information about women who died due to childbirth-related complications was not included in the study sample and since that data collected retrospectively there is recall bias. The strength of this study lies in the national representative of data and in the use of multilevel model analysis.
| Conclusions|| |
Most women failed to complete the continuum of care. Employment status, female-headed household, delivery at health facilities, and living in the advantaged regional state were positively associated with completion of a continuum of care. Having the recommended maternal health care during ANC promotes the completion of the continuum of care. Therefore, effort should focus on increase completion of a continuum of care, tracking the progress of women along the continuum of care, and targeting those factors influence positively the completion of the continuum of care.
Financial support and sponsorship
This work was supported by Tehran University of Medical Sciences international campus (IR.TUMS.SPH.REC.1396.4802).
Conflicts of interest
There are no conflicts of interest.
| References|| |
Lawn JE, Blencowe H, Kinney MV, Bianchi F, Graham WJ. Evidence to inform the future for maternal and newborn health. Best Pr act Res Clin Obstet Gynaecol 2016;36:169-83.
WHO | SDG 3: Ensure healthy lives and promote wellbeing for all at all ages. WHO 2017/03/23/20:16:53; Available from: http://www.who.int/sdg/targets/en/
. [Last accessed on 2018 Oct 20].
Carroli G, Rooney C, Villar J. How effective is antenatal care in preventing maternal mortality and serious morbidity? An overview of the evidence. Paediatr Perinat Epidemiol 2001;15:1-42.
Hollowell J, Oakley L, Kurinczuk JJ, Brocklehurst P, Gray R. The effectiveness of antenatal care programmes to reduce infant mortality and preterm birth in socially disadvantaged and vulnerable women in high-income countries: A systematic review. BMC Pregnancy Childbirth 2011;11:13.
Say L, Chou D, Gemmill A, Tunçalp Ö, Moller AB, Daniels J, et al
. Global causes of maternal death: A WHO systematic analysis. Lancet Glob Health 2014;2:e323-33.
Kerber KJ, de Graft-Johnson JE, Bhutta ZA, Okong P, Starrs A, Lawn JE. Continuum of care for maternal, newborn, and child health: From slogan to service delivery. Lancet 2007;370:1358-69.
Martines J, Paul VK, Bhutta ZA, Koblinsky M, Soucat A, Walker N, et al
. Neonatal survival: A call for action. Lancet 2005;365:1189-97.
Tinker A, ten Hoope-Bender P, Azfar S, Bustreo F, Bell R. A continuum of care to save newborn lives. Lancet 2005;365:822-5.
Shibanuma A, Yeji F, Okawa S, Mahama E, Kikuchi K, Narh C, et al.
The coverage of continuum of care in maternal, newborn and child health: A cross-sectional study of woman-child pairs in Ghana. BMJ Glob Health 2018;3:e000786.
Bashour HN, Kharouf MH, AbdulSalam AA, El Asmar K, Tabbaa MA, Cheikha SA. Effect of postnatal home visits on maternal/infant outcomes in Syria: A randomized controlled trial. Public Health Nursing 2008;25:115-25.
Lassi ZS, Majeed A, Rashid S, Yakoob MY, Bhutta ZA. The interconnections between maternal and newborn health--evidence and implications for policy. J Matern Fetal Neonatal Med 2013; 26:3-53.
Titaley CR, Dibley MJ, Agho K, Roberts CL, Hall J. Determinants of neonatal mortality in Indonesia. BMC Public Health 2008;8:232.
Liebowitz B, Brody EM. Integration of research and practice in creating a continuum of care for the elderly. Gerontologist 1970;10:11-7.
Bohren MA, Hunter EC, Munthe-Kaas HM, Souza JP, Vogel JP, Gülmezoglu AM. Facilitators and barriers to facility-based delivery in low-and middle-income countries: A qualitative evidence synthesis. Reprod Health 2014;11:71.
Gabrysch S, Campbell OMR. Still too far to walk: Literature review of the determinants of delivery service use. BMC Pregnancy Childbirth 2009;9:34.
Rosato M, Laverack G, Grabman LH, Tripathy P, Nair N, Mwansambo C, et al
. Community participation: Lessons for maternal, newborn, and child health. Lancet 2008;372:962-71.
Ononokpono DN, Odimegwu CO. Determinants of maternal health care utilization in Nigeria: A multilevel approach. Pan Afr Med J 2014;17(Suppl 1):2.
Zerai A. Preventive health strategies and infant survival in Zimbabwe. Afr Dev 1997;22:101-129.
Goldstein H, Browne W, Rasbash J. Partitioning variation in multilevel models. Understanding statistics 2002;1:223-31.
Yeji F, Shibanuma A, Oduro A, Debpuur C, Kikuchi K, Owusu-Agei S, et al
. Continuum of care in a MNCH program in Ghana: Low completion rate and multiple obstacle factors. PLoS One 2015;10:e0142849.
Mohan D, LeFevre AE, George A, Mpembeni R, Bazant E, Rusibamayila N, et al
. Analysis of dropout across the continuum of maternal health care in Tanzania. Health Policy Plan 2017;32:791-9.
Singh K, Story WT, Moran AC. Assessing the continuum of care pathway for maternal health in South Asia and Sub-Saharan Africa. Matern Child Health J 2016;20:281-9.
Kikuchi K, Yasuoka J, Nanishi K, Ahmed A, Nohara Y, Nishikitani M, et al
. Postnatal care could be the key to improving the continuum of care in MCH in Ratanakiri, Cambodia. PloS One 2018;13:e0198829.
Iqbal S, Maqsood S, Zakar R, Zakar MZ, Fischer F. Continuum of care in maternal, newborn and child health in Pakistan: Analysis of trends and determinants from 2006 to 2012. BMC Health Serv Res 2017;17:189.
Tamang TM. Factors Associated with Completion of Continuum of care for Maternal Health in Nepal. In: proceedings of the IUSSP XXVIII International Population Conference, Cape Town, South Africa 2017.
Wang W, Hong R. Levels and determinants of continuum of care for maternal and newborn health in Cambodia-evidence from a population-based survey. BMC Pregnancy Childbirth 2015;15:62.
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[Table 1], [Table 2]