Abstract
Background
Quality antenatal care (ANC) is one of the four pillars of safe motherhood initiatives and improves the survival and health of mother and neonate. The main objective of this study was to assess the barriers in the utilization of ANC services in Kandahar, Afghanistan.
Methods
This was a cross-sectional analytical study conducted over one year from December 2018–November 2019. Data were analyzed by descriptive statistics, Chi squared, and binary logistic regression.
Results
A total of 1524 women were recruited in this study with mean age of 30.3 years. Of these women, 848 (55.6%) were rural dwellers, 1450/1510 (96.0%) were illiterate, 438/608 (72.0%) belonged to low-income families, 1112/1508 (73.7%) lived in joint families, 1420/1484 (95.7%) lived in a house of >10 inhabitants, while 388/1494 (26.0%) had attended had at least one ANC visit during their last pregnancy. On univariate analysis, the main barriers in the utilization of ANC services were living in rural areas, being illiterate, having lower socio-economic status, remoteness of the health facility from home, bad behavior of clinic personnel, and unplanned pregnancy. Only lower socio-economic status and bad behavior of clinic personnel were independent explanatory variables in the regression model.
Conclusions
Utilization of ANC services is inadequate in Kandahar province. Improving clinic staff professional behavior and status of women by expanding educational opportunities, and enhancing community awareness of the value of ANC are recommended.
Introduction
Globally, maternal mortality is one of the main public health issues [1]. It has been shown that better antenatal care (ANC) services improve the survival and health of both mothers and newborns [2]. World Health Organization (WHO) recommends at least eight ANC visits during pregnancy starting with the first visit at 12 weeks of gestational age (GA), then at 20, 26, 30, 34, 36, 38 and 40 weeks [3]. Afghanistan is among the top ten countries that contribute to more than half of the global maternal deaths [4,5]. In 2015 survey, only 59% of the pregnant women in Afghanistan attended at least one ANC visit [6].
In 2014, only 52% of the pregnant women attended four ANC visits in developing countries, where the mean MMR of 230/100,000 live births is 14 times greater than in developed countries [7]. Data show that when pregnant women in low- and middle-income countries (LMICs) receive better ANC from health facilities, most of the maternal and newborn deaths and pregnancy-related complications are prevented [8–11], e.g., neonatal deaths were 55% lower in women who had attended four ANC visits [12]. Moreover, ANC visits may detect early previously undiagnosed maternal morbidity as well as pregnancy related complications like eclampsia, small pelvis, and placenta previa [13,14]. ANC visits also provide a good opportunity for educating pregnant women about the warning symptoms and signs of common problems during pregnancy, healthy nutrition for the mother and newborn, and contraception for family planning [15].
Several factors affect ANC utilization in LMICs, including access to ANC, quality of ANC, socio-economic status, maternal education, demographic factors (e.g., maternal age and occupation), beliefs/knowledge about ANC, cultural beliefs, and previous obstetric history like unplanned pregnancy and parity [16–18].
Afghanistan is a low-income country and has been at war for several decades. As a result, the country faces significant challenges such as increasing poverty, continued political instability, and a devastated health infrastructure [5]. Afghanistan’s challenges have been unique in consideration of ongoing conflicts for the last 45 years. These conflicts have severely affected not only the capacity of the health services to deliver quality ANC but also the broader disruption to the social determinants of health. Nevertheless, all public health facilities continue to offer free medical care, including ANC visits. According to the WHO, Afghanistan is one of the worst countries for pregnant women with a maternal mortality ratio (MMR) of 638 deaths/100,000 live births in 2017 [19]. Comparatively, in 2017, Somalia and Yemen which are also countries with devastating civil war, MMR was 829 and 164 deaths/100,000 live births, respectively [19]. The 2002 Reproductive Age Mortality Survey (RAMOS) conducted in Afghanistan estimated the MMR to be 1,600 deaths/100,000 live births [20]. Although The 2010 Afghanistan Mortality Survey (AMS) estimated the MMR to be 327/100,000 live births [21], the result of this survey was controversial and not acceptable [22]. Finally, the Afghanistan Demographic and Health Survey (AfDHS) 2015 reported that the pregnancy related mortality ratio (all maternal deaths during pregnancy, child birth, or within two months after pregnancy) was 1,291 maternal deaths per 100,000 live births.[6]. According to AfDHS data, Afghanistan has the highest MMR in the world. Unfortunately, Afghanistan did not achieve the goal 5 of the Millennium Development Goals (MDGs) which was to reduce MMR to 75% by the year 2015 [23]. Also, the target 3.1 of the Sustainable Development Goals (SDGs) does not seem to be achieved which was to decreased MMR to <70/100,000 live births by the year 2030 [24]. In Afghanistan, ANC services are free at all public healthcare facilities. These facilities are provided by skilled healthcare staff including doctors, midwives, nurses, auxiliary midwives, and community health workers. Contrary, similar ANC services at private healthcare facilities are chargeable to the patients [6,25].
Studies from different parts of Afghanistan have revealed that the main factors affecting ANC utilization were level of maternal education, place of residence, previous health education on safe motherhood, media exposure, socio-economic status, availability of transport, and the behavior of healthcare personnel when seeing pregnant women [26–30]. There are very little published data regarding ANC utilization from Kandahar province which are solely limited to Kandahar city only [31,32]. We, therefore, investigated barriers in the ANC utilization in Kandahar city and Daman district located outside Kandahar city.
Materials and methods
Study design and period
This was a cross-sectional study questionnaire-based study that took place over 12 months from December 2018–November 2019.
Study site and population
Kandahar province was selected for research due to the fact that it is one of the most unsecure provinces of Afghanistan. This study was conducted in four public health clinics in Kandahar city (Amir Jan comprehensive health center [CHC], Shams-ul-Haq Kakar CHC, Al-Khidmat CHC, and Nazo Ana CHC) and two public health clinics in Daman district (Mandisar CHC and Khoshab sub-health center). These health clinics were randomly selected using lottery-method. Daman district is a rural area adjoining Kandahar city. The sampling population consisted of all married women who attended any of the above-mentioned clinics for any reason (not only women attending ANC visit) and reported a pregnancy in the last one year.
Primary objective
To assess the barriers in the utilization of ANC services in Kandahar Province, Afghanistan.
Inclusion criteria
Married women who had given birth in the past one year prior to the study.
Permanent residents for more than five years.
Exclusion criteria
Unmarried pregnant female. These females are excluded due to the facts that extramarital pregnancies are rare and also considered very big sin in the Afghan society. If the family members get information of extramarital pregnancy, there is a fear that the female can be tortured or even killed.
Patients who refused to take part in the study.
Sample size calculations
The sample size was based on the precision method and was calculated using Stata 15 (College Station, Texas, USA). Assuming an 85% response to a given question with a precision of 2%, the calculated sample size was 1440 females; in the event we analyzed 1524 females.
Ethical considerations
Written informed consent was obtained from all the participants prior to the study. Ethical approval was taken from Kandahar University Ethics Committee with the approval number of 244/1397.
Data collection and analysis
Data were collected from the respondents in a structured questionnaire developed based on relevant literature in a face-to-face interview. Initially, the questionnaire was drafted in English language. Later, it was translated into the local language (Pashto) by experts. Before the study, the questionnaire was pretested on 15 pregnant women attending ANC services in Shams-ul-Haq Kakar CHC with the aim of revising the poorly structured questions. The data were collected by trained female doctors and nurses using an exit interview with pregnant women. To ensure consistency, the data collection process was strictly supervised by principal investigator.
Data were analyzed with SPSS version 22 (Chicago, IL, USA) by descriptive statistics (proportions, means, and standard deviations). Chi squared (using crude odd ratio [COR]) was used to compare proportional data and ‘t’ tests and their nonparametric equivalents were used to analyze continuous data. All variables that were statistically significant in univariate analyses were assessed for independence in a binary logistic regression (using adjusted odd ratio [AOR]) to determine the factors affecting the utilization of ANC services. A P-value of <0.05 was considered statistically significant.
Receiving antenatal care was defined as a pregnant woman having at least one antenatal care check-up during their last pregnancy from health facility [33].
Distance to the nearby health facility was defined according to the history the mothers gave: near if mothers accessed the clinic < 30 minutes while “remote or far away” was defined as ≥30 minutes [34].
Study variables and their indicators
Socio-demographic characteristics included age, socio-economic status, employment, literacy level, residence, parity (number of babies delivered), and number of family members living in the same house.
Attitudes and practice included clinic staff behavior, at least one ANC visit done during last pregnancy, number of ANC visits during last pregnancy, and reason of not attending ANC visit.
These above-mentioned variables have been reported to be the barriers in the utilization of ANC services in Afghanistan [31] and other parts of the world [16–18].
Definitions
Low income = < 2500 Afghanis (< 30 USD) per month.
Middle income = 2500–20,000 Afghanis (30–250 USD) per month.
High income = > 20,000 Afghanis (> 250 USD) per month.
Negative clinic staff behavior
Presence of one or more of the following behaviors: hostility, aggressiveness, rudeness, disrespect, physical abuse or bullying toward the patients [25,26,36,37].
Results
Of the 1610 pregnant women who had visited their local ANC within 1 year, 1524 married women agreed to participate in the study. Their mean age was 30.3 years (range 16 to 50). More than half of them, 62.3% (950/1524) were aged between 21–30 years and 848 (55.6%) were rural dwellers.
Almost all, 1520/1524 (99.7%), were housewives, 1450/1510 (96.0%) were illiterate and 438/608 (72.0%) came from low-income families. The majority, 1112/1508 (73.7%), lived with extended families and 1420/1484 (95.7%) lived in households of >10 inhabitants (Table 1). Only 388/1494 (26.0%) attended the ANC at least once and main reason (511/1106 [46.2%]) for poor attendance was remoteness of the health facility from their home (Table 2).
Table 1. Socio-demographic characteristics of the study participants.
| Variable | Number (n = 1524) | Percentage (%) |
|---|---|---|
| Age (years) ≤20 21–30s 31–40 >40 |
92 950 406 76 |
6.0 62.3 26.7 5.0 |
| Socio-economic status (n = 1516) Low income Middle income High income |
528 782 206 |
34.8 51.6 13.6 |
| Employment Employed Housewife |
4 1520 |
0.3 99.7 |
| Literacy level (n = 1510) Literate Illiterate |
60 1450 |
4.0 96.0 |
| Number of babies delivered (n = 1450) 1 2–5 >5 |
152 876 422 |
10.5 60.4 29.1 |
| Number of children (n = 1400) 1 2–5 >5 |
90 810 500 |
6.4 57.9 35.7 |
| Age of last child (n = 1352) ≤1 year >1 year |
286 1066 |
21.2 78.8 |
| Type of family (n = 1508) Nuclear Joint |
396 1112 |
26.3 73.7 |
| Number of family members living in the same house (n = 1484) <5 5–10 >10 |
18 46 1420 |
1.2 3.1 95.7 |
Table 2. ANC-related and other variables in study participants.
| Variable | Number (n) | Percentage (%) |
|---|---|---|
| At least one ANC visit done during last pregnancy (n = 1494) Yes No |
388 1106 |
26.0 74.0 |
| Number of ANC visits during last pregnancy (n = 388) Once 2–4 times >4 times |
35 225 128 |
9.0 58.1 32.9 |
| Reason for not attending ANC visit (n = 1106) Clinic is far away No medicine in clinic No night duty staffs in clinic Clinic staff do not have good behavior Family does not allow |
511 362 57 22 154 |
46.2 32.7 5.2 2.0 13.9 |
| Clinic present near home (n = 1510) Yes No |
1100 410 |
72.8 27.2 |
| Distance from house to clinic (walking) (n = 1488) <30 minutes 30–60 minutes 61 minutes–2 hours >2 hours |
448 660 348 32 |
30.1 44.4 23.4 2.2 |
| Clinic staff behavior (n = 1476) Good Negative (not good) |
1114 362 |
75.5 24.5 |
| Planned pregnancy (n = 1000) Yes No |
804 196 |
80.4 19.6 |
| Method used to make drinking water safe (n = 1472) Boil Add bleach/chlorine Strain through a cloth Use water filter |
1106 160 128 78 |
75.1 10.9 8.7 5.3 |
ANC, Ante-natal care; n, number.
In the univariate analysis, significant barriers in the utilization of ANC services were living in rural areas (COR 1.4), being illiterate (COR 2.4), low socio-economic status (COR 1.5), remoteness of health facility from home (COR 1.8), bad behavior of clinic personnel (COR 3.2), and an unplanned pregnancy (COR 1.5). By logistic regression only two statistically significant barriers to ANC utilization remained: bad behavior of clinic personnel (AOR 9.4) and low socio-economic status (AOR 2.3). A higher literacy level was associated with greater utilization of ANC (Table 3).
Table 3. Univariate analyses and logistic regression of barriers to the utilization of ante natal care services.
| Variable | Total, n (%) | ANC visit(s) done | COR (95% CI) | P-value | AOR (95% CI) | P-value | |
|---|---|---|---|---|---|---|---|
| Yes, n (%) | No, n (%) | ||||||
| Age (years) (n = 1494) >30 ≤ 30 |
476 (31.9) 1018 (68.1) |
134 (28.2) 254 (25.0) |
342 (71.8) 764 (75.0) |
1 0.8 (0.7–1.1) |
0.189 | ||
| Place of living (n = 1494) Urban Rural |
666 (44.6) 828 (55.4) |
198 (29.7) 190 (22.9) |
468 (70.3) 638 (77.1) |
1 1.4 (1.1–1.8) |
0.003 |
1 2.3 (0.8–6.4) |
0.105 |
| Literacy level (n = 1480) Literate Illiterate |
60 (4.0) 1420 (96.0) |
27 (45.0) 359 (25.3) |
33 (55.0) 1061 (74.7) |
1 2.4 (1.1–5.0) |
0.022 |
1 0.1 (0.0–0.4) |
0.002 |
| Number of children (n = 1380) >5 ≤5 |
492 (35.7) 888 (64.3) |
120 (24.4) 256 (28.8) |
372 (75.6) 632 (71.2) |
1 1.3 (1.0–1.6) |
0.076 | ||
| Age of last child (n = 1344) ≤1 year >1 year |
284 (21.1) 1060 (78.9) |
48 (16.9) 310 (29.2) |
236 (83.1) 750 (70.8) |
1 0.5 (0.4–0.7) |
<0.001 | ||
| Type of family (n = 1478) Nuclear Joint |
384 (26.0) 1094 (74.0) |
80 (20.8) 306 (28.0) |
304 (79.2) 788 (72.0) |
1 0.7 (0.5–0.9) |
0.006 | ||
| Number of family members living in the same house (n = 116) <5 ≥ 5 |
18 (15.5) 98 (84.5) |
2 (11.1) 28 (28.6) |
16 (88.9) 70 (71.4) |
1 0.3 (0.1–1.4) |
0.120 | ||
| Socio-economic status (n = 1488) Low income Middle/High income |
514 (34.5) 974 (65.5) |
114 (22.2) 272 (27.9) |
400 (77.8) 702 (72.1) |
1 1.5 (1.2–1.9) |
0.001 |
1 2.3 (1.0–5.4) |
0.044 |
| Clinic present near home (n = 1480) No Yes |
404 (27.3) 1076 (72.7) |
74 (18.3) 314 (29.2) |
330 (81.7) 762 (70.8) |
1 1.8 (1.4–2.4) |
<0.001 |
1 0.5 (0.2–1.4) |
0.213 |
| Distance from house to clinic (n = 1460) <30 minutes ≥30 minutes |
440 (30.1) 1020 (69.9) |
116 (26.4) 270 (26.5) |
324 (73.6) 750 (73.5) |
1 1.0 (0.8–1.3) |
0.966 | ||
| Clinic staff behavior (n = 1458) Not good Good |
354 (24.3) 1104 (75.7) |
44 (12.4) 342 (31.0) |
310 (87.6) 762 (69.0) |
1 3.2 (2.2–4.4) |
<0.001 |
1 9.4 (2.4–36.7) |
0.001 |
| Planned pregnancy (n = 986) No Yes |
194 (19.7) 792 (80.3) |
34 (17.5) 194 (24.5) |
160 (82.5) 598 (75.5) |
1 1.5 (1.0–2.3) |
0.039 |
1 1.8 (0.6–5.2) |
0.274 |
ANC, Ante-natal Care; AOR, Adjusted Odds Ratio; CI, Confidence Interval; COR, Crude Odds Ratio; n, number.
Discussion
In this large survey from Kandahar, we collected data from 1524 women and identified two key independent factors for poor ANC utilization: poor professional behavior by clinic staff and low socioeconomic status. By contrast, a higher level of literacy was associated with greater utilization.
Very few ANC studies have been conducted in Afghanistan. Most published articles are based on the retrospective survey data conducted by Afghanistan MoPH; they show several overlapping reasons for poor ANC utilization [5,25–27,30,38]. The main independent factors associated with no ANC visits were young maternal age (15–19 years), being a working mother, and the decision for healthcare being taken by the husband [25]. In Kabul and Ghazni (a province SW of Kabul), underuse of ANC services was associated with low maternal motivation, family decision, notably the mother-in-law and husband not consenting to the ANC visit, lower socio-economic status, and transportation challenges [26]. A recent community-based cross-sectional study in Kandahar city revealed that main determinants of underuse of ANC utilization were illiteracy, unplanned pregnancy, and living in poorer districts of the city [31].
The main factors determining ANC utilization from different developing countries include illiteracy, lower socio-economic status, remoteness of the health facility, transportation challenges, and living in rural areas [39–45]. A study based on the evidence from demographic health surveys in sub-Saharan Africa revealed that main barriers to the utilization of ANC services were decreased literacy level, living in rural areas, low socio-economic status, and not getting permission to visit the health facility [46]. A systematic review and meta-analysis of 15 observational studies in Ethiopia concluded that rural residence, illiteracy of woman or her husband, and unplanned pregnancy were the main barriers in ANC services utilization [2].
We showed that poor professional behavior of clinic staff was a more important factor than socioeconomic status leading to a reluctance of women to attend ANCs. Another study in Afghanistan also reported significant dissatisfaction with the behavior of health personnel, which included verbal and physical abuse [26]. Health care dissatisfaction is also reported from Ethiopia. In Jimma (central Ethiopia), 67.1%, 49.9%, and 37.8% of the pregnant women were dissatisfied with the physical environment of the ANC, quality of care, and organization of health care [36]. In Kuala Lumpur, Malaysia, 81.3%, 61.7%, and 51.3% of the ANC attendants were not satisfied with the continuity of care, accessibility, and convenience in the antenatal clinic [37] and most women (60.7%) attending ANCs specializing in the prevention of maternal to mother transmission of HIV in Benin city, Nigeria, were dissatisfied with the counselling service [47].
Although ANC is free of charge in all public health facilities in Afghanistan, women may seek care in the private sector to avoid the disadvantages of the public health system such as unprofessional staff behavior, poor infrastructure, absent ANC staff, and a shortage of medications, especially in rural areas.
In the univariate analysis, rural women were less likely to attend ANC visits than their urban counterparts but this was not significant in the regression model; this result may have been due to reduced power in the model. By contrast, several studies report rural dwellers are less likely to attend ANCs in India [48], Nepal [49], Indonesia [50,51], Ghana [52], Sudan [53], and Ethiopia [54]. We found that a higher level of maternal literacy was associated independently with good ANC attendance, similar to many other studies [16,39,51,55–57]. A higher level of maternal education may mean that such women should be better informed of the benefits of ANC and better able to decide for themselves. If they are urban dwellers, they will also have greater access to health information and have greater accessibility to clinics [58,59]. Although remoteness from the nearest ANC was not a significant factor in our regression model, it was a key factor in a range of studies from Kenya [45], Rwanda [60], Ethiopia [61], Haiti [62], and Indonesia [63]; however, one Indian study found it was not a significant factor [39].
Limitations of the study
Although large, our study had limitations. We interviewed women once and so did not take into account risk factors that may change over time in attending the ANC. Another limitation could be recall bias because questions to women were about events in the past. Moreover, we did not ascertain the clinical course and outcome of the pregnancy in question or the presence of comorbidities.
Conclusions
The utilization of ANC services is very poor in Kandahar province. Although several intuitive reasons were identified in the univariate analysis, only poor staff behavior and low socioeconomic status were independent factors. More research is needed to explore other factors affecting women’s decision to forego ANC attendance like a previously complicated pregnancy, the presence of comorbidities, and experience with the private sector. Ways to improve the professionalism of clinic staff is needed urgently. Assessing simple, low-tech interventions like health messaging and the acceptability of training ‘bush’ midwives (also known as traditional birth attendants) to carry out simple pregnancy assessments in the field should be conducted. Moreover, improving the status of women by expanding educational opportunities, strengthening promotion of antenatal and delivery care by enhancing community awareness of the importance of antenatal, natal, and post-natal care are recommended.
Supporting information
(DOCX)
(SAV)
Acknowledgments
We present our highest and sincere thanks to the authorities Faculty of Medicine, Kandahar University, Directorate of Public Health, and staff members of health facilities. We are also very thankful of all the women who consented to take part in our study.
Data Availability
All relevant data are within the paper and Supporting Information files.
Funding Statement
This study did not receive any specific funding. WRT is partially-funded by Wellcome under grant 220211. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
References
- 1.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 Heal. 2014;2: e323–33. doi: 10.1016/S2214-109X(14)70227-X [DOI] [PubMed] [Google Scholar]
- 2.Tekelab T, Chojenta C, Smith R, Loxton D. Factors affecting utilization of antenatal care in Ethiopia: A systematic review and meta-analysis. Lassi ZS, editor. PLoS One. 2019;14: e0214848. doi: 10.1371/journal.pone.0214848 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.World Health Organization (WHO). WHO Recommendations on Antenatal Care for a Positive Pregnancy Experience: Summary. WHO. Geneva, Switzerland: WHO; 2018. ISBN 978 92 4 154991 2. [PubMed] [Google Scholar]
- 4.WHO, UNICEF, UNFPA, The World Bank, United Nations Population Division. Trends in maternal mortality: 1990 to 2015. Estimates by WHO, UNICEF, UNFPA, The World Bank and the United Nations Population Division. Geneva: WHO; 2015. [Google Scholar]
- 5.Mumtaz S, Bahk J, Khang YH. Current status and determinants of maternal healthcare utilization in Afghanistan: Analysis from Afghanistan demographic and health survey 2015. PLoS One. 2019;14: e0217827. doi: 10.1371/journal.pone.0217827 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Central Statistics Organization (CSO), Ministry of Public Health (MoPH), ICF. Afghanistan Demographic and Health Survey 2015. Kabul, Afghanistan: Central Statistics Organization; 2017. [Google Scholar]
- 7.Nations United. Millennium Development Goals Report 2015. New York: UN; 2015. [Google Scholar]
- 8.Hogan MC, Foreman KJ, Naghavi M, Ahn SY, Wang M, Makela SM, et al. Maternal mortality for 181 countries, 1980–2008: a systematic analysis of progress towards Millennium Development Goal 5. Lancet. 2010/04/13. 2010;375: 1609–1623. doi: 10.1016/S0140-6736(10)60518-1 [DOI] [PubMed] [Google Scholar]
- 9.Ronsmans C, Graham WJ. Maternal mortality: who, when, where, and why. Lancet. 2006;368: 1189–1200. doi: 10.1016/S0140-6736(06)69380-X [DOI] [PubMed] [Google Scholar]
- 10.World Health Organization (WHO). The World Health Report 2005. Make every mother and child count. Geneva; 2005. [Google Scholar]
- 11.Bhutta ZA, Ali S, Cousens S, Ali TM, Haider BA, Rizvi A, et al. Alma-Ata: Rebirth and Revision 6 Interventions to address maternal, newborn, and child survival: what difference can integrated primary health care strategies make? Lancet. 2008;372: 972–989. doi: 10.1016/S0140-6736(08)61407-5 [DOI] [PubMed] [Google Scholar]
- 12.Doku DT, Neupane S. Survival analysis of the association between antenatal care attendance and neonatal mortality in 57 low- And middle-income countries. Int J Epidemiol. 2017;46: 1668–1677. doi: 10.1093/ije/dyx125 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Oakley L, Gray R, Kurinczuk JJ, Brocklehurst P, Hollowell J. A systematic review of the effectiveness of interventions to increase the early initiation of antenatal care in socially disadvantaged and vulnerable women. Oxford: National Perinatal Epidemiology Unit; 2009. [Google Scholar]
- 14.Mbuagbaw L, Gofin R. A new measurement for optimal antenatal care: Determinants and outcomes in Cameroon. Matern Child Health J. 2011;15: 1427–1434. doi: 10.1007/s10995-010-0707-3 [DOI] [PubMed] [Google Scholar]
- 15.World Health Organization. Antenatal Care in Developing Countries: Promises, Achievements and Missed Opportunities: An Analysis of Trends, Levels and Differentials, 1990–2001. Abou-Zahr CL, Wardlaw TM, editors. WHO. WHO; 2003. [Google Scholar]
- 16.Rahman A, Nisha MK, Begum T, Ahmed S, Alam N, Anwar I. Trends, determinants and inequities of 4+ ANC utilisation in Bangladesh. J Health Popul Nutr. 2017;36: 2. doi: 10.1186/s41043-016-0078-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Simkhada B, Van Teijlingen ER, Porter M, Simkhada P. Factors affecting the utilization of antenatal care in developing countries: Systematic review of the literature. J Adv Nurs. 2008;61: 244–260. doi: 10.1111/j.1365-2648.2007.04532.x [DOI] [PubMed] [Google Scholar]
- 18.Shahjahan M, Chowdhury HA, Akter J, Afroz A, Rahman MM, Hafez M. Factors associated with use of antenatal care services in a rural area of Bangladesh. South East Asia J Public Heal. 2012;2: 61–66. doi: 10.3329/seajph.v2i2.15956 [DOI] [Google Scholar]
- 19.World Health Organization. Global Health Observatory Data Repository. Maternal Mortality Estimates by Country. In: WHO [Internet]. 2019. [cited 29 May 2020]. Available: https://apps.who.int/gho/data/node.main.15?lang=en [Google Scholar]
- 20.Bartlett LA, Mawji S, Whitehead S, Crouse C, Dalil S, Ionete D, et al. Where giving birth is a forecast of death: maternal mortality in four districts of Afghanistan, 1999–2002. Lancet. 2005;365: 864–870. doi: 10.1016/S0140-6736(05)71044-8 [DOI] [PubMed] [Google Scholar]
- 21.APHI/MoPH, CSO, Macro I, IIHMR, WHO/EMRO. Afghanistan Mortality Survey 2010. Calverton, Maryland, USA; 2011. [Google Scholar]
- 22.Britten S. Maternal mortality in Afghanistan: setting achievable targets. Lancet. 2017;389: 1960–1962. doi: 10.1016/S0140-6736(17)31284-9 [DOI] [PubMed] [Google Scholar]
- 23.United Nations. Millennium Development Goals (MDGs). New York; 2000. [Google Scholar]
- 24.United Nations. Sustainable Development Goals (SDGs). New York; 2015. [Google Scholar]
- 25.Azimi MW, Yamamoto E, Saw YM, Kariya T, Arab AS, Sadaat SI, et al. Factors associated with antenatal care visits in Afghanistan: Secondary analysis of Afghanistan Demographic and Health Survey 2015. Nagoya J Med Sci. 2019;81: 121–131. doi: 10.18999/nagjms.81.1.121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Rahmani Z, Brekke M. Antenatal and obstetric care in Afghanistan—A qualitative study among health care receivers and health care providers. BMC Health Serv Res. 2013;13: 166. doi: 10.1186/1472-6963-13-166 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Shahram MS, Hamajima N, Reyer JA. Factors affecting maternal healthcare utilization in Afghanistan: secondary analysis of Afghanistan Health Survey 2012. Nagoya J Med Sci. 2015/12/15. 2015;77: 595–607. [PMC free article] [PubMed] [Google Scholar]
- 28.Kim C, Saeed KMA, Salehi AS, Zeng W. An equity analysis of utilization of health services in Afghanistan using a national household survey. BMC Public Health. 2016;16: 1226. doi: 10.1186/s12889-016-3894-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Rahman MM, Karan A, Rahman MS, Parsons A, Abe SK, Bilano V, et al. Progress toward universal health coverage: A comparative analysis in 5 South Asian countries. JAMA Intern Med. 2017;177: 1297–1305. doi: 10.1001/jamainternmed.2017.3133 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Akseer N, Salehi AS, Hossain SMM, Mashal MT, Rasooly MH, Bhatti Z, et al. Achieving maternal and child health gains in Afghanistan: A Countdown to 2015 country case study. Lancet Glob Heal. 2016;4: e395–e413. doi: 10.1016/S2214-109X(16)30002-X [DOI] [PubMed] [Google Scholar]
- 31.Stanikzai MH, Wafa MH, Wasiq AW, Sayam H. Magnitude and Determinants of Antenatal Care Utilization in Kandahar City, Afghanistan. Obstet Gynecol Int. 2021;2021: 1–7. doi: 10.1155/2021/5201682 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Samiah S, Stanikzai MH, Wasiq AW, Sayam H. Factors associated with late antenatal care initiation among pregnant women attending a comprehensive healthcare facility in Kandahar Province, Afghanistan. Indian J Public Health. 2021;65: 298–301. doi: 10.4103/ijph.IJPH_62_21 [DOI] [PubMed] [Google Scholar]
- 33.Birmeta K, Dibaba Y, Woldeyohannes D. Determinants of maternal health care utilization in Holeta town, central Ethiopia. BMC Health Serv Res. 2013;13: 256. doi: 10.1186/1472-6963-13-256 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Fisseha G, Berhane Y, Worku A, Terefe W. Distance from health facility and mothers’ perception of quality related to skilled delivery service utilization in northern Ethiopia. Int J Womens Health. 2017;9: 749–756. doi: 10.2147/IJWH.S140366 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Chaudhuri S. The latest poverty numbers for Afghanistan: a call to action, not a reason for despair. In: World Bank Blogs [Internet]. 7 May 2018. [cited 2 Aug 2022]. Available: https://blogs.worldbank.org/endpovertyinsouthasia/latest-poverty-numbers-afghanistan-call-action-not-reason-despair. [Google Scholar]
- 36.Chemir F, Alemseged F, Workneh D. Satisfaction with focused antenatal care service and associated factors among pregnant women attending focused antenatal care at health centers in Jimma town, Jimma zone, South West Ethiopia; A facility based cross-sectional study triangulated with qualit. BMC Res Notes. 2014;7: 164–undefined. doi: 10.1186/1756-0500-7-164 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Dyah Pitaloka S, Rizal AM. Patients’ satisfaction in antenatal clinic Hospital University Kebangsaan Malaysia. Malaysian J Community Heal. 2006;12: 8–16. [Google Scholar]
- 38.Akseer N, Bhatti Z, Rizvi A, Salehi AS, Mashal T, Bhutta ZA. Coverage and inequalities in maternal and child health interventions in Afghanistan. BMC Public Health. 2016;16. doi: 10.1186/s12889-016-3406-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ogbo FA, Dhami MV, Ude EM, Senanayake P, Osuagwu UL, Awosemo AO, et al. Enablers and Barriers to the Utilization of Antenatal Care Services in India. Int J Environ Res Public Health. 2019;16: 3152. doi: 10.3390/ijerph16173152 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zuhair M, Roy RB. Socioeconomic Determinants of the Utilization of Antenatal Care and Child Vaccination in India. Asia-Pacific J Public Heal. 2017;29: 649–659. doi: 10.1177/1010539517747071 [DOI] [PubMed] [Google Scholar]
- 41.Agha S, Williams E. Quality of antenatal care and household wealth as determinants of institutional delivery in Pakistan: Results of a cross-sectional household survey. Reprod Health. 2016;13: 84. doi: 10.1186/s12978-016-0201-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Efendi F, Chen CM, Kurniati A, Berliana SM. Determinants of utilization of antenatal care services among adolescent girls and young women in Indonesia. Women Heal. 2017;57: 614–629. doi: 10.1080/03630242.2016.1181136 [DOI] [PubMed] [Google Scholar]
- 43.Agho K, Ezeh O, Ogbo F, Enoma A, Raynes-Greenow C. Factors associated with inadequate receipt of components and use of antenatal care services in Nigeria: a population-based study. Int Health. 2018;10: 172–181. doi: 10.1093/inthealth/ihy011 [DOI] [PubMed] [Google Scholar]
- 44.Worku AG, Yalew AW, Afework MF. Factors affecting utilization of skilled maternal care in Northwest Ethiopia: A multilevel analysis. BMC Int Health Hum Rights. 2013;13: 20. doi: 10.1186/1472-698X-13-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Magadi MA, Madise NJ, Rodrigues RN. Frequency and timing of antenatal care in Kenya: Explaining the variations between women of different communities. Soc Sci Med. 2000;51: 551–561. doi: 10.1016/s0277-9536(99)00495-5 [DOI] [PubMed] [Google Scholar]
- 46.Ahinkorah BO, Ameyaw EK, Seidu AA, Odusina EK, Keetile M, Yaya S. Examining barriers to healthcare access and utilization of antenatal care services: evidence from demographic health surveys in sub-Saharan Africa. BMC Health Serv Res. 2021;21: 1–16. doi: 10.1186/S12913-021-06129-5/TABLES/5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ashipa T, Ofili A, Ighedosa S. Assessment of clients’ satisfaction with the PMTCT counselling service in Benin City, Edo State, Nigeria. J Med Biomed Res. 2013;12: 150–165. [Google Scholar]
- 48.Stephenson R, Matthews Z. Maternal health care service use among rural-urban migrants in Mumbai, India. Asia-Pacific Popul J. 2004;19: 39–60. [Google Scholar]
- 49.Sharma SK, Sawangdee Y, Sirirassamee B. Access to health: Women’s status and utilization of maternal health services in Nepal. J Biosoc Sci. 2007;39: 671–692. doi: 10.1017/S0021932007001952 [DOI] [PubMed] [Google Scholar]
- 50.Agus Y, Horiuchi S. Factors influencing the use of antenatal care in rural West Sumatra, Indonesia. BMC Pregnancy Childbirth. 2012;12: 9. doi: 10.1186/1471-2393-12-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Titaley CR, Dibley MJ, Roberts CL. Factors associated with underutilization of antenatal care services in Indonesia: Results of Indonesia Demographic and Health Survey 2002/2003 and 2007. BMC Public Health. 2010;10: 485. doi: 10.1186/1471-2458-10-485 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Abor PA, Abekah-Nkrumah G, Sakyi K, Adjasi CKD, Abor J. The socio-economic determinants of maternal health care utilization in Ghana. Int J Soc Econ. 2011;38: 628–648. doi: 10.1108/03068291111139258 [DOI] [Google Scholar]
- 53.Ibnouf A, van den Borne H, Maarse J. Utilization of antenatal care services by Sudanese women in their reproductive age. Saudi Med J. 2007;28: 737–43. [PubMed] [Google Scholar]
- 54.Shiferaw S, Spigt M, Godefrooij M, Melkamu Y, Tekie M. Why do women prefer home births in Ethiopia? BMC Pregnancy Childbirth. 2013;13: 5. doi: 10.1186/1471-2393-13-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Munuswamy S, Nakamura K, Seino K, Kizuki M. Inequalities in Use of Antenatal Care and Its Service Components in India. J Rural Med. 2014;9: 10–19. doi: 10.2185/jrm.2877 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Celik Y, Hotchkiss DR. The socio-economic determinants of maternal health care utilization in Turkey. Soc Sci Med. 2000;50: 1797–1806. doi: 10.1016/s0277-9536(99)00418-9 [DOI] [PubMed] [Google Scholar]
- 57.Pell C, Meñaca A, Were F, Afrah NA, Chatio S, Manda-Taylor L, et al. Factors Affecting Antenatal Care Attendance: Results from Qualitative Studies in Ghana, Kenya and Malawi. PLoS One. 2013;8: e53747. doi: 10.1371/journal.pone.0053747 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Tarekegn SM, Lieberman LS, Giedraitis V. Determinants of maternal health service utilization in Ethiopia: Analysis of the 2011 Ethiopian Demographic and Health Survey. BMC Pregnancy Childbirth. 2014;14: 161. doi: 10.1186/1471-2393-14-161 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Dahiru T, Oche OM. Determinants of antenatal care, institutional delivery and postnatal care services utilization in Nigeria. Pan Afr Med J. 2015;21: 321. doi: 10.11604/pamj.2015.21.321.6527 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Manzi A, Munyaneza F, Mujawase F, Banamwana L, Sayinzoga F, Thomson DR, et al. Assessing predictors of delayed antenatal care visits in Rwanda: A secondary analysis of Rwanda demographic and health survey 2010. BMC Pregnancy Childbirth. 2014;14: 290. doi: 10.1186/1471-2393-14-290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Tsegay Y, Gebrehiwot T, Goicolea I, Edin K, Lemma H, Sebastian MS. Determinants of antenatal and delivery care utilization in Tigray region, Ethiopia: A cross-sectional study. Int J Equity Health. 2013;12: 30. doi: 10.1186/1475-9276-12-30 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.King-Schultz L, Jones-Webb R. Multi-method approach to evaluate inequities in prenatal care access in haiti. J Health Care Poor Underserved. 2008;19: 248–257. doi: 10.1353/hpu.2008.0015 [DOI] [PubMed] [Google Scholar]
- 63.Titaley CR, Hunter CL, Heywood P, Dibley MJ. Why don’t some women attend antenatal and postnatal care services?: A qualitative study of community members’ perspectives in Garut, Sukabumi and Ciamis districts of West Java Province, Indonesia. BMC Pregnancy Childbirth. 2010;10: 61. doi: 10.1186/1471-2393-10-61 [DOI] [PMC free article] [PubMed] [Google Scholar]
