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Journal of Human Medicine Faculty

Ricardo Palma University

ORIGINAL ARTICLE

10.25176/RFMH.v25i4.6709

Factors associated with non-attendance at prenatal care in the first and second trimesters of pregnancy in a tertiary-level hospital in Lima, Peru, 2023

Factors associated with non-attendance at prenatal care in the first and second trimesters of pregnancy in a tertiary-level hospital in Lima, Peru, 2023

Factores asociados a la inasistencia al control prenatal en el primer y segundo trimestre del embarazo en un hospital de tercer nivel de Lima, Perú, 2023

1 Instituto Nacional Materno Perinatal, Lima, Peru.

2 Universidad Científica del Sur, Lima, Peru

3 Hospital de Emergencias José Casimiro Ulloa, Lima, Peru.

4 Universidad Nacional del Callao, Lima, Peru..

5 Universidad Nacional Mayor de San Marcos, Lima, Peru.

a MD

b Bio-statistician economist

c Registered nurse

d Statistician

e Obstetrician-gynecologist

ABSTRACT

Introduction: Inadequate attendance at prenatal care (PNC) is a public health issue that affects maternal and perinatal outcomes. Objective: To identify and compare the factors associated with inadequate PNC attendance during the first and second trimesters of pregnancy in women receiving care at the Instituto Nacional Materno Perinatal (INMP) in Lima, Peru. Methods: An analytical cross-sectional study was conducted on 256 pregnant women with more than 26 weeks and 6 days of gestation who received care at the INMP. Adequate PNC was defined, according to the World Health Organization (WHO), as at least one visit before 13 weeks for the first trimester, and at least two visits between 13 and 26 weeks and 6 days for the second trimester. Structured surveys and a review of PNC records were conducted. Adjusted Poisson regression was applied to estimate prevalence ratios (PR) and 95% confidence intervals (95% CI), considering a p-value < 0.05 as statistically significant. Results: In the first trimester, being single (aPR=1.55; p=0.004), having a lower educational level (aPR=1.77; p=0.019), and receiving care from midwives (aPR=2.00; p<0.001) were associated with higher prevalence of inadequate attendance, while having a high-risk pregnancy was associated with lower prevalence (aPR=0.55; p<0.001). In the second trimester, higher prevalence persisted among single women (aPR=1.95; p=0.059) and those with lower education (aPR=2.19; p=0.026), as well as among women with three or more children (aPR=2.69; p=0.001). Conclusion: Factors associated with inadequate PNC attendance vary between trimesters, highlighting the need for targeted strategies to improve PNC coverage and adherence.

Keywords:

First trimester of pregnancy; second trimester of pregnancy; prenatal care; pregnancy (Source: MeSH NLM).

RESUMEN

Introducción: La asistencia inadecuada al control prenatal (CPN) es un problema de salud pública que afecta la atención materno-perinatal. Objetivos: Identificar y comparar los factores asociados a la asistencia inadecuada al CPN en el primer y segundo trimestre de gestación en gestantes atendidas en el Instituto Nacional Materno Perinatal (INMP) de Lima, Perú. Métodos: Se realizó un estudio transversal analítico en 256 gestantes con más de 26 semanas con 6 días de gestación atendidas en el INMP. Se definió CPN adecuado en el primer trimestre como al menos una consulta antes de las 13 semanas y en el segundo trimestre como al menos dos consultas entre las semanas 13 y 26 con 6 días, según la Organización Mundial de la Salud (OMS). Se realizaron encuestas estructuradas y revisión de cartillas de CPN. Se aplicó regresión de Poisson ajustada para estimar razones de prevalencia (RP) e intervalos de confianza al 95% (IC95%), considerando significativo un valor de p<0,05. Resultados: En el primer trimestre, ser soltera (RPa=1,55; p=0,004), tener menor nivel educativo (RPa=1,77; p=0,019) y acudir a matronas (RPa=2,00; p<0,001) aumentaron la prevalencia de asistencia inadecuada, mientras que el embarazo riesgoso la redujo (RPa=0,55; p<0,001). En el segundo trimestre, persistió mayor en solteras (RPa=1,95; p=0,059) y mujeres con menor educación (RPa=2,19; p=0,026), además de tener tres o más hijos (RPa=2,69; p=0,001). Conclusión: Los factores asociados a la asistencia inadecuada al CPN varían entre los trimestres, lo que resalta la necesidad de estrategias diferenciadas para mejorar la cobertura y adherencia al CPN.

Palabras clave:

Primer trimestre del embarazo; segundo trimestre del embarazo; atención prenatal; embarazo (Fuente: DeCS BIREME).

INTRODUCTION

Prenatal care is a fundamental intervention to improve maternal and neonatal health outcomes 1
1. Peahl AF, Howell JD. The evolution of prenatal care delivery guidelines in the United States. Am J Obstet Gynecol. 2021;224(4):339-47. doi:10.1016/j.ajog.2020.12.016.
. Numerous studies have demonstrated its association with a reduced incidence of adverse birth outcomes. Adequate prenatal care has been shown to significantly decrease the risks of preterm birth and low birth weight 2, 3 , as well as reduce the risk of neonatal mortality by 55% 4
4. 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(5):1668–77. doi:10.1093/ije/dyx125
.

Likewise, low utilization of prenatal care—either due to late initiation or an insufficient number of visits—has been associated with an increased risk of adverse maternal health behaviors and conditions, such as inadequate gestational weight gain, smoking during pregnancy, and absence of breastfeeding after delivery 5
5. Yan J. The Effects of Prenatal Care Utilization on Maternal Health and Health Behaviors. Health Econ. 2017;26(8):1001–18. doi:10.1002/hec.3380
. In resource-limited settings, restricted availability and low use of maternal health services contribute significantly to high maternal mortality, as reported in a study conducted in Ghana 6
6. Nuamah GB, Agyei-Baffour P, Mensah KA, Boateng D, Quansah DY, Dobin D, et al. Access and utilization of maternal healthcare in a rural district in the forest belt of Ghana. BMC Pregnancy Childbirth. 2019;19(1):6. doi:10.1186/s12884-018-2159-5
.

Various factors are associated with inadequate prenatal care (PNC), including geographical and socioeconomic barriers. Women who depend on public transportation and require long travel times have been identified as more likely to receive inadequate prenatal care, which is associated with worse perinatal outcomes 7
7. Holcomb DS, Pengetnze Y, Steele A, Karam A, Spong C, Nelson DB. Geographic barriers to prenatal care access and their consequences. Am J Obstet Gynecol MFM. 2021;3(5):100442. doi:10.1016/j.ajogmf.2021.100442
. In low- and middle-income countries, access to and adherence to prenatal care are influenced by factors such as socioeconomic status, education, and regional poverty 8
8. Guliani H, Sepehri A, Serieux J. Determinants of prenatal care use: evidence from 32 low-income countries across Asia, Sub-Saharan Africa and Latin America. Health Policy Plan. 2014;29(5):589–602. doi:10.1093/heapol/czt045
. Other factors, such as low educational attainment, reduced household income, and smoking during pregnancy, have also been linked to inadequate use of prenatal care 6
6. Nuamah GB, Agyei-Baffour P, Mensah KA, Boateng D, Quansah DY, Dobin D, et al. Access and utilization of maternal healthcare in a rural district in the forest belt of Ghana. BMC Pregnancy Childbirth. 2019;19(1):6. doi:10.1186/s12884-018-2159-5
.

The COVID-19 pandemic exacerbated many of these barriers, negatively impacting prenatal care and maternal and neonatal health outcomes. It has been reported that reduced prenatal visits, along with the implementation of potentially harmful care policies during the pandemic, contributed to an increase in maternal mental health issues and domestic violence, as well as negatively affected birth outcomes 9
9. Kotlar B, Gerson E, Petrillo S, Langer A, Tiemeier H. The impact of the COVID-19 pandemic on maternal and perinatal health: a scoping review. Reprod Health. 2021;18(1):10. doi:10.1186/s12978-021-01070-6
.

It is essential to develop strategies that promote adherence to prenatal and postnatal care regimens 10
10. Guliani H, Sepehri A, Serieux J. Determinants of prenatal care use: evidence from 32 low-income countries across Asia, Sub-Saharan Africa and Latin America. Health Policy Plan. 2014;29(5):589–602. doi:10.1093/heapol/czt045
. While group prenatal care has shown significant benefits in reducing prematurity and low birth weight, there is still insufficient evidence to support the widespread implementation of other strategies 11
11. Groskaufmanis L, Brunner Huber LR, Vick T. Group Prenatal Visits: Maternal and Neonatal Health Outcomes. J Midwifery Womens Health. 2018;63(5):505-638. doi:10.1111/jmwh.12764
. Therefore, it is necessary to expand the study of factors that limit prenatal care utilization among pregnant women, considering their needs according to gestational stage and socioeconomic context 12
12. Wilson M, Patterson K, Nkalubo J, Lwasa S, Namanya D, Twesigomwe S, et al. Assessing the determinants of antenatal care adherence for Indigenous and non-Indigenous women in southwestern Uganda. Midwifery. 2019;78:16–24. doi:10.1016/j.midw.2019.07.005
. This will enable the design of more precise and effective interventions to improve maternal and fetal health from the earliest stages of pregnancy.

For this reason, the objective of this study is to compare the factors associated with inadequate PNC during the first and second trimesters of pregnancy in women treated at the outpatient clinic of the Instituto Nacional Materno Perinatal (INMP), a referral hospital in Lima, Peru.

METHODOLOGY

Study design and setting. A retrospective, analytical, cross-sectional study was conducted among pregnant women seen at the outpatient clinics of the INMP in Lima, Peru. The INMP is a high-complexity public health institution specialized in maternal-perinatal medical-surgical care, with an annual record of approximately 22,000 births.

The outcome variable was inadequate PNC. PNC was considered adequate in the first trimester when the pregnant woman had at least one visit before 13 weeks of gestation, and adequate in the second trimester when she had at least two PNC visits between weeks 13 and 26 + 6 days, according to the recommendations of the World Health Organization (WHO) 13
13. World Health Organization. WHO recommendations on antenatal care for a positive pregnancy experience [Internet]. Publications; 2016 [cited 2024 Jun 14]. Available from: https://www.who.int/publications/i/item/9789241549912
and the Peruvian Ministry of Health 14
14. Ministerio de Salud del Perú. Recomendaciones para una maternidad saludable [Internet]. Gobierno del Perú; 2024 [cited 2024 Jul 4]. Available from: https://www.gob.pe/33919-recomendaciones-para-una-maternidad-saludable.
.

Population and sample. A total of 256 pregnant women with a completed second trimester (more than 26 weeks + 6 days of gestation) seen at the INMP outpatient clinics were included. Women were excluded if they did not have their PNC booklet at the time of the interview, had physical or mental limitations preventing them from answering the questionnaire, or refused to sign the informed consent. To determine the sample size, Fleiss’ formula with continuity correction for comparison of proportions was used. A reference value of 28% for positive unexposed and an expected prevalence ratio of 1.7 was considered based on previous literature 6
6. Nuamah GB, Agyei-Baffour P, Mensah KA, Boateng D, Quansah DY, Dobin D, et al. Access and utilization of maternal healthcare in a rural district in the forest belt of Ghana. BMC Pregnancy Childbirth. 2019;19(1):6. doi:10.1186/s12884-018-2159-5
. A 95% confidence level and 80% statistical power were assumed. The initial calculation determined a sample size of 210 subjects, which was increased to account for a possible 20% refusal rate.

Variables and instruments. There was no primary exposure variable; rather, a thorough exploration of various factors potentially associated with inadequate PNC was conducted. A structured questionnaire was designed, including demographic questions (age, marital status, education level, and place of origin), gynecological-obstetric history (number of children, history of abortion, high-risk pregnancy, and planning of the current pregnancy), sociocultural factors (care by midwives in the community, type of transportation used to attend PNC, and travel time in hours), and perception of care received (waiting time for appointment assignment, waiting time on the day of the visit, and adequacy of information provided by health personnel).

To collect data, a targeted survey was administered focusing on factors related to non-attendance to PNC. The number of PNC visits was recorded by the principal investigator using a data collection form, which included the dates of PNC visits in the first and second trimesters, according to the documentation in the PNC booklet. PNC visits during the first trimester were those conducted between weeks 1 and 12 + 6 days, and second-trimester visits were those between weeks 13 and 26 + 6 days.

Procedures. Pregnant women were contacted during their appointments at the INMP outpatient clinics. After explaining the study objectives and obtaining informed consent, the structured survey was applied individually in a private setting. Subsequently, the principal investigator reviewed each participant’s PNC booklet to record the number of visits made during the first and second trimesters.

Statistical analysis

In the descriptive analysis, frequencies and percentages were used for qualitative variables, while measures of central tendency (mean) and dispersion (standard deviation) were calculated for quantitative variables. For hypothesis testing of qualitative variables, the chi-square test was used, considering a p-value <0.05 as statistically significant.

The strength of association was estimated using a Poisson regression model, adjusted to control for confounding variables through multiple regression analysis. Results were reported in terms of prevalence ratios (PR) and 95% confidence intervals (CI), with statistical significance set at p<0.05.

Ethical considerations

The study was approved by the Institutional Research Ethics Committee of the INMP under letter No. 091-2023-CIEI/INMP. Informed consent was obtained from all participants prior to administering the survey, and confidentiality of data and adherence to ethical principles of research involving human subjects were ensured.

RESULTS

A total of 256 pregnant women with more than 26 weeks + 6 days of gestation were surveyed. Of these, 114 had adequate PNC and 142 did not in the first trimester, while in the second trimester, 211 had adequate PNC and 45 did not.

Demographic and gynecological-obstetric characteristics

Significant differences in inadequate PNC during the first trimester were found in relation to marital status (p=0.043), education level (p<0.001), place of birth (p=0.005), and age range (p=0.002). In the second trimester, significant differences were observed regarding place of birth (p=0.027), number of children (p=0.007), and history of abortion (p=0.043) (Table 1).

Social and institutional characteristics

In the first trimester, inadequate PNC attendance showed significant differences with the following factors: high-risk pregnancy (p<0.001), planned pregnancy (p<0.001), usual prenatal consultation with midwives (p<0.001), type of transportation (p=0.002), and waiting time for appointment assignment (p<0.001). In the second trimester, significant differences were found regarding high-risk pregnancy (p=0.019), waiting time for appointment assignment (p<0.001), waiting time on the day of the visit (p<0.001), and adequacy of information provided by health personnel (p<0.001) (Table 2).

Table 1.

Distribution of demographic and gynecological characteristics of pregnant women according to adequate attendance to prenatal care in the first and second trimester at INMP during 2023.

Inadequate attendance in 1st trimester Inadequate attendance in 2nd trimester Total
No Yes p-value No Yes p-value
N=139 N=139 N=211 N=45 N=256
Marital status Married or cohabiting 126 (90.6%)96 (82.1%)0.043 187 (88.6%)35 (77.8%)0.052 222 (86.7%)
Single 24 (11.4%)10 (22.2%) 34 (13.3%)
Education level Higher education (complete/incomplete) 62 (44.6%)17 (14.5%)<0.001 70 (33.2%)9 (20.0%)0.082 79 (30.9%)
Primary and secondary 77 (55.4%)100 (85.5%) 141 (66.8%)36 (80.0%) 177 (69.1%)
Place of birth Lima 88 (63.3%)64 (54.7%)0.005 118 (55.9%)34 (75.6%)0.027 152 (59.4%)
Province 39 (28.1%)51 (43.6%) 82 (38.9%)8 (17.8%) 90 (35.2%)
Foreign country 12 (8.6%)2 (1.7%) 11 (5.2%)3 (6.7%) 14 (5.5%)
Number of pregnancies 2 or fewer 95 (68.3%)89 (76.1%)0.170 159 (75.4%)25 (55.6%)0.007 184 (71.9%)
3 or more 44 (31.7%)28 (23.9%) 52 (24.6%)20 (44.4%) 72 (28.1%)
Age range Under 30 years 78 (56.1%)87 (74.4%)0.002 132 (62.6%)33 (73.3%)0.170 165 (64.5%)
30 to 35 years 61 (43.9%)30 (25.6%) 79 (37.4%)12 (26.7%) 91 (35.5%)
History of abortion No 100 (71.9%)90 (76.9%)0.360 162 (76.8%)28 (62.2%)0.043 190 (74.2%)
Yes 39 (28.1%)27 (23.1%) 49 (23.2%)17 (37.8%) 66 (25.8%)

Table 2.

Distribution of social and institutional characteristics of pregnant women according to adequate attendance to prenatal care in the first and second trimester at INMP during 2023.

Inadequate attendance in 1st trimester Inadequate attendance in 2nd trimester Total
No Yes p-value No Yes p-value
N=114 N=142 N=211 N=45 N=256
High-risk pregnancy No 68 (59.6%)96 (67.6%)<0.001 142 (67.3%)22 (48.9%)0.019 164 (64.1%)
Yes 46 (40.4%)46 (32.4%) 69 (32.7%)23 (51.1%) 92 (35.9%)
Planned pregnancy No 74 (53.2%)90 (76.9%)<0.001 140 (66.4%)36 (80.0%)0.073 176 (68.8%)
Yes 65 (46.8%)27 (23.1%) 71 (33.6%)9 (20.0%) 80 (31.3%)
PNC usually conducted by midwives in her community No 76 (54.7%)100 (85.5%)<0.001 162 (76.8%)37 (82.2%)0.430 199 (77.7%)
Yes 63 (45.3%)17 (14.5%) 49 (23.2%)8 (17.8%) 57 (22.3%)
Type of transportation Own vehicle 131 (94.2%)68 (58.1%)0.002 23 (10.9%)2 (4.4%)0.140 25 (9.8%)
Public transport 8 (5.8%)49 (41.9%) 148 (70.1%)38 (84.4%) 186 (72.7%)
Taxi 20 (14.4%)5 (4.3%) 40 (19.0%)5 (11.1%) 45 (17.6%)
Distance from hospital Less than 1 hour 89 (64.0%)97 (82.9%)0.580 139 (65.9%)27 (60.0%)0.450 166 (64.8%)
1 hour or more 30 (21.6%)15 (12.8%) 72 (34.1%)18 (40.0%) 90 (35.2%)
Long wait to get appointment No 88 (63.3%)78 (66.7%)<0.001 168 (79.6%)21 (46.7%)<0.001 189 (73.8%)
Yes 51 (36.7%)39 (33.3%) 43 (20.4%)24 (53.3%) 67 (26.2%)
Long wait on the appointment day No 116 (83.5%)73 (62.4%)0.860 160 (75.8%)18 (40.0%)<0.001 178 (69.5%)
Yes 23 (16.5%)44 (37.6%) 51 (24.2%)27 (60.0%) 78 (30.5%)
Sufficient information No 96 (69.6%)78 (70.5%)0.530 186 (88.2%)26 (57.8%)<0.001 212 (82.8%)
Yes 43 (30.9%)33 (29.9%) 25 (11.8%)19 (42.2%) 44 (17.2%)

Source: INMP

Multivariate regression analysis

In the multivariate regression model for inadequate PNC attendance during the first and second trimesters, the following variables were included: marital status, education level, place of birth, gestational age, age range, high-risk pregnancy, planned pregnancy, usual PNC with midwives, type of transportation, and distance from residence to the hospital. In the first trimester, single women had a higher risk of inadequate attendance (aPR = 1.55; p = 0.004), as did those with primary or secondary education (aPR = 1.77; p = 0.019). Pregnant women with high-risk pregnancies showed a lower risk of inadequate attendance (aPR = 0.55; p < 0.001). In addition, usual prenatal consultation with midwives was associated with a higher risk (aPR = 2.00; p < 0.001), as was living one hour or more away from the hospital (aPR = 1.45; p = 0.027) (Table 3).

In the second trimester, single women also had a higher risk of inadequate attendance (aPR = 1.95; p = 0.059), while those with primary or secondary education presented a significantly higher risk (aPR = 2.19; p = 0.026). Women born in provinces showed a lower risk of inadequate attendance (aPR = 0.34; p = 0.011), whereas those with three or more children had a higher risk (aPR = 2.69; p = 0.001) (Table 3).

traduce esto
Table 3.

Crude and adjusted relative risk of sociodemographic and personal characteristics of pregnant women according to adequate attendance to prenatal check-ups during the first and second trimester of pregnancy at INMP in 2023.

Factors Inadequate attendance in first trimester Inadequate attendance in second trimester
cRR p-value aRR p-value cRR p-value aRR p-value
95% CI 95% CI 95% CI 95% CI
Marital status Married or cohabiting Ref.
1.43
(1.05 - 1.94)

0.0022

1.55
(1.15 - 2.10)
0.004 Ref.
1.87
(1.02 - 3.41)

0.043
1.95
(0.98 - 3.90)
0.059
Single
Education level: Primary and secondary Higher education (complete or incomplete) Ref.
2.63
(1.69 - 4.08)

<0.001

1.77
(1.10 - 2.85)

0.019
Ref.
1.79
(0.90 - 3.53)

0.096

2.19
(1.10 - 4.36)

0.026
Primary and secondary
Place of birth Lima Ref. Ref.
Province 1.35 0.025 0.77 0.107 0.40 0.013 0.34 0.011
(1.04 - 1.75) (0.57 - 1.06) (0.19 - 0.82) (0.15 - 0.78)
Foreign country 0.34 0.103 0.45 0.208 0.96 0.936 0.98 0.971
(0.093 - 1.24) (0.13 - 1.55) (0.34 - 2.73) (0.33 - 2.89)
Number of pregnancies Less than 2 Ref. Ref.
3 or more 0.80 0.190 1.29 0.114 2.04 0.007 2.69 0.001
(0.58 - 1.11) (0.94 - 1.77) (1.21 - 3.45) (1.48 - 4.92)
Age range Under 30 years Ref. Ref.
Between 30 and 35 years 0.63 0.004 0.92 0.626 0.66 0.181 0.56 0.089
(0.45 - 0.87) (0.67 - 1.27) (0.36 - 1.21) (0.29 - 1.09)
(0,45 - 0,87)(0,67 - 1,27)(0,36 - 1,21)(0,29 - 1,09)
Risky pregnancy No Ref. Ref.
0,54 <0,001 0,55 <0,001 1,86 0,021 1,40 0,235
(0,38 - 0,76)(0,39 - 0,78)(1,10 - 3,16)(0,81 - 2,43)
Planned pregnancy No Ref. Ref.
Yes0,37<0,0010,560,0170,550,0860,640,258
(0,24 - 0,58)(0,35 - 0,91)(0,28 - 1,09)(0,29 – 1,40)
Regular CPN with midwivesNo Ref. Ref.
Yes2.52<0.0012.00<0.0010.760.4350.960.913
(2,02 - 3,14)(1,49 - 2,68)(0,37 - 1,53)(0,45 - 2,06)
Type of transport Own Ref. Ref.
Public2.600.0181.770.1782.550.1771.960.383
(1.18 - 5.79)(0.77 - 4.08)(0.65 - 9.97)(0.43 - 8.91)
Taxi1.670.2601.260.6061.390.6811.110.899
(0,69 - 4,05)(0,52 - 3,05)(0,29 - 6,67)(0,24 - 5,20)
Living distance from hospital Less than 1 hour Ref. Ref.
1 hour or more0.920.5801.450.0271.230.4531.070.821
(0.69 - 1.23)(1.04 - 2.01)(0.72 - 2.11)(0.60 - 1.93)
Wait a long time for appointment assignmentNo Ref. Ref.
Yes1.70<0.0013.22<0.001
(1,32 - 2,18)(1,92 - 5,40)
Wait a long time for attention on the scheduled dayNo Ref. Ref.
Yes0.970.8613.42<0.001
(0.73 - 1.31)(2.01 - 5.84)
Sufficient informationNo Ref. Ref.
Yes1.120.5173.52<0.001
(0.80 - 1.56)(2.15 - 5.78)

Fuente: INMP

DISCUSSION

In 32 low-income countries, key determinants of prenatal care utilization were identified, suggesting the need to integrate safe maternity programs with social development strategies 8
8. Guliani H, Sepehri A, Serieux J. Determinants of prenatal care use: evidence from 32 low-income countries across Asia, Sub-Saharan Africa and Latin America. Health Policy Plan. 2014;29(5):589–602. doi:10.1093/heapol/czt045
. In Brazil, a study in the northeast of the country found high levels of prenatal care attendance, although one-third of pregnant women showed inadequate utilization due to socioeconomic and demographic factors, such as maternal age, education level, and lack of a partner 19
19. Ribeiro ERO, Guimarães AMDN, Bettiol H, Lima DDF, Almeida MLD, de Souza L, et al. Risk factors for inadequate prenatal care use in the metropolitan area of Aracaju, Northeast Brazil. BMC Pregnancy Childbirth. 2009;9:31. doi:10.1186/1471-2393-9-31
. In Ethiopia, socioeconomic inequality at the start of prenatal care was associated with wealth, education level, and region of residence, highlighting the need for targeted interventions 20
20. Kidie AA, Asmamaw DB, Belachew TB, Fetene SM, Baykeda TA, Endawkie A, et al. Socioeconomic inequality in timing of ANC visit among pregnant women in Ethiopia, 2019. Front Public Health. 2024;12. doi:10.3389/fpubh.2024.1243433
.

A survival analysis conducted in 57 low- and middle-income countries demonstrated that prenatal care attendance is associated with lower neonatal mortality, underscoring the importance of promoting more prenatal visits 4
4. 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(5):1668–77. doi:10.1093/ije/dyx125
. Furthermore, the validation of a model of adherence to prenatal recommendations in the United States emphasized the relevance of shared decision-making and cultural competence to improve adherence to prenatal check-ups 21
21. Evans NM, Sheu J-J. Validating a path model of adherence to prenatal care recommendations among pregnant women. Patient Educ Couns. 2019;102(7):1350–6. doi:10.1016/j.pec.2019.02.028
.

The impact of the COVID-19 pandemic on maternal and perinatal health highlighted the lack of planning for continuity of prenatal care, reflected in a concerning reduction in prenatal visits and an increase in maternal mental health issues. These findings underscore the need to implement adaptive strategies and allocate additional resources to ensure the continuity of prenatal care during crisis situations 9
9. Kotlar B, Gerson E, Petrillo S, Langer A, Tiemeier H. The impact of the COVID-19 pandemic on maternal and perinatal health: a scoping review. Reprod Health. 2021;18(1):10. doi:10.1186/s12978-021-01070-6
. In this context, a systematic review of interventions to improve prenatal care adherence in sub-Saharan Africa concluded that current strategies have limited effectiveness, which highlights the need for innovative approaches 10
10. Guliani H, Sepehri A, Serieux J. Determinants of prenatal care use: evidence from 32 low-income countries across Asia, Sub-Saharan Africa and Latin America. Health Policy Plan. 2014;29(5):589–602. doi:10.1093/heapol/czt045
. Similarly, a study in the United Kingdom found that ethnic and socioeconomic inequalities affect the timely initiation of prenatal care, emphasizing the importance of addressing these disparities to improve maternal outcomes 22
22. Puthussery S, Tseng P-C, Sharma E, Harden A, Griffiths M, Bamfo J, et al. Disparities in the timing of antenatal care initiation and associated factors in an ethnically dense maternal cohort with high levels of area deprivation. BMC Pregnancy Childbirth. 2022;22(1):713. doi:10.1186/s12884-022-04984-6
.

Prenatal care attendance remains a challenge influenced by various sociodemographic, economic, and cultural factors. The evidence shows that the lack of economic resources, distance to health centers, and lack of time continue to be significant barriers to adequate attendance to prenatal check-ups 23
23. 23. Zielenbach M, Ekpe E, Oot A, Yeh C, Yee LM. Association of Antenatal Housing Instability with Perinatal Care Utilization and Outcomes. J Womens Health (Larchmt). 2024;33(1):90-97. doi:10.1089/jwh.2023.0002
. Additionally, the impact of factors such as maternal education and social stability has been widely documented 24
24. 24. Lee Y-C, Liang F-W, Chen G-D, Lu T-H, Chiang T-L. Social determinants of late initiation of prenatal care in Taiwan: A nationwide study. Res Sq. 2023. Available from: https://www.researchsquare.com/article/rs-3161743/v1.
, highlighting the need to strengthen educational programs and access to medical services from a comprehensive perspective. Interventions targeted at at-risk populations, such as the implementation of behavioral incentives and patient navigation, have shown promise in increasing adherence to prenatal care 25
25. 25. Svikis DS, Kelpins SS, Keyser-Marcus L, Bishop DL, Parlier-Ahmad AB, Jones H, et al. Increasing Prenatal Care Compliance in At-Risk Black Women: Findings from a RCT of Patient Navigation and Behavioral Incentives. J Racial Ethn Health Disparities. 2022;9(2):630-640. doi:10.1007/s40615-021-00995-9
. Furthermore, the development of innovative prenatal care models, such as group care and the use of technology for remote consultations, may help reduce access gaps 26
26. 26. Darling EK, Kjell C, Tubman-Broeren M, Marquez O. The Effect of Prenatal Care Delivery Models Targeting Populations with Low Rates of PNC Attendance: A Systematic Review. J Health Care Poor Underserved. 2021;32(1):119-136. doi:10.1353/hpu.2021.0012
. Since access to prenatal care directly impacts the reduction of maternal and neonatal complications 27
27. 27. Heberlein EC, Smith JC, LaBoy A, Britt J, Crockett A. Birth Outcomes for Medically High-Risk Pregnancies: Comparing Group to Individual Prenatal Care. Am J Perinatol. 2024;41(4):414-421. doi:10.1055/a-1682-2704
, it is recommended to implement public policies that ensure equity in access to these services. Moreover, integrating a biopsychosocial approach in perinatal care would allow for more effective addressing of the individual needs of pregnant women, promoting better maternal and neonatal health outcomes 28
28. 28. Duberstein ZT, Brunner J, Panisch LS, Bandyopadhyay S, Irvine C, Macri JA, et al. The Biopsychosocial Model and Perinatal Health Care: Determinants of Perinatal Care in a Community Sample. Front Psychiatry. 2021;12:746803. doi:10.3389/fpsyt.2021.746803
. Finally, to reduce disparities in prenatal care attendance, collaboration between governments, communities, and healthcare professionals is essential to develop sustainable and culturally sensitive strategies that encourage greater adherence to prenatal check-ups 29
29. 29. Pennathur H, Ghrayeb L, Debnath D, Ganzi S, Cohn A, Peahl AF. Cumulative Effect of Medical and Social Risk Factors on Routine Prenatal Care Screening [A231]. Obstet Gynecol. 2022;139:67S. doi:10.1097/01.AOG.0000826200.21918.f0
.

This study presents some limitations. As a retrospective analytical cross-sectional design, it does not allow for establishing causal relationships between the analyzed variables. Furthermore, the information obtained through surveys may be subject to recall or response biases, which could affect the accuracy of some data. Another limitation is that the study was conducted at a single reference center, which may limit the generalizability of the findings to other contexts with different socioeconomic characteristics and access to healthcare. Finally, other potential determinants of prenatal care attendance, such as family support or cultural barriers, were not assessed, and these could influence the results.

CONCLUSION

This study demonstrates that factors associated with inadequate PNC attendance vary between the first and second trimesters of pregnancy. While being single and having a lower education level were risk factors in both trimesters, other variables, such as high-risk pregnancy, habitual consultations with midwives, and distance from the hospital, primarily influenced the first trimester, while the number of children and place of birth had an impact in the second trimester. These findings underscore the importance of designing differentiated strategies according to the gestational stage, considering sociodemographic, cultural, and healthcare access factors to improve PNC coverage and adherence. Implementing policies that reduce geographical and economic barriers, as well as strengthening prenatal education, could contribute to greater adherence to check-ups and, consequently, improve maternal and neonatal outcomes.

Additional Information

Authorship contributions: SDCV: Conceptualization, methodology, research, data analysis, writing – original draft, writing – review and editing. ACA: Conceptualization, research, methodology, data analysis, writing – original draft, review and editing. RILV: Conceptualization, research, data collection, data analysis, writing – original draft, review and editing. NSV: Conceptualization, data collection, data analysis, writing – original draft, review and editing. GMC: Conceptualization, research, writing – original draft, review and editing. JFRV: Conceptualization, research, writing – original draft, review and editing. LAMS: Conceptualization, methodology, research, writing – original draft, review and editing. All authors approved the version to be published. Conflict of interest statement: The authors declare no conflict of interest. Funding: Self-funded. Received: November 30, 2024 Approved: March 12, 2025

Author Correspondence Data

Correspondence author: Claudia Veralucia Saldaña-Díaz E-mail: cvsaldi.med@gmail.com

Article published by the Journal of the Faculty of Human Medicine of the Ricardo Palma University. This is an open-access article, distributed under the terms of the Creative Commons License: Creative Commons Attribution 4.0 International, CC BY 4.0 , which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial use, please contact revista.medicina@urp.edu.pe.

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