Factors Predicting Completion of Four or More Antenatal Care Visits in Sarlahi District, Nepal.

Maternal health antenatal care cluster randomized trial epidemiology global health maternal and newborn healthcare maternal mortality obstetrics pregnancy pregnancy care pregnancy-related mortality primary care public health risk factors

Journal

Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
29 May 2024
Historique:
pubmed: 10 6 2024
medline: 10 6 2024
entrez: 10 6 2024
Statut: epublish

Résumé

A significant number of women die from pregnancy and childbirth complications globally, particularly in low- and middle-income countries (LMICs). Receiving at least four antenatal care (ANC) visits may be important in reducing maternal and perinatal deaths. This study investigates factors associated with attending ≥ 4 ANC visits in Sarlahi district of southern Nepal. A secondary analysis was conducted on data from the Nepal Oil Massage Study (NOMS), a cluster-randomized, community-based longitudinal pregnancy cohort study encompassing 34 Village Development Committees. We quantified the association between receipt/attendance of ≥ 4 ANC visits and socioeconomic, demographic, morbidity, and pregnancy history factors using logistic regression; Generalized Estimating Equations were used to account for multiple pregnancies per woman. All pregnancies resulting in a live birth (n=31,867) were included in the model and 31.4% of those pregnancies received 4+ ANC visits. Significant positive associations include socioeconomic factors such as participation in non-farming occupations for women (OR=1.52, 95% CI: 1.19, 1.93), higher education (OR=1.79, 95% CI: 1.66, 1.93) and wealth quintile OR=1.44, 95% CI: 1.31, 1.59), nutritional status such as non-short stature (OR=1.17, 95% CI: 1.07, 1.27), obstetric history such as adequate interpregnancy interval (OR=1.31, 95% CI: 1.19, 1.45) and prior pregnancy but no live birth (OR=2.14, 95% CI: 1.57, 2.92), symptoms such as vaginal bleeding (OR=1.35, 95% CI:1.11, 1.65) and awareness of the government's conditional cash transfer ANC program (OR=2.26, 95% CI: 2.01, 2.54). Conversely, belonging to the lower Shudra caste (OR=0.56, 95% CI: 0.47, 0.67), maternal age below 18 or above 35 (OR=0.81, 95% CI:0.74, 0.88; OR=0.77, 95% CI: 0.62, 0.96)), preterm birth (OR=0.41, 95% CI: 0.35, 0.49), parity ≥ 1 (OR=0.66, 95% CI: 0.61, 0.72), and the presence of hypertension during pregnancy (OR=0.79, 95% CI: 0.69, 0.90) were associated with decreased likelihood of attending ≥ 4 ANC visits. These findings underscore the importance of continuing and promoting the government's program and increasing awareness among women. Moreover, understanding these factors can guide interventions aimed at encouraging ANC uptake in the most vulnerable groups, subsequently reducing maternal-related adverse outcomes in LMICs. The clinicaltrial.gov trial registration number for NOMS was #NCT01177111. Registration date was August 6

Sections du résumé

Background UNASSIGNED
A significant number of women die from pregnancy and childbirth complications globally, particularly in low- and middle-income countries (LMICs). Receiving at least four antenatal care (ANC) visits may be important in reducing maternal and perinatal deaths. This study investigates factors associated with attending ≥ 4 ANC visits in Sarlahi district of southern Nepal.
Methods UNASSIGNED
A secondary analysis was conducted on data from the Nepal Oil Massage Study (NOMS), a cluster-randomized, community-based longitudinal pregnancy cohort study encompassing 34 Village Development Committees. We quantified the association between receipt/attendance of ≥ 4 ANC visits and socioeconomic, demographic, morbidity, and pregnancy history factors using logistic regression; Generalized Estimating Equations were used to account for multiple pregnancies per woman.
Results UNASSIGNED
All pregnancies resulting in a live birth (n=31,867) were included in the model and 31.4% of those pregnancies received 4+ ANC visits. Significant positive associations include socioeconomic factors such as participation in non-farming occupations for women (OR=1.52, 95% CI: 1.19, 1.93), higher education (OR=1.79, 95% CI: 1.66, 1.93) and wealth quintile OR=1.44, 95% CI: 1.31, 1.59), nutritional status such as non-short stature (OR=1.17, 95% CI: 1.07, 1.27), obstetric history such as adequate interpregnancy interval (OR=1.31, 95% CI: 1.19, 1.45) and prior pregnancy but no live birth (OR=2.14, 95% CI: 1.57, 2.92), symptoms such as vaginal bleeding (OR=1.35, 95% CI:1.11, 1.65) and awareness of the government's conditional cash transfer ANC program (OR=2.26, 95% CI: 2.01, 2.54). Conversely, belonging to the lower Shudra caste (OR=0.56, 95% CI: 0.47, 0.67), maternal age below 18 or above 35 (OR=0.81, 95% CI:0.74, 0.88; OR=0.77, 95% CI: 0.62, 0.96)), preterm birth (OR=0.41, 95% CI: 0.35, 0.49), parity ≥ 1 (OR=0.66, 95% CI: 0.61, 0.72), and the presence of hypertension during pregnancy (OR=0.79, 95% CI: 0.69, 0.90) were associated with decreased likelihood of attending ≥ 4 ANC visits.
Conclusions UNASSIGNED
These findings underscore the importance of continuing and promoting the government's program and increasing awareness among women. Moreover, understanding these factors can guide interventions aimed at encouraging ANC uptake in the most vulnerable groups, subsequently reducing maternal-related adverse outcomes in LMICs.
Trial registration UNASSIGNED
The clinicaltrial.gov trial registration number for NOMS was #NCT01177111. Registration date was August 6

Identifiants

pubmed: 38853894
doi: 10.21203/rs.3.rs-4467441/v1
pmc: PMC11160911
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT01177111']

Types de publication

Journal Article Preprint

Langues

eng

Déclaration de conflit d'intérêts

Competing interests The authors declare that they have no competing interests.

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Auteurs

Yiwei Yue (Y)

Department of International Health, Johns Hopkins Bloomberg School of Public Health.

Elizabeth A Hazel (EA)

Department of International Health, Johns Hopkins Bloomberg School of Public Health.

Seema Subedi (S)

Department of International Health, Johns Hopkins Bloomberg School of Public Health.

Scott Zeger (S)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health.

Diwakar Mohan (D)

Department of International Health, Johns Hopkins Bloomberg School of Public Health.

Luke C Mullany (LC)

Department of International Health, Johns Hopkins Bloomberg School of Public Health.

James M Tielsch (JM)

Department of Global Health, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue.

Subarna K Khatry (SK)

Nepal Nutrition Intervention Project, Sarlahi, 120 Sitakwa Margh, Jhamsikhel Pulchowk.

Steven C LeClerq (SC)

Department of International Health, Johns Hopkins Bloomberg School of Public Health.

Joanne Katz (J)

Department of International Health, Johns Hopkins Bloomberg School of Public Health.

Classifications MeSH