[Factors associated with the quality of prenatal care in Peru]

Rev Peru Med Exp Salud Publica. 2019 Apr-Jun;36(2):178-187. doi: 10.17843/rpmesp.2019.362.4482. Epub 2019 Aug 22.
[Article in Spanish]

Abstract

Objective: . To estimate the proportion of Peruvian women who received quality prenatal care (PNC) for their last childbirth in the last five years and to determine its associated factors.

Materials and methods.: Analytical cross-sectional study of the 2017 Demographic and Family Health Survey. The proportion of quality PNC was calculated based on the number of PNC control visits. Bivariate and adjusted prevalence ratios (PRa) of quality PNC were estimated.

Results.: Data from 18,156 women were analyzed; 56.1% received quality PNC. Receiving more PNC visits increased the likelihood of receiving quality PNC (49.6% and 59.9% for six and eight control visits, respectively). Being from the highlands (PRa=0.85; 95% CI: 0.80-0.91), living in rural areas (PRa=0.94; 95% CI: 0.89-0.99), and belonging to a native ethnic group (PRa=0.72; 95% CI: 0.66-0.79) was associated with a lower likelihood of receiving quality PNC. Having completed high-school (PRa=1.16; 95% CI: 1.10-1.22) and higher education (PRa=1.15; 95% CI: 1.07-1.23), being from the 2nd wealth quintile (PRa=1.15; 95% CI: 1.08-1.22), 3rd quintile (PRa=1.18; 95% CI: 1.09-1.27), 4th quintile (PRa=1.16; 95% CI: 1.07-1.26), and 5th quintile (PRa=1.16; 95% CI: 1.05-1.28); being from the rest of the Coast (PRa=1.06; 95% CI: 1.00-1.12) and Jungle (PRa=1.31; 95% CI: 1.24-1.39); being enrolled in health insurance (PRa=1.24; 95% CI: 1.18-1.30); birth order 2-3 (PRa=1.10; 95% CI: 1.06-1.15) or ≥4 (PRa=1.20; 95% CI: 1.14-1.27), and having received PNC in the first trimester (PRa=1.20, 95% CI: 1.14-1.26) was related to an increased likelihood of receiving quality PNC.

Conclusions: . Four out of ten women did not receive quality PNC, especially in women of native ethnicity or residents of the highlands or rural areas, groups that would require prioritization in maternal health strategies.

Objetivo.: Estimar la proporción de mujeres peruanas que recibieron un control prenatal (CPN) de calidad para el último parto de los últimos cinco años y determinar sus factores asociados.

Materiales y métodos.: Estudio transversal analítico de la Encuesta Demográfica y de Salud Familiar 2017. Se calculó la proporción de CPN de calidad según número de CPN. Se estimaron razones de prevalencia crudas y ajustadas (RPa) de presentar un CPN de calidad.

Resultados.: Se analizaron datos de 18 156 mujeres, el 56,1% recibió un CPN de calidad. Recibir más CPN incrementó la probabilidad de recibir un CPN de calidad (49,6% y 59,9% para seis y ocho controles, respectivamente). Ser de la sierra (RPa=0,85; IC 95%: 0,80-0,91), vivir en la zona rural (RPa=0,94; IC 95%: 0,89-0,99) y pertenecer a una etnia nativa (RPa=0,72; IC 95%: 0,66-0,79) se asoció con un menor probabilidad de recibir un CPN de calidad. Tener educación secundaria (RPa=1,16; IC 95%: 1,10-1,22) y superior (RPa=1,15; IC 95%: 1,07-1,23), ser del quintil de riqueza 2 (RPa=1,15; IC 95%: 1,08-1,22), quintil 3 (RPa=1,18; IC 95%: 1,09-1,27), quintil 4 (RPa=1,16; IC 95%: 1,07-1,26) y quintil 5 (RPa=1,16; IC 95%: 1,05-1,28), ser del resto de la Costa (RPa=1,06; IC 95%: 1,00-1,12) y Selva (RPa=1,31; IC 95%: 1,24-1,39), tener una afiliación a un seguro de salud (RPa=1,24; IC 95%: 1,18-1,30), orden de nacimiento 2 a 3 (RPa=1,10; IC 95%:1,06-1,15) o ≥4 (RPa = 1,20; IC 95%:1,14-1,27) y haber recibido un CPN en el primer trimestre (RPa=1,20; IC 95%: 1,14-1,26) se relacionaba a una mayor probabilidad de recibir un CPN de calidad.

Conclusiones.: Cuatro de cada diez mujeres no recibieron un CPN de calidad. Ser mujer de etnia nativa o de la sierra o zona rural estuvo asociado a una mala calidad del CPN, requiriéndose priorización de estos grupos en las estrategias de salud materna.

MeSH terms

  • Adolescent
  • Adult
  • Cross-Sectional Studies
  • Female
  • Health Surveys
  • Humans
  • Maternal Health Services / standards*
  • Middle Aged
  • Peru
  • Pregnancy
  • Prenatal Care / standards
  • Prenatal Care / statistics & numerical data*
  • Quality of Health Care*
  • Rural Population / statistics & numerical data
  • Young Adult