Assessing the Quality of Prenatal Care: Use of the Kotelchuck Index Combined with Prenatal Care Data

The aim of the present study was to propose a quality prenatal (PN) care assessment model combining use and visit content (both adjusted for the weeks of gestation) to estimate inadequate PN care and associated factors in Rio Branco, Acre. A cross-sectional study was conducted using a population-based cohort of 1030 women in the city of Rio Branco in 2015. The use of PN care was classified according to the adapted Kotelchuck index by combining the performance of clinical-obstetric procedures adjusted for weeks of gestation. Levels of adequacy were built according to PN care use and content. Gross and adjusted odds ratios were estimated by using a logistic regression. The prevalence rates of inadequate prenatal care quality were 25.9% (Level-1), 54.8% (Level-2), 68.8% (Level-3), and 78.6% (Level-4). The factors associated with Level-1 were age ≤ 34 years (ORaj:3.74), not having a partner (ORaj:1.62), unplanned pregnancy (ORaj:1.73), and multiparity (ORaj:2.25); those for Level-2 comprised not having a partner (ORaj:1.82) and multiparity (ORaj:1.33); those for Level-3 were age ≤ 34 years (ORaj:3.31), not having a partner (Oraj:1.71), unplanned pregnancy (Oraj:1.45), PN in the private sector (Oraj:3.08), and multiparity (ORaj:2.17); those for Level 4 comprised not having a partner (ORaj:2.33), family income < 1 MW (ORaj:2.05), unplanned pregnancy (ORaj:1.41), PN in the private sector (ORaj:6.80), and multiparity (ORaj:1.49). The Kotelchuck index was proven efficient in assessing the combined effect of use and content in assessing PN care quality.