Abstrak
Pemeriksaan IVA merupakan upaya deteksi dini kanker serviks di layanan primer.Capaian IVA pada wanita usia 30–50 tahun masih belum optimal, sehingga perludikaji faktor pelayanan yang berhubungan dengan capaian pemeriksaan. Penelitian ini bertujuan mengetahui hubungan faktor struktur dan proses pelayanan IVA di puskesmas dengan capaian pemeriksaan IVA di Kota Depok tahun 2025. Metode penelitian ini menggunakan desain kuantitatif analitik dengan pendekatan cross-sectional. Unit analisis adalah 38 puskesmas. Analisis bivariat menggunakan uji korelasi Spearman karena data tidak berdistribusi normal.Hasil penelitian menunjukkan bahwa alur pelayanan berhubungan signifikan dengan capaian IVA (rho = 0,412; p-value = 0,010) dengan arah positif dan kekuatan sedang. Sumber daya manusia (rho = -0,003; p = 0,985), Dukungan operasional (rho = 0,018; p = 0,912), Dukungan kelembagaan (rho = -0,019; p = 0,909), Sosialisasi (rho = 0,145; p = 0,384), serta pencatatan dan pelaporan (rho = 0,142; p = 0,395) tidak berhubungan signifikan. Alur pelayanan merupakan determinan proses yang berhubungan dengan capaian IVA. Perbaikan alur layanan, akses, penjadwalan, edukasi, konseling, tindak lanjut, serta konsistensi pencatatan dan pelaporan perlu diperkuat untuk meningkatkan capaian IVA di puskesmas.
The IVA (Visual Inspection with Acetic Acid) examination is an early detection method for cervical cancer within primary healthcare services. IVA coverage among women aged 30–50 remains suboptimal; therefore, it is necessary to examine service-related factors associated with screening uptake. This study aimed to determine the relationship between structural and process factors of IVA services at Community Health Centers (Puskesmas) and IVA screening coverage in Depok City in 2025. A quantitative analytical design with a cross-sectional approach was employed. The unit of analysis consisted of 38 Community Health Centers. Bivariate analysis utilized the Spearman correlation test, as the data were not normally distributed. The results indicated that the service workflow was significantly associated with IVA coverage (rho = 0.412; p-value = 0.010), showing a positive correlation of moderate strength. Human resources (rho = -0.003; p = 0.985), operational support (rho = 0.018; p = 0.912), institutional support (rho = -0.019; p = 0.909), socialization (rho = 0.145; p = 0.384), and recording and reporting (rho = 0.142; p = 0.395) showed no significant association. Service workflow emerged as a process determinant linked to IVA coverage. Improvements in service workflow, access, scheduling, education, counseling, follow-up, and the consistency of recording and reporting need to be strengthened to enhance IVA coverage at Community Health Centers.