T R A C K       P A P E R
ISSN:2455-3956

World Journal of Research and Review

( A Unit of Nextgen Research Publication)

Analysis of Cervical Cancer Detection Implementation Using Visual Asetat Acid Inspection Method in Padang Panjang Primary Health Care Indonesia

( Volume 8 Issue 4,April 2019 ) OPEN ACCESS
Author(s):

Suci Rahmadheny, Masrul, Lisma Evareny

Abstract:

Background: This study aims to analyze the implementation of the program for early detection of cervical cancer by the method of visual acetate inspection (VAI) in Padang Panjang Primary Health Care, West Sumatera Province, Indonesia. Methods: This study used a qualitative descriptive research method carried out in April- May 2018 at the Padang Panjang Health Office and the Padang Panjang Primary Health Care, West Sumatera Province, Indonesia. Informants consisted of the Head of the Health Office, the Head of the Primary Health Care, the midwife who implementing VAI, the cadres, women of childbearing age who had done VAI and who had never. Results: The results of the analysis show that the input of VAI program implementation in terms of human resources, facilities, infrastructure, and funds is in good condition and sufficient to support the implementation of the VAI program. The results of the analysis of the implementation process found that advocacy and socialization were still considered to be less than optimal, resulting in a low coverage of the implementation of the VAI program. Recording and reporting have also been going well. The analysis of the output of the implementation of the VAI program, it was found that the coverage of early detection of cervical cancer with the VAI method increased compared to the previous year, but this achievement was still below the target of achievement. Conclusion: The system for implementing the early cervical cancer detection program is still not on target. Need to improve the process of advocacy and socialization from the government to increase community activity in the early detection of cervical cancer using the VAI method.

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