孕妇满意度分析使用进行性分析方法

Azizatul Hamidiyah, Nur Hidayati
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引用次数: 1

摘要

孕妇在Banyuputih保健中心的K4访问量明显下降,特别是在2016年至2017年(106%至68%)。因此,分析孕妇对班尤普提保健中心产前保健服务的满意度,对于增加孕妇的新访率和保持孕妇的既往访率具有十分重要的意义。本研究的目的是基于重要性-绩效分析法确定Banyuputih保健中心2018年孕妇对产前护理的满意度。本研究采用横断面设计定量方法。本研究的人群是2018年在Banyuputih健康中心接受ANC服务的孕妇。这项研究的样本是61个人。数据收集采用一手数据和二次数据。本研究采用李克特量表进行问卷调查。采用重要性-绩效分析法(IPA)进行数据分析。结果表明,孕妇对Banyuputih保健中心ANC的服务不满意,负差距值为-0.40。IPA分析结果显示,在可靠性、响应性、保证性、移情性、有形性(43项服务指标)这5个维度中,有7项服务需要改进,15项优质ANC服务需要保持。关键词:孕妇满意度,产前护理,重要性-绩效分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALISIS KEPUASAN IBU HAMIL TERHADAP PELAYANAN ANTENATAL MENGGUNAKAN METODE IMPORTANCE PERFORMANCE ANALYSIS
K4 visits of pregnant women in Banyuputih Health Center showed a significant decline, especially in 2016 to 2017 (106% to 68%). So it is very important to analyze the satisfaction of pregnant women with antenatal care in Banyuputih Health Center in order to increase new visits and maintain previous visits of pregnant women. The purpose of this study was to determine the satisfaction of pregnant women for antenatal care in Banyuputih Health Center based on the Importance-Performance Analysis method in 2018. The method of this study was quantitative with cross-sectional design. The population in this study were pregnant women who had performed ANC services at Banyuputih Health Center during 2018. The sample in this study were 61 people. Data collection was done using primary and secondary data. The instrument of this research was a questionnaire using a Likert scale. Data analysis was done using Importance-Performance Analysis (IPA). The results showed that pregnant women were not satisfied with the services given to ANC in Banyuputih Health Center with a negative gap value of -0.40. The results of the IPA analysis showed that overall 5 dimensions of reliability, responsiveness, assurance, empathy, tangible (43 service indicators) there are 7 services that need to be improved and 15 quality ANC services that need to be maintained. Keywords: Pregnant Mother Satisfaction, Antenatal Care, Importance-Performance Analysis (IPA)
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