日惹省医疗设施和人员对预期寿命的影响

Sri Suharsih, Ammar Thorif, Mufiidah Qurrota ‘Aini, Agnes Debora Sinaga
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摘要

目的:卫生服务发展旨在提高人力资源的质量。在这种情况下,卫生发展会提高公众的认识,使他们渴望健康地生活。衡量发展成功与否的一个指标是一个地区平均预期寿命(AHH)的变化。预期寿命是衡量政府在改善公众健康方面是否成功的国家或地区标准。DIY 省的预期寿命率将在 2022 年成为印尼最高: 本研究采用定量设计,使用二手数据分析数据时间序列:样本:使用的数据是 2000 年至 2022 年的年度数据,这些数据来自日惹卫生部的在线数据和图表:采用的分析方法是对时间序列数据进行多元回归:研究结果表明,卫生工作者人数、门诊人次和住院人次对预期寿命没有显著影响,而医院和保健中心的数量对预期寿命有显著影响。希望这项研究能成为今后提高医务人员素质的政策依据:除非有高质量的设施和基础设施,否则医务人员、门诊病人和住院病人的数量不会对预期寿命产生重大影响。在危机时期(如大流行病),设施不足会降低预期寿命。此外,增加医护人员而不平均分配,尤其是在偏远地区,对预期寿命没有影响。然而,医院和保健中心的数量对预期寿命有重大影响,因为它们提供基本的疾病预防和治疗服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Influence of Health Facilities and Personnel on Life Expectancy in Yogyakarta Province
Aims: Health service development aims to improve the quality of human resources. In this case, health development leads to public awareness and their desire to live healthily. One indicator of development success is the change in the average life expectancy (AHH) of an area. Life expectancy is a national or regional standard for measuring the government's success in improving public health. The life expectancy rate for DIY Province will be the highest in Indonesia in 2022. Study Design:  This research is using quantitative design with analysing data time series using secondary data. Place and Duration of Study: Sample: The data used is annual data from 2000 to 2022, obtained from the online data of the Yogyakarta Health ministry and in figure. Methodology: The analytical method used is multiple regression on time series data. Results: The results of the study showed that the number of health workers, outpatient visits, and inpatient visits did not have a significant effect, while the number of hospitals and health centres had a significant effect on life expectancy. It is hoped that this research can become the basis for policies to increase higher-quality medical personnel in the future. Conclusion: The number of health workers, outpatients, and inpatients does not significantly impact life expectancy unless accompanied by quality facilities and infrastructure. In times of crisis (e.g. pandemic), inadequate facilities can decrease life expectancy. Additionally, increasing health workers without equal distribution, especially in remote areas, has no effect on life expectancy. However, the number of hospitals and health centers has a significant impact on life expectancy as they provide essential disease prevention and treatment services.
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