探讨印度恰蒂斯加尔邦公共医疗机构卫生工作者的缺勤问题。

Priyanka Kerketta, Karthika Maniyara, Edukondal Palle, Prakash Babu Kodali
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引用次数: 0

摘要

目的:本研究旨在评估印度恰蒂斯加尔邦一个重点地区卫生工作者的缺勤情况及其相关因素:背景:卫生人力资源是建立弹性医疗保健系统的关键基础之一。恰蒂斯加尔邦是印度的高关注度邦,医护人员严重短缺,而缺勤则进一步加剧了医护人员的短缺:本研究是一项混合方法研究,采用了序列解释设计。缺勤是指在两次不同的暗访中,医护人员在没有正式请假或正式理由的情况下缺勤。通过随机、暗访的方式,对恰蒂斯加尔邦贾什布尔县的所有公共医疗机构进行了调查,调查中使用了根据印度公共卫生标准制定的检查表。有目的性地从医疗机构中抽取了 12 名参与者进行访谈,以探讨与缺勤相关的因素。对调查数据进行了描述性分析,并采用主题分析法对定性访谈进行了分析:在初级保健中心的所有职位(n = 339)中,有近 8%(n = 27)的人缺勤,而在社区保健中心的职位(n = 285)中,只有 1.14%(n = 4)的人缺勤。地区医院未发现旷工现象。定性访谈显示,宏观层面(地理位置和缺乏连通性)、中观层面(缺乏设备和便利设施、临时卫生设施、医生短缺和病人流失率低)和微观层面(未满足期望)的因素都是造成卫生工作者缺勤的原因:结论:初级保健中心的医护人员缺勤率较高。系统性挑战、人力资源短缺和基础设施不足是造成卫生工作者缺勤的原因。
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Exploring health worker absenteeism at public healthcare facilities in Chhattisgarh, India.

Aim: This study aims to assess the health worker absenteeism and factors associated with it in a high-focus district in Chhattisgarh, India.

Background: Human resources for health are among the key foundations to build resilient healthcare systems. Chhattisgarh is a high-focus Indian state with a severe shortage of health care workers, and absenteeism further aggravates the shortage.

Methods: This study was conducted as a mixed-methods study employing sequential explanatory design. Absenteeism was defined as the absence of health worker in the designated position without a formal leave or official reason in two different unannounced visits. A facility survey across all the public healthcare facilities in Jashpur district, Chhattisgarh, was conducted through random, unannounced visits employing a checklist developed based on Indian Public Health Standards. Twelve participants were purposively sampled and interviewed from healthcare facilities to explore factors associated with absenteeism. Survey data were analysed descriptively, and thematic analysis was employed to analyse qualitative interviews.

Findings: Among all the positions filled at primary health centre level (n = 339), close to 8% (n = 27) were absent, whereas among the positions filled at community health centre level (n = 285), only 1.14% (n = 4) were absent. Absenteeism was not found in the district hospital. Qualitative interviews reveal that macro-level (geographical location and lack of connectivity), meso-level (lack of equipment and amenities, makeshift health facilities, doctor shortage, and poor patient turnover), and micro-level (unmet expectations) factors contribute to health worker absenteeism.

Conclusion: Health worker absenteeism was more at PHC level. Systemic challenges, human resource shortages, and infrastructural shortcomings contributed to health worker absenteeism.

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