Unlocking Success: Determining Predictors of High-Performance among COMBI Community Health Volunteers in Kuala Lumpur and Putrajaya.

IF 1.3 4区 医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Iranian Journal of Public Health Pub Date : 2024-12-01
Muhammad Izmanuddin Fitri Abdul Razak, Fatimah Ahmad Fauzi, Nor Afiah Mohd Zulkefli
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Abstract

Background: Community Health Volunteers (CHVs) are crucial in achieving universal health coverage and vital in public health activities, including the COMBI (Communication for Behavioral Impact) approach for dengue prevention and control and assessing the performance of COMBI CHVs are essential in evaluating the program effectiveness. We aimed to measure the level of performance and determine predictors of high-performance among COMBI CHVs in Kuala Lumpur and Putrajaya.

Methods: A cross-sectional study was conducted in 2023 among 285 COMBI CHVs from 5 health operational zones in Kuala Lumpur and Putrajaya. The CHVs were stratified proportionately, with 45.5% of respondents randomly selected from each stratum based on their zones. Self-administered questionnaires assessed their performance level and associated factors, including training, supervision, knowledge, motivation, and job satisfaction. Chi-square and Multiple Logistic Regression tests were used to determine the factors and predictors of high-performance COMBI CHVs.

Results: The prevalence of high-performance COMBI CHVs was 59.3%, significantly associated with training factors (experience, duration, and adequacy of training), supervision factors (being supervised, supervision frequency, and encouragement from supervision), motivation and job satisfaction level. As for significant predictors, having at least one day of training (AOR=14.557), being supervised by medical personnel (AOR=4.997), having a high motivation level (AOR=5.538) and having a high job satisfaction level (AOR=4.562) were more likely to have a high-performance level.

Conclusion: Training duration, supervisor background, motivation and job satisfaction can contribute to high-performance levels among COMBI CHVs, which can applied in evidence-based policies and strategies for performance improvement and more effective community healthcare delivery.

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解锁成功:确定吉隆坡和布城COMBI社区卫生志愿者的绩效预测因素。
背景:社区卫生志愿者(chv)在实现全民健康覆盖和公共卫生活动中至关重要,包括用于登革热预防和控制的COMBI(行为影响沟通)方法,评估COMBI chv的绩效对于评估项目有效性至关重要。我们旨在衡量吉隆坡和布城COMBI chv的绩效水平并确定绩效预测因素。方法:于2023年对来自吉隆坡和布城5个卫生业务区的285名COMBI chv进行横断面研究。chv按比例分层,45.5%的受访者根据其所在区域从每个阶层随机抽取。自我管理的问卷评估了他们的表现水平和相关因素,包括培训、监督、知识、动机和工作满意度。采用卡方检验和多元Logistic回归检验确定高性能COMBI chv的影响因素和预测因素。结果:高绩效COMBI chv患病率为59.3%,与培训因素(经验、时长、培训是否充分)、监督因素(被监督、监督频率、监督鼓励)、工作动机和工作满意度显著相关。在显著性预测因子方面,接受过1天以上培训(AOR=14.557)、有医务人员监督(AOR=4.997)、工作动机高(AOR=5.538)和工作满意度高(AOR=4.562)的员工更容易产生绩效水平。结论:培训时间、主管背景、工作动机和工作满意度对综合医院基层医疗人员的绩效水平有影响,可应用于循证政策和策略,提高绩效,提高社区医疗服务效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Iranian Journal of Public Health
Iranian Journal of Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
2.20
自引率
7.10%
发文量
300
审稿时长
3-8 weeks
期刊介绍: Iranian Journal of Public Health has been continuously published since 1971, as the only Journal in all health domains, with wide distribution (including WHO in Geneva and Cairo) in two languages (English and Persian). From 2001 issue, the Journal is published only in English language. During the last 41 years more than 2000 scientific research papers, results of health activities, surveys and services, have been published in this Journal. To meet the increasing demand of respected researchers, as of January 2012, the Journal is published monthly. I wish this will assist to promote the level of global knowledge. The main topics that the Journal would welcome are: Bioethics, Disaster and Health, Entomology, Epidemiology, Health and Environment, Health Economics, Health Services, Immunology, Medical Genetics, Mental Health, Microbiology, Nutrition and Food Safety, Occupational Health, Oral Health. We would be very delighted to receive your Original papers, Review Articles, Short communications, Case reports and Scientific Letters to the Editor on the above men­tioned research areas.
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