Barriers to enrolment into a professional upgrading programme for enrolled nurses in Kenya

Barriers to enrolment into a professional upgrading programme for enrolled nurses in Kenya
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肯尼亚注册护士参加专业升级计划的障碍

DOI:
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发表时间:
2012
期刊:
The Pan African Medical Journal
影响因子:
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通讯作者:
E. Oywer
E. Oywer
中科院分区:
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文献类型:
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作者:
A. Lakati;P. Ngatia;Caroline Mbindyo;D. Mukami;E. Oywer

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导论护士在提供卫生保健服务中起着关键作用。肯尼亚70%以上的护士是注册社区卫生护士(ECHN)。AMREF与肯尼亚护士理事会和卫生部合作,率先开展了一项电子学习护士升级方案。这项研究的目的是找出阻碍参加该方案的障碍。方法采用描述性横断面设计。访问了来自四个省份的532名幼儿保育和保健人员。数据是通过预先测试的自填式问卷收集的。采用SPSS计算机软件进行分析。对所有变量计算描述性统计,并使用卡方检验来确定与入学相关的变量。连续变量采用Mann Whitney U检验。结果1/3(29.7%)护士来自裂谷省,17.9%来自沿海地区。大多数(75%)来自公共卫生机构。护士的平均年龄为40.6岁。平均月收入为22,497.68克朗(294美元)。护士对升级计划的知晓率较高(97%)。在所有省份和所有卫生设施中,费用是阻碍入学的主要障碍(74.1%)。卫生设施的类型与入学人数显著相关(p<0.05)。来自以信仰为基础的医疗机构的护士不太可能参加。结论对升级计划的知晓率较高。升级方案、年龄和在基于信仰的保健机构工作的费用是入学的主要障碍。资助护士升级的干预措施将增加护士注册人数。
Introduction Nurses play a key role in the provision of health care. Over 70% of the nurses in Kenya are Enrolled Community Health Nurses (ECHNs). AMREF in partnership with Nursing Council of Kenya and the Ministry of Health pioneered an eLearning Nurse Upgrading Programme. The purpose of this study was to identify barriers that hindered enrolment into the programme. Methods A descriptive cross-sectional design was used. A sample of 532 ECHNs was interviewed from four provinces. Data was collected using a pre-tested self administered questionnaire. Analysis was done using SPSS computer software. Descriptive statistics were calculated for all variables and chi-square tests used to determine variables that were associated with enrolment. Mann Whitney U-test was used for continuous variables. Results A third (29.7%) of the nurses were from Rift Valley province and 17.9% from Coast. Majority (75%) were from public health facilities. The mean age of the nurses was 40.6 years. The average monthly income was KES 22,497.68 (USD 294). Awareness of the upgrading programme was high (97%) among the nurses. The cost of fees was the main (74.1%) barrier to enrolment in all the provinces and across all the health facilities. The type of health facility was significantly (p < 0.05) associated with enrolment. Nurses from faith-based health facilities were less likely to have enrolled. Conclusion Awareness of the upgrading programme is high. The cost of upgrading programme, age and working in a faith-based health facility are the main barriers to enrolment. Intervention that fund nurses to upgrade would increase nurse enrolment.