Diabetes mellitus and treatment outcomes in Palestine refugees in UNRWA primary health care clinics in Jordan

Diabetes mellitus and treatment outcomes in Palestine refugees in UNRWA primary health care clinics in Jordan
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DOI:
10.5588/pha.13.0083
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发表时间:
2013-12-21
影响因子:
1.4
通讯作者:
Seita, A.
Seita, A.
中科院分区:
其他
文献类型:
--
作者:
Khader, A.;Ballout, G.;Seita, A.

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地点:约旦6家初级卫生保健诊所,为确诊为糖尿病(DM)的巴勒斯坦难民提供服务。目标:报告2013年第二季度登记的新糖尿病患者和截至2013年6月30日登记的所有DM患者的数量和特征,以及晚期并发症的治疗结果和累积负担。设计:使用通过e-Health收集的常规数据进行描述性队列研究。结果:在2013年第二季度新登记的288名DM患者和截至2013年6月30日登记的12548名DM患者中,吸烟、缺乏运动和肥胖的比例分别为19%、50%和47%。2013年第二季度,9740名患者(78%)到诊所就诊,其中99%的患者接受了疾病控制措施:其中72%的患者有餐后血糖。血胆固醇为180 mg/dl,血胆固醇为200 mg/dl,血压为140/90,体重指数为30 kg/m(2)者占82%。就诊的1130名患者(11.6%)出现了晚期并发症,其中心血管疾病和中风是最常见的。结果发现男性和女性之间有一些差异。结论:在约旦的初级卫生保健诊所,糖尿病造成的疾病负担很高。使用e-Health进行队列分析是评估管理和后续行动的重要方式。
Setting: Six primary health care clinics in Jordan, serving Palestine refugees diagnosed with diabetes mellitus (DM).Objectives: To report on the number and characteristics of new DM patients registered in the second quarter of 2013 and of all DM patients ever registered by 30 June 2013, with treatment outcomes and cumulative burden of late-stage complications.Design: A descriptive cohort study using routine data collected through e-Health.Results: Of the 288 new patients in Q2 2013 and 12 548 patients ever registered with DM by 30 June 2013, smoking, physical inactivity and obesity were recorded in 19%, 50% and 47%, respectively. In Q2 2013, 9740 (78%) patients attended a clinic, with > 99% having undergone disease control measures: of these, 72% had postprandial blood glucose. 180 mg/dl, 71% had blood cholesterol < 200 mg/dl, 82% had blood pressure < 140/90 and 40% had body mass index < 30 kg/m(2). Late-stage complications were present in 1130 (11.6%) patients who attended a clinic, with cardiovascular disease and stroke being the most common. Several differences in outcomes were found between males and females.Conclusion: There is a high burden of disease due to DM at primary health care clinics in Jordan. Cohort analysis using e-Health is a vital way to assess management and follow-up.