DIABETIC RETINOPATHY AWARENESS PROGRAM
DIABETIC RETINOPATHY AWARENESS PROGRAM
批准号:
3559999
负责人:
Elinor R. Schoenfeld
金额:
$34.15万
依托单位国家:
美国
项目类别:
财政年份:
1992
资助国家:
美国
项目状态:
已结题
起止时间:
1992-09-30 至 1996-09-29
中文摘要
糖尿病影响着大约1000万美国人,并且是糖尿病的主要原因。
失明 几乎所有糖尿病患者都会出现一定程度的
糖尿病视网膜病变的发病率。 如果有能力诊断
糖尿病视网膜病变的无症状形式,最近的进展,
疾病的有效治疗,以及这些治疗的不足,
现有技术,向人们传播这一信息,
对于最大限度地提高这一群体的护理质量至关重要。
糖尿病视网膜病变意识计划正在提出,以解决
这些问题 这是一项随机对照教育干预试验
将在纽约萨福克郡举行。 该研究旨在控制
通过评估社区糖尿病视网膜病变的视力丧失
各种增加眼科服务使用的方法,
糖尿病患者。 拟议的审判将包括一个严格的
研究设计和评估各种战略的有效性,
行为改变 方法和干预技术将被绘制
来自流行病学、临床试验、健康教育和
宣传、信息传播和疾病登记。
将从多个社区来源确定糖尿病患者,
例如药房、医生办公室和卫生诊所、卫生保健
工人,来自美国糖尿病协会和长期
海岛照明公司、大众传媒等网络。 通过这些
渠道,该研究预计将确定超过2,500人超过
年龄,并招募840人进入教育干预试验。
试验的合格性将基于缺乏眼科检查。
在过去的两年内进行了检查。 符合条件的个人将
随机分配至非干预对照组,
介入臂或多部件介入臂,并随后形成
两年 调查数据将在基线、中点和
完成试验,以获得有关知识、态度、信仰和
关于糖尿病、糖尿病相关眼病和
眼科护理 眼科检查的数据,这是主要的研究
终点,将由参与者的眼科医生确认。 的
将评估每项干预措施的有效性,并将结果用于
开发一个原型干预模式,可用于其他
社区.
该研究从完善的健康干预计划中汲取方法
用于其他疾病和其他人群。 的一个主要优势
这项拟议的研究得到了社区组织的广泛支持,
当地的眼科医生 其结果将提供数据,以评估
各种以社区为基础的招募糖尿病患者的方法的成功
教育干预;它还将测试和比较各种类型的
的干预措施。 这些信息将有助于创造未来。
干预模式。 此外,它将制定方法,
经济而有效地跟踪卫生保健利用率的变化,
人口数量的变化。
英文摘要
Diabetes affects approximately 10 million Americans and is a major cause of
blindness. Almost all persons with diabetes will develop some degree of
diabetic retinopathy during their lives. Given the ability to diagnose
diabetic retinopathy in an asymptomatic form, the recent advances for the
effective treatment of the disease, and the underutilization of these
available technologies, the dissemination of this information to persons
with diabetes is crucial to maximize the quality of care among this group.
The Diabetes Retinopathy Awareness Program is being proposed to address
these issues. It is a randomized controlled educational Intervention trial
to be conducted in Suffolk County, New York. The study aims to control
visual loss from diabetic retinopathy in the community by evaluating
various methods of increasing the use of ophthalmologic services among
persons with diabetes. The proposed trial would incorporate a rigorous
study design and evaluation of the effectiveness of various strategies for
behavioral change. Methodology and intervention techniques will be drawn
from the fields of epidemiology, clinical trials, health education and
promotion, information dissemination and disease registration.
Persons with diabetes will be identified from multiple community sources,
such as pharmacies, physician offices and health clinics, health care
workers, mass mailings from the American Diabetes Association and the Long
Island Lighting Company, mass media and other networks. Through these
channels, the study expects to identify over 2,500 individuals over the
age, and enroll 840 persons into the educational intervention trial.
Eligibility for the trial will be based on lack of an ophthalmologic
examination within the last two years. Eligible individuals will be
randomized into a nonintervention control arm, a single one-time
intervention arm or a multiple-component intervention arm and followed for
two years. Survey data will be collected at baseline, midpoint and at
trial completion to obtain information on knowledge, attitudes, beliefs and
practice regarding diabetes, diabetic related eye disease and
ophthalmologic care. Data on eye examinations, which are the major study
endpoint, will be confirmed by the participants' ophthalmologists. The
effectiveness of each intervention will be evaluated and results used to
develop a prototype intervention model, which can be used in other
communities.
The study draws methods from well established health intervention schemes
in use for other diseases, and in other populations. A major strength of
the proposed study is its extensive support by community organizations and
the local ophthalmologists. Its results will provide data to evaluate the
success of various community based methods to recruit persons with diabetes
for educational interventions; it will also test and compare various types
of interventions. This information will assist in creating future
intervention models. In addition, it will develop methods to
inexpensively, yet effectively, track changes in health care utilization in
a population over time.
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