课题基金 / 基金详情

ASSESSMENT MODE AND VALIDITY OF SELF-REPORTS IN CHILDREN

ASSESSMENT MODE AND VALIDITY OF SELF-REPORTS IN CHILDREN
儿童自我报告的评估模式和有效性
批准号:
6629068
负责人:
Bruce George Bender
金额:
$38.03万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-02-10 至 2005-01-31

项目摘要

项目成果

Bruce George Bender的其他基金

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中文摘要
翻译
描述(改编自研究者摘要):自我报告是主要的 行为数据的来源。这个课题组此前曾进行过研究 显示许多患者过度报告治疗依从性, 无论是通过面对面访谈还是通过临床试验提供, 日记卡和父母是更不可靠的来源,坚持 信息比孩子。计算机辅助面试已经多次 比面对面的面谈或纸笔面试透露出更多的信息 关于高风险性行为和吸毒行为的问卷调查,但没有 在应用于慢性儿科疾病的依从性评估之前。 这项拟议研究的主要目标是检查 关于吸入性肺炎自我报告有效性的数据收集模式 与客观标准相比,抗炎药物依从性 通过电子监控。我们假设, 药物依从性与客观指标的一致性最低 在最高评估个性化条件下(即面对面 最低评估条件下的最高一致性 个性化(即电话计算机辅助面试)。此外,儿童 被期望比他们的父母更准确的记者,但父母 儿童差异随年龄的增长而减小。小儿哮喘 患者(N=120)将入组为期6个月的哮喘教育研究, 将被随机分配到:1)基于诊所的访谈者管理的问卷, 2)基于诊所的计算机辅助数据收集,或3)基于家庭的 计算机辅助电话采访。父报告和子报告将 单独收集。客观的、电子记录的依从性数据将 与自我报告相比。我们还将研究面试模式如何影响 自我报告的其他结局指标,包括哮喘症状和 生活这项研究的结果,连同我们的合作, 互动研究项目资助(IRPG)机构(约翰霍普金斯),将 展示数据收集方法如何影响自我报告,并有助于 在临床研究环境中确定最佳自我报告策略。结果 会直接影响到 用于哮喘和其他慢性疾病的临床研究。
英文摘要
DESCRIPTION (adapted from investigator's abstract): Self-reports are a primary source of behavioral data. This research group has conducted previous research showing that many patients over-report treatment adherence, that self-reports are unreliable whether provided by face-to-face interview or by clinical trial diary card and that parents are even less reliable sources of adherence information than children. Computer-assisted interviewing has repeatedly revealed more information than face-to-face interviewing or paper-and-pencil questionnaires about high risk sexual and drug-use behaviors, but has not before been applied to adherence assessment in chronic pediatric conditions. The primary objective of this proposed study is to examine the influence of mode of data collection on the validity of self-reports of inhaled anti-inflammatory medication adherence, as compared with an objective criterion obtained via electronic monitoring. We hypothesize that self-reports of medication adherence will have the lowest concordance with objective measures under conditions of highest assessment personalization (i.e. face-to-face interview) and highest concordance under conditions of lowest assessment personalization (i.e. telephone computer-assisted interview). Further, children are expected to be more accurate reporters than their parents, but that parent child-discrepancy will decrease with increasing child age. Pediatric asthma patients (N=120) will be enrolled in a six-month asthma education study and will be randomized to: 1) clinic-based interviewer administered questionnaire, 2) clinic-based computer-assisted data collection, or 3) home-based computer-assisted telephone interview. Parent reports and child reports will be collected separately. Objective, electronically recorded adherence data will be compared with self-reports. We will also examine how interview mode influences self-reports of other outcome measures including asthma symptoms and quality of life. Results of this study, together with those from our collaborative Interactive Research Project Grant (IRPG) institution (Johns Hopkins), will demonstrate how data collection methods influence self-report and serve to identify optimal self-report strategies in clinical research settings. Results from this investigation are expected to have immediate and direct implication for clinical research in asthma and with other chronic conditions.
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An Asthma Collaboration to Reduce Childhood Asthma Disparities on the Navajo Nation
  • 批准号:
    9387932
  • 项目类别:
  • 资助金额:
    $81.93万
  • 财政年份:
    2017
  • 负责人:
    Bruce George Bender
  • 依托单位:
An Asthma Collaboration to Reduce Childhood Asthma Disparities on the Navajo Nation
  • 批准号:
    10237947
  • 项目类别:
  • 资助金额:
    $59.43万
  • 财政年份:
    2017
  • 负责人:
    Bruce George Bender
  • 依托单位:
An Asthma Collaboration to Reduce Childhood Asthma Disparities on the Navajo Nation
  • 批准号:
    9978084
  • 项目类别:
  • 资助金额:
    $178.74万
  • 财政年份:
    2017
  • 负责人:
    Bruce George Bender
  • 依托单位:
An Asthma Collaboration to Reduce Childhood Asthma Disparities on the Navajo Nation
  • 批准号:
    10452568
  • 项目类别:
  • 资助金额:
    $141.06万
  • 财政年份:
    2017
  • 负责人:
    Bruce George Bender
  • 依托单位: