Does Access to an EHR Patient Portal Influence Chronic Disease Outcomes?
Does Access to an EHR Patient Portal Influence Chronic Disease Outcomes? A Randomised Trial Assessing Clinical and Behavioural Change Outcomes in Patients With CHF, Diabetes, or Secondary CVD
調査の概要
詳細な説明
The specific aims of the study are to determine if e-portal interventions influence:
- Measures of patient activation, patient self-management, treatment adherence, patient satisfaction with care, and disease specific knowledge.
- Process measures relevant to appropriate care for CVD, CHF, and DM.
- Clinical markers of cardiovascular or diabetes morbidity and risk.
These aims will be evaluated in one-year prospective study. Patients who use the portal will be randomized to control (i.e., access to routine portal-related information) and intervention groups (i.e., targeted and periodic messages designed to capture data relevant to self-management; to improve knowledge of their specific disease, tests, and risks; to devise time-dependent goals; and to motivate self-efficacy). Outcomes including activation, satisfaction, and adherence will be measured by telephone interview prior to and one year after intervention, and by lab and clinical measures and data available from the EHR. We will also evaluate potential selection issues among those who sign on to the e-portal by administering the same baseline interview to a matched (by disease and by age) random sample of patients who do not sign on to the e-portal.
Patients with chronic diseases are likely to experience particular benefit from online e-health resources as they have greater information needs and participate in self-management.(Camer, 2000) Unlike traditional office visits, online interactions eliminate the need to travel, are always available and give the patient access to a broad range of information, helping them actively participate in their own care.(Brown, 1999) There is growing evidence that patient education and engagement using e-health applications results in improved patient outcomes in the care of chronic illnesses, improved patient-physician communication, and reduction of anxiety for caregivers.(Brennan et al., 2001; Bronson et al., 1986; Bronson & O'Meara, 1986; Ross et al., 2003a, 2003b) We anticipate demonstrating clinically meaningful improvements in chronic disease health status, using evidence-based science delivered in behaviorally-validated ways.
研究の種類
入学 (予想される)
段階
- 適用できない
連絡先と場所
研究場所
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Pennsylvania
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Danville、Pennsylvania、アメリカ、17822-2602
- Center for Health Research & Rural Advocacy. Geisinger Clinic
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- Adult age 18 years or older
- Have medical records in the Geisinger Electronic Health Record
- Have congestive heart failure and/or Diabetes and/or cardiovascular disease
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 割り当て:ランダム化
- 介入モデル:並列代入
- マスキング:独身
この研究は何を測定していますか?
主要な結果の測定
結果測定 |
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knowledge, behavior change, relevant clinical measures
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協力者と研究者
捜査官
- 主任研究者:Walter F Stewart, PhD、Geisinger Health Systems
- スタディチェア:Nirav R Shah, MD. MPH、NYU Langone Health
研究記録日
主要日程の研究
研究開始
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (見積もり)
学習記録の更新
投稿された最後の更新 (見積もり)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
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