- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT00793260
Deep Dive Randomized Control Trial
연구 개요
연구 유형
등록 (실제)
단계
- 해당 없음
연락처 및 위치
연구 장소
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Maine
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Portland, Maine, 미국, 04101
- Health Dialog Analytic Solutions, Inc
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참여기준
자격 기준
공부할 수 있는 나이
- 어린이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
설명
Inclusion Criteria:
- All employees, dependents and retirees in one of seven large employer groups, including a state university system, a state employee group, two manufacturing companies, a natural resource extraction company, a public educational service agency, and a nonprofit multiple employer association for independent colleges were eligible for inclusion.
Exclusion Criteria:
- no financial information was available from their facility and professional claims;
- they were in an employer sub-group ineligible for care support services;
- they asked not be to contacted or were deceased;
- gender information was missing from their eligibility files;
- their claims data from the year prior to the start of the study indicated diagnoses of HIV, AIDS, end-stage renal disease (ESRD), organ transplants, or necrotizing fasciitis (intended to improve the likelihood of a balanced distribution of costs and conditions); OR
- they were in an employer sub-group with less than four months of enrollment prior to the study start date (resulting in too little information for stratification).
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 하나의
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
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활성 비교기: Usual Support Group
Predictive models in the Usual-Support Group were aimed at identifying individuals through medical claims and administrative data (such as hospitalization notification).
The output of the predictive models is a rank-ordered, or stratified, list of individuals who have support needs.
These lists were then used to generate outbound mail, interactive voice response (IVR) calls or calls by health coaches.
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Predictive models in the Usual-Support Group were aimed at identifying individuals through medical claims and administrative data (such as hospitalization notification).
The output of the predictive models is a rank-ordered, or stratified, list of individuals who have support needs.
These lists were then used to generate outbound mail, interactive voice response (IVR) calls or calls by health coaches.
|
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실험적: Enhanced Support Group
The Enhanced-Support Group intervention used more sophisticated predictive models, more extensive outreach to engage individuals, and provided tighter feedback loops to inform the care support process.
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The Enhanced-Support Group program used lower risk thresholds for targeted outreach of individuals with chronic illness and for those likely to face discrete surgical interventions. Individuals at high financial risk but without one of the five chronic conditions were included in the Enhanced-Support Group. The Enhanced-Support Group received up to five initial reach attempts while the Usual-Support Group received up to three attempts. The Enhanced-Support Group used a 'tight loop' management structure including detailed, timely coach level feedback reports on efficiency and effectiveness. |
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
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The primary outcome measure was total medical costs (capped at $200,000 per individual per year) and pharmacy costs.
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2차 결과 측정
결과 측정 |
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Secondary measures included utilization of selected services.
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공동 작업자 및 조사자
스폰서
수사관
- 수석 연구원: David E Wennberg, MD, MPH, Health Dialog
간행물 및 유용한 링크
연구 기록 날짜
연구 주요 날짜
연구 시작
기본 완료 (실제)
연구 완료 (실제)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (추정)
연구 기록 업데이트
마지막 업데이트 게시됨 (추정)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .