Development and Evaluation of EHR-enabled Population Health Outreach Strategies to Improve Diabetes Screening in a Safety-net Health System: a Pragmatic Randomized Controlled Trial
Development and Evaluation of EHR-enabled Population Health Outreach Strategies to Improve Diabetes Screening in a Safety-net Health System: a Pragmatic Randomized Controlled Trial
批准号:
10364512
负责人:
Michael Edward Bowen
金额:
$81.11万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-03-01 至 2026-11-30
关键词:
AddressAdultAffectBlack PopulationsClinicClinicalClinical effectivenessCommunitiesComplementCost Effectiveness AnalysisDetectionDevelopmentDiabetes MellitusDiagnosisDirect CostsElectronic Health RecordEthnic OriginEvaluationFeedbackFocus GroupsGoalsHealthHealth systemHealthcare SystemsHispanic PopulationsInterventionNon-Insulin-Dependent Diabetes MellitusNot Hispanic or LatinoOutcomePatient CarePatientsPilot ProjectsPopulation HeterogeneityPrediabetes syndromePrimary Health CareProcessProgram EffectivenessProviderPublic HealthRaceRandomizedRandomized Controlled TrialsRiskRisk AssessmentScreening for cancerSubgroupTestingVisitarmbaseclinical decision supportclinical practicecostcost effectivecost effectivenessdesigndiabetes riskdisparity reductioneffectiveness evaluationefficacy evaluationethnic diversityethnic minorityevidence baseexperiencehigh riskhigh risk populationimprovedintervention costnoveloutreachpatient outreachpatient screeningpopulation healthpragmatic trialprogramsracial and ethnicresponsesafety netscreeningscreening disparitiesscreening guidelinesscreening programthree-arm studytreatment as usual
中文摘要
项目总结/摘要
尽管有公认的国家筛查指南,2型糖尿病(T2 D)筛查仍不理想。
在美国,730万T2 D成人和74.5万糖尿病前期(PDM)成人仍未确诊。尽管
机会性筛查在临床实践中,近三分之一的初级保健患者未被诊断
糖尿病(PDM + T2 D)。为了缩小筛查差距,需要新的战略。我们采用基于证据的
从癌症筛查到将T2 D筛查概念化为多步骤过程的方法(风险评估,
筛选邀请、测试排序和测试完成),需要患者、提供者和
卫生系统接口。我们之前开发了帕克兰精神障碍检测程序(PDDP)-
基于EHR的多组分人群T2 D健康筛查干预,可自动进行风险评估,
批量订购筛查测试,并通过筛查邀请促进批量患者外展。PDDP关闭
筛查过程中的多个缺口,并补充临床实践中的机会性筛查。在我们
PDDP试点研究,一个单一的,通用的“逾期筛选”邀请有41%的响应率,而通常为13%
独自照顾。在完成筛选的患者中,37%患有PDM,5%患有T2 D,这代表病例“漏诊”,
机会性筛查虽然PDDP帮助缩小了总体筛查差距,并发现了
未诊断的精神障碍,对通用邀请的应答率在种族/民族亚组中相似
(西班牙裔42%; NH黑人41%; NH白人39%)和已知PDM与未知血糖状态的患者
(38% vs. 41%)。解决少数种族/族裔和患有糖尿病的人群中已知的筛查和结局差异
PDM,需要公平(不平等)筛选。在这一建议中,我们寻求改善PDDP的响应,
种族/族裔少数群体和已知患有PDM的人,以实现更公平的筛选。为了实现这一点,
我们将开发靶向(按人种/种族)、定制(按已知PDM与未知血糖状态)(TT)
筛选邀请(目标1),以增加高风险亚组的参与。然后我们将进行一个三臂
分簇随机对照试验(目标2),以评价PDDP提供的TT筛查外展+导航的疗效,
无应答者与PDDP提供的通用邀请,以提高高风险患者的筛选完成率
并评估TT PDDP和通用PDDP与常规PDDP相比提高筛查完成率的有效性
护理机会性筛查最后,我们将进行成本效益分析(目标3),
成本和每例筛选患者的成本以及三个研究组中发现的病例。总之,这些发现
将提供临床和成本效益高的方法,以缩小高风险人群的筛查差距,
患者由于PDDP是高度自动化和可扩展的,使用一个共同的EHR,我们的研究结果可以
在大多数卫生系统中实际执行。我们的发现将对临床和
寻求缩小T2 D筛查差距和减少筛查差异的卫生系统,
人群健康T2 D筛查策略,以补充常规护理中的机会性筛查。
英文摘要
PROJECT SUMMARY/ABSTRACT
Type 2 diabetes (T2D) screening remains suboptimal in spite of well-recognized, national screening guidelines.
In the US, 7.3 million adults with T2D and 74.5 with prediabetes (PDM) remain undiagnosed. In spite of
opportunistic screening in clinical practice, nearly one-third of primary care patients have undiagnosed
dysglycemia (PDM + T2D). To close screening gaps, new strategies are needed. We adapt evidence-based
approaches from cancer screening to conceptualize T2D screening as a multi-step process (risk assessment,
screening invitation, test ordering, and test completion) requiring coordination across patient, provider, and
health system interfaces. We previously developed the Parkland Dysglycemia Detection Program (PDDP) –
an EHR-based, multicomponent population health T2D screening intervention that automates risk assessment,
bulk orders screening tests, and facilitates bulk patient outreach via screening invitations. The PDDP closes
multiple gaps in the screening process and supplements opportunistic screening in clinical practice. In our
PDDP pilot study, a single, generic ‘overdue for screening’ invitation had a 41% response rate vs. 13% in usual
care alone. Of those completing screening, 37% had PDM and 5% had T2D, representing cases ‘missed’ by
opportunistic screening alone. Although the PDDP helped close overall screening gaps and detected cases of
undiagnosed dysglycemia, response rates to generic invitations were similar across racial/ethnic subgroups
(Hispanics 42%; NH Blacks 41%; NH whites 39%) and those with known PDM vs. unknown glycemic status
(38% vs. 41%). To address known screening and outcome disparities in racial/ethnic minorities and those with
PDM, equitable (not equal) screening is needed. In this proposal, we seek to improve the PDDP response in
racial/ethnic minorities and those with known PDM to achieve more equitable screening. To accomplish this,
we will develop Targeted (by race/ethnicity), Tailored (by known PDM vs. unknown glycemic state) (TT)
screening invitations (Aim 1) to increase engagement of high risk subgroups. We will then conduct a 3-arm
split-cluster RCT (Aim 2) to evaluate the efficacy of PDDP-delivered TT screening outreach + navigation of
non-responders vs. PDDP-delivered generic invitations to improve screening completion in high risk patients
and evaluate the effectiveness of the TT PDDP and Generic PDDP to improve screening completion vs. usual
care, opportunistic screening. Lastly, we will conduct cost-effectiveness analyses (Aim 3) to compare direct
costs and the cost per patient screened and case found across the three study arms. Together, these findings
will provide actionable evidence on clinical and cost-effective ways to close screening gaps in high-risk
patients. Because the PDDP is highly automated and scalable using a common EHR, our findings can be
practically implemented in most health systems. Our findings will have important implications for clinics and
health systems seeking to close T2D screening gaps and decrease screening disparities through scalable,
population-health T2D screening strategies to supplement opportunistic screening in usual care.
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Development and Evaluation of EHR-enabled Population Health Outreach Strategies to Improve Diabetes Screening in a Safety-net Health System: a Pragmatic Randomized Controlled Trial
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批准号:10581605
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项目类别:
-
资助金额:$79.96万
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财政年份:2022
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负责人:Michael Edward Bowen
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依托单位:
Predicting Diabetes Risk Using Glucose Data
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批准号:9313248
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项目类别:
-
资助金额:$17.54万
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财政年份:2014
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负责人:Michael Edward Bowen
-
依托单位:
Predicting Diabetes Risk Using Glucose Data
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批准号:9091500
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项目类别:
-
资助金额:$17.1万
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财政年份:2014
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负责人:Michael Edward Bowen
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依托单位:
海外基金