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健康を家に持ち帰る (BHH)

2026年11月2日 更新者：George Unick、University of Maryland, Baltimore

健康を家庭に: 住宅ベースの遠隔医療調整介入の評価

Individuals suffering from Serious Mental Illnesses (SMI) are at risk for serious adverse health and social outcomes compared to the general population due to a high prevalence of chronic physical health disorders such as cardiovascular disease, hypertension, and Type II Diabetes, along with consequences of mental distress such as suicide, substance abuse, and acute stress.While pharmacological treatments exist for these conditions, they have limited effectiveness in SMI populations because: (1) up to 60% of individuals with SMI do not take their psychiatric or somatic medications as prescribed, (2) individuals with SMI have poorer clinical outcomes and experience high rates of hospitalizations, and (3) individuals with SMI experience worse care. Challenges in the management of these complex chronic health and mental health conditions have led to the development of intensive community-based service delivery programs. However, as currently structured these intensive in-person interventions have only had limited impact optimizing service delivery, and consequently on adherence to treatment and health outcomes. While in-person clinical contact in select situations is important, telehealth may serve as an effective and nimble intervention to help meet the high need for clinical intervention for SMI populations and particularly those with geographically limited-service access. Although research exists regarding the efficacy of telehealth with SMI populations, most of the existing interventions with this population have been designed for institutional settings, not community settings, because of barriers to adoption of telehealth such as limited access to digital technology, technical support difficulties and cost of necessary technology. The COVID-19 pandemic has underscored the need for developing effective telemedicine and telemonitoring technologies to serve the unique needs of this vulnerable population in community settings. This project builds on a successful Phase I SBIR project and ongoing Phase II clinical trial of the Medherent medication management platform. This study will test an expanded set of telehealth care-coordination services that can be used to address the broad health needs of individuals diagnosed with SMI living in community settings and supported by community mental health agencies. The study team will recruit 300 individuals, including 200 individuals currently using the device and 100 new users of the device. The study will test the existing Medherent platform and a set of extended services. Our key outcomes include acute service use, receipt of preventive and other health screenings, health outcomes and costs of services. The study will use a Stepped Wedge Design approach with a matched comparison group to identify potential benefits of the intervention.

調査の概要

状態

積極的、募集していない

条件

介入・治療

研究の種類

介入

入学 (推定)

300

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

  • アメリカ
    • Maryland
      • Baltimore、Maryland、アメリカ、20201
        • University of Maryland

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

18年～88年 (大人、高齢者)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

説明

Inclusion Criteria:

  • Serious Mental Illness Diagnosis
  • Prescribed psychiatric medications
  • 18 to 80 years old
  • Receives services by a participating community mental health agency at time of enrollment
  • Be unable to consent to the study as assessed by the consent questionnaire.
  • Sample 1: Current Users of Medherent or
  • Sample 2: Willing or able to authorize to have the Medherent device in your residence

Exclusion Criteria:

• Unable to have the Medherent device in residence

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか？

デザインの詳細

  • 主な目的：ヘルスサービス研究
  • 割り当て：非ランダム化
  • 介入モデル：クロスオーバー割り当て
  • マスキング：なし（オープンラベル）

武器と介入

参加者グループ / アーム
介入・治療
介入なし：Usual Care

Usual Care: no intervention elements.
アクティブコンパレータ：Existing Medherent

Group using the Medherent Device with no added intervention components.
他の：Medherent

Medherent is a telehealth adherence intervention platform designed for individuals with Serious Mental Illness living in the community. It is currently being used to dispense medication and monitor consumer adherence. It is a fully supported digital hub that is always on network connection and provides a cost- effective mechanism for increased care coordination through the Electronic Medication Record (EMR). The enhanced intervention will add collection of health data though Bluetooth connected devices, Telehealth medical visits and integrated algorithms that provide feed back to providers and consumers about health status.
実験的：New Medherent

Group using Medherent Device with added interventional components.
他の：Medherent

Medherent is a telehealth adherence intervention platform designed for individuals with Serious Mental Illness living in the community. It is currently being used to dispense medication and monitor consumer adherence. It is a fully supported digital hub that is always on network connection and provides a cost- effective mechanism for increased care coordination through the Electronic Medication Record (EMR). The enhanced intervention will add collection of health data though Bluetooth connected devices, Telehealth medical visits and integrated algorithms that provide feed back to providers and consumers about health status.

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
メジャーの説明
時間枠
Health Service Utilization
時間枠：Two years prior to study enrollment to at least one year after study enrollment.

The study team will use medical records and claims data to calculate monthly counts of outpatient/ambulatory care events, inpatient hospitalization, and Emergency Room or urgent care visits. The Healthcare Effectiveness Data and Information Set (HEDIS) tool will be used to identify preventable hospitalization or emergency room visits, follow up care after hospitalizations or emergency room visits.
Two years prior to study enrollment to at least one year after study enrollment.
Consumer Satisfaction STAR-P
時間枠：Change from Baseline to 6 months to 12 Months

Consumers self reports of services satisfaction with agency services. Scale is between 12 and 60. Higher scores are associated with higher satisfaction with services.
Change from Baseline to 6 months to 12 Months
Diabetes control as reported hemoglobin A1c levels
時間枠：Two years prior to study enrollment to at least one year after study enrollment.

Reported hemoglobin A1c will be use to assess adherence to medication by modeling individual change change over time. A1C levels between 5.7 and less than 6.5% will be conferred as prediabetes range. A1C level of 6.5% or higher are considered in the diabetes range.
Two years prior to study enrollment to at least one year after study enrollment.
Reported Low-density lipoprotein (LDL)/High-density lipoprotein (HDL)
時間枠：Two years prior to study enrollment to at least one year after study enrollment.

Reported Low-density lipoprotein (LDL)/High-density lipoprotein (HDL) will be use to assess adherence to medication by modeling individual change change over time. Normal HDL is 45 to 70 mg/dL for men and 50 to 90 mg/dL for women. The cutoff for good total cholesterol to HDL ratio is 5:1. Lower ratios are better than higher ratios.
Two years prior to study enrollment to at least one year after study enrollment.
High blood pressure.
時間枠：Two years prior to study enrollment to at least one year after study enrollment.

Reported blood pressure will be use to assess adherence to medication by modeling individual change change over time. Scores will be considered normal if systolic is less than 120 mm Hg and diastolic less than 80 mm Hg. Scores will be considered elevated if systolic is 120-129 mm Hg and diastolic is less than 80 mm Hg. Scores will be considered evidence of hypertension if systolic is greater than 130 mm Hg and diastolic is more than 80 mm Hg.
Two years prior to study enrollment to at least one year after study enrollment.
Change in Health Service Costs
時間枠：Two years prior to study enrollment to at least one year after study enrollment.

Costs of health services and mental health agency care will be calculated from Medicaid Claims data. These costs will be calculated for outpatient care, emergency room/urgent care, and inpatient hospitalization care by summing up all the costs of medical claims in each of these categories by month.
Two years prior to study enrollment to at least one year after study enrollment.

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

University of Maryland, Baltimore

捜査官

  • 主任研究者：George Unick、University of Maryland

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2022年5月9日

一次修了 (実際)

2025年8月15日

研究の完了 (推定)

2028年9月1日

試験登録日

最初に提出

2021年11月19日

QC基準を満たした最初の提出物

2021年12月2日

最初の投稿 (実際)

2021年12月16日

学習記録の更新

投稿された最後の更新 (実際)

2026年11月5日

QC基準を満たした最後の更新が送信されました

2026年11月2日

最終確認日

2026年11月1日

詳しくは

本研究に関する用語

追加の関連 MeSH 用語

その他の研究ID番号

  • HP-00098021

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

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