このページは自動翻訳されたものであり、翻訳の正確性は保証されていません。を参照してください。 英語版 ソーステキスト用。

がん患者のための統合された実用的な老化評価のパイロット

2026年10月30日 更新者:University of Colorado, Denver

Aging is the greatest risk factor for cancer incidence and mortality. Geriatric screening is recommended to help with treatment discussions, inform intensity of treatment, and identify supportive care needs. Despite a strong evidence base, geriatric assessments are not implemented routinely in oncologic clinics. Similarly, important information on social determinants of health, mental health, and health behaviors are inconsistently assessed, and almost never in an integrated fashion. In an effort to support clinicians delivering the recommended goal-concordant care, the investigators will integrate assessment of geriatric issues, health behaviors, mental health, and social determinants of health into an efficient, actionable contextual assessment system for older cancer patients called Integrated Aging Assessment for Action for Cancer Patients (IA3-CP). The investigators will use D&I strategies including co-creation engagement approaches and form-function methods to develop workflow processes that feasibly integrate the IA3-CP into usual initial assessment with the oncology team. Our objective is to develop and conduct a randomized pilot of the IA3-CP system and hypothesize that our results will show it can be implemented consistently, acted on, improve quality of care, and enhance patient-provider interactions.

調査の概要

詳細な説明

Aging is the greatest risk factor for cancer incidence and mortality. Strong data and expert recommendations support the use of geriatric screening assessments to guide treatment for older adults (>65 years old). Geriatric assessment findings can help in treatment discussions, inform intensity of treatment, and identify supportive care needs. Yet, despite evidenced-based benefits, geriatric assessments are not implemented routinely in oncologic clinics. Similarly, there are strong data and expert recommendations for assessment of social determinants of health (SDoH) and health behaviors, but consistent assessment and action on SDoH and health behaviors is infrequent. Clinicians aiming to deliver recommended goal-concordant care to older patients - which is informed by a patient's frailty, SDoH, health behaviors, and mental health - must act without this important contextual information.

We have identified a pragmatic geriatric screening tool (the G8) and adapted it to a validated patient-reported measure. We aim to integrate the novel, validated, patient reported G8 with the NCI funded, theory driven, evidence-based My Own Health Report (MOHR) system that captures patient reported health behavior, mental health, and social determinants of health (SDoH) through a web-based portal. We will integrate assessment of geriatric issues, health behaviors, mental health, and SDoH into an efficient, actionable contextual assessment system for older cancer patients called Integrated Aging Assessment for Action for Cancer Patients (IA3-CP). We will use D&I strategies including co-creation engagement approaches and form-function methods to develop workflow processes that feasibly integrate the IA3-CP into usual initial assessment with the oncology team. Our objective is to develop and conduct a randomized pilot of the IA3-CP system to determine if it can be implemented consistently, acted on, improve quality of care, and enhance patient-provider interactions.

RATIONALE:

The phrase "you have cancer" lands differently with older patients than it does those younger. The issues of frailty, comorbidity, mental and behavioral health, and SDoH are critical to formulating a personalized cancer treatment approach with an older person as they can't put these conditions "on hold" to focus on a cancer diagnosis. Aging is the greatest risk factor for cancer incidence and mortality, with nearly half of all cancers diagnosed after age 65. There is a clear need to create patient-centered care plans that align care that is medically feasible and aligned with individual patient needs, environment, and preferences.

Geriatric screening and assessment is broadly recommended for the care of older persons with cancer. Similarly, there is strong consensus that SDoH (e.g., food scarcity, medical affordability, safe environments) and health behaviors are key drivers of health disparities. Validated, pragmatic patient-report measures of geriatric issues, health behaviors, and SDoH exist but are seldom consistently assessed in clinical practice, hardly ever in an integrated fashion, and even less seldom acted on. Clinics need efficient, cost-effective tools to screen for and address multiple risks at the same time - technology can provide important efficiencies.

SIGNIFICANCE:

Using age as a primary determinant for cancer treatment puts older adults at risk of under- or over-treatment of cancer. Failure to implement available tools that enhance our ability to tailor care planning to the unique needs of older adults represents a critical gap in patient-centered care.

Implementation of geriatric-specific measures: Oncologists recognize functional assessment as a predictor of future morbidity and mortality risk, so much so that it largely dictates oncology treatment selection, yet are using measures insensitive in an older population. Oncologists will often use clinical gestalt to recommend modified variants of standard treatment. An integrated assessment system can provide actionable, more comprehensive personalized data to the patient and care team.

Geriatric 8: The G8 is a brief geriatric assessment tool that has been broadly validated in the oncology setting to screen for potential frailty and need for a comprehensive assessment. It incorporates functional status, cognition and mental health, and nutritional feedback to form a clinic collected 8-item assessment. To address identified barriers to implementation, the investigators adapted the G8 with input from our Rural Cancer Advisory Board to a patient-reported version. The investigators then pilot tested implementation and validity of the modified G8 in seven clinical environments - primary care and oncology in community and academic settings with excellent results. In parallel, the investigators devised a way to integrate the patient-reported items into the UCHealth EHR for use in clinical care and documentation. The investigators now propose to use similar strategies to integrate the IA3-CP into the EHR.

My Own Health Report (MOHR): MOHR is a patient-centered, web-based health risk assessment and feedback system for unhealthy behaviors, mental health status, and prioritizing patient concerns. MOHR has been used successfully in numerous primary care environments and its use has been found to result in patients feeling more cared for by their clinical team. Our randomized trial found that patients receiving MOHR improved physical activity (p < 0.001) and dietary behaviors (p < 0.001) that increase the risk for many oncology toxicities and significantly increased goal setting during primary care visits. The investigators have recently adapted MOHR to include SDoH such as transportation, food access, medication affordability, safety at home, housing, and financial stability. Much like the geriatric screen, MOHR provides information on health behaviors that may be at risk, especially in an older population more likely to face comorbid conditions.

This proposal will integrate our evidence-based health risk assessment (MOHR) with a geriatric health screener (G8) to assess and address the needs of older adults with cancer. Key challenges to assessment of SDoH and cancer risks are the nonsystematic and separate, non-integrated way these assessments are conducted and the limited time in clinic visits to identify risks, and tailor treatment and goal setting to patient context and priorities. When patients complete our MOHR web-based system, actionable information on health risks and SDoH along with patients' priorities provides for more informed and efficient patient-clinician interactions. This is an example of how well-designed, contextually-appropriate technology developed with patients and clinicians can provide important efficiencies to address clinical and implementation challenges.

In combining the extensive preliminary work in designing the modified G8 and the demonstrated success of the MOHR automated assessment and feedback system with the clinical and methodologic expertise of our team, the investigators are positioned to successfully pilot the IA3-CP in the UCCC. This proposal addresses a clear gap in the needs of older cancer patients and clinical teams and will lead to many future collaborations including a UG3/UH3 MPI pragmatic trial submission.

INNOVATION:

Our proposed feasibility pilot will accelerate the implementation of patient-reported measures to inform care planning for the diverse and at-risk population of older adults with cancer. It will also advance transdisciplinary cancer research by demonstrating integration of multiple risk issues in a pragmatic fashion using innovative D&I science and engagement methods.

研究の種類

介入

入学 (推定)

35

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

    • Colorado
      • Aurora、Colorado、アメリカ、80045
        • University of Colorado Hospital

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

65年~111年 (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:

  • Age > /= 65
  • Patient must agree to participate in all study-related activities
  • English or Spanish speaking
  • Attending initial visit to oncology

Exclusion criteria

  • age < 65
  • primary language other than English or Spanish

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:ランダム化
  • 介入モデル:並列代入
  • マスキング:独身

武器と介入

参加者グループ / アーム
介入・治療
実験的:IA3-CP with SDoH

Assess IA3-CP with SDoH and provide feedback (provider & patient)

Each patient randomly assigned to IA3-CP with SDoH study arm will complete a pre-visit assessment tool including SDoH. Feedback is provided to provider and patient.

実験的:IA3-CP only

Assess IA3-CP only without added SDoH and provide feedback (provider & patient)

Each patient randomly assigned to IA3-CP only study arm will complete a pre-visit assessment tool excluding SDoH. Feedback is provided to provider and patient.

介入なし:Control - usual care

Usual care: Assess IA3-CP without providing the feedback report

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
Patient reported receipt of quality illness care
時間枠:12 weeks

Measured by the Patient Assessment of Chronic illness Care (PACIC). The score ranges from 1-5 where higher scores mean a better outcome

12 weeks
Number of referrals made and completed for geriatric, health behavior and SDoH issues
時間枠:16 weeks

Measured by data abstraction from EHR

16 weeks

二次結果の測定

結果測定
メジャーの説明
時間枠
Discussion of IA3-CP related issues in oncologist-patient encounter
時間枠:7 months

Measured by checklist adapted from the Roter interaction analysis system (RIAS) completed from recorded observation of patient-oncologist meeting

7 months
Oncologist utility
時間枠:7 months

Did IA3-CP change your care plan? (yes/no) How helpful was it? (6 pt. scale)

7 months
Proportion of patients that use IA3-CP screening tool
時間枠:7 months

Measured by clinic leadership report & observation

7 months

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。

捜査官

  • 主任研究者:Russell E Glasgow、University of Colorado, Denver

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)

2024年3月1日

一次修了 (実際)

2024年8月6日

研究の完了 (推定)

2026年12月1日

試験登録日

最初に提出

2023年4月24日

QC基準を満たした最初の提出物

2023年5月12日

最初の投稿 (実際)

2023年5月23日

学習記録の更新

投稿された最後の更新 (実際)

2026年11月3日

QC基準を満たした最後の更新が送信されました

2026年10月30日

最終確認日

2026年10月1日

詳しくは

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。

購読する