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Teaching Medical Students to Verify AI-Generated Citation Hallucinations (SARA)

2026年9月21日 更新者:Sara Reza、Quaid-e-Azam Medical College

Effect of the SARA Citation-Verification Framework on Medical Students' Verification of AI-Generated Citation Hallucinations: A Randomized Controlled Trial With an Explanatory Sequential Mixed-Methods Component

Generative artificial intelligence (GenAI) tools are increasingly used by medical students for literature searching, scientific writing, and research. However, AI-generated citations may contain errors. Some references may not exist or may contain incorrect bibliographic details, while other references may be genuine but may not actually support the claim for which they are cited.

This randomized educational study will evaluate whether a structured citation-verification framework called SARA can improve medical students' ability to identify and correct these problems. SARA teaches students to assess four elements of a citation: Source authenticity, Accuracy, Relevance, and Alignment between the cited evidence and the claim being made.

Year 3-5 medical students will be randomly assigned to either a 75-minute SARA training session or an attention-matched session on responsible use of GenAI in academic work. Participants will complete citation-verification assessments before training, immediately after training, and 12 weeks later. The main outcome will assess whether students can independently apply the verification approach to an unstructured literature-review task 12 weeks after training, without being prompted to use SARA.

The study will also examine which types of citation errors remain difficult, whether students initiate appropriate verification, the quality of their verification, handling of valid citations, and confidence in their judgments. A subgroup of participants will take part in think-aloud and follow-up interviews to explore how they approach citation verification and transfer the strategy to new tasks.

調査の概要

状態

まだ募集していません

条件

介入・治療

詳細な説明

AI-generated citation errors can occur at different levels. Some are source-level errors, such as fabricated references or incorrect bibliographic details. Others are more difficult to detect because the cited publication is genuine, but the evidence may be irrelevant, may not support the direction, magnitude, population, or conclusion of the claim, or may be presented without important qualifiers or limitations. In this study, these problems are examined across a five-level citation-error taxonomy ranging from non-existent sources to contextual omission or overgeneralization.

The SARA framework was developed as an educational scaffold to make citation-verification reasoning explicit. It prompts learners to ask whether the source exists, whether the citation details are accurate, whether the source is relevant to the specific claim, and whether the evidence is aligned with the claim as written. The intervention uses modelling, coached practice, feedback, articulation, reflection, and progressive removal of support so that learners move from guided verification toward independent judgment.

A key feature of the study is assessment of delayed transfer rather than immediate post-training performance alone. At 12 weeks, participants will review a realistic literature-review passage containing both valid and problematic citation-claim relationships without being told how many errors are present or being prompted to use SARA. This is intended to evaluate whether the verification strategy has become sufficiently internalized to be applied independently in a new scholarly context.

The explanatory qualitative component will explore why some learners successfully transfer verification skills while others continue to miss deeper evidence-claim problems. Think-aloud and stimulated-recall interviews will examine what triggers verification, how learners decide that evidence is sufficient, when they stop checking, and how they distinguish source existence from evidentiary support.

研究の種類

介入

入学 (推定)

320

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。

研究連絡先

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

  • 子
  • 大人
  • 高齢者

健康ボランティアの受け入れ

はい

受講資格のある性別

全て

説明

Inclusion Criteria:

  • Enrolled as an MBBS student in Year 3, Year 4, or Year 5 at Quaid-e-Azam Medical College, Bahawalpur.
  • Has received basic curricular exposure to research methodology or scientific literature searching.
  • Has not previously received formal structured training specifically in verification of AI-generated citations.
  • Willing and able to provide written informed consent.
  • Meets the age eligibility specified in the approved study protocol.

Exclusion Criteria:

  • Previous participation in development, cognitive interviewing, piloting, or validation testing of the SARA assessment materials.
  • Previous formal training in the SARA citation-verification framework before enrolment.
  • Unwilling or unable to provide informed consent.

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:他の
  • 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:SARA Citation-Verification Training

Participants assigned to this arm will receive a standardized 75-minute educational intervention using the SARA citation-verification framework: Source authenticity, Accuracy, Relevance, and Alignment. Training includes facilitator modelling and think-aloud demonstration, coached practice with feedback, use of a one-page verification scaffold, articulation and reflection, and progressive fading of prompts before independent practice. The intervention is designed to teach students to distinguish source-level citation errors from deeper evidence-claim errors and to apply structured verification independently.

A standardized 75-minute educational intervention using the SARA framework: Source authenticity, Accuracy, Relevance, and Alignment. The session includes facilitator modelling and think-aloud demonstration, coached practice with feedback, a one-page verification scaffold, learner articulation and reflection, and progressive fading of prompts before independent practice. The intervention is designed to teach medical students to identify both source-level citation errors and deeper evidence-claim errors and to apply verification independently.

アクティブコンパレータ:Responsible GenAI Education Control

Participants assigned to this arm will receive an attention-matched 75-minute educational session on responsible use of generative artificial intelligence in academic work. The session covers privacy, disclosure, authorship, academic integrity, and general awareness that GenAI may produce errors. It does not teach the SARA framework or another structured citation-verification process. The session is matched to the intervention for duration, group size, facilitator interaction, and delivery format.

A standardized 75-minute attention-matched educational session on responsible use of generative artificial intelligence in academic work. The session covers privacy, disclosure, authorship, academic integrity, and general awareness that GenAI may produce errors. It does not teach the SARA framework or another structured citation-verification process. The session is matched to the SARA intervention for duration, group size, facilitator interaction, and delivery format.

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
Independent Citation-Verification Performance on an Unstructured Scholarly Transfer Task
時間枠:12 weeks after the intervention

Participants will review a novel approximately 650-word AI-generated literature-review passage containing eight embedded citation-claim relationships. The passage includes both valid and erroneous citations spanning the study's five-level citation-error taxonomy. Participants will not be prompted to use the SARA framework and will not be told how many or what types of errors are present. Each citation-claim relationship will be scored against a prespecified gold standard for the appropriateness of the participant's final disposition. One point will be awarded for each appropriate disposition, producing a total score from 0 to 8, with higher scores indicating better independent citation-verification performance. Responses will be scored by outcome assessors blinded to intervention allocation.

12 weeks after the intervention

二次結果の測定

結果測定
メジャーの説明
時間枠
Structured Citation-Verification Performance
時間枠:Immediately after the intervention and 12 weeks after the intervention

Citation-verification performance will be measured using parallel 24-item structured assessment forms. Each item requires an appropriate final disposition of a citation-claim pair against a prespecified gold standard. One point will be awarded for each correct disposition, giving a total score from 0 to 24. Higher scores indicate better structured citation-verification performance.

Immediately after the intervention and 12 weeks after the intervention
Citation-Verification Accuracy by Citation-Error Condition
時間枠:Immediately after the intervention and 12 weeks after the intervention

Accuracy will be assessed separately for valid/aligned citations and for Levels 1-5 of the prespecified citation-error taxonomy: non-existent citations, altered bibliographic details, irrelevant sources, evidence-claim misalignment, and contextual omission or overgeneralization. The outcome will be expressed as the proportion of citation-claim decisions with an appropriate final disposition within each condition.

Immediately after the intervention and 12 weeks after the intervention
Verification Initiation
時間枠:Immediately after the intervention and 12 weeks after the intervention

Verification initiation will be measured as the proportion of citation-claim decisions for which the participant initiates an external verification action, such as consulting a bibliographic database, search engine, publisher source, abstract, or full text. Higher proportions indicate more frequent initiation of verification.

Immediately after the intervention and 12 weeks after the intervention
High-Quality Citation Verification
時間枠:12 weeks after the intervention

High-quality verification will be defined as examining the source element necessary to resolve the specific citation problem. Merely locating an article will not be considered adequate for evidence-claim errors if the participant does not assess whether the evidence supports the claim. The outcome will be expressed as the proportion of citation-claim decisions meeting the prespecified high-quality verification criterion.

12 weeks after the intervention
Unnecessary Alteration or Rejection of Valid Citations
時間枠:12 weeks after the intervention

Participants will encounter valid citation-claim relationships within the transfer task. The number of valid citations that are unnecessarily altered, rejected, replaced, or deleted will be recorded. The score ranges from 0 to 2, with lower values indicating more appropriate retention of valid evidence.

12 weeks after the intervention
Confidence Calibration in Citation-Verification Judgments
時間枠:12 weeks after the intervention

Participants will rate confidence in each final citation-verification judgment from 0% to 100%. Calibration error will be calculated by comparing confidence with correctness of the corresponding judgment. Lower absolute calibration error indicates closer correspondence between confidence and actual performance.

12 weeks after the intervention
Retention of Structured Citation-Verification Performance
時間枠:Baseline, immediately after the intervention, and 12 weeks after the intervention

Retention will be assessed using the 24-item structured verification score at 12 weeks and compared with baseline and immediate post-intervention performance. Scores range from 0 to 24, with higher scores indicating better retained structured citation-verification performance.

Baseline, immediately after the intervention, and 12 weeks after the intervention

その他の成果指標

結果測定
メジャーの説明
時間枠
Qualitative Exploration of Citation-Verification Strategies and Transfer Processes
時間枠:After completion of the 12-week assessment

A purposively selected subgroup of participants will complete think-aloud verification of novel citation-claim pairs followed by stimulated-recall interviews. Data will explore what triggers verification, how participants decide what evidence is sufficient, why verification stops, how relevance is distinguished from evidentiary support, how confidence changes, and whether SARA has become an internalized strategy or remains an explicit checklist. Interview transcripts will be analyzed using reflexive thematic analysis.

After completion of the 12-week assessment

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

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 (推定)

2026年9月26日

一次修了 (推定)

2027年1月16日

研究の完了 (推定)

2027年2月1日

試験登録日

最初に提出

2026年9月21日

QC基準を満たした最初の提出物

2026年9月21日

最初の投稿 (実際)

2026年9月28日

学習記録の更新

投稿された最後の更新 (実際)

2026年9月28日

QC基準を満たした最後の更新が送信されました

2026年9月21日

最終確認日

2026年9月1日

詳しくは

本研究に関する用語

その他の研究ID番号

  • QAMC-SARA-2026-01

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?

はい

IPD プランの説明

De-identified individual participant quantitative data underlying the results reported in the primary publication will be made available. A data dictionary and relevant supporting documentation will also be provided. Qualitative interview transcripts will not be shared publicly because of the risk of participant re-identification.

IPD 共有時間枠

Beginning 6 months after publication of the primary study results and available for 5 years.

IPD 共有アクセス基準

Data will be available to qualified researchers who submit a methodologically sound proposal for legitimate academic research. Requests will be reviewed by the study investigators and, where required, the institution. Access will be subject to applicable ethics, institutional, and data-use requirements.

IPD 共有サポート情報タイプ

  • STUDY_PROTOCOL
  • SAP
  • ANALYTIC_CODE

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。