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Using WoundPilot to Support Wound Care Decisions in Patients With Chronic Wounds

2026년 4월 24일 업데이트: University Ghent

Evaluation of the Effect of WoundPilot on the Accuracy and Consistency of Clinical Decision-Making in Chronic Wound Care: A Randomized Parallel Vignette Study Among Primary Care Nurses

This study evaluates whether a digital decision support tool, called WoundPilot, can help primary care nurses make more accurate and consistent decisions when caring for patients with chronic wounds.

In daily practice, treatment decisions for chronic wounds can vary between clinicians, even when they assess the same patient. This variation may lead to delays in appropriate care, inconsistent treatment choices, or unnecessary referrals. WoundPilot was developed to guide clinicians through a structured wound assessment and link this assessment to clear treatment recommendations.

In this study, primary care nurses will assess a series of clinical cases either with or without the support of WoundPilot. Their decisions will be compared with an expert reference standard to determine whether the use of WoundPilot improves the accuracy of decisions and reduces differences between nurses.

The results of this study will help determine whether WoundPilot can support more consistent and evidence-based wound care in clinical practice.

연구 개요

상태

아직 모집하지 않음

정황

개입 / 치료

상세 설명

Background Clinical decision-making in chronic wound care shows considerable variability, even when clinicians are presented with similar patient information. This variability may result in delayed or inappropriate treatment, inconsistent use of therapies, or failure to escalate care when clinically indicated.

Structured clinical decision support systems (CDSS) aim to reduce unwarranted variation by guiding clinicians through predefined assessment steps and linking these to management pathways. WoundPilot is an evidence-informed CDSS developed to support structured wound assessment and treatment decision-making in primary care.

Objective The primary objective is to evaluate the effect of WoundPilot on the accuracy and consistency of clinical decision-making in chronic wound care among primary care nurses.

Secondary objectives are to:

  • Assess alignment of wound assessment decisions with an expert reference standard
  • Evaluate whether WoundPilot reduces variability between nurses
  • Assess whether nurses better recognize and translate clinical changes
  • Evaluate usability of WoundPilot using the Dutch System Usability Scale (D-SUS)

Study Design

This study is a randomized parallel vignette study conducted among primary care nurses. Participants are randomly assigned to:

  • Intervention group: assessment of clinical cases using WoundPilot
  • Control group: assessment based on usual clinical reasoning without decision support Each participant evaluates a set of standardized clinical cases representing patients with chronic wounds.

Methods Participants include primary care nurses involved in wound care decision-making in home care or nursing home settings.

In the intervention group, participants receive a short training on WoundPilot and use the tool to assess clinical cases. In the control group, participants assess the same type of cases using their usual reasoning and verbalize their decision-making process.

For each case, participants make decisions regarding wound assessment and treatment planning, including supportive therapy, antimicrobial use, debridement, dressing selection, and referral.

An expert reference standard is established by a panel of wound care experts. Participant decisions are compared to this reference.

Outcomes

The primary outcome is the correctness of treatment decisions compared with the expert reference standard. Secondary outcomes include:

  • Correctness of wound assessment decisions
  • Between-nurse variability in decisions
  • Recognition and interpretation of clinical change
  • Usability of WoundPilot (Dutch System Usability Scale) Agreement with the expert reference and between participants will be quantified using appropriate statistical methods, including kappa statistics and mixed-effects models.

Significance This study evaluates whether a structured clinical decision support system can improve the accuracy and consistency of clinical decision-making in chronic wound care. Findings may inform the role of digital decision support tools in supporting evidence-based practice in primary care.

연구 유형

중재적

등록 (추정된)

40

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

연구 연락처 백업

연구 장소

  • 벨기에
    • Oost-Vlaanderen
      • Ghent, Oost-Vlaanderen, 벨기에, 9000
        • Ghent University Hospital
        • 연락하다:
        • 연락하다:
        • 부수사관:
          • Steven Smet, Master
        • 수석 연구원:
          • Hilde Beele, PhD
        • 부수사관:
          • Dimitri Beeckman, PhD

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인
  • 고령자

건강한 자원 봉사자를 받아들입니다

예

설명

Inclusion Criteria:

  • Primary care nurses involved in wound care decision-making
  • Nurses working in home care or nursing home settings
  • Nurses who assess and/or adapt wound management in clinical practice
  • Nurses with a qualification corresponding to European Qualification Framework (EQF) level 5 or 6
  • Willing and able to provide informed consent

Exclusion Criteria:

  • Nurses not involved in wound care decision-making
  • Nurses not working in a primary care setting
  • Inability to understand the study procedures or complete the assessment tasks
  • Refusal or inability to provide informed consent

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 치료
  • 할당: 무작위
  • 중재 모델: 병렬 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: Reasoning with decision support

Participants in this arm assess standardized clinical cases of patients with chronic wounds using WoundPilot, a digital clinical decision support system (CDSS).

WoundPilot guides users through a structured, stepwise wound assessment, including evaluation of wound etiology, infection, wound evolution, wound bed characteristics, exudate, and wound edges. Based on the assessment, the system provides structured guidance to support treatment decision-making, including recommendations on supportive therapy, local wound management, and referral.

Participants receive a brief training on the use of WoundPilot prior to the assessment and then independently evaluate a set of clinical cases using the tool.
장치: WoundPilot

WoundPilot is a software-based clinical decision support system (CDSS) designed to support structured wound assessment and treatment decision-making in primary care.

The system guides users through a stepwise assessment process using predefined decision nodes, including evaluation of wound etiology, infection, wound evolution, wound bed characteristics, exudate, and wound edges. Based on the entered information, WoundPilot provides structured guidance to support treatment planning, including recommendations on supportive therapy, local wound management, and referral.

The system incorporates evidence-informed clinical pathways and aims to standardize wound assessment and reduce variability in clinical decision-making.
간섭 없음: Usual reasoning

Participants in this arm assess standardized clinical cases of patients with chronic wounds using their usual clinical reasoning, without the support of a clinical decision support system.

Participants independently evaluate each case and make decisions regarding wound assessment and treatment planning, including supportive therapy, local wound management, and referral. They are asked to verbalize their reasoning during the assessment process, which is recorded for subsequent analysis.

No additional training or decision support tool is provided.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Accuracy of Treatment Decisions Compared With an Expert Reference Standard
기간: During a single assessment session (approximately 2 hours)
Accuracy of treatment decisions will be assessed by comparing each participant's treatment decisions for standardized chronic wound cases with an expert reference standard. Treatment decisions include supportive therapy, antimicrobial therapy, wound cleansing, debridement, choice of wound product, management of wound edges or wound environment, protection of exposed bone or tendon when applicable, referral or contact with another healthcare professional or department, wound swab, and additional technical investigations. Accuracy will be analyzed at the level of individual treatment decision components and as a composite correctness score per case.
During a single assessment session (approximately 2 hours)

2차 결과 측정

결과 측정
측정값 설명
기간
Alignment of Wound Assessment Decisions With Expert Reference Standard
기간: During a single assessment session (approximately 2 hours)
Accuracy of wound assessment decisions will be evaluated by comparing participant assessments with an expert reference standard. This includes classification of wound type, assessment of infection (local, spreading, or systemic), evaluation of wound evolution, wound bed characteristics, presence of hypergranulation or exposed structures, amount of exudate, and assessment of wound edges and surrounding skin.
During a single assessment session (approximately 2 hours)
Between-Nurse Variability in Treatment Decisions
기간: During a single assessment session (approximately 2 hours)
Variability in treatment decisions between participants will be assessed within each study group. Agreement between participants will be quantified using statistical measures such as Fleiss' kappa to evaluate consistency of treatment decisions across standardized cases.
During a single assessment session (approximately 2 hours)
Between-Nurse Variability in Wound Assessment Decisions
기간: During a single assessment session (approximately 2 hours)
Variability in wound assessment decisions between participants will be evaluated within each study group. Agreement will be quantified using appropriate statistical methods (e.g., Fleiss' kappa) to assess consistency in the evaluation of decision-critical wound parameters.
During a single assessment session (approximately 2 hours)
Recognition and Interpretation of Clinical Change
기간: During a single assessment session (approximately 2 hours)
Participants' ability to recognize and correctly interpret clinical changes over time will be assessed by comparing decisions between initial and follow-up case scenarios. Correct identification of wound evolution and appropriate adaptation of treatment decisions will be evaluated against the expert reference standard.
During a single assessment session (approximately 2 hours)
Usability of WoundPilot (Dutch System Usability Scale)
기간: During a single assessment session (approximately 2 hours)
Usability of WoundPilot will be assessed using the Dutch System Usability Scale (D-SUS), a validated 10-item questionnaire scored on a 5-point Likert scale. The D-SUS provides a total score ranging from 0 to 100, with higher scores indicating better usability.
During a single assessment session (approximately 2 hours)

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

University Ghent

수사관

  • 연구 의자: Steven Smet, Master, University Hospital, Ghent
  • 수석 연구원: Hilde Beele, PhD, University Hospital, Ghent
  • 연구 의자: Dimitri Beeckman, PhD, University Ghent

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

일반 간행물

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 6월 1일

기본 완료 (추정된)

2026년 9월 1일

연구 완료 (추정된)

2026년 9월 1일

연구 등록 날짜

최초 제출

2026년 4월 16일

QC 기준을 충족하는 최초 제출

2026년 4월 24일

처음 게시됨 (실제)

2026년 5월 1일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 5월 1일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 4월 24일

마지막으로 확인됨

2026년 4월 1일

추가 정보

이 연구와 관련된 용어

키워드

추가 관련 MeSH 약관

기타 연구 ID 번호

  • ONZ-2026-0172
  • WoundPilot (기타 식별자: Ghent University Hospital)

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

아니요

IPD 계획 설명

Individual participant data (IPD) will not be shared due to the small sample size and the risk of potential re-identification of participants, as well as the inclusion of qualitative data (e.g., verbalized reasoning) that may contain indirectly identifiable information.

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

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. .

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