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Alaa Dayekh

Biographic Data

ID6777746
NAMEAlaa Dayekh
GIVEN NAMESAlaa
FAMILY NAMEDayekh
SIGNATUREDAYEKH A
AFFILIATIONSDoctoral School of Health Sciences, Faculty of Health Sciences University of Pécs Pécs Hungary
ORCID0000-0002-1522-2592
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Reliability and Validity of the Arabic Translation of the Public and Patient Engagement Evaluation Tool

    Open Access•Alaa Dayekh, A Pakai•ARTICLE•International Journal of…•2026

    Background: Without reliable evaluation tools, ensuring engagement quality, evaluating engagement results, adopting organizational learning, and proving commitment to public funds is difficult. The PPEET was designed to assess and improve excellence in patient and public engagement (PPE) initiatives across various health system organizations. Since language significantly affects the psychometric properties of research instruments, validated versi…

  • Partners in Co-Diagnosis

    Open Access•Alaa Dayekh, Ali Baalbaki et al.•ARTICLE•International Journal of…•2026

    Introduction: Researchers have found that shared decision-making with patients goes beyond clinical practice. Patient involvement in healthcare is evolving from being a consultant on an individual level to a partner in decision-making at the policy and governance levels. Most partnership methodologies focus on co-designing care that fits patients' needs and expectations rather than focusing on the initial step of the quality improvement cycle, wh…

  • Reliability and Validity of the Arabic Translation of the Public and Patient Engagement Evaluation Tool

    Open Access•Alaa Dayekh, Zahraa Raychouni et al.•ARTICLE•Health Expectations•2025

    INTRODUCTION: Without reliable evaluation tools, ensuring the quality of patient engagement is difficult. The Public and Patient Engagement Evaluation Tool (PPEET) was designed to assess and improve excellence in patient and public engagement (PPE) initiatives across various health system organisations. Since language significantly affects the psychometric properties of research instruments, validated versions of these instruments are crucial. ME…

  • Understanding the influence of co-design on distress, clinical decision making and disease self-management of cancer patients-as-partners

    Open Access•Alaa Dayekh, Zahraa Raichouny et al.•ARTICLE•International Journal of…•2025

    Cancer is regarded as a major worldwide burden. Patients diagnosed with cancer are at risk of multi-system complications despite the availability of cancer treatment options. Cancer patient distress has been linked to disease progression. Studies show that patient engagement strategies affect clinical decision making process and disease self-management; therefore, alleviate patient’s clinical outcomes. The optimal engagement method is the patient…

  • Rationalizing the Influence of Co‐Design on Distress, Clinical Decision‐Making and Disease Self‐Management of Cancer Patients‐as‐Partners

    Open Access•Zahraa Alrayshouni, Alaa Dayekh et al.•ARTICLE•Health Expectations•2024

    Introduction Cancer is regarded as a major worldwide burden. Patient distress has been linked to disease progression. Studies show that engagement strategies affect clinical decision‐making and patient outcomes. The optimal engagement method is a partnership that integrates the patient's expertise into the comprehensive co‐design of the healthcare system. Objectives This is the first study to investigate cancer patient‐as‐partner experience and i…

  • Patient partnership an integrated health system

    Open Access•Alaa Dayekh, M Nasreddine et al.•ARTICLE•International Journal of…•2023

    The patient as partner approach is a modern model of patient engagement that integrates the patients’ knowledge and skills into managing their own health. This study aims to evaluate the benefits and barriers of patient partnership in a healthcare setting. It is a qualitative and interventional study that implemented a patient and family partnership committee (PFPC) at a Lebanese hospital during the COVID-19 pandemic. A purposeful guided approach…

No prominent works on this page.

  • Patient partnership an integrated health system

    Open Access•Alaa Dayekh, M Nasreddine et al.•ARTICLE•International Journal of…•2023

    The patient as partner approach is a modern model of patient engagement that integrates the patients’ knowledge and skills into managing their own health. This study aims to evaluate the benefits and barriers of patient partnership in a healthcare setting. It is a qualitative and interventional study that implemented a patient and family partnership committee (PFPC) at a Lebanese hospital during the COVID-19 pandemic. A purposeful guided approach…

  • Rationalizing the Influence of Co‐Design on Distress, Clinical Decision‐Making and Disease Self‐Management of Cancer Patients‐as‐Partners

    Open Access•Zahraa Alrayshouni, Alaa Dayekh et al.•ARTICLE•Health Expectations•2024

    Introduction Cancer is regarded as a major worldwide burden. Patient distress has been linked to disease progression. Studies show that engagement strategies affect clinical decision‐making and patient outcomes. The optimal engagement method is a partnership that integrates the patient's expertise into the comprehensive co‐design of the healthcare system. Objectives This is the first study to investigate cancer patient‐as‐partner experience and i…

  • Reliability and Validity of the Arabic Translation of the Public and Patient Engagement Evaluation Tool

    Open Access•Alaa Dayekh, Zahraa Raychouni et al.•ARTICLE•Health Expectations•2025

    INTRODUCTION: Without reliable evaluation tools, ensuring the quality of patient engagement is difficult. The Public and Patient Engagement Evaluation Tool (PPEET) was designed to assess and improve excellence in patient and public engagement (PPE) initiatives across various health system organisations. Since language significantly affects the psychometric properties of research instruments, validated versions of these instruments are crucial. ME…

  • Understanding the influence of co-design on distress, clinical decision making and disease self-management of cancer patients-as-partners

    Open Access•Alaa Dayekh, Zahraa Raichouny et al.•ARTICLE•International Journal of…•2025

    Cancer is regarded as a major worldwide burden. Patients diagnosed with cancer are at risk of multi-system complications despite the availability of cancer treatment options. Cancer patient distress has been linked to disease progression. Studies show that patient engagement strategies affect clinical decision making process and disease self-management; therefore, alleviate patient’s clinical outcomes. The optimal engagement method is the patient…

  • Reliability and Validity of the Arabic Translation of the Public and Patient Engagement Evaluation Tool

    Open Access•Alaa Dayekh, A Pakai•ARTICLE•International Journal of…•2026

    Background: Without reliable evaluation tools, ensuring engagement quality, evaluating engagement results, adopting organizational learning, and proving commitment to public funds is difficult. The PPEET was designed to assess and improve excellence in patient and public engagement (PPE) initiatives across various health system organizations. Since language significantly affects the psychometric properties of research instruments, validated versi…

  • Partners in Co-Diagnosis

    Open Access•Alaa Dayekh, Ali Baalbaki et al.•ARTICLE•International Journal of…•2026

    Introduction: Researchers have found that shared decision-making with patients goes beyond clinical practice. Patient involvement in healthcare is evolving from being a consultant on an individual level to a partner in decision-making at the policy and governance levels. Most partnership methodologies focus on co-designing care that fits patients' needs and expectations rather than focusing on the initial step of the quality improvement cycle, wh…

Mental Health and Patient Involvement (6 works) · Patient-Provider Communication in Healthcare (4 works) · Health care (3 works) · Medicine (3 works) · Arabic (2 works) · Cancer (2 works) · Clinical Psychology (2 works) · Computer Science (2 works) · Disease (2 works) · Disease management (2 works)

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