Journals / Etkili Hemşirelik Dergisi / 2026 / Cilt: 19 Sayı: 3

Development of HARIZMI II Pediatric Fall Risk Assessment Scale and Evaluation of Its Validity and Reliability

HARİZMİ II Pediatrik Düşme Riski Değerlendirme Ölçeği’nin Geliştirilmesi ve Geçerlik ve Güvenirliğinin Değerlendirilmesi

Veysel Barış(DOKUZ EYLÜL ÜNİVERSİTESİ)
İsa Çelik(RECEP TAYYIP ERDOGAN UNIVERSITY)0000-0003-3381-2286
Şeyda Seren İntepeler(DOKUZ EYLUL UNIVERSITY)
Murat Bektaş(DOKUZ EYLUL UNIVERSITY)0000-0003-3327-8204
Şerife Engeloğlu(Ministry of Health)
Pages
397–409
Publication Date
2026-07-15
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: The HARIZMI II Fall Risk Assessment Tool is valid and reliable in identifying children at high risk for falls.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Background: Pediatric patients face a high fall risk due to developmental and additional contributing factors, which current assessment tools often fail to accurately identify.
📊
Key Findings & Data:Objectives: To develop a pediatric fall risk assessment tool and evaluate its validity, reliability, and discriminative performance.
💡
Conclusion & Impact:Conclusion: The HARIZMI II Fall Risk Assessment Tool is valid and reliable in identifying children at high risk for falls.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Pediatrik Hasta Güvenliği · Düşme Riski · Risk Değerlendirme

Abstract

Background: Pediatric patients face a high fall risk due to developmental and additional contributing factors, which current assessment tools often fail to accurately identify. Objectives: To develop a pediatric fall risk assessment tool and evaluate its validity, reliability, and discriminative performance. Methods: This methodological, cross-sectional study was conducted in 10 hospitals across seven Turkish cities, targeting pediatric patients under 18. Literature findings and expert opinions were utilized in the development of the risk assessment tool. The risk factors in the tool were classified using the International Classification of Functioning, Disability and Health Model developed by the World Health Organization. The content validity of the scale was assessed using the Content validity was measured via the Content Validity Index; inter-rater reliability (Cohen’s Kappa = 0.87) and internal consistency (KR-20 = 0.651) were also established. Discriminative ability was evaluated using ROC analysis. The risk assessment tool was named HARIZMI II Fall Risk Assessment Tool. Results: A total of 1056 pediatric patients were evaluated with the developed tool and 54 of these experienced a fall. The content validity index of the scale was 0.921, the inter-rater reliability value (Kappa) was 0.87, the internal consistency coefficient (Kuder-Richardson 20) was 0.651, the Area Under the ROC Curve Value developed as a result of ROC analysis was 0.758, the sensitivity was 0.722, and the specificity was 0.669. Conclusion: The HARIZMI II Fall Risk Assessment Tool is valid and reliable in identifying children at high risk for falls.

Özet

Giriş: Pediatrik hastalar gelişim özellikleri nedeniyle yüksek düşme riski taşır. Ancak bazı ek faktörler de bu riski artırabilir. Mevcut risk değerlendirme araçları ise bu faktörleri belirlemede yetersiz kalmaktadır. Amaç: Bu araştırma ile pediatrik hastalarda düşme riski değerlendirme aracının geliştirilmesi ve bu aracın geçerlik, güvenirlik ile ayırt edicilik özelliklerini incelenmesi amaçlanmıştır. Yöntem: Araştırma metodolojik ve kesitsel tasarımda olup, Türkiye genelindeki yedi şehirde 10 farklı hastanede yürütülmüştür. Araştırmanın hedef popülasyonu 18 yaş altı pediatrik hastalardır. Risk değerlendirme aracının geliştirilmesinde literatür bulguları ve uzman görüşlerinden faydalanılmıştır. Geliştirilen risk değerlendirme aracında yer alan risk faktörleri Dünya Sağlık Örgütü tarafından geliştirilen İşlevsellik, Yetiyitimi ve Sağlığın Uluslararası Sınıflandırılması Modeli kullanılarak sınıflandırılmıştır. Ölçeğin içerik geçerliği İçerik Geçerlik İndeksi, değerlendiriciler arası güvenirliği Cohen Kappa istatistiği ile (0.87), iç tutarlılığı ise Kuder-Richardson 20 (KR-20 = 0.651) ile değerlendirilmiştir. Ölçeğin ayırt ediciliği ROC analizi ile incelenmiştir. Risk değerlendirme aracı HARİZMİ II Düşme Riski Değerlendirme Aracı olarak isimlendirilmiştir. Bulgular: Araştırma toplam 1056 pediatrik hasta geliştirilen risk değerlendirme aracı ile değerlendirilmiş, bu hastalardan 54’ü düşme deneyimi yaşamıştır. Ölçeğin içerik geçerlik indeksi 0.921, değerlendiriciler arası güvenirlik değeri (Kappa) 0.87, iç tutarlılık katsayısı (Kuder-Richardson 20) 0.651, ROC analizi sonucunda geliştirilen ROC Eğrisi Altında Kalan Alan Değeri 0.758 olarak hesaplanmış, duyarlılığı 0.722, özgüllüğü ise 0.669 olarak belirlenmiştir. Sonuç: HARİZMİ II Düşme riski değerlendirme aracı, düşme riski yüksek çocukları ayırt etmede geçerli ve güvenilirdir.

🔖

Cite This Article

Barış, V., Çelik, İ., İntepeler, Ş. S., Bektaş, M., Kavak, D. G., Engeloğlu, Ş. (2026). Development of HARIZMI II Pediatric Fall Risk Assessment Scale and Evaluation of Its Validity and Reliability. Etkili Hemşirelik Dergisi, Cilt: 19 Sayı: 3, 397–409. https://doi.org/10.46483/jnef.1650810

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (29)

  1. Altın, K., Manav, G., & Karayağız, G. (2020). Hastanede yatan 3-18 yaş arası çocukların düşme riskinin belirlenmesi. Genel Sağlık Bilimleri Dergisi, 2(3), 136-145.
  2. AlSowailmi, B. A., AlAkeely, M. H., AlJutaily, H. I., Alhasoon, M. A., Omair, A., & AlKhalaf, H. A. (2018). Prevalence of fall injuries and risk factors for fall among hospitalized children in a specialized children’s hospital in Saudi Arabia. Annals of Saudi Medicine, 38(3), 225-229.
  3. Baris, V. K., & Seren Intepeler, S. (2019). Views of key stakeholders on the causes of patient falls and prevention interventions: A qualitative study using the international classification of functioning, disability and health. Journal of Clinical Nursing, 28(3-4), 615-628.
  4. Belur, J., Tompson, L., Thornton, A., & Simon, M. (2021). Interrater reliability in systematic review methodology: exploring variation in coder decision-making. Sociological Methods & Research, 50(2), 837-865.
  5. Bujang, M. A., & Adnan, T. H. (2016). Requirements for minimum sample size for sensitivity and specificity analysis. Journal of Clinical and Diagnostic Research, 10(10), 1–6.
  6. Chang, C. M., Wen, C. F., & Lin, H. F. (2021). Reliability and validity of a pediatric fall risk assessment scale for hospitalized patients in Taiwan. Quality Management in Healthcare, 30(2), 121-126.
  7. Chaudhary, S., Figueroa, J., Shaikh, S., Mays, E. W., Bayakly, R., Javed, M.,. & Nieb, S. (2018). Pediatric falls ages 0–4: understanding demographics, mechanisms, and injury severities. Injury epidemiology, 5(Suppl 1), 7.
  8. Camurcu, K., Manav, G., & Muslu Karayagız, G. (2020). Determination of the risk of falling in children between 3–18 years in hospital. Necmettin Erbakan Üniversitesi Genel Sağlık Bilimleri Dergisi, 2(3), 136–145.
  9. Cetintas, N., & Gurkan, A. (2019). Compatiosn of Humpty Dumpty and BUCH scales for assessment of fall risk among pediatric patients. İzmir Dr Behçet Uz Çocuk Hastanesi Dergisi, 9(3), 204-210.
  10. De Clercq, H., Naudé, A., & Bornman, J. (2021). Older adults’ perspectives on fall risk: Linking results to the ICF. Journal of Applied Gerontology, 40(3), 328-338.
  11. Deeks, J. J., Bossuyt, P. M., Leeflang, M. M., & Takwoingi, Y. (Eds.). (2023). Cochrane handbook for systematic reviews of diagnostic test accuracy. John Wiley & Sons.
  12. Demir, D., Yontem, S. C., Sarı, H. Y., & Bektas, M. (2013). Development of diagnostic falling risk scale for child patients. Hemşirelikte Eğitim ve Araştırma Dergisi, 10(3), 34-41.
  13. Kim, E. J., Lim, J. Y., Kim, G. M., & Lee, M. K. (2019). Meta-analysis of the diagnostic test accuracy of pediatric inpatient fall risk assessment scales. Child Health Nursing Research, 25(1), 56.
  14. McNeely, H. L., Thomason, K. K., & Tong, S. (2018). Pediatric fall risk assessment tool comparison and validation study. Journal of Pediatric Nursing, 41, 96-103.
  15. Morrissey, L. K., Ho, P., Ilowite, M., Johnson, D. A., Nixon, C. M., Thomas, M. K.,. & Renaud, A. M. (2024). Reducing falls in hospitalized children and adolescents with cancer and blood disorders: a quality improvement journey. Pediatric Quality & Safety, 9(5), e755.
  16. Nahm, F. S. (2022). Receiver operating characteristic curve: overview and practical use for clinicians. Korean Journal of Anesthesiology, 75(1), 25-36.
  17. National Quality Forum. (2011). Serious reportable events in healthcare—2011 update: A consensus report. National Quality Forum. https://www.doh.wa.gov/Portals/1/Documents/2900/NQF2011Update.pdf Update.pdf Son erişim tarihi: 16-02-2025
  18. Parker, C., Kellaway, J., & Stockton, K. (2020). Analysis of falls within paediatric hospital and community healthcare settings. Journal of pediatric nursing, 50, 31-36.
  19. Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497.
  20. Sağlık Bakanlığı. (2020). SKS Hastane (Sürüm 6.1) (1. baskı). Sağlık Bakanlığı Yayınları. ISBN: 978-975-590-766-6
  21. Sarik, D. A., Hill-Rodriguez, D., Gattamorta, K. A., Gonzalez, J. L., Esteves, J., Zamora, K., & Cordo, J. (2022). The revised Humpty Dumpty Fall Scale: An update to improve tool performance and predictive validity. Journal of Pediatric Nursing, 67, 34-37.
  22. Seren Intepeler, S., Bektas, M., Baris, V. K., & Celik, I. (2020) Evaluation of psychometric properties of HARIZMI Fall Risk Scale, DEUHFED, 13(4), 259-266.
  23. Sheppard‐Law, S., Brogan, F., Usherwood, F., Hunstead, P., & Shala, D. R. (2022). Predictors of parent’s knowledge of hospital‐based pediatric falls. Journal for Specialists in Pediatric Nursing, 27(2), e12368.
  24. Soh, S. E., Barker, A. L., Morello, R. T., & Ackerman, I. N. (2020). Applying the International Classification of Functioning, Disability and Health framework to determine the predictors of falls and fractures in people with osteoarthritis or at high risk of developing osteoarthritis: Data from the Osteoarthritis Initiative. BMC Musculoskeletal Disorders, 21, 1–8.
  25. Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2013). Using multivariate statistics (6th ed., pp. 497–516). Pearson.
  26. Wang, L., Qian, M. L., Shan, X., & Liu, X. Q. (2022). Risk factors for falls among children aged 0–18 years: a systematic review. World Journal of Pediatrics, 18(10), 647-653.
  27. World Health Organization. (2013). A practical manual for using the International Classification of Functioning, Disability and Health (ICF): Exposure draft for comment. https://cdn.who.int/media/docs/default-source/classification/icf/drafticfpracticalmanual2.pdf Yontem, S., Gok, D., Yildirim Sari, H., & Gunturkun, F. (2017). BUÇH II fall risk scale in pediatric patients: Comparison with Harizmi and BUÇH scales. İzmir Dr. Behçet Uz Çocuk Hastanesi Dergisi, 7(2), 105–112.
  28. Chaudhary, S., Figueroa, J., Shaikh, S., Mays, E. W., Bayakly, R., Javed, M.,. & Nieb, S. (2018). Pediatric falls ages 0–4: understanding demographics, mechanisms, and injury severities. Injury epidemiology, 5(Suppl 1), 7.
  29. Morrissey, L. K., Ho, P., Ilowite, M., Johnson, D. A., Nixon, C. M., Thomas, M. K.,. & Renaud, A. M. (2024). Reducing falls in hospitalized children and adolescents with cancer and blood disorders: a quality improvement journey. Pediatric Quality & Safety, 9(5), e755.