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Jigsaw, metaverse ve klasik öğrenme yöntemlerinin hemşirelik öğrencilerinin çocuklarda ilaç uygulama öz-yeterliklerine etkisinin incelenmesi: karma yöntem araştırması

Year 2025, Volume: 8 Issue: 6, 1065 - 1075, 25.10.2025
https://doi.org/10.32322/jhsm.1764718

Abstract

Amaç: Bu çalışma, jigsaw, metaverse ve klasik öğrenme yöntemlerinin hemşirelik öğrencilerinin çocuklarda ilaç uygulama özyeterlik düzeyleri üzerindeki etkilerini incelemek ve öğrencilerin bu öğrenme yöntemlerine ilişkin görüşlerini ortaya koymak amacıyla gerçekleştirilmiştir.
Yöntem: Karma yöntem tasarımında olan araştırmamız Türkiye’de Hemşirelik eğitimi veren bir üniversitede 150 öğrenciyle gerçekleştirilmiştir. Veriler “Tanıtıcı Bilgi Formu”, “Hemşirelik Öğrencileri İçin Çocuklarda İlaç Uygulamaları Öz-Yeterlilik Ölçeği” ve “Yarı Yapılandırılmış Görüşme Formu” kullanılarak toplanmıştır. Araştırma iki aşamada gerçekleştirilmiştir. İlk aşamada, öğrencilerin çocuklarda ilaç uygulama özyeterlik düzeyleri, ön test-son test uygulamalı randomize kontrollü araştırma tasarımıyla belirlenmiştir. İkinci aşamada ise her öğrenme yönteminden (jigsaw, metaverse, klasik) 10 gönüllü öğrenci ile yüz yüze nitel görüşmeler yapılarak ilgili yöntemin olumlu ve olumsuz yönleri değerlendirilmiştir.
Bulgular: Araştırmaya katılan öğrencilerin çoğunluğu kadın (%75,3) olup, yaş ortalaması 21,98±2,23 yıldır. Jigsaw, metaverse ve klasik öğrenme yöntemlerinin uygulandığı gruplar arasında son test Hemşirelik Öğrencileri İçin Çocuklarda İlaç Uygulamaları Öz-Yeterlilik Ölçeği puanlarında anlamlı farklılık belirlenmiştir (sırasıyla 71,51±4,99; 67,74±6,29; 68,66±7,70). Olumlu yönler; jigsaw için etkileşimli ders işleme ve eğitmen kaynaklı stresin azalması, metaverse için zaman tasarrufu ve esneklik, klasik öğrenme için ise eğitmenle doğrudan etkileşim olarak tanımlanmıştır. Olumsuz yönler ise metaverse için teknik sorunlar ve dikkat dağınıklığı; klasik öğrenme için ise tekdüzelik, tek yönlü iletişim ve dikkat süresinin azalması olarak bildirilmiştir.
Sonuç: Araştırmamız, jigsaw, metaverse ve klasik öğrenme yöntemlerinin çocuklarda ilaç uygulama özyeterlik düzeylerini artırmada etkili olduğunu ortaya koymaktadır. Jigsaw öğrenme, çocuklarda ilaç uygulama özyeterlik düzeyi açısından en yüksek puanı elde ederek diğer yöntemlere kıyasla daha etkili bir öğrenme ortamı sunduğunu göstermektedir.

References

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  • Izadpanah F, Nikfar S, Bakhshi Imcheh F, Amini M, Zargaran M. Assessment of frequency and causes of medication errors in pediatrics and emergency wards of teaching hospitals affiliated to Tehran University of Medical Sciences (24 hospitals). J Med Life. 2018;11(4):299-305. doi:10.25122/jml-2018-0046
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  • Ziyai NY, Bozkurt R, Kilickiran H, Dogu O. The effect of flipped-jigsaw learning models on ethical decision-making. Nurs Ethics. 2024;31(2-3):132-147. doi:10.1177/09697330231187139
  • Çetinkaya Uslusoy E, Aydinli A, Durna F. Enhancing learning motivation and academic achievement in nursing students through metaverse-based learning: a randomized controlled study. Jpn J Nurs Sci. 2024;21(3):e12594. doi:10.1111/jjns.12594
  • Balkaya NA, Bilge C, Dönmez S. The effect of cooperative learning and interactive education methods on the motivation and self-confidence of nursing students. J Women’s Health Environ Nutr. 2022;8(1):14-24.
  • Ongor M, Uslusoy EC. The effect of multimedia-based education in e-learning on nursing students’ academic success and motivation: a randomised controlled study. Nurse Educ Pract. 2023;71:103686. doi:10.1016/j.nepr.2023.103686
  • Goolsarran N, Hamo CE, Lu WH. Using the jigsaw technique to teach patient safety. Med Educ Online. 2020;25(1):1710325. doi:10.1080/10872981.2019.1710325
  • Jeon JH. A study on education utilizing metaverse for effective communication in a convergence subject. Int J Internet Broadcast Commun. 2021;13(4):129-134.
  • Moon H, Freidouny M, Rajabi MS, Bozorgmehrian S, Sangwan A, Jeon M. The influence of olfactory and visual stimuli on students’ performance and mood in virtual reality environment. Proc Hum Factors Ergon Soc Annu Meet. 2023;67(1):2441-2446.
  • De Gagne JC, Randall PS, Rushton S, et al. The use of metaverse in nursing education: an umbrella review. Nurse Educ. 2023;48(3):E73-E78. doi:10.1097/NNE.0000000000001327
  • Bryant R, Vogt M, Miller C. Effects of an avatar-based simulation on family nurse practitioner students’ self-evaluated suicide prevention knowledge and confidence. Nurs Educ Perspect. 2024. doi:10.1097/01.NEP.0000000000001321
  • Lee H, Yi Y, Moon W, Yeo JY. Exploring the potential use of the metaverse in nurse education through a mock trial. Nurse Educ Today. 2023;131:105974. doi:10.1016/j.nedt.2023.105974
  • Plotzky C, Lindwedel U, Sorber M, et al. Virtual reality simulations in nurse education: a systematic mapping review. Nurse Educ Today. 2021;101:104868. doi:10.1016/j.nedt.2021.104868
  • Cho IY, Yun JY, Moon SH. Development and effectiveness of a metaverse reality-based family-centered handoff education program in nursing students. J Pediatr Nurs. 2024;76:176-191. doi:10.1016/j.pedn.2024.02.005
  • Kim DY, Lee HK, Chung K. Avatar-mediated experience in the metaverse: the impact of avatar realism on user-avatar relationship. J Retail Consum Serv. 2023;73:103382.
  • Cameron R. Lessons from the field: Applying the good reporting of a mixed methods study (GRAMMS) framework. Electron J Bus Res Methods. 2013;11(2):55-66.
  • Cuschieri S. The CONSORT statement. Saudi J Anaesth. 2019;13(Suppl 1):S27-S30.
  • Du KJ, Li GS, Zhang K, Lin Y, Yang F, Hannes K. Prof. Karin Hannes: COREQ (Consolidated Criteria for Reporting Qualitative Studies). Ann Transl Med. 2022;10(19):1073. doi:10.21037/atm-2022-23
  • Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field Methods. 2006;18(1):59-82. doi:10.1177/1525822X05279903
  • Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77-101. doi:10.1191/1478088706qp063oa
  • Bektaş İ, Yardımcı F, Bektaş M. Development of medication administration self-efficacy scale in children for nursing students and psychometric properties. DEUHFED. 2021;14(4):320-327.
  • Spatial.io. Creating collaborative learning environments in the metaverse. Spatial.io Reports. Accessed March 1, 2023. https://www.spatial.io/
  • Sezer H, Gül A. Health sciences students’ perspectives on metaverse and digital technology use: cross-sectional descriptive study. BMC Nurs. 2024;23:656. doi:10.1186/s12912-024-02309-w
  • Sendra-Portero F, Lorenzo-Álvarez R, Rudolphi-Solero T, Ruiz-Gómez MJ. The Second Life metaverse and its usefulness in medical education after a quarter of a century. J Med Internet Res. 2024;26:e59005. doi:10.2196/59005
  • Ghaempanah F, Alizadeh M, Hosseini R, et al. Metaverse and its impact on medical education and health care system: a narrative review. Health Sci Rep. 2024;7:e70100. doi:10.1002/hsr2.70100
  • Unity Technologies. VR and AR applications in education. Unity Whitepaper. Accessed March 1, 2023. https://unity.com/
  • Ben Yahya L, Naciri A, Radid M, Chemsi G. Immersive simulation in nursing and midwifery education: a systematic review. J Educ Eval Health Prof. 2024;21:19. doi:10.3352/jeehp.2024.21.19
  • Park S, Shin HJ, Kwak H, Lee HJ. Effects of immersive technology–based education for undergraduate nursing students: Systematic review and meta-analysis (GRADE). J Med Internet Res. 2024;26:e57566. doi:10.2196/57566
  • Amazon Web Services (AWS). Cloud computing for education: Scaling digital classrooms. AWS Educational Resources. Accessed March 1, 2023. https://aws.amazon.com/education/
  • Wondmieneh A, Alemu W, Tadele N, Demis A. Medication administration errors and contributing factors among nurses: a cross-sectional study in tertiary hospitals, Addis Ababa, Ethiopia. BMC Nurs. 2020;19:4. doi:10.1186/s12912-020-0397-0
  • Sachdeva S, Bhatia S, Al Harrasi A, et al. Unraveling the role of cloud computing in health care system and biomedical sciences. Heliyon. 2024;10(7):e29044. doi:10.1016/j.heliyon.2024.e29044
  • Hockenberry MJ, Bryant R, Hellsten MB. Wong’s Clinical Manual of Pediatric Nursing. 9th ed. St. Louis, MO: Elsevier Health Sciences; 2023.
  • Yang BH, Chung CY, Li YS, Lu CF. A cooperative learning intervention for improving a simulation-based paediatric nursing course: a quasi-experimental study. Nurse Educ Pract. 2024;80:104149. doi:10.1016/j.nepr.2024.104149
  • Fields L, Trostian B, Moroney T, Dean BA. Active learning pedagogy transformation: a whole-of-school approach to person-centred teaching and nursing graduates. Nurse Educ Pract. 2021;53:103051. doi:10.1016/j.nepr.2021.103051
  • Gassas R. Sources of the knowledge-practice gap in nursing: lessons from an integrative review. Nurse Educ Today. 2021;106:105095. doi:10.1016/j.nedt.2021.105095
  • Lin C, Han C, Huang Y, Chen L, Su CC. Effectiveness of the use of concept maps and simulated cases as a teaching-learning strategy in enhancing the learning confidence of baccalaureate nursing students: a qualitative approach. Nurse Educ Today. 2022;115:105418. doi:10.1016/j.nedt.2022.105418
  • Ryu H, Lee H, Yoo HJ. Development of a metaverse online learning system for undergraduate nursing students: a pilot study. Nurse Educ. 2024;49(2):E74-E79. doi:10.1097/NNE.0000000000001509
  • Jeppu AK, Kumar KA, Sethi A. We work together as a group: implications of jigsaw cooperative learning. BMC Med Educ. 2023;23(1):734. doi:10.1186/s12909-023-04734-y
  • Al-Sayaghi KM, Atrous MH, Alkaluby EA, et al. Relationship between self-esteem and stress coping strategies among internship nursing students. Open Access Maced J Med Sci. 2023;11(G):26-32.
  • Mutlu B, Azak M, Kalaycı S. Investigation of the relationship between clinical comfort-worry and self-efficacy perceptions of nursing students who have taken pediatric nursing course. OPUS Int J Soc Res. 2020;15(26):4293-4315.
  • Lassche M, Al-Qaaydeh S, Macintosh CI, Black M. Identifying changes in comfort and worry among pediatric nursing students following clinical rotations. J Pediatr Nurs. 2013;28(1):48-54. doi:10.1016/j.pedn.2011.12.008
  • Kubin L, Wilson CE. Effects of community volunteer children on student pediatric assessment behaviors. Clin Simul Nurs. 2017;13(7):303-308.
  • Abdel-Mordy MA, Sabry SS, Abdelrazek A. Effect of cooperative jigsaw learning strategy on community nursing students’ attitude and achievement. Int Egypt J Nurs Sci Res. 2022;2(2):487-500.

Examining jigsaw, metaverse, and classic learning methods' impact on nursing students' self-efficacy in pediatric drug administration: a mixed-methods study

Year 2025, Volume: 8 Issue: 6, 1065 - 1075, 25.10.2025
https://doi.org/10.32322/jhsm.1764718

Abstract

Aims: This study aimed to examine the effects of jigsaw, metaverse, and classic learning methods on nursing students’ self-efficacy levels in pediatric drug administration and to explore students’ perspectives on these learning methods.
Methods: A mixed method study was conducted with 150 students in Turkiye. The data were collected “Introductory Information Form”, “Medication Administration Self-Efficacy Scale in Children for Nursing Students” and “Semi-Structured Interview Form”. Our research was performed in two phases. In the first stage, the self-efficacy levels of the students in drug administration in children were determined using a randomized controlled research design with pre-test and post-test administration. In the second stage, face-to-face qualitative interviews were conducted with 10 volunteer students from each learning method (jigsaw, metaverse, classic) about the positive and negative aspects of the learning method.
Results: The majority of the students participating in the study were female (75.3%), with a mean age of 21.98±2.23 years. A significant difference was determined in the post-test MASES-C scores between the groups in which the jigsaw, metaverse, and classic learning methods were applied (71.51±4.99; 67.74±6.29; 68.66±7.70, respectively). The positive aspects of the learning methods included interactive course delivery and reduced instructor-induced stress (jigsaw), time-saving and flexibility (metaverse), and direct interaction with the instructor (classic learning). The negative aspects were technical issues and distractions (metaverse) and monotony and one-way communication leading to reduced attention span (classic learning).
Conclusion: Our research reveals that jigsaw, metaverse, and classic learning methods can enhance nursing students’ self-efficacy in pediatric drug administration. Among these, jigsaw learning provided the most effective learning environment, yielding the highest self-efficacy scores.

References

  • Howlett MM, Cleary BJ, Breatnach CV. Defining electronic-prescribing and infusion-related medication errors in paediatric intensive care: a Delphi study. BMC Med Inform Decis Mak. 2018;18(1):130. doi:10.1186/s12911-018-0713-8
  • Alghamdi AA, Keers RN, Sutherland A, Ashcroft DM. Prevalence and nature of medication errors and preventable adverse drug events in paediatric and neonatal intensive care settings: a systematic review. Drug Saf. 2019;42(12):1423-1436. doi:10.1007/s40264-019-00856-9
  • Izadpanah F, Nikfar S, Bakhshi Imcheh F, Amini M, Zargaran M. Assessment of frequency and causes of medication errors in pediatrics and emergency wards of teaching hospitals affiliated to Tehran University of Medical Sciences (24 hospitals). J Med Life. 2018;11(4):299-305. doi:10.25122/jml-2018-0046
  • D’Errico S, Zanon M, Radaelli D, et al. Medication errors in pediatrics: Proposals to improve the quality and safety of care through clinical risk management. Front Med (Lausanne). 2022;8:814100. doi:10.3389/fmed.2021.814100
  • Ziyai NY, Bozkurt R, Kilickiran H, Dogu O. The effect of flipped-jigsaw learning models on ethical decision-making. Nurs Ethics. 2024;31(2-3):132-147. doi:10.1177/09697330231187139
  • Çetinkaya Uslusoy E, Aydinli A, Durna F. Enhancing learning motivation and academic achievement in nursing students through metaverse-based learning: a randomized controlled study. Jpn J Nurs Sci. 2024;21(3):e12594. doi:10.1111/jjns.12594
  • Balkaya NA, Bilge C, Dönmez S. The effect of cooperative learning and interactive education methods on the motivation and self-confidence of nursing students. J Women’s Health Environ Nutr. 2022;8(1):14-24.
  • Ongor M, Uslusoy EC. The effect of multimedia-based education in e-learning on nursing students’ academic success and motivation: a randomised controlled study. Nurse Educ Pract. 2023;71:103686. doi:10.1016/j.nepr.2023.103686
  • Goolsarran N, Hamo CE, Lu WH. Using the jigsaw technique to teach patient safety. Med Educ Online. 2020;25(1):1710325. doi:10.1080/10872981.2019.1710325
  • Jeon JH. A study on education utilizing metaverse for effective communication in a convergence subject. Int J Internet Broadcast Commun. 2021;13(4):129-134.
  • Moon H, Freidouny M, Rajabi MS, Bozorgmehrian S, Sangwan A, Jeon M. The influence of olfactory and visual stimuli on students’ performance and mood in virtual reality environment. Proc Hum Factors Ergon Soc Annu Meet. 2023;67(1):2441-2446.
  • De Gagne JC, Randall PS, Rushton S, et al. The use of metaverse in nursing education: an umbrella review. Nurse Educ. 2023;48(3):E73-E78. doi:10.1097/NNE.0000000000001327
  • Bryant R, Vogt M, Miller C. Effects of an avatar-based simulation on family nurse practitioner students’ self-evaluated suicide prevention knowledge and confidence. Nurs Educ Perspect. 2024. doi:10.1097/01.NEP.0000000000001321
  • Lee H, Yi Y, Moon W, Yeo JY. Exploring the potential use of the metaverse in nurse education through a mock trial. Nurse Educ Today. 2023;131:105974. doi:10.1016/j.nedt.2023.105974
  • Plotzky C, Lindwedel U, Sorber M, et al. Virtual reality simulations in nurse education: a systematic mapping review. Nurse Educ Today. 2021;101:104868. doi:10.1016/j.nedt.2021.104868
  • Cho IY, Yun JY, Moon SH. Development and effectiveness of a metaverse reality-based family-centered handoff education program in nursing students. J Pediatr Nurs. 2024;76:176-191. doi:10.1016/j.pedn.2024.02.005
  • Kim DY, Lee HK, Chung K. Avatar-mediated experience in the metaverse: the impact of avatar realism on user-avatar relationship. J Retail Consum Serv. 2023;73:103382.
  • Cameron R. Lessons from the field: Applying the good reporting of a mixed methods study (GRAMMS) framework. Electron J Bus Res Methods. 2013;11(2):55-66.
  • Cuschieri S. The CONSORT statement. Saudi J Anaesth. 2019;13(Suppl 1):S27-S30.
  • Du KJ, Li GS, Zhang K, Lin Y, Yang F, Hannes K. Prof. Karin Hannes: COREQ (Consolidated Criteria for Reporting Qualitative Studies). Ann Transl Med. 2022;10(19):1073. doi:10.21037/atm-2022-23
  • Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field Methods. 2006;18(1):59-82. doi:10.1177/1525822X05279903
  • Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77-101. doi:10.1191/1478088706qp063oa
  • Bektaş İ, Yardımcı F, Bektaş M. Development of medication administration self-efficacy scale in children for nursing students and psychometric properties. DEUHFED. 2021;14(4):320-327.
  • Spatial.io. Creating collaborative learning environments in the metaverse. Spatial.io Reports. Accessed March 1, 2023. https://www.spatial.io/
  • Sezer H, Gül A. Health sciences students’ perspectives on metaverse and digital technology use: cross-sectional descriptive study. BMC Nurs. 2024;23:656. doi:10.1186/s12912-024-02309-w
  • Sendra-Portero F, Lorenzo-Álvarez R, Rudolphi-Solero T, Ruiz-Gómez MJ. The Second Life metaverse and its usefulness in medical education after a quarter of a century. J Med Internet Res. 2024;26:e59005. doi:10.2196/59005
  • Ghaempanah F, Alizadeh M, Hosseini R, et al. Metaverse and its impact on medical education and health care system: a narrative review. Health Sci Rep. 2024;7:e70100. doi:10.1002/hsr2.70100
  • Unity Technologies. VR and AR applications in education. Unity Whitepaper. Accessed March 1, 2023. https://unity.com/
  • Ben Yahya L, Naciri A, Radid M, Chemsi G. Immersive simulation in nursing and midwifery education: a systematic review. J Educ Eval Health Prof. 2024;21:19. doi:10.3352/jeehp.2024.21.19
  • Park S, Shin HJ, Kwak H, Lee HJ. Effects of immersive technology–based education for undergraduate nursing students: Systematic review and meta-analysis (GRADE). J Med Internet Res. 2024;26:e57566. doi:10.2196/57566
  • Amazon Web Services (AWS). Cloud computing for education: Scaling digital classrooms. AWS Educational Resources. Accessed March 1, 2023. https://aws.amazon.com/education/
  • Wondmieneh A, Alemu W, Tadele N, Demis A. Medication administration errors and contributing factors among nurses: a cross-sectional study in tertiary hospitals, Addis Ababa, Ethiopia. BMC Nurs. 2020;19:4. doi:10.1186/s12912-020-0397-0
  • Sachdeva S, Bhatia S, Al Harrasi A, et al. Unraveling the role of cloud computing in health care system and biomedical sciences. Heliyon. 2024;10(7):e29044. doi:10.1016/j.heliyon.2024.e29044
  • Hockenberry MJ, Bryant R, Hellsten MB. Wong’s Clinical Manual of Pediatric Nursing. 9th ed. St. Louis, MO: Elsevier Health Sciences; 2023.
  • Yang BH, Chung CY, Li YS, Lu CF. A cooperative learning intervention for improving a simulation-based paediatric nursing course: a quasi-experimental study. Nurse Educ Pract. 2024;80:104149. doi:10.1016/j.nepr.2024.104149
  • Fields L, Trostian B, Moroney T, Dean BA. Active learning pedagogy transformation: a whole-of-school approach to person-centred teaching and nursing graduates. Nurse Educ Pract. 2021;53:103051. doi:10.1016/j.nepr.2021.103051
  • Gassas R. Sources of the knowledge-practice gap in nursing: lessons from an integrative review. Nurse Educ Today. 2021;106:105095. doi:10.1016/j.nedt.2021.105095
  • Lin C, Han C, Huang Y, Chen L, Su CC. Effectiveness of the use of concept maps and simulated cases as a teaching-learning strategy in enhancing the learning confidence of baccalaureate nursing students: a qualitative approach. Nurse Educ Today. 2022;115:105418. doi:10.1016/j.nedt.2022.105418
  • Ryu H, Lee H, Yoo HJ. Development of a metaverse online learning system for undergraduate nursing students: a pilot study. Nurse Educ. 2024;49(2):E74-E79. doi:10.1097/NNE.0000000000001509
  • Jeppu AK, Kumar KA, Sethi A. We work together as a group: implications of jigsaw cooperative learning. BMC Med Educ. 2023;23(1):734. doi:10.1186/s12909-023-04734-y
  • Al-Sayaghi KM, Atrous MH, Alkaluby EA, et al. Relationship between self-esteem and stress coping strategies among internship nursing students. Open Access Maced J Med Sci. 2023;11(G):26-32.
  • Mutlu B, Azak M, Kalaycı S. Investigation of the relationship between clinical comfort-worry and self-efficacy perceptions of nursing students who have taken pediatric nursing course. OPUS Int J Soc Res. 2020;15(26):4293-4315.
  • Lassche M, Al-Qaaydeh S, Macintosh CI, Black M. Identifying changes in comfort and worry among pediatric nursing students following clinical rotations. J Pediatr Nurs. 2013;28(1):48-54. doi:10.1016/j.pedn.2011.12.008
  • Kubin L, Wilson CE. Effects of community volunteer children on student pediatric assessment behaviors. Clin Simul Nurs. 2017;13(7):303-308.
  • Abdel-Mordy MA, Sabry SS, Abdelrazek A. Effect of cooperative jigsaw learning strategy on community nursing students’ attitude and achievement. Int Egypt J Nurs Sci Res. 2022;2(2):487-500.
There are 45 citations in total.

Details

Primary Language English
Subjects Pediatric Health and Illnesses Nursing, Nurse Education
Journal Section Original Article
Authors

Şerife Tutar 0000-0002-3559-8677

Hande Özgörü 0000-0002-9263-8372

Faruk Durna 0000-0002-9470-7386

Yurdagül Şahin 0009-0006-6467-1112

Publication Date October 25, 2025
Submission Date August 14, 2025
Acceptance Date October 9, 2025
Published in Issue Year 2025 Volume: 8 Issue: 6

Cite

AMA Tutar Ş, Özgörü H, Durna F, Şahin Y. Examining jigsaw, metaverse, and classic learning methods’ impact on nursing students’ self-efficacy in pediatric drug administration: a mixed-methods study. J Health Sci Med / JHSM. October 2025;8(6):1065-1075. doi:10.32322/jhsm.1764718

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Our Journal using the DergiPark system indexed are;

Ulakbim TR Dizin,  Index Copernicus, ICI World of JournalsDirectory of Research Journals Indexing (DRJI), General Impact FactorASOS Index, OpenAIRE, MIAR,  EuroPub, WorldCat (OCLC)DOAJ,  Türkiye Citation Index, Türk Medline Index, InfoBase Index


Our Journal using the DergiPark system platforms are;

Google, Google Scholar, CrossRef (DOI), ResearchBib, ICJME, COPE, NCBI, ORCID, Creative Commons, Open Access, and etc.


Journal articles are evaluated as "Double-Blind Peer Review". 

Our journal has adopted the Open Access Policy and articles in JHSM are Open Access and fully comply with Open Access instructions. All articles in the system can be accessed and read without a journal user.  https//dergipark.org.tr/tr/pub/jhsm/page/9535

Journal charge policy   https://dergipark.org.tr/tr/pub/jhsm/page/10912

Our journal has been indexed in DOAJ as of May 18, 2020.

Our journal has been indexed in TR-Dizin as of March 12, 2021.


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Articles published in the Journal of Health Sciences and Medicine have open access and are licensed under the Creative Commons CC BY-NC-ND 4.0 International License.