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Health Technology Assessment in Developing Countries: Analysing Challenges with the AHP Approach

Year 2025, Volume: 7 Issue: 2, 456 - 464, 07.08.2025
https://doi.org/10.46413/boneyusbad.1566864

Abstract

Aim: This study aims to determine the relative importance of the challenges encountered in health technology assessment processes in developing countries by using the Analytical Hierarchy Process (AHP) method and to provide strategic solutions for improvement.
Material and Method: As a result of the literature review, 8 main challenges encountered in health technology assessment processes were identified. These challenges were evaluated by 6 experts from the fields of health management, health informatics and health economics through the AHP method.
Results: AHP results show that the most important challenge in health technology assessment is financial resource constraint with a normalized weight score of 35.06%. This challenge was followed by physical and infrastructure deficiencies (21.11%) and poor quality and inconsistent data flow (16.44%).
Conclusion: To overcome the most pressing challenge of financial resource constraints, it is imperative that governments and stakeholders’ priorities health financing reforms that increase budget allocations for health technology assessments. Accordingly, prioritizing public-private partnerships can help in this regard. These partnerships contribute to alleviate the financial burden on the public sector in the field of health technology and facilitate access to innovative technological solutions offered by the private sector.

References

  • Abdelraheem, O., Sami, D. G., Salama, M. (2023). Online health communities: an alternative feasible data registry tool for developing countries. Health Research Policy and Systems, 21 (1). doi:10.1186/s12961-023-00976-w
  • Aisyah, D. N., Setiawan, A. H., Lokopessy, A. F., Faradiba, N., Setiaji, S., Manikam, L., … Kozlakidis, Z. (2024). The information and communication technology maturity assessment at primary health care services across 9 provinces in indonesia: evaluation study. JMIR Medical Informatics, 12, e55959-e55959. doi:10.2196/55959
  • Ali, M. S., Ichihara, M. Y., Lopes, L. C., Barbosa, G., Pita, R., Carreiro, R., …Barreto, M. L. (2019). Administrative data linkage in brazil: potentials for health technology assessment. Frontiers in Pharmacology, 10. doi:10.3389/fphar.2019.00984
  • Butt, A. J., Allen, C., Purcell, A., Ito, S., Goshua, G. (2023). Global health resource utilization and cost-effectiveness of therapeutics and diagnostics in immune thrombotic thrombocytopenic purpura (ttp). Journal of Clinical Medicine, 12(15), 4887. doi:10.3390/jcm12154887
  • Cameron, A., Ma, N., Babidge, W. J., Maddern, G. J. (2024). Changes and challenges in health technology assessment. ANZ Journal of Surgery, 94(6), 986-988. doi:10.1111/ans.19023
  • Charokopou, M., Májer, I., Raad, J. d., Broekhuizen, S., Postma, M. J., Heeg, B. (2015). Which factors enhance positive drug reimbursement recommendation in scotland? a retrospective analysis 2006–2013. Value in Health, 18(2), 284-291. doi:10.1016/j.jval.2014.12.008
  • Chhabra, V., Chopra, S., Rajan, P. (2018). Challenges in technology adoption in indian public distribution system: a quality management approach. International Journal of Productivity and Quality Management, 23 (3), 328. doi:10.1504/ijpqm.2018.089804
  • Ciani, O., Grigore, B., Blommestein, H., de Groot, S., Möllenkamp, M., Rabbe, S., ...Taylor, R. S. (2021). Validity of surrogate endpoints and their impact on coverage recommendations: a retrospective analysis across international health technology assessment agencies. Medical Decision Making, 41 (4), 439-452.
  • Dağdeviren, M., Yüksel, İ. (2008). Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management. Information Sciences, 178 (6), 1717-1733.
  • Dankó, D., Petrova, G. (2014). Health technology assessment in the balkans: opportunities for a balanced drug assessment system. Biotechnology &Amp; Biotechnological Equipment, 28 (6), 1181-1189. doi:10.1080/13102818.2014.978636
  • Dehnavieh, R., Hekmat, S. N., Ghasemi, S., Mirshekari, N. (2015). The vulnerable aspects of application of “Health Technology Assessment”. International Journal of Technology Assessment in Health Care, 31 (3), 197-198.
  • Drummond, M. F., Augustovski, F., Bhattacharyya, D., Campbell, J., Chaiyakanapruk, N., Chen, Y., ... Yeung, K. (2022). Challenges of health technology assessment in pluralistic healthcare systems: an ISPOR Council Report. Value in Health, 25 (8), 1257-1267.
  • Ehsan, U., Sakib, N., Haque, M., Soron, T. R., Saxena, D., Ahamed, S. I., … Ahmed, S. I. (2018). Confronting autism in urban bangladesh: unpacking infrastructural and cultural challenges. EAI Endorsed Transactions on Pervasive Health and Technology, 4 (14), e5. doi:10.4108/eai.13-7-2018.155082
  • Garau, M., Devlin, N. J. (2017). Using MCDA as a decision aid in health technology appraisal for coverage decisions: opportunities, challenges and unresolved questions. Multi-Criteria Decision Analysis to Support Healthcare Decisions, 277-298.
  • Ghassemi, S., Dehnavieh, R. (2016). Applying the results of health technology assessment reports in developing countries, the pale face of coin. Technology and Health Care, 24 (5), 781-782. doi:10.3233/thc-161233
  • Guerra-Junior, A., Lemos, L. d. A., Godman, B., Bennie, M., Osório-de-Castro, C. G. S., Álvares, J., … Acúrcio, F. d. A. (2017). Health technology performance assessment: real-world evidence for public healthcare sustainability. International Journal of Technology Assessment in Health Care, 33 (2), 279-287. doi:10.1017/s0266462317000423
  • Iandolo, F., Vito, P., Fulco, I., Loia, F. (2018). From health technology assessment to health technology sustainability. Sustainability, 10 (12), 4748. doi:10.3390/su10124748
  • Inotai, A., Pékli, M., Jóna, G., Nagy, O., Remak, E., Kaló, Z. (2012). Attempt to increase the transparency of fourth hurdle implementation in central-eastern european middle income countries: publication of the critical appraisal methodology. BMC Health Services Research, 12 (1). doi:10.1186/1472-6963-12-332
  • Kaur, G., Prinja, S., Lakshmi, P. V. M., Downey, L., Sharma, D., Teerawattananon, Y. (2019). Criteria used for priority-setting for public health resource allocation in low-and middle-income countries: a systematic review. International Journal of Technology Assessment in Health Care, 35 (6), 474-483.
  • Kiselova Bilekova, B., Gavurova, B., Rogalewicz, V. (2018). Application of the HTA Core Model for complex evaluation of the effectiveness and quality of Radium-223 treatment in patients with metastatic castration resistant prostate cancer. Health Economics Review, 8, 1-13.
  • Lipska, I., McAuslane, N., Leufkens, H., Hövels, A. (2017). A decade of health technology assessment in Poland. International Journal of Technology Assessment in Health Care, 33 (3), 350-357.
  • Magrabi, F., Ammenwerth, E., Craven, C. K., Cresswell, K., Keizer, N. F. d., Medlock, S., … Georgiou, A. (2021). Managing pandemic responses with health informatics – challenges for assessing digital health technologies. Yearbook of Medical Informatics, 30 (01), 56-60. https://doi.org/10.1055/s-0041-1726490
  • Maniadakis, N., Kourlaba, G., Shen, J., Holtorf, A. (2017). Comprehensive taxonomy and worldwide trends in pharmaceutical policies in relation to country income status. BMC Health Services Research, 17 (1). doi:10.1186/s12913-017-2304-2
  • Manyazewal, T., Ali, M. K., Kebede, T., Magee, M. J., Getinet, T., Patel, S. A., … Fekadu, A. (2023). Mapping digital health ecosystems in africa in the context of endemic infectious and non-communicable diseases. NPJ Digital Medicine, 6 (1). doi:10.1038/s41746-023-00839-2
  • Mezei, F., Horváth, K., Pálfi, M., Lovas, K., Ádám, I., Túri, G. (2023). International practices in health technology assessment and public financing of digital health technologies: recommendations for Hungary. Frontiers in Public Health, 11, 1197949.
  • Mremi, I. R., George, J., Rumisha, S. F., Sindato, C., Kimera, S. I., Mboera, L. E. (2021). Twenty years of integrated disease surveillance and response in Sub-Saharan Africa: challenges and opportunities for effective management of infectious disease epidemics. One Health Outlook, 3, 1-15.
  • Novaes, H. M. D., Soárez, P. C. D. (2016). Health technology assessment (HTA) organizations: dimensions of the institutional and political framework. Cadernos de Saude Publica, 32 (2), 1-14.
  • Nunes, L. M. N., Fonteles, M. M. d. F., Passos, A. C. d. B., Arrais, P. S. D. (2017). Evaluation of demands of inclusion, exclusion and alteration of technologies in the brazilian health system submitted to the national committee on technology incorporation. Brazilian Journal of Pharmaceutical Sciences, 53 (2). https://doi.org/10.1590/s2175-97902017000216073
  • Osei, E., Mashamba-Thompson, T. P. (2021). Mobile health applications for disease screening and treatment support in low-and middle-income countries: a narrative review. Heliyon, 7(3), e06639. doi:10.1016/j.heliyon.2021.e06639
  • Ottersen, T., Moon, S., Røttingen, J. (2017). The challenge of middle-income countries to development assistance for health: recipients, funders, both or neither?. Health Economics, Policy and Law, 12 (2), 265-284. doi:10.1017/s1744133116000499
  • Polisena, J., Trunk, G., Gutiérrez-Ibarluzea, I., Joppi, R. (2019). Disinvestment activities and candidates in the health technology assessment community: an online survey. International Journal of Technology Assessment in Health Care, 35 (03), 189-194. doi: 10.1017/s0266462319000229
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1 (1), 83-98.
  • Sadiq, R., Tesfamariam, S. (2009). Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP). Stochastic Environmental Research and Risk Assessment, 23 (1), 75-91.
  • Sipahi, S., Timor, M. (2010). The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, 48 (5), 775-808.
  • Surgey, G., Curocichin, G., Garabajiu, M., Novakovic, T., Pana, A., Oortwijn, W. (2024). The development of a roadmap for Health Technology Assessment implementation in Moldova. F1000Research, 13, 518.
  • Syed, S. B., Dadwal, V., Rutter, P. D., Storr, J., Hightower, J. D., Gooden, R., … Pittet, D. (2012). Developed-developing country partnerships: benefits to developed countries?. Globalization and Health, 8 (1). doi:10.1186/1744-8603-8-17.
  • Vassall, A., Mangham-Jefferies, L., Gomez, G. B., Pitt, C., Foster, N. (2016). Incorporating demand and supply constraints into economic evaluations in low‐income and middle‐income countries. Health Economics, 25 (S1), 95-115. doi:10.1002/hec.3306.
  • Zayyad, M. A., Toycan, M. (2018). Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of nigerian hospitals from the perspective of healthcare professionals. PeerJ, 6,. doi:10.7717/peerj.4436.
  • Zhou, X., Hu, Y., Deng, Y., Chan, F. T., Ishizaka, A. (2018). A DEMATEL-based completion method for incomplete pairwise comparison matrix in AHP. Annals of Operations Research, 271, 1045-1066.

Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı ile Zorlukların Analizi

Year 2025, Volume: 7 Issue: 2, 456 - 464, 07.08.2025
https://doi.org/10.46413/boneyusbad.1566864

Abstract

Amaç: Bu çalışmada, gelişmekte olan ülkelerde sağlık teknolojisi değerlendirme süreçlerinde karşılaşılan zorlukların göreceli önemini Analitik Hiyerarşi Süreci (AHS) yaklaşımını kullanarak belirlemek ve iyileştirme için stratejik çözüm önerileri sunmak amaçlanmıştır.
Gereç ve Yöntem: Literatür taraması doğrultusunda sağlık teknolojisi değerlendirme süreçlerinde karşılaşılan sekiz ana zorluk belirlenmiştir. Bu zorluklar sağlık yönetimi, sağlık bilişimi ve sağlık ekonomisi alanlarından 6 uzman tarafından AHS yaklaşımı aracılığıyla değerlendirilmiştir.
Bulgular: AHS sonuçları, sağlık teknolojisi değerlendirmesindeki en önemli zorluğun %35.06 normalleştirilmiş ağırlık puanı ile finansal kaynak kısıtı olduğunu göstermektedir. Bu zorluğu fiziki ve altyapı eksiklikleri (%21.11) ve kalitesiz ve tutarsız veri akışı (%16.44) izlemiştir.
Sonuç: En acil zorluk olan finansal kaynak kısıtının üstesinden gelmek için, hükümetlerin ve paydaşların sağlık teknolojisi değerlendirmeleri için bütçe tahsislerini artıran sağlık finansmanı reformlarına öncelik vermeleri zorunludur. Bu doğrultuda, kamu-özel sektör iş birliklerine öncelik vermek bu konuda yardımcı olabilir. Bu ortaklıklar, sağlık teknolojisi alanında kamunun üzerindeki finansal yükü hafifletmeye ve özel sektör tarafından sunulan yenilikçi teknolojik çözümlere erişimi kolaylaştırmaya katkı sağlamaktadır.

Ethical Statement

Araştırmanın bilimsel açıdan uygun olduğu, İstanbul Medipol Üniversitesi Girişimsel Olmayan Klinik Araştırmalar Etik Kurulu tarafından 05/09/2024 tarih, E- 10840098-202.3.02-5388 sayılı karar ile onaylanmıştır.

References

  • Abdelraheem, O., Sami, D. G., Salama, M. (2023). Online health communities: an alternative feasible data registry tool for developing countries. Health Research Policy and Systems, 21 (1). doi:10.1186/s12961-023-00976-w
  • Aisyah, D. N., Setiawan, A. H., Lokopessy, A. F., Faradiba, N., Setiaji, S., Manikam, L., … Kozlakidis, Z. (2024). The information and communication technology maturity assessment at primary health care services across 9 provinces in indonesia: evaluation study. JMIR Medical Informatics, 12, e55959-e55959. doi:10.2196/55959
  • Ali, M. S., Ichihara, M. Y., Lopes, L. C., Barbosa, G., Pita, R., Carreiro, R., …Barreto, M. L. (2019). Administrative data linkage in brazil: potentials for health technology assessment. Frontiers in Pharmacology, 10. doi:10.3389/fphar.2019.00984
  • Butt, A. J., Allen, C., Purcell, A., Ito, S., Goshua, G. (2023). Global health resource utilization and cost-effectiveness of therapeutics and diagnostics in immune thrombotic thrombocytopenic purpura (ttp). Journal of Clinical Medicine, 12(15), 4887. doi:10.3390/jcm12154887
  • Cameron, A., Ma, N., Babidge, W. J., Maddern, G. J. (2024). Changes and challenges in health technology assessment. ANZ Journal of Surgery, 94(6), 986-988. doi:10.1111/ans.19023
  • Charokopou, M., Májer, I., Raad, J. d., Broekhuizen, S., Postma, M. J., Heeg, B. (2015). Which factors enhance positive drug reimbursement recommendation in scotland? a retrospective analysis 2006–2013. Value in Health, 18(2), 284-291. doi:10.1016/j.jval.2014.12.008
  • Chhabra, V., Chopra, S., Rajan, P. (2018). Challenges in technology adoption in indian public distribution system: a quality management approach. International Journal of Productivity and Quality Management, 23 (3), 328. doi:10.1504/ijpqm.2018.089804
  • Ciani, O., Grigore, B., Blommestein, H., de Groot, S., Möllenkamp, M., Rabbe, S., ...Taylor, R. S. (2021). Validity of surrogate endpoints and their impact on coverage recommendations: a retrospective analysis across international health technology assessment agencies. Medical Decision Making, 41 (4), 439-452.
  • Dağdeviren, M., Yüksel, İ. (2008). Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management. Information Sciences, 178 (6), 1717-1733.
  • Dankó, D., Petrova, G. (2014). Health technology assessment in the balkans: opportunities for a balanced drug assessment system. Biotechnology &Amp; Biotechnological Equipment, 28 (6), 1181-1189. doi:10.1080/13102818.2014.978636
  • Dehnavieh, R., Hekmat, S. N., Ghasemi, S., Mirshekari, N. (2015). The vulnerable aspects of application of “Health Technology Assessment”. International Journal of Technology Assessment in Health Care, 31 (3), 197-198.
  • Drummond, M. F., Augustovski, F., Bhattacharyya, D., Campbell, J., Chaiyakanapruk, N., Chen, Y., ... Yeung, K. (2022). Challenges of health technology assessment in pluralistic healthcare systems: an ISPOR Council Report. Value in Health, 25 (8), 1257-1267.
  • Ehsan, U., Sakib, N., Haque, M., Soron, T. R., Saxena, D., Ahamed, S. I., … Ahmed, S. I. (2018). Confronting autism in urban bangladesh: unpacking infrastructural and cultural challenges. EAI Endorsed Transactions on Pervasive Health and Technology, 4 (14), e5. doi:10.4108/eai.13-7-2018.155082
  • Garau, M., Devlin, N. J. (2017). Using MCDA as a decision aid in health technology appraisal for coverage decisions: opportunities, challenges and unresolved questions. Multi-Criteria Decision Analysis to Support Healthcare Decisions, 277-298.
  • Ghassemi, S., Dehnavieh, R. (2016). Applying the results of health technology assessment reports in developing countries, the pale face of coin. Technology and Health Care, 24 (5), 781-782. doi:10.3233/thc-161233
  • Guerra-Junior, A., Lemos, L. d. A., Godman, B., Bennie, M., Osório-de-Castro, C. G. S., Álvares, J., … Acúrcio, F. d. A. (2017). Health technology performance assessment: real-world evidence for public healthcare sustainability. International Journal of Technology Assessment in Health Care, 33 (2), 279-287. doi:10.1017/s0266462317000423
  • Iandolo, F., Vito, P., Fulco, I., Loia, F. (2018). From health technology assessment to health technology sustainability. Sustainability, 10 (12), 4748. doi:10.3390/su10124748
  • Inotai, A., Pékli, M., Jóna, G., Nagy, O., Remak, E., Kaló, Z. (2012). Attempt to increase the transparency of fourth hurdle implementation in central-eastern european middle income countries: publication of the critical appraisal methodology. BMC Health Services Research, 12 (1). doi:10.1186/1472-6963-12-332
  • Kaur, G., Prinja, S., Lakshmi, P. V. M., Downey, L., Sharma, D., Teerawattananon, Y. (2019). Criteria used for priority-setting for public health resource allocation in low-and middle-income countries: a systematic review. International Journal of Technology Assessment in Health Care, 35 (6), 474-483.
  • Kiselova Bilekova, B., Gavurova, B., Rogalewicz, V. (2018). Application of the HTA Core Model for complex evaluation of the effectiveness and quality of Radium-223 treatment in patients with metastatic castration resistant prostate cancer. Health Economics Review, 8, 1-13.
  • Lipska, I., McAuslane, N., Leufkens, H., Hövels, A. (2017). A decade of health technology assessment in Poland. International Journal of Technology Assessment in Health Care, 33 (3), 350-357.
  • Magrabi, F., Ammenwerth, E., Craven, C. K., Cresswell, K., Keizer, N. F. d., Medlock, S., … Georgiou, A. (2021). Managing pandemic responses with health informatics – challenges for assessing digital health technologies. Yearbook of Medical Informatics, 30 (01), 56-60. https://doi.org/10.1055/s-0041-1726490
  • Maniadakis, N., Kourlaba, G., Shen, J., Holtorf, A. (2017). Comprehensive taxonomy and worldwide trends in pharmaceutical policies in relation to country income status. BMC Health Services Research, 17 (1). doi:10.1186/s12913-017-2304-2
  • Manyazewal, T., Ali, M. K., Kebede, T., Magee, M. J., Getinet, T., Patel, S. A., … Fekadu, A. (2023). Mapping digital health ecosystems in africa in the context of endemic infectious and non-communicable diseases. NPJ Digital Medicine, 6 (1). doi:10.1038/s41746-023-00839-2
  • Mezei, F., Horváth, K., Pálfi, M., Lovas, K., Ádám, I., Túri, G. (2023). International practices in health technology assessment and public financing of digital health technologies: recommendations for Hungary. Frontiers in Public Health, 11, 1197949.
  • Mremi, I. R., George, J., Rumisha, S. F., Sindato, C., Kimera, S. I., Mboera, L. E. (2021). Twenty years of integrated disease surveillance and response in Sub-Saharan Africa: challenges and opportunities for effective management of infectious disease epidemics. One Health Outlook, 3, 1-15.
  • Novaes, H. M. D., Soárez, P. C. D. (2016). Health technology assessment (HTA) organizations: dimensions of the institutional and political framework. Cadernos de Saude Publica, 32 (2), 1-14.
  • Nunes, L. M. N., Fonteles, M. M. d. F., Passos, A. C. d. B., Arrais, P. S. D. (2017). Evaluation of demands of inclusion, exclusion and alteration of technologies in the brazilian health system submitted to the national committee on technology incorporation. Brazilian Journal of Pharmaceutical Sciences, 53 (2). https://doi.org/10.1590/s2175-97902017000216073
  • Osei, E., Mashamba-Thompson, T. P. (2021). Mobile health applications for disease screening and treatment support in low-and middle-income countries: a narrative review. Heliyon, 7(3), e06639. doi:10.1016/j.heliyon.2021.e06639
  • Ottersen, T., Moon, S., Røttingen, J. (2017). The challenge of middle-income countries to development assistance for health: recipients, funders, both or neither?. Health Economics, Policy and Law, 12 (2), 265-284. doi:10.1017/s1744133116000499
  • Polisena, J., Trunk, G., Gutiérrez-Ibarluzea, I., Joppi, R. (2019). Disinvestment activities and candidates in the health technology assessment community: an online survey. International Journal of Technology Assessment in Health Care, 35 (03), 189-194. doi: 10.1017/s0266462319000229
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1 (1), 83-98.
  • Sadiq, R., Tesfamariam, S. (2009). Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP). Stochastic Environmental Research and Risk Assessment, 23 (1), 75-91.
  • Sipahi, S., Timor, M. (2010). The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, 48 (5), 775-808.
  • Surgey, G., Curocichin, G., Garabajiu, M., Novakovic, T., Pana, A., Oortwijn, W. (2024). The development of a roadmap for Health Technology Assessment implementation in Moldova. F1000Research, 13, 518.
  • Syed, S. B., Dadwal, V., Rutter, P. D., Storr, J., Hightower, J. D., Gooden, R., … Pittet, D. (2012). Developed-developing country partnerships: benefits to developed countries?. Globalization and Health, 8 (1). doi:10.1186/1744-8603-8-17.
  • Vassall, A., Mangham-Jefferies, L., Gomez, G. B., Pitt, C., Foster, N. (2016). Incorporating demand and supply constraints into economic evaluations in low‐income and middle‐income countries. Health Economics, 25 (S1), 95-115. doi:10.1002/hec.3306.
  • Zayyad, M. A., Toycan, M. (2018). Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of nigerian hospitals from the perspective of healthcare professionals. PeerJ, 6,. doi:10.7717/peerj.4436.
  • Zhou, X., Hu, Y., Deng, Y., Chan, F. T., Ishizaka, A. (2018). A DEMATEL-based completion method for incomplete pairwise comparison matrix in AHP. Annals of Operations Research, 271, 1045-1066.
There are 39 citations in total.

Details

Primary Language Turkish
Subjects Health Management, Health Services and Systems (Other)
Journal Section RESEARCH ARTICLES
Authors

Emre Yılmaz 0000-0003-4502-9846

Early Pub Date August 6, 2025
Publication Date August 7, 2025
Submission Date October 14, 2024
Acceptance Date January 24, 2025
Published in Issue Year 2025 Volume: 7 Issue: 2

Cite

APA Yılmaz, E. (2025). Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı ile Zorlukların Analizi. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri Ve Araştırmaları Dergisi, 7(2), 456-464. https://doi.org/10.46413/boneyusbad.1566864
AMA Yılmaz E. Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı ile Zorlukların Analizi. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi. August 2025;7(2):456-464. doi:10.46413/boneyusbad.1566864
Chicago Yılmaz, Emre. “Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı Ile Zorlukların Analizi”. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri Ve Araştırmaları Dergisi 7, no. 2 (August 2025): 456-64. https://doi.org/10.46413/boneyusbad.1566864.
EndNote Yılmaz E (August 1, 2025) Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı ile Zorlukların Analizi. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 7 2 456–464.
IEEE E. Yılmaz, “Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı ile Zorlukların Analizi”, Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi, vol. 7, no. 2, pp. 456–464, 2025, doi: 10.46413/boneyusbad.1566864.
ISNAD Yılmaz, Emre. “Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı Ile Zorlukların Analizi”. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 7/2 (August2025), 456-464. https://doi.org/10.46413/boneyusbad.1566864.
JAMA Yılmaz E. Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı ile Zorlukların Analizi. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi. 2025;7:456–464.
MLA Yılmaz, Emre. “Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı Ile Zorlukların Analizi”. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri Ve Araştırmaları Dergisi, vol. 7, no. 2, 2025, pp. 456-64, doi:10.46413/boneyusbad.1566864.
Vancouver Yılmaz E. Gelişmekte Olan Ülkelerde Sağlık Teknolojisi Değerlendirmesi: AHS Yaklaşımı ile Zorlukların Analizi. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi. 2025;7(2):456-64.