Modern Digital Technologies for Monitoring Tuberculosis Adherence

Authors

  • Vikas Chauhan
  • Shubham Verma
  • Pushkar Kumar Ray
  • Satyendra Kumar Mishra
  • Priya Chaturvedi
  • Ayesha Khatun
  • Anila Mishra

Keywords:

Tuberculosis, medication adherence, Digital Technology, VOT, 99-DOTS

Abstract

Tuberculosis (TB) is a persistent contagious disease caused by Mycobacterium tuberculosis which is highly prevalent globally. The bacterial disease can manifest as either pulmonary or extrapulmonary. The timely identification of the disease and initiation of anti-tubercular therapy significantly influences the management and treatment outcome of TB. TB is typically treated with a 6 to 9-month medication regimen requiring strict adherence to the therapy. Medication nonadherence leads to increased hospitalization, disabilities, deaths, reoccurrence of the disease, and antimicrobial resistance. Medication non-adherence is a significant global health concern, especially in TB, several approaches including education, behavior, and the use of digital tools can improve that. This review highlights the features, use, benefits, and limitations of various digital tools such as Video Observed Therapy (VOT), 99-DOTs, Drone Observed therapy system (Dr-OTS), Medication Event Reminder Monitor System (MERM), Bio-ingestible sensors and smart pill bottles used in improving the medication adherence of TB. Digital adherence technology could prove to be an acceptable alternative approach to monitoring and improving TB medication adherence....

Downloads

Download data is not yet available.

References

Subbaraman, R., de Mondesert, L., Musiimenta, A., Pai, M., Mayer, K. H., Thomas, B. E., & Haberer, J. (2018). Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities. BMJ global health, 3(5), e001018.

Cross, A., Gupta, N., Liu, B., Nair, V., Kumar, A., Kuttan, R., ... & Thies, W. (2019, January). 99DOTS: a low-cost approach to monitoring and improving medication adherence. In Proceedings of the Tenth International Conference on Information and Communication Technologies and Development (pp. 1-12).

Thomas, B. E., Kumar, J. V., Onongaya, C., Bhatt, S. N., Galivanche, A., Periyasamy, M., ... & Subbaraman, R. (2020). Explaining differences in the acceptability of 99DOTS, a cell phone–based strategy for monitoring adherence to tuberculosis medications: qualitative study of patients and health care providers. JMIR mHealth and uHealth, 8(7), e16634.

Xu, M., Markström, U., Lyu, J., & Xu, L. (2017). Detection of low adherence in rural tuberculosis patients in China: application of morisky medication adherence scale. International journal of environmental research and public health, 14(3), 248.

Pradipta, I. S., Houtsma, D., van Boven, J. F., Alffenaar, J. W. C., & Hak, E. (2020). Interventions to improve medication adherence in tuberculosis patients: a systematic review of randomized controlled studies. NPJ primary care respiratory medicine, 30(1), 21.

Peloquin, C. A., & Davies, G. R. (2021). The treatment of tuberculosis. Clinical Pharmacology & Therapeutics, 110(6), 1455-1466.

Kvarnström, K., Westerholm, A., Airaksinen, M., & Liira, H. (2021). Factors contributing to medication adherence in patients with a chronic condition: a scoping review of qualitative research. Pharmaceutics, 13(7), 1100.

Vernon A, Fielding K, Savic R, Dodd L, Nahid P. The importance of adherence in tuberculosis treatment clinical trials and its relevance in explanatory and pragmatic trials. PLoS Med 2019;16:e1002884.

Sazali, M. F., Rahim, S. S. S. A., Mohammad, A. H., Kadir, F., Payus, A. O., Avoi, R., ... & Azhar, Z. I. (2022). Improving Tuberculosis Medication Adherence: The Potential of Integrating Digital Technology and Health Belief Model. Tuberculosis and Respiratory Diseases.

Chimeh, R. A., Gafar, F., Pradipta, I. S., Akkerman, O. W., Hak, E., Alffenaar, J. W., & van Boven, J. F. M. (2020). Clinical and economic impact of medication non-adherence in drug-susceptible tuberculosis: a systematic review. The International Journal of Tuberculosis and Lung Disease, 24(8), 811-819.

Wurie, F. B., Cooper, V., Horne, R., & Hayward, A. C. (2018). Determinants of non-adherence to treatment for tuberculosis in high-income and middle-income settings: a systematic review protocol. BMJ open, 8(1).

Nezenega, Z. S., Perimal-Lewis, L., & Maeder, A. J. (2020). Factors Influencing Patient Adherence to Tuberculosis Treatment in Ethiopia: A Literature Review. International journal of environmental research and public health, 17(15), 5626. https://doi.org/10.3390/ijerph17155626

Thakur, G., Thakur, S., & Thakur, H. (2021). Status and challenges for tuberculosis control in India - Stakeholders' perspective. The Indian journal of tuberculosis, 68(3), 334–339. https://doi.org/10.1016/j.ijtb.2020.10.001

While A. (2020). Medication adherence: understanding the issues and finding solutions. British journal of community nursing, 25(10), 474–479. https://doi.org/10.12968/bjcn.2020.25.10.474

Piña, I. L., Di Palo, K. E., Brown, M. T., Choudhry, N. K., Cvengros, J., Whalen, D., ... & Johnson, J. (2021). Medication adherence: importance, issues and policy: a policy statement from the American Heart Association. Progress in cardiovascular diseases, 64, 111-120.

https://bepls.com/spl_4_2022/50.pdf Sonal Setya

Needamangalam Balaji, J., Prakash, S., Park, Y., Baek, J. S., Shin, J., Rajaguru, V., & Surapaneni, K. M. (2022). A Scoping Review on Accentuating the Pragmatism in the Implication of Mobile Health (mHealth) Technology for Tuberculosis Management in India. Journal of Personalized Medicine, 12(10), 1599.

Mangan, J. M., Woodruff, R. S., Winston, C. A., Nabity, S. A., Haddad, M. B., Dixon, M. G., ... & Lam, C. K. (2023). Recommendations for Use of Video Directly Observed Therapy During Tuberculosis Treatment—United States, 2023. Morbidity and Mortality Weekly Report, 72(12), 313.

Nguyen, T. A., Pham, M. T., Nguyen, T. L., Nguyen, V. N., Pham, D. C., Nguyen, B. H., & Fox, G. J. (2017). Video directly observed therapy to support adherence with treatment for tuberculosis in Vietnam: a prospective cohort study. International Journal of Infectious Diseases, 65, 85-89

Al Daajani, M. M., Alsahafi, A. J., Algarni, A. M., Moawwad, A. L., Osman, A. A., Algaali, K. Y., ... & Alshammari, N. G. (2023). Use of Smartphone-Based Video Directly Observed Therapy to Increase Tuberculosis Medication Adherence: An Interventional Study. Galen Medical Journal, 12, e3067-e3067.

Nguyen, L. H., Tran, P. T. M., Dam, T. A., Forse, R. J., Codlin, A. J., Huynh, H. B., ... & Vo, L. N. Q. (2021). Assessing private provider perceptions and the acceptability of video observed treatment technology for tuberculosis treatment adherence in three cities across Viet Nam. Plos one, 16(5), e0250644.

Truong, C. B., Tanni, K. A., & Qian, J. (2022). Video-Observed therapy versus directly observed therapy in patients with tuberculosis. American Journal of Preventive Medicine, 62(3), 450-458.

Garfein, R. S., Liu, L., Cuevas-Mota, J., Collins, K., Catanzaro, D. G., Muñoz, F., ... & Rios, P. (2020). Evaluation of recorded video-observed therapy for anti-tuberculosis treatment. The International Journal of Tuberculosis and Lung Disease, 24(5), 520-525.

Kumwichar, P., Chongsuvivatwong, V., & Prappre, T. (2021). Development of a video-observed therapy system to improve monitoring of tuberculosis treatment in Thailand: mixed-methods study. JMIR Formative Research, 5(7), e29463.

Garfein, R. S., & Doshi, R. P. (2019). Synchronous and asynchronous video observed therapy (VOT) for tuberculosis treatment adherence monitoring and support. Journal of clinical tuberculosis and other mycobacterial diseases, 17, 100098. https://doi.org/10.1016/j.jctube.2019.100098

Ritter, L. A., Kwong, M. W., & Nasseri, L. M. (2017). California Public Health Departments Remotely Treat Tuberculosis. Californian Journal of Health Promotion, 15(2), 37-45.

Holzman, S. B., Zenilman, A., & Shah, M. (2018, April). Advancing patient-centered care in tuberculosis management: a mixed-methods appraisal of video directly observed therapy. In Open forum infectious diseases (Vol. 5, No. 4, p. ofy046). US: Oxford University Press.

Story, A., Aldridge, R. W., Smith, C. M., Garber, E., Hall, J., Ferenando, G., ... & Hayward, A. C. (2019). Smartphone-enabled video-observed versus directly observed treatment for tuberculosis: a multicentre, analyst-blinded, randomised, controlled superiority trial. The Lancet, 393(10177), 1216-1224.

Bendiksen, R., Ovesen, T., Asfeldt, A. M., Halvorsen, D. S., & Gravningen, K. (2020). Use of video directly observed treatment for tuberculosis in Northern Norway. Tidsskrift for Den norske legeforening.

Ratchakit-Nedsuwan, R., Nedsuwan, S., Sawadna, V., Chaiyasirinroje, B., Bupachat, S., Ngamwithayapong-Yanai, J., ... & Mahasirimongkol, S. (2020). Ensuring tuberculosis treatment adherence with a mobile-based CARE-call system in Thailand: a pilot study. Infectious Diseases, 52(2), 121-129.

Ravenscroft, L., Kettle, S., Persian, R., Ruda, S., Severin, L., Doltu, S., ... & Loewenstein, G. (2020). Video-observed therapy and medication adherence for tuberculosis patients: randomised controlled trial in Moldova. European Respiratory Journal, 56(2).

McIntire, K., Weis, B., Litwin Ye, L., & Krugman, S. D. (2022). Feasibility of video observed therapy to support controller inhaler use among children in West Baltimore. Journal of Asthma, 59(10), 1961-1972.

Zhang, M., Wang, G., Najmi, H., Yaqoob, A., Li, T., Xia, Y., ... &st Li, Y. (2023). Digitizing tuberculosis treatment monitoring in Wuhan city, China, 2020–2021: Impact on medication adherence. Frontiers in Public Health, 11, 1033532.

Kumwichar, P., Chongsuvivatwong, V., & Prappre, T. (2022). Tuberculosis Treatment Compliance Under Smartphone-Based Video-Observed Therapy Versus Community-Based Directly Observed Therapy: Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols, 11(7), e38796.

Thomas, B. E., Kumar, J. V., Chiranjeevi, M., Shah, D., Khandewale, A., Haberer, J. E., ... & Subbaraman, R. (2019). Evaluation of the accuracy of 99DOTS, a novel cellphone-based strategy for monitoring adherence to tuberculosis medications. medRxiv, 19011197.

Thakkar, D., Piparva, K. G., & Lakkad, S. G. (2019). A pilot project: 99DOTS information communication technology-based approach for tuberculosis treatment in Rajkot district. Lung India : official organ of Indian Chest Society, 36(2), 108–111. https://doi.org/10.4103/lungindia.lungindia_86_18

Thekkur, P., Kumar, A. M., Chinnakali, P., Selvaraju, S., Bairy, R., Singh, A. R., ... & Shastri, S. (2019). Outcomes and implementation challenges of using daily treatment regimens with an innovative adherence support tool among HIV-infected tuberculosis patients in Karnataka, India: a mixed-methods study. Global health action, 12(1), 1568826.

Prajapati, A. C., Shah, T., Panchal, S., Joshi, B., Shringarpure, K., Jakasania, A., & Kathirvel, S. (2023). Treatment outcomes and associated factors among patients with drug-sensitive tuberculosis on daily fixed-dose combination drugs: A cohort study from Ahmedabad, India. Journal of Family Medicine and Primary Care, 12(3), 452.

Cattamanchi, A., Crowder, R., Kityamuwesi, A., Kiwanuka, N., Lamunu, M., Namale, C., ... & Katamba, A. (2021). Digital adherence technology for tuberculosis treatment supervision: A stepped-wedge cluster-randomized trial in Uganda. PLoS medicine, 18(5), e1003628.

Kiwanuka, N., Kityamuwesi, A., Crowder, R., Guzman, K., Berger, C., Lamunu, M., ... & Katamba, A. (2022). Implementation, feasibility, and acceptability of 99DOTS-based supervision of treatment for drug-susceptible TB in Uganda. medRxiv, 2022-10.

Leddy, A., Ggita, J., Berger, C. A., Kityamuwesi, A., Sanyu, A. N., Tinka, L. K., ... & Cattamanchi, A. (2023). Barriers and Facilitators to Implementing a Digital Adherence Technology for Tuberculosis Treatment Supervision in Uganda: Qualitative Study. Journal of Medical Internet Research, 25, e38828.

Villanueva, A., de Morales, M., Alacapa, J., & Powers, R. Digital Adherence Technology in Action: 99DOTS as a Platform for quality TB Treatment by Private Providers in the Philippines.

Bahrainwala, L., Knoblauch, A. M., Andriamiadanarivo, A., Diab, M. M., McKinney, J., Small, P. M., Kahn, J. G., Fair, E., Rakotosamimanana, N., & Grandjean Lapierre, S. (2020). Drones and digital adherence monitoring for community-based tuberculosis control in remote Madagascar: A cost-effectiveness analysis. PloS one, 15(7), e0235572. https://doi.org/10.1371/journal.pone.0235572

Nouvet, Elysée, Astrid M. Knoblauch, Ian Passe, Andry Andriamiadanarivo, Manualdo Ravelona, Faniry Ainanomena Ramtariharisoa, Kimmerling Razafimdriana et al. "Perceptions of drones, digital adherence monitoring technologies and educational videos for tuberculosis control in remote Madagascar: a mixed-method study protocol." BMJ open 9, no. 5 (2019): e028073.

Pudasaini, U. (2019). Drones optimized therapy system (DrOTS): use of drones for tuberculosis diagnosis in Nepal. International Journal of Human and Health Sciences (IJHHS), 14, S14.

Knoblauch, A. M., de la Rosa, S., Sherman, J., Blauvelt, C., Matemba, C., Maxim, L., ... & Lapierre, S. G. (2019). Bi-directional drones to strengthen healthcare provision: experiences and lessons from Madagascar, Malawi and Senegal. BMJ Global Health, 4(4), e001541.

Kale, E. D., & Pandin, M. G. R. (2021). Technology and its role in supporting Tuberculosis treatment adherence.

Liu, X., Blaschke, T., Thomas, B., De Geest, S., Jiang, S., Gao, Y., ... & Huan, S. (2017). Usability of a medication event reminder monitor system (MERM) by providers and patients to improve adherence in the management of tuberculosis. International journal of environmental research and public health, 14(10), 1115.

Thomas, B. E., Kumar, J. V., Murugesan Periyasamy, A. S., Khandewale, J., Raj, E. M., Kokila, S., ... & Subbaraman, R (2023). Evaluation of the Acceptability of the Medication Event Reminder Monitor for Promoting Adherence to Multidrug-Resistant Tuberculosis Therapy in India: Qualitative Study of Patients and Healthcare Providers.

Garrison, L. E., & Haberer, J. E. (2017). Technological methods to measure adherence to antiretroviral therapy and preexposure prophylaxis. Current Opinion in HIV and AIDS, 12(5), 467-474.

Drabarek, D., Anh, N. T., Nhung, N. V., Hoa, N. B., Fox, G. J., & Bernays, S. (2019). Implementation of Medication Event Reminder Monitors among patients diagnosed with drug susceptible tuberculosis in rural Viet Nam: A qualitative study. PLoS One, 14(7), e0219891.

Thomas, B. E., Kumar, J. V., Periyasamy, M., Khandewale, A. S., Hephzibah Mercy, J., Raj, E. M., ... & Subbaraman, R. (2021). Acceptability of the medication event reminder monitor for promoting adherence to multidrug-resistant tuberculosis therapy in two Indian cities: qualitative study of patients and health care providers. Journal of Medical Internet Research, 23(6), e23294.

Park, S., Sentissi, I., Gil, S. J., Park, W. S., Oh, B., Son, A. R., ... & Lee, S. H. (2019). Medication event monitoring system for infectious tuberculosis treatment in Morocco: a retrospective cohort study. International journal of environmental research and public health, 16(3), 412.

Iribarren, S. J., Milligan, H., Chirico, C., Goodwin, K., Schnall, R., Telles, H., ... & Demiris, G. (2022). Patient-centered mobile tuberculosis treatment support tools (TB-TSTs) to improve treatment adherence: A pilot randomized controlled trial exploring feasibility, acceptability and refinement needs. The Lancet Regional Health–Americas, 13.

Manyazewal, T., Woldeamanuel, Y., Holland, D. P., Fekadu, A., & Marconi, V. C. (2022). Effectiveness of a digital medication event reminder and monitor device for patients with tuberculosis (SELFTB): a multicenter randomized controlled trial. BMC medicine, 20(1), 310.

Manyazewal, T., Woldeamanuel, Y., Getinet, T., Hoover, A., Bobosha, K., Fuad, O., ... & Marconi, V. C. (2023). Patient-reported usability and satisfaction with electronic medication event reminder and monitor device for tuberculosis: A multicentre, randomised controlled trial. EClinicalMedicine, 56.

Velen, K., Nguyen, T. A., Pham, C. D., Le, H. T., Nguyen, H. B., Dao, B. T., ... & Fox, G. J. (2023). The effect of medication event reminder monitoring on treatment adherence of TB patients. The International Journal of Tuberculosis and Lung Disease, 27(4), 322-328.

Bala, S., Aravind, B. M., Kadas, S., Pandve, H., Shukla, S., Rajesham, A., & Arnipalli, H. (2023). Usability of medication event reminder monitoring system and other determinants to improve the adherence to anti-tuberculosis drugs among patients of tertiary care hospital, Hyderabad. BLDE University Journal of Health Sciences, 8(1), 42.

Vilyte, G., Fox, T., Rohwer, A. C., Volmink, J., & McCaul, M. (2023). Digital devices for tuberculosis treatment adherence. The Cochrane Database of Systematic Reviews, 2023(6), CD015709. https://doi.org/10.1002/14651858.CD015709.

Litvinova, O., Klager, E., Tzvetkov, N. T., Kimberger, O., Kletecka-Pulker, M., Willschke, H., & Atanasov, A. G. (2022). Digital pills with ingestible sensors: Patent landscape analysis. Pharmaceuticals, 15(8), 1025.

Vaz, C., Jose, N. K., Tom, J. J., Goodman, G. R., Lee, J. S., Padappayil, R. P., ... & Chai, P. R. (2022). Formative acceptance of ingestible biosensors to measure adherence to TB medications. BMC Infectious Diseases, 22(1), 754.

Tirdad, R., Nami, P., Samieyan, S., & Rahim, F. (2021). Intelligent Alarm System-Based Devices Designed for People with Disabilities, Caused by Various Chronic Diseases. Jundishapur Journal of Chronic Disease Care, 10(4).

Mason, Madilyn, Youmin Cho, Jessica Rayo, Yang Gong, Marcelline Harris, and Yun Jiang. "Technologies for medication adherence monitoring and technology assessment criteria: narrative review." JMIR mHealth and uHealth 10, no. 3 (2022): e35157.

Abdullateef, O. A., Otunola, A. O., Abdullateef, A. T., & Lawal, M. K. (2022). Digital Framework Strategy for Patient Medication Adherence and Improvement in Medical Healthcare Centre Offa, Kwara State. Asian Journal of Research in Computer Science, 14(2), 10-22.

Zijp, T. R., Touw, D. J., & van Boven, J. F. (2020). User acceptability and technical robustness evaluation of a novel smart pill bottle prototype designed to support medication adherence. Patient preference and adherence, 625-634.

Ghimire, S., Iskandar, D., van der Borg-Boekhout, R., Zenina, M., Bolhuis, M. S., Kerstjens, H. A., ... & Akkerman, O. W. (2022). Combining digital adherence technology and therapeutic drug monitoring for personalised tuberculosis care. European Respiratory Journal, 60(6).

Mauro, J., Mathews, K. B., & Sredzinski, E. S. (2019). Effect of a smart pill bottle and pharmacist intervention on medication adherence in patients with multiple myeloma new to lenalidomide therapy. Journal of Managed Care & Specialty Pharmacy, 25(11), 1244-1254.

Ellsworth, G. B., Burke, L. A., Wells, M. T., Mishra, S., Caffrey, M., Liddle, D., ... & Gulick, R. M. (2021). Randomized Pilot Study of an Advanced Smart Pill Bottle as an Adherence Intervention in Patients with HIV on Antiretroviral Treatment. Journal of acquired immune deficiency syndromes (1999), 86(1), 73.

Rice, D. R., Kaplan, T. B., Hotan, G. C., Vogel, A. C., Matiello, M., Gillani, R. L., ... & Mateen, F. J. (2021). Electronic pill bottles to monitor and promote medication adherence for people with multiple sclerosis: a randomized, virtual clinical trial. Journal of the Neurological Sciences, 428, 117612.

dos Santos, L. R. A., Bernardi, F. A., Prado, G. C. S., Lima, V. C., Crepaldi, N. Y., Marçal, M. A., ... & Alves, D. (2019). The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: A protocol proposal. Procedia Computer Science, 164, 595-601.

Patel, D., Berger, C. A., Kityamuwesi, A., Ggita, J., Tinka, L. K., Turimumahoro, P., ... & Sammann, A. (2020). Iterative adaptation of a tuberculosis digital medication adherence technology to meet user needs: qualitative study of patients and health care providers using human-centered design methods. JMIR formative research, 4(12), e19270.

Manyazewal, T., Woldeamanuel, Y., Holland, D. P., Fekadu, A., Blumberg, H. M., & Marconi, V. C. (2020). Electronic pillbox-enabled self-administered therapy versus standard directly observed therapy for tuberculosis medication adherence and treatment outcomes in Ethiopia (SELFTB): protocol for a multicenter randomized controlled trial. Trials, 21(1), 1-13.

Piña, I. L., Di Palo, K. E., Brown, M. T., Choudhry, N. K., Cvengros, J., Whalen, D., ... & Johnson, J. (2021). Medication adherence: importance, issues and policy: a policy statement from the American Heart Association. Progress in cardiovascular diseases, 64, 111-120.

Ngwatu, B. K., Nsengiyumva, N. P., Oxlade, O., Mappin-Kasirer, B., Nguyen, N. L., Jaramillo, E., ... & Schwartzman, K. (2018). The impact of digital health technologies on tuberculosis treatment: a systematic review. European Respiratory Journal, 51(1).

Lesnik, E., Osipov, T., & Malik, A. (2022). The advantages and challenges in the implementation of the video-observed anti-tuberculosis treatment. Arta Medica, 83(2), 22-27.

Ashok, M., Madan, R., Joha, A., & Sivarajah, U. (2022). Ethical framework for Artificial Intelligence and Digital technologies. International Journal of Information Management, 62, 102433.

Liu, X., Thompson, J., Dong, H., Sweeney, S., Li, X., Yuan, Y., Wang, X., He, W., Thomas, B., Xu, C., Hu, D., Vassall, A., Huan, S., Zhang, H., Jiang, S., Fielding, K., & Zhao, Y. (2023). Digital adherence technologies to improve tuberculosis treatment outcomes in China: a cluster-randomised superiority trial. The Lancet. Global health, 11(5), e693–e703. https://doi.org/10.1016/S2214-109X(23)00068-2

Kara, G. C., & Yalcin, B. M. (2022). Comparison of in-person vs. video directly observed therapy (VDOT) on stigma levels in tuberculosis patients. The Journal of the American Board of Family Medicine, 35(5), 951-960.

Stoumpos, A. I., Kitsios, F., & Talias, M. A. (2023). Digital Transformation in Healthcare: Technology Acceptance and Its Applications. International journal of environmental research and public health, 20(4), 3407. https://doi.org/10.3390/ijerph20043407

Sekandi, J. N., Buregyeya, E., Zalwango, S., Dobbin, K. K., Atuyambe, L., Nakkonde, D., ... & Garfein, R. S. (2020). Video directly observed therapy for supporting and monitoring adherence to tuberculosis treatment in Uganda: a pilot cohort study. ERJ open research, 6(1)...

.

Downloads

Published

2025-05-19

How to Cite

1.
Chauhan V, Verma S, Kumar Ray P, Kumar Mishra S, Chaturvedi P, Khatun A, Mishra A. Modern Digital Technologies for Monitoring Tuberculosis Adherence. J Neonatal Surg [Internet]. 2025May19 [cited 2025Sep.24];14(25S):276-91. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/6105

Most read articles by the same author(s)