Home / Current Issue / Paper 1709388
A Multi-Tier Distribution Model for Enhancing Last-Mile Delivery Efficiency in Rural Healthcare Logistics
Subject area: Science,Engineering and Technology · Area of research: Healthcare
Abstract
In rural healthcare systems, the efficiency and reliability of last-mile delivery for medical supplies are critical determinants of health outcomes, especially in geographically dispersed and resource-constrained areas. This paper presents a literature-based conceptual model for a multi-tier distribution strategy aimed at optimizing last-mile logistics in rural healthcare delivery. By synthesizing findings from over 100 peer-reviewed sources, the model incorporates factors such as transportation modes, hub-and-spoke infrastructure, stakeholder coordination, real-time tracking, and contextual customization. While no original data is collected, this study analyzes existing logistics frameworks, health supply chain challenges, and implementation case studies to propose a scalable, resilient model. The findings offer a strategic blueprint for policymakers and healthcare logistics managers to mitigate distribution bottlenecks and improve supply chain responsiveness in rural contexts.
Keywords
Rural Healthcare Logistics, Last-Mile Delivery, Multi-Tier Distribution Model, Health Supply Chains, Delivery Efficiency, Resource-Constrained Settings
References
[1] “Managing Commodity Stock‐outs in Public Health Supply Chains in Developing Countries: An Empirical Analysis - Amir Karimi, Anant Mishra, Karthik V. Natarajan, Kingshuk K. Sinha, 2021.” Accessed: Jun. 11, 2021. [Online]. Available: https://journals.sagepub.com/ poms.13420?casa_token=If37_SG0TLwAAA AA%3AagdXr_H8jlL3EBDuUWLE5XWM WmYBj3JNYJssttw9R9-OgctU- fNbvPpfw2DstOthBMZ_OLGdMCyV
[2] A. Pienaar, “Integrated logistics management,” Handbook of Global Supply Chain Management, pp. 169–184, Jan. 2007, 10.4135/9781412976169.N11.
[3] D. J. Flint and B. Gammelgaard, “Value and customer service management,” Handbook of Global Supply Chain Management, pp. 51–64, Jan. 2007,
[4] C. F. Lynch, T. P. Stank, and S. Scott, “Logistics outsourcing,” Handbook of Global Supply Chain Management, pp. 373–392, Jan. 2007,
[5] A. I. Daraojimba, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and E. Ogbuefi, “Systematic Review of Serverless Architectures and Business Process Optimization,” Iconic Research and Engineering Journals, vol. 4, no. 12, pp. 393– 418, 2021, [Online]. Available: https:///paper- details/1708517
[6] N. Hayatu, A. A. Abayomi, and A. C. Uzoka, “Advances in Managed Services Optimization for End-to-End Network Performance in High- Density Mobile Environment,” Iconic Research and Engineering Journals, vol. 3, no. 9, pp. 301–322, 2021, [Online]. Available: https:///paper- details/1708634
[7] N. Hayatu, A. A. Abayomi, and A. C. Uzoka, “Systematic Review of Cross -Border Collaboration in Telecom Projects Across Sub- Saharan Africa,” Iconic Research and Engineering Journals, vol. 4, no. 7, pp. 240– 267, 2021, [Online]. Available: https:///paper- details/1708633
[8] A. C. Uzoka, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and T. P. Gbenle, “Advances in Cloud Security Practices Using IAM, Encryption, and Compliance Automation,” Iconic Research and Engineering Journals, vol. 5, no. 5, pp. 432–456, 2021, [Online]. Available: https:///paper- details/1708519
[9] A. A. Abayomi, C. A. Mgbame, O. E. Akpe, E. Ogbuefi, and O. O. Adeyelu, “Advancing Equity Through Technology: Inclusive Design of Healthcare Analytics Platforms for Healthcare,” Healthcare Analytics, vol. 45, no. 45 SP 45–45, 2021, [Online]. Available: https:///paper- details/1708220
[10] O. E. Akpe, C. A. Mgbame, E. Ogbuefi, A. A. Abayomi, and O. O. Adeyelu, “Bridging the Healthcare Intelligence Gap in Healthcare Enterprises: A Conceptual Framework for Scalable Adoption,” Healthcare Analytics, vol. 45, no. 45 SP 45–45, 2021, [Online]. Available: https:///paper- details/1708222
[11] E. C. Chianumba, N. Ikhalea, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika, “A conceptual framework for leveraging big data and AI in enhancing healthcare delivery and public health policy,” IRE Journals, vol. 5, no. 6, pp. 303–310, 2021.
[12] M. Muthuppalaniappan and K. Stevenson, “Healthcare cyber-attacks and the COVID-19 pandemic: An urgent threat to global health,” International Journal for Quality in Health Care, vol. 33, no. 1, 2021, 10.1093/INTQHC/MZAA117.
[13] A. T. Gebremeskel, A. Otu, S. Abimbola, and S. Yaya, “Building resilient health systems in Africa beyond the COVID-19 pandemic response,” BMJ Glob Health, vol. 6, no. 6, Jun. 2021,
[14] C. A. Mgbame, O. E. Akpe, A. A. Abayomi, E. Ogbuefi, and O. O. Adeyelu, “Barriers and Enablers of Healthcare Analytics Tool Implementation in Underserved Healthcare Communities,” Healthcare Analytics, vol. 45, no. 45 SP 45–45, 2020, [Online]. Available: https:///paper- details/1708221
[15] J. C. Ogeawuchi, A. C. Uzoka, A. A. Abayomi, O. A. Agboola, and P. Gbenle, “Innovations in Data Modeling and Transformation for Scalable Healthcare Intelligence on Modern Cloud Platforms,” Healthcare Analytics, vol. 45, no. 45 SP 45–45, 2021, [Online]. Available: https:///paper- details/1708319
[16] O. E. Akpe, J. C. Ogeawuchi, A. A. Abayomi, and O. A. Agboola, “Advances in Stakeholder- Centric Product Lifecycle Management for Complex, Multi-Stakeholder Energy Program Ecosystems,” Healthcare Analytics, vol. 45, no. 45 SP 45–45, 2021, [Online]. Available: https:///paper- details/1708349
[17] “Sustainable Production,” Encyclopedia of Geography, 2010, 10.4135/9781412939591.N1113.
[18] J. Yeung, X. Zhao, and K. Lam, “DCH Logistics – Planning for La Cafetière,” DCH Logistics – Planning for La Cafetière, Jan. 2019,
[19] A. Odeshina, O. Reis, F. Okpeke, V. Attipoe, and O. Orieno, “Project Management Innovations for Strengthening Cybersecurity Compliance across Complex Enterprises,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, pp. 871–881, 2021, [Online]. Available: https://www.researchgate.net/publication/3906 95420
[20] O. E. Akpe, A. C. Mgbame, E. Ogbuefi, A. A. Abayomi, and O. O. Adeyelu, “Bridging the Business Intelligence Gap in Small Enterprises: A Conceptual Framework for Scalable Adoption,” Iconic Research and Engineering Journals, vol. 5, no. 5, pp. 416– 431, 2021, [Online]. Available: https:///paper- details/1708222
[21] A. Y. Onifade, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and O. O. George, “Advances in Multi-Channel Attribution Modeling for Enhancing Marketing ROI in Emerging Economies,” Iconic Research and Engineering Journals, vol. 5, no. 6, pp. 360– 376, 2021, [Online]. Available: https:///paper- details/1708473
[22] O. M. Oluoha, A. Odeshina, O. Reis, F. Okpeke, V. Attipoe, and O. Orieno, “Development of a Compliance-Driven Identity Governance Model for Enhancing Enterprise Information Security,” Iconic Research and Engineering Journals, vol. 4, no. 11, pp. 310–324, 2021, [Online]. Available: https:///paper- details/1702715
[23] O. E. Adesemoye, E. C. Chukwuma-Eke, C. I. Lawal, N. J. Isibor, A. O. Akintobi, and F. S. Ezeh, “Improving financial forecasting accuracy through advanced data visualization techniques,” IRE Journals, vol. 4, no. 10, pp. 275–277, 2021, [Online]. Available: https://irejournals.com/paper-details/1708078
[24] I. N. Dienagha, F. O. Onyeke, W. N. Digitemie, and M. A. Adewoyin, “Strategic reviews of greenfield gas projects in Africa: Lessons learned for expanding regional energy infrastructure and security,” GSC Advanced Research and Reviews, vol. 8, no. 01, pp. 187– 195, 2021.
[25] M. A. Adewoyin, “Developing frameworks for managing low-carbon energy transitions: overcoming barriers to implementation in the oil and gas industry,” Magna Scientia Advanced Research and Reviews, vol. 1, no. 03, pp. 068–075, 2021.
[26] J. Sarkis, “Environmental Supply Chain Management,” 21st Century Management: A Reference Handbook, pp. I-281-I–293, May 2012,
[27] B. I. Adekunle, E. C. Chukwuma-Eke, E. D. Balogun, and K. O. Ogunsola, “A predictive modeling approach to optimizing business operations: A case study on reducing operational inefficiencies through machine learning,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, p. 21, 2021.
[28] O. E. Akpe, A. C. Mgbame, E. Ogbuefi, A. A. Abayomi, and O. O. Adeyelu, “Bridging the business intelligence gap in small enterprises: A conceptual framework for scalable adoption,” Iconic Research and Engineering Journals, vol. 5, no. 5, pp. 416–431, 2021, [Online]. Available: https:///paper- details/1708222
[29] A. A. Abayomi, A. C. Mgbame, O. E. Akpe, E. Ogbuefi, and O. O. Adeyelu, “Advancing equity through technology: Inclusive design of BI platforms for small businesses,” Iconic Research and Engineering Journals, vol. 5, no. 4, pp. 235–241, 2021, [Online]. Available: https:///paper- details/1708220
[30] E. C. Chianumba, N. Ikhalea, A. Y. Mustapha, A. Y. Forkuo, and D. Osamika, “A conceptual framework for leveraging big data and AI in enhancing healthcare delivery and public health policy,” IRE Journals, vol. 5, no. 6, pp. 303–310, 2021.
[31] E. O. Alonge, N. L. Eyo-Udo, C. B. Ubamadu, and A. I. Daraojimba, “Digital Transformation in Retail Banking to Enhance Customer Experience and Profitability,” vol. 1, 2021.
[32] I. Sadler, “International Logistics (with David Taylor),” Logistics and Supply Chain Integration, pp. 99–123, May 2012, 10.4135/9781446214312.N4.
[33] A. Y. Mustapha, E. C. Chianumba, A. Y. Forkuo, D. Osamika, and L. S. Komi, “Systematic Review of Digital Maternal Health Education Interventions in Low-Infrastructure Environments,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, 2021.
[34] L. S. Komi, E. C. Chianumba, A. Yeboah, D. O. Forkuo, and A. Y. Mustapha, “A Conceptual Framework for Telehealth Integration in Conflict Zones and Post-Disaster Public Health Responses,” 2021.
[35] V. Sharma, D. De Beni, A. Sachs Robertson, and F. Maurizio, “Why the Promotion of Family Planning Makes More Sense Now Than Ever Before?,” J Health Manag, vol. 22, no. 2, pp. 206–214, Jun. 2020, 10.1177/0972063420935545.
[36] J. P. Rodrigue, B. Slack, and C. Comtois, “Green supply chain management,” The SAGE Handbook of Transport Studies, pp. 427–438, Jan. 2013,
[37] E. C. Chukwuma-Eke, O. Y. Ogunsola, and N. J. Isibor, “Designing a robust cost allocation framework for energy corporations using SAP for improved financial performance,” International Journal of Multidisciplinary Research and Growth Evaluation, 2021.
[38] E. C. Chukwuma-Eke, O. Y. Ogunsola, and N. J. Isibor, “Designing a robust cost allocation framework for energy corporations using SAP for improved financial performance,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, p. 21, 2021.
[39] D. Allington, B. Duffy, S. Wessely, N. Dhavan, and J. Rubin, “Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency,” Psychol Med, vol. 51, no. 10, pp. 1763–1769, Jul. 2021, 10.1017/S003329172000224X.
[40] I. A. Omar, R. Jayaraman, M. S. Debe, K. Salah, I. Yaqoob, and M. Omar, “Automating Procurement Contracts in the Healthcare Supply Chain Using Blockchain Smart Contracts,” IEEE Access, vol. 9, pp. 37397– 37409, 2021, 10.1109/ACCESS.2021.3062471.
[41] L. S. Komi, E. C. Chianumba, A. Yeboah, D. O. Forkuo, and A. Y. Mustapha, “Advances in Community-Led Digital Health Strategies for Expanding Access in Rural and Underserved Populations,” 2021.
[42] A. Fayoumi and R. Williams, “An integrated socio-technical enterprise modelling: A scenario of healthcare system analysis and design,” J Ind Inf Integr, vol. 23, p. 100221, Sep. 2021,
[43] O. P. Nagitta, M. Mkansi, S. D. Nyesiga, and G. W. Kajjumba, “A structural equation modeling of supply chain strategies for artemisinin-based combination therapies in Uganda,” Medicine Access @ Point of Care, vol. 5, p. 239920262110647, Jan. 2021, 10.1177/23992026211064711.
[44] O. E. Akpe, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and E. Ogbuefi, “A Conceptual Framework for Strategic Business Planning in Digitally Transformed Organizations,” Iconic Research And Engineering Journals, vol. 4, no. 4, pp. 207–222, 2020, [Online]. Available: https:///paper- details/1708525
[45] T. P. Gbenle, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and A. C. Uzoka, “Advances in Cloud Infrastructure Deployment Using AWS Services for Small and Medium Enterprises,” Iconic Research And Engineering Journals, vol. 3, no. 11, pp. 365–381, 2020, [Online]. Available: https:///paper- details/1708522
[46] B. I. Ashiedu, E. Ogbuefi, U. S. Nwabekee, J. C. Ogeawuchi, and A. A. Abayomi, “Developing Financial Due Diligence Frameworks for Mergers and Acquisitions in Emerging Telecom Markets,” Iconic Research And Engineering Journals, vol. 4, no. 1, pp. 183–196, 2020, [Online]. Available: https:///paper- details/1708562
[47] T. P. Gbenle, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and A. C. Uzoka, “Advances in Cloud Infrastructure Deployment Using AWS Services for Small and Medium Enterprises,” Iconic Research and Engineering Journals, vol. 3, no. 11, pp. 365–381, 2020, [Online]. Available: https:///paper- details/1708522
[48] B. I. Adekunle, E. C. Chukwuma-Eke, E. D. Balogun, and K. O. Ogunsola, “Predictive Analytics for Demand Forecasting: Enhancing Business Resource Allocation Through Time Series Models,” Journal of Frontiers in Multidisciplinary Research, vol. 2, no. 01, pp. 32–42, 2021.
[49] S. Pohit, D. B. Gupta, D. Pratap, and S. Malik, “Survey of Literature on Measuring Logistics Cost: A Developing Country’s Perspective,” Journal of Asian Economic Integration, vol. 1, no. 2, pp. 260–282, Sep. 2019, 10.1177/2631684619883041.
[50] K. Wager, F. Lee, and J. Glaser, Health care information systems: a practical approach for health care management. 2021. Accessed: Jun. 05, 2025. [Online]. Available: https://books.google.com/books?hl=en&lr=&i d=io1SEAAAQBAJ&oi=fnd&pg=PR15&dq= clinical+governance,+health+information+ma nagement,+interoperability,+hospital+strategy ,+data+standards,+patient+safety&ots=X6Jolq 659a&sig=FLKutOlNDz8- HF21DSVm9autZKk
[51] T. Kemp et al., “Exploring the research culture in the health information management profession in Australia,” Health Info Libr J, vol. 37, no. 1, pp. 60–69, Mar. 2020, 10.1111/HIR.12281.
[52] A. S. Ogunmokun, E. D. Balogun, and K. O. Ogunsola, “A Conceptual Framework for AI- Driven Financial Risk Management and Corporate Governance Optimization,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, 2021.
[53] A. Odeshina, O. Reis, F. Okpeke, V. Attipoe, and O. H. Orieno, “Project Management Innovations for Strengthening Cybersecurity Compliance across Complex Enterprises,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, pp. 871–881, 2021, [Online]. Available: https://www.researchgate.net/publication/3906 95420
[54] D. Damtew, F. Worku, Y. Tesfaye, and A. Jemal, “Availability of Lifesaving Maternal and Child Health Commodities and Associated Factors in Public and Private Health Facilities of Addis Ababa, Ethiopia,” Health Serv Res Manag Epidemiol, vol. 6, p. 233339281989235, Jan. 2019, 10.1177/2333392819892350.
[55] M. Hesse, “Freight distribution centres, freight clusters and logistics parks,” The SAGE Handbook of Transport Studies, pp. 161–178, Jan. 2013,
[56] E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, E. D. Balogun, and K. O. Ogunsola, “Real-time data analytics for enhancing supply chain efficiency,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, no. 1, pp. 759 –771, 2021, 10.54660/.IJMRGE.2021.2.1.759-771.
[57] A. Franklin et al., “Dashboard visualizations: Supporting real-time throughput decision- making,” J Biomed Inform, vol. 71, pp. 211– 221, Jul. 2017, 10.1016/J.JBI.2017.05.024.
[58] P. Yadav, P. Lydon, J. Oswald, M. Dicko, and M. Zaffran, “Integration of vaccine supply chains with other health commodity supply chains: A framework for decision making,” Vaccine, vol. 32, no. 50, pp. 6725–6732, Nov. 2014,
[59] N. J. Isibor, C. P. M. Ewim, A. I. Ibeh, E. M. Adaga, N. J. Sam-Bulya, and G. O. Achumie, “A generalizable social media utilization framework for entrepreneurs: Enhancing digital branding, customer engagement, and growth,” International Journal of Multidisciplinary Research and Growth Evaluation, 2021.
[60] A. Gettinger and A. Csatari, “Transitioning from a legacy EHR to a commercial, vendor- supplied, EHR: One academic health system’s experience,” Appl Clin Inform, vol. 3, no. 4, pp. 367–376, 2012, 0014.
[61] A. Goudie et al., “Higher Rates of Preventive Health Care with Commercial Insurance Compared with Medicaid: Findings from the Arkansas Health Care Independence ‘private Option’ Program,” Med Care, vol. 58, no. 2, pp. 120–127, Feb. 2020, 10.1097/MLR.0000000000001248.
[62] M. Vledder, J. Friedman, M. Sjöblom, T. Brown, and P. Yadav, “Improving Supply Chain for Essential Drugs in Low-Income Countries: Results from a Large Scale Randomized Experiment in Zambia,” Health Syst Reform, vol. 5, no. 2, pp. 158–177, Apr. 2019,
[63] A. Karimi, A. Mishra, K. V. Natarajan, and K. K. Sinha, “Managing Commodity Stock-outs in Public Health Supply Chains in Developing Countries: An Empirical Analysis,” Prod Oper Manag, vol. 30, no. 9, pp. 3116–3142, Sep. 2021, 10.1111/POMS.13420/SUPPL_FILE/SJ-PDF- 1-PAO-10.1111_POMS.13420.PDF.
[64] E. C. Onukwulu, I. N. Dienagha, W. N. Digitemie, and P. I. Egbumokei, “Predictive Analytics for Mitigating Supply Chain Disruptions in Energy Operations,” Iconic Research and Engineering Journals, vol. 5, no. 3, pp. 256–282, 2021.
[65] E. C. Onukwulu, I. N. Dienagha, W. N. Digitemie, and P. I. Egbumokei, “Framework for Decentralized Energy Supply Chains Using Blockchain and IoT Technologies,” Iconic Research and Engineering Journals, vol. 4, no. 12, pp. 329–354, 2021.
[66] I. T. Adeleke, Q. B. Suleiman-Abdul, A. Aliyu, I. A. Ishaq, and R. A. Adio, “Deploying unqualified personnel in health records practice: Role substitution or quackery? Implications for health services delivery in Nigeria,” Health Information Management Journal, vol. 48, no. 3, pp. 152–156, Sep. 2019,
[67] Abba Adam, Norhayati Zakuan, Salisu Alh. Uba Ado A. Bichi. Usman Shettima, Saif, Ali M., and Rajeh Bati Almasradi, “Supply Chain Sustainability Practices of Oil Servicing Firms in the Downstream Sector of Nigeria’s Oil and Gas Industry,” Journal of Economic Info, vol. 6, no. 4, pp. 11–14, Nov. 2019, 10.31580/JEI.V6I4.1031.
[68] B. Nuche-Berenguer and L. E. Kupfer, “Readiness of Sub-Saharan Africa Healthcare Systems for the New Pandemic, Diabetes: A Systematic Review,” J Diabetes Res, vol. 2018, 2018,
[69] F. Odekunle, R. Odekunle, and S. Shankar, “Why sub-Saharan Africa lags in electronic health record adoption and possible strategies to increase its adoption in this region,” Int J Health Sci (Qassim), vol. 11, no. 4, 2017.
[70] N. Hayatu, A. A. Abayomi, and A. C. Uzoka, “Systematic Review of Cross -Border Collaboration in Telecom Projects Across Sub- Saharan Africa,” Iconic Research And Engineering Journals, vol. 4, no. 7, pp. 240– 267, 2021, [Online]. Available: https:///paper- details/1708633
[71] S. Yusif, A. Hafeez-Baig, and J. Soar, “An exploratory study of the readiness of public healthcare facilities in developing countries to adopt health information technology (HIT)/e- Health: the case of,” Springer, vol. 4, no. 2, pp. 189–214, Jun. 2020, 00070-8.
[72] N. P. Terry, “Mobile health: Assessing the barriers,” Chest, vol. 147, no. 5, pp. 1429– 1434, May 2015,
[73] B. I. Adekunle, E. C. Chukwuma-Eke, E. D. Balogun, and K. O. Ogunsola, “A predictive modeling approach to optimizing business operations: A case study on reducing operational inefficiencies through machine learning,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, 2021.
[74] E. O. Alonge, N. L. Eyo-Udo, C. B. Ubamadu, and A. I. Daraojimba, “Digital Transformation in Retail Banking to Enhance Customer Experience and Profitability,” vol. 1, 2021.
[75] E. D. Balogun, K. O. Ogunsola, and A. Samuel, “A Risk Intelligence Framework for Detecting and Preventing Financial Fraud in Digital Marketplaces,” ICONIC RESEARCH AND ENGINEERING JOURNALS, vol. 4, no. 08, pp. 134–149, 2021.
[76] B. I. Adekunle, E. C. Chukwuma-Eke, E. D. Balogun, and K. O. Ogunsola, “Machine learning for automation: Developing data- driven solutions for process optimization and accuracy improvement,” Mach Learn, vol. 2, no. 1, p. 18, 2021.
[77] E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, and E. D. Balogun, “Enhancing data security with machine learning: A study on fraud detection algorithms,” Journal of Data Security and Fraud Prevention, vol. 7, no. 2, pp. 105–118, 2021.
[78] I. Shaanika and T. Iyamu, “Deployment of enterprise architecture in the Namibian Government: The use of activity theory to examine the influencing factors,” Electronic Journal of Information Systems in Developing Countries, vol. 71, no. 1, pp. 1–21, Nov. 2015,
[79] V. Khatri and C. V. Brown, “Designing data governance,” Commun ACM, vol. 53, no. 1, pp. 148–152, Jan. 2010, 10.1145/1629175.1629210.
[80] K. O. Ogunsola, E. D. Balogun, and A. S. Ogunmokun, “Enhancing financial integrity through an advanced internal audit risk assessment and governance model,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, p. 21, 2021.
[81] O. M. Oluoha, A. Odeshina, O. Reis, F. Okpeke, V. Attipoe, and O. H. Orieno, “Development of a Compliance-Driven Identity Governance Model for Enhancing Enterprise Information Security,” Iconic Research and Engineering Journals, vol. 4, no. 11, pp. 310–324, 2021, [Online]. Available: https:///paper- details/1702715
[82] R. Crichton, D. Moodley, A. Pillay, R. Gakuba, and C. J. Seebregts, “An architecture and reference implementation of an open health information mediator: Enabling interoperability in the Rwandan health information exchange,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7789 LNCS, pp. 87–104, 2013, 3_6.
[83] B. Panda and H. P. Thakur, “Decentralization and health system performance - a focused review of dimensions, difficulties, and derivatives in India,” BMC Health Serv Res, vol. 16, pp. 1–14, Oct. 2016, 10.1186/S12913-016-1784-9.
[84] A. Kaushik and A. Raman, “The new data- driven enterprise architecture for e-healthcare: Lessons from the indian public sector,” Gov Inf Q, vol. 32, no. 1, pp. 63–74, 2015, 10.1016/J.GIQ.2014.11.002.
[85] L. Kapiriri and P. Chanda-Kapata, “The quest for a framework for sustainable and institutionalised priority-setting for health research in a low-resource setting: The case of Zambia,” Health Res Policy Syst, vol. 16, no. 1, Feb. 2018,
[86] E. C. Chukwuma-Eke, O. Y. Ogunsola, and N. J. Isibor, “Designing a robust cost allocation framework for energy corporations using SAP for improved financial performance,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, 2021.
[87] E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, E. D. Balogun, and K. O. Ogunsola, “Enhancing data security with machine learning: A study on fraud detection algorithms,” Journal of Frontiers in Multidisciplinary Research, vol. 2, no. 1, pp. 19–31, 2021, 10.54660/.IJFMR.2021.2.1.19-31.
[88] A. Ifesinachi Daraojimba, F. Uche Ojika, W. Oseremen Owobu, O. Anthony Abieba, O. Janet Esan, and B. Chibunna Ubamadu, “A Conceptual Framework for AI-Driven Digital Transformation: Leveraging NLP and Machine Learning for Enhanced Data Flow in Retail Operations,” 2021. [Online]. Available: https://www.researchgate.net/publication/3909 28712
[89] N. J. Isibor, C. Paul-Mikki Ewim, A. I. Ibeh, E. M. Adaga, N. J. Sam-Bulya, and G. O. Achumie, “A Generalizable Social Media Utilization Framework for Entrepreneurs: Enhancing Digital Branding, Customer Engagement, and Growth,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, no. 1, pp. 751–758, 2021, 758.
[90] E. Balogun, A. S. Ogunmokun, E. Damilare Balogun, and K. Olusola Ogunsola, “A Risk Intelligence Framework for Detecting and Preventing Financial Fraud in Digital Marketplaces,” 2021. [Online]. Available: https://www.researchgate.net/publication/3903 03162
[91] A. Ifesinachi Daraojimba, F. Uche Ojika, W. Oseremen Owobu, O. Anthony Abieba, O. Janet Esan, and B. Chibunna Ubamadu, “Optimizing AI Models for Cross-Functional Collaboration: A Framework for Improving Product Roadmap Execution in Agile Teams,” 2021. [On line]. Available: https://www.researchgate.net/publication/3909 28998
[92] B. I. Adekunle, E. C. Chukwuma-Eke, E. D. Balogun, and K. O. Ogunsola, “Machine learning for automation: Developing data- driven solutions for process optimization and accuracy improvement,” Mach Learn, vol. 2, no. 1, 2021.
[93] E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, and E. D. Balogun, “Enhancing data security with machine learning: A study on fraud detection algorithms,” Journal of Data Security and Fraud Prevention, vol. 7, no. 2, pp. 105–118, 2021.
[94] E. O. Alonge, N. L. Eyo-Udo, B. C. Ubanadu, A. I. Daraojimba, and E. D. Balogun, “The role of business analytics in enhancing revenue optimization and competitive advantage in e- commerce,” 2021.
[95] Y. G. Hassan, A. Collins, G. O. Babatunde, A. A. Alabi, and S. D. Mustapha, “AI-driven intrusion detection and threat modeling to prevent unauthorized access in smart manufacturing networks,” Artif Intell, vol. 16, 2021.
[96] E. D. Balogun, K. O. Ogunsola, and A. S. Ogunmokun, “A risk intelligence framework for detecting and preventing financial fraud in digital marketplaces,” ICONIC RESEARCH AND ENGINEERING JOURNALS , vol. 4, no. 08, pp. 134–149, 2021.
[97] Ajiga and D. I, “Strategic framework for leveraging artificial intelligence to improve financial reporting accuracy and restore public trust,” I. (2021). Strategic framework for leveraging artificial intelligence to improve financial reporting accuracy and restore public trust. International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2021), 2021.
[98] S. Katuu, “Healthcare systems: typologies, framework models, and South Africa’s health sector,” International Journal of Health Governance, vol. 23, no. 2, pp. 134–148, May 2018,
[99] A. Coleman, M. E. Herselman, and D. Potass, “E-health readiness assessment for e-health framework for Africa: A case study of hospitals in South Africa,” Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 91 LNICST, pp. 162 –169, 2012, 10.1007/978-3-642-29262-0_24.
[100] L. E. Penrod, “Electronic Health Record Transition Considerations,” PM and R, vol. 9, no. 5, pp. S13–S18, May 2017, 10.1016/J.PMRJ.2017.01.009.
[101] S. Mills, “Electronic Health Records and Use of Clinical Decision Support,” Crit Care Nurs Clin North Am, vol. 31, no. 2, pp. 125–131, Jun. 2019,
[102] G. B. Melton, C. J. McDonald, P. C. Tang, and G. Hripcsak, “Electronic health records,” Biomedical Informatics: Computer Applications in Health Care and Biomedicine: Fifth Edition, pp. 467–509, Jul. 2021, 10.1007/978-3-030-58721-5_14.
[103] O. E. Akpe, J. C. Ogeawuchi, A. A. Abayomi, O. A. Agboola, and E. Ogbuefi, “Systematic Review of Last-Mile Delivery Optimization and Procurement Efficiency in African Logistics Ecosystems,” Iconic Research and Engineering Journals, vol. 5, no. 6, pp. 377– 388, 2021, [Online]. Available: https:///paper- details/1708521
[104] L. S. Komi, E. C. Chianumba, A. Yeboah, D. O. Forkuo, and A. Y. Mustapha, “Advances in Public Health Outreach Through Mobile Clinics and Faith-Based Community Engagement in Africa,” 2021.
How to cite this paper
@article{1709388,
author = {Michael Aduojo Amuta, Muridzo Muonde, Ashiata Yetunde Mustapha, Akachukwu Obianuju Mbata},
title = {A Multi-Tier Distribution Model for Enhancing Last-Mile Delivery Efficiency in Rural Healthcare Logistics},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {4},
number = {9},
pages = {345-361},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709388.pdf},
abstract = {In rural healthcare systems, the efficiency and reliability of last-mile delivery for medical supplies are critical determinants of health outcomes, especially in geographically dispersed and resource-constrained areas. This paper presents a literature-based conceptual model for a multi-tier distribution strategy aimed at optimizing last-mile logistics in rural healthcare delivery. By synthesizing findings from over 100 peer-reviewed sources, the model incorporates factors such as transportation modes, hub-and-spoke infrastructure, stakeholder coordination, real-time tracking, and contextual customization. While no original data is collected, this study analyzes existing logistics frameworks, health supply chain challenges, and implementation case studies to propose a scalable, resilient model. The findings offer a strategic blueprint for policymakers and healthcare logistics managers to mitigate distribution bottlenecks and improve supply chain responsiveness in rural contexts.},
keywords = {Rural Healthcare Logistics, Last-Mile Delivery, Multi-Tier Distribution Model, Health Supply Chains, Delivery Efficiency, Resource-Constrained Settings},
month = {March},
}