The Community Health Sentinel Network: A Narrative Review of Deploying Aides and Mobile Technology for Early Outbreak Detection and Chronic Disease Management

Saleh Nasser Saeed Al-Qahtani (1) , Abdullah Jufayn Eid Alqahtani (2) , Moteb Mohammed Misfer Alkhathami (2) , Yousef Mohammed Shudayyid Alharbi (3) , Solamin Al-Humaidi Al-Harbi (4) , Mansoor Mohammed Alharbi (5) , Faris Farraj Hezam Alotaibi (6) , Abdulhakim Salman Alsulayih (7) , Faisal Shadid Dhaif Allah Almutairi (8) , Meshari Shadid Dhaif Allah Al-Mutairi (9) , Mohammad Abdullah M Alrehaili (10) , Mohammed Shtaiwi Alhawaiti (11)
(1) Ahad Rufaidah Hospital,Ministry of Health, Saudi Arabia,
(2) Thilith General Hospital,Ministry of Health, Saudi Arabia,
(3) Qusayybah General Hospital, Al-Qassim Health Cluster,Ministry of Health, Saudi Arabia,
(4) Shari Health Center, Al-Qassim Health Cluster,Ministry of Health, Saudi Arabia,
(5) Qusayybah Hospital,Ministry of Health, Saudi Arabia,
(6) Imam Abdulrahman Al-Faisal Hospital,Ministry of Health, Saudi Arabia,
(7) King Salman Hospital, Riyadh – First Health Cluster, Ministry of Health, Saudi Arabia,
(8) Al-Muzahmiyah General Hospital – First Health Cluster, Ministry of Health,, Saudi Arabia,
(9) King Salman Bin Abdulaziz Hospital, Riyadh – First Health Cluster,Ministry of Health, Saudi Arabia,
(10) Al-Qawara General Hospital, Qassim, Ministry of Health, Saudi Arabia,
(11) Ashwaq General Hospital, Ministry of Health, Saudi Arabia

Abstract

Background: Persistent gaps in healthcare access in underserved and remote regions hinder timely disease detection and chronic disease control, undermining both individual and public health. Bridging this gap requires innovative models that extend surveillance and care beyond traditional clinical walls. Aim: This narrative review analyzes models for deploying community health aides/assistants, equipped with simple diagnostic tools and connected platforms, as an integrated extension of public health surveillance and primary care. Methods: A comprehensive search of PubMed, CINAHL, Global Health, and IEEE Xplore (2010-2024) was conducted, integrating literature on community health workers, mHealth, point-of-care testing, and health systems strengthening. Results: Evidence supports the viability of trained aides as effective "community sentinels." When supported by mobile health (mHealth) platforms for data transmission, clinical decision support, and supervisory oversight from nursing/administrative hubs, these networks can improve syndromic reporting for outbreaks, enhance management of hypertension and diabetes, and increase healthcare system reach. Key challenges include sustainable financing, data security, and integration with formal health records. Conclusion: Aide-led, technology-enabled sentinel networks represent a transformative, people-centered model for decentralized health intelligence and care delivery, effectively merging frontline public health and primary care functions.

Full text article

Generated from XML file

References

Adams, L. B., Richmond, J., Watson, S. N., Cené, C. W., Urrutia, R., Ataga, O., ... & Corbie-Smith, G. (2021). Community health worker training curricula and intervention outcomes in African American and Latinx communities: a systematic review. Health Education & Behavior, 48(4), 516-531. https://doi.org/10.1177/1090198120959326

Agarwal, S., Perry, H. B., Long, L. A., & Labrique, A. B. (2015). Evidence on feasibility and effective use of mH ealth strategies by frontline health workers in developing countries: systematic review. Tropical medicine & international health, 20(8), 1003-1014. https://doi.org/10.1111/tmi.12525

Anand, T. N., Joseph, L. M., Geetha, A. V., Prabhakaran, D., & Jeemon, P. (2019). Task sharing with non-physician health-care workers for management of blood pressure in low-income and middle-income countries: a systematic review and meta-analysis. The Lancet Global Health, 7(6), e761-e771. https://doi.org/10.1016/S2214-109X(19)30077-4

Ballard, M., Olaniran, A., Iberico, M., Rogers, A., Thapa, A., Cook, J., ... & Perry, H. Community Service or Labour Exploitation? A Systematic Review of'Dual Cadre'Community Health Worker Programmes. https://doi.org/10.1016/S2214-109X(23)00357-1

Braun, R., Catalani, C., Wimbush, J., & Israelski, D. (2013). Community health workers and mobile technology: a systematic review of the literature. PloS one, 8(6), e65772. https://doi.org/10.1371/journal.pone.0065772

Buss, V. H., Deeks, L. S., Shield, A., Kosari, S., & Naunton, M. (2019). Analytical quality and effectiveness of point-of-care testing in community pharmacies: a systematic literature review. Research in Social and Administrative Pharmacy, 15(5), 483-495. https://doi.org/10.1016/j.sapharm.2018.07.013

DeRenzi, B., Findlater, L., Payne, J., Birnbaum, B., Mangilima, J., Parikh, T., ... & Lesh, N. (2012, March). Improving community health worker performance through automated SMS. In Proceedings of the fifth international conference on information and communication technologies and development (pp. 25-34). https://doi.org/10.1145/2160673.2160677

Emmanuel, G., Hungilo, G. G., & Emanuel, A. W. R. (2019, April). A mobile application system for community health workers-A review. In Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence (pp. 106-110). https://doi.org/10.1145/3330482.3330485

Fischer, H. H., Moore, S. L., Ginosar, D., Davidson, A. J., Rice-Peterson, C. M., Durfee, M. J., ... & Steele, A. W. (2012). Care by cell phone: text messaging for chronic disease management. The American journal of managed care, 18(2), e42-7.

Gadsden, T., Mabunda, S. A., Palagyi, A., Maharani, A., Sujarwoto, S., Baddeley, M., & Jan, S. (2021). Performance-based incentives and community health workers’ outputs, a systematic review. Bulletin of the World Health Organization, 99(11), 805. https://doi.org/10.2471/BLT.20.285218

Ghani, Z., Jarl, J., Sanmartin Berglund, J., Andersson, M., & Anderberg, P. (2020). The cost-effectiveness of mobile health (mHealth) interventions for older adults: systematic review. International journal of environmental research and public health, 17(15), 5290. https://doi.org/10.3390/ijerph17155290

Greuel, M., Sy, F., Baernighausen, T., Adam, M., Vandormael, A., Gates, J., & Harling, G. (2023). Community health worker use of smart devices for health promotion: scoping review. JMIR mHealth and uHealth, 11, e42023. https://doi.org/10.2196/42023

Hopkins, H., Bruxvoort, K. J., Cairns, M. E., Chandler, C. I., Leurent, B., Ansah, E. K., ... & Whitty, C. J. (2017). Impact of introduction of rapid diagnostic tests for malaria on antibiotic prescribing: analysis of observational and randomised studies in public and private healthcare settings. bmj, 356. https://doi.org/10.1136/bmj.j1054

Hunter, L. D., Pecoraro, A. J., Doubell, A. F., Monaghan, M. J., Lloyd, G. W., Lombard, C. J., & Herbst, P. G. (2021). Screening for subclinical rheumatic heart disease: addressing borderline disease in a real-world setting. European Heart Journal Open, 1(3), oeab041. https://doi.org/10.1093/ehjopen/oeab041

Ilozumba, O., Dieleman, M., Kraamwinkel, N., Van Belle, S., Chaudoury, M., & Broerse, J. E. (2018). “I am not telling. The mobile is telling”: factors influencing the outcomes of a community health worker mHealth intervention in India. PLoS One, 13(3), e0194927. https://doi.org/10.1371/journal.pone.0194927

Iwaya, L. H., Ahmad, A., & Babar, M. A. (2020). Security and privacy for mHealth and uHealth systems: a systematic mapping study. IEEE Access, 8, 150081-150112. https://doi.org/10.1109/ACCESS.2020.3015962

Joshi, R., Alim, M., Kengne, A. P., Jan, S., Maulik, P. K., Peiris, D., & Patel, A. A. (2014). Task shifting for non-communicable disease management in low and middle income countries–a systematic review. PloS one, 9(8), e103754. https://doi.org/10.1371/journal.pone.0103754

Kachimanga, C., Divala, T. H., Ket, J. C., Kulinkina, A. V., Zaniku, H. R., Murkherjee, J., ... & van den Akker, T. (2023). Adoption of mHealth technologies by community health workers to improve the use of maternal health services in Sub-Saharan Africa: protocol for a mixed method systematic review. JMIR Research Protocols, 12(1), e44066. https://doi.org/10.2196/44066

Källander, K., Tibenderana, J. K., Akpogheneta, O. J., Strachan, D. L., Hill, Z., Ten Asbroek, A. H., ... & Meek, S. R. (2013). Mobile health (mHealth) approaches and lessons for increased performance and retention of community health workers in low-and middle-income countries: a review. Journal of medical Internet research, 15(1), e2130. https://doi.org/10.2196/jmir.2130

Kane, S., Gandidzanwa, C., Mutasa, R., Moyo, I., Sismayi, C., Mafaune, P., & Dieleman, M. (2018). Coming full circle: how health worker motivation and performance in results-based financing arrangements hinges on strong and adaptive health systems. International Journal of Health Policy and Management, 8(2), 101. https://doi.org/10.15171/ijhpm.2018.98

Kok, M. C., Kane, S. S., Tulloch, O., Ormel, H., Theobald, S., Dieleman, M., ... & de Koning, K. A. (2015). How does context influence performance of community health workers in low-and middle-income countries? Evidence from the literature. Health research policy and systems, 13(1), 13. https://doi.org/10.1186/s12961-015-0001-3

Labrique, A. B., Wadhwani, C., Williams, K. A., Lamptey, P., Hesp, C., Luk, R., & Aerts, A. (2018). Best practices in scaling digital health in low and middle income countries. Globalization and health, 14(1), 103. https://doi.org/10.1186/s12992-018-0424-z

Leon, N., Namadingo, H., Bobrow, K., Cooper, S., Crampin, A., Pauly, B., ... & Farmer, A. (2021). Intervention development of a brief messaging intervention for a randomised controlled trial to improve diabetes treatment adherence in sub-Saharan Africa. BMC Public Health, 21(1), 147. https://doi.org/10.1186/s12889-020-10089-6

Lohmann, J., Muula, A. S., Houlfort, N., & De Allegri, M. (2018). How does performance-based financing affect health workers' intrinsic motivation? A Self-Determination Theory-based mixed-methods study in Malawi. Social science & medicine, 208, 1-8. https://doi.org/10.1016/j.socscimed.2018.04.053

Mallari, E., Lasco, G., Sayman, D. J., Amit, A. M. L., Balabanova, D., McKee, M., ... & Palafox, B. (2020). Connecting communities to primary care: a qualitative study on the roles, motivations and lived experiences of community health workers in the Philippines. BMC health services research, 20(1), 860. https://doi.org/10.1186/s12913-020-05699-0

Muinga, N., Magare, S., Monda, J., Kamau, O., Houston, S., Fraser, H., ... & Paton, C. (2018). Implementing an open source electronic health record system in Kenyan health care facilities: case study. JMIR medical informatics, 6(2), e8403. https://doi.org/10.2196/medinform.8403

O’Donovan, J., O’Donovan, C., & Nagraj, S. (2019). The role of community health workers in cervical cancer screening in low-income and middle-income countries: a systematic scoping review of the literature. BMJ global health, 4(3). https://doi.org/10.1136/bmjgh-2019-001452

Olu, O., Muneene, D., Bataringaya, J. E., Nahimana, M. R., Ba, H., Turgeon, Y., ... & Dovlo, D. (2019). How can digital health technologies contribute to sustainable attainment of universal health coverage in Africa? A perspective. Frontiers in public health, 7, 341. https://doi.org/10.3389/fpubh.2019.00341

Perry, H. B., Zulliger, R., & Rogers, M. M. (2014). Community health workers in low-, middle-, and high-income countries: an overview of their history, recent evolution, and current effectiveness. Annual review of public health, 35(1), 399-421. https://doi.org/10.1146/annurev-publhealth-032013-182354

Petersen, I., Marais, D., Abdulmalik, J., Ahuja, S., Alem, A., Chisholm, D., ... & Thornicroft, G. (2017). Strengthening mental health system governance in six low-and middle-income countries in Africa and South Asia: challenges, needs and potential strategies. Health policy and planning, 32(5), 699-709. https://doi.org/10.1093/heapol/czx014

Sheel, M., Collins, J., Kama, M., Nand, D., Faktaufon, D., Samuela, J., ... & Nilles, E. (2019). Evaluation of the early warning, alert and response system after Cyclone Winston, Fiji, 2016. Bulletin of the World Health Organization, 97(3), 178. https://doi.org/10.2471/BLT.18.211409

Stanton, M. C., Mkwanda, S. Z., Debrah, A. Y., Batsa, L., Biritwum, N. K., Hoerauf, A., ... & Kelly-Hope, L. A. (2015). Developing a community-led SMS reporting tool for the rapid assessment of lymphatic filariasis morbidity burden: case studies from Malawi and Ghana. BMC infectious diseases, 15(1), 214. https://doi.org/10.1186/s12879-015-0946-4

Van Boetzelaer, E., Chowdhury, S., Etsay, B., Faruque, A., Lenglet, A., Kuehne, A., ... & Verdecchia, M. (2020). Evaluation of community based surveillance in the Rohingya refugee camps in Cox’s Bazar, Bangladesh, 2019. PLoS One, 15(12), e0244214. https://doi.org/10.1371/journal.pone.0299167

Wahl, B., Cossy-Gantner, A., Germann, S., & Schwalbe, N. R. (2018). Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?. BMJ global health, 3(4), e000798.

Wazny, K. (2018). Applications of crowdsourcing in health: an overview. Journal of global health, 8(1), 010502. https://doi.org/10.7189/jogh.08.010502

Winters, N., Langer, L., & Geniets, A. (2018). Scoping review assessing the evidence used to support the adoption of mobile health (mHealth) technologies for the education and training of community health workers (CHWs) in low-income and middle-income countries. BMJ open, 8(7), e019827. https://doi.org/10.1136/bmjopen-2017-019827

Authors

Saleh Nasser Saeed Al-Qahtani
saleh99441@gmail.com (Primary Contact)
Abdullah Jufayn Eid Alqahtani
Moteb Mohammed Misfer Alkhathami
Yousef Mohammed Shudayyid Alharbi
Solamin Al-Humaidi Al-Harbi
Mansoor Mohammed Alharbi
Faris Farraj Hezam Alotaibi
Abdulhakim Salman Alsulayih
Faisal Shadid Dhaif Allah Almutairi
Meshari Shadid Dhaif Allah Al-Mutairi
Mohammad Abdullah M Alrehaili
Mohammed Shtaiwi Alhawaiti
Al-Qahtani, S. N. S., Abdullah Jufayn Eid Alqahtani, Moteb Mohammed Misfer Alkhathami, Yousef Mohammed Shudayyid Alharbi, Solamin Al-Humaidi Al-Harbi, Mansoor Mohammed Alharbi, … Mohammed Shtaiwi Alhawaiti. (2024). The Community Health Sentinel Network: A Narrative Review of Deploying Aides and Mobile Technology for Early Outbreak Detection and Chronic Disease Management. Saudi Journal of Medicine and Public Health, 1(2), 1752–1759. https://doi.org/10.64483/202412490

Article Details

Similar Articles

<< < 8 9 10 11 12 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)