Entertainment Driven Health Communication and the Separation of Narrative Music and Celebrity Effects

References

[1] Hinyard LJ, Kreuter MW. Using narrative communication as a tool for health behavior change: A conceptual, theoretical, and empirical overview. Health Education & Behavior. 2007;34(5):777–792. https://doi.org/10.1177/1090198106291963

[2] Hoffman SJ, Tan C. Following celebrities' medical advice: Meta-narrative analysis. BMJ. 2013;347(dec17 14):f7151–f7151. https://doi.org/10.1136/bmj.f7151

[3] Abbott LS, Elliott LT. Eliminating health disparities through action on the social determinants of health: A systematic review of home visiting in the United States, 2005–2015. Public Health Nursing. 2017;34(1):2–30. https://doi.org/10.1111/phn.12268

[4] Akomolafe O, Olaogun BO, Adesuyi MO, Ndukwe VU, Sakyi JK. Predictive AI model for remittance liquidity optimization in international payment systems. International Journal of Multidisciplinary Research and Growth Evaluation. 2023;4(6):1301–1311. https://doi.org/10.54660/.IJMRGE.2023.4.6.1301-1311

[5] Barello S, Castiglioni C, Bonanomi A, Graffigna G. The caregiving health engagement scale (CHE-s): Development and initial validation of a new questionnaire for measuring family caregiver engagement in healthcare. BMC Public Health. 2019;19(1):1562. https://doi.org/10.1186/s12889-019-7743-8

[6] Carman KL, Dardess P, Maurer M, Sofaer S, Adams K, Bechtel C, et al. Patient and family engagement: A framework for understanding the elements and developing interventions and policies. Health Affairs. 2013;32(2):223–231. https://doi.org/10.1377/hlthaff.2012.1133

[7] Centers for Disease Control and Prevention. An evaluation framework for community health programs. CDC; 2019. https://stacks.cdc.gov/view/cdc/13634

[8] Dukhanin V, Topazian R, DeCamp M. Metrics and evaluation tools for patient engagement in healthcare organization- and system-level DecisionMaking: A systematic review. International Journal of Health Policy and Management. 2018;7(10):889–903. https://doi.org/10.15171/ijhpm.2018.43

[9] Hoffman LC. Reconnecting the patient: Why telehealth policy solutions must consider the deepening digital divide. Journal of Law and Health. 2022;36(1):1–34. https://doi.org/10.18060/26409

[10] Israel BA, Schulz AJ, Parker EA, Becker AB. REVIEW OF COMMUNITY-BASED RESEARCH: Assessing partnership approaches to improve public health. Annual Review of Public Health. 1998;19(1):173–202. https://doi.org/10.1146/annurev.publhealth.19.1.173

[11] Mbonu IS, Iwuanyanwu U, Uzoka E, Oluoha OM. Advances in enterprise log analytics and automated incident response architectures using Python and SIEM platforms. Iconic Research and Engineering Journals. 2019;3(2):1000–1019. https://doi.org/10.64388/IREV3I2-1714915

[12] Mbonu IS, Iwuanyanwu U, Aliliele C, Uzoka E. A review of VoIP forensic analytics models for financial fraud detection and regulatory compliance monitoring. International Journal of Multidisciplinary Research and Growth Evaluation. 2021;2(6):711–730. https://doi.org/10.54660/.IJMRGE.2021.2.6.711-730

[13] Aifuwa SE, Oshoba TO, Ogbuefi E, Ike PN, Nnabueze SB, Olatunde-Thorpe J. Predictive analytics models enhancing supply chain demand forecasting accuracy and reducing inventory management inefficiencies. International Journal of Multidisciplinary Research and Growth Evaluation. 2020;1(3):171–181. https://doi.org/10.54660/.IJMRGE.2020.1.3.171-181

[14] National Academies of Sciences, Engineering, and Medicine. Communities in action: Pathways to health equity. National Academies Press; 2017. https://doi.org/10.17226/24624

[15] Olaogun BO, Adesuyi MO, Akomolafe O, Ndukwe VU, Sakyi JK. Macroeconomic impact model for blockchain-enabled payment adoption in emerging economies. International Journal of Multidisciplinary Research and Growth Evaluation. 2025;6(6):835–853. https://doi.org/10.54660/.IJMRGE.2025.6.6.835-853

[16] Rural Health Information Hub. Types of evaluation in health promotion and disease prevention programs. RHIhub; 2024. https://www.ruralhealthinfo.org/toolkits/health-promotion/5/types-of-evaluation

[17] Wang ML, Gallivan L, Richardson M, Bhatt A. Evaluation of a community health center patient navigation program. Preventive Medicine Reports. 2015;2:622–626. https://doi.org/10.1016/j.pmedr.2015.07.008

[18] Wang S, Killedar A, Von Huben A, Norris S, Howell M. Evaluation of health equity frameworks in telehealth and digital health: A systematic review and narrative synthesis. Frontiers in Public Health. 2025;13:1690117. https://doi.org/10.3389/fpubh.2025.1690117

[19] Williams SC, Morton DJ, Yendro S, Rogers J. Comparing public quality ratings for accredited and nonaccredited home health agencies. Home Health Care Management & Practice. 2018;30(1):20–27. https://doi.org/10.1177/1084822317737249

[20] Center for Health Care Strategies. Community health workers offer critical supports for patients with complex health and social needs: An evidence review. CHCS; 2021. https://www.chcs.org/community-health-workers-offer-critical-supports-for-patients-with-complex-health-and-social-needs-an-evidence-review/

[21] Eyetsemitan RA, Ambali KB, Oyeleye AO, Fadayomi O. An integrated lean-digital framework for scaling small business operations: Synthesizing SOP design, automation, compliance, and change management. International Journal of Multidisciplinary Research and Growth Evaluation. 2025;6(6):1341–1360. https://doi.org/10.54660/IJMRGE.2025.6.6.1341-1360

[22] Provencher V, Clemson L, Cameron JI, Richardson J, Gitlin LN. Supporting at-risk older adults transitioning from hospital to home: Who benefits from an evidence-based intervention and how? Clinical Rehabilitation. 2020;34(5):673–684. https://doi.org/10.1177/0269215520905866

[23] World Health Organization. WHO guideline on health policy and system support to optimize community health worker programmes. World Health Organization; 2020. https://www.who.int/publications/i/item/9789241550369

[24] Aggarwal NK, Pieh MC, Dixon L, Guarnaccia P, Alegria M, Lewis-Fernández R. Clinician descriptions of communication strategies to improve treatment engagement by racial/ethnic minorities in mental health services: A systematic review. Patient Education and Counseling. 2016;99(2):198–209. https://doi.org/10.1016/j.pec.2015.09.002

[25] Berthelsen C, Møller N, Kronborg H. Transitional care model for older adults with multiple chronic conditions: An integrative review. Journal of Clinical Nursing. 2024;33(4):1305–1320. https://doi.org/10.1111/jocn.16913

[26] Boakye K, Ofori SD, Ogbona CS, Yeboah TJ, Bobga MA. Integrating ICT and mathematical thinking: Exploring the effectiveness of digital tools in secondary mathematics instruction. Iconic Research and Engineering Journals. 2020;4(4):372–398. https://doi.org/10.64388/IREV4I4-1714179

[27] Daniel O, Dest A, Munson A, Pulley DV, Gallo J. Interventions to enhance patient and family engagement among adults with multiple chronic conditions: A systematic scoping review. Medical Care. 2020;58(4):362–370. https://doi.org/10.1097/MLR.0000000000001286

[28] Das E, Nobbe T, Oliver MB. Moved to act: Examining the role of mixed affect and cognitive elaboration in accidental narrative persuasion. International Journal of Communication; 2017. https://ijoc.org/index.php/ijoc/article/view/7213

[29] Eyetsemitan RA, Ambali KB, Oyeleye AO, Fadayomi O. Change management in small business digital transformation: A systematic review and lean change adoption framework. Gyanshauryam, International Scientific Refereed Research Journal. 2023;6(6):521–550. https://doi.org/10.32628/GISRRJ236648

[30] Falvey JR, Sun N, Miller MJ, Pravdo A, Kodadek LM. Demystifying the digital divide: Disparities in telerehabilitation readiness among older adults in the United States. Archives of Physical Medicine and Rehabilitation. 2024;105(9):1651–1659. https://doi.org/10.1016/j.apmr.2024.05.021

[31] Faux-Nightingale A, Philp F, Bateman J, Blagojevic-Bucknall M. Available tools to evaluate digital health literacy and engagement with eHealth resources: A scoping review. Heliyon. 2022;8(8):e10380. https://doi.org/10.1016/j.heliyon.2022.e10380

[32] Fobellah AN. Navigating digital transformation: Auditing artificial intelligence-powered financial systems: A conceptual review. International Journal of Science and Research Archive. 2025;16(2):23–28. https://doi.org/10.30574/ijsra.2025.16.2.2274

[33] Ike PN, Okojie JS, Nnabueze SB, Idu JOO, Filani OM, Ihwughwavwe SI. Digital twin-driven environmental compliance models for sustainable procurement in oil, gas, and utilities. International Journal of Advanced Multidisciplinary Research and Studies. 2025;5(5):562–576. https://doi.org/10.62225/2583049x.2025.5.5.4960

[34] Keepnews D, Capitman JA. Measuring patient-level clinical outcomes of home health care. Journal of Nursing Scholarship. 2004;36(1):79–85. https://doi.org/10.1111/j.1547-5069.2004.04017.x

[35] Michael ON, Ogunsola OE. Assessing the role of digital agriculture tools in shaping sustainable and inclusive food systems. Gyanshauryam, International Scientific Refereed Research Journal. 2021;4(4):154–181.

[36] Miller SJ, Sly JR, Alcaraz KI, Ashing K, Baharetha H, Bhakta S, et al. Equity and behavioral digital health interventions: Strategies to improve benefit and reach. Translational Behavioral Medicine. 2023;13(6):400–405. https://doi.org/10.1093/tbm/ibad010

[37] National Collaborating Centre for Methods and Tools. Overview of health communication campaigns. NCCMT; 2019. https://www.nccmt.ca/uploads/media/media/0001/01/0a95a486b0c8bd7bccb75dc0a6c8039d5e6a92ed.pdf

[38] Okonkwo CS, Agbabiaka J, Mayo W, Okeke OT. Conceptual framework for digital supply chain governance in energy and infrastructure sectors. Gyanshauryam, International Scientific Refereed Research Journal. 2024;7(4):335–356. https://doi.org/10.32628/GISRRJ247423

[39] Okonkwo CS, Agbabiaka J, Mayo W, Okeke OT. Review of digital supply chain models for cost control and operational continuity. International Journal of Advanced Multidisciplinary Research and Studies. 2024;4(6):2836–2846. https://doi.org/10.62225/2583049X.2024.4.6.5496

[40] Peek ME, Harmon SA, Scott SJ, Eder M, Roberson TS, Tang H, et al. Culturally tailoring patient education and communication skills training to empower African-Americans with diabetes. Translational Behavioral Medicine. 2012;2(3):296–308. https://doi.org/10.1007/s13142-012-0125-8

[41] Richardson S, Lawrence K, Schoenthaler AM, Mann D. A framework for digital health equity. npj Digital Medicine, 5(1), 119; 2022. https://doi.org/10.1038/s41746-022-00663-0

[42] Snyder LB. Health communication campaigns and their impact on behavior. Journal of Nutrition Education and Behavior. 2007;39(2):S32–S40. https://doi.org/10.1016/j.jneb.2006.09.004

[43] Adebayo A, Adegbite MP, Ahmed MO. Adversarial machine learning in critical infrastructure: A conceptual framework for threat modeling AI enabled OT systems. World Journal of Innovation and Modern Technology. 2022;6(1):184–234. https://doi.org/10.56201/wjimt.v6.no1.2022.pg184.234

[44] Centers for Medicare MS. Discharge planning proposed rule focuses on patient preferences. CMS; 2024. https://www.cms.gov/newsroom/press-releases/discharge-planning-proposed-rule-focuses-patient-preferences

[45] Haenssgen MJ, Charoenboon N, Zanello G. Trust in healthcare: Methodological and conceptual considerations. BMJ Global Health. 2024;9(5):e014640. https://doi.org/10.1136/bmjgh-2023-014640

[46] Hendren S, Griggs JJ, Epstein RM, Humiston S, Rousseau S, Jean-Pierre P, et al. Study protocol: A randomized controlled trial of patient navigation-activation to reduce cancer health disparities. BMC Cancer. 2010;10:551. https://doi.org/10.1186/1471-2407-10-551

[47] Roland KB, Milliken EL, Rohan EA, DeGroff A, White S, Melillo S, et al. Use of community health workers and patient navigators to improve cancer outcomes among patients served by federally qualified health centers: A systematic literature review. Health Equity. 2017;1(1):61–76. https://doi.org/10.1089/heq.2017.0001

[48] Ahn S, Romo RD, Campbell CL. A systematic review of interventions for family caregivers who care for patients with advanced cancer at home. Patient Education and Counseling. 2020;103(8):1518–1530. https://doi.org/10.1016/j.pec.2020.03.012

[49] American Heart Association. Mobile health interventions and remote monitoring for hypertension management. Circulation. 2022;146(Suppl_1):A12898. https://doi.org/10.1161/circ.146.suppl_1.12898

[50] Armaou M, Stella A, Ramirez J. eHealth and mHealth interventions for ethnic minority and underserved populations: An umbrella review. International Journal of Community Well-Being. 2020;3(3):291–319. https://doi.org/10.1007/s42413-019-00055-5

[51] Bitomsky L, Nißen M, Kowatsch T. Equity by design principles for digital health interventions. International Journal for Equity in Health. 2025;24:112. https://doi.org/10.1186/s12939-025-02645-6

[52] Eyetsemitan RA, Oyeleye AO, Ambali KB, Fadayomi O. Data-driven process optimization in micro-enterprises: A conceptual framework for funnel analysis and bottleneck identification. International Journal of Multidisciplinary Research and Growth Evaluation. 2024;5(6):1950–1968. https://doi.org/10.54660/IJMRGE.2024.5.6.1950-1968

[53] Joo JY, Liu MF. Culturally tailored interventions for ethnic minorities: A scoping review. Nursing Open. 2021;8(5):2078–2090. https://doi.org/10.1002/nop2.733

[54] McCarthy MJ, Wilt K, Wilson J. Feasibility and utility of mobile health interventions for rural populations: A scoping review. JMIR mHealth and uHealth. 2024;12:e50224. https://doi.org/10.2196/50224

[55] Mehta B, Singh JA, Ho K, Parks M, Nelson C, Ponce B. Race, discharge disposition, and readmissions after elective hip replacement: Analysis of a large regional dataset. Health Equity. 2019;3(1):468–475. https://doi.org/10.1089/heq.2019.0083

[56] Nápoles AM, Stewart AL. Transcreation: An implementation science framework for community-engaged behavioral interventions to reduce health disparities. BMC Health Services Research. 2018;18(1):710. https://doi.org/10.1186/s12913-018-3521-z

[57] Were MC, Sinha C, Catalani C. A systematic approach to equity assessment for digital health interventions: Case example of mobile personal health records. Journal of the American Medical Informatics Association. 2019;26(8–9):884–890. https://doi.org/10.1093/jamia/ocz071

[58] Agu MU, Akomolafe O, Bello A. Advances in predictive financial risk assessment using Python-based forecasting systems. International Journal of Computer Science and Mathematical Theory. 2025;11(11):131–148. https://doi.org/10.56201/ijcsmt.vol.11.no11.2025.pg131.148

[59] Centers for Disease Control and Prevention. Evidence of impact for community health workers. Community Preventive Services Task Force; 2019. https://hdsbpc.cdc.gov/s/article/Evidence-of-Impact-for-Community-Health-Workers

[60] Moyer-Gusé E. Toward a theory of entertainment persuasion: Explaining the persuasive effects of entertainment-education messages. Communication Theory. 2008;18(3):407–425. https://doi.org/10.1111/j.1468-2885.2008.00328.x

[61] Green MC, Brock TC. The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology. 2000;79(5):701–721. https://doi.org/10.1037/0022-3514.79.5.701

[62] Murphy ST, Frank LB, Chatterjee JS, Baezconde-Garbanati L. Narrative versus nonnarrative: The role of identification, transportation, and emotion in reducing health disparities. Journal of Communication. 2013;63(1):116–137. https://doi.org/10.1111/jcom.12007

[63] Agency for Healthcare Research and Quality. Health literacy universal precautions toolkit: Address language differences (Tool 9). AHRQ; 2023. https://www.ahrq.gov/health-literacy/improve/precautions/tool9.html

[64] Bekalu MA, Bigman CA, McCloud RF, Lin LK, Viswanath K. The relative persuasiveness of narrative versus non-narrative health messages in public health emergency communication: Evidence from a field experiment. Preventive Medicine. https://www.sciencedirect.com/science/article/pii/S0091743517304553; 2018. https://doi.org/10.1016/j.ypmed.2017.11.014

[65] Grande GE, Austin L, Ewing G, O'Leary N, Roberts C. Assessing the impact of a carer support needs assessment tool (CSNAT) intervention in palliative home care: A stepped wedge cluster trial. BMJ Supportive & Palliative Care. 2017;7(3):326–334. https://doi.org/10.1136/bmjspcare-2014-000829

[66] Griffith DM, Efird CR, Baskin ML, Webb Hooper M, Davis RE, Resnicow K. Cultural sensitivity and cultural tailoring: Lessons learned and refinements after two decades of incorporating culture in health communication research. Annual Review of Public Health. 2024;45:27–43. https://doi.org/10.1146/annurev-publhealth-060722-031158

[67] Kaufman J, Ames H, Bosch-Capblanch X, Cartier Y, Cliff J, Glenton C, et al. The comprehensive 'communicate to vaccinate' taxonomy of communication interventions for childhood vaccination in routine and campaign contexts. BMC Public Health. 2017;17:456. https://doi.org/10.1186/s12889-017-4320-x

[68] Lindsey TM. Empowered storytelling? An examination of narrative transportation and empowerment in storytelling and its impact on millennial consumers. Rutgers University; 2017. https://rucore.libraries.rutgers.edu/rutgers-lib/55830/PDF/1/play/

[69] Moyer-Gusé E, Rader K, Lavis S. Transportation into an entertainment narrative about the MMR vaccine: An investigation of self-referencing and issue-related thoughts in narrative persuasion. Journal of Health Communication. 2022;27(8):585–592. https://doi.org/10.1080/10810730.2022.2138641

[70] Rahmani B, Montano B, Groves DW, Sharot T. The persuasive effects of narrative entertainment: A meta-analysis of recent experiments. Behavioural Public Policy, 1–30; 2025. https://doi.org/10.1017/bpp.2025.100109

[71] Ryan P. Integrated theory of health behavior change: Background and intervention development. Clinical Nurse Specialist; 2009. https://pmc.ncbi.nlm.nih.gov/articles/PMC2778019/

[72] Schiavo R. Health communication: From theory to practice. Jossey-Bass; 2013. https://books.google.com/books?id=vYxHAQAAQBAJ

[73] Shin YJ, Miller-Day M, Hecht ML, Krieger JL. Entertainment-education videos as a persuasive tool in the substance use prevention intervention 'keepin' it REAL'. Health Communication. 2018;33(7):896–906. https://doi.org/10.1080/10410236.2017.1321163

[74] Slater MD. Theory and method in health audience segmentation. Journal of Health Communication. 1996;1(3):267–284. https://doi.org/10.1080/108107396128059

[75] Wallerstein N, Duran B. Community-based participatory research contributions to intervention research: The intersection of Science and practice to improve health equity. American Journal of Public Health. 2010;100(S1):S40–S46. https://doi.org/10.2105/ajph.2009.184036

[76] World Health Organization. Community engagement: A health promotion guide for universal health coverage in the hands of the people. World Health Organization; 2020. https://www.who.int/publications/i/item/9789240010529

[77] Zhao X. Health communication campaigns: A brief introduction and call for dialogue. International Journal of Environmental Research and Public Health. 2020;17(18):6529. https://doi.org/10.3390/ijerph17186529

[78] Bandura A. Health promotion by social cognitive means. Health Education & Behavior. 2004;31(2):143–164. https://doi.org/10.1177/1090198104263660

[79] Fishbein M, Yzer MC. Using theory to design effective health behavior interventions. Communication Theory. 2003;13(2):164–183. https://doi.org/10.1111/j.1468-2885.2003.tb00287.x

[80] Agency for Healthcare Research and Quality. Social determinants of health and practice improvement. AHRQ; 2022. https://www.ahrq.gov/sdoh/practice-improvement.html

[81] Akanbi O, Ganiu OS, Sunday EA. A multi-agent AI framework for swarm intelligence in autonomous mobile robot (AMR) fleet coordination. International Journal of Scientific Research in Humanities and Social Sciences, 2(1), 81–109. Supply Chain Management, ESG Auditing, and Sustainable Procurement; 2025.

[82] Alora Health. Mastering social determinants of health in home health. Alora Health; 2024. https://www.alorahealth.com/blog-home-health-sdoh/

[83] Borah S, Aliliele KC, Rakshit S, Vajjhala NR. Applications of artificial intelligence in software testing. In P. K. Mallick et al. (Eds.), Cognitive informatics and soft computing (Lecture Notes in Networks and Systems, Vol. 375, pp. 727–736). Springer; 2022. https://doi.org/10.1007/978-981-16-8763-1_60

[84] Center for Health Care Strategies. Screening for social determinants of health in populations with complex needs: Implementation considerations. CHCS; 2022. https://www.chcs.org/resource/screening-social-determinants-health-populations-complex-needs-implementation-considerations/

[85] Davitt JK. Racial/ethnic disparities in access to Medicare home health care. Journal of Gerontological Social Work. 2010;53(7):591–610. https://doi.org/10.1080/01634372.2010.503984

[86] Okonkwo CS, Agbabiaka J, Mayo W, Okeke OT. Model for predictive procurement planning to sustain operational uptime. International Journal of Scientific Research in Humanities and Social Sciences. 2024;1(2):909–928. https://doi.org/10.32628/IJSRSSH242772

[87] Quintero Johnson JM, Harrison K, Quick BL. Understanding the effectiveness of the entertainment-education strategy: An investigation of how audience involvement, message processing, and message design influence health information recall. Journal of Health Communication. 2013;18(2):160–178. https://doi.org/10.1080/10810730.2012.688244

[88] Rural Health Information Hub. Social determinants of health for rural people. RHIhub; 2024. https://www.ruralhealthinfo.org/topics/social-determinants-of-health

[89] Updegraff JA, Rothman AJ. Message framing for health: Moderation by perceived susceptibility. In K. D. Brownell & L. M. Roberto (Eds.), Health behaviour change. Oxford University Press; 2015.

[90] Wallace AS, Luther BL, Guo JW, Wang CY, Sisler S, Fortenberry JD. Integrating social determinants of health screening and referral during routine emergency department care. BMC Public Health. 2021;21:1506. https://doi.org/10.1186/s12889-021-11527-9

[91] Welch V, Petkovic J, Simeon R, Presseau J, Gagnon D, Halko R, et al. Interactive social media interventions for health behaviour change, health outcomes, and health equity in the adult population. Cochrane Database of Systematic Reviews. 2018;2018(2):CD012932. https://doi.org/10.1002/14651858.CD012932.pub2

[92] Snyder LB, Hamilton MA, Mitchell EW, Kiwanuka-Tondo J, Fleming-Milici F, Proctor D. A meta-analysis of the effect of mediated health communication campaigns on behavior change in the United States. Journal of Health Communication. 2004;9(sup1):71–96. https://doi.org/10.1080/10810730490271548

[93] Anker AE, Feeley TH, McCracken B, Lagoe CA. Measuring the effectiveness of mass-mediated health campaigns through meta-analysis. Journal of Health Communication. 2016;21(4):439–456. https://doi.org/10.1080/10810730.2015.1095820

[94] Shen F, Han JA. Effectiveness of entertainment education in communicating health information: A systematic review. Asian Journal of Communication. 2014;24(6):605–616. https://doi.org/10.1080/01292986.2014.927895

[95] Brusse EDA, Fransen ML, Smit EG. Framing in entertainment-education: Effects on processes of narrative persuasion. Health Communication. 2017;32(12):1501–1509. https://doi.org/10.1080/10410236.2016.1234536

[96] Allen J, Hutchinson AM, Brown R, Livingston PM. Quality care outcomes following transitional care interventions for older people from hospital to home: A systematic review. BMC Health Services Research. 2014;14:346. https://doi.org/10.1186/1472-6963-14-346

[97] Amadi CE, Akanbi PO, Okwah MN, Mbakwem AC, Ajuluchukwu JN. Triglyceride-glucose index and reduced kidney function in hypertensive Nigerian adults: Independent association within the cardio-renal continuum. BMC Cardiovascular Disorders. Advance online publication; 2026. https://doi.org/10.1186/s12872-026-05985-5

[98] American Hospital Association. Building a community health worker program: The key to better care, better outcomes, and lower costs. AHA; 2018. https://www.aha.org/system/files/2018-10/chw-program-manual-2018-toolkit-final.pdf

[99] Doré A, Rebitschek FG, Morello K, Stierstädter E, Betsch C. A systematic review and meta-analysis of the effects of entertainment-education interventions on persuasive health outcomes. Scientific Reports. 2025;15. https://doi.org/10.1038/s41598-025-11012-y

[100] Sood S, Riley AH, Birkenstock L. Entertainment-Education and Climate Change: Program Examples, Evidence, and Best Practices from around the World. Storytelling to Accelerate Climate Solutions, 17–46; 2024. https://doi.org/10.1007/978-3-031-54790-4_2

[101] Horton D, Richard Wohl R. Mass communication and para-social interaction. Psychiatry. 1956;19(3):215–229. https://doi.org/10.1080/00332747.1956.11023049

[102] Association of State and Territorial Health Officials. Community health workers: Evidence of their effectiveness. ASTHO; 2019. https://www.astho.org/globalassets/pdf/community-health-workers-summary-evidence.pdf

[103] De Haes H, Bensing J. Endpoints in medical communication research, proposing a framework of functions and outcomes. Patient Education and Counseling. 2009;74(3):287–294. https://doi.org/10.1016/j.pec.2008.12.006

[104] Li J, Qi M, Werner RM. Assessment of receipt of the first home health care visit after hospital discharge among older adults. JAMA Network Open. 2020;3(9):e2015470. https://doi.org/10.1001/jamanetworkopen.2020.15470

[105] Nelson HD, Cantor A, Wagner J, Jungbauer R, Fu R, Stillman L, et al. Effectiveness of patient navigation to increase cancer screening in populations adversely affected by health disparities. Journal of General Internal Medicine. 2020;35(10):3026–3035. https://doi.org/10.1007/s11606-020-06020-9

[106] Hagger MS, Chatzisarantis NLD. An integrated behavior change model for physical activity. Exercise and Sport Sciences Reviews. 2014;42(2):62–69. https://doi.org/10.1249/jes.0000000000000008

[107] Sheridan SL, Halpern DJ, Viera AJ, Berkman ND, Donahue KE, Crotty K. Interventions for individuals with low health literacy: A systematic review. Journal of Health Communication. 2011;16(sup3):30–54. https://doi.org/10.1080/10810730.2011.604391

[108] Reyna VF, Nelson WL, Han PK, Dieckmann NF. How numeracy influences risk comprehension and medical decision making. Psychological Bulletin. 2009;135(6):943–973. https://doi.org/10.1037/a0017327

[109] Akomolafe O, Agu MU. A review of data-driven risk evaluation models for emerging market financial institutions. Iconic Research and Engineering Journals. 2019;3(6):433–448.

[110] Mbonu IS, Aliliele C, Iwuanyanwu U, Uzoka E. A conceptual framework for risk based business intelligence architecture in financial technology platforms. International Journal of Multidisciplinary Research and Growth Evaluation. 2021;2(6):731–746. https://doi.org/10.54660/.IJMRGE.2021.2.6.731-746

[111] McCarron TL, Noseworthy T, Moffat K, Wilkinson G, Zelinsky S, White D, et al. A co-designed framework to support and sustain patient and family engagement in health care decision making. Health Expectations. 2020;23(4):825–836. https://doi.org/10.1111/hex.13054

[112] Mitra M, Long-Bellil L, Moura I, Miles A, Kaye HS. Advancing health equity and reducing health disparities for people with disabilities in the United States. Health Affairs. 2022;41(10):1379–1386. https://doi.org/10.1377/hlthaff.2022.00499

[113] Mukhtar T, Ahmad S, Iqbal S. Digital health literacy: A systematic review of interventions. Journal of Medical Internet Research. 2025;27:e51112. https://doi.org/10.2196/51112

[114] National Institute for Health and Care Excellence. Shared decision making (NICE Guideline NG197). NICE; 2021.

[115] Okojie J, Ike P, Idu J, Nnabueze SB, Filani O, Ihwughwavwe S. Predictive analytics models for monitoring smart city emissions and infrastructure risk in urban ESG planning. International Journal of Multidisciplinary Futuristic Development. 2023;4(1):45–57. https://doi.org/10.54660/IJMFD.2023.4.1.45-57

[116] Vraga EK, Bode L. Correction as a solution for health misinformation on social media. American Journal of Public Health. 2020;110(S3):S278–S280. https://doi.org/10.2105/ajph.2020.305916

[117] Agency for Healthcare Research and Quality. Strategy 4: Care transitions from hospital to home: IDEAL discharge planning. AHRQ; 2020. https://www.ahrq.gov/patient-safety/patients-families/engagingfamilies/strategy4/index.html

[118] European Centre for Disease Prevention and Control. A literature review on health communication campaign evaluation with relevance to the prevention and control of communicable diseases. ECDC; 2020. https://www.ecdc.europa.eu/sites/default/files/media/en/publications/Publications/Campaign-evaluation.pdf

[119] Gram EG, Nelson LM, Bhatt JR. Addressing misleading medical information on social media. BMJ Evidence-Based Medicine. 2025;30(6):420–424. https://doi.org/10.1136/bmjebm-2024-113175

[120] Hirschman KB, Shaid E, McCauley K, Pauly MV, Naylor MD. Continuity of care: The transitional care model. Online Journal of Issues in Nursing. 2015;20(3):Manuscript 1. https://doi.org/10.3912/OJIN.Vol20No03Man01

[121] Kbaier D, Al-Shamaileh O, Al-Hasan A. Prevalence of health misinformation on social media: Systematic review. Journal of Medical Internet Research. 2024;26:e47631. https://doi.org/10.2196/47631

[122] Neshan M, Padmanabhan S, Krishnan S. Screening tools to address social determinants of health in the United States: A systematic review. Journal of Clinical and Translational Science. 2024;8(1):e100. https://doi.org/10.1017/cts.2024.73

[123] Urbanski DP, Amoako E, Bhatt A. Telehealth use among older adults receiving home health care services. JMIR Aging. 2026;9:e52147. https://doi.org/10.2196/52147

[124] Adebayo A, Adegbite MP, Ahmed MO. AI augmented threat detection in industrial control systems: A systematic review of machine learning approaches for ICS anomaly detection. International Journal of Engineering and Modern Technology. 2023;9(3):287–340. https://doi.org/10.56201/ijcsmt.v9.no3.2023.pg287.340

[125] Adeyelu OO, Dagodzo D. Advances in artificial intelligence and data-driven wildlife hazard monitoring and incident reduction at international airports in west Africa. International Journal of Scientific Research in Science and Technology. 2024;11(5):872–910. https://doi.org/10.32628/IJSRST52310285

[126] Akanbi O, Sunday EA. A systematic review of AI-driven autonomous mobile robots (AMR) in scalable micro-fulfillment centers. International Journal of Advanced Multidisciplinary Research and Studies. 2025;5(6):2363–2379. https://doi.org/10.62225/2583049X.2025.5.6.6182

[127] Akomolafe O, Olaogun BO, Adesuyi MO, Ndukwe VU, Sakyi JK. Smart contract automation model for supplier payment systems and performance benchmarking. International Journal of Multidisciplinary Research and Growth Evaluation. 2022;3(6):827–836. https://doi.org/10.54660/.IJMRGE.2022.3.6.827-836

[128] Arumosoye OM, Obriki OD, Ozobu CO. Systematic review of predictive safety analytics applications in LNG projects with ESG implications. Global Journal of Engineering and Technology Review. 2026;2(2):61–73. https://doi.org/10.65150/EP-gjetr/V2E2/2026-05

[129] Assistant Secretary for Planning and Evaluation. COVID-19 intensifies home care workforce challenges. ASPE. https://aspe.hhs.gov/reports/covid-19-intensifies-home-care-workforce-challenges; 2022. https://doi.org/10.1093/geroni/igac059.988

[130] Balaban RB, Galbraith AA, Burns ME, Vialle-Valentin CE, Larochelle MR, Ross-Degnan D. A patient navigator intervention to reduce hospital readmissions among high-risk safety-net patients: A randomized controlled trial. Journal of General Internal Medicine. 2015;30(7):907–915. https://doi.org/10.1007/s11606-015-3185-x

[131] Cené CW, Johnson BH, Wells N, Baker B, Davis R, Turchin A. A narrative review of patient and family engagement: The 'foundation' of the medical home. Medical Care. 2016;54(7):697–717. https://doi.org/10.1097/MLR.0000000000000548

[132] Fashaw-Walters SA, Rahman M, Gee G, Mor V, White M, Thomas KS. Out of reach: Inequities in the use of high-quality home health agencies. Health Affairs. 2022;41(2):247–255. https://doi.org/10.1377/hlthaff.2021.01408

[133] Fischer SM, Kline DM, Min S, Okuyama-Sasaki S, Sajatovic M, Bekelman DB. Patient navigator intervention to improve palliative care outcomes. JAMA Internal Medicine. 2024;184(4):383–391. https://doi.org/10.1001/jamainternmed.2023.8220

[134] Health Information and Management Systems Society. Improving electronic patient portal use in groups with low utilization in a family medicine practice. HIMSS; 2023. https://www.himss.org/resources/improving-electronic-patient-portal-use-groups-low-utilization-family-medicine-practice/

[135] Health Resources and Services Administration. Health workforce projections, 2023–2038. HRSA; 2025. https://bhw.hrsa.gov/data-research/projecting-health-workforce-supply-demand

[136] International Organization for Standardization. Health informatics - Requirements for a home health care record (ISO Standard No. 13606–3); 2024.

[137] Johannes BL, Kim H, Park J. Rural-urban differences in telehealth utilization and reasons for non-use among older adults. Journal of Rural Health. 2023;39(4):733–741. https://doi.org/10.1111/jrh.12735

[138] Khoong EC, Lopez L, Karliner L. Addressing gaps in interpreter use: Time for implementation science informed multi-level interventions. Journal of General Internal Medicine. 2021;36(11):3532–3536. https://doi.org/10.1007/s11606-021-06823-4

[139] Kim KK, Saggi MK, Fang Z, Ancker JS. Digital health equity frameworks and key concepts: A scoping review. Journal of the American Medical Informatics Association. 2025;32(5):855–868. https://doi.org/10.1093/jamia/ocaf024

[140] Leff B, Ritchie CS, Rising KL, Cannon K, Hwang U. Addressing barriers to equitable telehealth for older adults. Frontiers in Medicine. 2025;12:1483366. https://doi.org/10.3389/fmed.2025.1483366

[141] Mbonu IS, Aliliele C, Iwuanyanwu U, Uzoka E. A conceptual framework for AI enabled IT general controls and SOX audit automation processes. Gyanshauryam, International Scientific Refereed Research Journal. 2022;5(5):384–414. https://doi.org/10.32628/GISRRJ2256239

[142] Merenstein Z, Shea JA, Grande D. Measuring trust in primary care. Milbank Quarterly. 2023;101(4):1187–1234. https://doi.org/10.1111/1468-0009.12666

[143] Li J, Sterling MR, Kern LM. Hospital discharge planners need more information to support home health choice. Journal of the American Geriatrics Society. 2023;71(11):3512–3522. https://doi.org/10.1111/jgs.18505

[144] Michael ON, Ogunsola OE. Development of predictive data models for enhancing crop resilience and climate adaptation in agrarian economies. International Journal of Advanced Multidisciplinary Research and Studies. 2023;3(1):1510–1527. https://doi.org/10.62225/2583049X.2023.3.1.5143

[145] Mistry SK, Harris E, Harris M. Community health workers as healthcare navigators in primary care chronic disease management: A systematic review. Journal of General Internal Medicine. 2021;36(9):2755–2771. https://doi.org/10.1007/s11606-021-06667-y

[146] National Academies of Sciences, Engineering, and Medicine. The future of nursing 2020–2030: Charting a path to achieve health equity. National Academies Press; 2021. https://doi.org/10.17226/25982

[147] National Institute for Health Care Management. Rural health: Addressing barriers to care. NIHCM; 2024. https://nihcm.org/publications/rural-health-addressing-barriers-to-care

[148] O'Hara A, Paterson L. Home care workforce retention strategies: A policy brief. Home Care Association; 2024. https://hcanys.org/for-members/data-research/hca-state-of-the-industry-reports/2025-state-of-the-industry

[149] Obogo SF, Ozobu CO, Garba BMP, Adio SA. Predictive safety analytics model for early detection of high-risk construction activities. Global Journal of Engineering and Technology Review. 2026;2(3):92–109. https://doi.org/10.65150/EP-gjetr/V2E3/2026-03

[150] Ogbete JC, Aminu-Ibrahim AY, Iwuanyanwu OC. Digital and BIM enabled coordination methods for delivering complex medical facility projects. International Journal of Advanced Multidisciplinary Research and Studies. 2025;5(6):1991–2010. https://doi.org/10.62225/2583049X.2025.5.6.5701

[151] Ogundairo KM, Ayivi-Donkor SS. Machine learning approaches to customer acquisition and retention: A framework for predictive lifecycle management. IIARD International Journal of Economics and Business Management. 2023;9(10):210–246. https://doi.org/10.56201/ijebm.v9.no10.2023.pg210.246

[152] Okoye SM, Mulcahy JF, Fabius CD, Burgdorf JG, Wolff JL. Neighborhood broadband and use of telehealth among older adults: Cross-sectional study of national survey data linked with Census data. Journal of Medical Internet Research. 2021;23(6):e26242. https://doi.org/10.2196/26242

[153] Osokpo OH, Travers JL, Naylor MD. Leveraging the transitional care model intervention to improve outcomes. Journal of the American Medical Directors Association. 2025;26(8):105526. https://doi.org/10.1016/j.jamda.2025.105526

[154] Patel M, Nguyen T. Insights into patient portal engagement leveraging observational electronic health data. American Journal of Managed Care. 2024;30(6):e182–e188. https://doi.org/10.37765/ajmc.2026.89870

[155] Penn Leonard Davis Institute. Home health care workforce is not keeping up with community needs. LDI Research Update; 2024. https://ldi.upenn.edu/our-work/research-updates/home-health-care-workforce-not-keeping-up-with-community-needs/

[156] Perera UGE, Lim A, Lang C. The effects of home health value-based purchasing on home health care quality in for-profit and nonprofit home health agencies. Medical Care Research and Review. 2021;79(3):404–414. https://doi.org/10.1177/10775587211008690

[157] Quigley DD, Chastain AM, Kang JA, Bronstein D, Dick AW, Stone PW, et al. Systematic review of rural and urban differences in care provided by home health agencies in the United States. Journal of the American Medical Directors Association. 2022;23(10):1653.e1–1653.e13. https://doi.org/10.1016/j.jamda.2022.08.011

[158] Saragosa M, Nizzer S, McKay S, Kuluski K. The hospital-to-home care transition experience of home care clients: An exploratory study using patient journey mapping. BMC Health Services Research. 2023;23:830. https://doi.org/10.1186/s12913-023-09899-2

[159] Simpson A, Kelly P, Williams B. Measuring delivery and impact in community-based health programs: A four-pillar framework. BMC Public Health. 2025;25:981. https://doi.org/10.1186/s12889-025-21444-6

[160] The Medicare Advocacy Project. Racial and ethnic health care disparities in Medicare. Medicare Advocacy; 2024. https://medicareadvocacy.org/medicare-info/health-care-disparities/

[161] Tuan WJ, Mellott M, Arndt BG, Jones JK, Gilchrist VJ. Disparities in use of patient portals among adults in family medicine. Journal of the American Board of Family Medicine. 2022;35(3):559–569. https://doi.org/10.3122/jabfm.2022.03.210486

[162] University of Michigan Institute for Healthcare Policy and Innovation. Black patients less likely to get referral for home health care after hospital stay. IHPI; 2024. https://ihpi.umich.edu/news-events/news/black-patients-less-likely-get-referral-home-health-care-after-hospital-stay

[163] Yakusheva O. Racial and ethnic disparities in home health referral among adult Medicare patients. Journal of the American Geriatrics Society. 2024;72(3):743–752. https://doi.org/10.1111/jgs.18716

[164] Zhang S, Zhou H, Zhu Y. Have we found a solution for health misinformation? A ten-year systematic review. International Journal of Medical Informatics. 2024;187:105460. https://doi.org/10.1016/j.ijmedinf.2024.105460

[165] Basch E, Deal AM, Kris MG, Schrag D. Community health worker navigation and patient-reported outcomes. Journal of Clinical Oncology. 2023;41(31):4781–4791. https://doi.org/10.1200/JCO.23.01723

[166] Chen AC, Fu CX, Grabowski DC. Claims-based vs agency-reported patient outcomes among home health agencies, 2013–2019. JAMA Network Open. 2024;7(4):e246813. https://doi.org/10.1001/jamanetworkopen.2024.6813

[167] Masterson Creber R, Dodson JA, Bidwell J, Breathett K, Lyles C, Harmon Still C, et al.; American Heart Association Cardiovascular Disease in Older Populations Committee of the Council on Clinical Cardiology and the Council on Cardiovascular and Stroke Nursing; Council on Quality of Care and Outcomes Research; Council on Peripheral Vascular Disease. Telehealth and health equity in older adults with heart failure: A scientific statement from the American Heart Association. Circulation: Cardiovascular Quality and Outcomes. 2023;16(11). https://doi.org/10.1161/hcq.0000000000000123

[168] Misra K, Keane M. Operationalizing equity: Measuring digital health access, literacy, and outcomes. HIMSS; 2024. https://www.himss.org/resources/operationalizing-equity-measuring-digital-health-access-literacy-and-outcomes/

[169] More KR, Phillips LA, Hartman TK. Does messaging matter? A registered report on message framing and health behaviour. Journal of Behavioral and Experimental Economics. 2024;108:102146. https://doi.org/10.1016/j.socec.2023.102146

[170] National Clinical Care Commission. Report to Congress on leveraging federal programs to break the cycle of diabetes. U.S. Department of Health and Human Services; 2021.

[171] National Committee for Quality Assurance. Building better care transitions: A practical model for outcomes, equity and coordination. NCQA; 2024. https://www.ncqa.org/videos/building-better-care-transitions-a-practical-model-for-outcomes-equity-and-coordination/

[172] Okonkwo CS, Agbabiaka J, Mayo W, Okeke OT. Supply chain automation framework using service management platforms. Shodhshauryam, International Scientific Refereed Research Journal. 2024;7(2):157–177. https://doi.org/10.32628/SHISRRJ2472157

[173] Sanni JO. Artificial intelligence driven demand forecasting models addressing volatility in complex service organizations. Computer Science & IT Research Journal. 2026;7(1):1–26. https://doi.org/10.51594/csitrj.v7i1.2170

[174] Yeboah TJ, Oloto AM. Conceptual models for monitoring IEP implementation fidelity and educational service delivery outcomes. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2023;9(3):944–973.

[175] AcademyHealth. Trust measures compendium. AcademyHealth; 2022. https://academyhealth.org/sites/default/files/publication/%5Bfield_date%3Acustom%3AY%5D-%5Bfield_date%3Acustom%3Am%5D/trust_measures_compendium.pdf

[176] Centers for Medicare MS. Home health quality reporting program: Measures and reporting guidance. CMS; 2024. https://www.cms.gov/medicare/quality/home-health

[177] Kaiser Family Foundation. Disparities in health measures by race and ethnicity among beneficiaries in Medicare Advantage: A review of the literature. KFF; 2024. https://www.kff.org/medicare/disparities-in-health-measures-by-race-and-ethnicity-among-beneficiaries-in-medicare-advantage-a-review-of-the-literature/

[178] Organisation for Economic Co-operation and Development. Building trustworthy 21st century healthcare systems. In Does healthcare deliver? OECD Publishing; 2025. https://doi.org/10.1787/2139da94-en

[179] Allen J, Hutchinson AM, Brown R, Livingston PM. User experience and care integration in transitional care for older people from hospital to home: A meta-synthesis. Qualitative Health Research. 2017;27(1):24–36. https://doi.org/10.1177/1049732316658267

[180] Agency for Healthcare Research and Quality. AHRQ digital healthcare equity framework and implementation guide. AHRQ; 2023. https://digital.ahrq.gov/program-overview/research-stories/development-digital-healthcare-equity-framework

[181] Ancker JS, Benda NC, Sharma MM, Johnson SB, Webber EC, Zikmund-Fisher BJ. Taxonomies for synthesizing the evidence on communicating numbers in health: Goals, format, and structure. Risk Analysis. 2022;42(12):2656–2670. https://doi.org/10.1111/risa.13875

[182] Arumosoye OM, Obriki OD. Conceptual model for emergency response readiness and capability in energy and process facilities. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2023;9(3):897–917. https://doi.org/10.32628/CSEIT25112791

[183] Atakpa MI, Abetoh NF. A systematic review of machine learning advances in financial fraud detection for banking systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2022;8(2):771–801. https://doi.org/10.32628/CSEIT23906220

[184] Atakpa MI. A review of predictive analytics models for anti-money laundering detection in commercial banking systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2021;7(2):778–804. https://doi.org/10.32628/CSEIT2064813

[185] Dagodzo D, Ahiaeke Patrick MC. An integrated framework for UAV, LiDAR, and GIS in infrastructure corridor management. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2021;7(5):497–524. https://doi.org/10.32628/CSEIT217566

[186] Dagodzo D, Ahiaeke Patrick MC. A review of right-of-way encroachment detection methods using geospatial technologies. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2022;8(1):638–667. https://doi.org/10.32628/CSEIT2281226

[187] Dagodzo D, Ahiaeke Patrick MC. A framework for integrating drone operations into enterprise GIS systems for utility companies. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2023;9(4):924–957. https://doi.org/10.32628/CSEIT23564536

[188] Dagodzo D, Ahiaeke Patrick MC. A review of UAV regulatory frameworks in developing economies: Progress, gaps, and recommendations. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2023;9(4):958–994. https://doi.org/10.32628/CSEIT23564537

[189] Dagodzo D, Ahiaeke Patrick MC. A framework for national-scale UAV deployment in power infrastructure: Lessons from developing economies. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2025;11(4):779–824. https://doi.org/10.32628/CSEIT251116286

[190] Dagodzo D, Ahiaeke Patrick MC, Aliliele C. AI and deep learning for vegetation classification in power corridor management: A review. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2022;8(1):668–698. https://doi.org/10.32628/CSEIT2281227

[191] Eruchalu CN, Pichardo MS, Bharadwaj M, Rodriguez CB, Rodriguez JA, Bergmark RW, et al. The expanding digital divide: Digital health access inequities during the COVID-19 pandemic in New York City. Journal of Urban Health. 2021;98(2):183–186. https://doi.org/10.1007/s11524-020-00508-9

[192] Kellam SG. Developing and maintaining partnerships as the foundation of implementation and implementation science: Reflections over a half century. Administration and Policy in Mental Health. 2012;39(4):317–320. https://doi.org/10.1007/s10488-011-0402-3

[193] Lee RM, Torres CH, Daly JG, Thomas A, Castro FG. Community partner coauthorship for increased implementation science impact: Strengthening capacity and engagement. Journal of Clinical and Translational Science. 2024;8(1):e128. https://doi.org/10.1017/cts.2024.574

[194] Mbonu IS, Aliliele C, Iwuanyanwu U, Uzoka E. Advances in artificial intelligence techniques for secure software testing and automated regression control mechanisms. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2021;7(5):468–496. https://doi.org/10.32628/CSEIT217565

[195] Okonkwo CS, Mayo W, Okeke OT. Conceptual model for asset lifecycle management and inventory visibility. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2023;10(1):809–824. https://doi.org/10.32628/CSEIT2391568

[196] Oyeleye AO, Eyetsemitan RA, Ambali KB, Fadayomi O. Reducing client onboarding cycle time in small professional services firms: A lean Six Sigma process redesign framework. Gyanshauryam, International Scientific Refereed Research Journal. 2022;5(2):467–498. https://doi.org/10.32628/GISRRJ225357

[197] Perez LG, Merle JL, Smith JD, Dopp AR, Huebschmann AG. IM4Equity: An implementation science meta-framework for community-engaged partnerships to advance health equity. BMC Health Services Research. 2025;25(1):437. https://doi.org/10.1186/s12913-025-12537-8

[198] Rural Health Information Hub. Healthcare access in rural communities. RHIhub; 2024. https://www.ruralhealthinfo.org/topics/healthcare-access

[199] Rural Health Information Hub. Telehealth and health information technology in rural healthcare. RHIhub; 2024. https://www.ruralhealthinfo.org/topics/telehealth-health-it

[200] Seun A, Ajayi A, Elumilade RA, Bobga MA, Yeboah TJ, Ofori SD, et al. PearlAI: Hyperpersonalization and hyperlocalization as new AI affordances in basic education. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2024;10(6):2553–2568. https://doi.org/10.32628/CSEIT25113574

[201] Seun A, Ajayi A, Yeboah TJ, Ofori SD, Elumilade RA, Apelehin AA, et al. The PearlAI framework: Leveraging artificial intelligence to transform education in Africa. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2024;10(3):1120–1132. https://doi.org/10.32628/CSEIT25113581

[202] Sánchez V, Sanchez-Youngman S, Dickson E, Burgess E, Haozous E, Trickett E, et al. CBPR implementation framework for community-academic partnerships. American Journal of Community Psychology. 2021;68(1–2):3–17. https://doi.org/10.1002/ajcp.12506

[203] The Colorado Trust. Health equity and language access: Building language access in Colorado's health system. The Colorado Trust; 2015. https://www.coloradotrust.org/wp-content/uploads/2015/03/CT_LanguageAccessBrief_final-1.pdf

[204] U.S. Department of Health and Human Services. Providing language services to diverse populations: Lessons from the field. CMS Office of Minority Health; 2022. https://www.cms.gov/About-CMS/Agency-Information/OMH/Downloads/Lessons-from-the-Field-508.pdf

[205] U.S. Government Accountability Office. Why health care is harder to access in rural America. GAO; 2024. https://www.gao.gov/blog/why-health-care-harder-access-rural-america

[206] University of Minnesota Rural Health Research Center. Barriers to health care access for rural Medicare beneficiaries. UMN RHRC; 2021. https://rhrc.umn.edu/wp-content/uploads/2021/01/UMN-RHC-Access-to-Care-PB_1.20.pdf

[207] Villalobos A, Blachman-Demner D, Monje J. Community and partner engagement in dissemination and implementation research at the national institutes of health. Implementation Science Communications. 2023;4:118. https://doi.org/10.1186/s43058-023-00462-y

[208] Weitzman Institute. Language access and healthcare equity: Bridging the gap for limited English proficiency patients. Weitzman Institute; 2023. https://www.weitzmaninstitute.org/language-access-and-healthcare-equity-bridging-the-gap-for-limited-english-proficiency-lep-patients/

[209] Wolff JL, Dukhanin V, Burgdorf JG, DesRoches CM. Shared access to patient portals for older adults: Implications for privacy and equity. JMIR Aging. 2022;5(2):e34628. https://doi.org/10.2196/34628

[210] Yoon E, Hur S, Curtis LM. Disparities in patient portal use among adults with chronic conditions. JAMA Network Open. 2024;7(2):e240680. https://doi.org/10.1001/jamanetworkopen.2024.0680

[211] Kaboli P, Rosenblatt RA, Ackermann RT. Health care access from the rural perspective: A narrative review. Journal of Rural Health. 2026;42(1):e70012. https://doi.org/10.1111/jrh.70012

[212] Adegbite MP, Adebayo A, Ahmed MO. An AI driven security operations architecture for utility sector SOCs: Integrating threat intelligence, behavioral analytics, and automated response. International Journal of Engineering and Modern Technology. 2024;10(11):197–256. https://doi.org/10.56201/ijemt.v10.no11.2024.pg197.256

[213] Knowles M, Crowley AP, Vasan A, Kangovi S. Community health worker integration with and in health care and public health: A review. Annual Review of Public Health. 2023;44:363–381. https://doi.org/10.1146/annurev-publhealth-071521-031648

[214] National Association of Chronic Disease Directors. Evaluating the effectiveness of public health communications campaigns. NACCHO; 2022. https://www.naccho.org/uploads/downloadable-resources/Webinar-2-Evaluation-Part-I.pdf

[215] Rosa WE, Izumi S, Sullivan-Marx E. Community-based participatory research: A lifeline to person-centred care. Frontiers in Public Health. 2025;13:1693459. https://doi.org/10.3389/fpubh.2025.1693459

[216] Sanni JO, Attah A. Market research frameworks addressing entry barriers within highly regulated industrial service sectors. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2023;10(2):904–930. https://doi.org/10.32628/CSEIT2342439

[217] Sun M, Qian Y, Liu L, Wang J, Zhuansun M, Xu T, et al. Transition of care from hospital to home for older people with chronic diseases: A qualitative study of older patients' and health care providers' perspectives. Frontiers in Public Health. 2023;11:1128885. https://doi.org/10.3389/fpubh.2023.1128885

[218] Wellsky C, Barnhart A. Five proven strategies to evaluate public health campaigns. KW2 Communications; 2023. https://kw2marketing.com/articles/five-proven-strategies-public-health-campaigns

[219] Feinberg IZ, Owen-Smith A, O'Connor MH, Ogrodnick MM, Rothenberg R, Eriksen MP. Strengthening culturally competent health communication. Health Security. 2021;19(S1):S-41-S-49. https://doi.org/10.1089/hs.2021.0048

[220] Westra BL, Solomon D, Ashley DM. Use of the Omaha System data to validate Medicare required outcomes in home care. Journal of Healthcare Information Management. 2006;20(4):76–84.

[221] Igartua JJ, Vega Casanova J. Identification with characters, elaboration, and counterarguing in entertainment-education interventions through audiovisual fiction. Journal of Health Communication. 2016;21(3):293–300. https://doi.org/10.1080/10810730.2015.1064494

[222] Berry JG, Hall M, Dumas H, Simpser E, Whitford K, O'Neill M. Pediatric hospital discharges to home health and postacute facility care: A national study. JAMA Pediatrics. 2016;170(4):326–333. https://doi.org/10.1001/jamapediatrics.2015.4836

[223] Institute of Medicine. Crossing the quality chasm: A new health system for the 21st century. National Academies Press; 2001. https://doi.org/10.1136/bmj.323.7322.1192

[224] Rennke S, Ranji SR. Transitional care strategies from hospital to home: A review for the neurohospitalist. The Neurohospitalist. 2015;5(1):35–42. https://doi.org/10.1177/1941874414540683

[225] Ogbete JC, Aminu-Ibrahim AY, Iwuanyanwu OC. Integrating healing-centered design principles into diagnostic and laboratory facility planning. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2025;11(6):516–553. https://doi.org/10.32628/CSEIT251117149

[226] Ogundairo KM, Ayivi-Donkor SS. Telemetry-driven value realization: Infusing economic evaluation algorithms directly into enterprise data pipelines. International Journal of Economics and Financial Management. 2023;8(8):195–232. https://doi.org/10.56201/ijefm.v8.no8.2023.pg195.232

[227] Aliliele C, Mbonu IS, Iwuanyanwu U. A conceptual framework for continuous cloud misconfiguration monitoring and enterprise risk mitigation strategies. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2023;9(10):373–394. https://doi.org/10.32628/CSEIT2361071

[228] Aliliele C, Mbonu IS, Iwuanyanwu U. A review of API governance and risk prioritization frameworks in modern financial institutions. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2023;9(10):395–433. https://doi.org/10.32628/CSEIT2361072

[229] Aliliele C, Mbonu IS, Iwuanyanwu U. Advances in predictive analytics models for student retention and institutional risk management systems. International Journal of Advanced Multidisciplinary Research and Studies. 2023;3(6):2692–2711. https://doi.org/10.62225/2583049X.2023.3.6.5990

[230] Bello A, Akomolafe O, Agu MU. A conceptual framework for data-driven procurement risk management in multinational enterprises. International Journal of Advanced Multidisciplinary Research and Studies. 2023;3(6):2307–2316. https://doi.org/10.62225/2583049X.2023.3.6.5363

[231] Eboh EE, Aliliele C. Predictive analytics systems for investment risk monitoring in SME FinTech companies and cross-border capital markets. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2025;11(2):3969–4010. https://doi.org/10.32628/CSEIT25113398

[232] Mbonu IS, Iwuanyanwu U, Aliliele C, Uzoka E. A conceptual framework for agile supply chain digital transformation with embedded IT risk and ISO compliance controls. Iconic Research and Engineering Journals. 2020;3(11):566–593. https://doi.org/10.64388/IREV3I11-1714916

[233] Mbonu IS, Iwuanyanwu U, Aliliele C, Uzoka E. A review of data protection impact assessment models in multi cloud financial infrastructure systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2022;8(1):589–623. https://doi.org/10.32628/CSEIT25442

[234] Obriki OD, Arumosoye OM. Conceptual modeling of data-driven occupational safety risk control in large-scale energy infrastructure projects. Iconic Research and Engineering Journals. 2018;1(7):169–189. https://doi.org/10.64388/IREV1I7-1714414

[235] Oloto AM, Yeboah TJ. Developing conceptual risk assessment models for special education documentation and accountability systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2025;11(4):691–734. https://doi.org/10.32628/CSEIT251116283

[236] Sunday EA, Omoegun GO, Essien MA, Oluokun OA. Transitioning from reactive to predictive maintenance in mechanical systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2020;6(6):425–447. Autonomous Mobile Robotics and Warehouse Automation.

[237] Schwartz ML, Kosar CM, Mroz TM, Kumar A, Rahman M. Quality of home health agencies serving traditional Medicare vs Medicare advantage beneficiaries. JAMA Network Open. 2019;2(9):e1910622. https://doi.org/10.1001/jamanetworkopen.2019.10622

[238] Kuluski K, Kokorelias KM, Peckham A. Twelve principles to support caregiver engagement in health care systems and health research. Patient Experience Journal. 2019;6(2):97–105. https://doi.org/10.35680/2372-0247.1350

[239] Lyles CR, Nguyen OK, Khoong EC, Aguilera A, Sarkar U. Multilevel determinants of digital health equity: A literature synthesis to advance the field. Annual Review of Public Health. 2023;44:383–405. https://doi.org/10.1146/annurev-publhealth-071521-023913

[240] Sanni JO, Ajiga D, Atima ME. Systematic review of product management strategies in mobile network rollouts across emerging markets. International Journal of Multidisciplinary Research and Growth Evaluation. 2020;1(5):661–673. https://doi.org/10.54660/IJMRGE.2020.1.5.661-673

[241] Willis N, Hill S, Kaufman J, Lewin S, Kis-Rigo J, De Castro Freire SB, et al. 'Communicate to vaccinate': The development of a taxonomy of communication interventions to improve routine childhood vaccination. BMC International Health and Human Rights. 2013;13:23. https://doi.org/10.1186/1472-698X-13-23

[242] Sanni JO, Atima ME. Analytics driven go to market frameworks addressing compliance sustainability complexity. International Journal of Multidisciplinary Research and Growth Evaluation. 2021;2(6):647–660. https://doi.org/10.54660/.ijmrge.2021.2.6.647-660

[243] Akomolafe O, Agu MU, Bello A. A conceptual model for advancing risk governance through data-driven compliance analytics in financial institutions. Journal of Accounting and Financial Management. 2025;11(11):211–228. https://doi.org/10.56201/jafm.vol.11.no11.2025.pg211.228

[244] Merritt MW, Williams RB. Community health worker navigation for patients with cancer: It is time to scale up. CHW Central. https://chwcentral.org/resources/community-health-worker-navigation-for-patients-with-cancer-it-is-time-to-scale-up/; 2023. https://doi.org/10.1200/jco.23.01723

[245] Mikels JA, Taing GH, Ressler RB. The central role of affect in health message framing. Journal of Health Communication. 2020;25(10):758–766. https://doi.org/10.1080/10810730.2020.1838001

[246] Obriki OD, Arumosoye OM. Conceptual framework for proactive hazard identification using digital safety data streams. Gyanshauryam, International Scientific Refereed Research Journal. 2023;6(3):457–481. https://doi.org/10.32628/GISRRJ236336

[247] Van Houtven CH, Smith VA, Lindquist JH, Chapman JG, Oddone EZ, Weinberger M, et al. Family caregiver skills training to improve experiences of care: A randomized clinical trial. Journal of General Internal Medicine. 2019;34(10):2111–2118. https://doi.org/10.1007/s11606-019-05209-x

[248] Okwesa IJ, Unamma UML, Ashore-Onisemo F, Oyesiji SO. Predictive analytics in banking: Regulatory reporting, supervision, and portfolio oversight, advances and future opportunities. Int J Res Publ Rev. 2026;7(9).

[249] Unamma UML, Okwesa IJ, Iwuanyanwu U, Ajiga D. An offline-first design framework for digital learning in low-connectivity environments. Iconic Res Eng J. 2018;2(3):192–211. https://doi.org/10.64388/IREV2I3-1722627

[250] Okwesa IJ, Oyesiji SO, Umar A. Digital transformation of workforce and scheduling systems. Shodhshauryam Int Sci Refereed Res J. 2023;6(6).

[251] Ayivi-Donkor SS. Financial brand architecture optimization: Portfolio analysis and economic value. Gulf J Adv Bus Res. 2026;4(3):145–164.

[252] Okoli I, Kinyanjui A, Mensah KO, Agboada P, Pedro O. Data-driven auditing in payroll and receivables: Predictive models for enhancing accuracy in financial statement validation. Int J Sci Res Comput Sci Eng Inf Technol. 2022;8(5):851–889. https://doi.org/10.32628/CSEIT23902204

[253] Pedro O, Kinyanjui A, Okoli I, Mensah KO, Agboada P. Advances in digital lending profitability and financial inclusion strategies in emerging markets. Int J Sci Res Comput Sci Eng Inf Technol. 2024;10(4):1207–1243. https://doi.org/10.32628/CSEIT251116287

[254] Okoli I, Pedro O, Kinyanjui A, Mensah KO, Agboada P. Predictive loan default analytics: Machine learning for early-warning detection and recovery optimization in commercial lending portfolios. Shodhshauryam Int Sci Refereed Res J. 2022;5(5):535–585. https://doi.org/10.32628/SHISRRJ225897

[255] Mensah KO, Kinyanjui A, Okoli I, Agboada P, Pedro O. Advances in asset liability management and interest rate risk modeling in retail and investment banking. IRE J. 2023;6(9):583–618. https://doi.org/10.64388/IREV6I9-1723268

[256] Mensah KO, Pedro O, Kinyanjui A, Okoli I, Agboada P. A conceptual model for integrated enterprise risk management and capital allocation in financial institutions. IRE J. 2019;3(1):684–719. https://doi.org/10.64388/IREV3I1-1723266

[257] Mensah KO, Pedro O, Kinyanjui A, Okoli I, Agboada P. A review of capital adequacy frameworks and risk weighted asset optimization in modern banking systems. IRE J. 2019;3(6):731–768. https://doi.org/10.64388/IREV3I6-1723267

[258] Mensah KO, Kinyanjui A, Okoli I, Agboada P, Pedro O. A conceptual model for regulatory compliance cost efficiency and sustainable financial performance. Int J Technol. 2025;1(2):329–349.

[259] Kinyanjui A, Okoli I, Pedro O, Mensah KO, Agboada P. From audit associate to senior: A leadership-oriented study on driving reporting accuracy and efficiency gains in complex audit environments. Int J Multidiscip Res Growth Eval. 2024;5(6):2130–2149. https://doi.org/10.54660/IJMRGE.2024.5.6.2130-2149

[260] Mensah KO, Kinyanjui A, Pedro O, Okoli I, Agboada P. Advances in AI driven credit risk modeling and predictive loan default analytics in commercial banking. Int J Multidiscip Res Growth Eval. 2022;3(6):1258–1280. https://doi.org/10.54660/IJMRGE.2022.3.6.1258-1280

[261] Kinyanjui A, Pedro O, Okoli I, Mensah KO, Agboada P. A review of ESG integration and climate risk disclosure effects on bank valuation and financial stability. Int J Multidiscip Res Growth Eval. 2021;2(6):1244–1267. https://doi.org/10.54660/IJMRGE.2021.2.6.1244-1267

[262] Asibor E, Ninduwezuor-Ehiobu N, Olisakwe HC. Integrating HAZOP, reliability analysis, and risk-based decision-making into critical energy infrastructure design. Int J Sci Res Comput Sci Eng Inf Technol. 2023;9(1):958–999. https://doi.org/10.32628/CSEIT2391574

[263] Asibor E, Isong DE. Risk-based process engineering framework for strengthening reliability across complex natural gas infrastructure systems. IRE J. 2019;3(2):1020–1060. https://doi.org/10.64388/IREV3I2-1723153

[264] Asibor E, Isong DE. Flare-gas recovery technologies for advancing energy security, environmental performance, and resource efficiency. IRE J. 2020;4(1):369–410. https://doi.org/10.64388/IREV4I1-1723154

[265] Asibor E, Olisakwe HC. Methane emissions reduction strategies for safer and more efficient petroleum production operations. Int J Multidiscip Res Growth Eval. 2022;3(4):739–763. https://doi.org/10.54660/IJMRGE.2022.3.4.739-763

[266] Asibor E, Olisakwe HC, Isong DE, Uwagboe FM, Amarahobu C. Techno-economic framework for converting routinely flared gas into marketable energy products and feedstocks. Int J Res Publ Rev. 2026;7(9):3255–3283. https://doi.org/10.55248/gengpi.07.0926.3004

[267] Asibor E. Artificial intelligence applications for detecting process failures across oil and gas facilities. Int J Technol. 2025;1(2):350–373.

@article{1724091,
      author = {Helen Emoh Abutu, Opeyemi Alawode},
      title = {Entertainment Driven Health Communication and the Separation of Narrative Music and Celebrity Effects},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {11},
      pages = {601-629},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1724091.pdf},
      abstract = {Entertainment offers several ways to communicate health information, but narrative, music and celebrity involvement should not be treated as a single intervention. This conceptual analysis examines literature published through 2020 and develops a framework linking a specified vehicle to an explanatory mechanism and a measurable health action. Narrative theory, campaign meta-analysis and research on celebrity advice provide different forms of evidence. They support distinctions among audience exposure, attention, comprehension, intention and action, rather than a general claim of entertainment effectiveness. The proposed framework identifies the comparison needed to separate vehicle effects, records the enabling conditions for action and treats digital distribution as a delivery context. A component comparison is outlined for testing narrative and communicator contributions while holding health content constant. The main contribution is an assessment structure for distinguishing a communication response from a completed health behaviour. The framework has not been empirically validated, and the selected literature does not supply a pooled estimate for its combined components.},
      keywords = {entertainment-education; narrative persuasion; parasocial influence; celebrity health advocacy; music and health; digital media; health behavior; measurement},
      month = {May},
      doi = {https://doi.org/10.64388/IREV3I11-1724091}
  }