Mapping Self-Care Interventions for Improving Quality of Life Among Patients with Hypertension: A Scoping Review

Authors

  • Citra Reza Pujikurniawati Faculty of Nursing, Padjadjaran University, Bandung, West Java, Indonesia
  • Kusman Ibrahim Faculty of Nursing, Padjadjaran University, Bandung, West Java, Indonesia
  • Chandra Isabella Hostanida Purba Faculty of Nursing, Padjadjaran University, Bandung, West Java, Indonesia
  • Naufal Hafizh Fauzan Faculty of Nursing, Padjadjaran University, Bandung, West Java, Indonesia

DOI:

https://doi.org/10.55018/janh.v8i2.642

Keywords:

Hypertension, Self-Care, Self-Management, Quality of Life, Multidisciplinary Care, Scoping Review

Abstract

Background: Hypertension is a leading cause of cardiovascular disease and premature death worldwide. Despite the growing use of multidisciplinary self-care interventions to support patient-centred hypertension management, evidence on their effectiveness in improving quality of life remains fragmented. This scoping review aims to map and synthesise the available evidence on the effectiveness of self-care–based interventions in improving the quality of life of patients with hypertension.

Methods: This scoping review followed PRISMA-ScR guidelines, the PCC framework, and the JBI-refined Arksey & O’Malley methodology. Literature searches were conducted in PubMed, ScienceDirect, Scopus, and EBSCOhost (2021–2026). Eligible studies included experimental studies and systematic reviews involving treated hypertensive patients. After independent PRISMA-based screening by four reviewers, 13 articles were included. Data were appraised using JBI tools and synthesised through thematic analysis to classify intervention models by lead professionals, delivery modes, and key self-care components.

Results: From 1,328 identified records, the literature spans a broad international scope; however, it remains dominated by studies originating in High-Income Countries (HICs) or those using advanced digital health infrastructures. In contrast, evidence on the specific impact of these interventions on quality of life in Low- and Middle-Income Countries (LMICs), including Indonesia, remains relatively limited. The synthesis results identified three main categories of self-care-based intervention models: (1) professional-led models (facilitated by nurses, pharmacists, physicians, or community health workers and multidisciplinary collaborative care models), (2) digital health delivery modes (including mHealth, tele-nursing, and hybrid models), and (3) structured self-care components (focusing on self-monitoring, medication management, lifestyle modification, and psychosocial support). Although these models have proven effective in significantly lowering systolic and diastolic blood pressure while enhancing patient self-efficacy and quality of life, a research gap remains regarding the lack of direct comparative analysis between models in resource-limited settings and the systematic evaluation of long-term psychosocial outcomes.

Conclusion: Nurse-led, multidisciplinary, and technology-supported interventions can improve blood pressure control and quality of life in hypertension. Future research should evaluate their effectiveness and efficiency across different settings, particularly in Indonesia.

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References

Adams, R. J., Smart, P., & Huff, A. S. (2017). Shades of Grey: Guidelines for Working with the Grey Literature in Systematic Reviews for Management and Organizational Studies. International Journal of Management Reviews, 19(4), 432–454. https://doi.org/10.1111/ijmr.12102

Akay, E. M. Z., Hilbert, A., Carlisle, B. G., Madai, V. I., Mutke, M. A., & Frey, D. (2023). Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke: A Systematic Review. Stroke, 54(6), 1505–1516. https://doi.org/10.1161/STROKEAHA.122.041442

Alijanpour, S., Bahramnezhad, F., Mowla, A., Sabet, M. S., & Nayeri, N. D. (2025). Updated Protocol for Stroke Code Management in Prehospital Settings: The Iranian Comprehensive Stroke Code Management Program (ICSCM Phase II). Archives of Academic Emergency Medicine, 13(1), 1–16. https://doi.org/10.22037/aaemj.v13i1.2633

Antunes, R., Costeira, C., Pereira Sousa, J., & Santos, C. (2024). The Contribution of the Triage Nurse in the Optimisation of Door-to-Computed-Tomography Time in Stroke. Nursing Reports, 14(3), 1769–1780. https://doi.org/10.3390/nursrep14030131

Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology: Theory and Practice, 8(1), 19–32. https://doi.org/10.1080/1364557032000119616

Astasio-Picado, Á., Jurado-Palomo, J., & Rodriguez-Urbaneja, C. F. (2025). Impact of Stroke Code Activation on Functional Outcomes and the Role of Nursing in Neurorehabilitation: A Systematic Review. Neurology International, 17(11), 175. https://doi.org/10.3390/neurolint17110175

Baldereschi, M., Piccardi, B., Di Carlo, A., Lucente, G., Guidetti, D., Consoli, D., Provinciali, L., Toni, D., Sacchetti, M. L., Polizzi, B. M., & Inzitari, D. (2012). Relevance of prehospital stroke code activation for acute treatment measures in stroke care: A review. Cerebrovascular Diseases, 34(3), 182–190. https://doi.org/10.1159/000341856

Baydoun, A., Jia, A. Y., Zaorsky, N. G., Kashani, R., Rao, S., Shoag, J. E., Vince, R. A., Bittencourt, L. K., Zuhour, R., Price, A. T., Arsenault, T. H., & Spratt, D. E. (2024). Artificial intelligence applications in prostate cancer. Prostate Cancer and Prostatic Diseases, 27(1), 37–45. https://doi.org/10.1038/s41391-023-00684-0

Bentley, S., Feldman, N., Boehm, L., Zavala, M., Dilos, B., McIndoe, M., Nagaswar, L., Walker, K., Bell, D., Nazarian, D., Rabinovich, J., Kessler, S., Iavicoli, L., Fairweather, P., Farraye, J., & Shoirah, H. (2021). Stroke Code From EMS to Thrombectomy: An Interdisciplinary In Situ Simulation for Prompt Management of Acute Ischemic Stroke. MedEdPORTAL : The Journal of Teaching and Learning Resources, 17, 11177. https://doi.org/10.15766/mep_2374-8265.11177

Buleu, F., Popa, D., Williams, C., Tudor, A., Sutoi, D., Trebuian, C., Ioan, C. C., Iancu, A., Cozma, G., Marin, A. M., Pah, A. M., Petre, I., & Mederle, O. A. (2024). Code Stroke Alert: Focus on Emergency Department Time Targets and Impact on Door-to-Needle Time across Day and Night Shifts. Journal of Personalized Medicine, 14(6). https://doi.org/10.3390/jpm14060596

Buus, N., Nygaard, L., Berring, L. L., Hybholt, L., Kamionka, S. L., Rossen, C. B., Søndergaard, R., & Juel, A. (2022). Arksey and O′Malleyʼs consultation exercise in scoping reviews: A critical review. Journal of Advanced Nursing, 78(8), 2304–2312. https://doi.org/10.1111/jan.15265

Correia, P. N., Roy, J., Haumesser, C., Touma, L., Jacquin, G., Poppe, A. Y., Deschaintre, Y., & Carpentier, A. V. (2025). Extended Delays in Recognition of Stroke Symptoms and Stroke Code Activation for In-Hospital Strokes: The DELAY Study. Canadian Journal of Neurological Sciences, 52(3), 502–509. https://doi.org/10.1017/cjn.2024.304

Ebker-White, A., Dinh, M., Paver, I., Bein, K., Tastula, K., Gattellari, M., & Worthington, J. (2022). Evaluating Stroke Code Activation Pathway in Emergency Departments study. EMA - Emergency Medicine Australasia, 34(6), 976–983. https://doi.org/10.1111/1742-6723.14032

Esteva, A., Feng, J., van der Wal, D., Huang, S. C., Simko, J. P., DeVries, S., Chen, E., Schaeffer, E. M., Morgan, T. M., Sun, Y., Ghorbani, A., Naik, N., Nathawani, D., Socher, R., Michalski, J. M., Roach, M., Pisansky, T. M., Monson, J. M., Naz, F., … Mohamad, O. (2022). Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. Npj Digital Medicine, 5(1). https://doi.org/10.1038/s41746-022-00613-w

Feigin, V. L., Stark, B. A., Johnson, C. O., Roth, G. A., Bisignano, C., Abady, G. G., Abbasifard, M., Abbasi-Kangevari, M., Abd-Allah, F., Abedi, V., Abualhasan, A., Abu-Rmeileh, N. M. E., Abushouk, A. I., Adebayo, O. M., Agarwal, G., Agasthi, P., Ahinkorah, B. O., Ahmad, S., Ahmadi, S., … Murray, C. J. L. (2021). Global, regional, and national burden of stroke and its risk factors, 1990-2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 20(10), 1–26. https://doi.org/10.1016/S1474-4422(21)00252-0

Fowler, M., Hafen, H., Aucoin, M. D., Chatwin, S., & Johnson, P. (2024). Abstract WP38: Nurse-Driven Emergency Evaluation Improves Timely Acute Stroke Response. Stroke, 55(Suppl_1). https://doi.org/10.1161/str.55.suppl_1.wp38

Hasan, T. F., Hasan, H., & Kelley, R. E. (2021). Overview of acute ischemic stroke evaluation and management. Biomedicines, 9(10). https://doi.org/10.3390/biomedicines9101486

Hunaifi, I., Suryani, D., Rizki, M., Yudhanto, D., Cahyawati, T. D., Harahap, H. S., & Sahidu, M. G. (2023). The PENINGKATAN KAPASITAS PELAYANAN PENANGANAN STROKE ISKEMIK AKUT MELALUI PELATIHAN CODE STROKE DI RS UNIVERSITAS MATARAM. Jurnal Abdi Insani, 10(3), 1371–1380. https://doi.org/10.29303/abdiinsani.v10i3.1029

Jamtli, B., Svendsen, E. J., Jørgensen, T. M., Kramer-Johansen, J., Hov, M. R., & Hardeland, C. (2024). Factors affecting emergency medical dispatchers decision making in stroke calls – a qualitative study. BMC Emergency Medicine, 24(1). https://doi.org/10.1186/s12873-024-01129-0

Janssen, P. M., Venema, E., & DIppel, Di. W. J. (2019). Effect of workflow improvements in endovascular stroke treatment: A systematic review and meta-analysis. Stroke, 50(3), 665–674. https://doi.org/10.1161/STROKEAHA.118.021633

Joanna Briggs Institute. (2024). JBI Manual for Evidence Synthesis. In E. Aromataris, C. Lockwood, K. Porritt, B. Pilla, & Z. Jordan (Eds.), JBI Manual for Evidence Synthesis. JBI; 2024. https://doi.org/10.46658/jbimes-24-01

Kamal, N., Smith, E. E., Jeerakathil, T., & Hill, M. D. (2018). Thrombolysis: Improving door-to-needle times for ischemic stroke treatment – A narrative review. International Journal of Stroke, 13(3), 268–276. https://doi.org/10.1177/1747493017743060

Kementerian Kesehatan Republik Indonesia, (KEMENKES). (2018). Laporan Nasional Riset Kesehatan Dasar. In Laporan Nasional Riskesdas 2018. Lembaga Penerbit Badan Penelitian dan Pengembangan Kesehatan. http://www.yankes.kemkes.go.id/assets/downloads/PMK No. 57 Tahun 2013 tentang PTRM.pdf

Kitchenham, B., Madeyski, L., & Budgen, D. (2023). How Should Software Engineering Secondary Studies Include Grey Material? IEEE Transactions on Software Engineering, 49(2), 872–882. https://doi.org/10.1109/TSE.2022.3165938

Koca, G., Kumar, M., Gubitz, G., & Kamal, N. (2023). Optimizing acute stroke treatment process: insights from sub-tasks durations in a prospective observational time and motion study. Frontiers in Neurology, 14. https://doi.org/10.3389/fneur.2023.1253065

Kuczynski, A. M., Freeman, W. D., Mooney, L. H., Huang, J. F., Demchuk, A. M., & Khosravani, H. (2025). The In-Hospital Code Stroke: A Look Back and the Road Ahead. Neurohospitalist , 15(2), 124–132. https://doi.org/10.1177/19418744241298035

Liang, X., Gao, W., Xu, J., Saymuah, S., Wang, X., Wang, J., Zhao, W., Xing, X., Wang, C., Liu, F., Feng, L., & Li, S. (2022). Triage Nurse-Activated Emergency Evaluation Reduced Door-to-Needle Time in Acute Ischemic Stroke Patients Treated with Intravenous Thrombolysis. Evidence-Based Complementary and Alternative Medicine, 2022, 9199856. https://doi.org/10.1155/2022/9199856

Liao, S., Qian, G., Huang, H., & Fu, H. (2025). Global trends and future projections of migraine burden in children aged 5 to 14 from 1990 to 2050. Frontiers in Neurology, 16, 1641599. https://doi.org/10.3389/fneur.2025.1641599

Martinez-Gutierrez, J. C., Kim, Y., Salazar-Marioni, S., Tariq, M. B., Abdelkhaleq, R., Niktabe, A., Ballekere, A. N., Iyyangar, A. S., Le, M., Azeem, H., Miller, C. C., Tyson, J. E., Shaw, S., Smith, P., Cowan, M., Gonzales, I., McCullough, L. D., Barreto, A. D., Giancardo, L., & Sheth, S. A. (2023). Automated Large Vessel Occlusion Detection Software and Thrombectomy Treatment Times A Cluster Randomized Clinical Trial. JAMA Neurology, 80(11), 1182–1190. https://doi.org/10.1001/jamaneurol.2023.3206

Mehdizadehfar, E., Sadeghi Hokmabadi, E., Taheraghdam, A., Sadeghpour, Y., Khabbaz, A., Hosseinzadeh, N., Mehdizadeh, R., Ala, A., Shams Vahdati, S., Jafari-Rouhi, A., Mohammadzadeh, N., Rostami, R., Farhoudi, M., & Rahnemayan, S. (2024). Optimizing Acute Ischemic Stroke Care: Evaluating Emergency Stroke Code Activation and Thrombolytic Therapy in East Azerbaijan Province. Archives of Neuroscience, 11(4), 10 5812--147803. https://doi.org/10.5812/ans-147803

Morey, J. R., Zhang, X., Yaeger, K. A., Fiano, E., Marayati, N. F., Kellner, C. P., De Leacy, R. A., Doshi, A., Tuhrim, S., & Fifi, J. T. (2021). Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients. Cerebrovascular Diseases, 50(4), 450–455. https://doi.org/10.1159/000515320

Nussbaumer-Streit, B., Klerings, I., Dobrescu, A. I., Persad, E., Stevens, A., Garritty, C., Kamel, C., Affengruber, L., King, V. J., & Gartlehner, G. (2020). Excluding non-English publications from evidence-syntheses did not change conclusions: a meta-epidemiological study. Journal of Clinical Epidemiology, 118, 42–54. https://doi.org/10.1016/j.jclinepi.2019.10.011

Olson, D. M., Provencher, M., Stutzman, S. E., Hynan, L. S., Novakovic, S., Guttikonda, S., Figueroa, S., Novakovic-White, R., Yang, J. P., & Goldberg, M. P. (2022). Outcomes From a Nursing-Driven Acute Stroke Care Protocol for Telehealth Encounters. Journal of Emergency Nursing, 48(4), 406–416. https://doi.org/10.1016/j.jen.2022.01.013

Peters, M. D. J., Marnie, C., Colquhoun, H., Garritty, C. M., Hempel, S., Horsley, T., Langlois, E. V., Lillie, E., O’Brien, K. K., Tunçalp, Ӧzge, Wilson, M. G., Zarin, W., & Tricco, A. C. (2021). Scoping reviews: reinforcing and advancing the methodology and application. Systematic Reviews, 10(1), 1–6. https://doi.org/10.1186/s13643-021-01821-3

Pollock, D., Davies, E. L., Peters, M. D. J., Tricco, A. C., Alexander, L., McInerney, P., Godfrey, C. M., Khalil, H., & Munn, Z. (2021). Undertaking a scoping review: A practical guide for nursing and midwifery students, clinicians, researchers, and academics. Journal of Advanced Nursing, 77(4), 2102–2113. https://doi.org/10.1111/jan.14743

Powell, K., Hebb, A., & Hackett, C. T. (2025). Nursing-Led Quality Improvement Project Achieves 30-Minute Door-to-Needle Time. Journal of Emergency Nursing, S0099-1767. https://doi.org/10.1016/j.jen.2025.10.013

Raju, S., Hau, C., Woods, P., Flynn, M., Sadatis, C., McPherson, J., Tella, A., Ishani, A., Ferguson, R. E., & Leatherman, S. M. (2023). Ascertainment of stroke from administrative data to support a pragmatic embedded clinical trial. Contemporary Clinical Trials, 130, 107214. https://doi.org/10.1016/j.cct.2023.107214

Rasyid, A., Kurniawan, M., Mesiano, T., Hidayat, R., Rilianto, B., & Harris, S. (2022). Performance of door-to-CT time of code stroke in Indonesian tertiary referral center hospital. Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 58(1), 1–5. https://doi.org/10.1186/s41983-022-00583-6

Saver, J. L. (2006). Time is brain - Quantified. Stroke, 37(1), 263–266. https://doi.org/10.1161/01.STR.0000196957.55928.ab

Seah, H. M., Burney, M., Phan, M., Shell, D., Wu, J., Zhou, K., Brooks, O., Coulton, B., Maingard, J., Tang, J., Yazdabadi, G., Tahayori, B., Barras, C., Kok, H. K., Chandra, R., Thijs, V., Brooks, D. M., & Asadi, H. (2019). CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management. Frontiers in Neurology, 10. https://doi.org/10.3389/fneur.2019.00725

Song, S., Diebolt, E., Livesay, S., Gonzaga-Reardon, M., Hondros, L., Lynch, D., & Conners, J. (2016). Nurse-Activated Acute Stroke Codes in the Emergency Setting Improves Process and Clinical Outcomes (S16.006). Neurology, 86(16_supplement). https://doi.org/10.1212/wnl.86.16_supplement.s16.006

Sung, S. F., Hung, L. C., & Hu, Y. H. (2021). Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning. International Journal of Medical Informatics, 152, 104505. https://doi.org/10.1016/j.ijmedinf.2021.104505

Tricco, A. C., Lillie, E., Zarin, W., O’Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D. J., Horsley, T., Weeks, L., Hempel, S., Akl, E. A., Chang, C., McGowan, J., Stewart, L., Hartling, L., Aldcroft, A., Wilson, M. G., Garritty, C., … Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Annals of Internal Medicine, 169(7), 467–473. https://doi.org/10.7326/M18-0850

Vaghari, D., Mohankumar, G., Tan, K., Lowe, A., Shering, C., Tino, P., & Kourtzi, Z. (2025). AI-guided patient stratification improves outcomes and efficiency in the AMARANTH Alzheimer’s Disease clinical trial. Nature Communications , 16(1). https://doi.org/10.1038/s41467-025-61355-3

Wenang, S., Schaefers, J., Afdal, A., Gufron, A., Geyer, S., Dewanto, I., & Haier, J. (2021). Availability and Accessibility of Primary Care for the Remote, Rural, and Poor Population of Indonesia. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.721886

Wibowo, M. F., Pyle, A., Lim, E., Ohde, J. W., Liu, N., & Karlström, J. (2025). Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study. Journal of Medical Internet Research, 27. https://doi.org/10.2196/71591

Wisni, A., Nurhidayati, E., Anton, S. R., Alifah, N., & Murdiyanto, J. (2025). Building a Code Stroke at Hospital without CT-scan Facilities. Proceeding ISETH (International Summit on Science, Technology, and Humanity), 974–980. https://doi.org/10.23917/iseth.5489

Wong, J. Z. W., Park, P. S. W., Frost, T., Stephens, K., Newk-Fon Hey Tow, F. K., Garcia, P. G., Senanayake, C., & Choi, P. M. C. (2023). Using body cameras to quantify the duration of a Code Stroke and identify workflow issues: A continuous observation workflow time study. BMJ Open, 13(1), 67816. https://doi.org/10.1136/bmjopen-2022-067816

Woodward, A., Keesler, S., Barajas, K., & Singh, P. (2024). Nurse-Led Novel Stroke Response Unit Improves Door-to-Needle Metrics and Patient Outcomes. Journal of Radiology Nursing, 43(4), 240–244. https://doi.org/10.1016/j.jradnu.2024.08.011

Zheng, Y., Guo, Z., Zhang, Y., Shang, J., Yu, L., Fu, P., Liu, Y., Li, X., Wang, H., Ren, L., Zhang, W., Hou, H., Tan, X., & Wang, W. (2022). Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine. EPMA Journal, 13(2), 285–298. https://doi.org/10.1007/s13167-022-00283-4

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2026-07-01

How to Cite

Pujikurniawati, C. R. ., Ibrahim, K. ., Purba, C. I. H. ., & Fauzan, N. H. . (2026). Mapping Self-Care Interventions for Improving Quality of Life Among Patients with Hypertension: A Scoping Review. Journal of Applied Nursing and Health, 8(2), 1002–1034. https://doi.org/10.55018/janh.v8i2.642