Effect of a Hospital-To-Home Transitional Intervention Based on an Interaction Model of Client Health Behavior for Adult Patients with Stroke

References

• Adams, H. P., Jr., Bendixen, B. H., Kappelle, L. J., Biller, J., Love, B. B., Gordon, D. L., & Marsh, E. E., 3rd. (1993). Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. Toast. Trial of Org 10172 in acute stroke treatment. Stroke, 24(1), 35–41. https://doi.org/10.1161/01.STR.24.1.35
   PubMed Web of Science ®Google Scholar
• Ahn, Y. H., & Ham, O. K. (2019). Evaluation of the interaction model of client health behavior‐based multifaceted intervention on patient activation and osteoarthritis symptoms. Japan Journal of Nursing Science, 17(2), e12306. 2020. https://doi.org/10.1111/jjns.12306
   PubMed Web of Science ®Google Scholar
• Ahn, H., Nho, J. H., Yoo, S., Kim, H., Nho, M., & Yoo, H. (2015). Effects of lifestyle intervention on fatigue, nutritional status and quality of life in patients with gynecologic cancer. Journal of Korean Academy of Nursing, 45(6), 812–822. https://doi.org/10.4040/jkan.2015.45.6.812
   PubMed Web of Science ®Google Scholar
• Aidar, F. J., Jaco de Oliveira, R., Gama de Matos, D., Chilibeck, P. D., de Souza, R. F., Carneiro, A. L., & Machado Reis, V. (2017). A randomized trial of the effects of an aquatic exercise program on depression, anxiety levels, and functional capacity of people who suffered an ischemic stroke. The Journal of Sports Medicine and Physical Fitness, 58(7–8), 1171–1177. https://doi.org/10.23736/S0022-4707.17.07284-X
   PubMed Web of Science ®Google Scholar
• Allen, K., Hazelett, S., Jarjoura, D., Hua, K., Wright, K., Weinhardt, J., & Kropp, D. (2009). A randomized trial testing the superiority of a postdischarge care management model for stroke survivors. Journal of Stroke and Cerebrovascular Diseases, 18(6), 443–452. https://doi.org/10.1016/j.jstrokecerebrovasdis.2009.02.002
   PubMed Web of Science ®Google Scholar
• Bear, M., & Bowers, C. (1998). Using a nursing framework to measure client satisfaction at a nurse-managed clinic. Public Health Nursing, 15(1), 50–59. https://doi.org/10.1111/j.1525-1446.1998.tb00321.x
   PubMed Web of Science ®Google Scholar
• Brott, T., Adams, H. P., Jr., Olinger, C. P., Marler, J. R., Barsan, W. G., Biller, J., Spilker, J., Holleran, R., Eberle, R., & Hertzberg, V. (1989). Measurements of acute cerebral infarction: A clinical examination scale. Stroke, 20(7), 864–870. https://doi.org/10.1161/01.str.20.7.864
   PubMed Web of Science ®Google Scholar
• Canadian Stroke Best Practices. (2022). New acute stroke management. Retrieved from: https://www.strokebestpractices.ca/recommendations/acute-stroke-management/definitions
   Google Scholar
• Cheng, C., Liu, X., Fan, W., Bai, X., & Liu, Z. (2018). Comprehensive rehabilitation training decreases cognitive impairment, anxiety, and depression in poststroke patients: A randomized, controlled study. Journal of Stroke and Cerebrovascular Diseases, 27(10), 2613–2622. https://doi.org/10.1016/j.jstrokecerebrovasdis.2018.05.038
   PubMed Web of Science ®Google Scholar
• Chen, L., Xiao, L. D., Chamberlain, D., & Newman, P. (2021). Enablers and barriers in hospital-to-home transitional care for stroke survivors and caregivers: A systematic review. Journal of Clinical Nursing, 30(19–20), 2786–2807. https://doi.org/10.1111/jocn.15807
   PubMed Web of Science ®Google Scholar
• Choi, E. J. (2007). Factors related to glycemic control in patients with type 2 diabetes mellitus [ Doctoral dissertation]. Yonsei University, Republic of Korea.
   Google Scholar
• Chun, N., Kim, M., & Noh, G. O. (2017). Effects of a sleep improvement program combined with aroma-necklace on sleep, depression, anxiety and blood pressure in elderly women. Journal of Korean Academy of Nursing, 47(5), 651–662. https://doi.org/10.4040/jkan.2017.47.5.651
   PubMed Web of Science ®Google Scholar
• Cobley, C. S., Fisher, R. J., Chouliara, N., Kerr, M., & Walker, M. F. (2013). A qualitative study exploring patients’ and carers’ experiences of early supported discharge services after stroke. Clinical Rehabilitation, 27(8), 750–757. https://doi.org/10.1177/0269215512474030
   PubMed Web of Science ®Google Scholar
• Cox, C. L. (1982). An interaction model of client health behavior: Theoretical prescription for nursing. Advances in Nursing Science, 5(1), 41–56. https://doi.org/10.1097/00012272-198210000-00007
   PubMedGoogle Scholar
• Finch, E., Foster, M., & Fleming, J. (2021). Disrupted biographies: Making sense of minor stroke after hospital discharge. Disability and Rehabilitation, 43(18), 2632–2639. https://doi.org/10.1080/09638288.2019.1708980
   PubMed Web of Science ®Google Scholar
• Giang, K. W., Björck, L., Ståhl, C. H., Nielsen, S., Sandström, T. Z., Jern, C., Torén, K., & Rosengren, A. (2016). Trends in risk of recurrence after the first ischemic stroke in adults younger than 55 years of age in Sweden. International Journal of Stroke, 11(1), 52–61. https://doi.org/10.1177/1747493015607519
   PubMed Web of Science ®Google Scholar
• Ha, E. H., & and Gantioque, R. (2020). Treatment of post-stroke depression in young stroke survivors. Stroke Research & Therapy, 4(1), 1–4. https://doi.org/10.36648/stroke.5.1.1
   Google Scholar
• Handayani, F., Setyowati, S., Pudjonarko, D., & Sawitri, D. R. (2020). The effect of “Self-Help Packages” on post stroke depression among ischemic stroke survivors. Nurse Media Journal of Nursing, 10(3), 361–375. https://doi.org/10.14710/nmjn.v10i3.31014
   Google Scholar
• Hickman, R. L., Clochesy, J. M., & Alaamri, M. (2016). Validation of an interaction model of health behavior among adults with hypertension. Western Journal of Nursing Research, 38(7), 874–892. https://doi.org/10.1177/0193945916628864
   PubMed Web of Science ®Google Scholar
• Hong, K. S. (2006). Outcome measure and efficacy analysis in stroke clinical trials. Journal of the Korean Neurological Association, 24, 411–420.
   Google Scholar
• Huang, L., Lu, C., Pang, M., Li, L., Zhang, Y., Su, A., & Ding, L. (2021). Effect of PDCA-based nursing intervention on activities of daily living, neurological function and self-management in acute cerebral stroke. American Journal of Translational Research, 13(5), 1–6.
   PubMed Web of Science ®Google Scholar
• Jarvis, H. L., Brown, S. J., Price, M., Butterworth, C., Groenevelt, R., Jackson, K., Walker, L., Rees, N., Clayton, A., & Reeves, N. D. (2019). Return to employment after stroke in young adults: How important is the speed and energy cost of walking? Stroke, 50(11), 3198–3204. https://doi.org/10.1161/STROKEAHA.119.025614
   PubMed Web of Science ®Google Scholar
• Kerr, D., McCann, T., Mackey, E., & Wijeratne, T. (2018). Effects of early motivational interviewing on post‐stroke depressive symptoms: A pilot randomized study of the good mood intervention program. International Journal of Nursing Practice, 24(4), e12657. https://doi.org/10.1111/ijn.12657
   PubMed Web of Science ®Google Scholar
• Kim, C. G., & Park, H. A. (2011). Development and evaluation of a web-based education program to prevent secondary stroke. Journal of Korean Academy of Nursing, 41(1), 47–60. https://doi.org/10.4040/jkan.2011.41.1.47
   PubMed Web of Science ®Google Scholar
• Kuluski, K., Dow, C., Locock, L., Lyons, R. F., & Lasserson, D. (2014). Life interrupted and life regained? Coping with stroke at a young age. International Journal of Qualitative Studies on Health and Well-Being, 9(1), 22252. https://doi.org/10.3402/qhw.v9.22252
   PubMed Web of Science ®Google Scholar
• Langston, K., Ross, L. J., Byrnes, A., & Hay, R. (2020). Secondary‐prevention behaviour‐change strategy for high‐risk patients: Benefits for all classes of body mass index. Nutrition & Dietetics, 77(5), 499–507. https://doi.org/10.1111/1747-0080.12605
   PubMed Web of Science ®Google Scholar
• Lee, H. R., Ham, O. K., Lee, Y. W., Cho, I., Oh, H. S., & Rha, J. H. (2014). Knowledge, health‐promoting behaviors, and biological risks of recurrent stroke among stroke patients in Korea. Japan Journal of Nursing Science, 11(2), 112–120. https://doi.org/10.1111/jjns.12013
   PubMed Web of Science ®Google Scholar
• Lee, K. M., Jang, Y. H., Kim, Y. H., Moon, S. G., Park, J. H., Park, S. W., Yoo, H. J., Lee, S. G., Jeon, M. H., & Han, T. R. (2004). Reliability and validity of Korean version of National Institutes of health stroke scale-multi-center study. Annals of Rehabilitation Medicine, 28(5), 422–435. https://www.e-arm.org/journal/view.php?number=1777
   Google Scholar
• Lindblom, S., Ytterberg, C., Elf, M., & Flink, M. (2020). Perceptive dialogue for linking stakeholders and units during care transitions – a qualitative study of people with stroke, significant others and healthcare professionals in Sweden. International Journal of Integrated Care, 20(1), 11. https://doi.org/10.5334/ijic.4689
   PubMed Web of Science ®Google Scholar
• Lin, S., Xiao, L. D., Chamberlain, D., Ullah, S., Wang, Y., Shen, Y., Chen, Z., & Wu, M. (2022). Nurse-led health coaching programme to improve hospital-to-home transitional care for stroke survivors: A randomised controlled trial. Patient Education & Counseling, 105(4), 917–925. https://doi.org/10.1016/j.pec.2021.07.020
   PubMed Web of Science ®Google Scholar
• Lin, F. H., Yih, D. N., Shih, F. M., & Chu, C. M. (2019). Effect of social support and health education on depression scale scores of chronic stroke patients. Medicine, 98(44), e17667. https://doi.org/10.1097/MD.0000000000017667
   PubMed Web of Science ®Google Scholar
• Maaijwee, N. A., Rutten-Jacobs, L. C., Schaapsmeerders, P., van Dijk, E. J., & de Leeuw, F. E. (2014). Ischaemic stroke in young adults: Risk factors and long-term consequences. Nature Reviews Neurology, 10(6), 315–325. https://doi.org/10.1038/nrneurol.2014.72
   PubMed Web of Science ®Google Scholar
• Medeiros, G. C., Roy, D., Kontos, N., & Beach, S. R. (2020). Post-stroke depression: A 2020 updated review. General Hospital Psychiatry, 66, 70–80. https://doi.org/10.1016/j.genhosppsych.2020.06.011
   PubMed Web of Science ®Google Scholar
• O’Callaghan, G., Fahy, M., Murphy, P., Langhorne, P., Galvin, R., & Horgan, F. (2022). Effectiveness of interventions to support the transition home after acute stroke: A systematic review and meta-analysis. BMC Health Services Research, 22(1), 1–12. https://doi.org/10.1186/s12913-022-08473-6
   PubMed Web of Science ®Google Scholar
• Ögren, J., Irewall, A. L., Söderström, L., & Mooe, T. (2018). Long-term, telephone-based follow-up after stroke and TIA improves risk factors: 36-month results from the randomized controlled NAILED stroke risk factor trial. BMC Neurology, 18(1), 1–9. https://doi.org/10.1186/s12883-018-1158-5
   PubMedGoogle Scholar
• Oh, S, Min, K. J., & Park, D. B. (1999). A comparison of normal, depressed and anxious groups: A study on the standardization of the hospital anxiety and depressed scale for Koreans. Journal of the Korean Neuropsychiatric Association, 38(2), 289–296. https://koreamed.org/SearchBasic.php?RID=2340284
   Google Scholar
• Ontario Stroke Network. (2014) . Guiding principles for the development of a navigation model to support transition to the community for persons with stroke and their families. Ontario Stroke Network Provincial Integrated Work Group Patient Navigation.
   Google Scholar
• Park, H. S., Lee, M. H., & Ha, J. H. (2013). The effects of individualized education on stroke patients’ post-discharge anxiety and self-care compliance. The Korean Journal of Rehabilitation Nursing, 16(1), 1–8. https://doi.org/10.7587/kjrehn.2013.1
   Google Scholar
• Pimentel, B. C., Willeit, J., Töll, T., Kiechl, S. E., Melo, T. P., Canhão, P., Fonseca, C., & Ferro, J. (2019). Etiologic evaluation of ischemic stroke in young adults: A comparative study between two European centers. Journal of Stroke & Cerebrovascular Diseases, 28(5), 1261–1266. https://doi.org/10.1016/j.jstrokecerebrovasdis.2019.01.019
   PubMed Web of Science ®Google Scholar
• Rexrode, K., Madsen, T., Yu, A., Carcel, C., Lichtman, J., & Miller, E. (2022). The impact of sex and gender on stroke. Circulation Research, 130(4), 512–528. https://doi.org/10.1161/CIRCRESAHA.121.319915
   PubMed Web of Science ®Google Scholar
• Rintala, A., Kossi, O., Bonnechère, B., Evers, L., Printemps, E., & Feys, P. (2022). Mobile health applications for improving physical function, physical activity, and quality of life in stroke survivors: A systematic review. Disability and Rehabilitation, 1–15. https://doi.org/10.1080/09638288.2022.2140844
   Google Scholar
• Sakakibara, B., Kim, A., & Eng, J. (2017). A systematic review and meta-analysis on self-management for improving risk factor control in stroke patients. International Journal of Behavioral Medicine, 24(1), 42–53. https://doi.org/10.1007/s12529-016-9582-7
   PubMed Web of Science ®Google Scholar
• Sawant, N., Bose, M., & Parab, S. (2020). Dexteria app. therapy versus conventional hand therapy in stroke. Journal of Enabling Technologies, 14(4), 221–231. https://doi.org/10.1108/JET-05-2020-0023
   Web of Science ®Google Scholar
• Shen, Q., He, P., Wen, M., Yu, J., Chen, Y., Li, J., & Ouyang, X. (2021). Secondary prevention of coronary heart disease: The effect of a nursing intervention using Cox’s interaction model of client health behaviour. Journal of Advanced Nursing, 77(10), 4104–4119. https://doi.org/10.1111/jan.14930
   PubMed Web of Science ®Google Scholar
• Snaith, R. P. (2003). The hospital anxiety and depression scale. Health and Quality of Life Outcomes, 1(1), 29. https://doi.org/10.1186/1477-7525-1-29
   PubMedGoogle Scholar
• Taule, T., & Råheim, M. (2014). Life changed existentially: A qualitative study of experiences at 6–8 months after mild stroke. Disability and Rehabilitation, 36(25), 2107–2119. https://doi.org/10.3109/09638288.2014.904448
   PubMed Web of Science ®Google Scholar
• Triantafyllidis, A., Segkouli, S., Zygouris, S., Michailidou, C., Avgerinakis, K., Fappa, E., Vassiliades, S., Bougea, A., Papagiannakis, N., Katakis, I., Mathioudis, E., Sorici, A., Bajenaru, L., Tageo, V., Camonita, F., Magga-Nteve, C., Vrochidis, S., Pedullà, L., & Tzovaras, D. (2023). Mobile app interventions for Parkinson’s disease, multiple sclerosis and stroke: A systematic literature review. Sensors, 23(7), 3396. https://doi.org/10.3390/s23073396
   PubMed Web of Science ®Google Scholar
• van Swieten, J. C., Koudstaal, P., Visser, M., Schouten, H., & van Gijn, J. (1988). Interobserver agreement for the assessment of handicap in stroke patients. Stroke, 19(5), 604–607. https://doi.org/10.1161/01.STR.19.5.604
   PubMed Web of Science ®Google Scholar
• Virani, S. S., Alonso, A., Aparicio, H. J., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Cheng, S., Delling, F. N., Elkind, M. S. V., Evenson, K. R., Ferguson, J. F., Gupta, D. K., Khan, S. S., Kissela, B. M., Knutson, K. L., Lee, C. D., & American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. (2021). Heart disease and stroke statistics—2021 update: A report from the American heart association. Circulation, 143, e254–e743. https://doi.org/10.1161/CIR.0000000000000950
   PubMed Web of Science ®Google Scholar
• Wang, Z., & Nie, R. (2018). The effect of health quotient management within the Interaction Model of Client Health Behavior on maternal health outcome. 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018). (pp. 420–423). Atlantis Press.
   Google Scholar
• Wan, L. H., Zhang, X. P., Mo, M. M., Xiong, X. N., Ou, C. L., You, L. M., Chen, S. X., & Zhang, M. (2016). Effectiveness of goal-setting telephone follow-up on health behaviors of patients with ischemic stroke: A randomized controlled trial. Journal of Stroke and Cerebrovascular Diseases, 25(9), 2259–2270. https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.05.010
   PubMed Web of Science ®Google Scholar
• Winstein, C. J., Stein, J., Arena, R., Bates, B., Cherney, L. R., Cramer, S. C., Deruyter, F., Eng, J. J., Fisher, B., Harvey, R. L., Lang, C. E., MacKay-Lyons, M., Ottenbacher, K. J., Pugh, S., Reeves, M. J., Richards, L. G., Stiers, W., Zorowitz, R. D., & American Heart Association Stroke Council, Council on Cardiovascular and Stroke Nursing, Council on Clinical Cardiology, & Council on Quality of Care and Outcomes Research. (2016). Guidelines for adult stroke rehabilitation and recovery: A guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke, 47(6), e98–e169. https://doi.org/10.1161/STR.0000000000000098
   PubMed Web of Science ®Google Scholar
• Wong, G. K. C., Lam, S. W., Ngai, K., Wong, A., Poon, W. S., & Mok, V. (2013). Development of a short form of stroke-specific quality of life scale for patients after aneurysmal subarachnoid hemorrhage. Journal of the Neurological Sciences, 335(1–2), 204–209. https://doi.org/10.1016/j.jns.2013.09.033
   PubMed Web of Science ®Google Scholar
• Wong, F. K. Y., & Yeung, S. M. (2015). Effects of a 4‐week transitional care programme for discharged stroke survivors in Hong Kong: A randomised controlled trial. Health & Social Care in the Community, 23(6), 619–631. https://doi.org/10.1111/hsc.12177
   PubMed Web of Science ®Google Scholar
• Wu, Q. E., Zhou, A. M., Han, Y. P., Liu, Y. M., Yang, Y., Wang, X. M., & Shi, X. (2019). Poststroke depression and risk of recurrent stroke: A meta-analysis of prospective studies. Medicine, 98(42), e17235. https://doi.org/10.1097/MD.0000000000017235
   PubMed Web of Science ®Google Scholar
• Yoon, S., Kim, H. Y., & Kim, S. R. (2021). A prediction model of health-related quality of life in young adult patients with stroke. Journal of Clinical Nursing, 30(13–14), 2023–2035. https://doi.org/10.1111/jocn.15755
   PubMed Web of Science ®Google Scholar
• Yoon, S., Kim, S. R., Kim, H. Y., Yoo, S. H., & Choi, J. C. (2020). The reliability and validity of the Korean short version of the stroke-specific quality of life scale. Rehabilitation Nursing Journal, 45(4), 218–224. https://doi.org/10.1097/rnj.0000000000000199
   PubMed Web of Science ®Google Scholar
• Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67(6), 361–370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
   PubMed Web of Science ®Google Scholar