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1

Joice, Sara. "Self-management following stroke." Nursing Standard 26, no. 22 (February 2012): 39–46. http://dx.doi.org/10.7748/ns2012.02.26.22.39.c8919.

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Joice, Sara. "Self-management following stroke." Nursing Standard 26, no. 22 (February 2012): 39–46. http://dx.doi.org/10.7748/ns.26.22.39.s51.

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3

Boger, Emma J., Sara H. Demain, and Sue M. Latter. "Stroke self-management: A focus group study to identify the factors influencing self-management following stroke." International Journal of Nursing Studies 52, no. 1 (January 2015): 175–87. http://dx.doi.org/10.1016/j.ijnurstu.2014.05.006.

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4

Yuniarti, Irmina Ika, I. Made Kariasa, and Agung Waluyo. "Efektifitas Intervensi Self-Management pada Pasien Stroke." (JKG) JURNAL KEPERAWATAN GLOBAL 5, no. 1 (June 26, 2020): 6–17. http://dx.doi.org/10.37341/jkg.v5i1.94.

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Background: Stroke is a neurological change that occurs quickly caused by disruption of blood supply to parts of the brain. Stroke has a complex impact which includes bio-psycho-social and spiritual. Various complexities of problems encountered in stroke patients so that self-management is needed as a form of adaptation to new conditions after stroke. Self-management interventions are useful for improving self-management skills and behavior in stroke patients. Purpose this study is to analize effectiveness of self-management interventions in stroke patients. Methods : Narrative literature review, research analyzes published in the online databases of ProQuest, Google scholar and Scopus. The study was selected using the criteria and keywords for the 2015-2019 period. Seven studies were analyzed using the literature review process. Results: To improve self-management stroke patients self-management interventions are needed. Self-management interventions can be applied in hospitals when post acute patients are hospitalized, preparation for discharge, return and after discharge home and can be combined with rehabilitation programs in the community. Self-management interventions can improve self-efficacy, self-management behavior, activity daily living (ADL) ability, decreased re-hospitalisation and patient readiness to return to the community. Conclusion: Self-management interventions can be applied in Indonesia, with a note that among others prepared human resources, costs, supporting facilities and policies from the manager.
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Taft, Karenza, Bobbi Laing, Cynthia Wensley, Lorraine Nielsen, and Julia Slark. "Health promotion interventions post-stroke for improving self-management: A systematic review." JRSM Cardiovascular Disease 10 (January 2021): 204800402110044. http://dx.doi.org/10.1177/20480040211004416.

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Background It is well-documented that women tend to be worse off post-stroke. They are often frailer, have less independence, lower functionality, increased rates of depression, and overall a lower quality of life. People who have had strokes benefit from rehabilitative support to increase their independence and reduce the risk of stroke reoccurrence. Despite the gender differences in the effects of stroke, interventions explicitly aimed at helping women have not been identified. Purpose This systematic review aimed to summarize the effectiveness of the health promoting behavioural interventions for reducing risk factors and improved self-management in women post-stroke, compared to usual care. Method Seven databases, Medline (Ovid), CINAHL, PsychInfo, Embase, PubMed, Scopus, and Google Scholar, were reviewed for randomized controlled trials covering post-stroke interventions. The following keywords were used: health promotion, secondary prevention, woman, women, female, sex difference, gender difference, after stroke, and post-stroke. Results Ten randomised controlled trials were found. These demonstrated common successful approaches for rehabilitation, but none specifically described health promotion strategies for women. Core components of successful programs appeared to be a structured approach, tailored to clientele and formalised support systems through their carer, family networks, or community engagement. Comprehensive reminder systems were successful for stroke risk reduction. Conclusion Women are disproportionately affected by stroke and are often in the frail category. Tailored structured health promotion programs with family and caregiver support combined with a comprehensive reminder system would appear to enable women post-stroke.
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Karle, J., S. O'Brien, and J. Robinson. "Impacting stroke outcomes: Education & self-management." Journal of Stroke and Cerebrovascular Diseases 7, no. 5 (September 1998): 380. http://dx.doi.org/10.1016/s1052-3057(98)80110-9.

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Damush, Teresa M., Susan Ofner, Zhangsheng Yu, Laurie Plue, Gloria Nicholas, and Linda S. Williams. "Implementation of a stroke self-management program." Translational Behavioral Medicine 1, no. 4 (September 1, 2011): 561–72. http://dx.doi.org/10.1007/s13142-011-0070-y.

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Lo, Suzanne H. S., Anne M. Chang, and Janita P. C. Chau. "Stroke Self-Management Support Improves Survivors’ Self-Efficacy and Outcome Expectation of Self-Management Behaviors." Stroke 49, no. 3 (March 2018): 758–60. http://dx.doi.org/10.1161/strokeaha.117.019437.

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Kidd, Lisa. "Stroke self-management programmes could improve patient self-efficacy and satisfaction with self-management behaviours." Evidence Based Nursing 21, no. 3 (June 2, 2018): 81. http://dx.doi.org/10.1136/eb-2018-102932.

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Jones, Fiona, and Afsane Riazi. "Self-efficacy and self-management after stroke: a systematic review." Disability and Rehabilitation 33, no. 10 (August 27, 2010): 797–810. http://dx.doi.org/10.3109/09638288.2010.511415.

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11

Lee, Danbi. "Extending the Focus of Self-Management: A Participation-Focused Stroke Self-Management Intervention." Archives of Physical Medicine and Rehabilitation 98, no. 10 (October 2017): e22-e23. http://dx.doi.org/10.1016/j.apmr.2017.08.069.

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Lee, Danbi, Rachel Kravitt, Joy Hammel, Carolyn Baum, and Tim Wolf. "Improving participation with self-management skills: Qualitative evaluation of a stroke self-management program." Archives of Physical Medicine and Rehabilitation 98, no. 10 (October 2017): e132. http://dx.doi.org/10.1016/j.apmr.2017.08.431.

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13

Ortiz-Fernández, Leire, Joana Sagastagoya Zabala, Agustín Gutiérrez-Ruiz, Natale Imaz-Ayo, Ander Alava-Menica, and Eunate Arana-Arri. "Efficacy and Usability of eHealth Technologies in Stroke Survivors for Prevention of a New Stroke and Improvement of Self-Management: Phase III Randomized Control Trial." Methods and Protocols 2, no. 2 (June 13, 2019): 50. http://dx.doi.org/10.3390/mps2020050.

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Background: Stroke is a leading cause of severe and long-term disability in developed countries. Around 15 million people suffer a stroke each year, being most of them ischemic due to modifiable risk factors. Adequate self-management abilities may help to manage the consequences of stroke, but it is unknown which specific intervention could be effective to booster these self-management abilities. Objective: To evaluate the improvement of self-management in chronic stroke survivors using decision support and self-management system (STARR). Methods: A randomized, prospective, parallel group, open, and the unicentric pilot trial will be performed. Stroke survivors and their caregivers will be randomly allocated to STARR management or standard of care. Main inclusion criteria are mild to moderate disabled first stroke adult survivor, living at home, able to cope and follow the guidelines and devices, without socio-familial exclusion. All will get a conventional treatment in the acute and subacute phase; however, in the chronic period, cases will use the developed STARR App and Decision Support System. Measurements will be performed at baseline, at 3 months, and at 6 months. Outcome measures are patient-report outcome measure of self-management competency, physical function, risk factor reduction, healthcare resource utilization, knowledge of the condition, mood, and social isolation. Discussion: If effective, the results of this study will enable stroke patients and their caregivers to deal better with the everyday life obstacles of stroke, improve the adherence of the treatment, improve the control of cardiovascular risk, and, in consequence, reduce the recurrence of secondary strokes, the number of complications, the number of consultations, and readmissions; to ultimately reduce the health systems costs. Taking into consideration that the number of stroke survivors is increasing around the world, a large number of individuals could profit from this intervention.
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Tielemans, Nienke S., Vera PM Schepers, Johanna MA Visser-Meily, Jolanda CM van Haastregt, Wendy JM van Veen, Haike E. van Stralen, and Caroline M. van Heugten. "Process evaluation of the Restore4stroke Self-Management intervention ‘Plan Ahead!’: a stroke-specific self-management intervention." Clinical Rehabilitation 30, no. 12 (July 11, 2016): 1175–85. http://dx.doi.org/10.1177/0269215515620255.

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Objective: To investigate whether the self-management intervention was implemented as intended. Additionally, we studied involvement in and satisfaction with the intervention among patients, their partners and therapists. Design: Mixed method, prospective study. Setting: Outpatient facilities of hospitals/rehabilitation centres. Participants: Stroke patients, their partners and therapists from the experimental arm of the Restore4Stroke Self-Management study. Intervention: ‘Plan Ahead!’ is a 10-week self-management intervention for stroke patients and partners, consisting of seven two-hour group sessions. Proactive action planning, education and peer support are main elements of this intervention. Main measures: Session logs, questionnaires for therapists, patients and their partners, and focus groups. Data analysis: Qualitative data were analysed with thematic analysis supplemented by quasi-statistics. Quantitative data were reported as descriptive statistics. Results: The study sample consisted of 53 patients and 26 partners taking part in the intervention, and all therapists delivering the intervention ( N = 19). At least three-quarters of the intervention sessions were attended by 33 patients and 24 partners. On a scale from 1 to 10, patients, partners and therapists rated the intervention with mean scores of 7.5 (SD1.6), 7.8 (SD.7) and 7.4 (SD.7), respectively. Peer support was the most frequently appreciated element for participants and therapists. The proactive action planning tool was adequately applied in 76 of the 96 sessions. Conclusion: Although the target audience was reached and both participants and therapists were satisfied with the intervention, the proactive action planning tool that distinguishes the current intervention from existing stroke-specific self-management interventions was only partly implemented according to protocol.
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Boger, Emma J., Sara Demain, and Sue Latter. "Self-management: a systematic review of outcome measures adopted in self-management interventions for stroke." Disability and Rehabilitation 35, no. 17 (November 21, 2012): 1415–28. http://dx.doi.org/10.3109/09638288.2012.737080.

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16

Guan, Feng-Guang, Mei Wang, and Xiao-Qin Lian. "The status quo and influence of self-management behaviors in convalescent stroke patients." Frontiers of Nursing 5, no. 2 (August 14, 2018): 119–25. http://dx.doi.org/10.2478/fon-2018-0016.

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Abstract Objective The aims of this study were to investigate the status quo of self-management behaviors in stroke patients at the recovery stage and to explore its influencing factors. Methods A total of 440 hospitalized convalescent stroke patients were recruited and investigated using the Basic Situation Questionnaire, Self-management Behavior Scale of Stroke, Stroke Prevention Knowledge Questionnaire and Social Support Rating Scale. Results The mean self-management behavior score was (151.95±23.58), and dimensions in descending order were as follows: dietary management, drug safety management, social function and interpersonal relationships, life management, emotion management, rehabilitation exercise management and disease management. Five regional self-management behavior scores were statistically significant, and the scores from Minnan and Minzhong of the Fujian province, China, were higher than the others. Gender, age, family income and self-management behavior were significantly correlated (P<0.05); educational level, stroke knowledge level, social support level and self-management behavior were positively correlated, and the difference was statistically significant (P<0.01). Conclusions The overall self-management level of convalescent stroke patients should be improved to strengthen health education; focus on the educational level, which is relatively low; strengthen the social support system of patients; stimulate the enthusiasm and initiative of self-management disease patients to promote disease rehabilitation and improve the quality of life.
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Chang, Koung-Oh, and Jung Yeon Park. "The Effects of Self-help Management Program on Knowledge about Stroke, Self-efficacy and Self-esteem in People with Stroke." Journal of muscle and joint health 20, no. 1 (April 30, 2013): 1–9. http://dx.doi.org/10.5953/jmjh.2013.20.1.1.

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18

Damush, Teresa M., Laurie Plue, Gloria Nicholas, Susan Ofner, Zhangsheng Yu, and Linda S. Williams. "Stroke Self-management: Effect On Self-efficacy, Exercise And Quality Of Life." Medicine & Science in Sports & Exercise 42 (May 2010): 650. http://dx.doi.org/10.1249/01.mss.0000385812.37088.d2.

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19

Sutini, Ni Kadek, Ni Wayan Septarini, I. Made Ady Wirawan, and Anak Agung Sagung Sawitri. "The association between hypertension self-management and stroke event in male patients at the Badung District Hospital, Bali." Public Health and Preventive Medicine Archive 6, no. 2 (December 1, 2018): 82. http://dx.doi.org/10.15562/phpma.v6i2.14.

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Background and purpose: Hypertension is a major risk factor for stroke. Despite efforts to control hypertension with pharmacological and non-pharmacological therapies, the prevalence of and death from stroke is reported to be increasing. This study aims to determine the association of hypertension self-management with the incidence of stroke in patients with hypertension.Methods: A case-control study was conducted involving 44 patients suffering from hypertension and who had suffered a stroke as a case, as well as 44 patients with hypertension and no stroke as a control. Data on self-management of diet, physical activity, stress mitigation efforts, alcohol consumption, and medication adherence were collected using self administered questionnaire. Data on the diagnosis of hypertension, stroke and history of comorbidities were obtained from the patient's medical records. Multivariatee analysis using logistic regression was employed to assess the association between hypertension self-management with the incidence of stroke in patients with hypertension.Results: Characteristics of cases and controls did not differ in education, marital and socioeconomic status, but differed in age and employment. Multivariate analysis showed that there were three components of hypertension self-management associated with the incidence of stroke, namely poor adherence to medication (AOR=7.28; 95%CI: 2.19-24.17), poor self-management of stress (AOR=5.45; 95%CI: 1.56-18.99), and poor management of self-regulated diet (AOR=5.28; 95%CI: 1.31-21.32).Conclusions: Medication adherence, diet and stress management are the three main components of self-management that are associated with stroke events among hypertension patients. Efforts to increase medication adherence, diet and stress management should be enhanced.
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Kendall, Elizabeth, Tara Catalano, Pim Kuipers, Natasha Posner, Nicholas Buys, and Jill Charker. "Recovery following stroke: The role of self-management education." Social Science & Medicine 64, no. 3 (February 2007): 735–46. http://dx.doi.org/10.1016/j.socscimed.2006.09.012.

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21

Chapman, Beatrice, and Vanessa Bogle. "Adherence to medication and self-management in stroke patients." British Journal of Nursing 23, no. 3 (February 13, 2014): 158–66. http://dx.doi.org/10.12968/bjon.2014.23.3.158.

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Jones, Fiona, Afsane Riazi, and Meriel Norris. "Self-management after stroke: time for some more questions?" Disability and Rehabilitation 35, no. 3 (June 12, 2012): 257–64. http://dx.doi.org/10.3109/09638288.2012.691938.

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Chapman, Beatrice, and Vanessa Bogle. "Adherence to medication and self-management in stroke patients." British Journal of Neuroscience Nursing 10, Sup2 (April 2014): 32–38. http://dx.doi.org/10.12968/bjnn.2014.10.sup2.32.

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Marviana, Elsa, Sri Muharni, and Utari Christya Wardhani. "Hubungan Self-Management Dengan Kualitas Hidup Pasien Pasca Stroke Di RSUD Encik Mariyam Tahun 2020." Jurnal Health Sains 1, no. 4 (October 25, 2020): 178–83. http://dx.doi.org/10.46799/jhs.v1i4.38.

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Pasien stroke pada dasarnya masih mempunyai kemampuan untuk sembuh sesudah mengalami serangan stroke. Setengah dari pasien pasca stroke akan merasakan gejala sisa serangan stroke yang sangat beragam, yakni gangguan gerak atau pun motorik, gangguan penglihatan, gangguan bicara, perubahan emosi, serta gejala lain sesuai lokasi otak yang mengalami penyumbatan (Misbach, 2014). Tujuan penelitian ini untuk mengetahui apakah ada hubungan self -management dengan kualitas hidup pasien pasca stroke di RSUD Encik Mariyam Tahun 2020. Metode penelitian deskriptif analitik dengan pendekatan cross sectional, sampel dilakukan dengan tekhik purposive sampling dan menggunakan rumus Slovin. Jumlah sampel 38 responden. Hasil penelitian dianalisa dengan uji Spearman rho.Dengan hasil persentase respon tertinggi pada usia 56-65 tahun (47,37%), perempuan (63,16%),menikah (97,37%),pendidikan SMP (47,73%) dan tinggal bersama suami,isteri dan anak (42,11%).Dengan self-management yang baik (13,15%),self-management sedang (39,47%) dan self-management kurang (47,36%).Dengan kualits hidup yang baik (21,05%),kualitas hidup sedang (31,57%) dan kualitas hidup kurang (47,36%).Kesimpulan diketahui derajat kemaknaan α=0,00,diperoleh hasil p=0,000 dimana (p≤0,05),dengan kekuatan (r=0,967) yaitu sangat kuat dan arah hubungan positif artinya ada Hubungan Self-Management dengan Kualitas Hidup Pasien Pasca Stroke di RSUD Encik Mariyam. Diharapkan untuk lebih meningkatkan pengetahuan dan kinerja yang lebih baik guna memberikan bimbingan pelayanan kesehatan bagi pasien,khususnya pasien pasca stroke agar dapat mendukung pencapaian self-management yang baik untuk menunjang kualitas hidup pasien pasca stroke.
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ELSA MARVIANA. "HUBUNGAN SELF-MANAGEMENT DENGAN KUALITAS HIDUP PASIEN PASCA STROKE DI RSUD ENCIK MARIYAM TAHUN 2020." ENHANCEMENT : a journal of health science 2, no. 1 (May 6, 2021): 109–17. http://dx.doi.org/10.52999/sabb.v2i1.130.

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Pasien stroke pada dasarnya masih mempunyai kemampuan untuk sembuh sesudah mengalami serangan stroke. Setengah dari pasien pasca stroke akan merasakan gejala sisa serangan stroke yang sangat beragam, yakni gangguan gerak atau pun motorik, gangguan penglihatan, gangguan bicara, perubahan emosi, serta gejala lain sesuai lokasi otak yang mengalami penyumbatan (Misbach, 2014). Tujuan penelitian ini untuk mengetahui apakah ada hubungan self -management dengan kualitas hidup pasien pasca stroke di RSUD Encik Mariyam Tahun 2020. Metode penelitian deskriptif analitik dengan pendekatan cross sectional, sampel dilakukan dengan tekhik purposive sampling dan menggunakan rumus Slovin. Jumlah sampel 38 responden. Hasil penelitian dianalisa dengan uji Spearman rho.Dengan hasil persentase respon tertinggi pada usia 56-65 tahun (47,37%), perempuan (63,16%),menikah (97,37%),pendidikan SMP (47,73%) dan tinggal bersama suami,isteri dan anak (42,11%).Dengan self-management yang baik (13,15%),self-management sedang (39,47%) dan self-management kurang (47,36%).Dengan kualits hidup yang baik (21,05%),kualitas hidup sedang (31,57%) dan kualitas hidup kurang (47,36%).Kesimpulan diketahui derajat kemaknaan α=0,00,diperoleh hasil p=0,000 dimana (p≤0,05),dengan kekuatan (r=0,967) yaitu sangat kuat dan arah hubungan positif artinya ada Hubungan Self-Management dengan Kualitas Hidup Pasien Pasca Stroke di RSUD Encik Mariyam. Diharapkan untuk lebih meningkatkan pengetahuan dan kinerja yang lebih baik guna memberikan bimbingan pelayanan kesehatan bagi pasien,khususnya pasien pasca stroke agar dapat mendukung pencapaian self-management yang baik untuk menunjang kualitas hidup pasien pasca stroke.
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Kuo, Nai-Yu, Yu-Huei Lin, and Hsiao-Mei Chen. "Continuity of Care and Self-Management among Patients with Stroke: A Cross-Sectional Study." Healthcare 9, no. 8 (August 4, 2021): 989. http://dx.doi.org/10.3390/healthcare9080989.

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(1) Background: Stroke is an important topic in the healthcare industry. The objective of the present study was to investigate patients’ sociodemographic characteristics, health status, continuity of care, self-management, and other predictors that affect their self-management. (2) Methods: This cross-sectional correlational study was carried out from March to September 2020, and included a total of 150 patients aged 20 and above who were diagnosed within the past 6 months. The research participants were selected from the Division of Neurology, Department of Internal Medicine/Department of Surgery, at a medical center in Central Taiwan. (3) Results: The mean self-management score of patients with stroke was 110.50 points (30–150 points). As shown in the stepwise regression analysis, the overall regression model explained approximately 44.5% of the variance in self-management. Educational level (10.8%), frequency of exercise per week (2.1%), time that patients were affected by stroke (2.4%), and continuity of care (29.2%) were the main predictors affecting the self-management of stroke patients. (4) Conclusions: To improve stroke patients’ self-management, medical teams should provide appropriate continuity of care to those with lower educational levels, those without exercise habits, and those who experienced a stroke within the past six months.
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Warner, Grace, Tanya Packer, Michelle Villeneuve, Asa Audulv, and Joan Versnel. "A systematic review of the effectiveness of stroke self-management programs for improving function and participation outcomes: self-management programs for stroke survivors." Disability and Rehabilitation 37, no. 23 (January 12, 2015): 2141–63. http://dx.doi.org/10.3109/09638288.2014.996674.

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Shan, S. H., A. M. Chang, J. P. C. Chau, and G. E. Gardner. "Development of an evidence-based stroke self-management program to enhance post-stroke recovery." International Journal of Evidence-Based Healthcare 12, no. 3 (September 2014): 191. http://dx.doi.org/10.1097/01.xeb.0000455183.12101.89.

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Lee, Danbi, Heidi Fischer, Joy Hammel, and Rosetta Robertson. "Improving Participation after Stroke: Examining A Stroke Self-Management Intervention in Day Rehabilitation Setting." Archives of Physical Medicine and Rehabilitation 97, no. 12 (December 2016): e33. http://dx.doi.org/10.1016/j.apmr.2016.09.090.

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Ren, Xiao-Ran, Yuan-Yuan Wei, Xiang-Ni Su, Yan Hua, Pei Shao, Ting Xiao, Jing Wang, Chun-Ping Ni, and Hong-Xia Guo. "Correlation between self-perceived burden and self-management behavior in elderly stroke survivors." Medicine 99, no. 44 (October 30, 2020): e22862. http://dx.doi.org/10.1097/md.0000000000022862.

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31

Sakakibara, Brodie M., Scott A. Lear, Susan I. Barr, Oscar Benavente, Charlie H. Goldsmith, Noah D. Silverberg, Jennifer Yao, and Janice J. Eng. "A telehealth intervention to promote healthy lifestyles after stroke: The Stroke Coach protocol." International Journal of Stroke 13, no. 2 (September 4, 2017): 217–22. http://dx.doi.org/10.1177/1747493017729266.

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Rationale Recurrent stroke is prevalent and associated with high mortality rates, disability, and social and economic costs. Adequate management of risk factors may reduce recurrent stroke; however, many stroke survivors have poor control of risk factors. We have developed a theoretically sound and evidence-based lifestyle modification program called the Stroke Coach, a telephone-based self-management program to improve control of risk factors. Hypothesis Individuals who participate in Stroke Coach will achieve more lifestyle improvements than individuals in an attention controlled Memory Training Program. Design In this single blind randomized controlled trial, 126 community-living stroke survivors will be randomized to Stroke Coach or the attention control group. Participants randomized to the six-month Stroke Coach will receive seven telephone lifestyle coaching sessions, self-management education and practice, and a self-monitoring kit, comprised of a health report card, with blood pressure and activity monitors. Study Outcomes The primary outcome will be measured using the Health Promoting Lifestyle Profile II. Secondary outcomes include behavioral and physiological risk factors, quality of life, cognitive status, health and social service use. Measurements will be taken at baseline, immediately after the intervention and six-month post-intervention. Summary The results of this trial will add to our understanding of the use of self-management to improve control of risk factors, and may facilitate the development of a larger trial evaluating the effect of Stroke Coach on endpoints such as recurrent stroke or cardiac events as the primary outcome.
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Fugazzaro, Stefania, Monica Denti, Monia Accogli, Stefania Costi, Donatella Pagliacci, Simona Calugi, Enrica Cavalli, Mariangela Taricco, and Roberta Bardelli. "Self-Management in Stroke Survivors: Development and Implementation of the Look after Yourself (LAY) Intervention." International Journal of Environmental Research and Public Health 18, no. 11 (May 31, 2021): 5925. http://dx.doi.org/10.3390/ijerph18115925.

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Objective: Self-management is recommended in stroke rehabilitation. This report aims to describe timing, contents, and setting of delivery of a patient-centered, self-management program for stroke survivors in their early hospital rehabilitation phase: the Look After Yourself (LAY) intervention. Methods: After extensive literature search, the LAY intervention was developed by integrating the Chronic Disease Self-Management Program, based on the self-efficacy construct of social cognitive theory, with evidence-based key elements and input from stroke survivors. Results: the LAY intervention aims to implement self-management skills in stroke survivors, enabling them to be active in goal setting and problem solving using action plans and to facilitate the critical transition from hospital to community. It includes both group sessions to facilitate sharing of experiences, social comparison, vicarious learning, and increase motivation and one-to-one sessions focused on setting feasible action plans and on teaching personalized strategies to prevent falls. Standardization is ensured by manuals for facilitators and patients. Conclusion: The LAY intervention is the first Italian program to support early self-management in stroke rehabilitation; it has been experimented and its efficacy proven in improving self-efficacy, mental health, and activities of daily living, and detailed results have been published. The LAY intervention is described according to the TIDieR checklist.
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Hwang, Na-Kyoung, Ji-Su Park, and Moon-Young Chang. "Telehealth Interventions to Support Self-Management in Stroke Survivors: A Systematic Review." Healthcare 9, no. 4 (April 15, 2021): 472. http://dx.doi.org/10.3390/healthcare9040472.

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Telehealth (TH) intervention is a method to optimize self-management (SM) support in stroke survivors. Objectives of this study included identifying the TH-SM intervention’s focus and SM support components, the TH delivery type, and the TH-SM support effects on stroke survivors. Five databases were searched for the years 2005–2020 to identify TH-SM support interventions for stroke survivors. Randomized controlled trials and quasi-experimental, one-group re-post study designs were included. Ten studies were reviewed. TH-SM support focused on post-stroke depression, obesity management, participation, functional mobility, and activities of daily living. The TH delivery type most used in selected studies was messaging. Regarding the SM support components, the education component was used in all studies, and psychological support and lifestyle advice and support were used in 8 out of 10 studies. TH-SM intervention had positive effects in terms of goal achievement for SM behavior, emotional state, and mobility of clinical outcomes, and TH acceptance in stroke survivors. Although the TH-SM-supported intervention effects were not found consistently in all outcomes, this review discovered a positive effect on various SM-related outcomes. In addition, TH delivery types and SM support components showed the possibility of various options to be considered for intervention. Therefore, we suggest that TH-SM supported intervention is a positive alternative for SM support in stroke survivors.
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Lee, Ji Yeon, and Hee Kyung Chang. "Factors Influencing Family Caregivers' Self-management of Acute Stroke Survivors." Korean Journal of Adult Nursing 30, no. 6 (2018): 669. http://dx.doi.org/10.7475/kjan.2018.30.6.669.

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Kitchens, Riqiea. "Survivors’ Perspectives: Exploring Occupational Adaptation in Stroke Self-Management Programs." American Journal of Occupational Therapy 74, no. 4_Supplement_1 (August 1, 2020): 7411520503p1. http://dx.doi.org/10.5014/ajot.2020.74s1-po9720.

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GUAN, Fengguang, Mei WANG, and Xiaoqin LIAN. "Association of Self-management and Social Support among Stroke Patients." Rehabilitation Medicine 28, no. 5 (2018): 50. http://dx.doi.org/10.3724/sp.j.1329.2018.05050.

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37

Jones, Fiona. "Stepping Out: A programme focusing on self-management after stroke." International Journal of Therapy and Rehabilitation 15, no. 12 (December 2008): 540–41. http://dx.doi.org/10.12968/ijtr.2008.15.12.31809.

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Jones, Fiona, and Lucinda Brimicombe. "Every interaction counts: The ‘Bridges’ approach to stroke self-management." International Journal of Therapy and Rehabilitation 21, no. 4 (April 2, 2014): 158–59. http://dx.doi.org/10.12968/ijtr.2014.21.4.158.

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39

Kidd, Lisa, Maggie Lawrence, Jo Booth, and Anne Rowat. "Stroke self-management: what does good nursing support look like?" Primary Health Care 25, no. 3 (March 27, 2015): 24–27. http://dx.doi.org/10.7748/phc.25.3.24.e946.

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40

Lennon, Sheila, Suzanne McKenna, and Fiona Jones. "Self-management programmes for people post stroke: a systematic review." Clinical Rehabilitation 27, no. 10 (March 29, 2013): 867–78. http://dx.doi.org/10.1177/0269215513481045.

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41

Kimmel, Barbara, JaneA Anderson, Helena VonVille, KarenA Stonecypher, and Ross Shegog. "Goal attainment measure for stroke self-management: An umbrella review." Heart and Mind 4, no. 2 (2020): 45. http://dx.doi.org/10.4103/hm.hm_5_20.

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42

Yuniarti, Irmina Ika, and I. Made Kariasa. "Peran Keluarga Terhadap Self Management Pasien Pasca Stroke: Literature Review." Dunia Keperawatan: Jurnal Keperawatan dan Kesehatan 8, no. 3 (November 30, 2020): 452. http://dx.doi.org/10.20527/dk.v8i3.8256.

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43

Ruksakulpiwat, Suebsarn, and Wendie Zhou. "Self-management interventions for adults with stroke: A scoping review." Chronic Diseases and Translational Medicine 7, no. 3 (September 2021): 139–48. http://dx.doi.org/10.1016/j.cdtm.2021.03.001.

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44

Robertson, Suzanne M., Cashuna Huddleston, Ben Porter, Amber B. Amspoker, and Gina L. Evans-Hudnall. "Self-care self-efficacy, religious participation and depression as predictors of poststroke self-care among underserved ethnic minorities." Health Psychology Research 1, no. 1 (April 3, 2013): 13. http://dx.doi.org/10.4081/hpr.2013.690.

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Underserved ethnic minorities have multiple chronic disease risk factors, including tobacco, alcohol and substance use, which contribute to increased incidence of stroke. Self-efficacy (self-care self-efficacy), religious participation and depression may directly and indirectly influence engagement in post stroke self-care behaviors. The primary aim of the present study was to investigate the effects of self-care self-efficacy, religious participation and depression, on tobacco, alcohol and substance use in a sample of largely ethnic minority, underserved stroke survivors (n=52). Participants previously recruited for a culturally tailored secondary stroke prevention self-care intervention were included. The treatment group received three stroke self-care sessions. The usual care group completed assessments only. Both groups were included in these analyses. Main outcome measures included tobacco, alcohol and substance use. Self-care self-efficacy, religious participation and depression were also assessed. Logistic regression analyses, using self-efficacy, religious practice and depression as the referents, were used to predict binary outcomes of tobacco, alcohol and substance use at 4-weeks post-stroke. Higher depression and self-care self-efficacy were associated with reduced odds of smoking and substance use. Greater participation in religious activities was associated with lower odds of alcohol use. We can conclude that incorporating depression treatment and techniques to increase self-care self-efficacy, and encouraging religious participation may help to improve stroke self-care behaviors for underserved and low socioeconomic status individuals. Results are discussed in the context of stroke self-management.
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Cho, Sook Hee, and Kyung Soon Yun. "Influence of Uncertainty, Physiologic Risk Factors, Self-efficacy on Self-management in Stroke Patients." Journal of muscle and joint health 23, no. 2 (August 31, 2016): 114–24. http://dx.doi.org/10.5953/jmjh.2016.23.2.114.

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46

Kristine Stage Pedersen, Sedsel, Susanne Lillelund Sørensen, Henriette Holm Stabel, Iris Brunner, and Hanne Pallesen. "Effect of Self-Management Support for Elderly People Post-Stroke: A Systematic Review." Geriatrics 5, no. 2 (June 18, 2020): 38. http://dx.doi.org/10.3390/geriatrics5020038.

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A systematic review was undertaken to determine the efficacy of self-management interventions for people with stroke over the age of 65 in relation to psychosocial outcomes. PubMed, Embase, and PsycInfo were searched for randomized controlled clinical trials. Studies were eligible if the included people with stroke had a mean age ≥65 years in both the intervention and control group. Data on psychosocial measurements were extracted and an assessment of methodological quality was undertaken. Due to heterogeneity across the studies, the results were synthesized narratively. Eleven studies were identified. They included different self-management interventions in terms of theoretical rationales, delivery, and content. Seven psychosocial outcomes were identified: i) self-management, ii) self-efficacy, iii) quality of life, iv) depression, v) activities of daily living, vi) active lifestyle, and vii) other measures. Self-management interventions for people with stroke over the age of 65 may be beneficial for self-management, self-efficacy, quality of life, activity of daily living, and other psychosocial outcomes. However, low study quality and heterogeneity of interventions, as well as variation in time of follow-up and outcome measures, limit the possibility of making robust conclusions.
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Kessler, Dorothy, Amir Afkham, Aline Bourgoin, Sophia Gocan, Brammiya Sivakumar, Mary Windsor, and Clare Liddy. "An Electronic Referral Initiative to Facilitate Referral to a Chronic Disease Self-Management Program for Persons with Transient Ischemic Attack." ACI Open 01, no. 01 (November 2017): e1-e6. http://dx.doi.org/10.1055/s-0037-1608647.

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Background Transient ischemic attack (TIA) is a strong predictor of subsequent stroke. Measures to decrease stroke incidence following TIA include medical management, risk factor optimization, and lifestyle modification. Best practice recommendations for stroke care promote individualized education on self-management across transitions from hospital to community settings. In the study region, patients with TIA are referred to the stroke prevention clinic where they receive rapid stroke assessment, risk factor management, education, and referral to risk reduction programs. Long-term management is typically the responsibility of primary care providers who may have limited resources for self-management support. Promotion of existing chronic disease self-management (CDSM) programs can complement this support. Objective The objective of our project was to examine the feasibility and acceptability of an electronic referral system to an existing CDSM program to facilitate self-management support for persons with TIA. Methods We performed a descriptive evaluation of a quality improvement project that involved development and implementation of a new electronic referral (eReferral) process. A partnership between the stroke prevention clinic and the regional Living Healthy CDSM program was developed alongside a clinical information system redesign implementing an eReferral system. Results Referral to the Living Healthy CDSM program was offered to each patient at the stroke prevention clinic. Of 912 patients seen over a 6-month period, 62 (7%) agreed to be referred. Of these, 23 (37%) were registered or waitlisted. Conclusion Formation of a partnership and implementation of the eReferral system facilitated referral to the Living Healthy CDSM program. Despite low referral and enrollment rates, the eReferral system provides one option to enhance self-management support for persons with TIA.
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Mores, Gail, Rhonda McNicoll Whiteman, Jenny Ploeg, Patricia Knobl, Miriam Cahn, Laura Klaponski, Ann Lindley, and Kathy Fisher. "An Evaluation of the Family Informal Caregiver Stroke Self-Management Program." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 45, no. 6 (November 2018): 660–68. http://dx.doi.org/10.1017/cjn.2018.335.

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AbstractBackground:Caregivers are often unprepared and overwhelmed with the responsibilities of providing care to stroke survivors, which can lead to negative physical and psychological effects.Purpose:To evaluate the impact of the Family Informal Caregiver Stroke Self-Management (FICSS) program on burden and life changes resulting from providing care among family caregivers of stroke survivors.Methods:A prospective pre-test and post-test design using quantitative and qualitative data was used to evaluate the program with a convenience sample of 42 caregivers. The four-module facilitated program consisted of small group-guided discussion. Quantitative evaluations were completed at baseline, 2 weeks and 6 months (post-intervention), and qualitative data were collected at 2 weeks and 6 months. Life changes and burden were measured using the Bakas Caregiving Outcome Scale (BCOS) and the Oberst Caregiving Burden Scale (OCBS), respectively.Results:The BCOS scores increased consistently over time, showing significant differences at 6 months compared with 2 weeks (mean difference: 5.29, 95% confidence interval [CI]: 0.30-10.28,p=0.04) and baseline (mean difference: 7.58, 95% CI: 2.92-12.23,p=0.001). The OCBS time scores decreased consistently over time, showing a significant difference at 6 months compared with baseline (mean difference: −5.20, 95% CI: −0.96 to −9.44,p=0.02). The OCBS difficulty scores fluctuated over time, resulting in no overall difference from baseline to 6 months. Qualitative themes were consistent with the positive quantitative findings.Conclusion:Study results suggest that the FICSS program may result in reduced caregiver burden and improved life changes resulting from providing care.
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Morais, Huana Carolina Cândido, Nathalia Costa Gonzaga, Priscila de Souza Aquino, and Thelma Leite de Araujo. "Strategies for self-management support by patients with stroke: integrative review." Revista da Escola de Enfermagem da USP 49, no. 1 (February 2015): 136–43. http://dx.doi.org/10.1590/s0080-623420150000100018.

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OBJECTIVE To analyze strategies for self-management support by patients with stroke in the light of the methodology of the five A's (ask, advice, assess, assist and arrange). METHODS Integrative review conducted at the following databases CINAHL, SCOPUS, PubMed, Cochrane and LILACS. RESULTS A total of 43 studies published between 2000 and 2013 comprised the study sample. All proposed actions in the five A's methodology and others were included. We highlight the Assist and Arrange, in which we added actions, especially with regard to the use of technological resources and joint monitoring between patients, families and professionals. No study included all five A's, which suggests that the actions of supported self-management are developed in a fragmented way. CONCLUSION The use of five A's strategy provides guidelines for better management of patients with stroke with lower cost and higher effectiveness.
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Lei, Ting-Ting, Hong-Mei Han, and Xiao-Jing Liu. "Multiple mediation effects of health locus of control and hope on the relationship between stroke patients’ social support and self-management." Frontiers of Nursing 7, no. 1 (March 31, 2020): 49–57. http://dx.doi.org/10.2478/fon-2020-0005.

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AbstractObjectiveThis study aimed to identify the mediation effects of health locus of control (HLC) and hope between stroke patients’ social support and self-management.MethodsA cross-sectional study was conducted. A total of 300 Chinese stroke patients were recruited by convenient sampling from the acupuncture department of two Chinese Traditional Medical Hospitals in Tianjin Province from June to September 2018. The self-report questionnaires include Social Support Assessment Scale, Herth Hope Index, Mental Health Locus of Control Scale, Stroke Self-management Behavior Scale, and personal information questionnaires. All the survey data were entered in Excel and analyzed using the SPSS 24.0 program. Mediation was tested with Bootstrapping in AMOS 23.0 program.ResultsThe result showed that internal health locus of control (IHLC), chance health locus of control (CHLC) and hope were the mediators between social support and self-management. The direct, indirect, and total effects of social support on self-management behavior were 0.306 P < 0.01), 0.109 (P < 0.01), and 0.415 (P < 0.01), respectively.ConclusionsSocial support can directly influence self-management, and it can also indirectly influence self-management through IHLC, CHLC, and hope.
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