https://he01.tci-thaijo.org/index.php/CUNS/issue/feedJournal of Nursing Research, Innovation, and Health2024-08-30T00:00:00+07:00_________________________jnscu@chula.ac.thOpen Journal Systems<p><span style="font-weight: 400;">เป็นวารสารที่ตีพิมพ์บทความทางวิชาการ</span><span style="font-weight: 400;">ในสาขาพยาบาลศาสตร์ ที่ผ่านการพิจารณาจากผู้ทรงคุณวุฒิอย่างน้อย 3 คน</span></p> <p> </p> <p><strong>วัตถุประสงค์</strong><span style="font-weight: 400;"> </span><span style="font-weight: 400;"> </span></p> <p><span style="font-weight: 400;">1.</span><span style="font-weight: 400;"> เพื่อเสนอวิทยาการก้าวหน้าทางพยาบาลศาสตร์</span></p> <p>2. เพื่อส่งเสริมและเผยแพร่งานวิจัยที่มีคุณค่าต่อวิชาชีพพยาบาล</p> <p>3. เพื่อเป็นศูนย์กลางในการเผยแพร่ความรู้และข่าวสารทางพยาบาลศาสตร์</p> <p>4. เพื่อส่งเสริมและเผยแพร่เกียรติคุณของสถาบัน</p> <p><strong>กำหนดออก</strong><strong> </strong><span style="font-weight: 400;"> </span><span style="font-weight: 400;">ทุก </span><span style="font-weight: 400;">4 </span><span style="font-weight: 400;">เดือน ปีละ </span><span style="font-weight: 400;">3 </span><span style="font-weight: 400;">ฉบับ </span></p> <p><span style="font-weight: 400;">ฉบับที่ </span><span style="font-weight: 400;">1 </span><span style="font-weight: 400;">มกราคม</span><span style="font-weight: 400;">-</span><span style="font-weight: 400;">เมษายน </span><span style="font-weight: 400;">ฉบับที่ </span><span style="font-weight: 400;">2 </span><span style="font-weight: 400;">พฤษภาคม</span><span style="font-weight: 400;">-</span><span style="font-weight: 400;">สิงหาคม และ ฉบับที่ </span><span style="font-weight: 400;">3 </span><span style="font-weight: 400;">กันยายน</span><span style="font-weight: 400;">-</span><span style="font-weight: 400;">ธันวาคม</span></p> <p><strong>เจ้าของ</strong> <span style="font-weight: 400;">คณะพยาบาลศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย </span></p> <p><span style="font-weight: 400;">อาคารบรมราชชนนีศรีศตพรรษ ชั้น </span><span style="font-weight: 400;">11 </span><span style="font-weight: 400;">ถนนพระราม </span><span style="font-weight: 400;">1 </span><span style="font-weight: 400;">แขวงวังใหม่ เขตปทุมวัน กรุงเทพฯ </span><span style="font-weight: 400;">10330</span></p> <p><span style="font-weight: 400;">โทร</span><span style="font-weight: 400;">. 02-218-1124-29, 02-218-1131-32 </span><span style="font-weight: 400;">โทรสาร</span><span style="font-weight: 400;">. 02-218-1130</span></p> <p><strong>พิมพ์ที่</strong> <span style="font-weight: 400;"> โรงพิมพ์แห่งจุฬาลงกรณ์มหาวิทยาลัย </span><span style="font-weight: 400;">โทร</span><span style="font-weight: 400;">. 02-215-3612, 02-218-3563-4</span></p> <div class="journal-description"> </div>https://he01.tci-thaijo.org/index.php/CUNS/article/view/266839Selected Factors Related to Death Anxiety of Persons with Cancer2024-03-10T23:58:38+07:00Panida Tukhin6370034336@student.chula.ac.thNoppamat Pudtongnoppamat.p@chula.ac.thSureeporn Thanasilps_thanasilp@hotmail.com<p><strong><em>Purpose</em></strong><strong><em>: </em></strong><em>To examine dead anxiety of persons with cancer and the relationship between age, gender, disease stage, cancer type, family relationships, Buddhist religious beliefs about death, self</em><em>-</em><em>efficacy, unfinished business, symptom severity, and dead anxiety of persons with cancer</em><em>. </em></p> <p><strong><em>Design: </em></strong><em>Descriptive correlational research </em></p> <p><strong><em>Methods:</em></strong><em> The sample group consisted of 181 individuals who have been diagnosed with cancer of all stages and all types, must be 18 years of age or older and received services at the cancer outpatient department of Ramathibodi Hospital and the National Cancer Institute. The research tools included a personal information questionnaire, Death Anxiety questionnaire, Family relationships assessment, unfinished business questionnaire, religious beliefs about death Questionnaire, Self-efficacy questionnaire and symptom severity questionnaire Cronbach’s alpha coefficients .85, .91, .84, .72, .86 and .87 Data were analyzed using Pearson’s correlation statistics and Eta.</em></p> <p><strong><em>Results: </em></strong><em>The research findings revealed that the sample group of cancer persons exhibited high levels of death anxiety, with an average score of 46.11 (SD = 10.80). Factors significantly positively correlated with death anxiety included disease stage, unfinished business, symptom severity, and cancer type (r = .77, r = .86, r = .55; Eta = .34, p < .05,). Factors significantly negatively correlated with death anxiety included family relationships, Buddhist religious beliefs about death, and self-efficacy (r = -.80, r = -.59, and r = -.34, p < .05). </em></p>2024-08-30T00:00:00+07:00Copyright (c) 2024 Journal of Nursing Research, Innovation, and Healthhttps://he01.tci-thaijo.org/index.php/CUNS/article/view/267243Factors Predicting The COVID-19 Preventive Behaviors among Elderly2024-03-01T11:02:17+07:00Saowanee Soboonnok2807@gmail.comDarunee Jaisawhangnok2807@gmail.com<p><strong><em>Purpose</em></strong><strong><em>:</em></strong><em> to study factors affecting the COVID</em><em>-</em><em>19 preventive behaviors among the Elderly</em><em>. </em></p> <p><strong><em>Design:</em></strong> <em>Descriptive predictive research</em></p> <p><strong><em>Methods:</em></strong> <em>Samples were 384 Elderly who lived in Ubon Ratchathani province. Samples were selected by the Multistage random sampling. Data were collected using questionnaires: demographic data form, Planned behavior Interview, Health literacy Interview and the COVID-19 preventive behaviors Interview. Data were analyzed using stepwise multiple regression.</em></p> <p><strong><em>Results:</em></strong> <em>The finding revealed that 1) the elderly had a high level of the COVID-19 preventive behaviors ( = 54.51, SD=7.91),2) the significant predictors of the COVID-19 preventive behaviors included Health literacy (Beta= .515, p < .001), and Behavior Intention (Beta = .365, p < .001 ) was able to predict the COVID-19 preventive behaviors of the elderly at 61.80 percentages.</em></p> <p><strong><em>Conclusion: </em></strong><em>Result findings can provide an evidenced data for the development of <br />the program to promote the COVID-19 preventive behaviors of the elderly</em></p>2024-08-30T00:00:00+07:00Copyright (c) 2024 Journal of Nursing Research, Innovation, and Healthhttps://he01.tci-thaijo.org/index.php/CUNS/article/view/266173The Effect of Wellness Recovery Action Plan Program on Depressive Symptoms of Older Persons with Major Depressive Disorder in Community2023-11-07T11:49:39+07:00Pornprasert Kaewkhampexsib10@gmail.comPennapa Dangdomyouthpennapa.d@chula.ac.th<p><strong><em>Purpose:</em></strong><em> To study the effect of wellness recovery action plan program on depressive symptoms of older persons with major depressive disorder in community</em></p> <p><strong><em>Design:</em></strong><em> Quasi</em><em>-</em><em>experimental research</em></p> <p><strong><em>Methods:</em></strong><em> The sample was older persons with major depressive disorder in community, both females and males aged 60 years and over who were diagnosed by a psychiatrist with major depressive disorder, selected by inclusion criteria, then, equally randomly assigned to an experimental group and a control group with 21 subjects in each group</em><em>. </em><em>The experimental group received the wellness recovery action plan program for 3 weeks</em><em>. </em><em>The control group received regular nursing care</em><em>. </em><em>The research instruments consisted of</em><em>: </em><em>1</em><em>) </em><em>the wellness recovery action plan program 2</em><em>) </em><em>the Beck depression inventory Thai version</em><em>. </em><em>Its CVI was </em><em>.</em><em>81</em><em>. </em><em>The Cronbach</em><em>’</em><em>s alpha coefficient reliability of </em><em>.</em><em>80</em><em>. </em><em>Data were analyzed by using t</em><em>-</em><em>test</em><em>.</em></p> <p><strong><em>Results:</em></strong><em> 1</em><em>) </em><em>The mean score of depressive symptoms after received the wellness recovery action plan program was significantly less than those before, at the </em><em>.</em><em>05 level</em><em>. </em><em>2</em><em>) </em><em>The mean score of depressive symptoms who received the wellness recovery action plan program were significantly less than the control group who received regular nursing care, at the </em><em>.</em><em>05 level</em><em>. </em></p> <p><strong><em>Conclusion: </em></strong><em>The result of this study support that the wellness recovery action plan program can reduce the depressive symptoms of older persons with major depressive disorder and more than regular nursing care.</em></p>2024-08-30T00:00:00+07:00Copyright (c) 2024 Journal of Nursing Research, Innovation, and Healthhttps://he01.tci-thaijo.org/index.php/CUNS/article/view/271235Predicting factors of health-related quality of life in patients with traumatic brain injury2024-07-14T23:04:07+07:00wilaiwan saengniamsaengwilaiwan@gmail.comKanyapat Kaewudonsaengwilaiwan@gmail.comSiriwan Kauwiriyapansaengwilaiwan@gmail.com<p><strong><em>วั</em></strong></p> <p><strong><em>Purpose</em></strong><strong><em>:</em></strong><em> to examine the health</em><em>-</em><em>related quality of life </em><em>(</em><em>HRQoL</em><em>) </em><em>in patients who have experienced traumatic brain injury and to identify the predictive factors related to it</em><em>.</em></p> <p><strong><em>Design:</em></strong> <em>Predictive research.</em></p> <p><strong><em>Methods: </em></strong><em>The study involved 110 patients who had experienced traumatic brain injury. Data was collected through questionnaires, including a demographic data form, resilience, coping, post-concussion syndrome, functional status, Disease-Specific Quality of Life (QOLIBRI), and General Quality of Life (SF36V2). The Cronbach’s alpha coefficients of the scales were .93, .92, .87, .88, and .96 respectively. The data was analyzed using stepwise multiple regression.</em></p> <p><strong><em>Results: </em></strong><em>1) The overall HRQoL were moderate level (QOLIBRI; = 63.1, SD = 10.3 and SF-36V2; = 61.3, SD = 19.3) 2) Coping and resilience were factors predicting the HRQoL in patients with traumatic brain injury at the level of .05, with a prediction power of 18.8 percent (using QOLIBRI questionnaires). Post-concussion syndrome, resilience and time since of injury</em> <em>were factors predicting</em> <em>the HRQoL in patients with traumatic brain injury at the level of .05, with a prediction power of 41.4 percent (using SF-36V2 questionnaires). </em></p> <p><em>Conclusion: The result findings can provide evidenced data for nurses to develop the nursing intervention to increase the HRQoL in patients with traumatic brain injuries. Post-concussion syndrome is the factor with the highest predictive power. Therefore, it should be the first variable that should be to develop a nursing intervention to manage these symptoms to increase the HRQoL in patients with traumatic brain injuries.</em></p>2024-08-30T00:00:00+07:00Copyright (c) 2024 Journal of Nursing Research, Innovation, and Healthhttps://he01.tci-thaijo.org/index.php/CUNS/article/view/270401Relationship between E-Health Information Literacy and Prevention Unintended Pregnancies Behaviors Among Female Adolescents2024-06-10T23:18:55+07:00Kodchanipa Phonpruknetrachanee.k@chula.ac.thNetrachanee Kamonratananunnetrachanee.k@chula.ac.thWayuree Lumponetrachanee.k@chula.ac.th<p><strong><em>Purpose</em></strong><strong><em>: </em></strong></p> <ol> <li><em> 1</em><em>. </em><em>To examine the e</em><em>-</em><em>health information literacy and preventive behaviors concerning unintended pregnancies among adolescent females</em><em>.</em></li> <li><em>2. To explore the correlation between e-health information literacy and preventive behaviors regarding unintended pregnancies among adolescent females.</em></li> </ol> <p><strong><em>Design: </em></strong><em>Cross-sectional Descriptive Study</em></p> <p><strong><em>Methods: </em></strong><em>The participants comprised 311 female high school students. In Mueang District, a province located in Southern Thailand, during the first semester of the academic year 2022, a total of 311 participants who owned smartphones and expressed willingness to participate in the project were enrolled, achieving a participation rate of 91.47%. Initially, four out of six schools were randomly chosen, followed by stratified sampling to ensure representation across grades. Data collection, conducted online, involved administering e-health literacy questionnaires. Analysis included descriptive statistics (mean, standard deviation) and inferential statistics (Pearson correlation coefficient) with a significance level of </em><em>α</em><em> = </em><em>0.05.</em></p> <p><strong><em>Results: </em></strong><em>The study Findings revealed that the mean age of the sample group was 16.68 years (SD = 0.98), e-health literacy (M = 2.21, SD = 1.35) and e-health literacy regarding the content aspect were relatively low (M = 1.83, SD = 1.14), whereas the level of awareness was moderate (M = 3.06, SD = 1.38). Additionally, preventive behaviors against unintended teenage pregnancies were reported to be low (M = 1.93, SD = 1.30). Furthermore, there were statistically significant moderate positive correlation between e-health literacy, e-health literacy in content and the level of awareness with preventive behaviors against unintended teenage pregnancies among adolescents at a significance level of .01 (r =.68, p< .01, r =.36, p< .01, r = .68, p< .01 respectively)</em></p> <p><strong><em>Conclusion: </em></strong><em>Low e-health literacy is associated with an increased risk of engaging in behaviors that do not prevent unintended teenage pregnancies among adolescents.</em></p>2024-08-30T00:00:00+07:00Copyright (c) 2024 Journal of Nursing Research, Innovation, and Healthhttps://he01.tci-thaijo.org/index.php/CUNS/article/view/268900The role of nurses in caring for women with depression during pregnancy, labor and postpartum periods2024-02-17T23:42:18+07:00Nuttaya Onpiwnuttaya828@gmail.comPrapirat Keawsiri Nuttaya828@gmail.comChawala BuahomNuttaya828@gmail.comYothaka PakeeNuttaya828@gmail.comJenjira KuntakNuttaya828@gmail.com<p>Currently, there is an increasing trend in the incidence of depression, especially among women during pregnancy, labor and postpartum periods. This depression has severe impacts on both the physical and mental health of mothers, as well as on the fetus during pregnancy. It also affects maternal role adjustment, mother-infant relationships, and marital and family relationships. Therefore, nurses should have knowledge, understanding, and prioritize nursing care for women with depression during pregnancy, labor and postpartum periods. By preventing potential impacts on women with depression during these critical periods, they can lead fulfilling lives in society and enjoy motherhood happily.</p>2024-08-30T00:00:00+07:00Copyright (c) 2024 Journal of Nursing Research, Innovation, and Health