Shu-Mei Chao

Shu-Mei Chao


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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SLSujung Liao
Sujung Liao
SCShu-Mei Chao
Shu-Mei Chao
YFYu-Wen Fang
Yu-Wen Fang
JRJiin-Ru Rong
Jiin-Ru Rong
CHChia-Jou Hsieh
Chia-Jou Hsieh
Depression is the second-leading cause of disability among older patients worldwide. This study examined the effectiveness of the Integrated Care Model (ICM) intervention in decreasing depression, suicide ideation, and psychological symptoms and improving life satisfaction among old patients with depression living in communities. The participants were allocated to either the intervention (n = 67) or control group (n = 76) from July 2018 to November 2018. All participants received the usual geriatric care for three months in eastern Taiwan. Additionally, participants in the intervention group were treated according to the ICM, including the assessment and management of health problems, improvements in spiritual and mental wellbeing, helping with activities of daily life and mobility, providing social welfare resources, and prevention of elder abuse. The patients in the experimental group showed significant improvement in the group-by-time effect on the Center for Epidemiologic Studies Depression Scale, the Brief Symptom Rating Scale, suicide ideation measures, and the Life Satisfaction Index over 18 weeks. The ICM should be included in routine geriatric care and adopted in hospitals, long-term care facilities, and communities

5 March 2024 in Healthcare
Verified
Journal Article
Open access
PDF file
SCShu-Mei Chao
Shu-Mei Chao
CPChao-Kuei Pan
Chao-Kuei Pan
MWMing-Ling Wang
Ming-Ling Wang
YFYu-Wen Fang
Yu-Wen Fang
SCShu-Fen Chen
Shu-Fen Chen
MHealth has been utilized in the care of patients with chronic kidney disease, allowing the collection of patient health-related data, offering disease-related information, enabling the tracking and recording of biochemical parameters, and enabling communication with healthcare providers in real time through applications. mHealth may improve the health outcomes in patients with peritoneal dialysis. This systematic review aimed to summarize evidence regarding the functionality and usability of mHealth apps in patients with peritoneal dialysis. We conducted a comprehensive literature review, searching in five databases, including CINAHL, Cochrane, PsycINFO, PubMed, and Web of Science, to retrieve titles and abstracts related to peritoneal dialysis and mHealth applications for PRISMA recommendations from January 2013 to December 2023. Overall, 11 studies met all the inclusion criteria. The functionality of mHealth apps included inform, instruct, record, display, guide, remind/alert, and communicate. Most of the apps have multifunctionality. The usability was categorized into three aspects: efficiency (self-efficacy and usability), satisfaction, and effectiveness (underwent kidney transplantation and switched to hemodialysis, rehospitalization, peritonitis rate, infection rates at exit sites, mortality, fluid overload, inadequate solute clearance, biochemical values, quality of life, consumer quality index, and technology readiness). Generally, outcomes in the intervention group had better effects compared to those in the control group. Multifunctional mHealth apps show a good potential in improving the efficiency, satisfaction, and effectiveness for patients compared to traditional care. Future research should include more studies and participants to explore and verify the long-term effectiveness of mHealth apps.

25 March 2024 in Healthcare
Verified
Journal Article
Open access
PDF file
SCShu-Mei Chao
Shu-Mei Chao
MWMing-Ling Wang
Ming-Ling Wang
YFYu-Wen Fang
Yu-Wen Fang
MLMei-Ling Lin
Mei-Ling Lin
SCShu-Fen Chen
Shu-Fen Chen
Background: Peritoneal dialysis (PD) is one type of renal replacement therapy. If patients have problems during the dialysis process, healthcare providers may not be able assist the patients immediately. mHealth can provide patients with information and help them to solve problems in real-time, potentially increasing their willingness to choose PD. Objective: The objectives of this study were to conduct a comprehensive review of free mobile applications for patients with PD on the Internet and to recommend suitable mobile applications to facilitate patient self-management and health. Methods: We conducted a systematic search for PD mobile applications on Google Play and the Apple iTunes Store from 3 to 16 June 2023. Results: A total of 828 identifiable mobile applications were initially identified, and ultimately, 21 met the inclusion criteria. The Mobile App Rating Scale (MARS) assessment of the applications revealed the highest score in the functionality domain, followed by the aesthetics, information, app-specific, subjective quality, and engagement domains, respectively. In the comprehensive self-management of PD, the highest percentage was related to disease-related information. Conclusion: The findings of this study suggest that some applications, with the highest quality, can be recommended to patients for use in English or traditional Chinese.

3 December 2021 in Clinical Nursing Research
Verified
Journal Article
Closed access
PDF file
SCShu-Mei Chao
Shu-Mei Chao
MYMiaofen Yen
Miaofen Yen
HTHsiu-Lan Teng
Hsiu-Lan Teng
DNDhea Natashia
Dhea Natashia
FYFang-Ru Yueh
Fang-Ru Yueh
Using the helping relationships from significant others (HRSO) scale assists patients, such as those with chronic kidney disease (CKD), in adopting a healthy lifestyle to decelerate disease progression, complications, and mortality. To study the efficacy of the scale, we recruited a convenience sample (n = 250) of patients with CKD from a nephrology clinic in southern Taiwan. Principal axis factor analysis and a promax rotation revealed a 15-item, three-factor explanation of 68.44 % of the total variance. The confirmatory factor analysis showed a good fit. The Composite reliability was .91, .89, and .92 in the same factors. Cronbach’s alpha was .90 for the 15-item scale, with the 3 subscales ranging from .86 to .91. The split reliability was .73. The HRSO is a valid and reliable scale to measure significant others’ support of patients with CKD in maintaining a healthy lifestyle.

23 February 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
SCShu-Mei Chao
Shu-Mei Chao
CPChao-Kuei Pan
Chao-Kuei Pan
MWMing-Ling Wang
Ming-Ling Wang
YFYu-Wen Fang
Yu-Wen Fang
SCShu-Fen Chen
Shu-Fen Chen
Keywords: mHealth; peritoneal dialysis; functionality; usability

31 October 2025 in Nurse Education in Practice
Verified
Journal Article
Open access
HCHui-Mei Chao
Hui-Mei Chao
SCShin-Wen Chen
Shin-Wen Chen
SCShu-Mei Chao
Shu-Mei Chao
This study aims to evaluate the effect of cardiovascular physical examination employed on mobile applications in nursing students. Mobile learning applications have become a new teaching method; however, few studies on clinical physical examination teaching exist. Improving students' technical ability via exploiting innovative teaching methods to promote autonomous learning and clinical decision-making ability is crucial. A cluster-randomized controlled trial with a pre-test-post-test design was conducted among 82 nursing students enrolled in the five-year junior college program in the College of Nursing, with 42 students assigned to the intervention group and 40 to the control group. The intervention group used the mobile application cardiovascular physical examination teaching method (n = 42), while the control group used only the traditional face-to-face teaching method (n = 40), to evaluate students' learning effectiveness. Compared with the control group, the intervention group showed improved skill performance. In addition, the two groups showed no significant differences in Clinical reasoning readiness, self-learning ability, knowledge and learning satisfaction. Mobile learning applications improve students' skill performance to a greater degree than traditional face-to-face teaching. It is recommended that teachers implement mobile learning applications in nursing courses, test these methods in various settings to evaluate their impact and use these findings to update the curriculum based on current educational needs.