Hui Xie

Ms. Hui Xie

Bengbu medical college

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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5 December 2024 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
XXXuejie Xu
Xuejie Xu
GZGuoli Zhang
Guoli Zhang
YXYuxin Xia
Yuxin Xia
HXHui Xie
Hui Xie
ZDZenghui Ding
Zenghui Ding
HXHui Xie
Hui Xie
Background: Personalized intelligent exercise prescriptions have demonstrated significant benefits in increasing physical activity and improving individual health. However, the health benefits of these prescriptions depend on long-term adherence. Therefore, it is essential to analyze the factors influencing adherence to personalized intelligent exercise prescriptions and explore the intrinsic relationship between individual behavioral motivation and adherence. This understanding can help improve adherence and maximize the effectiveness of such prescriptions. Objective: This study aims to identify the factors influencing adherence behavior among middle-aged and older community residents who have been prescribed personalized exercise regimens through an electronic health promotion system. It also explores how these factors affect the initiation and maintenance of adherence behavior. Methods: We used purposive sampling to conduct individual, face-to-face semistructured interviews based on the Transtheoretical Model (TTM) with 12 middle-aged and older community residents who had been following personalized exercise regimens for 8 months. These residents had received detailed exercise health education and guidance from staff. The interviews were recorded, transcribed verbatim, and analyzed using NVivo software through grounded theory. We then applied the TTM and multibehavioral motivation theory to analyze the factors influencing adherence. Additionally, the relationship between behavioral motivations and adherence was explored. Results: Using the behavior change stages of the TTM, open coding yielded 21 initial categories, which were then organized into 8 main categories through axial coding: intrinsic motivation, extrinsic motivation, benefit motivation, pleasure motivation, achievement motivation, perceived barriers, self-regulation, and optimization strategies. Selective coding further condensed these 8 main categories into 3 core categories: “multitheory motivation,” “obstacle factors,” and “solution strategies.” Using the coding results, a 3-level model of factors influencing adherence to intelligent personalized exercise prescriptions was developed. Based on this, an implementation path for promoting adherence to intelligent personalized exercise prescriptions was proposed by integrating the model with the TTM. Conclusions: Adherence to personalized exercise prescriptions is influenced by both facilitating factors (eg, multibehavioral motivation, optimization strategies) and obstructive factors (eg, perceived barriers). Achieving and maintaining adherence is a gradual process, shaped by a range of motivations and factors. Personalized solutions, long-term support, feedback mechanisms, and social support networks are essential for promoting adherence. Future efforts should focus on enhancing adherence by strengthening multibehavioral motivation, optimizing solutions, and addressing barriers to improve overall adherence.

12 September 2023 in JMIR Research Protocols
Verified
Journal Article
Open access
HXHui Xie
Hui Xie
HZHuanhuan Zhao
Huanhuan Zhao
ZDZenghui Ding
Zenghui Ding
HXHui Xie
Hui Xie
LMLinlin Ma
Linlin Ma
ZMZuchang Ma
Zuchang Ma
Background: Hypertension is the most prevalent chronic condition and a significant risk factor for cardiovascular and kidney diseases. The efficacy of health behavioral interventions in blood pressure (BP) control has been demonstrated by a large and expanding body of literature, with “adherence” playing a crucial role. WeChat is the most common social communication mobile app in China, and it has been shown to be an acceptable delivery platform for delivering health interventions. The WeChat-based health behavioral digital intervention program (WHBDIP) showed high feasibility and efficacy. However, the results regarding BP improvement between the WHBDIP and control groups were inconsistent. Objective: The objective of this study is to develop a WHBDIP and assess its efficacy in controlling BP and improving adherence among patients with hypertension. Methods: A 2-arm, parallel-group, and randomized trial design was used. Patients older than 60 years and with hypertension were randomly assigned to either the control group or the experimental group, which received a 12-week intervention. The program, primarily developed based on the Behavior Change Wheel (BCW) theory, offers health education on exercise, diet, BP monitoring, and medicine adherence (MA). It also includes other behavior interventions guided by an intervention manual, incorporating behavior change techniques (BCTs). The primary outcomes encompass BP and adherence indicators, while the secondary outcomes encompass cardiovascular function indicators, body composition indicators, learning performance, satisfaction, and acceptability. The exercise and blood pressure monitoring adherence (BPMA) indicators for the WHBDIP group were assessed weekly via WeChat during the initial 3 months, while other outcome data for both groups will be collected at the baseline assessment phase, 3 months after the intervention, and 1 year after the program. Results: The trial will assess the efficacy of WHBDIP for patients with hypertension (N=68). The WHBDIP seeks to enhance participants' knowledge of healthy behaviors and assist patients in developing positive health behaviors to improve their health outcomes. Patient recruitment for individuals with hypertension commenced on September 5, 2022, and concluded on September 19, 2022. The 3-month intervention and phased data collection were finalized in January 2023. Data analysis will commence in August 2023, and the final 1-year health outcome results will be collected in September 2023. Conclusions: A successful WHBDIP will establish the management mode as a feasible approach for hypertension management in the community. Additionally, it will pave the way for the development of related mobile health programs. Trial Registration: Chinese Clinical Trial Registry ChiCTR2200062643; https://tinyurl.com/mwyv67wk International Registered Report Identifier (IRRID): PRR1-10.2196/46883

15 December 2023 in JMIR Medical Education
Verified
Journal Article
Open access
HXHui Xie
Hui Xie
XXXuejie Xu
Xuejie Xu
NZNingning Zhu
Ningning Zhu
JZJing Zhang
Jing Zhang
ZMZuchang Ma
Zuchang Ma
HXHui Xie
Hui Xie
Background: Service learning (SL) is a pedagogical approach that combines community service with cognitive learning for professionals. Its efficacy in promoting community health has gained broad recognition in nursing education. The application of postgraduate nursing SL programs in community-based intelligent health remains underexplored. Thus, additional investigation is necessary to assess the influence of the SL project based on a community-oriented intelligent health promotion system (SLP-COIHPS) on postgraduate nursing students and health service recipients. Objective: This study aims to assess how SLP-COIHPS influences the scientific awareness and research innovation abilities of postgraduate nursing students. In addition, the study sought to examine the experiences of both participating students and health service recipients. Methods: We conducted a mixed methods investigation by using web-based surveys and conducting interviews. The web-based surveys aimed to explore the differences in scientific awareness and research innovation capabilities between 2 distinct groups: an experimental group of 23 postgraduate nursing students actively participated in SLP-COIHPS, while 23 postgraduate students (matched one-to-one with the experimental group in terms of grade, sex, and research methods) served as control participants. Semistructured interviews were conducted with 65% (15/23) of postgraduate students and 3% (12/405) of community residents who received health services, aiming to assess the project’s impact on them. The community-based intelligent health promotion system installed in intelligent health cabins can be conceptualized as an expert system providing valuable references for student health education. It has the capability to generate comprehensive assessments and personalized health guidance plans. Following training, students were involved in offering health assessments, health education, and related services. Subsequently, after the web-based surveys and semistructured interviews, quantitative data were analyzed using the SPSS (IBM Corp) software package, using 2-tailed t tests and Mann-Whitney U tests; qualitative data underwent analysis using the constructivist grounded theory approach. Results: Postgraduate nursing students participating in this program scored 12.83 (Cohen d>0.8; P<.001) and 10.56 (Cohen d>0.8; P=.004) points higher than postgraduate students in the control group in research awareness and research innovation capability, respectively. On the basis of the qualitative results, postgraduate students reported improvement in this program. Analysis of the interviews revealed a total of 12 subcategories across three primary domains: (1) specialized skills, (2) scientific research ability, and (3) comprehensive qualities. Community residents reported high satisfaction and positive experiences. Analysis of the interviews with community residents identified two primary categories: (1) satisfaction and (2) perceived benefits. Conclusions: SLP-COIHPS had a positive impact on students’ development of scientific awareness and research innovation ability. Qualitative study findings also support the further development of practical programs that integrate intelligent health and SL theories in the field of medical education. This includes exploring the potential factors influencing postgraduate nursing students’ research capabilities or investigating the long-term effects of the project.

1 October 2025 in Patient Preference and Adherence
Verified
Journal Article
Open access
PDF file
GZGuoli Zhang
Guoli Zhang
YXYuxin Xia
Yuxin Xia
XLXuelei Li
Xuelei Li
YZYun Zhang
Yun Zhang
XXXuejie Xu
Xuejie Xu
HXHui Xie
Hui Xie
Background: Despite proven benefits, intelligent personalized exercise prescription (IPEP) adherence remains low in middle-aged and older adults with chronic diseases (MOACD). Research evidence suggests that mobile health (mHealth)-based gamification interventions can improve participation in physical activity; however, their effects on adherence to IPEP remain unclear. Moreover, most studies report that adherence often declines rapidly once gamification interventions end, and no effective strategies have been proposed to address this issue. This study embeds the Octalysis gamification framework into a smartphone-based app to investigate the effects of an mHealth-based gamification intervention on adherence to IPEP among MOACD, as well as on related physical and psychological outcomes. Additionally, the study examines whether combining gamification interventions with health education can help sustain adherence after the intervention concludes. Methods: We propose a double-center, single-blind, three-arm randomized controlled trial. We will recruit 132 MOACD who will participate in dyads (66 pairs). Participants will be randomly assigned to three groups: a non-gamification group, a gamification group, or a health education plus gamification group. The intervention will last for 12 weeks, followed by a 12-week follow-up period. The primary outcome is adherence to IPEP, defined as the proportion of days on which participants completed their prescribed exercise tasks at 12 and 24 weeks. Secondary outcomes include biomedical risk factors, sedentary behavior, sleep quality, self-efficacy, intrinsic motivation, patient satisfaction, and the acceptability of the intervention. Conclusion: This trial employs the Octalysis gamification framework to design an intervention aimed at enhancing adherence to the IPEP. The findings may inform the development of scalable digital interventions to promote physical activity and long-term adherence among MOACD.

19 May 2026 in The Journal of Arthroplasty
Verified
Journal Article
Closed access
YXYuxin Xia
Yuxin Xia
YWYuhang Wang
Yuhang Wang
GZGuoli Zhang
Guoli Zhang
XLXuelei Li
Xuelei Li
YZYun Zhang
Yun Zhang
HXHui Xie
Hui Xie

30 August 2023 in JMIR Preprints
Verified
Preprint
Open access
HXHui Xie
Hui Xie
XXXuejie Xu
Xuejie Xu
NZNingning Zhu
Ningning Zhu
JZJing Zhang
Jing Zhang
ZMZuchang Ma
Zuchang Ma
HXHui Xie
Hui Xie
BACKGROUND Service learning (SL) is a pedagogical approach that combines community service with cognitive learning for professionals. Its efficacy in promoting community health has gained broad recognition in nursing education. The application of postgraduate nursing SL programs in community-based intelligent health remains underexplored. Thus, additional investigation is necessary to assess the influence of the SL project based on a community-oriented intelligent health promotion system (SLP-COIHPS) on postgraduate nursing students and health service recipients. OBJECTIVE This study aims to assess how SLP-COIHPS influences the scientific awareness and research innovation abilities of postgraduate nursing students. In addition, the study sought to examine the experiences of both participating students and health service recipients. METHODS We conducted a mixed methods investigation by using web-based surveys and conducting interviews. The web-based surveys aimed to explore the differences in scientific awareness and research innovation capabilities between 2 distinct groups: an experimental group of 23 postgraduate nursing students actively participated in SLP-COIHPS, while 23 postgraduate students (matched one-to-one with the experimental group in terms of grade, sex, and research methods) served as control participants. Semistructured interviews were conducted with 65% (15/23) of postgraduate students and 3% (12/405) of community residents who received health services, aiming to assess the project’s impact on them. The community-based intelligent health promotion system installed in intelligent health cabins can be conceptualized as an expert system providing valuable references for student health education. It has the capability to generate comprehensive assessments and personalized health guidance plans. Following training, students were involved in offering health assessments, health education, and related services. Subsequently, after the web-based surveys and semistructured interviews, quantitative data were analyzed using the SPSS (IBM Corp) software package, using 2-tailed t tests and Mann-Whitney U tests; qualitative data underwent analysis using the constructivist grounded theory approach. RESULTS Postgraduate nursing students participating in this program scored 12.83 (Cohen d>0.8; P<.001) and 10.56 (Cohen d>0.8; P=.004) points higher than postgraduate students in the control group in research awareness and research innovation capability, respectively. On the basis of the qualitative results, postgraduate students reported improvement in this program. Analysis of the interviews revealed a total of 12 subcategories across three primary domains: (1) specialized skills, (2) scientific research ability, and (3) comprehensive qualities. Community residents reported high satisfaction and positive experiences. Analysis of the interviews with community residents identified two primary categories: (1) satisfaction and (2) perceived benefits. CONCLUSIONS SLP-COIHPS had a positive impact on students’ development of scientific awareness and research innovation ability. Qualitative study findings also support the further development of practical programs that integrate intelligent health and SL theories in the field of medical education. This includes exploring the potential factors influencing postgraduate nursing students’ research capabilities or investigating the long-term effects of the project.