Ahmed Mohamed Dirie, Nor Afiah Mohd Zulkefli, Salmiah Md Said, Ahmed Zaid Fatah Azman, Kassim Abdi Jimale, Osman Abubakar Fiidow
Background: Tuberculosis (TB) in children is one of the most significant public health crises in Somalia. This issue is aggravated by the fact that only 36.7% of children aged 12 to 23 months receive the Bacillus Calmette-Guérin (BCG) vaccine in Somalia, which helps prevent TB-disseminated diseases. Among the major factors that contribute to poor BCG uptake and TB prevention practices are the lack of maternal knowledge, negative attitude, and poor self-efficacy toward the BCG vaccine and TB prevention practices. As such, pregnant women play a vital role in ensuring timely, routine BCG vaccination for their newborns and adherence to TB prevention practices.
Objective: This study aims to develop, implement, and evaluate the impact of health education intervention using the information-motivation-behavioral (IMB) skills model to improve knowledge, attitudes, and self-efficacy regarding BCG uptake and TB prevention among pregnant women in Banadir Hospital.
Methods: This single-blind randomized controlled trial enrolled a sample of 370 pregnant women recruited at Banadir Hospital in Mogadishu, Somalia. Eligible participants will be randomized to an intervention group receiving an IMB-based health education and to a waiting list control group, in a 1:1 ratio. Outcome assessments will be conducted at baseline, 2-month follow-up, and 4-month follow-up. The primary outcomes are BCG vaccine uptake and TB prevention practices. Secondary outcomes include knowledge, attitudes, and self-efficacy related to the BCG vaccine and TB prevention practices. The IMB-based health education intervention program consists of 6 sessions, with 1 group per session, and with each session containing 30 participants. The effects of the intervention will be assessed by handing out the same self-administered questionnaires at baseline, 2-month postintervention, and 4-month postintervention.
Results: A total of 370 pregnant women were recruited at baseline in November 2021, with 185 assigned to the intervention group and 185 assigned to the control group. In January 2022, the 185 pregnant women enrolled in the intervention program and completed the sessions by February 2022. Data collection for the 2-month and 4-month postintervention assessments was completed in June 2022. The findings of this study will be reported by the beginning of 2026.
Conclusions: The developed health education intervention module in this study has the potential to be adopted and included as part of routine antenatal care services. Its implementation could effectively raise awareness among pregnant women in Somalia regarding the importance of BCG vaccination and TB prevention practices, ultimately mitigating childhood mortality rates associated with TB-disseminated diseases in the country.
{"title":"Effectiveness of a Theory-Based Intervention in Improving Bacillus Calmette-Guérin Uptake and Preventive Practices of Childhood Tuberculosis Among Pregnant Women: Protocol for a Randomized Control Trial.","authors":"Ahmed Mohamed Dirie, Nor Afiah Mohd Zulkefli, Salmiah Md Said, Ahmed Zaid Fatah Azman, Kassim Abdi Jimale, Osman Abubakar Fiidow","doi":"10.2196/68088","DOIUrl":"https://doi.org/10.2196/68088","url":null,"abstract":"<p><strong>Background: </strong>Tuberculosis (TB) in children is one of the most significant public health crises in Somalia. This issue is aggravated by the fact that only 36.7% of children aged 12 to 23 months receive the Bacillus Calmette-Guérin (BCG) vaccine in Somalia, which helps prevent TB-disseminated diseases. Among the major factors that contribute to poor BCG uptake and TB prevention practices are the lack of maternal knowledge, negative attitude, and poor self-efficacy toward the BCG vaccine and TB prevention practices. As such, pregnant women play a vital role in ensuring timely, routine BCG vaccination for their newborns and adherence to TB prevention practices.</p><p><strong>Objective: </strong>This study aims to develop, implement, and evaluate the impact of health education intervention using the information-motivation-behavioral (IMB) skills model to improve knowledge, attitudes, and self-efficacy regarding BCG uptake and TB prevention among pregnant women in Banadir Hospital.</p><p><strong>Methods: </strong>This single-blind randomized controlled trial enrolled a sample of 370 pregnant women recruited at Banadir Hospital in Mogadishu, Somalia. Eligible participants will be randomized to an intervention group receiving an IMB-based health education and to a waiting list control group, in a 1:1 ratio. Outcome assessments will be conducted at baseline, 2-month follow-up, and 4-month follow-up. The primary outcomes are BCG vaccine uptake and TB prevention practices. Secondary outcomes include knowledge, attitudes, and self-efficacy related to the BCG vaccine and TB prevention practices. The IMB-based health education intervention program consists of 6 sessions, with 1 group per session, and with each session containing 30 participants. The effects of the intervention will be assessed by handing out the same self-administered questionnaires at baseline, 2-month postintervention, and 4-month postintervention.</p><p><strong>Results: </strong>A total of 370 pregnant women were recruited at baseline in November 2021, with 185 assigned to the intervention group and 185 assigned to the control group. In January 2022, the 185 pregnant women enrolled in the intervention program and completed the sessions by February 2022. Data collection for the 2-month and 4-month postintervention assessments was completed in June 2022. The findings of this study will be reported by the beginning of 2026.</p><p><strong>Conclusions: </strong>The developed health education intervention module in this study has the potential to be adopted and included as part of routine antenatal care services. Its implementation could effectively raise awareness among pregnant women in Somalia regarding the importance of BCG vaccination and TB prevention practices, ultimately mitigating childhood mortality rates associated with TB-disseminated diseases in the country.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e68088"},"PeriodicalIF":1.5,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146149844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sérgio A Carvalho, Paulo Menezes, Catarina Duarte, David Skvarc, Ana Rita Sousa E Silva, Ana Valentim, João Emanuel Diogo, João Sargento-Freitas, Inês A Trindade, Paula Castilho, Teresa Lapa, Gerhard Andersson, Miguel Castelo-Branco
Background: Studies suggest that 40% to 65% of stroke survivors develop chronic poststroke pain (CPSP), which severely affects their quality of life and mental health. Empirical evidence suggests that existing treatments often fall short, underscoring the need for innovative, integrative interventions. Virtual reality (VR) seems to provide valuable tools in stroke rehabilitation. Also, contextual-behavioral psychological approaches, such as acceptance and commitment therapy (ACT), offer promising pain management and mental health resources, which seem to be feasible in VR formats. However, their combined application in CPSP remains unexplored.
Objective: This study protocol describes the VR-ACT study, which will test the feasibility and preliminary efficacy of an 8-week VR-ACT program for CPSP.
Methods: This pilot randomized controlled trial (N=30) will compare a VR-based ACT intervention with a sham VR control. The study will follow a mixed methods approach. Quantitative outcomes include pain intensity, psychological symptoms, and quality of life (via self-report measures), and brain network connectivity of the Triple Network (via functional magnetic resonance imaging). Feasibility will be evaluated through adherence, engagement, and acceptability. Qualitative feedback will be collected postintervention.
Results: This study was funded by the Portuguese Foundation for Science and Technology in February 2025. Data collection is expected to start in December 2025 and end in June 2026. Results are expected to be published in the fall/winter of 2026/2027.
Conclusions: This trial is expected to support the hypothesis that a VR-delivered ACT program is a feasible, acceptable, and potentially effective tool to support pain self-management and mental health in patients with CPSP, thereby laying the groundwork for larger multicenter trials.
{"title":"Virtual Reality to Improve Pain Management and Mental Health in Stroke Survivors With Chronic Pain: Study Protocol for a Feasibility Randomized Controlled Trial on Virtual Reality-Acceptance and Commitment Therapy.","authors":"Sérgio A Carvalho, Paulo Menezes, Catarina Duarte, David Skvarc, Ana Rita Sousa E Silva, Ana Valentim, João Emanuel Diogo, João Sargento-Freitas, Inês A Trindade, Paula Castilho, Teresa Lapa, Gerhard Andersson, Miguel Castelo-Branco","doi":"10.2196/80611","DOIUrl":"https://doi.org/10.2196/80611","url":null,"abstract":"<p><strong>Background: </strong>Studies suggest that 40% to 65% of stroke survivors develop chronic poststroke pain (CPSP), which severely affects their quality of life and mental health. Empirical evidence suggests that existing treatments often fall short, underscoring the need for innovative, integrative interventions. Virtual reality (VR) seems to provide valuable tools in stroke rehabilitation. Also, contextual-behavioral psychological approaches, such as acceptance and commitment therapy (ACT), offer promising pain management and mental health resources, which seem to be feasible in VR formats. However, their combined application in CPSP remains unexplored.</p><p><strong>Objective: </strong>This study protocol describes the VR-ACT study, which will test the feasibility and preliminary efficacy of an 8-week VR-ACT program for CPSP.</p><p><strong>Methods: </strong>This pilot randomized controlled trial (N=30) will compare a VR-based ACT intervention with a sham VR control. The study will follow a mixed methods approach. Quantitative outcomes include pain intensity, psychological symptoms, and quality of life (via self-report measures), and brain network connectivity of the Triple Network (via functional magnetic resonance imaging). Feasibility will be evaluated through adherence, engagement, and acceptability. Qualitative feedback will be collected postintervention.</p><p><strong>Results: </strong>This study was funded by the Portuguese Foundation for Science and Technology in February 2025. Data collection is expected to start in December 2025 and end in June 2026. Results are expected to be published in the fall/winter of 2026/2027.</p><p><strong>Conclusions: </strong>This trial is expected to support the hypothesis that a VR-delivered ACT program is a feasible, acceptable, and potentially effective tool to support pain self-management and mental health in patients with CPSP, thereby laying the groundwork for larger multicenter trials.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e80611"},"PeriodicalIF":1.5,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146131813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emma Stanmore, Amelia Parchment, Bolanle Odebiyi, Peter Bower, Chloe French, Chunhu Shi, Saima Bashir, Saima Ahmed, Dawn Dowding, Jo Dumville, Roman Kislov, Alex Thompson, Dawn A Skelton, Margaret Clarke, Chris Todd
Background: Falls are the primary cause of fatal and nonfatal accidental injuries in older adults. The World Falls Prevention Guidelines recommend balance-challenging, functional exercise programs as a key strategy for falls prevention, but access, uptake, and adherence to these programs in community settings remain suboptimal. Keep-On-Keep-Up (KOKU), a digital, National Health Service-approved program, was codeveloped with older adults and therapists to provide progressive, evidence-based exercises and to raise awareness of falls prevention strategies.
Objective: This trial aims to investigate the effectiveness and cost-effectiveness of the KOKU digital strength and balance program for improving balance, enhancing physical function, and reducing falls risk among community-dwelling older adults.
Methods: This is a 2-arm, parallel-group randomized controlled trial. A total of 196 community-dwelling older adults 60 years and older will be randomized to either the intervention group, comprising a digital strength and balance program (KOKU) alongside standard care (strength and balance exercise advice and a falls prevention leaflet), or to a control group, receiving standard care only. Participants receiving the intervention will be asked to exercise 3 times per week following the tailored and progressive program. Randomization will take place after recruitment and baseline data collection. The trial's primary outcome measure is balance function (Berg Balance Score) at 12 weeks post randomization. Secondary trial outcomes include lower limb strength, health care utilization and health-related quality of life, self-reported concerns about falling, self-reported physical activity, falls risk, pain, mood, fatigue, self-reported falls, and acceptability and usability of the KOKU program. Intention-to-treat analysis and a cost-effectiveness analysis will be employed for trial data analysis. Qualitative interviews and focus groups will be undertaken with around 10 care providers and 13 participants to further understand views of the intervention and trial processes.
Results: This study began recruitment in July 2024 and concluded in March 2025, recruiting a total of 202 participants (102 intervention group and 100 control group). Following protocol publication, data compilation and analysis will be conducted, with results anticipated to be published in 2027.
Conclusions: This trial will provide important evidence on whether a digital strength and balance program can improve balance and related outcomes in older adults compared with usual care.
{"title":"Effectiveness and Cost-Effectiveness of a Digital Falls Prevention Program Versus Usual Care to Improve Balance, Falls Risk, and Function in Older Adults: Protocol for the Keep-On-Keep-Up Randomized Controlled Trial.","authors":"Emma Stanmore, Amelia Parchment, Bolanle Odebiyi, Peter Bower, Chloe French, Chunhu Shi, Saima Bashir, Saima Ahmed, Dawn Dowding, Jo Dumville, Roman Kislov, Alex Thompson, Dawn A Skelton, Margaret Clarke, Chris Todd","doi":"10.2196/78840","DOIUrl":"10.2196/78840","url":null,"abstract":"<p><strong>Background: </strong>Falls are the primary cause of fatal and nonfatal accidental injuries in older adults. The World Falls Prevention Guidelines recommend balance-challenging, functional exercise programs as a key strategy for falls prevention, but access, uptake, and adherence to these programs in community settings remain suboptimal. Keep-On-Keep-Up (KOKU), a digital, National Health Service-approved program, was codeveloped with older adults and therapists to provide progressive, evidence-based exercises and to raise awareness of falls prevention strategies.</p><p><strong>Objective: </strong>This trial aims to investigate the effectiveness and cost-effectiveness of the KOKU digital strength and balance program for improving balance, enhancing physical function, and reducing falls risk among community-dwelling older adults.</p><p><strong>Methods: </strong>This is a 2-arm, parallel-group randomized controlled trial. A total of 196 community-dwelling older adults 60 years and older will be randomized to either the intervention group, comprising a digital strength and balance program (KOKU) alongside standard care (strength and balance exercise advice and a falls prevention leaflet), or to a control group, receiving standard care only. Participants receiving the intervention will be asked to exercise 3 times per week following the tailored and progressive program. Randomization will take place after recruitment and baseline data collection. The trial's primary outcome measure is balance function (Berg Balance Score) at 12 weeks post randomization. Secondary trial outcomes include lower limb strength, health care utilization and health-related quality of life, self-reported concerns about falling, self-reported physical activity, falls risk, pain, mood, fatigue, self-reported falls, and acceptability and usability of the KOKU program. Intention-to-treat analysis and a cost-effectiveness analysis will be employed for trial data analysis. Qualitative interviews and focus groups will be undertaken with around 10 care providers and 13 participants to further understand views of the intervention and trial processes.</p><p><strong>Results: </strong>This study began recruitment in July 2024 and concluded in March 2025, recruiting a total of 202 participants (102 intervention group and 100 control group). Following protocol publication, data compilation and analysis will be conducted, with results anticipated to be published in 2027.</p><p><strong>Conclusions: </strong>This trial will provide important evidence on whether a digital strength and balance program can improve balance and related outcomes in older adults compared with usual care.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e78840"},"PeriodicalIF":1.5,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12875423/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146124881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Knee osteoarthritis (KOA) is a prevalent degenerative joint disease that is characterized by joint pain, stiffness, and dysfunctional impairment, imposing a substantial medical burden annually. Tuina, a widely used noninvasive traditional Chinese medicine therapy commonly used for KOA, has been used for the management of this condition; however, its additive benefit to acupuncture remains unclear.
Objective: The objective of the study is to assess whether the effectiveness of acupuncture-combined Tuina is superior to that of acupuncture in the management of KOA.
Methods: This single-center, parallel-group, randomized controlled trial aims to enroll 60 patients with KOA, who will be randomly assigned to either a Tuina group (acupuncture-combined Tuina) or an acupuncture group (30 patients per group). Baseline assessments will include demographic and clinical evaluations: the visual analog scale from the short-form McGill Pain Questionnaire, pain threshold, muscle tension, 10-meter walking test, Western Ontario and McMaster Universities Osteoarthritis Index, and multimodal magnetic resonance imaging. Over a 6-week intervention, the Tuina group will receive Tuina on the basis of acupuncture, that is, acupuncture-combined Tuina, while the acupuncture group will undergo just acupuncture, with both groups continuing standard care as prescribed. Posttreatment, clinical outcomes and safety will be reassessed using baseline indicators. A 12-week follow-up will include all clinical evaluations. Assessments will be conducted by blinded assessors, and statistical analyses will be conducted by independent, blinded analysts. Outcomes will evaluate clinical pain and functional differences between groups and will elucidate the underlying cerebral mechanisms.
Results: This study was funded in August 2024. The experimental plan will begin on December 31, 2025, and end on May 4, 2027.
Conclusions: This trial aims to verify whether acupuncture-combined Tuina receives better efficacy than single acupuncture, as well as to explore the neuroimaging mechanisms that are clinically affected, thus providing scientific evidence for the treatment of clinical patients with KOA.
{"title":"Effects of Acupuncture-Combined Tuina on Patients With Knee Osteoarthritis: Protocol for a Randomized Controlled Trial.","authors":"Chendong Gu, Dong Wei, Kaiyue Zhang, Jinxi Ren, Yihui Qiao, Fengyu Zhang, Yiting Zhu, Zhixian Xu, Yinlong Cao, Shuyi Yao, Hanrui Guo, Yihang Wang, Huan Wang, Lin Wang, Quanliang Wang, Guangxin Guo","doi":"10.2196/84082","DOIUrl":"10.2196/84082","url":null,"abstract":"<p><strong>Background: </strong>Knee osteoarthritis (KOA) is a prevalent degenerative joint disease that is characterized by joint pain, stiffness, and dysfunctional impairment, imposing a substantial medical burden annually. Tuina, a widely used noninvasive traditional Chinese medicine therapy commonly used for KOA, has been used for the management of this condition; however, its additive benefit to acupuncture remains unclear.</p><p><strong>Objective: </strong>The objective of the study is to assess whether the effectiveness of acupuncture-combined Tuina is superior to that of acupuncture in the management of KOA.</p><p><strong>Methods: </strong>This single-center, parallel-group, randomized controlled trial aims to enroll 60 patients with KOA, who will be randomly assigned to either a Tuina group (acupuncture-combined Tuina) or an acupuncture group (30 patients per group). Baseline assessments will include demographic and clinical evaluations: the visual analog scale from the short-form McGill Pain Questionnaire, pain threshold, muscle tension, 10-meter walking test, Western Ontario and McMaster Universities Osteoarthritis Index, and multimodal magnetic resonance imaging. Over a 6-week intervention, the Tuina group will receive Tuina on the basis of acupuncture, that is, acupuncture-combined Tuina, while the acupuncture group will undergo just acupuncture, with both groups continuing standard care as prescribed. Posttreatment, clinical outcomes and safety will be reassessed using baseline indicators. A 12-week follow-up will include all clinical evaluations. Assessments will be conducted by blinded assessors, and statistical analyses will be conducted by independent, blinded analysts. Outcomes will evaluate clinical pain and functional differences between groups and will elucidate the underlying cerebral mechanisms.</p><p><strong>Results: </strong>This study was funded in August 2024. The experimental plan will begin on December 31, 2025, and end on May 4, 2027.</p><p><strong>Conclusions: </strong>This trial aims to verify whether acupuncture-combined Tuina receives better efficacy than single acupuncture, as well as to explore the neuroimaging mechanisms that are clinically affected, thus providing scientific evidence for the treatment of clinical patients with KOA.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e84082"},"PeriodicalIF":1.5,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12875422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146124873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Betania Groba, Patricia Concheiro-Moscoso, María Del Carmen Miranda-Duro, Manuel Lagos-Rodríguez, Javier Pereira, Laura Nieto-Riveiro
<p><strong>Background: </strong>Informal care is a social challenge that impacts the daily life and quality of life (QoL) of caregivers. While care has evidence of positive aspects, it can also have negative impacts on mental, physical, economic, and social well-being. Nowadays, health, social, and care systems for informal caregivers are needed, from a person-centered perspective, to promote their QoL, health, and empowerment. Technology is a promising tool to provide personalized services.</p><p><strong>Objective: </strong>This study aims to develop an innovative care-centered technology solution to enhance caregivers' QoL, care impact, occupational balance, health self-management, and empowerment.</p><p><strong>Methods: </strong>A mixed methods pilot trial was designed as a single-arm open-label study. Participants will be caregivers of people with disabilities or older people, recruited through direct care centers. Caregivers will engage in a participatory process of developing, testing, and validating the TechQoL4Carers project platform, CuidaconTIC; a web-based platform to improve their QoL, impact of care, occupational balance, health self-management, and empowerment. The development of this trial will refine the CuidaconTIC platform, which is based on person-centered development, participatory design techniques, and an iterative process. A total of 54 caregivers will participate in a 3-month intervention involving the use of the CuidaconTIC platform and the Xiaomi Smart Band 7 wristband. Standardized assessment tools (EQ-5D-5L, Care-Related Quality of Life, Zarit Burden Interview, Caregiver Strain Index, Occupational Balance Questionnaire-Spanish Version, Psychological Empowerment Instrument, and the System Usability Scale) and a self-designed tool (Satisfaction-Q) will be used at 3 time points to collect information about usability, satisfaction, and project variables. Continuous information will be obtained from the platform (My week-Q) and the wearable wristband (physical activity and sleep). An interview will be conducted to gain in-depth knowledge about participants' perspectives. This study was approved by the Ethics Committee for Research and Teaching of the Universidade da Coruña (2023_019) and registered on ClinicalTrials.gov. Participation will be entirely voluntary, with informed consent obtained from each participant. Detailed information sheets and informed consent forms will be provided. The data of the participants will be collected in a pseudonymized form. Once the study has been completed, any possibility of participant identification will be eliminated.</p><p><strong>Results: </strong>Financial support for this project was received on December 1, 2022. This protocol was submitted after data collection but before analysis. Data collection began in May 2024 and ended in March 2025. By October 2025, 62 participants had been recruited. We expect to publish our results in June 2026.</p><p><strong>Conclusions: </strong>This pr
背景:非正式照护是一项影响照护者日常生活和生活质量的社会挑战。虽然护理有积极方面的证据,但它也可能对精神、身体、经济和社会福祉产生负面影响。如今,从以人为本的角度出发,需要建立针对非正式照护者的卫生、社会和照护系统,以促进他们的生活质量、健康和赋权。技术是提供个性化服务的一个很有前途的工具。目的:本研究旨在开发一种创新的以照护为中心的技术解决方案,以提高照护者的生活质量、照护影响、职业平衡、健康自我管理和赋权。方法:采用混合方法的先导试验设计为单臂开放标签研究。参与者将是通过直接护理中心招募的残疾人或老年人的护理人员。护理人员将参与开发、测试和验证techqol4careers项目平台CuidaconTIC的参与性过程;一个基于网络的平台,以改善他们的生活质量、护理的影响、职业平衡、健康自我管理和赋权。该试验的发展将完善CuidaconTIC平台,该平台基于以人为本的发展、参与式设计技术和迭代过程。共有54名护理人员将参与为期3个月的干预,包括使用CuidaconTIC平台和小米Smart Band 7腕带。标准化评估工具(EQ-5D-5L,护理相关生活质量,Zarit负担访谈,照顾者压力指数,职业平衡问卷-西班牙语版,心理赋权工具和系统可用性量表)和自行设计的工具(满意度- q)将在3个时间点收集可用性,满意度和项目变量的信息。从平台(My week-Q)和可穿戴腕带(体力活动和睡眠)获取持续信息。将进行一次访谈,以深入了解参与者的观点。本研究已获得大学研究与教学伦理委员会Coruña(2023_019)批准,并在ClinicalTrials.gov上注册。参与将是完全自愿的,并获得每位参与者的知情同意。将提供详细的信息表和知情同意书。参加者的资料将以假名形式收集。一旦研究完成,任何识别参与者身份的可能性都将被消除。结果:项目于2022年12月1日获得资金支持。该方案是在数据收集之后、分析之前提交的。数据收集始于2024年5月,结束于2025年3月。到2025年10月,已经招募了62名参与者。我们预计将在2026年6月公布我们的结果。结论:该方案侧重于研究护理人员(主要是女性)生活质量的社会挑战,以及通过将人和护理放在中心位置的服务来缩小数字差距和促进包容。
{"title":"Enhancing Caregivers' Quality of Life Through a Web-Based Person-Centered Solution (TechQoL4Carers): Protocol for a Mixed Methods Pilot Trial.","authors":"Betania Groba, Patricia Concheiro-Moscoso, María Del Carmen Miranda-Duro, Manuel Lagos-Rodríguez, Javier Pereira, Laura Nieto-Riveiro","doi":"10.2196/86602","DOIUrl":"10.2196/86602","url":null,"abstract":"<p><strong>Background: </strong>Informal care is a social challenge that impacts the daily life and quality of life (QoL) of caregivers. While care has evidence of positive aspects, it can also have negative impacts on mental, physical, economic, and social well-being. Nowadays, health, social, and care systems for informal caregivers are needed, from a person-centered perspective, to promote their QoL, health, and empowerment. Technology is a promising tool to provide personalized services.</p><p><strong>Objective: </strong>This study aims to develop an innovative care-centered technology solution to enhance caregivers' QoL, care impact, occupational balance, health self-management, and empowerment.</p><p><strong>Methods: </strong>A mixed methods pilot trial was designed as a single-arm open-label study. Participants will be caregivers of people with disabilities or older people, recruited through direct care centers. Caregivers will engage in a participatory process of developing, testing, and validating the TechQoL4Carers project platform, CuidaconTIC; a web-based platform to improve their QoL, impact of care, occupational balance, health self-management, and empowerment. The development of this trial will refine the CuidaconTIC platform, which is based on person-centered development, participatory design techniques, and an iterative process. A total of 54 caregivers will participate in a 3-month intervention involving the use of the CuidaconTIC platform and the Xiaomi Smart Band 7 wristband. Standardized assessment tools (EQ-5D-5L, Care-Related Quality of Life, Zarit Burden Interview, Caregiver Strain Index, Occupational Balance Questionnaire-Spanish Version, Psychological Empowerment Instrument, and the System Usability Scale) and a self-designed tool (Satisfaction-Q) will be used at 3 time points to collect information about usability, satisfaction, and project variables. Continuous information will be obtained from the platform (My week-Q) and the wearable wristband (physical activity and sleep). An interview will be conducted to gain in-depth knowledge about participants' perspectives. This study was approved by the Ethics Committee for Research and Teaching of the Universidade da Coruña (2023_019) and registered on ClinicalTrials.gov. Participation will be entirely voluntary, with informed consent obtained from each participant. Detailed information sheets and informed consent forms will be provided. The data of the participants will be collected in a pseudonymized form. Once the study has been completed, any possibility of participant identification will be eliminated.</p><p><strong>Results: </strong>Financial support for this project was received on December 1, 2022. This protocol was submitted after data collection but before analysis. Data collection began in May 2024 and ended in March 2025. By October 2025, 62 participants had been recruited. We expect to publish our results in June 2026.</p><p><strong>Conclusions: </strong>This pr","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e86602"},"PeriodicalIF":1.5,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12875564/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146124878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Serious mental illnesses (SMIs) are associated with high relapse rates and limited access to continuous care, particularly in low-resource settings such as urban slums. Traditional clinical monitoring is constrained by accessibility and scalability challenges. Digital phenotyping, through passive smartphone data, offers a novel approach to predict relapse by capturing real-world behavioral changes.
Objective: This study aims to evaluate the feasibility and predictive value of smartphone-based digital phenotyping for detecting relapse in individuals with SMIs living in the Korail slum of Dhaka, Bangladesh.
Methods: This prospective 6-month cohort study will recruit 430 participants diagnosed with SMIs who own Android (Google LLC) smartphones. Passive data (eg, screen time, mobility, and call or text frequency) will be continuously collected using a custom-built app (DataDoc). Monthly active data, including symptom and functioning assessments, will be collected via self-report and clinical engagement. Machine learning models will integrate these data to detect early warning signs and predict relapse trajectories.
Results: This study was funded by the NIHR (National Institute for Health and Care Research; award number NIHR200846) in October 2022. Data collection commenced in August 2025 and is ongoing. A total of 14 participants have been recruited, as of January 2026. Preliminary data analysis is ongoing, with expected results to be published in fall 2026.
Conclusions: This study is one of the first to apply smartphone-based digital phenotyping and machine learning for relapse prediction in low- and middle-income countries' slum settings. The findings will inform scalable, low-cost digital interventions to address the mental health treatment gap in underresourced communities.
{"title":"Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study.","authors":"Nadia Alam, Chayon Kumar Das, Neelabja Roy, Domenico Giacco, Swaran P Singh, Sagar Jilka","doi":"10.2196/79826","DOIUrl":"10.2196/79826","url":null,"abstract":"<p><strong>Background: </strong>Serious mental illnesses (SMIs) are associated with high relapse rates and limited access to continuous care, particularly in low-resource settings such as urban slums. Traditional clinical monitoring is constrained by accessibility and scalability challenges. Digital phenotyping, through passive smartphone data, offers a novel approach to predict relapse by capturing real-world behavioral changes.</p><p><strong>Objective: </strong>This study aims to evaluate the feasibility and predictive value of smartphone-based digital phenotyping for detecting relapse in individuals with SMIs living in the Korail slum of Dhaka, Bangladesh.</p><p><strong>Methods: </strong>This prospective 6-month cohort study will recruit 430 participants diagnosed with SMIs who own Android (Google LLC) smartphones. Passive data (eg, screen time, mobility, and call or text frequency) will be continuously collected using a custom-built app (DataDoc). Monthly active data, including symptom and functioning assessments, will be collected via self-report and clinical engagement. Machine learning models will integrate these data to detect early warning signs and predict relapse trajectories.</p><p><strong>Results: </strong>This study was funded by the NIHR (National Institute for Health and Care Research; award number NIHR200846) in October 2022. Data collection commenced in August 2025 and is ongoing. A total of 14 participants have been recruited, as of January 2026. Preliminary data analysis is ongoing, with expected results to be published in fall 2026.</p><p><strong>Conclusions: </strong>This study is one of the first to apply smartphone-based digital phenotyping and machine learning for relapse prediction in low- and middle-income countries' slum settings. The findings will inform scalable, low-cost digital interventions to address the mental health treatment gap in underresourced communities.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e79826"},"PeriodicalIF":1.5,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12872212/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146119075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Donald William Golden, Jonathan L Low, Julia T Daun, C Allyson Jones, Liz Dennett, Susan Nicole Culos-Reed, Ranita Harpreet Kaur Manocha
Background: Although physical activity (PA) participation has known health benefits, many individuals with hypermobility spectrum disorders (HSD) and hypermobile Ehlers-Danlos syndrome (hEDS) have difficulties participating in PA. HSD/hEDS affect approximately 1 in 500 people and are more prevalent in females. HSD/hEDS may result in frequent joint injuries, chronic pain, and generalized fatigue. These symptoms, and a fear of new or reinjury, may result in barriers to PA participation. Overall, there is limited research on PA in this population. Previous exercise reviews have not included structured PA such as sports and occupational activities; unstructured PA such as play, household, or leisure activities; or younger ages, including children. Additionally, some females with HSD/hEDS report experiencing more frequent joint injuries and worsening pain and fatigue during times of hormonal transitions, such as puberty, pregnancy, as well as cyclically across the menstrual cycle. Some females also report improvements in symptoms and a reduction in injury frequency following menopause. The impacts of PA during these times of changing hormone levels for females living with HSD/hEDS are uncertain. A clear understanding of what types of structured and unstructured PA are safe and helpful for individuals of all ages with HSD/hEDS, and if PA should be adapted during times of female hormonal changes, is lacking.
Objective: We propose a scoping review protocol to map and synthesize the evidence regarding considerations that may impact structured and unstructured PA participation in HSD/hEDS for individuals of all ages and during times of female hormonal transitions.
Methods: A scoping review will be conducted using Covidence (Veritas Health Innovation Ltd) and Microsoft Excel (Microsoft Corp) to map the evidence regarding the impacts of PA on safety, physical health, and quality of life. These outcomes will be assessed using the World Health Organization International Classification of Functioning, Disability and Health framework.
Results: The database search was performed on August 22, 2024, and updated on September 8, 2025. Data extraction started in September 2025 and is ongoing. The results are expected to be published by August 2026.
Conclusions: This proposed scoping review will aid in defining critical research directions regarding PA in HSD/hEDS, which may help inform guidelines outlining the risks and benefits of structured and unstructured PA. This review will also help define existing evidence for age-specific and hormone-related considerations regarding the impacts of PA in this population. This is particularly important as PA may help ameliorate the physical and mental symptoms associated with HSD/hEDS and may improve quality of life for these individuals across the lifespan.
{"title":"Safety and Impacts of Physical Activity for Individuals Living With Hypermobility Spectrum Disorders and Hypermobile Ehlers-Danlos Syndrome: Protocol for a Scoping Review.","authors":"Donald William Golden, Jonathan L Low, Julia T Daun, C Allyson Jones, Liz Dennett, Susan Nicole Culos-Reed, Ranita Harpreet Kaur Manocha","doi":"10.2196/80394","DOIUrl":"10.2196/80394","url":null,"abstract":"<p><strong>Background: </strong>Although physical activity (PA) participation has known health benefits, many individuals with hypermobility spectrum disorders (HSD) and hypermobile Ehlers-Danlos syndrome (hEDS) have difficulties participating in PA. HSD/hEDS affect approximately 1 in 500 people and are more prevalent in females. HSD/hEDS may result in frequent joint injuries, chronic pain, and generalized fatigue. These symptoms, and a fear of new or reinjury, may result in barriers to PA participation. Overall, there is limited research on PA in this population. Previous exercise reviews have not included structured PA such as sports and occupational activities; unstructured PA such as play, household, or leisure activities; or younger ages, including children. Additionally, some females with HSD/hEDS report experiencing more frequent joint injuries and worsening pain and fatigue during times of hormonal transitions, such as puberty, pregnancy, as well as cyclically across the menstrual cycle. Some females also report improvements in symptoms and a reduction in injury frequency following menopause. The impacts of PA during these times of changing hormone levels for females living with HSD/hEDS are uncertain. A clear understanding of what types of structured and unstructured PA are safe and helpful for individuals of all ages with HSD/hEDS, and if PA should be adapted during times of female hormonal changes, is lacking.</p><p><strong>Objective: </strong>We propose a scoping review protocol to map and synthesize the evidence regarding considerations that may impact structured and unstructured PA participation in HSD/hEDS for individuals of all ages and during times of female hormonal transitions.</p><p><strong>Methods: </strong>A scoping review will be conducted using Covidence (Veritas Health Innovation Ltd) and Microsoft Excel (Microsoft Corp) to map the evidence regarding the impacts of PA on safety, physical health, and quality of life. These outcomes will be assessed using the World Health Organization International Classification of Functioning, Disability and Health framework.</p><p><strong>Results: </strong>The database search was performed on August 22, 2024, and updated on September 8, 2025. Data extraction started in September 2025 and is ongoing. The results are expected to be published by August 2026.</p><p><strong>Conclusions: </strong>This proposed scoping review will aid in defining critical research directions regarding PA in HSD/hEDS, which may help inform guidelines outlining the risks and benefits of structured and unstructured PA. This review will also help define existing evidence for age-specific and hormone-related considerations regarding the impacts of PA in this population. This is particularly important as PA may help ameliorate the physical and mental symptoms associated with HSD/hEDS and may improve quality of life for these individuals across the lifespan.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e80394"},"PeriodicalIF":1.5,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12872041/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146119104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pooja Rani, Sumit Kalra, Sachin Singh, Richard David, Ashutosh Ravi Gupta, Anandaraman P V
<p><strong>Background: </strong>Therapeutic emesis (TE), known as vamana karma, is a classical method of detoxification performed to eliminate vitiated kapha (bio-humor governing fluid regulation and structural cohesion of the body in normalcy) ailments from the body. The assessment of this complete process depends on physicians' visual assessments of vomitus features and patient responses, introducing subjectivity and interobserver variability. Moreover, this method requires more than continuous monitoring; thus, it can sometimes lead to human error, resulting in missed expelled content or complications. We propose an artificial intelligence (AI) model to monitor TE to observe visual changes (ie, patient vomitus content and gestures) to provide better clinical outcomes. This approach is being explored for the first time in the traditional system of medicine.</p><p><strong>Objective: </strong>This study aims to develop and validate an AI-assisted digital framework for the objective evaluation of TE via (1) automatic vomitus detection, (2) content classification, (3) number of bouts expelled, (4) facial expressions and individual gestures, (5) determination of detoxification type, and (6) provision of a postpurificatory dietary regimen after completion.</p><p><strong>Methods: </strong>The study will be conducted in 3 phases. The first is the preparation of standard operating procedure for TE data collection. The second is data annotation of detected vomiting events. All analyses will be conducted using Python libraries, including scikit-learn (version 1.3.2; developed by the scikit-learn contributors, Python Software Foundation), TensorFlow (version 2.14.0; Google Brain Team, Google LLC), and tools supported under Google Summer of Code 2023 (Google LLC), along with SPSS Statistics (version 26.0; IBM Corp) for statistical analysis. In the third phase, model performance will be evaluated using standard machine learning metrics, and agreement with expert assessments will be measured using the Fleiss κ statistic. This study is exploratory in nature. Thus, 50 volunteers will be targeted.</p><p><strong>Results: </strong>This is the first study of its kind, so to create the dataset, we prepared a standard operating procedure for TE event data collection. Data collection was completed in December 2025. Data annotation and preliminary model preparation are ongoing, with final testing and validation expected to be completed by December 2025. External testing in the health care setting is expected to be completed by February 2026.</p><p><strong>Conclusions: </strong>This work presents one of the first attempts to apply deep learning for objective analysis of the TE process in Ayurveda. By combining YOLOv9 for vomit detection and residual neural network for classification, the framework achieves promising accuracy in automated vomit identification. The results will demonstrate the potential of AI-assisted analysis in traditional medicine, although further cli
背景:治疗性呕吐(TE),被称为“因果报应”(vamana karma),是一种经典的排毒方法,用于消除体内被破坏的卡法(正常情况下控制体液调节和身体结构凝聚力的生物幽默)疾病。这一完整过程的评估取决于医生对呕吐物特征和患者反应的视觉评估,引入了主观性和观察者之间的可变性。此外,这种方法需要的不仅仅是持续监测;因此,它有时会导致人为错误,导致遗漏的驱逐内容或并发症。我们提出了一种人工智能(AI)模型来监测TE,以观察视觉变化(即患者呕吐物内容和手势),以提供更好的临床结果。这种方法首次在传统医学体系中得到探索。目的:本研究旨在通过(1)自动呕吐物检测,(2)内容分类,(3)驱逐次数,(4)面部表情和个人手势,(5)确定排毒类型,(6)完成后提供净化后饮食方案,开发并验证人工智能辅助的数字框架,以客观评估TE。方法:本研究分三期进行。首先是制定TE数据收集的标准操作程序。二是对检测到的呕吐事件进行数据标注。所有分析都将使用Python库进行,包括scikit-learn(1.3.2版本,由scikit-learn贡献者Python软件基金会开发)、TensorFlow(2.14.0版本,谷歌Brain Team,谷歌LLC)和谷歌Summer of Code 2023(谷歌LLC)支持的工具,以及SPSS Statistics(26.0版本,IBM公司)用于统计分析。在第三阶段,将使用标准机器学习指标评估模型性能,并使用Fleiss κ统计量衡量与专家评估的一致性。这项研究是探索性的。因此,50名志愿者将成为目标。结果:这是同类研究中的第一次,因此为了创建数据集,我们准备了一个标准的TE事件数据收集操作程序。数据收集工作于2025年12月完成。数据注释和初步模型准备正在进行中,最终测试和验证预计将于2025年12月完成。卫生保健机构的外部检测预计将于2026年2月完成。结论:这项工作提出了将深度学习应用于阿育吠陀TE过程客观分析的第一次尝试之一。该框架结合YOLOv9进行呕吐物检测和残差神经网络进行分类,在呕吐物自动识别方面取得了良好的准确性。结果将证明人工智能辅助分析在传统医学中的潜力,尽管在实际环境中部署之前,需要进一步的临床验证和跨多个中心的扩展。
{"title":"Using AI Algorithms and Machine Learning in the Analysis of a Bio-Purification Method (Therapeutic Emesis, Known as \"Vamana Karma\"): Protocol for a Mixed Methods Study.","authors":"Pooja Rani, Sumit Kalra, Sachin Singh, Richard David, Ashutosh Ravi Gupta, Anandaraman P V","doi":"10.2196/79875","DOIUrl":"10.2196/79875","url":null,"abstract":"<p><strong>Background: </strong>Therapeutic emesis (TE), known as vamana karma, is a classical method of detoxification performed to eliminate vitiated kapha (bio-humor governing fluid regulation and structural cohesion of the body in normalcy) ailments from the body. The assessment of this complete process depends on physicians' visual assessments of vomitus features and patient responses, introducing subjectivity and interobserver variability. Moreover, this method requires more than continuous monitoring; thus, it can sometimes lead to human error, resulting in missed expelled content or complications. We propose an artificial intelligence (AI) model to monitor TE to observe visual changes (ie, patient vomitus content and gestures) to provide better clinical outcomes. This approach is being explored for the first time in the traditional system of medicine.</p><p><strong>Objective: </strong>This study aims to develop and validate an AI-assisted digital framework for the objective evaluation of TE via (1) automatic vomitus detection, (2) content classification, (3) number of bouts expelled, (4) facial expressions and individual gestures, (5) determination of detoxification type, and (6) provision of a postpurificatory dietary regimen after completion.</p><p><strong>Methods: </strong>The study will be conducted in 3 phases. The first is the preparation of standard operating procedure for TE data collection. The second is data annotation of detected vomiting events. All analyses will be conducted using Python libraries, including scikit-learn (version 1.3.2; developed by the scikit-learn contributors, Python Software Foundation), TensorFlow (version 2.14.0; Google Brain Team, Google LLC), and tools supported under Google Summer of Code 2023 (Google LLC), along with SPSS Statistics (version 26.0; IBM Corp) for statistical analysis. In the third phase, model performance will be evaluated using standard machine learning metrics, and agreement with expert assessments will be measured using the Fleiss κ statistic. This study is exploratory in nature. Thus, 50 volunteers will be targeted.</p><p><strong>Results: </strong>This is the first study of its kind, so to create the dataset, we prepared a standard operating procedure for TE event data collection. Data collection was completed in December 2025. Data annotation and preliminary model preparation are ongoing, with final testing and validation expected to be completed by December 2025. External testing in the health care setting is expected to be completed by February 2026.</p><p><strong>Conclusions: </strong>This work presents one of the first attempts to apply deep learning for objective analysis of the TE process in Ayurveda. By combining YOLOv9 for vomit detection and residual neural network for classification, the framework achieves promising accuracy in automated vomit identification. The results will demonstrate the potential of AI-assisted analysis in traditional medicine, although further cli","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e79875"},"PeriodicalIF":1.5,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12867470/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146113014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Endoscopic retrograde cholangiopancreatography (ERCP) is crucial for managing pediatric hepatobiliary diseases but frequently results in postoperative gastrointestinal dysfunction such as delayed flatus and defecation, which can prolong recovery and increase the risk of complications. Nonpharmacological interventions such as acupoint massage and mirabilite application offer potential benefits, but evidence for their efficacy and synergy in children after ERCP is lacking.
Objective: This study aims to evaluate the individual and combined effects of acupoint massage and abdominal mirabilite application on accelerating gastrointestinal recovery in pediatric patients following ERCP.
Methods: A single-center, single-blind, randomized controlled trial will be conducted involving 72 children aged between 2 and 12 years who have undergone ERCP. Participants will be randomly allocated to 1 of the 4 groups: acupoint massage group (stimulating ST-36, ST-25, CV-12, and PC-6 for 2 minutes per point; twice daily), mirabilite group (abdominal application for 1 hour; twice daily), combination group (both interventions; at least 1 hour apart), or conventional care group. The primary outcome is the time to first postoperative flatus and defecation. The secondary outcomes include the frequency of postoperative nausea and vomiting and inflammatory markers. Data will be analyzed using intention-to-treat analysis with SPSS, using ANOVA, chi-square, and nonparametric tests as appropriate.
Results: This trial is currently in progress, having received funding in January 2023 and July 2023. Participant recruitment commenced on November 1, 2024, with an anticipated completion date of October 30, 2026. As of January 2026, a total of 38 pediatric patients have been enrolled and randomized, while data collection and intervention delivery are ongoing. No interim analysis has been conducted. The final analysis will begin after recruitment and follow-up are complete, with primary results expected to be published in the second half of 2026.
Conclusions: This study is the first to rigorously assess the efficacy and potential synergistic effects of acupoint massage and mirabilite application for enhancing gastrointestinal recovery after pediatric ERCP. Positive findings could establish a safe, nonpharmacological protocol to improve postoperative outcomes, reduce hospital stays, and minimize complications in this vulnerable population.
Trial registration: International Traditional Medicine Clinical Trial Registry ITMCTR2025000670; https://itmctr.ccebtcm.org.cn/mgt/project/view/3385640124071694411.
International registered report identifier (irrid): DERR1-10.2196/87961.
{"title":"Combined Acupoint Massage and Abdominal Mirabilite Application for Accelerating Gastrointestinal Recovery in Pediatric Patients After Endoscopic Retrograde Cholangiopancreatography: Protocol for a Randomized Controlled Trial.","authors":"Xiaowei Pu, Shan Wang, Chen Cui, Libing Liang, Qunsong Shen, Wei Luan, Caiqin Wu","doi":"10.2196/87961","DOIUrl":"https://doi.org/10.2196/87961","url":null,"abstract":"<p><strong>Background: </strong>Endoscopic retrograde cholangiopancreatography (ERCP) is crucial for managing pediatric hepatobiliary diseases but frequently results in postoperative gastrointestinal dysfunction such as delayed flatus and defecation, which can prolong recovery and increase the risk of complications. Nonpharmacological interventions such as acupoint massage and mirabilite application offer potential benefits, but evidence for their efficacy and synergy in children after ERCP is lacking.</p><p><strong>Objective: </strong>This study aims to evaluate the individual and combined effects of acupoint massage and abdominal mirabilite application on accelerating gastrointestinal recovery in pediatric patients following ERCP.</p><p><strong>Methods: </strong>A single-center, single-blind, randomized controlled trial will be conducted involving 72 children aged between 2 and 12 years who have undergone ERCP. Participants will be randomly allocated to 1 of the 4 groups: acupoint massage group (stimulating ST-36, ST-25, CV-12, and PC-6 for 2 minutes per point; twice daily), mirabilite group (abdominal application for 1 hour; twice daily), combination group (both interventions; at least 1 hour apart), or conventional care group. The primary outcome is the time to first postoperative flatus and defecation. The secondary outcomes include the frequency of postoperative nausea and vomiting and inflammatory markers. Data will be analyzed using intention-to-treat analysis with SPSS, using ANOVA, chi-square, and nonparametric tests as appropriate.</p><p><strong>Results: </strong>This trial is currently in progress, having received funding in January 2023 and July 2023. Participant recruitment commenced on November 1, 2024, with an anticipated completion date of October 30, 2026. As of January 2026, a total of 38 pediatric patients have been enrolled and randomized, while data collection and intervention delivery are ongoing. No interim analysis has been conducted. The final analysis will begin after recruitment and follow-up are complete, with primary results expected to be published in the second half of 2026.</p><p><strong>Conclusions: </strong>This study is the first to rigorously assess the efficacy and potential synergistic effects of acupoint massage and mirabilite application for enhancing gastrointestinal recovery after pediatric ERCP. Positive findings could establish a safe, nonpharmacological protocol to improve postoperative outcomes, reduce hospital stays, and minimize complications in this vulnerable population.</p><p><strong>Trial registration: </strong>International Traditional Medicine Clinical Trial Registry ITMCTR2025000670; https://itmctr.ccebtcm.org.cn/mgt/project/view/3385640124071694411.</p><p><strong>International registered report identifier (irrid): </strong>DERR1-10.2196/87961.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e87961"},"PeriodicalIF":1.5,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146112980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
James M Mather, Nicholas Sculthorpe, Ethan Berry, Jacqueline Mair, Nilihan Sanal-Hayes, Lawrence D Hayes
<p><strong>Background: </strong>Mobile health (mHealth), leveraging mobile devices for health measurement and promotion, is rapidly growing. Smartphone cameras can perform photoplethysmography (PPG) to estimate pulse rate (PR) and other features of the cardiac cycle. However, establishing the validity of PR-PPG is essential before it can be adopted for health care applications. There is a pervasive belief that PR-PPG is analogous to heart rate (HR) derived from electrocardiograms (ECGs), and we will conduct a systematic review and meta-analysis to support or challenge this supposition.</p><p><strong>Objective: </strong>This study aims to synthesize quantitative evidence on the validity of PPG derived from mobile devices (ie, smartphones) for the assessment of HR compared with the gold standard ECG assessment.</p><p><strong>Methods: </strong>A comprehensive literature search will be performed on CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus using a predefined search strategy. All retrieved citations will be imported into Rayyan for screening and data management. A minimum of 2 independent reviewers will conduct the title and abstract screening, followed by 2 independent reviewers who will perform full-text screening and data extraction. All stages will be guided by predefined inclusion and exclusion criteria, which will be pilot-tested to ensure consistency and reliability. Any discrepancies will be resolved through discussion with a third reviewer or during a research team meeting. Intrarater reliability will be quantified at the title and abstract stage and the full-text review stage using Cohen κ. To ensure clarity and consistency in the presentation of study characteristics and findings, both narrative synthesis and tabular formats will be used. This review will include studies that report the association and agreement between resting HR and PR from PPG using contact-based smartphone devices versus ECG as the gold standard. PPG signals will be obtained using a contact-based approach, defined as finger-on-camera measurements with the smartphone's built-in camera and flash. Studies will be excluded if they (1) do not use PPG using contact-based smartphone devices, (2) compare PPG to another collection method other than ECG, or (3) are review articles or case studies.</p><p><strong>Results: </strong>To inform clinical procedures and future studies, the results will contain data on PR-PPG and HR-ECG association (correlations) and agreement (Bland-Altman analysis), sampling devices, and operating systems. This project is unfunded, and the initial screening is expected to start in the first quarter of 2026, with results anticipated to be published in the first quarter of 2027. The projected timeline for the study includes title and abstract screening from the first quarter of 2026, followed by full-text screening in the second quarter of 2026. Results are anticipated by the third quarter of 2026, with publication expected in the first quarter
{"title":"Association and Agreement of Contact-Based Smartphone Photoplethysmography Compared With Electrocardiography: Protocol for a Systematic Review and Meta-Analysis.","authors":"James M Mather, Nicholas Sculthorpe, Ethan Berry, Jacqueline Mair, Nilihan Sanal-Hayes, Lawrence D Hayes","doi":"10.2196/84837","DOIUrl":"10.2196/84837","url":null,"abstract":"<p><strong>Background: </strong>Mobile health (mHealth), leveraging mobile devices for health measurement and promotion, is rapidly growing. Smartphone cameras can perform photoplethysmography (PPG) to estimate pulse rate (PR) and other features of the cardiac cycle. However, establishing the validity of PR-PPG is essential before it can be adopted for health care applications. There is a pervasive belief that PR-PPG is analogous to heart rate (HR) derived from electrocardiograms (ECGs), and we will conduct a systematic review and meta-analysis to support or challenge this supposition.</p><p><strong>Objective: </strong>This study aims to synthesize quantitative evidence on the validity of PPG derived from mobile devices (ie, smartphones) for the assessment of HR compared with the gold standard ECG assessment.</p><p><strong>Methods: </strong>A comprehensive literature search will be performed on CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus using a predefined search strategy. All retrieved citations will be imported into Rayyan for screening and data management. A minimum of 2 independent reviewers will conduct the title and abstract screening, followed by 2 independent reviewers who will perform full-text screening and data extraction. All stages will be guided by predefined inclusion and exclusion criteria, which will be pilot-tested to ensure consistency and reliability. Any discrepancies will be resolved through discussion with a third reviewer or during a research team meeting. Intrarater reliability will be quantified at the title and abstract stage and the full-text review stage using Cohen κ. To ensure clarity and consistency in the presentation of study characteristics and findings, both narrative synthesis and tabular formats will be used. This review will include studies that report the association and agreement between resting HR and PR from PPG using contact-based smartphone devices versus ECG as the gold standard. PPG signals will be obtained using a contact-based approach, defined as finger-on-camera measurements with the smartphone's built-in camera and flash. Studies will be excluded if they (1) do not use PPG using contact-based smartphone devices, (2) compare PPG to another collection method other than ECG, or (3) are review articles or case studies.</p><p><strong>Results: </strong>To inform clinical procedures and future studies, the results will contain data on PR-PPG and HR-ECG association (correlations) and agreement (Bland-Altman analysis), sampling devices, and operating systems. This project is unfunded, and the initial screening is expected to start in the first quarter of 2026, with results anticipated to be published in the first quarter of 2027. The projected timeline for the study includes title and abstract screening from the first quarter of 2026, followed by full-text screening in the second quarter of 2026. Results are anticipated by the third quarter of 2026, with publication expected in the first quarter ","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e84837"},"PeriodicalIF":1.5,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12867510/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146112859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}