Jo-Fan Pan, Dawn Dowding, David Wong, Ashley Scott, Qimeng Zhao
Background: Delayed recognition of patient deterioration in a non-intensive care unit (ICU) setting contributes to serious adverse events. Continuous monitoring devices with alerting systems offer real-time data to support early detection, but their effectiveness depends on usability. While prior reviews focus on clinical outcomes, usability-defined by effectiveness, efficiency, and satisfaction-remains underexplored.
Objective: This study aims to scope the evidence related to the usability of continuous monitoring devices with deterioration alerting in noncritical adult care units.
Methods: A scoping review was conducted following the Joanna Briggs Institute methodology and reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A comprehensive search of MEDLINE, Embase, Emcare, Web of Science, and IEEE Xplore was performed for studies published up to November 2024. Title and abstract screening, full-text review, and data extraction were independently conducted by 2 reviewers. Studies were included if they (1) evaluated the usability-defined as effectiveness, efficiency, or satisfaction-of continuous monitoring devices; (2) focused on adult patients in non-ICU hospital settings; (3) used primary data; (4) were published in English; and (5) described how clinicians received alerts.
Results: The search identified 1284 papers, with 35 included. Most studies focused on postoperative patients in surgical wards, mainly from the United States and the Netherlands. Only 2 studies used mixed methods, and 10 reported clinician characteristics. While effectiveness (71%) and efficiency (74%) were widely studied, satisfaction (46%) and usability barriers (29%) received less attention.
Conclusions: Continuous monitoring devices with deterioration alerts may reduce rapid response team calls and ICU transfers, save time, and maintain acceptable alarm frequencies with high user satisfaction. However, usability challenges persist, including technical issues, alarm fatigue, patient discomfort, and limited training or workflow integration. This review mapped current use, usability, and barriers, categorized key usability factors for improvement, and identified the need for further research on clinician perspectives and broader health care settings to enhance generalizability.
背景:非重症监护病房(ICU)患者病情恶化的延迟识别会导致严重的不良事件。带有警报系统的连续监测设备提供实时数据以支持早期检测,但其有效性取决于可用性。虽然先前的审查侧重于临床结果,但可用性(由有效性、效率和满意度定义)仍未得到充分探讨。目的:本研究旨在扩大与非关键成人护理单元中带有恶化警报的连续监测装置的可用性相关的证据。方法:根据Joanna Briggs研究所的方法进行范围评价,并按照PRISMA-ScR(范围评价的系统评价和元分析扩展首选报告项目)指南进行报告。对MEDLINE, Embase, Emcare, Web of Science和IEEE explore进行了全面搜索,以获取截至2024年11月发表的研究。题目和摘要筛选、全文审查和数据提取由2名审稿人独立完成。如果研究(1)评估了连续监测设备的可用性(定义为有效性、效率或满意度),则纳入研究;(2)以非icu医院的成人患者为研究对象;(3)使用原始数据;(四)以英文出版;(5)描述了临床医生如何接收警报。结果:检索到1284篇论文,其中35篇被收录。大多数研究集中在外科病房的术后患者,主要来自美国和荷兰。只有2项研究使用了混合方法,10项研究报告了临床特征。虽然有效性(71%)和效率(74%)被广泛研究,但满意度(46%)和可用性障碍(29%)受到的关注较少。结论:带有恶化警报的连续监测设备可以减少快速反应小组呼叫和ICU转移,节省时间,并保持可接受的警报频率,用户满意度高。然而,可用性挑战仍然存在,包括技术问题、报警疲劳、患者不适以及有限的培训或工作流集成。这篇综述描绘了当前的使用、可用性和障碍,分类了需要改进的关键可用性因素,并确定了需要从临床医生的角度和更广泛的卫生保健环境进行进一步研究,以提高普遍性。
{"title":"The Usability of Continuous Monitoring Devices With Deterioration Alerting Systems in Noncritical Care Units: Scoping Review.","authors":"Jo-Fan Pan, Dawn Dowding, David Wong, Ashley Scott, Qimeng Zhao","doi":"10.2196/75713","DOIUrl":"https://doi.org/10.2196/75713","url":null,"abstract":"<p><strong>Background: </strong>Delayed recognition of patient deterioration in a non-intensive care unit (ICU) setting contributes to serious adverse events. Continuous monitoring devices with alerting systems offer real-time data to support early detection, but their effectiveness depends on usability. While prior reviews focus on clinical outcomes, usability-defined by effectiveness, efficiency, and satisfaction-remains underexplored.</p><p><strong>Objective: </strong>This study aims to scope the evidence related to the usability of continuous monitoring devices with deterioration alerting in noncritical adult care units.</p><p><strong>Methods: </strong>A scoping review was conducted following the Joanna Briggs Institute methodology and reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A comprehensive search of MEDLINE, Embase, Emcare, Web of Science, and IEEE Xplore was performed for studies published up to November 2024. Title and abstract screening, full-text review, and data extraction were independently conducted by 2 reviewers. Studies were included if they (1) evaluated the usability-defined as effectiveness, efficiency, or satisfaction-of continuous monitoring devices; (2) focused on adult patients in non-ICU hospital settings; (3) used primary data; (4) were published in English; and (5) described how clinicians received alerts.</p><p><strong>Results: </strong>The search identified 1284 papers, with 35 included. Most studies focused on postoperative patients in surgical wards, mainly from the United States and the Netherlands. Only 2 studies used mixed methods, and 10 reported clinician characteristics. While effectiveness (71%) and efficiency (74%) were widely studied, satisfaction (46%) and usability barriers (29%) received less attention.</p><p><strong>Conclusions: </strong>Continuous monitoring devices with deterioration alerts may reduce rapid response team calls and ICU transfers, save time, and maintain acceptable alarm frequencies with high user satisfaction. However, usability challenges persist, including technical issues, alarm fatigue, patient discomfort, and limited training or workflow integration. This review mapped current use, usability, and barriers, categorized key usability factors for improvement, and identified the need for further research on clinician perspectives and broader health care settings to enhance generalizability.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e75713"},"PeriodicalIF":1.9,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159080","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}
Erin Kaser, Vedin Barve, Alexander Blaschke, Constance Fry, Corey Waldman, Sarah Hackman, William Kelly
Unlabelled: Choroidal metastases (CM) represent a rare but clinically significant manifestation of systemic malignancy, most frequently from lung cancer., The choroid's vascular anatomy allows hematogenous tumor seeding. Although CM may be the first clinical sign of an underlying malignancy, evidence guiding its management in the modern immunotherapy era remains limited, as most published cases predate the widespread use of immune checkpoint-inhibitors., We describe a 33-year-old male patient presenting with ocular pain and visual disturbance, who was found to have an amelanotic choroidal lesion. Systemic workup revealed small pulmonary nodules and an iliac crest lesion. Sequential biopsies suggested that this was metastatic adenocarcinoma of unknown primary origin, but most likely of lung origin, without actionable mutations or PD-L1 (programmed death-ligand 1) expression. Management required multidisciplinary coordination and included carboplatin, paclitaxel, and pembrolizumab, followed by radiation to the orbit, iliac crest, and mediastinal sites of disease. Unfortunately, he experienced progression while on maintenance immunotherapy with new rib and brain lesions, for which he underwent treatment with platinum, pemetrexed, and bevacizumab with additional radiotherapy. Despite loss of vision in the affected eye, he achieved durable disease control and remains free of radiographic recurrent disease>4 years after diagnosis., This case illustrates that multimodality salvage strategies-integrating systemic therapy with aggressive local radiation-can provide unexpectedly prolonged survival even after immunotherapy failure. Importantly, current guidelines offer minimal direction on managing CM in this context, and prior case reports do not reflect present-day treatment realities. The key message for clinicians is that CM should not automatically be approached with palliative intent; carefully selected patients may benefit from an oligometastatic strategy that actively targets limited metastatic sites to prolong survival. Our findings underscore the need for ophthalmology, radiation oncology, and medical oncology collaboration when vision-threatening or occult metastatic lesions arise., For readers, the takeaway is that choroidal metastasis-particularly in the era of immunotherapy-warrants individualized, multidisciplinary evaluation rather than default palliation. Our case demonstrates that coordinated multimodality management can achieve long-term disease control, highlighting a treatment paradigm worth considering for selected patients and calling for updated guidelines that reflect modern therapeutic capabilities.
{"title":"An Eye-Opening Approach: Cancer of Unknown Primary Source With Choroidal Metastasis Case Report.","authors":"Erin Kaser, Vedin Barve, Alexander Blaschke, Constance Fry, Corey Waldman, Sarah Hackman, William Kelly","doi":"10.2196/77895","DOIUrl":"10.2196/77895","url":null,"abstract":"<p><strong>Unlabelled: </strong>Choroidal metastases (CM) represent a rare but clinically significant manifestation of systemic malignancy, most frequently from lung cancer., The choroid's vascular anatomy allows hematogenous tumor seeding. Although CM may be the first clinical sign of an underlying malignancy, evidence guiding its management in the modern immunotherapy era remains limited, as most published cases predate the widespread use of immune checkpoint-inhibitors., We describe a 33-year-old male patient presenting with ocular pain and visual disturbance, who was found to have an amelanotic choroidal lesion. Systemic workup revealed small pulmonary nodules and an iliac crest lesion. Sequential biopsies suggested that this was metastatic adenocarcinoma of unknown primary origin, but most likely of lung origin, without actionable mutations or PD-L1 (programmed death-ligand 1) expression. Management required multidisciplinary coordination and included carboplatin, paclitaxel, and pembrolizumab, followed by radiation to the orbit, iliac crest, and mediastinal sites of disease. Unfortunately, he experienced progression while on maintenance immunotherapy with new rib and brain lesions, for which he underwent treatment with platinum, pemetrexed, and bevacizumab with additional radiotherapy. Despite loss of vision in the affected eye, he achieved durable disease control and remains free of radiographic recurrent disease>4 years after diagnosis., This case illustrates that multimodality salvage strategies-integrating systemic therapy with aggressive local radiation-can provide unexpectedly prolonged survival even after immunotherapy failure. Importantly, current guidelines offer minimal direction on managing CM in this context, and prior case reports do not reflect present-day treatment realities. The key message for clinicians is that CM should not automatically be approached with palliative intent; carefully selected patients may benefit from an oligometastatic strategy that actively targets limited metastatic sites to prolong survival. Our findings underscore the need for ophthalmology, radiation oncology, and medical oncology collaboration when vision-threatening or occult metastatic lesions arise., For readers, the takeaway is that choroidal metastasis-particularly in the era of immunotherapy-warrants individualized, multidisciplinary evaluation rather than default palliation. Our case demonstrates that coordinated multimodality management can achieve long-term disease control, highlighting a treatment paradigm worth considering for selected patients and calling for updated guidelines that reflect modern therapeutic capabilities.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e77895"},"PeriodicalIF":1.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12875659/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127240","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}
Ludovic van Delden, Stephan von Düring, Frederic Rouyer, Anne Rossel, Christophe Marti, Sara Cereghetti, Xavier Roux, Thibaut Desmettre, Olivier Grosgurin, Christophe A Fehlmann
Background: Global population aging places an increasing burden on health care systems. This is driven by multimorbidity, frailty, and polypharmacy. Older adults, particularly those aged 65 years or older, use emergency departments (EDs) more frequently and experience poorer outcomes. In this population, decisions regarding admission to monitored acute care units-intensive care units, intermediate care units, and operating rooms-are frequent and complex. While ED and intensive care unit use are well documented, data on monitored acute care units as a whole remain limited. Evidence on admission trends, patient characteristics, and outcomes in older adults is scarce.
Objective: This study aimed to describe temporal trends in monitored acute care unit admissions, identify predictors of such admissions, and assess outcomes following these admissions.
Methods: We conducted a retrospective cohort study using routinely collected electronic health record data. We included patients aged 65 years or older who visited the EDs of the Geneva University Hospitals, Switzerland, between 2009 and 2019. The primary outcome was admission to a monitored acute care unit. The secondary outcomes were hospital length of stay, 7-day mortality, and 1-year mortality. Logistic regression models were used to identify factors associated with monitored acute care unit admission and to assess the association between age and mortality.
Results: During the 10-year period, 701,838 ED visits were recorded. Annual visits increased from 56,944 to 76,368 (+34.1%). The increase was greater among patients aged 65 years or older (+56.1%) than among younger patients (+26.5%). A total of 180,189 older patients presented to the ED. Of these, 887 (0.5%) died in the ED, 97,238 (54.0%) were discharged home, 63,025 (35.0%) were admitted to a ward, and 19,039 (10.6%) were admitted to a monitored acute care unit. Monitored acute care unit admissions increased from 1379 (10.3%) in 2009 to 2240 (11.1%) in 2019. This represented an absolute increase of 62.4% and a relative increase of 0.8%. Predictors of monitored acute care unit admission included younger age, male sex, ambulance arrival, higher triage level, being married or in a relationship, not residing in a nursing home, and French as the primary language. Among patients admitted to a monitored acute care unit, mortality was 5.8% (1105/19,039) at 7 days and 22.3% (4251/18,039) at 1 year. Older age was associated with higher 7-day mortality (adjusted odds ratio 1.55, 95% CI 1.14-2.10) and 1-year mortality (adjusted odds ratio 1.28, 95% CI 1.08-1.51).
Conclusions: Admissions to monitored acute care units among older patients increased over time. These findings indicate a growing demand for high-level care in this population. Hospitals should adapt infrastructure and resource allocation to address the needs of an aging population.
背景:全球人口老龄化给卫生保健系统带来越来越大的负担。这是由多种疾病、虚弱和多种药物驱动的。老年人,特别是65岁或以上的老年人,更频繁地使用急诊科(ed),结果也更差。在这一人群中,关于进入监护急症病房(重症监护病房、中级监护病房和手术室)的决定是频繁和复杂的。虽然急诊科和重症监护病房的使用有很好的记录,但整个监测急症监护病房的数据仍然有限。关于老年人入院趋势、患者特征和结局的证据很少。目的:本研究旨在描述监测急症监护病房入院的时间趋势,确定此类入院的预测因素,并评估这些入院后的结果。方法:我们使用常规收集的电子健康记录数据进行回顾性队列研究。我们纳入了2009年至2019年期间在瑞士日内瓦大学医院急诊室就诊的65岁及以上患者。主要结局是入住监护急症监护病房。次要结局是住院时间、7天死亡率和1年死亡率。使用逻辑回归模型来确定与监测的急性护理病房入院相关的因素,并评估年龄和死亡率之间的关系。结果:在10年期间,记录了701,838次ED就诊。年访问量从56,944次增加到76,368次(+34.1%)。65岁及以上患者的增加(+56.1%)大于年轻患者(+26.5%)。共有180189名老年患者就诊于急诊科,其中887人(0.5%)死于急诊科,97338人(54.0%)出院回家,63025人(35.0%)住进病房,19039人(10.6%)住进监护急诊科。受监测的急性护理病房入院人数从2009年的1379例(10.3%)增加到2019年的2240例(11.1%)。其中,绝对增长62.4%,相对增长0.8%。急性护理病房入院监测的预测因素包括年龄更小、男性、救护车到达、更高的分类水平、已婚或有关系、不在养老院居住、法语为主要语言。在接受监测的急症监护病房的患者中,7天死亡率为5.8%(1105/19,039),1年死亡率为22.3%(4251/18,039)。年龄较大与较高的7天死亡率(校正优势比1.55,95% CI 1.14-2.10)和1年死亡率(校正优势比1.28,95% CI 1.08-1.51)相关。结论:随着时间的推移,接受监测的急性护理单位的老年患者增加。这些发现表明,这一人群对高水平护理的需求日益增长。医院应调整基础设施和资源分配,以满足人口老龄化的需要。
{"title":"Trends, Predictors, and Outcomes of Monitored Acute Care Unit Admissions in Older Adults: 10-Year Retrospective Analysis.","authors":"Ludovic van Delden, Stephan von Düring, Frederic Rouyer, Anne Rossel, Christophe Marti, Sara Cereghetti, Xavier Roux, Thibaut Desmettre, Olivier Grosgurin, Christophe A Fehlmann","doi":"10.2196/80629","DOIUrl":"10.2196/80629","url":null,"abstract":"<p><strong>Background: </strong>Global population aging places an increasing burden on health care systems. This is driven by multimorbidity, frailty, and polypharmacy. Older adults, particularly those aged 65 years or older, use emergency departments (EDs) more frequently and experience poorer outcomes. In this population, decisions regarding admission to monitored acute care units-intensive care units, intermediate care units, and operating rooms-are frequent and complex. While ED and intensive care unit use are well documented, data on monitored acute care units as a whole remain limited. Evidence on admission trends, patient characteristics, and outcomes in older adults is scarce.</p><p><strong>Objective: </strong>This study aimed to describe temporal trends in monitored acute care unit admissions, identify predictors of such admissions, and assess outcomes following these admissions.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study using routinely collected electronic health record data. We included patients aged 65 years or older who visited the EDs of the Geneva University Hospitals, Switzerland, between 2009 and 2019. The primary outcome was admission to a monitored acute care unit. The secondary outcomes were hospital length of stay, 7-day mortality, and 1-year mortality. Logistic regression models were used to identify factors associated with monitored acute care unit admission and to assess the association between age and mortality.</p><p><strong>Results: </strong>During the 10-year period, 701,838 ED visits were recorded. Annual visits increased from 56,944 to 76,368 (+34.1%). The increase was greater among patients aged 65 years or older (+56.1%) than among younger patients (+26.5%). A total of 180,189 older patients presented to the ED. Of these, 887 (0.5%) died in the ED, 97,238 (54.0%) were discharged home, 63,025 (35.0%) were admitted to a ward, and 19,039 (10.6%) were admitted to a monitored acute care unit. Monitored acute care unit admissions increased from 1379 (10.3%) in 2009 to 2240 (11.1%) in 2019. This represented an absolute increase of 62.4% and a relative increase of 0.8%. Predictors of monitored acute care unit admission included younger age, male sex, ambulance arrival, higher triage level, being married or in a relationship, not residing in a nursing home, and French as the primary language. Among patients admitted to a monitored acute care unit, mortality was 5.8% (1105/19,039) at 7 days and 22.3% (4251/18,039) at 1 year. Older age was associated with higher 7-day mortality (adjusted odds ratio 1.55, 95% CI 1.14-2.10) and 1-year mortality (adjusted odds ratio 1.28, 95% CI 1.08-1.51).</p><p><strong>Conclusions: </strong>Admissions to monitored acute care units among older patients increased over time. These findings indicate a growing demand for high-level care in this population. Hospitals should adapt infrastructure and resource allocation to address the needs of an aging population.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e80629"},"PeriodicalIF":1.9,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12863243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108332","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}
Siyu Zhai, Andrew Goodman, Anthony C Smith, Sandra Diminic, Xiaoyun Zhou
Background: First Nations people in Australia experience inequitable mental health outcomes and service access. Digital mental health (DMH) services, which refer to offering mental health services through digital platforms, are considered potential solutions to address such mental health service inequities and improve the mental health outcomes of First Nations Australians. However, evidence on the effectiveness of DMH services for First Nations people in Australia is yet to be synthesized.
Objective: This systematic scoping review aims to fill this gap and to identify the facilitators and barriers that influence the implementation of DMH services among First Nations people in Australia.
Methods: A systematic search was conducted across 6 academic databases to search for studies related to DMH services for First Nations people in Australia. Search terms relating to First Nations people, geographic terminologies of Australia, mental health, and DMH services were used. Studies were included if they assessed the effectiveness of DMH services or the determinants of the facilitators and barriers of implementing DMH interventions among First Nations people in Australia. Data were extracted based on study design, targeted services, and research findings, and were then synthesized using a thematic analysis framework.
Results: In total, 22 studies met the inclusion criteria. DMH services were used to support and treat First Nations Australians and conduct psychological assessments in these individuals. Evidence of effectiveness was stronger for nonsevere mental health conditions. The determinants of the facilitators and barriers of the implementation of DMH services included the following: (1) organizational and administrative factors; (2) cultural appropriateness; (3) accessibility; (4) integration of DMH services in the existing health system; (5) engagement between clients and service providers; (6) coverage of different conditions and clients; (7) acceptability to DMH services; (8) digital literacy; and (9) efficiency.
Conclusions: Evidence on the use of DMH services for First Nations Australians remains heterogeneous in terms of study design and outcome measurement. DMH services appear to be most effective for managing nonsevere mental health conditions. Successful implementation requires multilevel structural support, including policy and organizational commitment, enhanced digital infrastructure, workforce training and engagement, and the design of culturally responsive DMH models to improve uptake and equitable access to mental health care among First Nations Australians.
{"title":"The Effectiveness, Facilitators, and Barriers of Digital Mental Health Services for First Nations People in Australia: Systematic Scoping Review.","authors":"Siyu Zhai, Andrew Goodman, Anthony C Smith, Sandra Diminic, Xiaoyun Zhou","doi":"10.2196/80386","DOIUrl":"10.2196/80386","url":null,"abstract":"<p><strong>Background: </strong>First Nations people in Australia experience inequitable mental health outcomes and service access. Digital mental health (DMH) services, which refer to offering mental health services through digital platforms, are considered potential solutions to address such mental health service inequities and improve the mental health outcomes of First Nations Australians. However, evidence on the effectiveness of DMH services for First Nations people in Australia is yet to be synthesized.</p><p><strong>Objective: </strong>This systematic scoping review aims to fill this gap and to identify the facilitators and barriers that influence the implementation of DMH services among First Nations people in Australia.</p><p><strong>Methods: </strong>A systematic search was conducted across 6 academic databases to search for studies related to DMH services for First Nations people in Australia. Search terms relating to First Nations people, geographic terminologies of Australia, mental health, and DMH services were used. Studies were included if they assessed the effectiveness of DMH services or the determinants of the facilitators and barriers of implementing DMH interventions among First Nations people in Australia. Data were extracted based on study design, targeted services, and research findings, and were then synthesized using a thematic analysis framework.</p><p><strong>Results: </strong>In total, 22 studies met the inclusion criteria. DMH services were used to support and treat First Nations Australians and conduct psychological assessments in these individuals. Evidence of effectiveness was stronger for nonsevere mental health conditions. The determinants of the facilitators and barriers of the implementation of DMH services included the following: (1) organizational and administrative factors; (2) cultural appropriateness; (3) accessibility; (4) integration of DMH services in the existing health system; (5) engagement between clients and service providers; (6) coverage of different conditions and clients; (7) acceptability to DMH services; (8) digital literacy; and (9) efficiency.</p><p><strong>Conclusions: </strong>Evidence on the use of DMH services for First Nations Australians remains heterogeneous in terms of study design and outcome measurement. DMH services appear to be most effective for managing nonsevere mental health conditions. Successful implementation requires multilevel structural support, including policy and organizational commitment, enhanced digital infrastructure, workforce training and engagement, and the design of culturally responsive DMH models to improve uptake and equitable access to mental health care among First Nations Australians.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e80386"},"PeriodicalIF":1.9,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12841858/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146068399","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}
Christoph Leinert, Marina Liselotte Fotteler, Thomas Derya Kocar, Jessica Wolf, Lisa Beissel, Kathrin Grummich, Dhayana Dallmeier, Michael Denkinger
<p><strong>Background: </strong>Postacute care (PAC) services are important to ensure functional recovery and provide adequate care for geriatric inpatients in acute care. The choice between different PAC options can be challenging, and predictors for the most appropriate among diverse discharge options are warranted.</p><p><strong>Objective: </strong>We conducted a scoping review to identify predictors of appropriate discharge destinations for older adults (≥65 y) in acute care transitioning to different PAC settings and extract the most relevant predictors for different PAC settings as well as a generalizable set of predictor domains.</p><p><strong>Methods: </strong>The databases of Medline, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, CINAHL, and Emcare were systematically searched for English or German literature published until February 25, 2022. A total of 3 researchers screened, extracted, and categorized the data according to domains, discharge destinations, mean age, and health care systems origin, focusing on predictors that increase the likelihood of a discharge destination (positive predictors). The Jaccard index was calculated to compare the similarity between different possible domain combinations and existing literature.</p><p><strong>Results: </strong>Of 22,382 records screened, 171 quantitative and 10 qualitative studies were included. After separating combined discharge destinations, we found 1047 predictors for different discharge destinations including nursing home (n=297, 28%), skilled nursing facility (n=223, 21%), inpatient rehabilitation (n=206, 20%), home with (n=97, 9%) or without (n=74, 7%) support, assisted living (n=63, 6%), and early inpatient rehabilitation (n=21, 2%). Of all positive predictors (n=723), age was the most frequently reported predictor (80/723, 11%). Geriatric syndromes were found more often in patients 80 years or older (121/192, 63%) and in non-US studies (174/285, 61%). The top reported predictors for discharge to nursing homes were diagnosed dementia (9/297, 3%) and deficits in instrumental activities of daily living (ADL; 10/297, 3%); for discharge to rehabilitation, the top predictors were longer length of stay (11/205, 5%) and existent cardiopulmonary disease (10/205, 5%); and for back home without support, the top predictors were good ADL (10/74, 14%) and mobility assessments (9/74, 12%). Among 20 predictor domains, 8 were most concordant with the literature: cognitive impairment, ADL, demographics, social support, hospitalization data, multimorbidity, mobility, and primary diagnosis.</p><p><strong>Conclusions: </strong>This scoping review provides a comprehensive overview of predictors for appropriate discharge decisions in older adults in acute care, stratified by destination, age, study origin, and the predictor domains most concordant with the literature. The results will be valuable to inform the choice of features for clinical decision support systems, including the
背景:急性后护理(PAC)服务对于确保老年住院患者的功能恢复和提供足够的急性护理非常重要。在不同的PAC方案之间进行选择可能具有挑战性,并且需要在各种排放方案中预测最合适的方案。目的:我们进行了一项范围审查,以确定老年人(≥65岁)在急性护理过渡到不同PAC设置的适当出院目的地的预测因素,并提取不同PAC设置最相关的预测因素以及一组可推广的预测域。方法:系统检索Medline、Embase、Cochrane Central Register of Controlled Trials、PsycINFO、CINAHL、Emcare等数据库,检索截至2022年2月25日发表的英文或德文文献。共有3名研究人员根据领域、出院目的地、平均年龄和医疗保健系统来源筛选、提取和分类数据,重点关注增加出院目的地可能性的预测因子(积极预测因子)。计算Jaccard指数来比较不同可能的域组合与现有文献之间的相似性。结果:在筛选的22,382份记录中,包括171份定量研究和10份定性研究。在分离联合出院目的地后,我们发现1047个不同出院目的地的预测因子,包括养老院(n=297, 28%)、熟练护理机构(n=223, 21%)、住院康复(n=206, 20%)、有(n= 97,9%)或没有(n= 74,7%)支持的家庭、辅助生活(n= 63,6%)和早期住院康复(n= 21,2%)。在所有阳性预测因子(n=723)中,年龄是最常见的预测因子(80/723,11%)。老年综合征更常见于80岁或以上的患者(121/192,63%)和非美国研究(174/285,61%)。出院预测因子最高的是诊断为痴呆(9/ 297,3%)和日常生活工具活动缺陷(ADL; 10/ 297,3%);出院康复前,住院时间较长(11/ 205.5%)和存在心肺疾病(10/ 205.5%)的预测因子最高;对于没有支持的家庭,最重要的预测因子是良好的ADL(10/74, 14%)和活动能力评估(9/74,12%)。在20个预测域中,8个与文献最一致:认知障碍、ADL、人口统计学、社会支持、住院数据、多发病、活动能力和初次诊断。结论:该范围综述对急症护理中老年人适当出院决定的预测因素进行了全面概述,并按目的地、年龄、研究来源和与文献最一致的预测域进行了分层。该结果将为临床决策支持系统的特征选择提供有价值的信息,包括机器学习算法的训练。
{"title":"Identifying Key Predictors of Appropriate Discharge Destinations for Older Inpatients in Acute Care: Scoping Review.","authors":"Christoph Leinert, Marina Liselotte Fotteler, Thomas Derya Kocar, Jessica Wolf, Lisa Beissel, Kathrin Grummich, Dhayana Dallmeier, Michael Denkinger","doi":"10.2196/76582","DOIUrl":"10.2196/76582","url":null,"abstract":"<p><strong>Background: </strong>Postacute care (PAC) services are important to ensure functional recovery and provide adequate care for geriatric inpatients in acute care. The choice between different PAC options can be challenging, and predictors for the most appropriate among diverse discharge options are warranted.</p><p><strong>Objective: </strong>We conducted a scoping review to identify predictors of appropriate discharge destinations for older adults (≥65 y) in acute care transitioning to different PAC settings and extract the most relevant predictors for different PAC settings as well as a generalizable set of predictor domains.</p><p><strong>Methods: </strong>The databases of Medline, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, CINAHL, and Emcare were systematically searched for English or German literature published until February 25, 2022. A total of 3 researchers screened, extracted, and categorized the data according to domains, discharge destinations, mean age, and health care systems origin, focusing on predictors that increase the likelihood of a discharge destination (positive predictors). The Jaccard index was calculated to compare the similarity between different possible domain combinations and existing literature.</p><p><strong>Results: </strong>Of 22,382 records screened, 171 quantitative and 10 qualitative studies were included. After separating combined discharge destinations, we found 1047 predictors for different discharge destinations including nursing home (n=297, 28%), skilled nursing facility (n=223, 21%), inpatient rehabilitation (n=206, 20%), home with (n=97, 9%) or without (n=74, 7%) support, assisted living (n=63, 6%), and early inpatient rehabilitation (n=21, 2%). Of all positive predictors (n=723), age was the most frequently reported predictor (80/723, 11%). Geriatric syndromes were found more often in patients 80 years or older (121/192, 63%) and in non-US studies (174/285, 61%). The top reported predictors for discharge to nursing homes were diagnosed dementia (9/297, 3%) and deficits in instrumental activities of daily living (ADL; 10/297, 3%); for discharge to rehabilitation, the top predictors were longer length of stay (11/205, 5%) and existent cardiopulmonary disease (10/205, 5%); and for back home without support, the top predictors were good ADL (10/74, 14%) and mobility assessments (9/74, 12%). Among 20 predictor domains, 8 were most concordant with the literature: cognitive impairment, ADL, demographics, social support, hospitalization data, multimorbidity, mobility, and primary diagnosis.</p><p><strong>Conclusions: </strong>This scoping review provides a comprehensive overview of predictors for appropriate discharge decisions in older adults in acute care, stratified by destination, age, study origin, and the predictor domains most concordant with the literature. The results will be valuable to inform the choice of features for clinical decision support systems, including the ","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e76582"},"PeriodicalIF":1.9,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12826578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146031538","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}
<p><strong>Background: </strong>Postnatal depression (PND) is a clinical sign of sadness in certain individuals after childbirth. PND affects the mother, the baby, and the whole family. PND is now recognized as a public health concern worldwide. The global prevalence of PND is approximately 17.22%. However, less than half of those affected seek help, which means over 50% of PND cases are left untreated. Current reviews lack focus on digital interventions targeting parents in late pregnancy or postnatal stages. Existing studies prioritize symptom relief over fostering help-seeking behaviors.</p><p><strong>Objective: </strong>This study aims to identify what serious games have been applied to support the treatment or help-seeking of PND and what gaps are still left.</p><p><strong>Methods: </strong>Eligibility criteria for this review included full-text papers from 2015 to 2024 from conferences or peer-reviewed journals that were relevant to serious games to support help-seeking behaviors for individuals with depression. Seven research databases and publisher repositories were used. The final search was conducted in March 2025, and a thematic analysis was used to identify and organize recurring themes. As this review adopts a narrative approach, predefined eligibility criteria, a structured search strategy, and review by an interprofessional team were used to reduce selection bias.</p><p><strong>Results: </strong>Only 2 studies related to PND were identified. After expanding the search string to depression, 13 studies were included in this review, and the studied games were divided into 3 help-seeking categories: promoting knowledge, reducing stigma, and raising awareness. This review identified that gamification, educational messages, and supportive character interactions could enhance engagement, build coping skills, and promote help-seeking in a practical, parent-friendly format. Nonetheless, this paper is limited by the reliance on depression literature due to scarce PND-specific studies, the quality of included studies, the exclusion of non-English language publications, and the use of common but select academic databases. These factors may affect generalizability but also serve to highlight critical gaps for future research and targeted intervention design.</p><p><strong>Conclusions: </strong>There is a dearth of studies directly related to PND. Existing games commonly use narrative storytelling and interactive scenarios to promote empathy, correct misconceptions, and encourage help-seeking in broad depression. However, few are designed specifically for new parents, whose unique needs-such as time constraints-make mobile platforms the most suitable format for effective engagement. The authors propose that the future interprofessional codevelopment of a mobile serious game tailored to new parents would address the intervention and literature gaps identified in this review. It is argued that key design elements should include an emotionally enga
{"title":"Exploring Serious Games in Supporting Postnatal Depression: Narrative Review.","authors":"Weijie Wang, Erika Penney, Valerie Gay, Jaime Garcia","doi":"10.2196/70777","DOIUrl":"10.2196/70777","url":null,"abstract":"<p><strong>Background: </strong>Postnatal depression (PND) is a clinical sign of sadness in certain individuals after childbirth. PND affects the mother, the baby, and the whole family. PND is now recognized as a public health concern worldwide. The global prevalence of PND is approximately 17.22%. However, less than half of those affected seek help, which means over 50% of PND cases are left untreated. Current reviews lack focus on digital interventions targeting parents in late pregnancy or postnatal stages. Existing studies prioritize symptom relief over fostering help-seeking behaviors.</p><p><strong>Objective: </strong>This study aims to identify what serious games have been applied to support the treatment or help-seeking of PND and what gaps are still left.</p><p><strong>Methods: </strong>Eligibility criteria for this review included full-text papers from 2015 to 2024 from conferences or peer-reviewed journals that were relevant to serious games to support help-seeking behaviors for individuals with depression. Seven research databases and publisher repositories were used. The final search was conducted in March 2025, and a thematic analysis was used to identify and organize recurring themes. As this review adopts a narrative approach, predefined eligibility criteria, a structured search strategy, and review by an interprofessional team were used to reduce selection bias.</p><p><strong>Results: </strong>Only 2 studies related to PND were identified. After expanding the search string to depression, 13 studies were included in this review, and the studied games were divided into 3 help-seeking categories: promoting knowledge, reducing stigma, and raising awareness. This review identified that gamification, educational messages, and supportive character interactions could enhance engagement, build coping skills, and promote help-seeking in a practical, parent-friendly format. Nonetheless, this paper is limited by the reliance on depression literature due to scarce PND-specific studies, the quality of included studies, the exclusion of non-English language publications, and the use of common but select academic databases. These factors may affect generalizability but also serve to highlight critical gaps for future research and targeted intervention design.</p><p><strong>Conclusions: </strong>There is a dearth of studies directly related to PND. Existing games commonly use narrative storytelling and interactive scenarios to promote empathy, correct misconceptions, and encourage help-seeking in broad depression. However, few are designed specifically for new parents, whose unique needs-such as time constraints-make mobile platforms the most suitable format for effective engagement. The authors propose that the future interprofessional codevelopment of a mobile serious game tailored to new parents would address the intervention and literature gaps identified in this review. It is argued that key design elements should include an emotionally enga","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e70777"},"PeriodicalIF":1.9,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12810747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145991706","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}
Yahua Zi, Sjors Rb van de Ven, Eco Jc de Geus, Peijie Chen
<p><strong>Background: </strong>Accurate monitoring of moderate-to-vigorous physical activity (MVPA) is critical for advancing public health research and personalized interventions. Traditional accelerometry methods, reliant on regression-derived intensity cut points, exhibit significant misclassification errors and poor generalizability to the free-living environment. Recent advancements in machine learning (ML) and deep learning (DL) offer promising alternatives for automated MVPA detection.</p><p><strong>Objective: </strong>This scoping review synthesizes evidence on ML and DL techniques for MVPA estimation and prediction using accelerometer data, focusing on performance, algorithm bias, sensor configurations, and translational potential.</p><p><strong>Methods: </strong>Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, we conducted a systematic search across PubMed, IEEE Xplore, and Web of Science (February 1995-April 2025), supplemented by snowball citation tracking. Two independent reviewers screened titles, abstracts, and full texts against predefined inclusion criteria. Data from included studies were charted by one reviewer and verified by the other, extracting details on study characteristics, sensor configuration, ML and DL techniques, validation methods, and performance metrics. A narrative synthesis approach was used, guided by 6 research questions, to collate and summarize the findings. The synthesis process was rigorously reviewed by multiple authors to ensure consistency.</p><p><strong>Results: </strong>Of 1938 screened studies, 40 met the inclusion criteria, with 4 studies added by follow-up manual searches. While traditional ML models (eg, random forest, support vector machine) achieved strong laboratory performance with F<sub>1</sub>-score of 87.4%-100% and accuracy of 87.9%-100%, their real-world performance declined by 8.0%-13.3% in F<sub>1</sub>-score and 6.6%-12.2% in accuracy, due to environment noise and device heterogeneity. DL architectures (eg, convolutional neural networks, transformers) achieved robust performance by leveraging raw signal dynamics with an F<sub>1</sub>-score of 71.9%-79.8% and an accuracy of 87.9%-100% in free-living settings. Hybrid models (eg, convolutional neural networks and long short-term memory) demonstrated state-of-the-art performance (F<sub>1</sub>-score 91.4%-98.4%, accuracy 97.7%-99.0%). Wrist-worn sensors dominated studies (30/40, 75%) and matched hip/thigh placements in lab settings (mean F<sub>1</sub>-scores: 86.5%-88.6%), but multisensor configurations (wrist + hip) yielded the highest accuracy (89.7%). Key challenges included algorithmic bias reducing applicability in older adult populations, and impaired reproducibility, with only 42.5% (17/40) of studies sharing code and data. Emerging opportunities are noted for edge computing and hybrid models integrating contextual data.</p><p><strong>Conclusions: <
背景:准确监测中高强度身体活动(MVPA)对于推进公共卫生研究和个性化干预至关重要。传统的加速度测量方法依赖于回归导出的强度切点,存在明显的误分类误差,并且对自由生活环境的泛化能力差。机器学习(ML)和深度学习(DL)的最新进展为自动MVPA检测提供了有前途的替代方案。目的:本综述综合了使用加速度计数据进行MVPA估计和预测的ML和DL技术的证据,重点关注性能、算法偏差、传感器配置和转化潜力。方法:根据PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and meta - analysis Extension for Scoping Reviews)指南,我们对PubMed、IEEE Xplore和Web of Science(1995年2月- 2025年4月)进行了系统检索,并辅以滚雪球式引文跟踪。两名独立的审稿人根据预先确定的纳入标准筛选标题、摘要和全文。纳入研究的数据由一位审稿人绘制图表,并由另一位审稿人进行验证,提取有关研究特征、传感器配置、ML和DL技术、验证方法和性能指标的详细信息。在6个研究问题的指导下,采用叙事综合方法对研究结果进行整理和总结。合成过程由多个作者严格审查,以确保一致性。结果:在1938项筛选的研究中,40项符合纳入标准,其中4项研究通过随访人工检索增加。传统的机器学习模型(如随机森林、支持向量机)在实验室的f1得分为87.4%-100%,准确率为87.9%-100%,但由于环境噪声和设备异质性的影响,它们在现实世界的f1得分下降了8.0%-13.3%,准确率下降了6.6%-12.2%。深度学习架构(如卷积神经网络、变压器)通过利用原始信号动态实现了强大的性能,在自由生活环境中f1得分为71.9%-79.8%,准确率为87.9%-100%。混合模型(如卷积神经网络和长短期记忆)表现出了最先进的性能(f1得分91.4%-98.4%,准确率97.7%-99.0%)。腕带传感器在研究中占主导地位(30/ 40,75%),在实验室设置中匹配臀部/大腿位置(平均f1得分:86.5%-88.6%),但多传感器配置(手腕+臀部)产生了最高的准确性(89.7%)。主要的挑战包括算法偏差降低了在老年人群中的适用性,以及可重复性受损,只有42.5%(17/40)的研究共享代码和数据。边缘计算和集成上下文数据的混合模型是新兴的机会。结论:ML和DL通过自动特征提取和提高对自由生活变异性的适应性,显著增强了MVPA监测。然而,持续的可泛化性差距、不一致的验证协议和透明度缺陷阻碍了翻译。研究结果表明,未来的研究需要优先考虑包容性模型培训、标准化报告框架和开放科学实践,以实现人工智能驱动的体育活动评估的公平潜力。
{"title":"Machine and Deep Learning for Detection of Moderate-to-Vigorous Physical Activity From Accelerometer Data: Systematic Scoping Review.","authors":"Yahua Zi, Sjors Rb van de Ven, Eco Jc de Geus, Peijie Chen","doi":"10.2196/76601","DOIUrl":"10.2196/76601","url":null,"abstract":"<p><strong>Background: </strong>Accurate monitoring of moderate-to-vigorous physical activity (MVPA) is critical for advancing public health research and personalized interventions. Traditional accelerometry methods, reliant on regression-derived intensity cut points, exhibit significant misclassification errors and poor generalizability to the free-living environment. Recent advancements in machine learning (ML) and deep learning (DL) offer promising alternatives for automated MVPA detection.</p><p><strong>Objective: </strong>This scoping review synthesizes evidence on ML and DL techniques for MVPA estimation and prediction using accelerometer data, focusing on performance, algorithm bias, sensor configurations, and translational potential.</p><p><strong>Methods: </strong>Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, we conducted a systematic search across PubMed, IEEE Xplore, and Web of Science (February 1995-April 2025), supplemented by snowball citation tracking. Two independent reviewers screened titles, abstracts, and full texts against predefined inclusion criteria. Data from included studies were charted by one reviewer and verified by the other, extracting details on study characteristics, sensor configuration, ML and DL techniques, validation methods, and performance metrics. A narrative synthesis approach was used, guided by 6 research questions, to collate and summarize the findings. The synthesis process was rigorously reviewed by multiple authors to ensure consistency.</p><p><strong>Results: </strong>Of 1938 screened studies, 40 met the inclusion criteria, with 4 studies added by follow-up manual searches. While traditional ML models (eg, random forest, support vector machine) achieved strong laboratory performance with F<sub>1</sub>-score of 87.4%-100% and accuracy of 87.9%-100%, their real-world performance declined by 8.0%-13.3% in F<sub>1</sub>-score and 6.6%-12.2% in accuracy, due to environment noise and device heterogeneity. DL architectures (eg, convolutional neural networks, transformers) achieved robust performance by leveraging raw signal dynamics with an F<sub>1</sub>-score of 71.9%-79.8% and an accuracy of 87.9%-100% in free-living settings. Hybrid models (eg, convolutional neural networks and long short-term memory) demonstrated state-of-the-art performance (F<sub>1</sub>-score 91.4%-98.4%, accuracy 97.7%-99.0%). Wrist-worn sensors dominated studies (30/40, 75%) and matched hip/thigh placements in lab settings (mean F<sub>1</sub>-scores: 86.5%-88.6%), but multisensor configurations (wrist + hip) yielded the highest accuracy (89.7%). Key challenges included algorithmic bias reducing applicability in older adult populations, and impaired reproducibility, with only 42.5% (17/40) of studies sharing code and data. Emerging opportunities are noted for edge computing and hybrid models integrating contextual data.</p><p><strong>Conclusions: <","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e76601"},"PeriodicalIF":1.9,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12828321/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145936121","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}
<p><strong>Background: </strong>In December 2022, in light of the weakened pathogenicity of the new variants and other scientific considerations, China optimized its zero-COVID policy. As the situation evolved, the virus spread more widely across the country.</p><p><strong>Objective: </strong>This study aims to explore the public's sleep status and its association with purchasing behavior of COVID-19 medicine after the adjustment of zero-COVID policy in China.</p><p><strong>Methods: </strong>A cross-sectional, internet-based survey among residents aged 18-69 years was conducted in Zhejiang province, China, from December 16 to 30, 2022, to collect data on sociodemographic characteristics, COVID-19 drug purchasing behavior, sleep disturbance levels, etc. Chi-square tests, univariate analyses, and multivariate analyses were used to explore the associations among these factors.</p><p><strong>Results: </strong>Out of 38,480 participants, 20,803 (54.1%) reported sleep disruption after China's COVID-19 response policy adjustment. The degree of impact varied, with 10,964 (52.70%) reporting "slight," 3105 (14.93%) "moderate," 3493 (16.79%) "significant," and 3241 (15.58%) "very significant" impacts. Only 20.90% (782/3742) of those who deemed purchasing unnecessary had sleep disruptions, compared to 45.19% (6214/13,752) of those who acquired medications and 65.79% (13,807/20,986) of those who tried but failed to obtain them. Sleep disturbance levels were significantly associated with sociodemographic factors like age, education levels, occupation, marital status, and presence of family members diagnosed with COVID-19 (P<.05). By age, sleep disturbance proportions differed notably: 36.32% (409/1126) for those under 20 years, 54.81% (19,714/35,970) for the 20 to 60 age group, and 49.13% (680/1384) for individuals over 60 years. For education level, the proportions were 57.44% (517/900, primary school), 54.34% (3928 /7229, junior high school), 54.27% (3808/7017, senior high school), 53.99% (11,974/22,180, junior college/undergraduate), and 49.91% (576/1154, master's degree), showing a clear downward trend as education level increased. By occupation, farmers had the highest rate (855/1447, 59.09%), followed by business/service industry workers and stay-at-home/unemployed individuals (13,925/24,750, 56.26%) and government staff (4161/7712, 53.95%), while 1242 out of 3049 (40.73%) health workers and 620 out of 1522 (40.74%) students had lower rates. Married participants had a 55.21% (17,143/31,053) sleep disturbance rate, and those with COVID-positive family members had the highest rate (2023/2873, 70.41%). Multivariate logistic regression, adjusting for these sociodemographic factors, showed that compared to those who thought purchasing COVID-19 medications was unnecessary, those who acquired medications were 3.11 times (adjusted odds ratio 3.11, 95% CI 2.85-3.39) more likely, and those who tried but couldn't get medications were 7.11 times (adjusted odds ratio
{"title":"Sleep Disturbance and Its Association With Purchasing Behavior of COVID-19 Medicine Among the Public After the Adjustment of Zero-COVID Policy in China: Results From a Web-Based Survey Study.","authors":"Yu Huang, Xiang Zhao, Lei Wang, Qiaohong Lv, Qingqing Wu, Shuiyang Xu, Xuehai Zhang, Shuxian Wu","doi":"10.2196/79903","DOIUrl":"10.2196/79903","url":null,"abstract":"<p><strong>Background: </strong>In December 2022, in light of the weakened pathogenicity of the new variants and other scientific considerations, China optimized its zero-COVID policy. As the situation evolved, the virus spread more widely across the country.</p><p><strong>Objective: </strong>This study aims to explore the public's sleep status and its association with purchasing behavior of COVID-19 medicine after the adjustment of zero-COVID policy in China.</p><p><strong>Methods: </strong>A cross-sectional, internet-based survey among residents aged 18-69 years was conducted in Zhejiang province, China, from December 16 to 30, 2022, to collect data on sociodemographic characteristics, COVID-19 drug purchasing behavior, sleep disturbance levels, etc. Chi-square tests, univariate analyses, and multivariate analyses were used to explore the associations among these factors.</p><p><strong>Results: </strong>Out of 38,480 participants, 20,803 (54.1%) reported sleep disruption after China's COVID-19 response policy adjustment. The degree of impact varied, with 10,964 (52.70%) reporting \"slight,\" 3105 (14.93%) \"moderate,\" 3493 (16.79%) \"significant,\" and 3241 (15.58%) \"very significant\" impacts. Only 20.90% (782/3742) of those who deemed purchasing unnecessary had sleep disruptions, compared to 45.19% (6214/13,752) of those who acquired medications and 65.79% (13,807/20,986) of those who tried but failed to obtain them. Sleep disturbance levels were significantly associated with sociodemographic factors like age, education levels, occupation, marital status, and presence of family members diagnosed with COVID-19 (P<.05). By age, sleep disturbance proportions differed notably: 36.32% (409/1126) for those under 20 years, 54.81% (19,714/35,970) for the 20 to 60 age group, and 49.13% (680/1384) for individuals over 60 years. For education level, the proportions were 57.44% (517/900, primary school), 54.34% (3928 /7229, junior high school), 54.27% (3808/7017, senior high school), 53.99% (11,974/22,180, junior college/undergraduate), and 49.91% (576/1154, master's degree), showing a clear downward trend as education level increased. By occupation, farmers had the highest rate (855/1447, 59.09%), followed by business/service industry workers and stay-at-home/unemployed individuals (13,925/24,750, 56.26%) and government staff (4161/7712, 53.95%), while 1242 out of 3049 (40.73%) health workers and 620 out of 1522 (40.74%) students had lower rates. Married participants had a 55.21% (17,143/31,053) sleep disturbance rate, and those with COVID-positive family members had the highest rate (2023/2873, 70.41%). Multivariate logistic regression, adjusting for these sociodemographic factors, showed that compared to those who thought purchasing COVID-19 medications was unnecessary, those who acquired medications were 3.11 times (adjusted odds ratio 3.11, 95% CI 2.85-3.39) more likely, and those who tried but couldn't get medications were 7.11 times (adjusted odds ratio","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e79903"},"PeriodicalIF":1.9,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12774404/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145913803","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}
Shakeel Mahmood, M Mamun Huda, Kedir Yimam Ahmed, Thapa Subash, Feleke Hailemichael Astawesegn, Anayochukwu Edward Anyasodor, Mohammad Ali Moni, Muhammad J A Shiddiky, Utpal K Mondal, Setognal Birara Aychiluhm, Santosh Giri, Allen G Ross
[This corrects the article DOI: 10.2196/67460.].
[更正文章DOI: 10.2196/67460]。
{"title":"Correction: Digital Health for Australia: Bridging the Rural, Regional, and Remote Health Gap.","authors":"Shakeel Mahmood, M Mamun Huda, Kedir Yimam Ahmed, Thapa Subash, Feleke Hailemichael Astawesegn, Anayochukwu Edward Anyasodor, Mohammad Ali Moni, Muhammad J A Shiddiky, Utpal K Mondal, Setognal Birara Aychiluhm, Santosh Giri, Allen G Ross","doi":"10.2196/89755","DOIUrl":"10.2196/89755","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2196/67460.].</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"14 ","pages":"e89755"},"PeriodicalIF":1.9,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12826576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145859344","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}
Benedict Sevov, Robin Huettemann, Maximillian Zinner, Sven Meister, Leonard Fehring
<p><strong>Background: </strong>The number and diversity of employee mental health programs (EMHPs), solutions employers offer to their workforce to improve mental health, have expanded rapidly in recent years, driven by advancements in digital technology and increased global awareness of employee mental health. This dynamic has resulted in a diverse and nontransparent EMHP landscape. While existing taxonomies address specific aspects of mental health programs, a comprehensive taxonomy for classifying EMHPs in more detail remains absent. Establishing such a taxonomy would benefit researchers and practitioners by providing a common standard for categorizing EMHPs and thereby enhance transparency.</p><p><strong>Objective: </strong>This research aimed to develop and evaluate a comprehensive taxonomy to holistically classify EMHPs, providing a practical and standardized tool for various target groups to categorize, develop, and select EMHPs.</p><p><strong>Methods: </strong>A thorough taxonomy development process with 4 iterations was applied. The first 2 iterations used conceptual-to-empirical approaches and involved scoping reviews to identify relevant dimensions and characteristics of EMHPs. The latter 2 iterations used empirical-to-conceptual approaches and included semistructured qualitative interviews. The third iteration, involving employee interviews, aimed to identify further dimensions and characteristics of EMHPs to develop the initial taxonomy. During the fourth iteration, 17 international experts were interviewed to refine and validate the initial taxonomy. After the fourth iteration, the taxonomy was evaluated by applying it to 3 real-world EMHPs through a focus group with 5 experts to ensure that all ending conditions and the evaluation goals were met. The interrater reliability was analyzed using the proportion of observed agreement and Fleiss κ.</p><p><strong>Results: </strong>The resulting taxonomy comprises 2 metadimensions, 21 dimensions, and 69 characteristics, offering a standardized framework for EMHP classification and analysis. Experts successfully applied the taxonomy to classify 3 selected EMHPs, resulting in an overall proportion of observed agreement of 85% and a Fleiss κ of 66%. Across dimensions, the proportion of observed agreement ranged from 64% to 100%, with Fleiss κ ranging from 20% to 100% (P values ranging from P=.004 to P<.001).</p><p><strong>Conclusions: </strong>This taxonomy contributes to establishing a common standard for holistic EMHP classification. It benefits both mental health researchers and practitioners in fostering transparency and serves as a structured tool for EMHP analysis. The taxonomy enables researchers to conduct relevant future research, including the systematic identification of EMHP archetypes. In practice, the taxonomy can guide providers in market gap identification and EMHP development, inform employers in decision-making, and assist policymakers in setting up targeted support mechanis
{"title":"A Proposed Taxonomy to Holistically Classify Employee Mental Health Programs: Qualitative Taxonomy Development Study.","authors":"Benedict Sevov, Robin Huettemann, Maximillian Zinner, Sven Meister, Leonard Fehring","doi":"10.2196/67752","DOIUrl":"10.2196/67752","url":null,"abstract":"<p><strong>Background: </strong>The number and diversity of employee mental health programs (EMHPs), solutions employers offer to their workforce to improve mental health, have expanded rapidly in recent years, driven by advancements in digital technology and increased global awareness of employee mental health. This dynamic has resulted in a diverse and nontransparent EMHP landscape. While existing taxonomies address specific aspects of mental health programs, a comprehensive taxonomy for classifying EMHPs in more detail remains absent. Establishing such a taxonomy would benefit researchers and practitioners by providing a common standard for categorizing EMHPs and thereby enhance transparency.</p><p><strong>Objective: </strong>This research aimed to develop and evaluate a comprehensive taxonomy to holistically classify EMHPs, providing a practical and standardized tool for various target groups to categorize, develop, and select EMHPs.</p><p><strong>Methods: </strong>A thorough taxonomy development process with 4 iterations was applied. The first 2 iterations used conceptual-to-empirical approaches and involved scoping reviews to identify relevant dimensions and characteristics of EMHPs. The latter 2 iterations used empirical-to-conceptual approaches and included semistructured qualitative interviews. The third iteration, involving employee interviews, aimed to identify further dimensions and characteristics of EMHPs to develop the initial taxonomy. During the fourth iteration, 17 international experts were interviewed to refine and validate the initial taxonomy. After the fourth iteration, the taxonomy was evaluated by applying it to 3 real-world EMHPs through a focus group with 5 experts to ensure that all ending conditions and the evaluation goals were met. The interrater reliability was analyzed using the proportion of observed agreement and Fleiss κ.</p><p><strong>Results: </strong>The resulting taxonomy comprises 2 metadimensions, 21 dimensions, and 69 characteristics, offering a standardized framework for EMHP classification and analysis. Experts successfully applied the taxonomy to classify 3 selected EMHPs, resulting in an overall proportion of observed agreement of 85% and a Fleiss κ of 66%. Across dimensions, the proportion of observed agreement ranged from 64% to 100%, with Fleiss κ ranging from 20% to 100% (P values ranging from P=.004 to P<.001).</p><p><strong>Conclusions: </strong>This taxonomy contributes to establishing a common standard for holistic EMHP classification. It benefits both mental health researchers and practitioners in fostering transparency and serves as a structured tool for EMHP analysis. The taxonomy enables researchers to conduct relevant future research, including the systematic identification of EMHP archetypes. In practice, the taxonomy can guide providers in market gap identification and EMHP development, inform employers in decision-making, and assist policymakers in setting up targeted support mechanis","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"14 ","pages":"e67752"},"PeriodicalIF":1.9,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12746229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145851465","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}