npj digital public health最新文献

Under-served groups' perspectives on mitigating digital exclusion within healthcare in the North East of England. 服务不足的群体对减轻英格兰东北部医疗保健中的数字排斥的看法。

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-07-03 DOI: 10.1038/s44482-026-00022-w

Sarah Wilson, Clare Tolley, Riona Mc Ardle, Nehal Hassan, Robert Slight, Sarah Slight

{"title":"Under-served groups' perspectives on mitigating digital exclusion within healthcare in the North East of England.","authors":"Sarah Wilson, Clare Tolley, Riona Mc Ardle, Nehal Hassan, Robert Slight, Sarah Slight","doi":"10.1038/s44482-026-00022-w","DOIUrl":"10.1038/s44482-026-00022-w","url":null,"abstract":"Digital Health Technologies (DHTs) can increase access to healthcare and improve patient outcomes, but underserved groups often experience barriers accessing these benefits. This qualitative study explored the perspectives of individuals from underserved groups on using DHTs within healthcare and what practical strategies could be implemented to mitigate digital exclusion. Participants described difficulties accessing healthcare when it was only available digitally, specific challenges relating to DHTs, issues accessing technical support, and concerns about DHTs' ability to support all areas of healthcare. Participants recommended that healthcare providers offer support such as free devices, maintain non-digital access options, and that DHTs are co-designed to be user-friendly. They also called for both increased funding for and better promotion of community-based technical support services, and appropriate user guides. Future research should explore stakeholders' perspectives on the feasibility of implementing these recommendations to develop a holistic understanding of how to effectively support digital health equity.","PeriodicalId":521229,"journal":{"name":"npj digital public health","volume":"1 1","pages":"19"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13331730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148393132","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}

引用次数: 0

Pragmatic lessons for harnessing social media for health research through digital data donation post-API access. 在api访问后通过数字数据捐赠利用社会媒体进行卫生研究的实用教训。

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-01-21 DOI: 10.1038/s44482-025-00002-6

Leo Thorbecke, Anish K Agarwal, Sharath Chandra Guntuku

引用次数: 0

The Digital Mental Health Study assessed feasibility of large-scale digital sensing for depression and anxiety. 数字心理健康研究评估了大规模数字感知抑郁和焦虑的可行性。

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-08-04 DOI: 10.1038/s44482-026-00029-3

Christopher S Douglas, Eliza Congdon, Crane Huang, Darsol Seok, Zachary D Cohen, Samir Akre, Veronica Tozzo, Feiyang Huang, Danielle Ramo-Larios, Raphe A Bernier, Jonathan Flint, Arash Naeim, Brunilda Balliu, Alex A T Bui, Marian Stewart Bartlett, Michelle G Craske, Nelson B Freimer

{"title":"The Digital Mental Health Study assessed feasibility of large-scale digital sensing for depression and anxiety.","authors":"Christopher S Douglas, Eliza Congdon, Crane Huang, Darsol Seok, Zachary D Cohen, Samir Akre, Veronica Tozzo, Feiyang Huang, Danielle Ramo-Larios, Raphe A Bernier, Jonathan Flint, Arash Naeim, Brunilda Balliu, Alex A T Bui, Marian Stewart Bartlett, Michelle G Craske, Nelson B Freimer","doi":"10.1038/s44482-026-00029-3","DOIUrl":"10.1038/s44482-026-00029-3","url":null,"abstract":"Data passively obtained from smartphones and wearables can provide nearly continuous objective information that enables quantification of states and traits across broad physiological, behavioral, and emotional domains impacted in mental health conditions, including depression and anxiety. Widespread application of such digital phenotyping could transform the assessment of depression and anxiety in research and clinical care, but the field has lacked well-powered longitudinal studies demonstrating the utility of this approach. This paper describes the design and implementation of the Digital Mental Health Study (DMHS), which collected up to 12 months of sensor data from iPhone and Apple Watch in over 4000 consenting participants, a sample diverse by age, sex at birth, ethnicity, and depression symptom severity. To enable the use of these digital phenotypes to assay the complexity and heterogeneity of depression and anxiety, we designed a protocol of periodic self-report and interview-based scales optimized to assess elements of depression, anxiety, and perceived stress as broadly as possible while minimizing participant measurement burden. We report here the strategies used to recruit and enroll the DMHS sample, the process employed to develop study methods and protocols, and initial findings describing longitudinal symptom trajectories and demonstrating high participant engagement over 12 months.","PeriodicalId":521229,"journal":{"name":"npj digital public health","volume":"1 1","pages":"27"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13437235/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148681645","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}

引用次数: 0

Cross-lingual transfer with multilingual language models for influenza-like-illness detection in social media texts. 社交媒体文本中流感样疾病检测的跨语言迁移与多语言模型

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-06-03 DOI: 10.1038/s44482-026-00020-y

Niti Mishra, Joan Ballester, Rodrigo Agerri

{"title":"Cross-lingual transfer with multilingual language models for influenza-like-illness detection in social media texts.","authors":"Niti Mishra, Joan Ballester, Rodrigo Agerri","doi":"10.1038/s44482-026-00020-y","DOIUrl":"10.1038/s44482-026-00020-y","url":null,"abstract":"Current Language Models (LMs) can process multilingual texts, enabling social media-based Influenza-Like-Illness (ILI) surveillance across languages without requiring language-specific systems. Yet, it remains unclear whether a cost-effective multilingual classifier can reliably extract ILI signals from social media across countries, languages, and seasons. We introduce MuILI, the first class-balanced multilingual dataset annotated for ILI detection, comprising 4,284 tweets across five widely spoken European languages. Using MuILI, we investigated whether a single multilingual classifier can consistently extract ILI signals across nine ILI seasons for France (2014-2023) and five seasons for Italy, Spain, and Germany (2018-2023). We compared five fine-tuned Multilingual-Masked LMs (MMLMs), three Cross-Lingual Transfer (CLT) strategies, and four In-Context Learning (ICL) techniques with decoder-only Large LMs (LLMs). Domain-adapted MMLMs (Bernice, F1 = 0.87), set the benchmark performance. Comparable results were obtained with translate-train (F1 = 0.85) or model-transfer (F1 = 0.84) from French data alone. Spanish translate-train performed similarly (F1 = 0.84). Among LLMs, only Qwen2.5-72B-Instruct surpassed the benchmark (F1 = 0.88-0.90). Spearman cross-correlation between ILI signals derived from the benchmark classifier and official consultation rates demonstrated strong real-time alignment, though it varied during disruptions. Overall, multilingual LMs can expand ILI surveillance using social-media. CLT offers annotation-efficient solutions, while ICL with LLMs can eliminate annotation requirements but at substantial computational costs.","PeriodicalId":521229,"journal":{"name":"npj digital public health","volume":"1 1","pages":"16"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13233287/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202129","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}

引用次数: 0

eConsent vs traditional consent among prospective biobank participants: a randomized study within a study trial. 前瞻性生物库参与者的eConsent与传统同意：一项研究试验中的随机研究。

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-04-29 DOI: 10.1038/s44482-026-00013-x

Randi L Vogt-Yerem, Patrick R Heck, Tamara Gjorgjieva, Rebecca Mestechkin, Daniel Rosica, Anh Huynh, Christopher F Chabris, H Lester Kirchner, John Wilbanks, Megan Doerr, Jennifer K Wagner, Michelle N Meyer

{"title":"eConsent vs traditional consent among prospective biobank participants: a randomized study within a study trial.","authors":"Randi L Vogt-Yerem, Patrick R Heck, Tamara Gjorgjieva, Rebecca Mestechkin, Daniel Rosica, Anh Huynh, Christopher F Chabris, H Lester Kirchner, John Wilbanks, Megan Doerr, Jennifer K Wagner, Michelle N Meyer","doi":"10.1038/s44482-026-00013-x","DOIUrl":"10.1038/s44482-026-00013-x","url":null,"abstract":"Electronic consent (eConsent) has the potential to cost-effectively scale research recruitment and improve equity in access to research benefits, but it is unclear whether it achieves comparable informedness compared to traditional consent. In a randomized, controlled, non-inferiority trial (N = 604; ClinicalTrials.gov ID NCT04131062), we compared a human conversation-based consent process to an eConsent platform similar to that used by NIH's All of Us Research Program and by studies conducted via Apple ResearchKit. Average comprehension scores of participants randomized to eConsent were non-inferior (N = 233; M = 85.8, SD = 14.7) to those randomized to traditional consent (N = 371; M = 76.5, SD = 22.3; t(600.6) = 9.51, p < 0.001). One limitation was imbalance in the proportion of participants in each arm who initiated the survey via which we collected our outcome measures. Still researchers should give serious consideration to adoption of eConsent as an alternative or supplement to traditional consent. Indeed, the pattern of results we observed suggests that eConsent might yield more informed research enrollment decisions.","PeriodicalId":521229,"journal":{"name":"npj digital public health","volume":"1 1","pages":"9"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13128462/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147826382","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}

引用次数: 0

Effects of heat exposure on self-reported heat strain symptoms among pregnant and postpartum women in South Africa. 热暴露对南非孕妇和产后妇女自我报告的热紧张症状的影响。

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-09-13 DOI: 10.1038/s44482-026-00036-4

Clara Sofia Heil, Shobna Sawry, Günter Alce, Jean le Roux, Pascalia Munyewende, Celeste Madondo, Rose Refilwe Lamola, Sibusiso Mkwananzi, Ijeoma Solarin, Perkins Watambwa, Koen van der Sanden, Isabelle L Lange, Susanne Frennert, Boris Kingma, Veronique Filippi, Stanley Luchters, Chuansi Gao

{"title":"Effects of heat exposure on self-reported heat strain symptoms among pregnant and postpartum women in South Africa.","authors":"Clara Sofia Heil, Shobna Sawry, Günter Alce, Jean le Roux, Pascalia Munyewende, Celeste Madondo, Rose Refilwe Lamola, Sibusiso Mkwananzi, Ijeoma Solarin, Perkins Watambwa, Koen van der Sanden, Isabelle L Lange, Susanne Frennert, Boris Kingma, Veronique Filippi, Stanley Luchters, Chuansi Gao","doi":"10.1038/s44482-026-00036-4","DOIUrl":"10.1038/s44482-026-00036-4","url":null,"abstract":"Heat exposure can harm pregnant and postpartum women, yet heat strain symptoms in this population remain underexplored. This study implemented a novel mobile application and assessed the environmental context of five self-reported heat strain symptoms: skin rashes, sleep disturbances, dizziness, thirst, and exhaustion among pregnant and postpartum women in Tshwane, South Africa. Symptoms were assessed through interviewer-administered questionnaires at three time points over six months (N = 201). Self-reported heat strain was analysed against maximum Wet Bulb Globe Temperature (WBGTmax) and air temperature (Tmax). An additional symptom, wetness sensation, was collected continuously via self-reporting using the application and related to the Universal Thermal Climate Index (UTCI). Generalised Estimating Equation models and General Linear Mixed Models accounted for repeated measures. Four of five symptoms showed significant associations with both WBGTmax and Tmax. Wetness sensation was significantly correlated with UTCI. Thresholds for heat strain symptoms identified through Receiver Operating Characteristic curves ranged between 18.53 °C and 26.16 °C WBGTmax, reflecting differences in perceived severity. Urine specific gravity showed inconsistent association with heat, likely due to measurement timing limitations. Although risk varied across symptoms and threshold modelling was exploratory, this study highlights the adverse health consequences of heat exposure for pregnant and postpartum women, which may inform future interventions.","PeriodicalId":521229,"journal":{"name":"npj digital public health","volume":"1 1","pages":"33"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13572200/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148972990","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}

引用次数: 0

Chatbot-based health interventions in low- and middle-income countries: effective access, early attrition, and design strategies from a mixed-methods study. 中低收入国家基于聊天机器人的卫生干预措施：来自混合方法研究的有效获取、早期损耗和设计策略

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-07-21 DOI: 10.1038/s44482-026-00027-5

Max C Klapow, Paula Zinser, Chiara Facciola, Qing Han, Maria da Graça Ambrósio, Francisco Antonio Calderón Alfaro, Bernice Mamauag, Jennel Reyes, Camille Habacon, Liane Peña Alampay, Samantha Erika Mendez, Rumaya Binti Juhari, Zainal Madon, Farah Zeehan Mohd Nadzri, Moa Schafer, Lily Clements, David Stern, Jamie M Lachman

{"title":"Chatbot-based health interventions in low- and middle-income countries: effective access, early attrition, and design strategies from a mixed-methods study.","authors":"Max C Klapow, Paula Zinser, Chiara Facciola, Qing Han, Maria da Graça Ambrósio, Francisco Antonio Calderón Alfaro, Bernice Mamauag, Jennel Reyes, Camille Habacon, Liane Peña Alampay, Samantha Erika Mendez, Rumaya Binti Juhari, Zainal Madon, Farah Zeehan Mohd Nadzri, Moa Schafer, Lily Clements, David Stern, Jamie M Lachman","doi":"10.1038/s44482-026-00027-5","DOIUrl":"10.1038/s44482-026-00027-5","url":null,"abstract":"Equity in digital health is commonly assessed through enrolment and coverage. For interventions requiring sustained participation, enrolment can substantially overstate access. We report a convergent mixed-methods optimisation study of a chatbot-based behaviour change intervention for caregivers (ParentText) delivered via WhatsApp and Facebook Messenger across three low- and middle-income countries: Jamaica, Malaysia, and the Philippines (N = 1293). Using engagement logs, participant and implementer interviews, and a structured consensus process, we examined attrition patterns and explored optimisations. Median engagement was two days and one module; 93.8% of participants completed less than 25% of available content over the five-week intervention. Fewer than one in five participants remained active at Day 7 in two of three sites. Structural barriers included platform policies restricting follow-up after non-response, high message burden, and onboarding design. A consensus panel identified 23 barriers and generated 29 optimisations (69% rated highly feasible within LMIC contexts), currently being tested in a subsequent trial. We introduce effective access as a complementary construct for digital health interventions requiring repeated participation and propose three design principles: 1) test whether users can resume participation under platform constraints; 2) reduce message burden without removing content; and 3) treat re-engagement as a core feature.","PeriodicalId":521229,"journal":{"name":"npj digital public health","volume":"1 1","pages":"23"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13388102/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148564383","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}

引用次数: 0

Topological modelling of urban air pollution and cognition. 城市空气污染的拓扑建模与认知。

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-04-08 DOI: 10.1038/s44482-025-00009-z

Holger Engleitner, Marta Suárez Pinilla, Martin Rossor, Parashkev Nachev

{"title":"Topological modelling of urban air pollution and cognition.","authors":"Holger Engleitner, Marta Suárez Pinilla, Martin Rossor, Parashkev Nachev","doi":"10.1038/s44482-025-00009-z","DOIUrl":"10.1038/s44482-025-00009-z","url":null,"abstract":"The impact of air pollution on cognitive function has attracted repeated scrutiny, and current results point to a potentially detrimental role. The purpose of this study was to examine this association in geographic space. Cross-sectional, complete observational data from UK Biobank were extracted for the four metropolitan regions of Birmingham, Leeds, Liverpool and Manchester in England, UK, including three pollution indicators and two measures of cognitive performance. A set of additional covariates served to adjust for potential confounders. Spatial analyses for each region and combination of pollution indicator and cognition measure were conducted using mass-univariate linear regression in GeoSPM. Conventional non-spatial Bayesian regression models were used for comparison. A significant interaction between air pollution and cognitive performance was identified in 51 areas based on a two-tailed t-test at p < 0.05 FEW (voxel-level family-wise correction). In 29 of those areas, increased pollution and reduced cognition co-occur, and a pattern of central locations and primary roads emerges, suggesting a potentially harmful effect predicated by geography.","PeriodicalId":521229,"journal":{"name":"npj digital public health","volume":"1 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13061615/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680311","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}

引用次数: 0

Robust replication of associations across patient-mediated and provider-sourced EHR data in the All of Us research program. 在我们所有人的研究项目中，对患者介导和提供者来源的电子病历数据进行了强有力的关联复制。

npj digital public health Pub Date : 2026-01-01 Epub Date: 2026-09-07 DOI: 10.1038/s44482-026-00032-8

Chenjie Zeng, Bennett J Waxse, Joshua C Denny

{"title":"Robust replication of associations across patient-mediated and provider-sourced EHR data in the All of Us research program.","authors":"Chenjie Zeng, Bennett J Waxse, Joshua C Denny","doi":"10.1038/s44482-026-00032-8","DOIUrl":"10.1038/s44482-026-00032-8","url":null,"abstract":"The All of Us Research Program is assembling a nationwide cohort with electronic health record (EHR) resources through two complementary pathways: healthcare provider organization (HPO)-sourced EHRs and patient-mediated EHR (PME) contributed through patient portal linkages. The comparative research utility of these two data sources has not been systematically evaluated. Here, we compared PME and HPO EHRs with respect to disease prevalence, phenotype-phenotype associations, and replication of established genotype-phenotype associations using data from 19,703 PME and 373,887 HPO participants. We benchmarked disease prevalence against national estimates, conducted phenome-wide association studies for 10 commonly studied diseases, and tested replication of more than 5000 established genotype-phenotype associations across multiple ancestral groups. Disease prevalence was consistently lower in PME than in HPO, although prevalence of most diseases in both cohorts exceeded national estimates. Both data sources reproduced known phenotype-phenotype associations and showed moderate-to-strong concordance in effect sizes across the phenome. The overall genotype-phenotype replication rate was 49.1% (5399/10,999) in HPO and 5.9% (381/6482) in PME across ancestral groups, with effect sizes strongly correlated among well-powered associations (R = 0.84, P < 0.001). To disentangle the impact of sample size from data quality, we performed 1:1 propensity score matching. After matching, the replication gap in genotype-phenotype associations narrowed from 8.3-fold to 1.3-fold, with equivalent replication rates among adequately powered associations and strongly concordant effect sizes; comorbidity patterns were also consistent across all 10 diseases tested. These findings demonstrate that both data sources are valuable for clinical and genomic research and can inform other cohorts integrating provider-derived and patient-mediated EHRs.","PeriodicalId":521229,"journal":{"name":"npj digital public health","volume":"1 1","pages":"31"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13549936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148915134","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}

引用次数: 0