Subjects -> HEALTH AND SAFETY (Total: 1464 journals)
    - CIVIL DEFENSE (22 journals)
    - DRUG ABUSE AND ALCOHOLISM (87 journals)
    - HEALTH AND SAFETY (686 journals)
    - HEALTH FACILITIES AND ADMINISTRATION (358 journals)
    - OCCUPATIONAL HEALTH AND SAFETY (112 journals)
    - PHYSICAL FITNESS AND HYGIENE (117 journals)
    - WOMEN'S HEALTH (82 journals)

HEALTH AND SAFETY (686 journals)                  1 2 3 4 | Last

Showing 1 - 200 of 203 Journals sorted alphabetically
16 de Abril     Open Access   (Followers: 1)
ACM Transactions on Computing for Healthcare     Hybrid Journal  
Acta Scientiarum. Health Sciences     Open Access   (Followers: 2)
Adultspan Journal     Hybrid Journal   (Followers: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 11)
Advances in Public Health     Open Access   (Followers: 30)
Adversity and Resilience Science : Journal of Research and Practice     Hybrid Journal   (Followers: 3)
African Health Sciences     Open Access   (Followers: 7)
African Journal of Health Professions Education     Open Access   (Followers: 6)
Afrimedic Journal     Open Access   (Followers: 3)
Ageing & Society     Hybrid Journal   (Followers: 40)
Aging and Health Research     Open Access   (Followers: 3)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 10)
AJOB Empirical Bioethics     Hybrid Journal   (Followers: 3)
Akademika     Open Access  
American Journal of Family Therapy     Hybrid Journal   (Followers: 6)
American Journal of Health Economics     Full-text available via subscription   (Followers: 25)
American Journal of Health Education     Hybrid Journal   (Followers: 36)
American Journal of Health Promotion     Hybrid Journal   (Followers: 24)
American Journal of Health Sciences     Open Access   (Followers: 11)
American Journal of Health Studies     Full-text available via subscription   (Followers: 14)
American Journal of Preventive Medicine     Hybrid Journal   (Followers: 34)
American Journal of Public Health     Full-text available via subscription   (Followers: 208)
American Journal of Public Health Research     Open Access   (Followers: 31)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 9)
Annali dell'Istituto Superiore di Sanità     Open Access  
Annals of Global Health     Open Access   (Followers: 10)
Annals of Health Law     Open Access   (Followers: 7)
Applied Biosafety     Hybrid Journal   (Followers: 2)
Applied Ergonomics     Hybrid Journal   (Followers: 18)
Apuntes Universitarios     Open Access   (Followers: 1)
Archives of Community Medicine and Public Health     Open Access   (Followers: 2)
Archives of Medicine and Health Sciences     Open Access   (Followers: 5)
Archives of Suicide Research     Hybrid Journal   (Followers: 11)
Archivos de Prevención de Riesgos Laborales     Open Access  
ASA Monitor     Full-text available via subscription   (Followers: 18)
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 7)
Asia Pacific Journal of Health Management     Full-text available via subscription   (Followers: 4)
Asia-Pacific Journal of Public Health     Hybrid Journal   (Followers: 11)
Asian Journal of Gambling Issues and Public Health     Open Access   (Followers: 5)
Asian Journal of Medicine and Health     Open Access   (Followers: 1)
Asian Journal of Population Sciences     Open Access   (Followers: 9)
Asian Journal of Social Health and Behavior     Open Access   (Followers: 3)
Atención Primaria     Open Access   (Followers: 2)
Atención Primaria Práctica     Open Access  
Australasian Journal of Paramedicine     Open Access   (Followers: 8)
Australian Advanced Aesthetics     Full-text available via subscription   (Followers: 5)
Australian Family Physician     Full-text available via subscription   (Followers: 3)
Australian Indigenous HealthBulletin     Free   (Followers: 4)
Autism & Developmental Language Impairments     Open Access   (Followers: 15)
Bijzijn XL     Hybrid Journal  
Biograph-I : Journal of Biostatistics and Demographic Dynamic     Open Access   (Followers: 1)
Biomedical Safety & Standards     Full-text available via subscription   (Followers: 7)
Biosafety and Health     Open Access  
Biosalud     Open Access  
Birat Journal of Health Sciences     Open Access  
BLDE University Journal of Health Sciences     Open Access   (Followers: 1)
BMC Oral Health     Open Access   (Followers: 5)
BMC Pregnancy and Childbirth     Open Access   (Followers: 19)
Brazilian Journal of Medicine and Human Health     Open Access  
British Journal of Health Psychology     Hybrid Journal   (Followers: 52)
Buletin Penelitian Kesehatan     Open Access  
Buletin Penelitian Sistem Kesehatan     Open Access  
Cadernos de Educação, Saúde e Fisioterapia     Open Access  
Cadernos de Saúde     Open Access  
Cambridge Quarterly of Healthcare Ethics     Hybrid Journal   (Followers: 13)
Canadian Family Physician     Partially Free   (Followers: 14)
Canadian Journal of Community Mental Health     Full-text available via subscription   (Followers: 16)
Canadian Journal of Human Sexuality     Hybrid Journal   (Followers: 1)
Canadian Journal of Public Health     Hybrid Journal   (Followers: 26)
Cannabis and Cannabinoid Research     Hybrid Journal   (Followers: 1)
Carta Comunitaria     Open Access  
Case Reports in Women's Health     Open Access   (Followers: 4)
CASUS : Revista de Investigación y Casos en Salud     Open Access  
Central Asian Journal of Global Health     Open Access   (Followers: 2)
CES Medicina     Open Access  
CES Salud Pública     Open Access  
Child and Adolescent Obesity     Open Access   (Followers: 3)
Child's Nervous System     Hybrid Journal  
Childhood Obesity and Nutrition     Open Access   (Followers: 11)
Children     Open Access  
Chinese Journal of Physiology     Open Access   (Followers: 2)
CHRISMED Journal of Health and Research     Open Access   (Followers: 1)
Christian Journal for Global Health     Open Access   (Followers: 1)
Ciencia & Salud     Open Access  
Ciencia & Trabajo     Open Access  
Ciencia e Innovación en Salud     Open Access  
Ciencia y Cuidado     Open Access   (Followers: 1)
Ciencia y Salud     Open Access   (Followers: 1)
Ciencia, Tecnología y Salud     Open Access  
Cities & Health     Hybrid Journal   (Followers: 5)
Cleaner and Responsible Consumption     Open Access  
Clinical and Experimental Health Sciences     Open Access   (Followers: 1)
ClinicoEconomics and Outcomes Research     Open Access   (Followers: 1)
Clocks & Sleep     Open Access   (Followers: 1)
CME     Hybrid Journal   (Followers: 1)
Community Health     Open Access   (Followers: 6)
Conflict and Health     Open Access   (Followers: 8)
Contact (CTC)     Open Access  
Contraception and Reproductive Medicine     Open Access   (Followers: 2)
Cuaderno de investigaciones: semilleros andina     Open Access  
Current Opinion in Behavioral Sciences     Hybrid Journal   (Followers: 10)
Current Opinion in Environmental Science & Health     Hybrid Journal  
D Y Patil Journal of Health Sciences     Open Access   (Followers: 4)
Das österreichische Gesundheitswesen ÖKZ     Hybrid Journal  
Day Surgery Australia     Full-text available via subscription   (Followers: 2)
Design for Health     Hybrid Journal   (Followers: 1)
Digital Health     Open Access   (Followers: 11)
Disaster Medicine and Public Health Preparedness     Hybrid Journal   (Followers: 12)
Discover Social Science and Health     Open Access   (Followers: 5)
Diversity and Equality in Health and Care     Open Access   (Followers: 10)
Diversity of Research in Health Journal     Open Access   (Followers: 1)
Dramatherapy     Hybrid Journal   (Followers: 2)
Drogues, santé et société     Open Access   (Followers: 2)
Düzce Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi / Journal of Duzce University Health Sciences Institute     Open Access  
Early Childhood Research Quarterly     Hybrid Journal   (Followers: 23)
East African Journal of Public Health     Full-text available via subscription   (Followers: 3)
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity     Hybrid Journal   (Followers: 25)
EcoHealth     Hybrid Journal   (Followers: 5)
Education for Health     Open Access   (Followers: 9)
electronic Journal of Health Informatics     Open Access   (Followers: 7)
ElectronicHealthcare     Full-text available via subscription   (Followers: 2)
Emerging Trends in Drugs, Addictions, and Health     Open Access   (Followers: 1)
Ensaios e Ciência : Ciências Biológicas, Agrárias e da Saúde     Open Access  
Environmental Disease     Open Access   (Followers: 3)
Environmental Sciences Europe     Open Access   (Followers: 2)
Epidemics     Open Access   (Followers: 7)
EsSEX : Revista Científica     Open Access  
Estudios sociales : Revista de alimentación contemporánea y desarrollo regional     Open Access  
Ethics & Human Research     Hybrid Journal   (Followers: 4)
Ethics, Medicine and Public Health     Full-text available via subscription   (Followers: 7)
Ethiopian Journal of Health Development     Open Access   (Followers: 7)
Ethiopian Journal of Health Sciences     Open Access   (Followers: 6)
Ethnicity & Health     Hybrid Journal   (Followers: 16)
Eurasian Journal of Health Technology Assessment     Open Access   (Followers: 1)
EUREKA : Health Sciences     Open Access  
European Journal of Health Communication     Open Access  
European Journal of Investigation in Health, Psychology and Education     Open Access   (Followers: 5)
Evaluation & the Health Professions     Hybrid Journal   (Followers: 11)
Evidência - Ciência e Biotecnologia - Interdisciplinar     Open Access  
Exploratory Research in Clinical and Social Pharmacy     Open Access  
Expressa Extensão     Open Access  
F&S Reports     Open Access  
Face à face     Open Access  
Families, Systems, & Health     Full-text available via subscription   (Followers: 8)
Family & Community Health     Hybrid Journal   (Followers: 13)
Family Medicine and Community Health     Open Access   (Followers: 8)
Family Relations     Partially Free   (Followers: 11)
FASEB BioAdvances     Open Access  
Fatigue : Biomedicine, Health & Behavior     Hybrid Journal   (Followers: 3)
Finnish Journal of eHealth and eWelfare : Finjehew     Open Access  
Food and Public Health     Open Access   (Followers: 10)
Food Hydrocolloids for Health     Open Access  
Food Quality and Safety     Open Access   (Followers: 2)
Frontiers in Digital Health     Open Access   (Followers: 4)
Frontiers in Neuroergonomics     Open Access  
Frontiers in Public Health     Open Access   (Followers: 8)
Frontiers of Health Services Management     Partially Free   (Followers: 6)
Gaceta Sanitaria     Open Access   (Followers: 2)
Galen Medical Journal     Open Access  
Ganesha Journal     Open Access  
Gazi Sağlık Bilimleri Dergisi     Open Access  
Geospatial Health     Open Access   (Followers: 1)
Gestão e Desenvolvimento     Open Access  
Gesundheitsökonomie & Qualitätsmanagement     Hybrid Journal   (Followers: 7)
Giornale Italiano di Health Technology Assessment     Full-text available via subscription  
Global Advances in Health and Medicine     Open Access  
Global Challenges     Open Access   (Followers: 2)
Global Health : Science and Practice     Open Access   (Followers: 7)
Global Health Annual Review     Open Access   (Followers: 2)
Global Health Innovation     Open Access   (Followers: 4)
Global Health Journal     Open Access   (Followers: 2)
Global Health Promotion     Hybrid Journal   (Followers: 15)
Global Journal of Health Science     Open Access   (Followers: 5)
Global Journal of Public Health     Open Access   (Followers: 16)
Global Medical & Health Communication     Open Access   (Followers: 1)
Global Mental Health     Open Access   (Followers: 13)
Global Reproductive Health     Open Access  
Global Security : Health, Science and Policy     Open Access   (Followers: 1)
Global Transitions     Open Access   (Followers: 1)
Global Transitions Proceedings     Open Access   (Followers: 1)
Globalization and Health     Open Access   (Followers: 7)
Hacia la Promoción de la Salud     Open Access  
Hastane Öncesi Dergisi     Open Access  
Hastings Center Report     Hybrid Journal   (Followers: 7)
HCU Journal     Open Access  
HEADline     Hybrid Journal  
Health & Place     Hybrid Journal   (Followers: 22)
Health & Justice     Open Access   (Followers: 5)
Health : An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine     Hybrid Journal   (Followers: 19)
Health and Human Rights     Open Access   (Followers: 10)
Health and Social Care Chaplaincy     Hybrid Journal   (Followers: 9)
Health and Social Work     Hybrid Journal   (Followers: 63)
Health Behavior and Policy Review     Full-text available via subscription   (Followers: 5)
Health Behavior Research     Open Access   (Followers: 2)
Health Care Analysis     Hybrid Journal   (Followers: 12)
Health Equity     Open Access   (Followers: 4)
Health Information : Jurnal Penelitian     Open Access  
Health Information Management Journal     Hybrid Journal   (Followers: 26)
Health Notions     Open Access  

        1 2 3 4 | Last

Similar Journals
Journal Cover
Frontiers in Digital Health
Number of Followers: 4  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2673-253X
Published by Frontiers Media Homepage  [96 journals]
  • Which one' A suggested approach for evaluating digital health maturity
           models|Background|Objective|Methods|Results|Conclusion

    • Authors: Leanna Woods, Rebekah Eden, Rhona Duncan, Zack Kodiyattu, Sophie Macklin, Clair Sullivan
      Abstract: BackgroundDigital health maturity models allow healthcare organizations to evaluate digital health capability and to develop roadmaps for improving patient care through technology. There are many models available commercially for healthcare providers to use to assess their digital health maturity. Currently, there are limited evidence-based methods to assess the quality, utility, and efficacy of maturity models to select the most appropriate model for the given context.ObjectiveTo develop a framework to assess digital maturity models and facilitate recommendations for digital maturity model selection.MethodsA systematic, consultative, and iterative process was used. Literature analyses and a stakeholder needs analysis (n = 23) was conducted to develop content and design considerations. These considerations were incorporated into the initial version of the framework developed by researchers in a design workshop. External stakeholder review (n = 20) and improvements strengthened and finalized the framework.ResultsThe criteria of the framework include assessment of healthcare context, feasibility, integrity, completeness and actionability. Users can compare model performance in order to select the most appropriate model for their context.ConclusionThe framework provides healthcare stakeholders with a consistent and objective methodology to compare digital health maturity models, informing approaches to choosing a suitable model. This is a critical step as healthcare evolves towards a digital health system focused on improving the quality of care, reducing costs and improving the provider and consumer experience.
      PubDate: 2022-11-24T00:00:00Z
       
  • Assessing the quality of electronic medical records in academic hospitals:
           A multi-center study in Iran|Objective|Methods|Results|Conclusions

    • Authors: Hedieh Zabolinezhad, Saeid Eslami, Mohammad Reza Hassibian, Sara Dorri
      Abstract: ObjectiveThe present study aimed to assess the quality of electronic medical records (EMR) retrieved from hospital information systems (HIS) of three educational hospitals in Mashhad, Iran.MethodsIn this multi-center, cross-sectional study, inpatient electronic records collected from three academic hospitals were categorized into five data groups, namely demographics (D); care handler (CH), indicating the doers of the medical actions; diagnosis and treatment (DT); administrative and financial (AF); and laboratory and Para clinic (LP). Next, we asked 25 physicians from the three academic hospitals to determine data elements of medical research and education value (called research and educational data) in every group. Flowingly, the quality of the five data groups (completeness * accuracy) was reported for entire sampled data and those specified as research and educational data, based on the exact concordance between electronic medical records and corresponding paper records. HISRA, standing for HIS recording ability, was also assessed compared to data elements of standard paper forms.ResultsFor entire data, HISRA was 58.5%. In all hospitals, the highest data quality (more than 90%) belongs to D and AF data groups, and the lowest quality goes to CH and DT groups (less than 50%, and 60%, respectively). For research and educational data, HISRA was 47%, and the quality of D and AF data groups were the highest (nearly 100%), while CH and DT stood around 50% and 60% in order. The quality of the LP data group was almost 85% in all hospitals but hospital C (well over 30%). Total data quality for the hospitals was almost less than 70%.ConclusionsThe low quality of electronic medical records was mostly a result of incompleteness, while the accuracy was relatively good. Results showed that the HIS application development mainly focused on administrative and financial aspects rather than academic and clinical goals.
      PubDate: 2022-11-23T00:00:00Z
       
  • Editorial: Highlights in connected health 2021/22

    • Authors: Pradeep Nair, Panagiotis Evaggelos Antoniou, Esteban J. Pino, Giuseppe Fico
      PubDate: 2022-11-23T00:00:00Z
       
  • Person-based co-design of a decision aid template for people with a
           genetic predisposition to cancer|Background|Methods|Results|Conclusion

    • Authors: Kate Morton, Kelly Kohut, Lesley Turner, Sian Smith, Emma J. Crosbie, Neil Ryan, Chloe Grimmett, Diana M. Eccles, Claire Foster, The CanGene CanVar Patient Reference Panel; The International Lynch Decision Aid Stakeholder (LDAS Panel
      Abstract: BackgroundPeople with genetic predispositions to cancer are faced with complex health decisions about managing their risk. Decision aids can support informed, values-based decisions, alongside shared decision-making with a clinician. Whilst diagnoses of genetic predispositions to cancer are increasing, there is no scalable decision aid to support these people. This paper presents an accessible, relevant decision aid template which can be adapted for different predispositions to cancer.MethodsThe decision aid template was co-developed with 12 patients affected by cancer and informed by empirical and theoretical literature. In addition, consultations were conducted with a further 19 people with Lynch syndrome; a specific genetic predisposition to cancer. Clinical stakeholders were consulted regularly. Coulter's framework for decision aid development guided the process, and these activities were complemented by the International Patient Decision Aid Standards, and the latest evidence on communicating risk in decision aids. Programme theory was developed to hypothesise how the decision aid would support decision-making and contextual factors which could influence the process. Guiding principles co-developed with the patient panel described how the decision aid could effectively engage people.ResultsThe in-depth co-design process led to the identification of five core components of an accessible decision aid template for people with a genetic predisposition to cancer: defining the decision; option grid showing implications of each option; optional further details such as icon arrays to show tailored risk and personal narratives; values clarification activity; and a summary to facilitate discussion with a clinician. Specific guidance was produced describing how to develop each component. The guiding principles identified that the decision aid template needed to promote trust, reduce distress, and be comprehensive, personally relevant and accessible in order to engage people.ConclusionAdopting a co-design process helped ensure that the decision aid components were relevant and accessible to the target population. The template could have widespread application through being adapted for different genetic predispositions. The exact content should be co-designed with people from diverse backgrounds with lived experience of the specific predisposition to ensure it is as useful, engaging and relevant as possible.
      PubDate: 2022-11-23T00:00:00Z
       
  • Experiences of digital exclusion and the impact on health in people living
           with severe mental illness|Background|Methods|Results|Conclusion

    • Authors: Rachael Middle, Lindsay Welch
      Abstract: BackgroundThe covid-19 pandemic has accelerated the use of digital tools within health and social care services. However, for a range of different reasons, across the UK there continue to be people who are digitally excluded. People living with a disability have been identified as being more likely to be digitally excluded and many of these people, including people with severe mental illness (SMI) already experience health inequalities. Therefore, understanding the perceived impact digital exclusion has on health and potential facilitators of increased inclusion is an important area for research. This study had two aims: 1. To understand experiences of digital exclusion and the impact on health in people with SMI. 2. To explore the influences and mechanisms which would increase engagement with digital health tools.MethodsThis was an observational qualitative study, conducting focus groups (with the option of a 1:1 interview for those uncomfortable in groups) with nine people with severe mental illness.ResultsParticipant’s responses were themed in to four key areas in relation to digital exclusion and impact on health: 1. Reduced social connectedness, 2. The impact on wider determinants of health 3. Negative perception of self, 4. Disempowerment. Key facilitators for increased engagement with digital tools included, local digital skills support with mental health lived experience involvement in the delivery, digitally engaged social referents, access to digital tools and data, personalised and straightforward digital tools. In addition, increasing health and social care staff’s awareness of digital exclusion was also viewed as important in promoting inclusion.ConclusionThe research findings suggest that digital inclusion should be viewed as a wider determinant of health. Many of the identified consequences of exclusion are particularly important in relation to mental health and mental health recovery. This research suggests that identifying and addressing digital exclusion should be viewed as a priority for mental health services.
      PubDate: 2022-11-22T00:00:00Z
       
  • Machine learning and synthetic outcome estimation for individualised
           antimicrobial cessation

    • Authors: William J. Bolton, Timothy M. Rawson, Bernard Hernandez, Richard Wilson, David Antcliffe, Pantelis Georgiou, Alison H. Holmes
      Abstract: The decision on when it is appropriate to stop antimicrobial treatment in an individual patient is complex and under-researched. Ceasing too early can drive treatment failure, while excessive treatment risks adverse events. Under- and over-treatment can promote the development of antimicrobial resistance (AMR). We extracted routinely collected electronic health record data from the MIMIC-IV database for 18,988 patients (22,845 unique stays) who received intravenous antibiotic treatment during an intensive care unit (ICU) admission. A model was developed that utilises a recurrent neural network autoencoder and a synthetic control-based approach to estimate patients’ ICU length of stay (LOS) and mortality outcomes for any given day, under the alternative scenarios of if they were to stop vs. continue antibiotic treatment. Control days where our model should reproduce labels demonstrated minimal difference for both stopping and continuing scenarios indicating estimations are reliable (LOS results of 0.24 and 0.42 days mean delta, 1.93 and 3.76 root mean squared error, respectively). Meanwhile, impact days where we assess the potential effect of the unobserved scenario showed that stopping antibiotic therapy earlier had a statistically significant shorter LOS (mean reduction 2.71 days, p-value
      PubDate: 2022-11-21T00:00:00Z
       
  • Adoption of electronic medical records in developing countries—A
           multi-state study of the Nigerian healthcare system

    • Authors: Christie Divine Akwaowo, Humphrey Muki Sabi, Nnette Ekpenyong, Chimaobi M. Isiguzo, Nene Francis Andem, Omosivie Maduka, Emem Dan, Edidiong Umoh, Victory Ekpin, Faith-Michael Uzoka
      Abstract: Electronic medical records (EMR) are extensively used in developed countries to manage patient records and facilitate consultations and follow-up of treatment. This has resulted in centralised databases where different services and clinicians can quickly access patient data to support healthcare delivery. However, adoption and usage of EMR in developing countries is not common and, in most cases, non-existent. Clinicians are dependent on patients keeping their own records manually with no centralised database to manage and control the patient medical history. The key objective of this study was to investigate the propensity of clinicians and senior management personnel in healthcare facilities to adopt EMR and evaluate the contextual factors that impact or impede adoption. Using Davis's technology adoption model extended with other factors, this study determined if contextual or situational factors are associated with barriers that impede adoption of EMRs in developing countries. Using a cross-sectional quantitative research approach, a questionnaire was designed to collect data across four states in the Niger Delta region of Nigeria. Stratified random sampling was used to select healthcare facilities that participated in the survey and selection of respondents from each healthcare facility. Data was collected by trained research assistants and a total of 1,177 valid responses were received and analysed using factor analysis and multiple regression analysis. The results from the analysis show that usefulness, critical success factors, awareness and relative advantage significantly influence clinicians' intention to adopt EMRs. Surprisingly, infrastructure availability was not statistically significant. Meanwhile, risk and data security both negatively influence adoption, indicating that user perception of risk and safety of their data decreases their propensity to adopt EMRs. The results from this study suggests that usefulness and anticipated success factors in facilitating operations within healthcare facilities have a great influence on user adoption of EMRs. Awareness, training and education of users on the effectiveness of EMRs and their usefulness will increase adoption. The results will be beneficial in helping government and healthcare leaders formulate policies that will guide and support adoption of EMR. Other policy recommendations and suggestions for future research were also proffered.
      PubDate: 2022-11-21T00:00:00Z
       
  • Digital mental health interventions for chronic serious mental illness:
           Findings from a qualitative study on usability and scale-up of the Life
           Goals app for bipolar disorder

    • Authors: Amy Rusch, Isabel Carley, Pratiksha Badola, Celeste Liebrecht, Melvin McInnis, Kelly A. Ryan, Shawna N. Smith
      Abstract: The Life Goals (LG) application is an evidence-based self-management tool intended to help individuals with bipolar disorder (BD) by aligning symptom coping strategies with personal goals. The program has traditionally been offered in-person or via the web, but has recently been translated into an individualized, customizable mobile intervention to improve access to care and reduce provider burden. The LG app previously showed acceptability with ease of use and satisfaction with user interface, but less success in encouraging self-management. To better understand patient needs, our team conducted semi-structured interviews with 18 individuals with BD who used the LG app for 6 months. These interviews also investigated participant interest in sharing LG app data with their provider through an online dashboard. Using affinity mapping, a collaborative, qualitative data analysis technique, our team identified emerging common themes in the interviews. Through this process, team members identified 494 pieces of salient information from interviews that were mapped and translated into three main findings: (1) many participants found Mood Monitoring and LG modules helpful/interesting and stated the app overall had positive impacts on their mental health, (2) some components of the app were too rudimentary or impersonal to be beneficial, and (3) feedback was mixed regarding future implementation of an LG provider dashboard, with some participants seeing potential positive impacts and others hesitating due to perceived efficacy and privacy concerns. These findings can help researchers improve app-based interventions for individuals with BD by increasing app usage and improving care overall.
      PubDate: 2022-11-21T00:00:00Z
       
  • Personalised depression forecasting using mobile sensor data and
           ecological momentary assessment|Introduction|Methods|Results|Discussion

    • Authors: Alexander Kathan, Mathias Harrer, Ludwig Küster, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Maurice Gerczuk, Tianhao Yan, Srividya Tirunellai Rajamani, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller
      Abstract: IntroductionDigital health interventions are an effective way to treat depression, but it is still largely unclear how patients’ individual symptoms evolve dynamically during such treatments. Data-driven forecasts of depressive symptoms would allow to greatly improve the personalisation of treatments. In current forecasting approaches, models are often trained on an entire population, resulting in a general model that works overall, but does not translate well to each individual in clinically heterogeneous, real-world populations. Model fairness across patient subgroups is also frequently overlooked. Personalised models tailored to the individual patient may therefore be promising.MethodsWe investigate different personalisation strategies using transfer learning, subgroup models, as well as subject-dependent standardisation on a newly-collected, longitudinal dataset of depression patients undergoing treatment with a digital intervention (N=65 patients recruited). Both passive mobile sensor data as well as ecological momentary assessments were available for modelling. We evaluated the models’ ability to predict symptoms of depression (Patient Health Questionnaire-2; PHQ-2) at the end of each day, and to forecast symptoms of the next day.ResultsIn our experiments, we achieve a best mean-absolute-error (MAE) of 0.801 (25% improvement) for predicting PHQ-2 values at the end of the day with subject-dependent standardisation compared to a non-personalised baseline (MAE=1.062). For one day ahead-forecasting, we can improve the baseline of 1.539 by 12% to a MAE of 1.349 using a transfer learning approach with shared common layers. In addition, personalisation leads to fairer models at group-level.DiscussionOur results suggest that personalisation using subject-dependent standardisation and transfer learning can improve predictions and forecasts, respectively, of depressive symptoms in participants of a digital depression intervention. We discuss technical and clinical limitations of this approach, avenues for future investigations, and how personalised machine learning architectures may be implemented to improve existing digital interventions for depression.
      PubDate: 2022-11-18T00:00:00Z
       
  • Spontaneous speech feature analysis for alzheimer's disease screening
           using a random forest classifier

    • Authors: Lior Hason, Sri Krishnan
      Abstract: Detecting Alzheimer's disease (AD) and disease progression based on the patient's speech not the patient's speech data can aid non-invasive, cost-effective, real-time early diagnostic and repetitive monitoring in minimum time and effort using machine learning (ML) classification approaches. This paper aims to predict early AD diagnosis and evaluate stages of AD through exploratory analysis of acoustic features, non-stationarity, and non-linearity testing, and applying data augmentation techniques on spontaneous speech signals collected from AD and cognitively normal (CN) subjects. Evaluation of the proposed AD prediction and AD stages classification models using Random Forest classifier yielded accuracy rates of 82.2% and 71.5%. This will enrich the Alzheimer's research community with further understanding of methods to improve models for AD classification and addressing non-stationarity and non-linearity properties on audio features to determine the best-suited acoustic features for AD monitoring.
      PubDate: 2022-11-17T00:00:00Z
       
  • Real-world outcomes of an innovative digital therapeutic for treatment of
           panic disorder and PTSD: A 1,500 patient effectiveness
           study|Objective|Design|Setting|Participants|Intervention|Main outcome
           measures|Results|Conclusions

    • Authors: Robert N. Cuyler, Rahul Katdare, Simon Thomas, Michael J. Telch
      Abstract: ObjectivePrior clinical trials have shown consistent clinical benefit for Capnometry Guided Respiratory Intervention (CGRI), a prescription digital therapeutic for the treatment of panic disorder (PD) and post-traumatic stress disorder (PTSD). The purpose of this study is to report real-world outcomes in a series of patients treated with the intervention in clinical practice.DesignThis paper reports pre- and post-treatment self-reported symptom reduction, measures of respiratory rate and end-tidal carbon dioxide levels, drop-out and adherence rates drawn from an automatic data repository in a large real-world series of patients receiving CGRI for panic disorder and PTSD.SettingPatients used the intervention in their homes, supported by telehealth coaching.ParticipantsPatients meeting symptom criteria for panic disorder (n = 1,395) or posttraumatic stress disorder (n = 174) were treated following assessment by a healthcare professional.InterventionCapnometry Guided Respiratory Intervention is a 28-day home-based treatment that provides breath-to-breath feedback of respiratory rate and exhaled carbon dioxide levels, aimed at normalizing respiratory style and increasing patients’ mastery for coping with symptoms of stress, anxiety, and panic. Health coaches provide initial training with weekly follow up during the treatment episode. Remote data upload and monitoring facilitates individualized coaching and aggregate outcomes analysis.Main outcome measuresSelf-reported Panic Disorder Severity Scale (PDSS) and the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) scores were obtained at pre-treatment and post-treatment.ResultsPanic disorder (PD) patients showed a mean pre-to-post-treatment reduction in total PDSS scores of 50.2% (P 
      PubDate: 2022-11-17T00:00:00Z
       
  • Decision-centered design of a clinical decision support system for acute
           management of pediatric congenital heart disease|Background and
           Objectives|Methods|Results|Conclusion

    • Authors: Azadeh Assadi, Peter C. Laussen, Gabrielle Freire, Marzyeh Ghassemi, Patricia Trbovich
      Abstract: Background and ObjectivesChildren with congenital heart disease (CHD), have fragile hemodynamics and can deteriorate due to common childhood illnesses and the natural progression of their disease. During these acute periods of deterioration, these children often present to their local emergency departments (ED) where expertise in CHD is limited, and appropriate intervention is crucial to their survival. Previous studies identified that determining the appropriate intervention for CHD patients can be difficult for ED physicians, particularly since key components of effective decision making are not being met. Although key components of effective decision making for ED physicians have been identified, they have yet to be transformed into actionable guidance. We used decision centered design (DCD) to translate key components of decision making into decision requirements and associated design concepts, that we subsequently incorporated into a prototype clinical decision support system (CDSS).MethodsUsing framework analysis, transcripts from Critical Decision Method interviews of CHD experts and ED physicians were inductively coded to identify key decision requirements for ED physicians that are currently not well supported, and their associated design concepts. A design workshop was held to refine the identified key decision requirements and design concepts as well as to sketch information that would satisfy the identified requirements. These were iteratively incorporated into a prototype CDSS.ResultsThree decision requirements: (1) distinguish the patient's unique physiology based on their unique cardiac anatomy, (2) explicitly consider CHD specific differential diagnoses to allow a more structured reflection of diagnosis, and (3) select CHD appropriate interventions for each patient, were identified. These requirements along with design concepts and information needs identified through the design workshop were incorporated into the CDSS prototype.ConclusionWe identified key decision requirements and associated design concepts, that informed the design of a CDSS to provide actionable guidance for ED physicians when managing CHD patients. Meeting ED physicians' decision components with a CDSS requires the translation of their key decision requirements in its design. If not, we risk creating designs that interfere with clinician performance.
      PubDate: 2022-11-14T00:00:00Z
       
  • Acceptability and usability of a patient portal for men with prostate
           cancer in follow-up care|Background|Aim|Methods|Results|Conclusions

    • Authors: David O’Connor, Jane Frankland, Jo Watts, Hazel Brodie, Kevin Hamer, Claire Foster, Alison Richardson
      Abstract: BackgroundA stratified approach to cancer follow-up care, including remote monitoring and supported self-management for suitable patients, is increasingly recommended. Patient portals can facilitate such an approach, allowing access to results and information. There is limited understanding of the use of portals within this context.AimThis paper reports the acceptability and usability of a patient portal developed to facilitate a remote monitoring and supported self-management follow-up care programme for men with prostate cancer.MethodsA mixed methods evaluation, including analysis of service utilisation data, a survey of users' experiences and satisfaction, and telephone interviews of non-users' views and experiences.ResultsSixty percent of eligible patients registered to use the portal. Of these, 37% logged in at least once over a 6-month period and 52% over 12 months. Satisfaction among these users was reasonably high. Use of the portal in general was rated as very easy or easy by over 70% of respondents, and the majority felt the portal had helped them manage their condition in various ways. However, a large minority (40%) did not use the portal, with reasons for non-use including lack of access to computing facilities and lack of computer skills. Those who were older were less likely to register to use the portal.ConclusionsA large proportion of participants found the patient portal acceptable and easy to use. Reasons for non-use should be addressed in order to maximise system efficiencies and minimise inequalities in care, and the needs of specific groups should be taken into account.
      PubDate: 2022-11-14T00:00:00Z
       
  • Mobile phone access and preferences among medical inpatients at an urban
           Canadian hospital for post-discharge planning: A pre-COVID-19
           cross-sectional survey|Background|Methods|Results|Conclusion

    • Authors: Maryam AboMoslim, Abdulaa Babili, Niloufar Ghaseminejad-Tafreshi, Matthew Manson, Fanan Fattah, Samia El Joueidi, John A. Staples, Penny Tam, Richard T. Lester
      Abstract: BackgroundDigital health interventions are increasingly used for patient care, yet little data is available on the phone access type and usage preferences amongst medical ward inpatients to inform the most appropriate digital interventions post-discharge.MethodsTo identify mobile phone ownership, internet access, and cellular use preferences among medical inpatients, we conducted a researcher-administered survey of patients admitted to five internal medicine units at Vancouver General Hospital (VGH) in January 2020. The survey was administered over 2 days separated by a 2-week period.ResultsA total of 81 inpatients completed the questionnaire. Survey found that 85.2% of survey respondents had mobile phone access where 63.0% owned their own mobile phone, and 22.2% had access to a mobile phone via a proxy (or an authorized third-party) such as a family member. All participants with mobile phone access had cellular plans (i.e., phone and text); however, a quarter of respondents did not have data plans with internet access. Survey showed that 71.1% of males owned a mobile phone compared to only 52.8% of females. All participants at a “high” risk of readmission had access to a mobile phone, either as phone-owners or proxy-dependent users.ConclusionAccess to mobile phones among medical ward inpatients, 85.2%, was comparable to smartphone penetration rates amongst Canadians in 2019, 85.1%. More patients had cellular than data plans (i.e., internet and applications). Understanding patient-specific access is key to informing potential uptake of digital health interventions aimed at using patients' mobile phones (mHealth) from an effectiveness and equity lens.
      PubDate: 2022-11-11T00:00:00Z
       
  • Implementation of health technology: Directions for research and practice

    • Authors: JEWC (Lisette van Gemert-Pijnen
      PubDate: 2022-11-10T00:00:00Z
       
  • Multi-dimensional patient acuity estimation with longitudinal EHR
           tokenization and flexible transformer networks

    • Authors: Benjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
      Abstract: Transformer model architectures have revolutionized the natural language processing (NLP) domain and continue to produce state-of-the-art results in text-based applications. Prior to the emergence of transformers, traditional NLP models such as recurrent and convolutional neural networks demonstrated promising utility for patient-level predictions and health forecasting from longitudinal datasets. However, to our knowledge only few studies have explored transformers for predicting clinical outcomes from electronic health record (EHR) data, and in our estimation, none have adequately derived a health-specific tokenization scheme to fully capture the heterogeneity of EHR systems. In this study, we propose a dynamic method for tokenizing both discrete and continuous patient data, and present a transformer-based classifier utilizing a joint embedding space for integrating disparate temporal patient measurements. We demonstrate the feasibility of our clinical AI framework through multi-task ICU patient acuity estimation, where we simultaneously predict six mortality and readmission outcomes. Our longitudinal EHR tokenization and transformer modeling approaches resulted in more accurate predictions compared with baseline machine learning models, which suggest opportunities for future multimodal data integrations and algorithmic support tools using clinical transformer networks.
      PubDate: 2022-11-09T00:00:00Z
       
  • Unsupervised mobile app-based cognitive testing in a population-based
           study of older adults born 1944|Background|Method|Result|Conclusion

    • Authors: Fredrik Öhman, David Berron, Kathryn V. Papp, Silke Kern, Johan Skoog, Timothy Hadarsson Bodin, Anna Zettergren, Ingmar Skoog, Michael Schöll
      Abstract: BackgroundMobile app-based tools have the potential to yield rapid, cost-effective, and sensitive measures for detecting dementia-related cognitive impairment in clinical and research settings. At the same time, there is a substantial need to validate these tools in real-life settings. The primary aim of this study was thus to evaluate the feasibility, validity, and reliability of mobile app-based tasks for assessing cognitive function in a population-based sample of older adults.MethodA total of 172 non-demented (Clinical Dementia Rating 0 and 0.5) older participants (aged 76–77) completed two mobile app-based memory tasks—the Mnemonic Discrimination Task for Objects and Scenes (MDT-OS) and the long-term (24 h) delayed Object-In-Room Recall Task (ORR-LDR). To determine the validity of the tasks for measuring relevant cognitive functions in this population, we assessed relationships with conventional cognitive tests. In addition, psychometric properties, including test-retest reliability, and the participants’ self-rated experience with mobile app-based cognitive tasks were assessed.ResultMDT-OS and ORR-LDR were weakly-to-moderately correlated with the Preclinical Alzheimer's Cognitive Composite (PACC5) (r = 0.3–0.44, p 
      PubDate: 2022-11-08T00:00:00Z
       
  • Editorial: Digital health adoption: Looking beyond the role of technology

    • Authors: Yiannis Kyratsis, Harry Scarbrough, Amanda Begley, Jean-Louis Denis
      PubDate: 2022-11-07T00:00:00Z
       
  • The role of home medication storage location in increasing medication
           adherence for middle-aged and older
           adults|Background|Objective|Methods|Results|Conclusions

    • Authors: Lisa Gualtieri, Eden Shaveet, Brandon Estime, Avi Patel
      Abstract: BackgroundOver 50% of US adults do not take their prescriptions as prescribed, which is responsible for 33%–69% of hospital admissions and 125,000 deaths annually. Given the higher prevalence of prescription drug use among middle-aged and older adult populations, promoting medication adherence is of particular importance with these age groups. Two speculated facilitators of medication adherence are home medication storage location and the use of digital health devices.ObjectiveOur objective was to use survey data to investigate the associations between medication storage location and medication adherence among adults 40 years and older. Additionally, we aimed to report preliminary findings about the associations between use of devices and medication adherence in this same population.MethodsWe conducted primary analysis of data sampled from a home medication management survey deployed in November 2021 (n = 580). We conducted exploratory analyses by way of chi2 tests and creation of bivariate logistic regression models.ResultsThe most commonly used storage locations by our sample were nightstand drawers (27%), kitchen cabinets (25%), and atop bedroom nightstands (23%). Several medication storage locations were significantly associated with decreased odds of having ever forgotten to take a medication, including kitchen drawers, in refrigerators, atop bedroom nightstands, in nightstand drawers, and backpacks, purses, or bags. Two home medication storage locations were significantly associated with increased odds of having ever forgotten to take a medication: kitchen cabinets and bathroom vanities. Further, most (94%) survey respondents indicated they would be receptive to guidance about where to store their medications.ConclusionsGiven that some home medication storage locations are associated with adherence, an intervention to guide storage location selection may support increased adherence, especially with high receptivity expressed for such guidance. Increased adherence may also accrue from device usage paired with optimized home medication storage location. We plan to investigate that further, as well as how new device designs can incorporate contextual cues related to location to promote medication adherence more effectively in middle aged and older adults.
      PubDate: 2022-11-04T00:00:00Z
       
  • Test-Retest reliability and preliminary reliable change estimates for Sway
           Balance tests administered remotely in community-dwelling
           adults|Objective|Method|Results|Conclusions

    • Authors: Jaclyn B. Caccese, Elizabeth Teel, Ryan Van Patten, Mélissa A. Muzeau, Grant L. Iverson, Heidi A. VanRavenhorst-Bell
      Abstract: ObjectiveImpaired balance and postural stability can occur with advanced age, following traumatic brain injury, in association with neurological disorders and diseases, and as the result of acute or chronic orthopedic problems. The remote assessment of balance and postural stability could be of value in clinical practice and research. We examined the test-retest reliability and reliable change estimates for Sway Balance Mobile Application tests (Sway Medical, Tulsa OK, USA) administered remotely from the participant's home.MethodPrimarily young, healthy community-dwelling adults completed Sway Balance Mobile Application tests remotely on their personal mobile devices once per week for three consecutive weeks while being supervised with a video-based virtual connection. Sway Balance tests include five stances (i.e., feet together, tandem right foot forward, tandem left foot forward, single leg right foot, single leg left foot), which are averaged to compute a Sway Balance composite score from 0 to 100, with higher scores indicating better postural stability. We examined test-retest reliability (measured with intraclass correlation coefficients, ICCs) and preliminary reliable change estimates for 70%, 80%, and 90% confidence intervals.ResultsParticipants included 55 healthy adults (ages = 26.7 ± 9.9 years, interquartile range = 20–30, range = 18–58; 38 [69%] women). Test-retest reliability for the Sway Balance composite score across three weeks was.88. Test-retest reliability for individual stances ranged from 62 to 83 (all ps 
      PubDate: 2022-11-02T00:00:00Z
       
 
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