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  1. Article ; Online: Supporting Autonomous Motivation for Physical Activity With Chatbots During the COVID-19 Pandemic: Factorial Experiment.

    Wlasak, Wendy / Zwanenburg, Sander Paul / Paton, Chris

    JMIR formative research

    2023  Volume 7, Page(s) e38500

    Abstract: Background: Although physical activity can mitigate disease trajectories and improve and sustain mental health, many people have become less physically active during the COVID-19 pandemic. Personal information technology, such as activity trackers and ... ...

    Abstract Background: Although physical activity can mitigate disease trajectories and improve and sustain mental health, many people have become less physically active during the COVID-19 pandemic. Personal information technology, such as activity trackers and chatbots, can technically converse with people and possibly enhance their autonomous motivation to engage in physical activity. The literature on behavior change techniques (BCTs) and self-determination theory (SDT) contains promising insights that can be leveraged in the design of these technologies; however, it remains unclear how this can be achieved.
    Objective: This study aimed to evaluate the feasibility of a chatbot system that improves the user's autonomous motivation for walking based on BCTs and SDT. First, we aimed to develop and evaluate various versions of a chatbot system based on promising BCTs. Second, we aimed to evaluate whether the use of the system improves the autonomous motivation for walking and the associated factors of need satisfaction. Third, we explored the support for the theoretical mechanism and effectiveness of various BCT implementations.
    Methods: We developed a chatbot system using the mobile apps Telegram (Telegram Messenger Inc) and Google Fit (Google LLC). We implemented 12 versions of this system, which differed in 3 BCTs: goal setting, experimenting, and action planning. We then conducted a feasibility study with 102 participants who used this system over the course of 3 weeks, by conversing with a chatbot and completing questionnaires, capturing their perceived app support, need satisfaction, physical activity levels, and motivation.
    Results: The use of the chatbot systems was satisfactory, and on average, its users reported increases in autonomous motivation for walking. The dropout rate was low. Although approximately half of the participants indicated that they would have preferred to interact with a human instead of the chatbot, 46.1% (47/102) of the participants stated that the chatbot helped them become more active, and 42.2% (43/102) of the participants decided to continue using the chatbot for an additional week. Furthermore, the majority thought that a more advanced chatbot could be very helpful. The motivation was associated with the satisfaction of the needs of competence and autonomy, and need satisfaction, in turn, was associated with the perceived system support, providing support for SDT underpinnings. However, no substantial differences were found across different BCT implementations.
    Conclusions: The results provide evidence that chatbot systems are a feasible means to increase autonomous motivation for physical activity. We found support for SDT as a basis for the design, laying a foundation for larger studies to confirm the effectiveness of the selected BCTs within chatbot systems, explore a wider range of BCTs, and help the development of guidelines for the design of interactive technology that helps users achieve long-term health benefits.
    Language English
    Publishing date 2023-01-25
    Publishing country Canada
    Document type Journal Article
    ISSN 2561-326X
    ISSN (online) 2561-326X
    DOI 10.2196/38500
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Massive open online course for health informatics education.

    Paton, Chris

    Healthcare informatics research

    2014  Volume 20, Issue 2, Page(s) 81–87

    Abstract: Objectives: This paper outlines a new method of teaching health informatics to large numbers of students from around the world through a Massive Open Online Course (MOOC).: Methods: The Health Informatics Forum is a social networking site for ... ...

    Abstract Objectives: This paper outlines a new method of teaching health informatics to large numbers of students from around the world through a Massive Open Online Course (MOOC).
    Methods: The Health Informatics Forum is a social networking site for educating health informatics students and professionals [corrected]. It is running a MOOC for students from around the world that uses creative commons licenced content funded by the US government and developed by five US universities. The content is delivered through narrated lectures with slides that can be viewed online with discussion threads on the forum for class interactions. Students can maintain a professional profile, upload photos and files, write their own blog posts and post discussion threads on the forum.
    Results: The Health Informatics Forum MOOC has been accessed by 11,316 unique users from 127 countries from August 2, 2012 to January 24, 2014. Most users accessed the MOOC via a desktop computer, followed by tablets and mobile devices and 55% of users were female. Over 400,000 unique users have now accessed the wider Health Informatics Forum since it was established in 2008.
    Conclusions: Advances in health informatics and educational technology have both created a demand for online learning material in health informatics and a solution for providing it. By using a MOOC delivered through a social networking platform it is hoped that high quality health informatics education will be able to be delivered to a large global audience of future health informaticians without cost.
    Language English
    Publishing date 2014-04-30
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 2619923-3
    ISSN 2093-369X ; 2093-3681
    ISSN (online) 2093-369X
    ISSN 2093-3681
    DOI 10.4258/hir.2014.20.2.81
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis.

    Muinga, Naomi / Tuti, Timothy / Mwaniki, Paul / Gicheha, Edith / Paton, Chris / Beňová, Lenka / English, Mike

    PLOS global public health

    2023  Volume 3, Issue 11, Page(s) e0002440

    Abstract: Multi-professional teams care for sick newborns, but nurses are the primary caregivers, making nursing care documentation essential for delivering high-quality care, fostering teamwork, and improving patient outcomes. We report on an evaluation of vital ... ...

    Abstract Multi-professional teams care for sick newborns, but nurses are the primary caregivers, making nursing care documentation essential for delivering high-quality care, fostering teamwork, and improving patient outcomes. We report on an evaluation of vital signs documentation following implementation of the comprehensive newborn monitoring chart using interrupted time series analysis and a review of filled charts. We collected post-admission vital signs (Temperature (T), Pulse (P), Respiratory Rate (R) and Oxygen Saturation (S)) documentation frequencies of 43,719 newborns with a length of stay > 48 hours from 19 public hospitals in Kenya between September 2019 and October 2021. The primary outcome was an ordinal categorical variable (no monitoring, monitoring 1 to 3 times, 4 to 7 times and 8 or more times) based on the number of complete sets of TPRS. Descriptive analyses explored documentation of at least one T, P, R and S. The percentage of patients in the no-monitoring category decreased from 68.5% to 43.5% in the post-intervention period for TPRS monitoring. The intervention increased the odds of being in a higher TPRS monitoring category by 4.8 times (p<0.001) and increased the odds of higher monitoring frequency for each vital sign, with S recording the highest odds. Sicker babies were likely to have vital signs documented in a higher monitoring category and being in the NEST360 program increased the odds of frequent vital signs documentation. However, by the end of the intervention period, nearly half of the newborns did not have a single full set of TPRS documented and there was heterogenous hospital performance. A review of 84 charts showed variable documentation, with only one chart being completed as designed. Vital signs documentation fell below standards despite increased documentation odds. More sustained interventions are required to realise the benefits of the chart and hospital-specific performance data may help customise interventions.
    Language English
    Publishing date 2023-11-01
    Publishing country United States
    Document type Journal Article
    ISSN 2767-3375
    ISSN (online) 2767-3375
    DOI 10.1371/journal.pgph.0002440
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Open Source Software in Healthcare: International Case Series from the IMIA Open Source Working Group.

    Paton, Chris / Amarakoon, Pamod / Braa, Jørn / Kobayashi, Shinji / Marcelo, Alvin / Kane, Tom / Fraser, Hamish / Hannan, Terry

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1266–1270

    Abstract: In this case series, we demonstrate how open-source software has been widely adopted as the primary health information system in many low- and middle-income countries, and for government-developed applications in high-income settings. We discuss the ... ...

    Abstract In this case series, we demonstrate how open-source software has been widely adopted as the primary health information system in many low- and middle-income countries, and for government-developed applications in high-income settings. We discuss the concept of Digital Global Goods and how the general approach of releasing software developed through public funding under open-source licences could improve the delivery of healthcare in all settings through increased transparency and collaboration as well as financial efficiency.
    MeSH term(s) Health Facilities ; Government ; Health Information Systems ; Software ; Delivery of Health Care
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Scoping review of interventions to improve continuity of postdischarge care for newborns in LMICs.

    Grewal, Gulraj / Fuller, Sebastian S / Rababeh, Asma / Maina, Michuki / English, Mike / Paton, Chris / Papoutsi, Chrysanthi

    BMJ global health

    2024  Volume 9, Issue 1

    Abstract: Introduction: Neonatal mortality remains significant in low-income and middle-income countries (LMICs) with in-hospital mortality rates similar to those following discharge from healthcare facilities. Care continuity interventions have been suggested as ...

    Abstract Introduction: Neonatal mortality remains significant in low-income and middle-income countries (LMICs) with in-hospital mortality rates similar to those following discharge from healthcare facilities. Care continuity interventions have been suggested as a way of reducing postdischarge mortality by better linking care between facilities and communities. This scoping review aims to map and describe interventions used in LMICs to improve care continuity for newborns after discharge and examine assumptions underpinning the design and delivery of continuity.
    Methods: We searched seven databases (MEDLINE, CINAHL, Scopus, Web of Science, EMBASE, Cochrane library and (Ovid) Global health). Publications with primary data on interventions focused on continuity of care for newborns in LMICs were included. Extracted data included year of publication, study location, study design and type of intervention. Drawing on relevant theoretical frameworks and classifications, we assessed the extent to which interventions adopted participatory methods and how they attempted to establish continuity.
    Results: A total of 65 papers were included in this review; 28 core articles with rich descriptions were prioritised for more in-depth analysis. Most articles adopted quantitative designs. Interventions focused on improving continuity and flow of information via education sessions led by community health workers during home visits. Extending previous frameworks, our findings highlight the importance of interpersonal continuity in LMICs where communication and relationships between family members, healthcare workers and members of the wider community play a vital role in creating support systems for postdischarge care. Only a small proportion of studies focused on high-risk babies. Some studies used participatory methods, although often without meaningful engagement in problem definition and intervention implementation.
    Conclusion: Efforts to reduce neonatal mortality and morbidity should draw across multiple continuity logics (informational, relational, interpersonal and managerial) to strengthen care after hospital discharge in LMIC settings and further focus on high-risk neonates, as they often have the worst outcomes.
    MeSH term(s) Infant, Newborn ; Infant ; Humans ; Aftercare ; Developing Countries ; Patient Discharge ; Communication ; Community Health Workers
    Language English
    Publishing date 2024-01-10
    Publishing country England
    Document type Review ; Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2059-7908
    ISSN 2059-7908
    DOI 10.1136/bmjgh-2023-012894
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: An Open Science Approach to Artificial Intelligence in Healthcare.

    Paton, Chris / Kobayashi, Shinji

    Yearbook of medical informatics

    2019  Volume 28, Issue 1, Page(s) 47–51

    Abstract: Objectives: Artificial Intelligence (AI) offers significant potential for improving healthcare. This paper discusses how an "open science" approach to AI tool development, data sharing, education, and research can support the clinical adoption of AI ... ...

    Abstract Objectives: Artificial Intelligence (AI) offers significant potential for improving healthcare. This paper discusses how an "open science" approach to AI tool development, data sharing, education, and research can support the clinical adoption of AI systems.
    Method: In response to the call for participation for the 2019 International Medical Informatics Association (IMIA) Yearbook theme issue on AI in healthcare, the IMIA Open Source Working Group conducted a rapid review of recent literature relating to open science and AI in healthcare and discussed how an open science approach could help overcome concerns about the adoption of new AI technology in healthcare settings.
    Results: The recent literature reveals that open science approaches to AI system development are well established. The ecosystem of software development, data sharing, education, and research in the AI community has, in general, adopted an open science ethos that has driven much of the recent innovation and adoption of new AI techniques. However, within the healthcare domain, adoption may be inhibited by the use of "black-box" AI systems, where only the inputs and outputs of those systems are understood, and clinical effectiveness and implementation studies are missing.
    Conclusions: As AI-based data analysis and clinical decision support systems begin to be implemented in healthcare systems around the world, further openness of clinical effectiveness and mechanisms of action may be required by safety-conscious healthcare policy-makers to ensure they are clinically effective in real world use.
    MeSH term(s) Artificial Intelligence ; Classification ; Datasets as Topic ; Decision Support Systems, Clinical ; Delivery of Health Care ; Information Dissemination ; Machine Learning
    Language English
    Publishing date 2019-04-25
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2251229-9
    ISSN 2364-0502 ; 0026-1270 ; 0943-4747
    ISSN (online) 2364-0502
    ISSN 0026-1270 ; 0943-4747
    DOI 10.1055/s-0039-1677898
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Data for tracking SDGs: challenges in capturing neonatal data from hospitals in Kenya.

    Hagel, Christiane / Paton, Chris / Mbevi, George / English, Mike

    BMJ global health

    2020  Volume 5, Issue 3, Page(s) e002108

    Abstract: Background: Target 3.2 of the United Nations Sustainable Development Goals (SDGs) is to reduce neonatal mortality. In low-income and middle-income countries (LMICs), the District Health Information Software, V.2 (DHIS2) is widely used to help improve ... ...

    Abstract Background: Target 3.2 of the United Nations Sustainable Development Goals (SDGs) is to reduce neonatal mortality. In low-income and middle-income countries (LMICs), the District Health Information Software, V.2 (DHIS2) is widely used to help improve indicator data reporting. There are few reports on its use for collecting neonatal hospital data that are of increasing importance as births within facilities increase. To address this gap, we investigated implementation experiences of DHIS2 in LMICs and mapped the information flow relevant for neonatal data reporting in Kenyan hospitals.
    Methods: A narrative review of published literature and policy documents from LMICs was conducted. Information gathered was used to identify the challenges around DHIS2 and to map information flows from healthcare facilities to the national level. Two use cases explore how newborn data collection and reporting happens in hospitals. The results were validated, adjusted and system challenges identified.
    Results: Literature and policy documents report that DHIS2 is a useful tool with strong technical capabilities, but significant challenges can emerge with the implementation. Visualisations of information flows highlight how a complex, people-based and paper-based subsystem for inpatient information capture precedes digitisation. Use cases point to major challenges in these subsystems in accurately identifying newborn deaths and appropriate data for the calculation of mortality even in hospitals.
    Conclusions: DHIS2 is a tool with potential to improve availability of health information that is key to health systems, but it critically depends on people-based and paper-based subsystems. In hospitals, the subsystems are subject to multiple micro level challenges. Work is needed to design and implement better standardised information processes, recording and reporting tools, and to strengthen the information system workforce. If the challenges are addressed and data quality improved, DHIS2 can support countries to track progress towards the SDG target of improving neonatal mortality.
    MeSH term(s) Hospitals ; Humans ; Infant, Newborn ; Kenya/epidemiology ; Sustainable Development
    Language English
    Publishing date 2020-03-31
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ISSN 2059-7908
    ISSN 2059-7908
    DOI 10.1136/bmjgh-2019-002108
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Mobile Health (mHealth) in Low- and Middle-Income Countries.

    McCool, Judith / Dobson, Rosie / Whittaker, Robyn / Paton, Chris

    Annual review of public health

    2021  Volume 43, Page(s) 525–539

    Abstract: This article reflects on current trends and proposes new considerations for the future of mobile technologies for health (mHealth). Our focus is predominantly on the value of and concerns with regard to the application of digital health within low- and ... ...

    Abstract This article reflects on current trends and proposes new considerations for the future of mobile technologies for health (mHealth). Our focus is predominantly on the value of and concerns with regard to the application of digital health within low- and middle-income countries (LMICs). It is in LMICs and marginalized communities that mHealth (within the wider scope of digital health) could be most useful and valuable. Peer-reviewed literature on mHealth in LMICs provides reassurance of this potential, often reflecting on the ubiquity of mobile phones and ever-increasing connectivity globally, reaching remote or otherwise disengaged populations. Efforts to adapt successful programs for LMIC contexts and populations are only just starting to reap rewards. Private-sector investment in mHealth offers value through enhanced capacity and advances in technology as well as the ability to meet increasing consumer demand for real-time, accessible, convenient, and choice-driven health care options. We examine some of the potential considerations associated with a private-sector investment, questioning whether a core of transparency, local ownership, equity, and safety is likely to be upheld in the current environment of health entrepreneurship.
    MeSH term(s) Cell Phone ; Delivery of Health Care ; Developing Countries ; Humans ; Income ; Telemedicine
    Language English
    Publishing date 2021-10-14
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 760917-6
    ISSN 1545-2093 ; 0163-7525
    ISSN (online) 1545-2093
    ISSN 0163-7525
    DOI 10.1146/annurev-publhealth-052620-093850
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Implementing a comprehensive newborn monitoring chart: Barriers, enablers, and opportunities.

    Muinga, Naomi / Abejirinde, Ibukun-Oluwa Omolade / Benova, Lenka / Paton, Chris / English, Mike / Zweekhorst, Marjolein

    PLOS global public health

    2022  Volume 2, Issue 7, Page(s) e0000624

    Abstract: Documenting inpatient care is largely paper-based and it facilitates team communication and future care planning. However, studies show that nursing documentation remains suboptimal especially for newborns, necessitating introduction of standardised ... ...

    Abstract Documenting inpatient care is largely paper-based and it facilitates team communication and future care planning. However, studies show that nursing documentation remains suboptimal especially for newborns, necessitating introduction of standardised paper-based charts. We report on a process of implementing a comprehensive newborn monitoring chart and the perceptions of health workers in a network of hospitals in Kenya. The chart was launched virtually in July 2020 followed by learning meetings with nurses and the research team. This is a qualitative study involving document review, individual in-depth interviews with nurses and paediatricians and a focus group discussion with data clerks. The chart was co-designed by the research team and hospital staff then implemented using a trainer of trainers' model where the nurses-in-charge were trained on how to use the chart and they in turn trained their staff. Training at the hospital was delivered by the nurse-in-charge and/or paediatrician through a combined training with all staff or one-on-one training. The chart was well received with health workers reporting reduced writing, consolidated information, and improved communication as benefits. Implementation was facilitated by individual and team factors, complementary projects, and the removal of old charts. However, challenges arose related to the staff and work environment, inadequate supply of charts, alternative places to document, and inadequate equipment. The participants suggested that future implementation should be accompanied by mentorship or close follow-up, peer experience sharing, training at the hospital and in pre-service institutions and wider stakeholder engagement. Findings show that there are opportunities to improve the implementation process by clarifying roles relating to the filing system, improving the chart supply process, staff induction and specifying a newborn patient file. The chart did not meet the need for supporting documentation of long stay patients presenting an opportunity to explore digital solutions that might provide more flexibility and features.
    Language English
    Publishing date 2022-07-25
    Publishing country United States
    Document type Journal Article
    ISSN 2767-3375
    ISSN (online) 2767-3375
    DOI 10.1371/journal.pgph.0000624
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Tracing your Family History on the Internet

    Paton, Chris

    A Guide for Family Historians

    (Tracing Your Ancestors)

    2014  

    Abstract: This fully revised second edition of Chris Paton''s best-selling guide is essential reading if you want to make effective use of the internet in your family history research. Every day new records and resources are placed online and new methods of ... ...

    Series title Tracing Your Ancestors
    Abstract This fully revised second edition of Chris Paton''s best-selling guide is essential reading if you want to make effective use of the internet in your family history research. Every day new records and resources are placed online and new methods of sharing research and communicating across cyberspace become available, and his handbook is the perfect introduction to them. He has checked and updated all the links and other sources, added new ones, written a new introduction and substantially expanded the social networking section. Never before has it been so easy to research family history using
    Language English
    Size Online-Ressource (207 p)
    Edition 2nd ed
    Publisher Pen and Sword
    Publishing place Havertown
    Document type Book ; Online
    Note Description based upon print version of record
    ISBN 9781783030569 ; 1783030569
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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