What physical examinations are observed during an in-person GP consultation? Automatic extraction using a text-based approach.

OBJECTIVES: Teleconsultation is anticipated to have a long-term role in primary care. However, conducting virtual physical examinations is a well-known limitation. To anticipate unmet needs general practitioners (GPs) and patients may experience during teleconsultation, this study aims to automatically identify physical examinations typically conducted during in-person GP consultation. MATERIAL AND METHODS: This study utilizes 281 GP in-person consultations (de-identified transcripts & video recordings) within UK general practices, where 169 eligible ones were included in this study. We propose an automated text-based approach using regular expressions on keywords in GP-patient consultation dialogue (e.g., "roll up your sleeves") to identify physical examinations (e.g. blood pressure measurement). This approach involves the construction of conceptual diagrams to visually inspect the relationship between keywords and physical examinations, syntax analysis to identify patterns between keywords and generate regular expressions, and the use of these regular expressions in consultation transcripts to detect potential instances of physical examinations, where matching video frames were subsequently retrieved. The performance of our automated text-based approach is compared to manual classification by 2 independent researchers using 5-fold cross-validation (precision, recall, and F1-score). RESULTS: Among the 169 eligible GP in-person consultations, 133 (79%) required a physical examination, while the other 33 visits were for psychological reasons. Out of these 133 consultations, a total of 283 physical examinations were observed, with 21 instances conducted behind a curtain. We identified 42 distinct types of physical examinations from these 283 instances, grouped into 10 physical examination categories based on body areas and physical artefacts. The most frequent category of physical examinations is Vital Signs 26.80% (76/283). Overall, blood pressure measurement (also belonging to the Vital Signs category) is the most frequent physical examination at 59.2% (45/76). The comparison between manual classification and the regular expression model demonstrates an average precision of 88.3%, recall of 78.9%, and an F1-score of 83.3% from 5-fold cross-validation, providing significant insights into the frequency and types of physical examinations conducted during in-person GP consultations. CONCLUSION: By using regular expressions in consultation dialogues between GPs and patients, we can automatically identify physical examinations in GP consultations with a precision of 88.3%. Findings from this study, i.e. physical examinations during in-person GP consultations, provide insights into areas where GPs and patients may need support during teleconsultation.

Automated Extraction of Physical Examination Interactions in General Practice Consultations: A Multi-Modal Using Images and Text Base Approaches.

Teleconsultation, which proliferated during the COVID-19 pandemic, is projected to keep evolving in primary care; however, virtual physical examinations continue to hinder telehealth development. This study aimed to automatically recognise physical examinations performed during in-person GP consultations by text and image-based recognition. Text-based methods used regular expressions on transcript keywords to identify physical examinations, while image-based methods utilised transfer learning (fine-tuning the Resnet-18 model) to detect physical examination interactions.

A Temporospatial Analysis of Activity Patterns for Fall Risk Assessment in Older Adults with Comorbid Type 2 Diabetes.

This study explores how daily activities, including duration and location within the home, affect fall risk in older adults with type 2 diabetes. Body-worn cameras on 26 participants provided data on activity (e.g. exercise), time and location (kitchen, living room). Demographics and health factors were considered to understand their influence. By visualising activity patterns, this study aimed to identify behaviours linked to falls to inform personalised fall prevention strategies and digital technologies for independent living.

Virtual physical examination in teleconsultation: A scoping review.

BACKGROUND: The conduct of virtual physical examination has provided significant information for the diagnosis during a teleconsultation session, especially during the COVID-19 pandemic, where in-person physical examinations have been greatly compromised. OBJECTIVE: The aim of this scoping review was to provide a comprehensive overview of the available evidence concerning virtual physical examination (VPE) in all healthcare settings during the COVID-19 pandemic. The review focuses on types of VPE, technological and non-technological approaches, patient and clinician experiences, as well as barriers and facilitators of VPE. METHODS: A literature search was conducted across three databases, namely MEDLINE, Embase, and Scopus. Only studies in the English language with primary research data collected from December 2019 to January 2023 were included. A narrative analysis, highlighting patients' and clinicians' experiences, was conducted on the included studies. This scoping review was reported using The PRISMA extension for scoping reviews (PRISMA-ScR) Checklist. RESULTS: A total of 25 articles meeting eligibility criteria were identified. Three major types of VPE included were musculoskeletal, head and neck, and chest exams. Sixteen studies involved specific technological aids, while three studies involved non-technological aids. Patients found VPE helped them to better assess their disease conditions, or aided their clinicians' understanding of their conditions. Clinicians also reported that VPE had provided enough clinically relevant information for decision-making in 2 neurological evaluations. Barriers to conducting VPE included technological challenges, efficacy concerns, confidence level of assistants, as well as patient health conditions, health literacy, safety, and privacy. CONCLUSIONS: Patients found virtual physical examination (VPE) helpful in understanding their own conditions, and clinicians found it useful for better assessing patient's conditions. From the clinicians' point of view, VPE provided sufficient clinically relevant information for decision-making in neurological evaluations. Major barriers identified for VPE included technological issues, patient's health conditions, and their health literacy.

Perceived challenges in treatment decision-making for endometriosis: healthcare professional perspectives.

Background: Endometriosis, a systemic chronic inflammatory condition which has no cure, has a high symptom burden that can negatively impact every facet of life. Given the absence of a gold-standard treatment, the best symptom management regimen in endometriosis is heavily reliant on a patient's values and preferences, making shared decision-making (SDM) vital. However, a comprehensive patient decision aid (PtDA) intervention that could facilitate patient decision-making and promote SDM is lacking in endometriosis, and there is little research on the decisional support needs of individuals with this condition. This qualitative study aimed to explore healthcare professional (HP) perspectives of their clients' decisional support needs when choosing treatments to manage endometriosis symptoms, with a view to evaluating the need for a PtDA. Methods: Australian HPs identified as specialising in endometriosis care (N = 13) were invited to participate in a short interview over the Internet by phone. Questions focussed on perceived facilitators and challenges of decision-making when choosing treatments for endometriosis. Transcribed qualitative data were thematically analysed and verified by multiple coders, using the template approach. Results: Four themes were identified: (1) Identifying and setting priorities; (2) HPs' lack of time and perceived lack of knowledge; (3) Patient-centred care and SDM, including patient capacity; and (4) Decision-making blinded by hope. This is the first known study to explore HPs' perspectives on patient decision-making challenges in endometriosis. Discussion: Findings draw attention to the difficulties people with endometriosis experience when assessing and choosing treatments, highlighting the need for a comprehensive PtDA intervention to support this decision-making.

Correction: Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study.

[This corrects the article DOI: 10.2196/45942.].

Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study.

BACKGROUND: The Health eLiteracy for Prevention in General Practice trial is a primary health care-based behavior change intervention for weight loss in Australians who are overweight and those with obesity from lower socioeconomic areas. Individuals from these areas are known to have low levels of health literacy and are particularly at risk for chronic conditions, including diabetes and cardiovascular disease. The intervention comprised health check visits with a practice nurse, a purpose-built patient-facing mobile app (mysnapp), and a referral to telephone coaching. OBJECTIVE: This study aimed to assess mysnapp app use, its user profiles, the duration and frequency of use within the Health eLiteracy for Prevention in General Practice trial, its association with other intervention components, and its association with study outcomes (health literacy and diet) to determine whether they have significantly improved at 6 months. METHODS: In 2018, a total of 22 general practices from 2 Australian states were recruited and randomized by cluster to the intervention or usual care. Patients who met the main eligibility criteria (ie, BMI>28 in the previous 12 months and aged 40-74 years) were identified through the clinical software. The practice staff then provided the patients with details about this study. The intervention consisted of a health check with a practice nurse and a lifestyle app, a telephone coaching program, or both depending on the participants' choice. Data were collected directly through the app and combined with data from the 6-week health check with the practice nurses, the telephone coaching, and the participants' questionnaires at baseline and 6-month follow-up. The analyses comprised descriptive and inferential statistics. RESULTS: Of the 120 participants who received the intervention, 62 (52%) chose to use the app. The app and nonapp user groups did not differ significantly in demographics or prior recent hospital admissions. The median time between first and last app use was 52 (IQR 4-95) days, with a median of 5 (IQR 2-10) active days. App users were significantly more likely to attend the 6-week health check (2-sided Fisher exact test; P<.001) and participate in the telephone coaching (2-sided Fisher exact test; P=.007) than nonapp users. There was no association between app use and study outcomes shown to have significantly improved (health literacy and diet) at 6 months. CONCLUSIONS: Recruitment and engagement were difficult for this study in disadvantaged populations with low health literacy. However, app users were more likely to attend the 6-week health check and participate in telephone coaching, suggesting that participants who opted for several intervention components felt more committed to this study. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12617001508369; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=373505. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2018-023239.

Consumer Informatics and One Health: Shifting the Focus from the Individual to the Globe. Findings from the Yearbook 2023 Section on Education and Consumer Health Informatics.

OBJECTIVE: To summarise the state of the art during the year 2022 in consumer health informatics and education, with a special emphasis on "One Health". METHODS: We conducted a systematic search of articles published in PubMed. We build queries to merge terms related to "consumer health informatics", "one health", and "digital". We retrieved 94 potential articles for review. These articles were screened according to topic relevance and 12 were selected for consideration of best paper candidates, which were then presented to a panel of international experts for full paper review and scoring. The top five papers were discussed in a consensus meeting. Three papers received the highest score from the expert panel, and these papers were selected to be representative papers on consumer informatics for exploring one health from consumer perspective in the year 2022. RESULTS: Bibliometrics analysis conducted on words found in abstracts of the 12 candidate papers revealed four clusters of articles, where clustering outcomes explained 96.91% of the dispersion. The first cluster composes three papers related to patient engagement in primary care practices, using digital-delivered diabetes prevention programmes, or exploring citizen involvement in co-designing environmental projects (such as air pollution exposure and health). The second cluster represents four papers related to digital health literacy and consumer behavior, such as digital vaccine literacy, and food labelling influences and whether displaying Nutri- and Eco-Score at food product level led to improved consumer choices. The third cluster consists of two papers exploring strategies to involve citizens in various science projects while analyzing the quality of citizen-collected data (e.g., mosquito bites or gastropod community dataset). The last cluster contains three papers related to the relationships between human behavior with their environment and their contribution to citizen science projects (e.g., biological water quality in the Netherlands distribution, composition, abundance of debris across sandy beaches in Australia and its regions, urbanization and reptile biodiversity across Florida). CONCLUSION: Traditionally, consumer health informatics focuses on providing individuals with tools and resources to actively manage their own health. By incorporating a global health (or one health) perspective, our field is now at a crossroad, demanding us to think beyond the individual and challenging us to instill the thinking that our actions not only have consequences on the individual but also on the population and the environment. Perhaps this is also a reflective time for the consumer informatics field, to consider shifting the focus from the individual to one that is more aligned with one health, helping consumers gain awareness of how their actions impact on the individual, the population and the environment, and providing them with tools to work collectively to help decide how their actions may bring benefits (as well as harms) across these levels.

Are chronic condition management visits translatable to telehealth? Analysis of in-person consultations in primary care.

BACKGROUND: Telehealth was rapidly adopted in primary care during COVID-19. However, there is a lack of research assessing how translatable in-person consultations are to telehealth. OBJECTIVE: To examine insights from in-person GP-Patient consultations for patients with chronic conditions, including 1/frequency, duration, conditions of physical examinations, and when they occur during consultations, 2/types of physical artefacts used, 3/clinical tasks performed, and 4/translatability of clinical tasks to telehealth. METHODS: Eligible consultations were extracted from a dataset archive named HaRI, which contains 281 in-person GP consultations in de-identified transcript and video format. 38 consultations were included for analysis meeting eligibility criteria in this study. A multi-method approach (using content analysis, visualisation, video and time analysis) was applied to eligible consultations, extracting clinical tasks that involve physical interactions. Finally, an evidence-based scoring system was used on each clinical task, determining the likelihood of whether each task could be translated into telehealth. RESULTS: Nine chronic conditions were observed across 38 GP-Patient consultations, predominately diabetes (39 %, 15/38). Out of these 38 consultations, 76 % (29/38) featured physical examinations, where 68 % (26/38) were initiated by GPs (e.g., auscultation), and 26 % (10/38) were initiated by patients (e.g., self-palpation). The average percentage of time spent on physical examination(s) during consultations is low (13.6 %, SD = 9.4 %). A total of 24 clinical tasks were observed across these 38 consultations. Out of these 24 tasks, 92 % (22/24) were supported by physical artefacts. The average score of a task being translatable to Telehealth is 7/10 (where Score 1 = Not amenable to being replicated over telehealth at this stage, scoring 10 = Easily translatable over telehealth with almost no additional equipment being required). CONCLUSION: All tasks observed across chronic condition management visits were deemed translatable/potentially translatable to telehealth. However, physical interactions between GPs and patients are still essential. Future research in telehealth should focus on examining ways to support physical examination, reduce uncertainty, promote safety netting, and facilitate patients' safety at home with effective technology and support.

Smart Tech and Elderly Care: Anticipated and Unanticipated Consequences.

This study examines the unintended consequences (UICs) and benefits of three smart home monitoring technologies for the elderly, utilizing a consequences framework for analysis. Insights gained can help to prevent negative outcomes, maximize benefits, and inform more effective implementation strategies. Preliminary findings reveal several UICs and benefits, with ongoing research to be presented in the final poster. Understanding the potential impact of these technologies is essential to ensure their safe implementation for elderly individuals.

Consuming Health Information and Vulnerable Populations: Factors of Engagement and Ongoing Usage.

OBJECTIVES: To summarise the state of the art during the year 2021 in consumer health informatics and education, with a special emphasis on "Inclusive Digital Health: Addressing Equity, Literacy, and Bias for Resilient Health Systems". METHODS: We conducted a systematic search of articles published in PubMed using a predefined set of queries. In order to build queries, we have used a common understanding of digital inclusion. Leaving no one behind in the digital age requires not only reaching the most vulnerable populations, but also those people and population groups that are not digitally literate. It implies appropriate access, digital skills, and usability and navigability aspects in the development of technological solutions. Thus, we identified 126 potential articles for review. These articles were screened according to topic relevance and 13 were selected for consideration of best paper candidates, which were then presented to a panel of international experts for full paper review and scoring. The top five papers were discussed in a consensus meeting. Four papers received the highest score from the expert panel, and these papers were selected to be representative papers on consumer informatics for exploring inclusive digital health in the year 2021. RESULTS: Bibliometrics analysis conducted on words found in abstracts of the candidate papers revealed five clusters of articles, where the clustering outcomes explained 93.58% of the dispersion. The first cluster analysed the use of mobile apps to improve quality of communications between racial subgroups (e.g., Black patients and their family members) and healthcare professionals, and reduce racial disparities in core palliative care outcomes. The second cluster revealed studies reporting health literacy and experience of patients with specific diseases or impairments (e.g., type 2 diabetes, asthma and deaf people). The third focused assessing the effectiveness of interactive social media interventions on changing health behaviors, health outcomes and health equity in the adult population. The fourth targeted people with limited health literacy, as well as potentially disadvantaged or marginalized groups (people with cerebrovascular or cancer problems, students with mental problems, African American Young adults), and explored how social media may help reduce health disparities and improve health outcomes. The last explored health literacy levels among groups who experience difficulties with health service engagement and retention (patients with cancer or lay consumers of online disease information). CONCLUSIONS: Although the query was built to address consumer inclusiveness and digital health, without specifying any health status or disease, COVID-19 was the topic in a lot of retrieved papers. Beyond the classic health issues targeted by social media (e.g., influencing health behaviors, from smoking and diet adherence to preventative screening and exercise habits), the pandemic has exposed many situations of vulnerability and health inequality. There is universal agreement on the necessity of a healthcare policy that addresses issues of gender, age, sexual orientation, and different cultures to ensure health equity for all, regardless of age or resources available. The place of digital health is studied both as a solution and a possible factor of accentuating healthcare disparities, inequalities, and exclusions. Healthcare providers should implement a digital health literacy plan to make sure health information technology is an option for everyone. Public health policies and health promotion strategies must focus on strengthening and adapting the digital health literacy in known vulnerable subgroups (ethnic and racial minorities, sexual and gender minorities, children and adolescents, elderly people, students population, impaired people, patients with cancer and chronic diseases) increasing citizen technology engagement and guaranteeing equity in access to information and in the skills to manage, discriminate, and apply information to health.

Preventing chronic disease in overweight and obese patients with low health literacy using eHealth and teamwork in primary healthcare (HeLP-GP): a cluster randomised controlled trial.

OBJECTIVES: To evaluate a multifaceted intervention on diet, physical activity and health literacy of overweight and obese patients attending primary care. DESIGN: A pragmatic two-arm cluster randomised controlled trial. SETTING: Urban general practices in lower socioeconomic areas in Sydney and Adelaide. PARTICIPANTS: We aimed to recruit 800 patients in each arm. Baseline assessment was completed by 215 patients (120 intervention and 95 control). INTERVENTION: A practice nurse-led preventive health check, a mobile application and telephone coaching. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes were measured at baseline, 6 and 12 months, and included patient health and eHealth literacy, weight, waist circumference and blood pressure. Secondary outcomes included changes in diet and physical activity, preventive advice and referral, blood lipids, quality of life and costs. Univariate and multivariate analyses of difference-in-differences (DiD) estimates for each outcome were conducted. RESULTS: At 6 months, the intervention group, compared with the control group, demonstrated a greater increase in Health Literacy Questionnaire domain 8 score (ability to find good health information; mean DiD 0.22; 95% CI 0.01 to 0.44). There were similar differences for domain 9 score (understanding health information well enough to know what to do) among patients below the median at baseline. Differences were reduced and non-statistically significant at 12 months. There was a small improvement in diet scores at 6 months (DiD 0.78 (0.10 to 1.47); p=0.026) but not at 12 months. There were no differences in eHealth literacy, physical activity scores, body mass index, weight, waist circumference or blood pressure. CONCLUSIONS: Targeted recruitment and engagement were challenging in this population. While the intervention was associated with some improvements in health literacy and diet, substantial differences in other outcomes were not observed. More intensive interventions and using codesign strategies to engage the practices earlier may produce a different result. Codesign may also be valuable when targeting lower socioeconomic populations. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ACTRN 12617001508369) (http://www.ANZCTR.org.au/ACTRN12617001508369.aspx). TRIAL PROTOCOL: The protocol for this trial has been published (open access; https://bmjopen.bmj.com/content/8/6/e023239).

Visit Types in Primary Care With Telehealth Use During the COVID-19 Pandemic: Systematic Review.

BACKGROUND: Telehealth was rapidly incorporated into primary care during the COVID-19 pandemic. However, there is limited evidence on which primary care visits used telehealth. OBJECTIVE: The objective of this study was to conduct a systematic review to assess what visit types in primary care with use of telehealth during the COVID-19 pandemic were reported; for each visit type identified in primary care, under what circumstances telehealth was suitable; and reported benefits and drawbacks of using telehealth in primary care during the COVID-19 pandemic. METHODS: This study was a systematic review using narrative synthesis. Studies were obtained from four databases (Ovid [MEDLINE], CINAHL Complete, PDQ-Evidence, and ProQuest) and gray literature (NSW Health, Royal Australian College of General Practitioners guidelines, and World Health Organization guidelines). In total, 3 independent reviewers screened studies featuring telehealth use during the COVID-19 pandemic in primary care. Levels of evidence were assessed according to the Grading of Recommendations Assessment, Development, and Evaluation. Critical appraisal was conducted using the Mixed Methods Appraisal Tool. Benefits and drawbacks of telehealth were assessed according to the National Quality Forum Telehealth Framework. RESULTS: A total of 19 studies, predominately cross-sectional surveys or interviews (13/19, 68%), were included. Seven primary care visit types were identified: chronic condition management (17/19, 89%), existing patients (17/19, 89%), medication management (17/19, 89%), new patients (16/19, 84%), mental health/behavioral management (15/19, 79%), post-test result follow-up (14/19, 74%), and postdischarge follow-up (7/19, 37%). Benefits and drawbacks of telehealth were reported across all visit types, with chronic condition management being one of the visits reporting the greatest use because of a pre-existing patient-provider relationship, established diagnosis, and lack of complex physical examinations. Both patients and clinicians reported benefits of telehealth, including improved convenience, focused discussions, and continuity of care despite social distancing. Reported drawbacks included technical barriers, impersonal interactions, and semi-established reimbursement models. CONCLUSIONS: Telehealth was used for different visit types during the COVID-19 pandemic in primary care, with most visits for chronic condition management, existing patients, and medication management. Further research is required to validate our findings and explore the long-term impact of hybrid models of care for different visit types in primary care. TRIAL REGISTRATION: PROSPERO CRD42022312202; https://tinyurl.com/5n82znf4.

Patient Work Personas of Type 2 Diabetes-A Data-Driven Approach to Persona Development and Validation.

Introduction: Many have argued that a "one-size-fits-all" approach to designing digital health is not optimal and that personalisation is essential to achieve targeted outcomes. Yet, most digital health practitioners struggle to identify which design aspect require personalisation. Personas are commonly used to communicate patient needs in consumer-oriented digital health design, however there is often a lack of reproducible clarity on development process and few attempts to assess their accuracy against the targeted population. In this study, we present a transparent approach to designing and validating personas, as well as identifying aspects of "patient work," defined as the combined total of work tasks required to manage one's health and the contextual factors influencing such tasks, that are sensitive to an individual's context and may require personalisation. Methods: A data-driven approach was used to develop and validate personas for people with Type 2 diabetes mellitus (T2DM), focusing on patient work. Eight different personas of T2DM patient work were constructed based physical activity, dietary control and contextual influences of 26 elderly Australian participants (median age = 72 years) via wearable camera footage, interviews, and self-reported diaries. These personas were validated for accuracy and perceived usefulness for design, both by the original participants and a younger (median age bracket = 45-54 years) independent online cohort f 131 T2DM patients from the United Kingdom and the United States. Results: Both the original participants and the independent online cohort reported the personas to be accurate representations of their patient work routines. For the independent online cohort, 74% (97/131) indicated personas stratified to their levels of exercise and diet control were similar to their patient work routines. Findings from both cohorts highlight aspects that may require personalisation include daily routine, use of time, and social context. Conclusion: Personas made for a specific purpose can be very accurate if developed from real-life data. Our personas retained their accuracy even when tested against an independent cohort, demonstrating their generalisability. Our data-driven approach clarified the often non-transparent process of persona development and validation, suggesting it is possible to systematically identify whether persona components are accurate or. and which aspects require more personalisation and tailoring.

Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach.

OBJECTIVE: People are increasingly encouraged to self-manage their chronic conditions; however, many struggle to practise it effectively. Most studies that investigate patient work (ie, tasks involved in self-management and contexts influencing such tasks) rely on self-reports, which are subject to recall and other biases. Few studies use wearable cameras and deep learning to capture and classify patient work activities automatically. MATERIALS AND METHODS: We propose a deep learning approach to classify activities of patient work collected from wearable cameras, thereby studying self-management routines more effectively. Twenty-six people with type 2 diabetes and comorbidities wore a wearable camera for a day, generating more than 400 h of video across 12 daily activities. To classify these video images, a weighted ensemble network that combines Linear Discriminant Analysis, Deep Convolutional Neural Networks, and Object Detection algorithms is developed. Performance of our model is assessed using Top-1 and Top-5 metrics, compared against manual classification conducted by 2 independent researchers. RESULTS: Across 12 daily activities, our model achieved on average the best Top-1 and Top-5 scores of 81.9 and 86.8, respectively. Our model also outperformed other non-ensemble techniques in terms of Top-1 and Top-5 scores for most activity classes, demonstrating the superiority of leveraging weighted ensemble techniques. CONCLUSIONS: Deep learning can be used to automatically classify daily activities of patient work collected from wearable cameras with high levels of accuracy. Using wearable cameras and a deep learning approach can offer an alternative approach to investigate patient work, one not subjected to biases commonly associated with self-report methods.

Consumer workarounds during the COVID-19 pandemic: analysis and technology implications using the SAMR framework.

OBJECTIVE: To understand the nature of health consumer self-management workarounds during the COVID-19 pandemic; to classify these workarounds using the Substitution, Augmentation, Modification, and Redefinition (SAMR) framework; and to see how digital tools had assisted these workarounds. MATERIALS AND METHODS: We assessed 15 self-managing elderly patients with Type 2 diabetes, multiple chronic comorbidities, and low digital literacy. Interviews were conducted during COVID-19 lockdowns in May-June 2020 and participants were asked about how their self-management had differed from before. Each instance of change in self-management were identified as consumer workarounds and were classified using the SAMR framework to assess the extent of change. We also identified instances where digital technology assisted with workarounds. RESULTS: Consumer workarounds in all SAMR levels were observed. Substitution, describing change in work quality or how basic information was communicated, was easy to make and involved digital tools that replaced face-to-face communications, such as the telephone. Augmentation, describing changes in task mechanisms that enhanced functional value, did not include any digital tools. Modification, which significantly altered task content and context, involved more complicated changes such as making video calls. Redefinition workarounds created tasks not previously required, such as using Google Home to remotely babysit grandchildren, had transformed daily routines. DISCUSSION AND CONCLUSION: Health consumer workarounds need further investigation as health consumers also use workarounds to bypass barriers during self-management. The SAMR framework had classified the health consumer workarounds during COVID, but the framework needs further refinement to include more aspects of workarounds.

Self-care Behaviors and Technology Used During COVID-19: Systematic Review.

BACKGROUND: Self-care behaviors are essential for people living with chronic conditions; however, the outbreak of the COVID-19 pandemic has imposed additional complications on their daily routines. Few studies have analyzed how self-care behaviors have changed during COVID-19 and the role of digital technology, especially among people with chronic conditions. OBJECTIVE: This study aims to review how self-care behaviors have changed for people with chronic conditions during the COVID-19 pandemic, and what technology they have adopted to manage their conditions during that period. METHODS: A systematic review was conducted using narrative synthesis. Data were extracted from PubMed, MEDLINE, EMBASE, PsycINFO, CINAHL, and Google Scholar, including articles from December 2019 onward. Eligible studies focused on adults diagnosed with chronic conditions undertaking any self-care tasks in line with the middle-range theory of self-care of chronic illness (ie, self-care maintenance, monitoring, and management). The methodological quality of the included articles was assessed with the McMaster Critical Review Forms for Quantitative or Qualitative Studies. RESULTS: In total, 36 primary research articles were included. Changes to self-care behaviors during COVID-19 among people with chronic conditions were organized according to the middle-range theory of self-care of chronic illness focusing on self-care maintenance (ie, medication adherence, physical activity, and diet control), self-care monitoring (ie, monitoring signs and symptoms), and self-care management (ie, consultations with health care providers). Positive self-care behaviors observed include the following: individuals trying to maintain good glycemic control during COVID-19 increased their medication adherence in 27% (10/36) of studies; and diet control improved in 50% (18/36) of studies. Negative self-care behaviors observed include the following: decline in physical activities and increased sedentariness were observed in 65% (23/36) of studies; poor diet control was observed in 57% (21/36) of studies; and self-monitoring of health status dropped in 43% (15/36) of studies. The use of technology to support self-care of chronic conditions during COVID-19 was reported in 72% (26/36) of studies. The actual use of telehealth in place of physical consultations during COVID-19 was observed in 50% (18/36) of studies, and other digital technologies (eg, social media apps, smartphone apps, web-based platforms, and web browsing) were used in 50% (18/36) of studies. Telehealth was discussed and recommended as the default technology in delivering future health care services during COVID-19 and beyond in 77% (28/36) of studies. CONCLUSIONS: This review highlighted the necessity to rethink how models of self-care should continue to address the demands of chronic conditions while being responsive to the imminent threats of infectious diseases. Perhaps the silver lining of COVID-19 is that adoption of digital technology (especially telehealth) among a vast cross-section of people with chronic conditions is possible. Future research should investigate effective ways to incorporate evidence-based digital health tools into these new models of self-care that address the challenges of chronic and infectious conditions.

Family informatics.

While families have a central role in shaping individual choices and behaviors, healthcare largely focuses on treating individuals or supporting self-care. However, a family is also a health unit. We argue that family informatics is a necessary evolution in scope of health informatics. To deal with the needs of individuals, we must ensure technologies account for the role of their families and may require new classes of digital service. Social networks can help conceptualize the structure, composition, and behavior of families. A family network can be seen as a multiagent system with distributed cognition. Digital tools can address family needs in (1) sensing and monitoring; (2) communicating and sharing; (3) deciding and acting; and (4) treating and preventing illness. Family informatics is inherently multidisciplinary and has the potential to address unresolved chronic health challenges such as obesity, mental health, and substance abuse, support acute health challenges, and to improve the capacity of individuals to manage their own health needs.

Consumer Informatics and COVID-19 Pandemics: Challenges and Opportunities for Research.

OBJECTIVE: To summarise the state of the art during the year 2020 in consumer health informatics and education, with a special emphasis on "Managing Pandemics with Health Informatics - Successes and Challenges". METHODS: We conducted a systematic search of articles published in PubMed using a predefined set of queries, which identified 147 potential articles for review. These articles were screened according to topic relevance and 15 were selected for consideration of best paper candidates, which were then presented to a panel of international experts for full paper review and scoring. The top five papers were discussed in a consensus meeting. Three papers received the highest score from the expert panel, and these papers were selected to be representative papers on consumer informatics for managing pandemics in the year 2020. RESULTS: Bibliometrics analysis conducted on words found in abstracts of the candidate papers revealed 4 clusters of articles, where the clustering outcomes explained 77.04% of the dispersion. The first cluster composed of articles related to the use of mobile apps for video consultation and telehealth during the pandemic. The second revealed studies reporting the lived experience of healthcare workers and patients during COVID-19. The third focused on ways people used the internet to seek for health information during the pandemic and the dissemination of fake news. The last cluster composed of articles reporting the use of social listening methods (e.g., via tweet hashtags) to explore the spread of the virus around the world. CONCLUSIONS: The pandemic outbreak of the novel coronavirus disease (COVID-19) constitutes a grave risk to the global community and sparks a significant increase in public interest and media coverage, especially on social media. Consumers are facing a new set of challenges that were not considered before COVID-19, often finding themselves in a world that is constantly changing-blended with facts and fake information-and unable to decide what to do next. Despite most people understanding the good will behind public health policies, one must not forget it is individuals we are supporting and that their personal circumstances may affect how they perceive and comply with these policies. Consumers more than ever need help to make sense of the uncertainty and their situation and we need to help them navigate the best option in a world that is constantly evolving.

How Patient Work Changes Over Time for People With Multimorbid Type 2 Diabetes: Qualitative Study.

BACKGROUND: The experiences of patients change throughout their illness trajectory and differ according to their medical history, but digital support tools are often designed for one specific moment in time and do not change with the patient as their health state changes. This presents a fragmented support pattern where patients have to move from one app to another as they move between health states, and some subpopulations of patients do not have their needs addressed at all. OBJECTIVE: This study aims to investigate how patient work evolves over time for those living with type 2 diabetes mellitus and chronic multimorbidity, and explore the implications for digital support system design. METHODS: In total, 26 patients with type 2 diabetes mellitus and chronic multimorbidity were recruited. Each interview was conducted twice, and interviews were transcribed and analyzed according to the Chronic Illness Trajectory Model. RESULTS: Four unique illness trajectories were identified with different patient work goals and needs: living with stable chronic conditions involves patients seeking to make patient work as routinized and invisible as possible; dealing with cycles of acute or crisis episodes included heavily multimorbid patients who sought support with therapy adherence; responding to unstable changes described patients currently experiencing rapid health changes and increasing patient work intensity; and coming back from crisis focused on patients coping with a loss of normalcy. CONCLUSIONS: Patient work changes over time based on the experiences of the individual, and its timing and trajectory need to be considered when designing digital support interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2018-022163.