Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

Background Telehealth shows promise for supporting patients in managing their long-term health conditions, such as chronic obstructive pulmonary disease (COPD). However, it is currently unclear how patients, and particularly older people, may benefit from these technological interventions. Aim To explore patients’ expectations and experiences of using a mobile telehealth-based (mHealth) application and to determine how such a system may impact on their perceived wellbeing and ability to manage their COPD. Design and setting Embedded qualitative study using interviews with patients with COPD from various community NHS services: respiratory community nursing service, general practice, and pulmonary rehabilitation. Method An embedded qualitative study was conducted to which patients were recruited using purposive sampling to achieve maximum variation. Interviews were carried out prior to receiving the mHealth system and again after a 6-month period. Data were analysed using a grounded theory approach. Results The sample comprised 19 patients (aged 50–85 years) with varied levels of computer skills. Patients identified no difficulties in using the mHealth application. The main themes encapsulating patients’ experience of using the mHealth application related to an increased awareness of the variability of their symptoms (onset of exacerbation and recovery time) and reassurance through monitoring (continuity of care). Conclusion Patients were able to use the mHealth application, interpret clinical data, and use these within their self-management approach regardless of previous knowledge. Telehealth interventions can complement current clinical care pathways to support self-management behaviour.

‘Qualitative research’ is an umbrella term that refers to various research methodologies including ethnography, phenomenology, action research, discourse analysis and grounded theory that use textual and/or visual rather than numerical data to explore meaning and perspectives of phenomena. However, it is often considered one unified approach and this lack of methodological distinction is problematic, particularly when thinking about how best to assess rigour in studies using qualitative methods.6–8

Self-management strategies have the potential to support patients with chronic obstructive pulmonary disease (COPD). Telehealth interventions may have a role in delivering this support along with the opportunity to monitor symptoms and physiological variables. This paper reports findings from a six-month, clinical, cohort study of COPD patients’ use of a mobile telehealth based (mHealth) application and how individually determined alerts in oxygen saturation levels, pulse rate and symptoms scores related to patient self-initiated treatment for exacerbations. The development of the mHealth intervention involved a patient focus group and multidisciplinary team of researchers, engineers and clinicians. Individual data thresholds to set alerts were determined, and the relationship to exacerbations, defined by the initiation of stand-by medications, was measured. The sample comprised 18 patients (age range of 50–85 years) with varied levels of computer skills. Patients identified no difficulties in using the mHealth application and used all functions available. 40 % of exacerbations had an alert signal during the three days prior to a patient starting medication. Patients were able to use the mHealth application to support self- management, including monitoring of clinical data. Within three months, 95 % of symptom reporting sessions were completed in less than 100 s. Home based, unassisted, daily use of the mHealth platform is feasible and acceptable to people with COPD for reporting daily symptoms and medicine use, and to measure physiological variables such as pulse rate and oxygen saturation. These findings provide evidence for integrating telehealth interventions with clinical care pathways to support self-management in COPD.

Background: Effective self-management in chronic obstructive pulmonary disease (COPD) is crucial to reduce hospital admissions and improve outcomes for patients. This includes early detection and treatment of exacerbations by patients themselves. Aims: To explore patients’ current understanding and experience of managing and identifying COPD exacerbations at home. Methods: A qualitative, interview-based study was carried out in patients’ homes. Interviews were audio-recorded, transcribed and analysed using a grounded theory approach. Forty-four patients (17 women, 27 men; age range 55–85 years), with moderate-to-very-severe COPD, were recruited to the interview study from primary and secondary care settings in Oxford, UK, during 2012–2013. Results: Patients identified exacerbations on the basis of measurable, ‘visible’ symptoms, such as cough and sputum and ‘invisible’ symptoms, such as chest sensations and bodily knowledge. Most patients seemed to use a combination of these approaches when identifying exacerbations, according to the symptoms that had the most impact on their well-being. Patients used additional self-management strategies during an exacerbation, such as self-medication (antibiotics and steroids) and monitored their recovery. Contact with health-care professionals usually occurred when patients felt no longer able to manage themselves. Conclusions: Patients use both assessment of objective biomarkers, which are aligned with medical knowledge, and subjective symptoms based on their experience, to identify and manage exacerbations of COPD. Health-care professionals and clinicians should acknowledge this ‘expert patient’ knowledge and integrate this into patients’ care plans to facilitate early recognition and treatment of exacerbations.

Background: Many people are accessing digital self-help for mental health problems, often with little evidence of effectiveness. Social anxiety is one of the most common sources of mental distress in the population, and many people with symptoms do not seek help for what represents a significant public health problem. Objective: This study aimed to evaluate the effectiveness of a self-guided cognitive behavioral internet intervention for people with social anxiety symptoms in the general population. Methods: We conducted a two-group randomized controlled trial in England between May 11, 2016, and June 27, 2018. Adults with social anxiety symptoms who were not receiving treatment for social anxiety were recruited using online advertisements. All participants had unrestricted access to usual care and were randomized in a 1:1 ratio to either a Web-based unguided self-help intervention based on cognitive behavioral principles or a waiting list control group. All outcomes were collected through self-report online questionnaires. The primary outcome was the change in 17-item Social Phobia Inventory (SPIN-17) score from baseline to 6 weeks using a linear mixed-effect model that used data from all time points (6 weeks, 3 months, 6 months, and 12 months). Results: A total of 2122 participants were randomized, and 6 were excluded from analyses because they were ineligible. Of the 2116 eligible randomized participants (mean age 37 years; 80.24%, 1698/2116 women), 70.13% (1484/2116) had follow-up data available for analysis, and 56.95% (1205/2116) had data on the primary outcome, although attrition was higher in the intervention arm. At 6 weeks, the mean (95% CI) adjusted difference in change in SPIN-17 score in the intervention group compared with control was −1.94 (−3.13 to −0.75; P=.001), a standardized mean difference effect size of 0.2. The improvement was maintained at 12 months. Given the high dropout rate, sensitivity analyses explored missing data assumptions, with results that were consistent with those of the primary analysis. The economic evaluation demonstrated cost-effectiveness with a small health status benefit and a reduction in health service utilization. Conclusions: For people with social anxiety symptoms who are not receiving other forms of help, this study suggests that the use of an online self-help tool based on cognitive behavioral principles can provide a small improvement in social anxiety symptoms compared with no intervention, although dropout rates were high. Trial Registration: ClinicalTrials.gov NCT02451878; https://clinicaltrials.gov/ct2/show/NCT02451878